bluuebunny/crossref_metadata_2025 huggingface dataset:
Automated Sign to Speech Conversion Model using Deep Learning
Authors: Ghadekar Premanand , Anand Divsehaj , Gupta Aryan , Sharma Dheeraj , Oswal Preeti , Khare Shreyas
Published: January 2022

Unable to communicate verbally is a disability. In order to exchange thoughts and interact, there exist severalways. The most predominant method involves use of hand-gestures. The prime motive of the proposed researchwork is to bridge the research gap in Sign Language Recognition with maximum efficiency. The goal is to replacethe human mediator with a machine to minimize human interference. This paper focuses on the recognition of ASLin real-time. In automatic sign language translator design the challenging part lies in selecting a good classifierto classify the static input gestures with high accuracy. CNN architecture is used to design a classifier for signlanguage recognition in the proposed system. The model and the pipeline architecture is developed by keras basedconvolutional neural network to classify 27 alphabets that is 26 English language alphabets and a unique character,space. With different parameter configurations, the system has trained the classifier with different parameters andtabulated the results. The proposed study achieved an efficiency of 99.88% on the test set. The result shows thatthe model accuracy improves as more data is fetched from various subjects for training.
Intelligent Automated Irrigation System Based on Soil Sensors and Weather Forecast Data
Authors: Abhijeet Thakare
Published: January 2022

There are lots of factors that support the economic development of the country. Agriculture plays a very crucial role in the process of economic development of any country. In this scenario, farmers are principle person which contributes to National Income as well as they are the important source of food supply to the entire nation, irrespective of the developed, undeveloped, or developing nation. Farmers face various problems related to insufficient capital amount, soil erosion, seeds, lack of automation, and irrigation of soil. In this paper, we propose a novel concept of an automatic irrigation system called AGRIDUINO, which will target to solve the problem of lack of automation and irrigation of soil. In the traditional method, farmers have to do manual irrigation of multiple agriculture fields, situated in various geographical areas. In this case, there is a chance of giving excess or less water to plants. A huge amount of water is also wasted. Our Proposed system AGRIDUINO efficiently handles this scenario. The Proposed System efficiently detects water content of the soil (soil moisture), weather, temperature, and forecasting of rain, and based on these parameters our Decision Tree algorithm will predict, whether to make water motor ON or OFF for watering the plants. We present propitious results by applying our proposed technique.
Denoised video with Specially Programmable Intelligent Bot
Authors: Parlewar Pallavi , Kumar Siddhant
Published: January 2022

The modern cardinal rebellion led robots to become common in many areas such as military, medicine, agriculture, various industry etc. for surveillance or improve the quality. Robots are specially used for safety and security of human being. This enhances the quality of human life. Surveillance can also save life of the people or protect them from serious injuries.  Intentional crime can be caught with the help of surveillance. This project propose Specially Programmable Intelligent Bot (SPiBot) robot is connected to the local network and takes commands from a computer on network. This can be done using SSH or Anydesk. The raspberry pi streams the feed from the camera to the local network using a command which starts the stream using the VLC media player’s in built network streaming functionality. The user can open the stream on any computer on the local network. The video is denoised using Ridgelet Transform
Performance analysis of LSTM model on equity domain data
Authors: Agrawal Lalit , Adane Dattatraya
Published: January 2022

Predicting the stock market trend is a difficult problem because of its dynamic nature and other external factorsaffecting it. This research work is done to assess the trend in stock prices and to check whether using differenttrading prices like open, high and low instead of using just the closing price gives more accurate results. For thispurpose, we have used the long short term memory (LSTM) model and trained this model by using historic stockprices data. We created three different data frames from the historic stock price data (from the year 2000-2019)such that the first data frame contains median stock price calculated by finding the median of all the trading pricesfor each row of data. Similarly, the second data frame contains max stock prices among all the trading prices andthe third data frame contains min stock price among the trading price. Then three different LSTM models arecreated and trained using these three data frames. We then test these three models by using them to predict thestock prices for the year 2020 and plot a graph with traces for the actual stock prices of the year 2020 and predictstock prices by these three models. It was observed from the plotted graph that the traces for the actual andpredicted stock prices were very close to each other which means that the models are giving satisfactory results.
Determine the most powerful predictor of the body image and its association with gender and body mass index in adolescent at school age in Ahvaz, South of Iran
Authors: Miladinia Mojtaba , Elahi Nasrin , Darabiyan Pouriya , Molavynejad Shahram , Kenarangi Taiebe
Published: January 2022

