bluuebunny/crossref_metadata_2025 huggingface dataset:
Eco Business Initiatives among Malaysian SME Green Technology Companies
Authors: Buyong Siti Zahrah , Syed Marzuki Sharifah Zannierah , Junid Junainah , Abdul Kadir Mohd Ali Bahari
Published: August 2021

Environmental problems are becoming more prevalent not only in Malaysia but globally as well. The most serious issue that has been posted is the lack of explicit environmental protection capabilities. According to the results of this study, regulations, consumer pressure, and social responsibility have a significant association with planned market benefits thus, have a wide-ranging effect, as they serve as a critical component in facilitating the company operating system's adoption of green practices. The country is heading to be a technologically advanced economy that is from material production to manufacturing and at the same time ensuring that sustainability is achieved.
 
Keywords: eco-business; Malaysian; SME; green
 
eISSN: 2398-4287© 2021. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.
DOI: https://doi.org/10.21834/ebpj.v6i17.2827
The Influence of Leadership Style on Strategic Decision in Response to Organizational Change
Authors: Aziz Nazirah , Tuan Mat Tuan Zainun , Zainuddin Zairul Nurshazana , Bhana Anrusha
Published: August 2021

With the impact of the Covid-19 pandemic, businesses have to take extensive change initiatives to stay competitive in the market. This paper addresses the significant role of the leaders in making strategic decisions to ensure business sustainability. This paper explores the influence of leadership styles on strategic decisions by reviewing past literature that discusses the relationship between various leadership styles and strategic decisions. The findings of this study will enhance the strategic decisions by identifying the prominent leadership style practiced by SMEs in facing change necessitated by the Covid-19 pandemic.
Keywords: Leadership styles; Strategic decision; Small Medium Enterprise; Organizational change.
eISSN: 2398-4287© 2021. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.
Current Usage of Standard Method of Measurement (SMM): Human behaviour issues
Authors: Nizam Akbar Anis Rosniza , Muzafar Siti Asmiza , Mohammad Mohammad Fadhil , Syed Jamaludin Shariffah Zatil Hidayah
Published: August 2021

In response to the issues of generating an effective BQ that is correctly measured, estimated, and quantified, there is a need for the industry's key players to be underpinned by a single standard method of measurement. Studies reported on the daunting issues of SMM usage, which affected generating an effective BQ. Through a survey and supported with expert interviews, this study will attempt to disclose behaviour usage of Malaysian SMMs in measuring Civil Engineering works. The results indicate that various SMMs still being used in developing BQs on the threshold of 2021.
Keywords: Bill of Quantity (BQ); Standard Method of Measurement (SMM); Human Behaviour; Usage of SMMs
eISSN: 2398-4287© 2021. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.
DOI: https://doi.org/10.21834/ebpj.v6i17.2873
Assessment on Accuracy of Design Science Research (DSR) Framework as a Daylighting Measurement Tool for Islamic Religious School
Authors: Raja Mohd Yazit Raja Nur Syaheeza , Mohd Husini Elina , Khamis Mohd Khedzir , Dodo Yakubu Aminu
Published: August 2021

Daylight efficiency correlates to window design. Guidelines recommend a 20 per cent window-to-floor ratio (WFR) at 900mm windowsill height, where acceptable 300 lx to 500 lx measured at 900mm working plane height.  However, Islamic religious schools use a 300mm height table known as ‘rehal’. Studies neglect the difference in required working plane height that effect window design and the illuminance level. A study was established to propose Syaheeza’s Daylight Rule of Thumb (DRT) for Islamic religious schools. This paper aims to highlight the reliability of the methodology framework used in Syaheeza’s DRT, such as surveys, Arabic handwriting performance assessment and computer simulations.
Keywords: Daylighting; Islamic religious school; methodology framework
eISSN: 2398-4287© 2021. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.
DOI: https://doi.org/10.21834/ebpj.v6i17.2877
Company Performance during Covid-19: Impact of Leverage, Liquidity and Cash Flows
Authors: Shaharuddin Sara Naquia Hanim , Mahmud Radziah , Mohd Azhari Nor Khadijah , Perwitasari Widya
Published: August 2021

