bluuebunny/crossref_metadata_2025 huggingface dataset:
On choosing governance structures
Authors: Biggiero Lucio , Laise Domenico
Published: June 2021

Two main paradigms split the core of the debate on governance structures: the maxi-minimizing and the satisficing paradigms. Some differences between the two has been hidden by the (only apparently) similarity of the “maximum” and “maximal” concepts. If the maximizing behavior refers to the maximum of the utility function and not to the maximal of a binary preference relation, then satisficing does not correspond to maximizing behavior. Besides such differences, from an empirically grounded point of view the maxi-minimizing approach to choose and to evaluate governance structures has relevant limitations. The remarkable limitations of the maxi-minimizing approach become further evident and crucial when one acknowledges that the comparison between alternative governance structures is – like almost any other human choice – unavoidably multicriteria. The absence of tradeoffs among the different criteria prevents the generalized use of a single real-valued function (utility, profit, cost, etc.) to represent decision maker's goals. However, multicriteria problems can be solved when properly dealt with outranking methods. These are heuristic choice algorithms fully consistent with the satisficing paradigm and with the behavioral economic theory. In order to show its effectiveness, a tutorial example is discussed in detail comparing the three main forms of governance structures: market, hierarchy and network. They are scrutinized by four evaluation criteria: profitability, effectiveness, accountability and organizational capability. It will be demonstrated that the outranking algorithm can solve multicriteria decision making problems under conflicting criteria of evaluation. Outranking solutions are at the same time satisficing solutions, that take into account and operationalize the Simonian “levels of aspiration” through concrete parameters.
A holistic approach to the productivity paradox
Authors: Wigblad Rune , Lewer John , Hansson Magnus
Published: June 2021

Both the public and private sectors have since the 1980s relentlessly cut the size of their workforces. The downsizing has regularly been reported to lead to closure of a whole or a part of a corporation or organization. Some studies which have analyzed the closures have reported that remarkable, counterintuitive improvements in labor productivity occurred during the time-period between the closure announcement and the final working day. Testing an elaborated cybernetic model on a Swedish case study, and on an exploratory basis, this paper proposes a holistic approach to generate a better understanding of this phenomenon. The main holistic pattern is a new order where management control is replaced by more “Self-management” on the plant level, and very strong psychological reactions based on feelings of unfairness.
A study on key failure factors for introducing enterprise resource planning
Authors: Hsiao Yuan-Du , Yang Ching-Chow , Lin Wen-Tsann , Lee Wei-Cheng
Published: June 2021

ERP (enterprise resource planning) is a management information system that optimizes distribution of enterprise resources and helps a business to integrate all its resources for fast and effective application to improve its operational performance and enhance its competitiveness. Consequently, a failure evaluation model for introducing ERP, together with the factors and reasons for failures are presented in this research, acting as a reference for businesses when planning and making important decisions on ERP.

This study uses the DMAIC of the 6-Sigma approach and a failure evaluation model for introducing ERP that involves expert opinions, a questionnaire, V-shaped performance evaluation matrix (PEM), statistical methods, QFD & FMEA (quality function deployment & failure mode and effects analysis) methods, and QFD & AHP (quality function deployment & analytic hierarchy process) methods to find 6 key success factors and 8 key strategies for introducing ERP. The results of empirical application indicate that internal employee complaints were reduced, supply efficiency of chain suppliers was increased, and customer complaints about quality were decreased. Therefore, the approach presented in this paper is truly effective for business. It is hoped that these key factors can serve as references for other enterprises when introducing ERP.
Information transformation: Some missing links
Authors: Vaghely Ivan P. , Julien Pierre-André , Cyr André
Published: June 2021

Using grounded theory along with participant observation and interviews the authors explore how individuals in organizations process information. They build a model of human information processing which links the cognitivist-constructionist perspective to an algorithmic-heuristic continuum. They test this model using non-parametric procedures and find interesting results showing links to efficient information processing outcomes such as contributions to decision-making, knowledge-creation and innovation. They also identify some elements of best practice by efficient human information processing individuals whom they call the “information catalysts”.
Exploring online shoppers' e-trust in China
Authors: Pang Chuan , Yen David C. , Tarn J. Michael
Published: June 2021

B2C e-commerce in China is surprisingly not as prosperous as people expect in the current stage. The lacking of consumers' trust is believed to be one of the major handicaps for further development and growth of B2C e-commerce in China. This study segmented online shoppers with different e-trust levels based on their past online purchasing experience and income. This study proves that online shoppers in China with higher e-trust levels are more likely to have higher purchasing power. It is suggested that the most effective marketing strategy for an e-commerce firm targeting the shoppers in China is to attract and promote their first online purchasing experience. Further, China's middle class has proven to be major online purchasers. E-firms who could gain their trust eventually will be more profitable in the cyberspace.
The relative impact of technology and sourcing practices in managing manufacturing flexibilities – Evidence from large and medium scale enterprises in India
Authors: Oberoi J.S. , Khamba J.S. , Sushil  , Kiran R.
Published: June 2021