Introduction: The body image focuses on how to understand, think, feel, body and appearance of the body. At the age of school and adolescence, girls and boys experience different situations, so this can affect their mental image. Therefore, the aim of this study was to determine the most powerful predictor of the body image and its association with gender and body mass index in adolescent at school age in Ahvaz. Methods: This is a descriptive-analytic epidemiologic study that examines body image in 458 high school girls and boys and its correlation with body mass index in Ahvaz city in 2018. Sampling was done by random cluster method. The data gathering tool was a demographic questionnaire , anthropometric information check list and self-body multi-dimensional relationship questionnaire to examine the mental image of the body. Data were collected using SPSS software version 17 and descriptive statistical tests and analytical at a significant level of 95%. Results: The results of this study showed that the mean weight and grade point average were significantly higher in female sex. Three dimensions of mental image had a significant correlation with BMI, but overall, the mental image did not have a significant correlation with BMI. It was also the strongest predictor of the student's image, so that there was an inverse and significant relationship between the level of education and the score of mental image. Conclusion: The results indicated. there was no difference in body satisfaction in female and male subjects and BMI, and also there was a significant and inverse relationship between education level and mental image score.
GIS-based Flood Risk Assessment in the Urban Catchment of Uyo Metropolis, Nigeria
Authors: Nsiegbe Dickson Kinikawo , Weli Vincent E , Chukwu-Okeah Gift O , Eludovin Olatunde S
Published: January 2022

Flood occurs as a result of rising global temperatures, more precipitation, increased runoff, and an increase in the rate of urban flooding. The goal of this research is to calculate the flood risk assessment of a selected urban catchment in the Nigerian metropolis of Uyo. Secondary data were obtained from Landsat images of the study area using a correlational research design. Using supervised categorization of landuse in the area, the watershed pattern, landuse/landcover, and inundation level were determined using the area's Digital Elevation Model. The study also used a GIS-assisted computer simulation of storm water created by enhanced DEM to assess storm water level and inundation as a function of landuse/landcover change. Storm water generation assessment, inundation modeling, assessment of land cover and level of inundation, and evaluation of flash flood susceptibility using modeled inundation were among the hydrological models and techniques used to analyze the data. The findings revealed that Uyo has a number of streams with varying flow lengths. Uyo has 21 sub-basins, according to the study. In uyo, the total runoff was greater (0.74) inches. In Uyo, the rate of change in catchment behavior, such as catchment precipitation, node flooding, and runoff, increased with the time of day, whereas the rate of change in runoff volume varied somewhat. The hydrograph was not wider because the sections of Uyo metropolitan that were prone to moderate and high floods were higher (78.03 percent ). Based on these findings, the study suggests that better city design is needed to control the impact of flooding in the study area. To prevent the loss of life and property, areas prone to moderate and high flood vulnerability should be closely monitored and secured.
A Fuzzy Knowledge-Based Approach for End-2-End Behavioural Analysis of Wormhole Attacks on Mobile Ad-Hoc Networks
Authors: Umoren Imeh , Okpongkpong Ekemini , Udoeka Ifreke
Published: January 2022

Mobile Ad hoc Networks (MANETs) involves series of travelling nodes communicating with each other without a fixed Set-up. Certainly, MANETs are networks that utilize communication peripatetic nodes such as; Personal Digital Assistants (PDAs), mobile phones, laptops which enable wireless transmission across an area and forwarding data packets to the other nodes resulting in frequent change in topology. MANETs are exposed to several communication assaults such as active attack and passive attack. The active attack disrupts network operations while the passive attack obtains information without upsetting normal networks operation. Wormhole is a typical case of active attack. Indeed, an attacker receives packets at one end of the network, tunnels them to another end of the network, and then replays them into the networks from that point resulting in a collapse in communication across wireless setups. This research work simulates and models a typical wormhole attack in MANET using Network Simulator (NS-2.35) and Fuzzy Inference System (FIS). The End-2-End behavioural analysis of wormhole attacks on the transmitting networks layer of MANET was realized. To detect the level of wormhole attack in the network several parameters such as Packet Delivery Ratio, Packet Forwarding Probability and Packet Dropping Probability were considered by determining the degree of severity of wormhole attack which may upset the Quality of Service (QOS) delivery. The aim of this research paper is in the direction of Network security optimization.
Colourization of Black and White Images using Deep Learning
Authors: Netha Guda Pranay , Manohar M.S.S. , Maruth M. Sai Amartya , Kumar Ganjikunta Ganesh
Published: January 2022

Colorization is the process of transforming grayscale photos into colour images that are aesthetically appealing. The basic objective is to persuade the spectator that the outcome is genuine. The majority of grayscale photographs that need to be colourized are of nature situations. Over the last 20 years, a broad range of colorization methods have been created, ranging from algorithmically simple but time- and energy-consuming procedures due to inescapable human participation to more difficult but also more automated ones. Automatic conversion has evolved into a difficult field that mixes machine learning and deep learning with art. The purpose of this study is to provide an overview and assessment of grayscale picture colorization methods and techniques used on natural photos. The study categorises existing colorization approaches, discusses the ideas underlying them, and highlights their benefits and drawbacks. Deep learning methods are given special consideration. The picture quality and processing time of relevant approaches are compared. Different measures are used to judge the quality of colour images. Because of the complexity of the human visual system, measuring the perceived quality of a colour image is difficult. Multiple metrics used to assess colorization systems provide results by calculating the difference between the expected colour value and the ground truth, which is not always consistent with image plausibility. According to the findings, user-guided neural networks are the most promising category for colorization since they successfully blend human participation with machine learning and neural network automation.
Estudio clínico y epidemiológico de Leishmaniasis Cutánea en un Hospital Nivel II Del Perú
Authors: Saldaña-Chafloque Charles Frank , Saldaña-Alfaro Miguel Ivan , Saldaña-Chafloque Rosita Isabel , Acosta-Román Mercedes
Published: January 2022