Due to the movement control order, company performance is predicted to be highly affected by Covid-19 pandemic.  Thus, this study seeks to examine the impact of leverage, liquidity and cash flows from operations towards company performance during the Covid-19 pandemic. Using secondary data from public listed companies on Bursa Malaysia with two financial quarters in the financial year 2020, it is found that there is a significant impact of liquidity and cash flows from operations on company performance. This study may contribute as additional literature to future studies and provide sights to regulators in dealing with the pandemic outbreak.
Keywords: Covid-19; leverage; liquidity; cash flows
eISSN: 2398-4287© 2021. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians/Africans/Arabians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.
DOI: https://doi.org/10.21834/ebpj.v6i17.2878
Hybrid immunity: the immune response of COVID-19 survivors to vaccination
Authors: Gancino Marlon , Santiago Vispo Nelson
Published: August 2021

Hybrid immunity can become a turning-point opportunity to defeat the infection in context with the current pandemic scenario. Adopting policies aligned with the data mentioned above may be particularly beneficial for regions like Latin America. While this region shares only ~5% of the world population, it accumulates +16% of the ~200 million COVID-19 total cases, so far reported1. Acknowledging the reduced diagnostic capabilities of these countries, this entire area is probably one of the most affected globally, leading to one of the more numerous populations of convalescent people. From both an economic and pharmacological perspective, applying a one-dose regime of pertinent vaccines to convalescent individuals is sustainable5. As COVID-19 survivors may need just one vaccination to achieve high levels of protective immunity, massive antibody screening for SARS-CoV-2 spike antibodies could help prioritize and free up doses, optimize vaccine supply efficiency, and surpass problems linked to the current vaccine manufacturing bottleneck
Evaluation of the National Tuberculosis Surveillance System in Sana’a, Yemen, 2018: Observational Study
Authors: Al kalali Fadwa Salem Ahmed , Mahyoub Essam , Al-Hammadi Abdulbary , Anam Labiba , Khader Yousef
Published: August 2021

Background

Tuberculosis remains a public problem that is considered one of the top causes of morbidity and mortality worldwide. The National Tuberculosis Control Program in Yemen was established in 1970 and included in the national health policy under the leadership of the Ministry of Public Health and Population to monitor tuberculosis control. The surveillance system must be evaluated periodically to produce recommendations for improving performance and usefulness.

Objective

This study aims to assess the usefulness and the performance of the tuberculosis surveillance system attributes and to identify the strengths and weaknesses of the system.

Methods

A quantitative and qualitative evaluation of the national tuberculosis surveillance system was conducted using the Centers for Disease Control and Prevention’s updated guidelines. The study was carried out in 10 districts in Sana’a City. A total of 28 public health facilities providing tuberculosis services for the whole population in their assigned catchment areas were purposively selected. All participants were interviewed based on their involvement with key aspects of tuberculosis surveillance activities.

Results

The tuberculosis surveillance system was found to have an average performance in usefulness (57/80, 71%), flexibility (30/40, 75%), acceptability (174/264, 66%), data quality (4/6, 67%), and positive predictive value (78/107, 73%), and poor performance in simplicity (863/1452, 59%) and stability (15%, 3/20). In addition, the system also had a good performance in sensitivity (78/81, 96%).

Conclusions

The tuberculosis surveillance system was found to be useful. The flexibility, positive predictive value, and data quality were average. Stability and simplicity were poor. The sensitivity was good. The main weaknesses in the tuberculosis surveillance system include a lack of governmental financial support, a paper-based system, and a lack of regular staff training. Developing an electronic system, securing governmental finances, and training the staff on tuberculosis surveillance are strongly recommended to improve the system performance.
Studies of Depression and Anxiety Using Reddit as a Data Source: Scoping Review
Authors: Boettcher Nick
Published: August 2021

Background

The study of depression and anxiety using publicly available social media data is a research activity that has grown considerably over the past decade. The discussion platform Reddit has become a popular social media data source in this nascent area of study, in part because of the unique ways in which the platform is facilitative of research. To date, no work has been done to synthesize existing studies on depression and anxiety using Reddit.