Manufacturing flexibilities improves an organization capability to respond to customer demands without incurring excessive time and cost penalties. The objective of this paper is to understand and explicate the nature of interaction between advanced manufacturing technology, sourcing practices and manufacturing flexibilities and assess their relative impact on different flexibilities for the trade off associated with the strategic choice between different methods of achieving manufacturing flexibilities. This research aims to report the findings of an exploratory study administered in North Indian medium and large manufacturing organizations, who are in the process of achieving the manufacturing flexibilities at all or various levels by acquiring, developing or utilizing the advanced manufacturing technology or by the use of specific/different sourcing practices. The statistical result suggests significant relationships between sourcing practices, advanced manufacturing technology and manufacturing flexibilities at different levels of manufacturing flexibility. The results also suggest that a organization could deploy specific sourcing practice or advanced manufacturing technology to target specific manufacturing flexibility in pursuit of agility-based competitive advantages.
Improving global business economics by seamless business integration framework
Authors: Qureshi Khubaib Ahmed , Dawood Mansoor-uz-Zafar
Published: June 2021

In improving global business economics, business integration has become a key issue for many companies to extend business market by integrating and streamlining processes both internally and with partners, cost effectively. To address this issue, whole marketplace has emerged for efficient software solution that can help to achieve improved business integration for improving global business economics, which is referred as EAI. Originally EAI was only focused around integrating ERP with other applications within enterprise but now it is generally used as a catch-all term to cover all the other aspects of global business integration. Major EAI approaches and evolution of enabling technologies ranging from EDI to Web Services and XML-based process integration are analyzed to provide cost effective, flexible, scalable and adaptable global EAI framework. Solution comprises the challenge of efficiently integrating diverse business processes and data across the enterprises to improve global business economics, while allowing the organizations to keep pace with and respond to market changes.
Shared services beyond sourcing the back offices: Organizational design
Authors: Wang Shouhong , Wang Hai
Published: June 2021

Shared services have been widely spread in the government and private sectors. Unlike outsourcing, shared service is the standardization and consolidation of common functions across the multiple organizations to reduce information process duplication and increase information and knowledge sharing. Shared services should be viewed less as a phenomenon of cost saving and more as a challenge of organization redesign. Five general leading theories of organizational design are examined in the perspective of shared services. A quasi-general organizational design approach is proposed specifically for shared services projects. The proposed approach emphasizes the organizational support for the shared services strategy identification, collaborative partnership network design, optimal shared services process design, and policy and regulation system design.
The social construction of Expert Systems
Authors: Romem Yoram
Published: June 2021

The social construction of Expert Systems (ES) is presented as series of power struggles and dramatic imbalances which were introduced to organizations. After analyzing the various players' roles in ES implementation, the article presents first the main ‘guilty’ entity for organizational ES failures: the Information Technology department (IT); then, a social explanation is suggested for the ‘zigzagging’ history of ES, arguing that they resurrected as ‘Business Rules’ in purification process which enabled their comeback. Unlike current discourse which attributes ES challenges to technical issues or usual users' and experts' resistance, the social analysis in this article suggests that IT was the most threatened entity and the most contributing to ES failures. Additional Science, Technology and Society (STS) theories are used for comparison and to assist in a new proposed explanation for ES historical journey.
Information technology support for integrated supply chain modeling
Authors: Chandra Charu , Grabis Jānis
Published: June 2021

Multiple interrelated decision-making models are frequently used in supply chain modeling. Model integration is a precondition for efficient development and utilization of these models. This paper discusses use of modern information technology (IT) techniques and methods for integration of supply chain decision-making models. The overall approach to using IT at various stages of model development is presented. Data and process modeling techniques are used to developed semi-formalized representation of integrated models. These models support integration of decision-making components with other parts of supply chain information system. Process modeling is also used to describe interrelationships among multiple decision-making models. This representation is used as the basis for implementation of integrated models. The service-oriented architecture is proposed as an implementation platform. The presented discussion serves as the basis for further developments in developing integrated supply chain decision-making models.
Toward a secure supply chain: A system's perspective
Authors: Li Xiangyang , Chandra Charu
Published: June 2021

Security management has become a critical topic that supply systems have to handle on a daily basis. An integrated view is not in place yet, despite that related studies have existed in disparate pieces and keep on emerging. This paper seeks an essential paradigm shift to design/management for security (DMfSec) within the context of supply chain management. The first part is devoted to defining a new discipline of security centric supply chain management (SecSCM). We identify its fundamental tasks and requirements aided by a metaphor borrowed from information security. The second part is a discussion of a potential technical roadmap. Vital and integral to this initiative, we firstly propose the referential taxonomy that systematically accounts for security constraints, requirements, instruments and management, and investigate its relationship to underlying supply chain constructs. Secondly, with the taxonomy in hand, we present modeling issues based on dependency representation and probabilistic analysis, which are suitable for security management. Lastly we consider key tasks in DMfSec and SecSCM. With an emphasis on elaboration of challenges and requirements and employing a process and system oriented perspective, this paper intends to start rather than conclude an adventure into this vast interdisciplinary field.
Eğitim Düzeyi Değişkeni Bağlamında ‘Gibi’ Söylem Belirleyicisinin Kullanımı
Authors: ALTIPARMAK Ayşe
Published: June 2021