Objetivo: Determinar la identificación de caracteres epidemiológicos y clínicos proveniente de casos de leishmaniosis cutánea del Hospital de Tingo María (HTM), Leoncio Prado, Huánuco 2017–2020. Metodología: Estudio descriptivo, se llevó a cabo en base a la información recabada de las historias clínicas y epidemiológicas de los pacientes diagnosticados con leishmaniosis cutánea del HTM. Resultados: Se reportó prevalencia en las etapas joven (30,8%) y adulto (30,8%). El 84,6% de los casos fueron de sexo masculino. El 92,3% de los casos no presentaron antecedentes de la enfermedad, 61,5% de los pacientes realizaron pruebas de descarte de la enfermedad entre 3 a 6 meses. El distrito de Rupa Rupa (66,7%) presentó mayor cantidad de casos. Localizándose mayormente en el miembro inferior (46,2%) y el miembro superior (34,6%). La sintomatología y signos más comunes fue el dolor en la lesión con 92,3% y el prurito local con 96,2%; y la forma de diagnóstico fue el frotis en el 100% de los casos. Conclusiones: Aunque la incidencia de leishmaniasis cutánea reportados por el HTM ha disminuido últimamente; continúa persistiendo como una problemática en la salud de la población en esta región del Perú.
Incorporación de historietas en el aprendizaje del inglés básico en el Centro de Idiomas, Universidad Nacional Santiago Antúnez De Mayolo
Authors: Huerta Rosales Simeón Moisés , Ortega Villadeza Neyba
Published: January 2022

El presente estudio fue desarrollado con el propósito de conocer los resultados de la incorporación de las historietas en la estrategia de aprendizaje del inglés en los estudiantes del Centro de Idiomas de la Universidad Nacional Santiago Antúnez de Mayolo (UNASAM) con sede en la ciudad de Huaraz, región Áncash. Se empleó como metodología el tipo de estudio causal explicativo con diseño cuasi experimental en dos grupos no equivalentes; como prueba de hipótesis se aplicó la T de Student para muestras relacionadas con la finalidad de verificar la eficacia de la nueva estrategia. Los resultados permitieron demostrar que los estudiantes aprenden mejor el inglés cuando utilizan las historietas, a diferencia de quienes no las utilizan.  Se concluyó que el empleo de las historietas influye de manera significativa en la ampliación del vocabulario de los estudiantes, al expresarse con mayor claridad y precisión conceptual al momento de dialogar, mejorando su expresión oral en el inglés.
NEW DYNAMIC QUERY OPTIMIZATION TECHNIQUE IN RELATIONAL DATABASE MANAGEMENT SYSTEMS
Authors: SATYANARAYANA N. , SHARFUDDIN SK. , BHASHA SK.JAN
Published: January 2022

Query optimizer is an important component in the architecture of relational data base management system. This component is responsible for translating user submitted query into an efficient query evolution program which can be executed against the database. The present query evolution existing algorithm tries to find the best possible plan to execute a query with a minimum amount of time using mostly semi accurate statistical information (e.g. sizes of temporary relations, selectivity factors, and availability of resources). It is a static approach for generating optimal or close to optimal execution plan. Which in turn increases the execution cost of the query to reduce the execution cost of the query; I propose a new dynamic query optimization algorithm which is based on greedy dynamic programming algorithm uses randomized strategies and reduces the execution cost of the queries and system resources and also it works efficiently with distributed and centralized databases.
Rule Formation Application based on C4.5 Algorithm for Household Electricity Usage Prediction
Authors: Tempola Firman , Muhammad Miftah , Maswara Abdul Kadir , Rosihan Rosihan
Published: January 2022

Electrical energy is one of the essential energies for the world due to the fast growth of the world population and houses. In Indonesia, 95 % of the energy used in the household in 2017 is electrical energy. Therefore, reducing the use of electricity in the household is crucial. In the past decades, customers have carried out several approaches to reduce the use of their electricity. One of the widely used methodologies is the EMS. However, the PDCA model has not been implemented in electricity consumption. Subsequently, this study applies such an approach focusing more on the planning stage and is implemented in Ternate City, North Maluku, Indonesia. The C4.5 algorithm is applied at the planning stage to form a rule in predicting household electricity consumption. Moreover, the system performance is tested using the confusion matrix. The data of electricity consumption is collected and the data is treated with a varying amount depending on the number of the training data applied. The results of the system performance test by applying the confusion matrix are 76.22, 90.3, and  74.4 % for the highest accuracy value, precision, recall, respectively with the number of rules formed by 14.
HIGHLIGHTS

The need for electrical energy in Indonesia continues to increase, especially the use of household electricity
To reduce the consumption of electrical energy, a plan-do-check-act model is used. The research focuses on the plan stage by applying the C4.5 algorithm
The highest system accuracy is 73.33 % with 14 rules formed