Objective

The objective of this review is to understand the scope and nature of research using Reddit as a primary data source for studying depression and anxiety.

Methods

A scoping review was conducted using the Arksey and O’Malley framework. MEDLINE, Embase, CINAHL, PsycINFO, PsycARTICLES, Scopus, ScienceDirect, IEEE Xplore, and ACM academic databases were searched. Inclusion criteria were developed using the participants, concept, and context framework outlined by the Joanna Briggs Institute Scoping Review Methodology Group. Eligible studies featured an analytic focus on depression or anxiety and used naturalistic written expressions from Reddit users as a primary data source.

Results

A total of 54 studies were included in the review. Tables and corresponding analyses delineate the key methodological features, including a comparatively larger focus on depression versus anxiety, an even split of original and premade data sets, a widespread analytic focus on classifying the mental health states of Reddit users, and practical implications that often recommend new methods of professionally delivered monitoring and outreach for Reddit users.

Conclusions

Studies of depression and anxiety using Reddit data are currently driven by a prevailing methodology that favors a technical, solution-based orientation. Researchers interested in advancing this research area will benefit from further consideration of conceptual issues surrounding the interpretation of Reddit data with the medical model of mental health. Further efforts are also needed to locate accountability and autonomy within practice implications, suggesting new forms of engagement with Reddit users.
Function and Emotion in Everyday Life With Type 1 Diabetes (FEEL-T1D): Protocol for a Fully Remote Intensive Longitudinal Study
Authors: Pyatak Elizabeth Ann , Hernandez Raymond , Pham Loree T , Mehdiyeva Khatira , Schneider Stefan , Peters Anne , Ruelas Valerie , Crandall Jill , Lee Pey-Jiuan , Jin Haomiao , Hoogendoorn Claire J , Crespo-Ramos Gladys , Mendez-Rodriguez Heidy , Harmel Mark , Walker Martha , Serafin-Dokhan Sara , Gonzalez Jeffrey S , Spruijt-Metz Donna
Published: August 2021

Background

Although short-term blood glucose levels and variability are thought to underlie diminished function and emotional well-being in people with type 1 diabetes (T1D), these relationships are poorly understood. The Function and Emotion in Everyday Life with T1D (FEEL-T1D) study focuses on investigating these short-term dynamic relationships among blood glucose levels, functional ability, and emotional well-being in adults with T1D.

Objective

The aim of this study is to present the FEEL-T1D study design, methods, and study progress to date, including adaptations necessitated by the COVID-19 pandemic to implement the study fully remotely.

Methods

The FEEL-T1D study will recruit 200 adults with T1D in the age range of 18-75 years. Data collection includes a comprehensive survey battery, along with 14 days of intensive longitudinal data using blinded continuous glucose monitoring, ecological momentary assessments, ambulatory cognitive tasks, and accelerometers. All study procedures are conducted remotely by mailing the study equipment and by using videoconferencing for study visits.

Results

The study received institutional review board approval in January 2019 and was funded in April 2019. Data collection began in June 2020 and is projected to end in December 2021. As of June 2021, after 12 months of recruitment, 124 participants have enrolled in the FEEL-T1D study. Approximately 87.6% (7082/8087) of ecological momentary assessment surveys have been completed with minimal missing data, and 82.0% (82/100) of the participants provided concurrent continuous glucose monitoring data, ecological momentary assessment data, and accelerometer data for at least 10 of the 14 days of data collection.

Conclusions

Thus far, our reconfiguration of the FEEL-T1D protocol to be implemented remotely during the COVID-19 pandemic has been a success. The FEEL-T1D study will elucidate the dynamic relationships among blood glucose levels, emotional well-being, cognitive function, and participation in daily activities. In doing so, it will pave the way for innovative just-in-time interventions and produce actionable insights to facilitate tailoring of diabetes treatments to optimize the function and well-being of individuals with T1D.