Bu çalışmanın amacı anadili Türkçe olan ve yaşları 33 ile 78 arasında değişen yetişkin konuşmacıların konuşmalarında ‘gibi’ sözcüğünün kullanım sıklığını ve ‘gibi’nin bir söylem belirleyicisi olarak işlevsel kullanımlarını konuşmacıların eğitim düzeylerine göre incelemektir. Bu amaçla, eğitim düzeyleri farklı (ilk-ortaokul mezunu/ lisans-lisansüstü mezunu) katılımcıların yer aldığı iki farklı grup oluşturulmuştur. Bu gruplar içerisinde cinsiyet dağılımı eşit olacak şekilde planlanmıştır. Çalışmada 28’i kadın, 28’i erkek olmak üzere toplam 56 katılımcı yer almıştır. Tüm katılımcılarla hazırlıklı ve hazırlıksız olmak üzere iki farklı konuşma durumunda yüz yüze görüşmeler gerçekleştirilmiş ve bu görüşmeler kaydedilmiştir. Görüşmelerde her bir katılımcıdan en az 300 sözcükten oluşan konuşma verisi elde edilmiş ve bu veriler çevriyazıya dönüştürülmüştür. Araştırmanın sonunda, eğitim düzeyi yüksek katılımcıların hem hazırlıklı hem de hazırlıksız konuşma durumlarında ‘gibi’ sözcüğünü eğitim düzeyi daha düşük olan katılımcılara kıyasla daha sıklıkla kullandıkları gözlemlenmiştir. ‘Gibi’ sözcüğünün bir söylem belirleyici olarak işlevlerine ilişkin yapılan incelemelerde ise, ‘gibi’ söylem belirleyicisinin konuşma esnasında önceden verilen eski veya tekrarlanan bilgiye vurgu yapma; yaklaşık bir sayı veya miktar belirtme, açıklama yapma/örnekleme veya açıklama/örnek isteme; konuşmacının kendisine veya üçüncü şahıslara ait duygu ve düşünceleri aktarma; şüphe, belirsizlik veya kararsızlık belirtme; planlama esnasında sorun yaşanan durumlarda boşluk doldurma ve konuşmacı ile dinleyici arasında paylaşılan ortak bilgiye işaret etme olmak üzere yedi farklı işlevi yerine getirmek için kullanıldığı gözlemlenmiştir. Eğitim düzeyi yüksek katılımcıların ‘gibi’ söylem belirleyicisini hazırlıklı konuşma durumunda açıklama yapma/ örnekleme veya açıklama/örnek isteme işlevinde, hazırlıksız konuşma durumunda ise yaklaşık bir sayı veya miktar belirtme işlevinde eğitim düzeyi daha düşük olan katılımcılara kıyasla istatistiksel olarak anlamlı ölçüde daha fazla miktarda kullandıkları görülmüştür.
The Role of Journalists in Socializing Money Waqf
Authors: M. Yoserizal Saragih
Published: June 2021

This study aims to determine the role of journalists in socializing money waqf. This study use qualitative research. The role of journalism is a certain set of behaviors caused by a journalist (journalist) who collects, manages, writes, edits data, so as to produce information or news, whose information is about daily events, periodically using existing mass media facilities. In role theory explains that the role is a point of view insociologyandsocial psychology which assumes that most daily activities are carried out by socially defined categories. Journalism plays an important role in disseminating messages or news to the public with the aim of disseminating something that is considered important to the community. The role of journalism in disseminating cash waqf to the public is as follows:agents of reform, social control tools, public educators, information providers, broadening horizons of thought, focusing attention, fostering aspirations, creating a constructive atmosphere, acting as a bridge, being able to recognize social norms, being able to cultivate tastes andable to change a weak attitude into a stronger attitude.
Marketing de relaciones como estrategia de diferenciación en la satisfacción del cliente: Caso de estudio en el sector universitario
Authors: Tobar-Garzón Johana , Fabara-Zambrano Xavier
Published: June 2021

La presente investigación nace de la necesidad competitiva de crear un vínculo perdurable entre la universidad y el estudiante. El marketing relacional es el conjunto de actividades encaminadas a establecer relaciones con los mismos con la finalidad de satisfacerle otorgándole un atributo diferenciativo y único. El método utilizado es de orden cuali-cuantitativo al encontrarse con información cualitativa y numérica. El estudio trabajó con una muestra de 242 estudiantes, a quienes se les aplicó una encuesta y cuyos resultados se resumieron en dos preguntas enfocadas en la calidad del servicio y la satisfacción del cliente. Como resultado, se desarrollaron estrategias de diferenciación basadas en el marketing relacional y se validó la información con la ayuda de expertos en estos temas. Este trabajo concluye que, el conjunto de estrategias encaminadas a la satisfacción del estudiante se convierte en una estrategia de diferenciación.
Análisis del desempleo durante la pandemia COVID-19 y el impacto en diferentes sectores económicos del Ecuador
Authors: Becerra-Sarmiento María , Valencia-González Edwin , Revelo-Oña Renato
Published: June 2021

La crisis económica ocurrida en Ecuador durante los años 2020 – 2021 como consecuencia directa de la pandemia del Covid19 agravó un problema que ya se experimentaba con la falta de empleo con la caída drástica del mercado laboral. El presente trabajo analiza los indicadores a través de varias fuentes sobre el desempleo en diferentes sectores económicos del Ecuador tomando como referencia los datos de años previos hasta la presente, se evidencia que en la actualidad solo dos de cada diez ecuatorianos tienen pleno empleo, esto quiere decir que cuentan con un trabajo que garantiza el cumplimiento de sus derechos laborales. Desde el Estado, se han tomado decisiones que, en lugar de beneficiar a las personas en condición de desempleo, han precarizado más su situación y han generado más perdidas de fuentes de empleo.
Valor de marca en una empresa farmacéutica de la ciudad de Machala: caso farmacias MIA
Authors: Orellana-Jaramillo Adriana , Ganchozo-García Karla , Aguilar-Gálvez William
Published: June 2021