GRAPHICAL ABSTRACT
Pengaruh Dimensi Kualitas Pelayanan Terhadap Loyalitas Pelanggan Di Wash Up Laundry Palangka Raya
Authors: Landari Yusi , Meitiana Meitiana , Karuehni Ina
Published: January 2022

Tujuan - Penelitian ini bertujuan untuk mengetahui Pengaruh Dimensi Kualitas Pelayanan yang terdiri dari Tangibles, Reliability, Responsiveness, Assurance dan Emphaty terhadap Loyalitas Pelanggan di Wash Up Laundry Palangka Raya.
Desain/Metodelogi/Pendekatan – Penelitian ini menggunakan pendekatan eksplanatory dengan teknik survey, jumlah sample dalam penelitian ini adalah 60 orang responden, sedangkan teknik analisis data dalam penelitian ini adalah menggunakan teknik analisis deskriptif dan teknik analisis linear berganda.
Hasil Penelitian - Hasil penelitian menunjukkan bahwa Dimensi Kualitas Pelayanan yang terdiri dari Tangibles, Reliability, Responsiveness, Assurance dan Emphaty berpengaruh signifikan terhadap Loyalitas Pelanggan di Wash Up Laundry Palangka Raya. Dan pada hasil analisis deskriptif menyatakan bahwa responden setuju dengan indikator-indikator yang diajukan.
Pengaruh Hubungan Antar Manusia dan Lingkungan Kerja Terhadap Etos Kerja Karyawan pada Dealer Sepeda Motor Honda Armada Tunas Jaya Palangka Raya
Authors: Risnawati  , Lenin Agau , Tunjang Hansly
Published: January 2022

Tujuan, - Penelitian ini bertujuan untuk mengetahui bagaimana pengaruh hubungan antar manusia dan lingkungan kerja terhadap etos kerja karyawan Pada Dealer Sepeda Motor Honda Armada Tunas Jaya Palangka Raya.
Desain/Methodologi/Pendekatan -  Metode penelitian yang digunakan dalam penelitian ini adalah metode deskriptif kuantitatif. Populasi dalam penelitian ini adalah seluruh karyawan Dealer Sepeda Motor Honda Armada Tunas Jaya Palangka Raya yang berjumlah 30 orang dengan teknik sensus.
Temuan penelitian - Hasil penelitian menunjukkan bahwa hubungan antar manusia berpengaruh positif dan signifikan terhadap etos kerja karyawan, lingkungan kerja berpengaruh positif dan signifikan terhadap etos kerja karyawan dan secara simultan hubungan antar manusia dan lingkungan kerja bepengaruh positif dan signifikan terhadap etos kerja karyawan.
Development of strain fringes in sedimentary rocks: Evidence for deformation of Upper Ordovician glacial diamictites in the western Srednogorie Zone
Authors: Chatalov Athanas
Published: January 2022

The local formation of quartz strain fringes around authigenic pyrite crystals and chamosite strain fringes around detrital grains is described from Hirnantian glaciomarine diamictites (Sirman Formation) of the Palaeozoic Balkan Terrane, now cropping out in the Alpine western Srednogorie Zone. The fringes belong to the antitaxial type and are interpreted as products of synkinematic, low temperature growth in microdilatation sites as a result of diffusive mass-transfer processes. The relatively simple fringe geometry and fiber orientation reflect coaxial progressive deformation that can be broadly related to the Variscan orogeny. Performed XRD analysis of shales intercalated with the diamictites indicates that the Upper Ordovician glacial deposits underwent a high-grade diagenetic alteration. Therefore, this study reports a rare case of development of strain fringes in non-metamorphosed sedimentary rocks.
Determination of the groundwater recharge in the Blagoevgrad valley Neogene sediments
Authors: Ivanov Marin , Damyanova Evelina , Droumeva Gergana
Published: January 2022

A comprehensive approach to determine the natural groundwater recharge in the Blagoevgrad valley Neogene sediments is presented. It involves the application of various methods such as the balance method, hydrodynamic modeling in GIS, the FeFlow numerical model, the Döll et al. empirical method. The obtained results show good similarity between different methods, including the long-term groundwater recharge for the study area calculated by rainfall infiltration. Therefore, the complex approach used gives an accurate estimate of the groundwater recharge in the Blagoevgrad valley associated with Neogene sediments. It can be successfully applied to determine the natural groundwater resources for other similar groundwater bodies. In this way, the groundwater resource assessments, management and conservation in Bulgaria can be significantly improved.
Heat Flow and Seismicity in Bulgaria
Authors: Khutorskoy Mikhail , Botev Emil , Protopopova Valentina , Benderev Aleksey , Tevelova Elena
Published: January 2022