International Registered Report Identifier (IRRID)

DERR1-10.2196/30901
Surgery With Arterial Resection for Hilar Cholangiocarcinoma: Protocol for a Systematic Review and Meta-analysis
Authors: Rebelo Artur , Ukkat Jörg , Klose Johannes , Ronellenfitsch Ulrich , Kleeff Jörg
Published: August 2021

Background

In light of recent advances in multimodality treatment, an analysis of vascular resection outcomes in surgery for hilar cholangiocarcinoma is lacking.

Objective

The aim of this meta-analysis is to summarize the currently available evidence on outcomes of patients undergoing arterial resection for the treatment of hilar cholangiocarcinoma.

Methods

A systematic literature search in the databases PubMed/MEDLINE, Cochrane Library, and CINAHL, and the trial registries ClinicalTrials.gov and the World Health Organization International Clinical Trials Registry Platform will be carried out. Predefined outcomes are mortality (100-day and in-hospital), morbidity (Clavien-Dindo classification, any type of complication), vascular complications (thrombosis or stenosis of the portal vein or hepatic artery, pseudoaneurysms), liver failure, postoperative bleeding, duration of surgery, reoperation rate, length of hospital stay, survival time, actuarial survival (2-, 3-, and 5-year survival), complete/incomplete resection rates, histologic arterial invasion, and lymph node positivity (number of positive lymph nodes and lymph node ratio).

Results

Database searches will commence in December 2020. The meta-analysis will be completed by December 2021.

Conclusions

Our findings will enable us to present the current evidence on the feasibility, safety, and oncological effectiveness of surgery for hilar cholangiocarcinoma with arterial resection. Our data will support health care professionals and patients in their clinical decision-making.

Trial Registration

PROSPERO 223396; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=223396

International Registered Report Identifier (IRRID)

DERR1-10.2196/31212
Identifying Relevant Disease Characteristics Regarding Psoriasis in Germany: A Retrospective Web Search Data Analysis (Preprint)
Authors: Wallnöfer Fabian , Erbas Mert , Tizek Linda , Schuster Barbara , Wecker Hannah , Biedermann Tilo , Zink Alexander
Published: August 2021

BACKGROUND

Little is known about what people with psoriasis are interested in when they search the web. As the Internet is becoming increasingly relevant as a source of information for health-related questions, the monitoring of online search behavior allows the assessment of interest in a disease on a more representative level by including people outside of medical settings.

OBJECTIVE

This study aims to reveal relevant aspects regarding psoriasis for people consulting the web.

METHODS

Google Ads Keyword Planner was used to select and evaluate relevant keywords for ‘psoriasis’ in the study period from September 2016 to August 2020. All keywords were qualitatively reviewed and descriptively analyzed in eleven categories.
The study considered the search volume for all of Germany with German as the language preference. One-way analysis of variance, Welch test and Pearson’s correlation coefficient were used to assess differences in the German states, annual search volume and seasons.

RESULTS

Among 11,170,740 German language Google searches on the topic of psoriasis, the keyword with the overall highest search volume was the German lay term for psoriasis “Schuppenflechte” (n=3,634,000, 32.5%), followed by “psoriasis” (n=2,675,600, 24.0%) and “psoriasis scalp” (n=369,200, 3.3%). In the general category, the most commonly searched for disease aspect related to the possible contagiousness of psoriasis (n=122,040).
“Head” (51.1%), followed by “nails” (15.9%), “hands” (8.8%), “feet” (7.8%), and “genital/anal area” (6.1%), was the most frequently searched for localization. Pustular forms of psoriasis were overrepresented in the search volume relative to their frequency in the literature.
Almost half of the search terms for therapy were represented by keywords related to alternative care and phytotherapy. Less than one percent of queries on therapy dealt with biologics.
Differences between the federal states for search volumes on treatment options (P<.001) and between annual search volumes (P<.001) were found.