El presente trabajo de investigación busca determinar el Brand Equity de la marca “Farmacias Mia” para conocer cómo es percibido en el mercado por ser uno de los líderes en la industria farmacéutica de la provincia de El Oro, mediante la aplicación de un modelo de encuesta a 383 personas económicamente activas (PEA) que compren o hayan comprado en Farmacias Mia en el último año, clientes de la ciudad de Machala, basada en el modelo de Resonancia de Marca propuesto por Keller (2008). El instrumento cuenta con un nivel alto de fiabilidad, lo que permite hacer un análisis de la percepción que poseen los clientes actualmente. Los resultados encontrados durante la investigación, luego de la aplicación del análisis factorial, muestran a la marca Farmacias Mia con un valor de marca caracterizado por el juicio, resonancia y el sentimiento hacia la marca. Por último, se determina que los perfiles de hombres y mujeres no tienen diferencia significativa, mientras que las personas con salarios mayores a 2 SBU presentan una percepción de valor de marca negativa, estos datos pueden mejorar dando importancia a los indicadores e implementando acciones estratégicas de marketing.
Seasonal Incidence of Major Sternorrhynchan Insect Pests Infesting Arecanut In South
India
Authors: Dubey Vinod Kumar , Kalleshwaraswamy C.M. , Shivanna B.K.
Published: June 2021

Field experiments were conducted during 2019-20 to know the seasonal incidence of three species of sternorrhynchan insect pests infesting in arecanut viz., whitefly, Aleurocanthus arecae, armoured scale, Chrysomphalus aonidum and mealybug, Pseudococcus longispinus in two different locations under southern transitional zone. The study revealed that, all the three species infesting arecanut were active throughout the year. Correlation studies of whiteflies showed that, rainfall was significantly positively correlated and maximum temperature and sunshine hours were significantly negatively correlated. For armoured scales, non-significant positive correlation with minimum temperature and for the mealybug resulted that the maximum temperature was significantly positively correlated whereas the relative humidity was significantly negatively correlated.
Comparative Study of Gender based Larvicidal Potency of Puntius ambassis, Ompak
bimaculatus, Channa marulius and Heteropneustes fossilis Native Fish Species of
Gwalior (M.P.) India: A Laboratory examination
Authors: Wani Mohammad Ishfaq , Shrivastava Sarita
Published: June 2021

Present study is focused on using some common native fish species of Gwalior (M.P.) as predator of mosquito larvae. All Predation experiments were conducted against mosquito larvae, pupae and alternative food (aquatic insects) at varying pray densities in separate aquariums containing analysed pond waters of Jal-vihar and fish farm of Gwalior (M.P.). The time duration of each predation experiments was three days and in each day, fishes were fed with mosquito larvae, pupae and alternative food at varying densities at different time intervals of a day. The study revealed that, Larvae consummation was positively related with the small fish species having female gender and prefered mostly small pray as food. Thus, small sized female fish species possessed greater predation efficacy on mosquito larvae and the sequence of larvicidal potency of female fish species was noted in the present study is Puntius ambassis>Ompak bimaculatus> Channa marulius> Heteropneustes fossilis. As per the results of our study, it is predicted that females have greater value of larvicidal potency than that of males. Thus, female gender plays an important and positive role of mosquito biocontrol at source level.
Assessment of habitats and conservation status of Amphibians in Sindh, Pakistan
Authors: Mangi Maryam , Shaikh Kalsoom , Shabrani Waheed , Gachal Ghulam Sarwar , Tagar Irfan , Rashdi Farman , Saifullah Khalid , Lakho Hira
Published: June 2021

Some interior areas of Sindh are poorly studied previously which are considered as main sites for present investigation. For the study of ignored amphibian fauna, we conducted a survey to observe the environmental condition of amphibian habitats. The physical characteristics of habitat such as types of vegetation and presence of predators were observed, while water samples were collected from all aquatic habitats for analysis of parameters i.e. pH, electric conductivity, total dissolved solids, total hardness, chloride, sulphate, phosphate, nitrite and nitrate as well as carbon dioxide. All the habitats were analyzed thoroughly and designated as highly contaminated and unfavorable especially for spawns and larvae and their conservation status was found entirely deteriorated, though abundance of vegetation was observed alongwith availability of potential predators.
Effect of different potting mixtures on growth and flowering characters of
Chrysanthemum cv. Haldighati
Authors: Monika Monika , Yadav Kulveer Singh , Chandla Ankush
Published: June 2021

This study evaluates the effect of different potting mixtures on growth and flowering of Chrysanthemum cv. Haldighati. The experiment was carried out at Agriculture Farm, School of Agricultural Sciences & Technology, RIMT University, Mandi Gobindgarh, Punjab, India. Different treatment methods include mixing sand, soil, cocopeat, ver powder, farmland fertilizer and perlite in equal proportions. Statistical analysis of the data show that the medium combination has a significant influence on the control value. The results show that the overall performance of Chrysanthemum is better in the medium with T7 (Perlite + FYM + garden soil (2:1:1)), but T5 is Vermicompost + FYM + Garden soil (2:1:1) has the highest main branches of each plant and the number of sub-branches per plant, the number of ray florets per flower, the length of ray florets and the width of ray florets. According to the obtained results, it can be concluded that compared with perlite Chrysanthemum, the potting medium treatment combination consisting of Perlite + FYM + garden soil (2:1:1) is most suitable for producing Chrysanthemums. It has been found that the light growth medium is more suitable for plant morphological development and continuous high-quality flower production.
Assessment of Genetic Variation in Selected Members of Family Apocynaceae using
SDS-PAGE
Authors: Singh Ravindra , Singh Mahendra Pal , Kudesia Rajdeep
Published: June 2021