The study of intra-earth processes requires a comprehensive approach, which should be based on the understanding different nature and origin depth of terrestrial processes. In this regard, the problem of the relationship between seismicity and heat flow in the lithosphere is of interest. We analyzed seismic observation data in Bulgaria from 1981 to 2018 using statistical methods. A significant correlation was found between the heat flow and the earthquakes magnitude, as well as between the thickness of thermal lithosphere and the magnitude. To assess the released friction heat and hydrodynamic processes during the earth’s crust movements, it is necessary to develop theoretical models based on a comprehensive analysis of the geological structure and geophysical fields in seismically active regions.
Development and knowledge for assessing the stability of rock masses and rock slopes in Bulgaria
Authors: Varbanov Radoslav , Hristov Alexander
Published: January 2022

This article examines the stages of construction of infrastructure in Bulgaria. Much of the existing railway infrastructure was built in the late 19th and early 20th centuries, when in practice there were no formulated requirements for assessing the stability of rocky slopes and workings carried out in rocky terrains. For this reason, the development of different methods for assessing the construction qualities of rock massifs is being considered. It is stated that the first methods for estimating the rock massifs are based only on the engineering-geological properties of the rocks, but not on their geostructural features. The development of methods for assessing the stability of tunnels and rock excavations, as well as the entry into them of necessary data from studies on the geostructural properties of rock massifs, are considered. Examples are given of the use of different methods in the assessment of the stability of rock slopes and tunnels in Bulgaria. It is emphasized that in the latest publications, the properties of the rock masses and their stability are described on the basis of the latest knowledge in the field of geostructural geology, geotechnics and normative documents.
The Role of Endogenous Peptides in the Systemic Self-Regulation of Organisms
Authors: Vakhania Malkhaz
Published: January 2022

Regulatory peptides are a wide group of biologically active compounds that affect the current physiological processes in living organisms. Peptides are synthesized in the organism of all biological species, from bacteria to mammals. From a biological point of view, the regulatory peptides have a versatile effect on the organism, they can act as neurotransmitters, neuromodulators, hormones, growth factors, cytokines, etc..The regulatory systems are necessary for all multicellular organisms, to control the function of the cell, to unite it, into one whole organism. In the first half of the 20th century, it was believed that, there were three types of such systems: nervous, immune and endocrine. It was considered that, these systems functioned independently andtheir interaction just was an exceptions. In the 60s of the 20th century, was accumulated enough scientific data, according to which the biologically active peptides were the determining factors of the joint action of the above systems.For today, the physicochemical properties, their specific action, synthetic analogues of physiologically active peptides have been explored.The chemical synthesis of regulatory peptides has been implemented and their therapeutic effects on the human body have been proven.The monograph presents the effect of endogenous peptides on various physiological processes in biological organisms, aslo theirstructural construction and mechanisms of action. In addition, there is discussed, the use and perspectives,of both natural and artificial peptides in medicine.
Analysis of sales return and economic order quantity to assess turn of goods inventory
Authors: Saprudin Saprudin , Dewi Sita , Pratiwi Tiara Hana
Published: January 2022

Significant developments in the manufacturing and household consumption industries form the background of this study. Analyzing the impact of sales return, EOQ (Economic Order Quantity) on the turnover of goods is the aim of this study. This study takes the sample of PT Informa Furnishing - Kota Kasablanka Mall, through financial statement data and related reports from 2015 to 2018, as well as interviews with company management. The results of this study illustrate that sales return also affects inventory turnover, Economic Order Quantity can also affect inventory turnover through the accuracy of the number of purchases of goods. Thus the management needs to maintain the quality of goods so that sales return can be minimized and must maintain the ideal amount of purchase of goods so that inventory is well maintained, and inventory turnover runs quickly.
The Burden of Metastatic Lymphadenopathy in Jammu Region - An Observational Study
Authors: Jandial Aishvarya , Mahajan Surbhi , Bhardwaj Subhash
Published: January 2022

Background: Lymphadenopathy may be the first sign of malignancy and use of FNA in the diagnosis of metastatic disease is well established. In patients with enlarged lymph nodes and previously documented malignancy, FNAC can obviate further surgery performed merely to confirm the presence of metastasis.
Aim: The objective was to study the relative frequency of various metastatic lymph node lesions in hospital based population in Jammu region.
Material and Methods: In this study, we analysed the clinicopathological features of metastatic lymphadenopathy, diagnosed on FNAC in the Jammu region of Jammu and Kashmir Union Territory of India over a period of three years.
Interpretation and Results: A total of 190 lymph nodes were labelled as metastatic on FNAC. The age of the patients ranged from 12 to 95 years, with maximum number of cases in 51-60 years age group. Male predominance was seen with a male: female ratio of 2.3:1.The cervical lymph nodes were involved most commonly (48.42%). The most common metastatic malignancy reported was squamous cell carcinoma (115 cases, 60.50%) with oral cavity being the most common primary site of malignancy.
Conclusion: In the present study FNAC proved to be a useful diagnostic modality in the diagnosis of metastatic malignancies due to its rapidity of diagnosis, ease of performance and minimal complications.