CONCLUSIONS

Queries on pustular forms and difficult-to-treat areas gained high online interest, which suggests a subjectively higher burden of disease or underdiagnosis. Concerning therapy, people most notably consulted the web for alternative therapy options instead of guideline-conform therapies. This suggests possible therapy dissatisfaction, lack of patient information, or lack of access to guideline-conform therapy options. The possible infectiousness of psoriasis seems to remain an issue in the general population and should be continously addressed to reduce stigmatization.

CLINICALTRIAL
The Employment of Real-Time Polymerase Chain Reaction Using Species-Specific Primer Targeting on D-Loop Mitochondria for Identification of Porcine Gelatin in Soft Candy
Authors: Salamah Nina , Erwanto Yuny , Martono Sudibyo , Rohman Abdul
Published: August 2021

Analysis of non-halal components, such as pork and porcine gelatin, in food and pharmaceutical products is a need for halal authentication study. This research was aimed to develop a species-specific primer (SSP) to analyze DNA in porcine gelatin in soft candy using real-time PCR. The SSP to porcine DNA primer is designed using NCBI and Primer-BLAST software. The designed primer was subjected to a validation by assessing some parameters, including specificity, sensitivity, repeatability test, and linearity. The results showed that the real-time PCR with SSP targeting on mitochondrial D-loop specifically able to identify the presence of porcine DNA at an optimum annealing temperature of 50.5 °C. The coefficient of variation (CV) on repeatability analysis of Cq was 0.53%, and the efficiency value (E) for DNA amplification was 100%. Real-time PCR using D-LOOP porcine primer (forward: ACTTCATGGAACTCATGATCCG; reverse ATGTACGTTATGTCCCGTAACC) can also be successfully used for the identification of porcine gelatin DNA in soft candy.
Optimization of Polyurethane Membrane Physical Characteristics of Red Seaweed Biomass Using a Box-Behnken Design
Authors: Nurman Salfauqi , Saiful Saiful , Ginting Binawati , Rahmi Rahmi , Marlina Marlina
Published: August 2021

The polyurethane membrane is used as a separator either by filtration or adsorption, and this process is significantly affected by its strength and physical condition. We synthesized polyurethane membranes using red seaweed with Gracilaria sp as a hydroxyl source. The Box-Behnken Design of the Response Surface Methodology (RSM) using Software Design Expert Version 10.0.3.0 with three factors (TRL, TDI, and Glycerin). The F-value of 0.42 suggests that the membrane is less fit, while the P-value of 75.10% indicates that the quadratic design model is suitable for data analysis of physical characteristics. The optimal physical characteristics were obtained at a composition of 0.233 g TRL, 2.675 g TDI, and 0.254 g glycerin with a physical point of 6.5 (strong and elastic). Optimal polyurethane membrane has good thermal and mechanical properties at temperatures of Tg 58 °C, Tm 322 °C, and Td 534 °C, as well as stress and nominal strain values of 69.3 MPa and 5.74%. Polyurethane membrane synthesized from red seaweed has good physical properties. The result of this research is the basis for the development of polyurethane membrane applications from red seaweed.
A Journey in the Land of the Imaginative Art and Its Power to Defeat the Demons of Fear
Authors: Spurio, MD Maria Grazia
Published: August 2021

The world of art has always represented, among its functions, the search for an alternative world or universe to the real one, a parallel world where to take refuge both through production and through use, a world where to draw resources, fragments of imaginary space that represent aspects of reality, too disturbing and painful to be addressed.This experience, if properly elaborated in the psychotherapeutic field, thanks to the resources offered by the imaginative world of art, can facilitate and accelerate contact, with some of the same brain areas involved in the experience of pain, loss, mourning and fear.The deep emotional involvement that is experienced in front of a work of art, known as an aesthetic experience, allows the activation of brain areas that open the door to psychological experiences of growth and processing, with the language of the emotional mind.The intertwining of creative and visual arts with mental health starts from psychoanalyst considerations, such as Freud and Jung ones, who considered the work of art an expressive form of the unconscious and a derivative of the process of sublimation of the basic instinct and continues up to modern times with several studies on how to use artistic material as a tool for interpretation and resolution of internal conflicts. It is easy to see the relevance of this approach in an era that is going to begin, that of the post-covid, in which the “demons of fear” have sharpened their weapons even more because of the aftermath of anxieties and uncertainties left by Covid- experience.
Futureproofing Visual Effects
Authors: Samaras Evanthia
Published: August 2021

Digital visual effects (VFX), including computer animation, have become a commonplace feature of contemporary episodic and film production projects. Using various commercial applications and bespoke tools, VFX artists craft digital objects (known as â€œassetsâ€) to create visual elements such as characters and environments, which are composited together and output as shots.