Genetic variation of any plant species is very interesting in reducing genetic vulnerability as well as stabilizing production. In this regard, a study was undertaken to analyze the genetic variation among selected members of family Apocynaceae by using sodium dodecyl sulphate polyacrylamide gel electrophoresis (SDS-PAGE). In this study, a total of 53 protein bands were analyzed, out of them all bands were polymorphic with a total of 100% polymorphism. The electrophoresis of the proteins revealed protein bands in the range of 151 kD to less than 11 kD molecular weight. The similarity index calculated on the basis of presence and absence of protein bands ranged from 0.04 to 0.200. A dendrogram was constructed based on UPGMA (unweighted pair group method using arithmetic averages) clustering method revealed three clusters. Cluster I contained three species namely Thevetia peruviana, Catharanthus roseus and Nerium indicum, in which Thevetia peruviana and Catharanthus roseus were more close than Nerium indicum, while cluster II included only one species namely Rauvolfia serpentina. Carissa carandus emerged as the most primitive species forming an out group (cluster III). Thus, this study revealed that the SDS-PAGE method plays a key role in the study of protein based variation among selected plant species.
Impact of Two Different Methods of Extraction on Total Antioxidant Activity and Phenolic
Content in an Uncommon Plant (Sansevieria trifasciata) and Commonly Consumed
Fruits
Authors: Dohre Vandana , Yadav Surabhi
Published: June 2021

To determine and compare total antioxidant activity (TAA) and phenolic content (TPC) of Sansevieria trifasciata leaves’ extract with different fruits’ extract (Guava, Indian plum and Indian gooseberry) and fruit juices (Pomelo, Orange, and Beetroot) on the basis of two extraction methods, total phenolic content and antioxidant activity were analysed by Folin-Ciocalteu’s and Phosphomolybdate assay, respectively and expressed as equivalent to catechin. The extraction process of selected samples was done by using both decoction extraction method (DEM) and microwave-assisted method (MAE) of water solvent. Among both techniques of extractions, MAE exhibited significantly higher TPC and TAA than DEM. Compared to Sansevieria trifasciata plant extracts, there was a strong positive correlation coefficient (á<0.05) between the total phenolic contents and antioxidant activities of different fruit juices and fruit extracts in both the classical (DEM) and modern (MAE) techniques. Sansevieria trifasciata possesses a considerable amount of phenolic compounds and antioxidant activity concerning different fruit juices and fruit extracts which directly associated with health-promoting potential and appears as possible drug development for antioxidant. Among all extract and juices, Indian gooseberry possesses the greatest total phenolic content and antioxidant activity due to its higher TPC.
Studies on changes in muscle and liver glycogen in xylachlor induced fresh water
teleostean fish, Channa marulius
Authors: Kumar Raju , Gupta Moti Lal
Published: June 2021

Studies on Xylachlor (a weedicide) induced changes in plasma and muscle glycogen content have been made in an air breathing fresh water murrel fish, Channa marulius. It was observed that Xylachlor at all the concentrations (1.0 to 2.5ppm) caused marked effect on the levels of plasma as well as muscle glycogen of the fish under experiment causing a gradual decrease in the value as compared to control upto 96hrs of treatment in both sexes; thus indicating the deteriorated nutrient value of the fish exposed to xylachlor. The reason and mechanism of such changes have been discussed here.
AERODYNAMIC THRUST CHARACTERISTICS AND PERFORMANCE VALUATIONS FOR AN AEROSPIKE NOZZLE- REVIEW
Authors: Kumar Mishra Ankit , Goswami Vinit , Sarma Priyanka
Published: June 2021

Aerospike nozzles are now-a-days one of the
most emerging topics for research and development work
leading for the futuristic goals of an aerospace industries
and organizations. They are indulging in a class of
elevation balancing nozzle engines. These nozzle engines
are basically constructed for single-stage-to-orbit (SSTO)
as well as foremost engine for space vehicles. These nozzles
are about 75% shorter than the standard nozzle for
similar expansion ratios. Aerodynamic thrust variation
and performances play a key role in estimating forces
along with the injected flow and their characteristics. This
review paper deals with the aerodynamics
characterization, its properties at different conditions in
addition with the performance analysis of the aerospike
nozzle.
REVIEW ON THE MATERIAL SELECTION FOR THE COMMERCIAL AIR FILTER FOR ATMOSPHERIC AIR
Authors: Naitik Hiteshkumar Parikh , Patel Saras , Prajapati Rakesh , Bhavsar Harshit
Published: June 2021

In a modern times development of every sector
is very highly made. In urban area are very developing day
by day. In every sector the human beings try to make
more comfort for themselves. In such a case pollution of
air is increase in very high levels. Today, most of city
around the world, there is air quality is very poor levels.
Today air pollutants as hydrocarbon, soot particles, P.M
2.5 to 10 P.M are main causes of lung dieses. For
controlling air pollution many steps are implement by
Particular government and also research on them. This
studies going to find a more efficient material for
Commercial air filter to control a pollutants as
hydrocarbon, soot particles, and PM 2.5 tto10PM
concentration from Atmospheric air due to developing a
material for controlling this particulate and change the
material The aim of this research review is To find a more
efficient air filter material for commercial dust filter for
atmospheric air.
VOICE ASSISTANT - A REVIEW
Authors: A. Patil Ms. Aparna , Audumbar Gavali Ruchita , Suresh Shetty Shabdali
Published: June 2021