Keywords: Fine needle aspiration cytology, FNAC, Jammu, Lymphadenopathy, Metastatic.
The Impact of the COVID-19 Pandemic on the Budget Performance of the Kediri City Government
Authors: Anas M. , . Linawati , Mita Lukiani Eunike Rose
Published: January 2022

This study aims to analyze the impact of the Covid-19 pandemic on the performance of the Kediri City Government's budget (APBD), including: 1) analysis of regional revenue performance, 2) analysis of regional expenditure performance, with several elements of analysis for each type of performance analysis, and 3) performance analysis. Financing, so that the results of this analysis provide an overview related to the posture and performance of the budget and are expected to be a reference for the Kediri City Government in determining policies, especially the economic sector. Quantitative descriptive methods were used in this study to describe phenomena with data processing systems that were already available in the form of numbers that describe the Kediri City Government APBD. The analysis of research data used in this study was in the form of financial ratios sourced from the Kediri City Government Financial Statements for three years before the Covid-19 Pandemic (2017-2019) and at the moment the Covid-19 Pandemic (in 2020) occurred. The results of data analysis show that: (1) the performance of the revenue budget is categorized good, because the realization of income exceeds the set target. In 2020, although the realization of revenue could exceed the target, the percentage of revenue decreased compared to previous years, (2) as a impact of the Covid-19 Pandemic, the revenue of the City of Kediri in the 2020 fiscal year experienced a negative growth of -4.2%., (3) the budget performance of the Kediri City Government from 2017 to 2020 in the aspect of financial independence was categorized very low, (4) the realization of regional tax revenues and regional levies exceeds the targets set in APBD, and the performance of the Kediri City Government in the aspect of the effectiveness of local tax collection and regional levies were in the very effective category, (5) the performance of the Kediri City Government in collecting revenue in the form of regional taxes and regional levies was categorized efficient, (6) in the 2020 fiscal year, when the Covid-19 Pandemic occurs, the absorption of the Kediri City Government's budget was the lowest compared to previous years, (7) the 2020 budget year the growth of the Kediri City Government expenditure grew minus 8.00% (-8.00%) compared to the previous year, (8) the performance of the Kediri City Government in terms of spending efficiency for the last four years, from 2017 to 2020 has shown an efficient performance, (9) the Government of Kediri City allocates the budget in its APBD mostly for indirect expenditure (an average of 55%), which consists of personnel expenditure, grants, and social assistance, and the rest were allocated for direct expenditures (an average of 45%) which consists of goods and services expenditures, and capital expenditures, (10) SiLPA for the 2020 fiscal year has increased by 11% from the previous year's of SiLPA.

Keywords: Covid-19 Pandemic, Budget Performance, Revenue, Expenditure, Financing.
Employee Performance Management Scenarios in the Era of Work from Home
Authors: Hidayat Taofik , Maarif Syamsul , Asmara Alla
Published: January 2022

Almost all companies in the world have implemented the work from home (WFH) system in the last two years with the aim of limiting community activities in suppressing the spread of Covid-19. Interestingly, both companies and employees also feel benefited from this system, one of which for employees is that they can arrange work places and positions so that they can increase work motivation, for companies they can reduce company costs such as office rental costs. This study aims to analyze the effect of work from home on work motivation, job satisfaction and employee performance, the effect of job satisfaction on employee performance, the effect of work motivation on employee performance, and to create scenarios for managing employee performance. The study was conducted in October 2021 on 86 respondents who work at PT XYZ Jakarta, Surabaya and Medan branches. They were selected by volunteer sampling with the criteria of employees who have worked for at least one year with the level of position as supervisor and staff who have been assigned to work from home. Data were collected by distributing online questionnaires, then analyzed using descriptive analysis and SEM-PLS with the SmartPLS application and TAIDA analysis to determine managerial implications. The results showed that Work from Home had a direct and positive significant effect on Work Motivation and Job Satisfaction but not significant on Employee Performance, Job Satisfaction had a direct and positive effect on Employee Performance, and Work Motivation had no direct effect on Employee Performance. The form of managerial implications that can be carried out for managing employee performance is by using a hybrid work system, namely employees can work with a mixed system between work from home and work in the office.

Keywords: job satisfaction, employee performance, work motivation, work from home.
Implementation of Standard Operational Procedure (SOP) for Services, Government Policy and Information Technology of Communication on Improving Public Satisfaction of Balai Karantina Pertanian Kelas II Medan
Authors: Situmorang Hetty Evarina , Rini Endang Sulistya , Pujangkoro Sugiharto
Published: January 2022

Public satisfaction with the service performance of government officials is influenced by many factors such as application of Standard Operating Procedures (SOP), government policy, and the application of technology and information systems. Principles of Public service such as transparency, accountability, participation, conditionality, equality of rights and obligations as well as the balance of rights and obligations greatly affect public satisfaction with service systems and procedures. The present study is a survey using an associative quantitative approach aimed at determining the effect of the Standard Operating Procedures (SOP) in services, government policy, and information communication technology on improving public satisfaction of Balai Karantina Pertanian Kelas II Medan. The population included the people who used the service as of 80 people using quarantine services. The sampling method used a total sampling method so that there are 80 samples. The data collection method used a questionnaire. The collected data were then analyzed by using multiple linear regression. The results of the study indicated that Standard Operating Procedures (SOP), Government Policies, and Information and Communication Technology and Community Satisfaction have a positive and significant effect on community satisfaction. Standard Operating Procedure (SOP) partially has a positive and significant effect on community satisfaction. Government policies partially have a positive and significant effect on community satisfaction. Information and Communication Technology partially has a significant effect on community satisfaction. It is suggested to the Kantor Balai Karantina Pertanian Kelas II Medan to further improve the quality of service so that consumer satisfaction in online transactions can be further improved.