While the shots that make up the finished film or television (TV) episode are maintained and preserved within purpose-built digital asset management systems and repositories by the studios commissioning the projects; the wider VFX network currently has no consistent guidelines nor requirements around the digital curation of VFX digital assets and records. This includes a lack of guidance about how to effectively futureproof digital VFX and preserve it for the long-term.

In this paper I provide a case study â€“ a single shot from a 3D animation short film â€“ to illustrate the complexities of digital VFX assets and records and the pipeline environments whence they are generated. I also draw from data collected from interviews with over 20 professional VFX practitioners from award-winning VFX companies, and I undertake socio-technical analysis of VFX using actor-network theory. I explain how high data volumes of digital information, rapid technology progression and dependencies on software pose significant preservation challenges.

In addition, I outline that by conducting holistic appraisal, selection and disposal activities across their entire digital collections, and by continuing to develop and adopt open formats; the VFX industry has improved capability to preserve first-hand evidence of their work in years to come.
Alfabetización, lectura y sociedad. Una mirada desde la historia
Authors:   Instituto de Investigaciones Bibliotecológicas y de la Información, Rodríguez Gallardo Adolfo
Published: August 2021

La alfabetización tiene relación con todas las esferas de la actividad humana, es fundamental para el desarrollo de los individuos y de las comunidades. La práctica de la lectura explica el lugar que la biblioteca tiene en la sociedad. El estudio histórico de la lectura en particular, y de la alfabetización en general, además de buscar establecer cómo ocurrieron sus prácticas y la ideología en que hallaron fundamento, facilitan la identificación de sus efectos en la vida social, económica y política de las comunidades. En este libro, el lector podrá conocer los usos de la lectura para discutir su efecto en la sociedad a lo largo de la historia universal. Aquí se describe la relación entre la habilidad de las personas para leer y el desarrollo de sus comunidades. El lector se introducirá junto al autor en la búsqueda de las implicaciones sociales de la lectura y sus manifestaciones
A Review on Design Basis for Constructed Wetlands for Wastewater Treatment
Authors: Jethwa Dr. Kruti B.
Published: August 2021

Since last few years Constructed Wetlands (CWs) are being used to treat secondary or tertiary municipal or domestic wastewater effluents have been recognized as an effective means of “green technology” for wastewater treatment. Constructed wetlands (CWs) provide a natural way for simple, inexpensive, and robust wastewater treatment. The idea of natural management systems is the restoration of disturbed ecosystems and their sustainability for remuneration to nature. The Constructed wetlands (CWs) are designed to copy natural wetland systems, utilizing wetland plants, soil and associated microorganisms using various biological, physicochemical processes to remove unwanted constituents from wastewater effluents. This review paper studies various types of constructed wetlands, i.e., surface or subsurface, vertical or horizontal flow and their type of operation, i.e., continuous, batch or intermittent flow, loading rate, selection of plants and wastewater characteristics that affect the treatment efficiency. The design models with their suitability for various parameters and operational conditions such as Darcy’s equation, Kadlec and Knight Model (K-C* model), Arrhenius equation, and population equivalent calculation have been discussed. Lastly, future research requirements have been considered.
Computational Fluid Dynamics Analysis of Wind Lens
Authors: Patil Ms. Sonali Mangesh
Published: August 2021