The purpose of this study is to discuss the
development of a Python-based Intelligent Software
assistant for the blind and visually impaired and everyone.
The application is designed to make it easier for visually
impaired or blind people to access Android devices so that
they can use library resources on Android devices.
Design/Methodology/Methods Collect mandatory data from
magazines, articles, books and samples, and analyze similar
applications. The application development method used is
the scrum method, including backlogs, sprints and scrum
meetings. From the operating point of view of the
application, both voice-to-text and text-to-speech methods
are used. Conclusion The application has been tested by
some users. Who is completely blind and has visual
impairment, and this app has been given good reviews. In
terms of implementation, the user gave a very satisfactory
answer to this application. Although the app is easy to use,
so are users Gives satisfactory answers to questions about
the usability of this application. Limitations/research
impact The application is still limited by user penetration,
and the application will only be built using Python as a
platform. In addition, due to the reliance on Google
libraries, it is very inconvenient to implement this
application in a way that only the local community can
understand. Social bullying through this application has an
impact on society, especially people with weaker eyesight
may be more productive and independent. This can reduce
social pressure in the community. Originality/Value The
application provides the blind, visually impaired and other
users with easy access to library resources on the device
where the application is installed from the Android device.
This feature can improve the access rights of the blind,
visually impaired, and ordinary people to the library.
Artificial intelligence technology is becoming more and
more active in human life The emergence and widespread
use of the Internet of Things
LITERATURE SURVEY ON CAR AND PEDESTRIAN TRACKING SYSTEM
Authors: W. Balkhande B , Chaurasia Rohit , Dhumal Pallavi , Gupta Kirti
Published: June 2021

This project focuses on Car and Pedestrian
Tracking System using Python. We are using OpenCV
(Computer Vision) and HAAR Cascade Classifier
Algorithm (Machine Learning Xml files). Since we are
tracking both car and pedestrian using computer vision,
we have considered two data sets one for car and one for
pedestrian with both positive and negative images. We are
using the object detection algorithms i.e. HAAR for this
project. Some of the possible application can be Traffic
Safety, Human - Robot Interaction, Surveillance
Application and Some application in vehicle detection
where it aims to provide information assisting vehicle
counting, Vehicle speed Measurements, Identification of
traffic accidents, Traffic flow prediction, and is also being
used in Tesla Industry for their Auto Drive mode.
Asmada (Vitis vinifera L.) Adventif Kök Taslaklarının Farklılaşmasının İncelenmesi
Authors: GÖKBAYRAK Zeliha , ENGİN Hakan
Published: June 2021

Araştırma, asmada (Vitis vinifera L.) adventif köklerin gövde dokularından farklılaşmasını mikroskobik düzeyde belirlemek amacına yönelik olarak temel bir çalışma niteliğinde gerçekleştirilmiştir. Köklendirme ortamında bekletilen Cabernet Sauvignon çeşidinin çelikleri kalınlıklarına (çap 1 cm’nin altı veya üstü) göre ayrılıp bazal kısımlarından 4-5 cm uzunluğunda kesilerek FAA (formalin %10, etanol %50 ve glasiyel asetik asit %5) ortamında muhafaza edilmiştir. 60-90 μm kalınlığında kesitlere ayrılan örnekler safranin ile boyanmıştır. Adventif köklerin gövde kesitini oluşturan dokuların iki farklı bölgesinden farklılaştığı tespit edilmiştir. İnce dal parçalarında (çap1cm) ise daha içte ve öze yakın bölgelerdeki hücre gruplarından farklılaşmıştır. Düzensiz bir hücre yığını halinde oluşan kallus, kambiyumuma bitişik floem bölgesinden gelişmektedir. Birbirlerinden bağımsız şekillenen adventif kök ve kallus oluşumunun aynı zaman aralığında olduğu gözlenmiştir.
Analisis Peramalan Peluang Bisnis Tanah Menggunakan Metode Double Exponential Smoothing
Authors: Hammam Muhammad Haidar , Amalia Eka Larasati , Pramudhita Agung Nugroho
Published: June 2021

PT. JNF is a company engaged in Engineering, Construction, and Project Management, located in South Jakarta. This company wants to develop its business by building housing in the city of Malang, to be precise in the Kedungkandang and Lowokwaru districts. The company needs some data and information about population density and land prices in the area to help the process of their project work. Providing information on data and forecasting results about population density and land prices in the area will help companies facilitate business development. Therefore, companies need an information system that can predict population density data and land prices in Kedungkandang sub-district and Lowokwaru sub-district, which functions to help companies see land business opportunities in Malang for housing development. The method used to make this system is the Double Exponential Smoothing method, because this method has a trend pattern that matches the data pattern of the object to be predicted. The data used are data from 2005 - 2018. The result of population density forecasting for Lowokwaru sub-district is 8713.98 and has a MAPE value of 1.39%, for Kedungkandang sub-district is 4949.07 and has a MAPE value of 2.55%, for the land price of Lowokwaru sub-district is 2777725.18 and has a MAPE value of 3.45 % and Kedungkandang sub-district is 1766560.27 and has a MAPE value of 8.36%. Based on the calculation of the MAPE value the results of the forecast above, it can be concluded that if the greater the constant value, the lower the MAPE value, the best constant value is between 0.6 - 0.9. The land business opportunity in Lowokwaru and Kedungkandang sub-districts is high based on the forecasting results of population density and land prices which tend to increase every year and the land business opportunity value based on ROI (Return of Investment) for the company is 0.38% of the initial capital.