Keywords: Standard Operating Procedure, Government Policy, Technology Information, and Communication.
Apple Cider Vinegar Potential as an Adjuvant Therapy Breakthrough against Antibiotic Resistant Bacteria
Authors: Danupoyo Rizaldy Wahyudinata , Nolan John , Wijaya Audrey Rachel
Published: January 2022

Introduction: One of the medical emergencies worldwide is antibiotic resistance caused by the irrational use of antibiotics. This issue increases the mortality and morbidity rates and challenges in selecting the appropriate therapeutic regimen in bacterial infection cases. Solution inquiry is still being conducted, including the research and development of new antibiotics. However, there is still an imbalance between the pacing rate of new antibiotic discovery and the emergence of the antibiotic resistance problem, so that currently, there are plenty of studies on alternative therapies. Apple cider vinegar (ACV) is a fermented fruit product that has been shown to have antimicrobial effects.
Methods: This review article was composed by conducting a journal search with the keywords "antibiotic resistance", "apple cider vinegar", and "antimicrobial". Among 39 journals that have been reviewed, 30 were found to be suitable as references for this article review.
Results: ACV can be used as an option in adjuvant therapy for antibiotics in overcoming the problem of antibiotic resistance. ACV works by inhibiting the growth of bacteria, which can be done by eliminating the expression of several proteins and enzymes that are crucial in bacterial growth. ACV can also reduce pro-inflammatory cytokines, increase monocyte activity, and fight free radicals. In the meantime, ACV is easy to obtain at an affordable price. However, the lack of studies on the effects of ACV is still an obstacle to potentiating this adjuvant therapy.
Conclusions: ACV can be used as adjuvant therapy in overcoming the problem of antibiotic resistance. Further research is still needed to determine the exact mechanism and effectiveness of ACV in the problem of antibiotic resistance.

Keywords: antibiotic resistance, apple cider vinegar, antimicrobial.
Analysis of the Ecological Characteristics of Piperaceae in Tangkahan Forest, Langkat Regency, North Sumatra Province
Authors: Siregar Dyan Rahmaito , Aththorick T. Alief , Siregar Etti Sartina
Published: January 2022

Tangkahan is a tourist area that has a stretch of tropical rain forest with lowlands. In addition, the Tangkahan area also has a very wide area and a lot of biodiversity such as flora and fauna. The purpose of this study is to analyze the ecological characteristics of piperaceae in Tangkahan Forest, Langkat Regency, North Sumatra Province. This type of research is descriptive research. This research technique is an observation technique. Data retrieval using secondary data. The results of the research in the Tangkahan Forest area were found as many as 16 types of Piperaceae along with their ecological information.

Keywords: Ecological, Characteristics, Piperaceae.
Effectiveness of Interventional Package on Diabetes Distress and Quality of Life among Diabetic Patients
Authors: Doddamani Khajahusen , C Shriharsha , Natekar Deelip S.
Published: January 2022

Background of the Study: Diabetes Distress and poor quality of life are commonly seen problems among Diabetic Patients, which usually impede in proper management of diabetes and also can create serious mental issues if not treated properly.
Aims: the aim of the study was to assess effectiveness of interventional package on diabetes distress and quality of life among diabetic patients
Methodology: This was pre experimental study with one group protest post-test design. The population involved in this study was diabetes patients visiting diabetic club of HSK Hospital and research centre, Bagalkot and 50 subjects were selected using simple random sampling technique for the study. Data was collected using Diabetes Distress Scale and WHO Bref’s Quality of Life scale. Intervention package [Psycho Education & JPMR] was administered for 1 hour for 14 days (4 sessions biweekly). Data were analyzed by using descriptive and inferential statistics in terms of frequency distribution, percentage, mean, mean percentage, Standard Deviation, paired‘t’ test and Chi-square test.
Results: Findings related to Comparison of pre-test and post-test Diabetes Distress and Quality of Life scores of Diabetic Patients shows that, Mean post-test Diabetes Distress score is significantly lesser than mean protest Diabetes Distress score [t=12.373, p< 0.001] and Mean post-test Quality of Life score is significantly greater than mean pre-test Quality of Life score.[ t=9.802, p< 0.001]Significant association found between clinical variable, “Status of diabetes” with both Diabetes Distress scores and Quality of Life scores of Diabetic Patients and there was no association found for other socio demographic and clinical variables.
Conclusion: The study proved that Interventional package [Psycho education & JPMR] on Diabetes Distress scores and Quality of Life among Diabetic Patients was effective, scientific, logical and cost-effective strategy in managing the Diabetes Distress and in enhancing Quality of Life scores of Diabetic Patients.

Keywords: Diabetic Patients, Diabetes Distress, Quality of Life, JPMR Effectiveness, Interventional Package, clinical variables and Socio-demographic variables.
Evaluation of Dynamic Endurance of Back Extensors in Asymptomatic College Girls:
An Observational Cross-Sectional Study
Authors: Modi Krupal , Ray Mansi
Published: January 2022

Background: Prolonged sitting and reading can leads to reduced activity of trunk extensors and shown to be related to provoke back pain in near future among students. Various tests are used to evaluate the strength and endurance of abdominal and back extensors muscles which helps therapist in assessment, diagnosis and prognosis. This study evaluates endurance of the trunk extensor group of muscles using Repetitive Arch Up Test (RAUT) among college going students.
Aims: The aim of this study is to check the endurance of trunk extensor group of muscles in 19-23 years old female students studying in college.
Material & Methodology: This is a cross-sectional observational study done on 30 female participants between age group of 19-23 years studying for more than 8 hours in sitting position at one physiotherapy college. Repetitive Arch Up Test (RAUT) was used to measure endurance of back extensors. Data was collected and statistical analysis was done.
Results: The collected Data showed that, the mean and SD of RAUT is 22.73 ± 9.896, which suggest that there was significant reduction in the endurance of lumbar spine extensors in the undergraduate physiotherapy students attending lectures for 8 hours/day,6 days/week.
Conclusion: The present study concluds that, the trunk extensor endurance is markedly reduced in undergraduate physiotherapy students who currently do not have back pain. But if not treated can lead to risk of developing low back pain in future.

Keywords: Back muscle endurance, College students, Repetitive Arch-up test.
HAEMATOPOETIC EFFECT OF ETHYL ACETATE FRACTION OF HONEYCOMB IN RATS
Authors: Babayi H , Mustapha A. , Olayemi K. I. , A. L. Fadipe , Baba E.
Published: January 2022

Ethyl acetate fraction (Ec4) of honeycomb was evaluated for acute toxicity and haematopoietic effects in rats using standard methods. Oral LD50 of fraction Ec4 was 5000 mg/kgbw. Oral administration of Ec4 (25 mg/kgbw, 50 mg/kgbw and 100 mg/kgbw) for 28days did not cause any variation in neutophils, lymphocytes, monocytes, WBC, RBC PCV, MCHC, MCV and platelet counts of rats. Fraction Ec4 at 100mg/kgbw evoked an insignificant (P>0.05) increase in the levels of basophil and significant (P<0.05) decrease in eosinophil counts in treated rats compared with the control. The results of this study revealed the potentials of honeycomb in stabilizing the immune system. Therefore, the fraction could be standardized and developed into affordable and acceptable phytomedicine for various ailments. But caution should be exercised on chronic exposure since it is capable of causing allergy in rats.
Aesthetic of Video Poetry in Chuma Nwokolo’s “Sudan Sudan” by Al-amin El-nasir
Authors: El-Nasir Al-Amin Mohammed
Published: January 2022

Video poetry is an embodiment of literature called 'mediature'. This paper focuses on the new forms of poetry based on virtual reality. This is located in the fields of critical hypothesis, hermeneutics, semiotics, semantics of the text and digital culture. These new forms emerging from the expedition of literature (poetry) and new media are collectively called Digital Poetry. Digital poetry is referred to as E-poetry, short for electronic poetry, meaning a wide range of approaches to poetry that have in common the prominent and crucial use of computers or digital technologies and other devices. This work studies only video poems created to be read on the media accessible online or any video player such as electronic gadget. The paper offers the close-readings of Nwokolo’s “Sudan Sudan”one of numerous video poems available on the internet. This paper has been organized around two deeply interconnected approaches: aesthetic and analytic. The first approach judges the “novelty” of the phenomenon within a historical context. The aesthetic approach that is examined on the corpus is fundamental in order to establish a sort of typology of e-poetry and, consequently, to be able to start the analytic work. The aim of the study is on the one hand to highlight the basic features of video poems in order to make them more approachable and understandable as objects of study; and on the other it is to provide those who are interested in this new area of study with a sort of critical analysis of video poetry.
Political Extremism and Radicalism: Far-Right Groups in America
Authors: England Erica
Published: January 2022

Political Extremism and Radicalism: Far-Right Groups in America (hereafter known as PE&R) contains rare, hard-to-access primary sources that give insight into unorthodox fringe political and religious groups in the United States. The materials within the eight collections are from
radical right groups, including ephemera, newsletters, election propaganda, and sermons/lectures from ultra-nationalists, white supremacists, and extreme right-wing conservatives.
ProQuest TDM Studio: A Text and Data Mining Solution
Authors: Megwalu Anamika , Engelsen Anne Marie
Published: January 2022

TDM Studio is an integrated platform offered by ProQuest for data and text mining. TDM stands for text and data mining. This cloud-based, all-in-one innovative product is designed to offer researchers a clean interface with rights-cleared content, Jupyter notebook, and data visualization
tools. As a result, researchers can now search ProQuest databases, create large datasets, import data to Jupyter notebook for analysis, and download results within a day.