Keywords: information systems, forecasting, land business opportunities, land prices, population density, double exponential smoothing.
Otomatisasi Peringkasan Teks Pada Dokumen Hukum Menggunakan Metode Latent Semantic Analysis
Authors: Rusbandi Millenia , Rozi Imam Fahrur , Batubulan Kadek Suarjuna
Published: June 2021

Pada masa sekarang, jumlah kriminalitas di Indonesia cukup banyak. Banyaknya jumlah kriminalitas di Indonesia akan berdampak pada jumlah dokumen hukum yang akan ditangani oleh aparat penegak hukum. Dalam pemahaman dokumen hukum, aparat penegak hukum seperti advokat, hakim, maupun jaksa harus membaca keseluruhan dokumen dimana akan memerlukan waktu yang cukup lama. Oleh karena itu dibutuhkan peringkasan agar aparat penegak hukum lebih mudah memahaminya. Sehingga salah satu solusi yang dibutuhkan yaitu dengan membuat sebuah ringkasan pada dokumen hukum dimana dokumen tersebut berbentuk PDF. Dalam hal meringkas teks, metode yang dapat digunakan yaitu algoritma Latent Semantic Analysis. Algoritma tersebut digunakan untuk menguraikan atau menganalisa makna yang masih tersembunyi dari suatu bahasa, kode atau jenis representasi lainnya, guna memperoleh informasi yang penting.

Dari pengujian terhadap 10 dokumen yang diringkas oleh pakar, diperoleh hasil precision, recall, f-measure dan accuracy secara berurutan pada peringkasan teks otomatis dengan metode Latent Semantic Analysis untuk compression rate 75% yaitu 53%, 27%, 35%  dan 71% lalu untuk compression rate 50% yaitu 54%, 56%, 55% dan 75%, serta  untuk compression rate 25% yaitu 51%, 79%, 61% dan 75%. Berdasarkan hasil penelitian dan pengujian yang telah dilakukan dapat ditarik kesimpulan bahwa Metode Latent Semantic Analysis dapat digunakan untuk melakukan peringkasan dokumen hukum.
Foreground Extraction pada Citra Daun Melon dengan Bantuan Deep Neural Network
Authors: Nugroho Muhammad Fajar Estu , Sanjaya Nurlana , Tubagus Ayu Shafira , Syarif M Rayhan Rizqullah , Rozikin Chaerur
Published: June 2021

Ekstraksi fitur merupakan tahapan dalam melakukan proses pengolahan citra. Ada banyak metode ekstraksi fitur yang dilakukan untuk proses pengolahan citra, salah satunya adalah ekstraksi foreground. Ekstraksi foreground yang merupakan segmentasi pada gambar diperlukan untuk memisahkan obyek utama pada citra yang akan diproses dalam pengolahan citra diperlukan untuk menyeleksi obyek utama dengan background-nya sehingga proses pengolahan citra bisa berfokus pada obyek utama. Ada berberapa algoritma yang bisa diterapkan untuk melakukan ekstraksi foreground, salah satu yang paling popular adalah algoritma Grabcut. Di dalam jurnal ini, kami mencoba melakukan ekstraksi foreground pada obyek daun melon sebagai obyek utama dengan harapan hasil dari ekstraksi foreground dapat lebih lanjut dimanfaatkan terutama dalam proses pengembangan aplikasi yang berhubungan dengan daun melon, seperti misalnya pendeteksian dini terhadap penyakit daun melon berbasis citra. Dalam jurnal ini ekstraksi foreground dilakukan dengan bantuan algoritma Grabcut dengan bantuan deep neural network yang didasarkan pada algoritma holistically-nested edge detection dan diaplikasikan sekaligus pada data obyek daun melon yang banyak. Algoritma yang diusulkan bertujuan untuk meningkatkan akurasi dari grabcut dan tetap menjaga user input dengan seminimal mungkin. Dengan melakukan pengujian berdasarkan pengujian kasus yang dibuat, hasilnya pada pengujian sebanyak 351 citra daun melon, terdapat 68% citra yang dapat diekstraksi citra daunya dengan sempurna.
Klasifikasi Penentuan Jenis Obat Menggunakan Algoritma Decision Tree
Authors: Nursyahfitri Rika , Maharadja Alfanda Novebrian , Farissa Riva Arsyad , Umaidah Yuyun
Published: June 2021

Data Mining merupakan suatu proses untuk mengidentifikasi informasi dan pengetahuan yang bermanfaat. Klasifikasi merupakan salah satu teknik data mining yang dapat digunakan untuk prediksi, dimana nilai yang diprediksi berupa label. Klasifikasi penentuan jenis obat bertujuan untuk memprediksi jenis obat yang tepat untuk pasien dengan menganalisis dataset yang telah diperoleh. Data yang digunakan pada penelitian ini adalah data hasil catatan medis pasien berdasarkan gejala penyakit yang diderita namun belum diketahui jenis obatnya. Dataset yang digunakan merupakan data sekunder, yang berasal dari kaggle.com. Data terdiri dari 200 record dengan 6 variabel (Usia, Jenis Kelamin, Tingkat Tekanan Darah, Tingkat Kolesterol, Na to K dan Jenis Obat) dimana 5 variabel sebagai predictor dan 1 variabel sebagai class target. Data kemudian dipresentasikan kedalam bentuk pohon keputusan dengan suatu model matematis menggunakan bahasa pemograman R. Untuk menyelesaikan permasalahan, maka digunakan sebuah metode klasifikasi dalam data mining yaitu decision tree C4.5. Algoritma C4.5 digunakan untuk menemukan hubungan antara calon sejumlah variabel, sehingga menjadi sebuah variabel target klasifikasi dengan pembagian data menjadi 2 yaitu 70% data training dan 30% data testing. Hasil pengujian yang diperoleh pada penelitian ini berupa aturan dan tingkat nilai accuracy sebesar 100%, sehingga dapat dsimpulkan kinerja algoritma C4.5 dinilai sangat baik dalam memprediksi jenis obat.
Deteksi Tungkai Bayi Pada Image Sequence Berbasis Vector Depth Estimation
Authors: Afriansyah Faisal Lutfi , Muna Niyalatul
Published: June 2021

Kamera secara umum tidak terkalibrasi dan tidak memilik fitur untuk menghitung vector depth (kedalaman vector). Karena untuk mendeteksi dan menemukan gerakan tungkai dibutuhkan nilai depth untuk mengenali fitur berupa nilai besaran magnitude dan besaran motion vector, tidak hanya berdasarkan parameter x dan y namun juga z sehingga dengan adanya tambahan parameter memudahkan dalam melakukan analisa gerakan terhadap sumbu gerakan dan motion vectornya. Paper ini membahas tentang metode untuk mendeteksi besaran magnitude dan besaran motion vector sebagai fitur gerakan tungkai pada bayi pasca operasi dengan mengurutkan gambar image sequence kemudian menemukan point of transfer motion frame destination dari bingkai frame reference dengan memperoleh depth (kedalaman vector) menggunakan fundamental matrix dari hasil generate motion vector. Metode ini direkomendasikan karena dapat dijadikan sebagai parameter untuk menghitung nilai fitur magnitude dan besaran motion vector dari inputan berupa image sequence dengan menghitung parameter intrinsic sehingga dapat dilakukan deteksi tungkai bayi pasca operasi. Penelitian ini menghasilkan nilai pengujian residual error sebesar 1,82x10-07. Hasil dari nilai fitur yang diperoleh dijadikan parameter untuk deteksi tungkai bayi dengan melakukan pengelompokkan (cluster) menggunakan K-Means. Hasil yang diperoleh terdiri dari cluster 0 dan 1, sebesar 36% dan 64% dengan presentase Incorrectly clustered instances 14.8936%.
Individuation in The Seventh Day of Creation: A Jungian Analysis
Authors: Hosseini Abdollah
Published: June 2021

Jung's individuation process is associated with the shadow, anima, self, sage, and persona archetypes, during which the protagonist achieves self-discovery and self- awareness. Abdel Khaliq Al-Rikabi’s The Seventh Day of Creation is one of the most popular Arabic novels in the twentieth century which has postmodern techniques including polyphony and time travel to present two main distinct narratives. If these intertwined narratives are considered separately, one can detect therein the archetypes informing Jung's idea of individuation. Most notably, the function of these archetypes in advancing the author's goal, which is a kind of self-discovery and creation of the novel, could be recognized in the novel’s first narrative, namely, Kitab Al-Kotob (Sirah Al-Zatiyeh). The psychological analysis of this narrative shows that the author encounters unconscious archetypal elements such as shadow, anima, and sage; toward the end of the process of individuation, he becomes aware of how the form and content of the narrative are created. The first story is Sirah Al-Zatiyeh which presents the process of self-discovery of the author himself, undergoes the process of individuation in order to collect the manuscripts of Rawouq. In a three-step process, the novel’s protagonist sets out on a symbolic journey to know himself and achieve self-discovery, after encountering the archetypes of the shadow (Badr and the poet), the anima (Warqa), and the sage (Shabib)..
The Inevitable Otherness behind the Mask in T. E. Lawrence’s Seven Pillars of Wisdom
Authors: Naser Hussain Arkan
Published: June 2021

The concept of “Otherness” can be perceived in several European narrative writings. Despite the complications that the definition of the term might imply, most of the works presented have a deliberate emphasis on presenting the deleterious chauvinisms concerning the Orient. In Orientalist literature, one can notice the insistence on keeping the potentials and differences between the East and the West. The reader is presented with a variety of events that serve to indicate the Western superiority over the East in all aspects. In this conception, the social, philosophical and cultural structure of the Eastern societies is to be considered inferior to the Western one. Therefore, negation is viewed as the only way of comparison between the two. This study examines T.E. Lawrence’s Seven Pillars of Wisdom (SPW) as a typical orientalist text. Moreover, it sheds light on the conflicting powers in the personal identity of Lawrence himself. Through evidences and insights, it argues that though Lawrence contends that he has written a travel narrative in SPW, the novel is an autobiography of an Orientalist imperial agent, a White Man who continues the tradition of reductionism and stereotyping and technically rests on Orientalist strategies..
Animosity towards Women in Eudora Welty's Literary Canon
Authors: Mahameed Mohammed
Published: June 2021

The paper investigates Eudora Welty’s concept of animosity towards women in her fiction. Her novels and short stories portray rape, sexual exhibitionism, sexual threats and brutality as inhuman experiences that sarcastically result in a vicious conversion of indignity and humiliation to the female sufferer instead of the male perpetrators. Welty suggests that this context creates a sense of intolerance which acts as a destroyer of women’s identity and sense of self. In this paper, the researchers attempt to reveal the mechanisms that subvert women’s sense of identity in a world usually controlled by men. Welty’s vision, in this sense, is that the social consciousness of the woman does not only evolve from the personal consciousness, but also intricately interacts with it. Welty’s works that are central to this study include Delta Wedding, The Robber Bridegroom, and the short fiction, including The Whole World Knows and Sir Rabbit..