The wind-lens turbine consist of shrouded diffuser which increases the wind speed at rotor, developing electric power even in low speed wind. Energy crisis is one of the major problems facing the countries globally. One of the methods to overcome energy trouble is to use the energy available efficiently and also to reduce the energy that is being wasted. The fact that non-renewable sources of energy become cause of pollution and the increased ecological hazards and their rate of depletion has required to use of nonconventional and renewable sources. Therefore to adopt the methods of energy recovery is required. Energy recovery is a technique used to reduce the vitality input to an overall system by exchanging the energy from one system of an overall system to another. Wind lens turbine is the next generation small wind which can be installed anywhere. It has significant reduction in wind turbine noise, concentration of wind energy, compact and highly efficient, adaptable to the surroundings, highly safe systems and significant reduction in birds strike.
Crime Pattern Analysis, Visualization and Pridiction Using Data Mining
Authors: Srikanth H S Tanvi
Published: August 2021

Crime against women these days has become problem of every nation around the globe many countries are trying to curb this problem. Preventive are taken to reduce the increasing number of cases of crime against women. A huge amount of data set is generated every year on the basis of reporting of crime. This data can prove very useful in analyzing and predicting crime and help us prevent the crime to some extent. Crime analysis is an area of vital importance in police department. Study of crime data can help us analyze crime pattern, inter-related clues& important hidden relations between the crimes. That is why data mining can be great aid to analyze, visualize and predict crime using crime data set. Classification and correlation of data set makes it easy to understand similarities & dissimilarities amongst the data objects. We group data objects using clustering technique. Dataset is classified on the basis of some predefined condition. Here grouping is done according to various types of crimes against women taking place in different states and cities of India. Crime mapping will help the administration to plan strategies for prevention of crime, further using data mining technique data can be predicted and visualized in various form in order to provide better understanding of crime patterns.
Review Paper on E-Smart Watch for Early Detection of Covid-19
Authors: S P Puneeth
Published: August 2021

Smart watches have the potential to support health in everyday living by: enabling self-monitoring of personal activity; obtaining feedback based on activity measures; allowing for in-situ surveys to identify patterns of behavior; and supporting bi-directional communication with health care providers and family members. However, smart watches are an emerging technology and research with these devices is at a nascent stage. Seventy-three studies were returned in the search. Seventeen studies published were included. Included studies were published from 2014 to 2016, with the exception of one published in 2011. Most studies employed the use of consumer-grade smart watches (14/17, 82%). Patient-related studies focused on activity monitoring, heart rate monitoring, speech therapy adherence, diabetes self-management, and detection of seizures, tremors, scratching, eating, and medication-taking behaviors. Most patient-related studies enrolled participants with few exclusion criteria to validate smart watch function (10/17, 58%). Smart watch technical function, acceptability, and effectiveness in supporting health must be validated in larger field studies that enroll actual participants living with the conditions these devices target.
IoT Based Air Quality Monitoring System
Authors: D M Divya
Published: August 2021

In both created and non-industrial nations, proceeded with openness to helpless air quality is a significant general wellbeing hazard. Poisons that add to helpless air quality are thought to cause over 2.5 million unexpected losses every year all throughout the planet. To monitor things, In this undertaking, we will make an IOT-based Air Pollution Monitoring System in which we will display the quality of air in the mobile application utilizing a GSM and will set off a caution when the air quality drops under a particular range, for example when there is an enough measure of gases which are hurtful like CO2, smoke, liquor, benzene, and NH3 present noticeable all around. It will show the air quality in the proportion of PPM on the LCD and on the versatile application with the goal that we can without much of a stretch screen it. We can use our mobile app to display the contamination level in this IoT project.
Study and Analysis of Solar Cabinet Dryer on Passive Mode by Using Aluminium Foil, Solar Selective Black Carbon Material and Silica Sand (Concrete)
Authors: Kulshrestha Sachin
Published: August 2021

In this research work started to study of various article which is related to solar cabinet dryer. In many article do work repetition and some having different type of work analysis. There are work mostly to increase its efficiency, workability and moisture removal rate with changes in different parameters. Some of authors work passive mode solar cabinet dryer and some was work on active solar cabinet dryer. In this study observed that some of researcher use silica sand and metals particles. Every parameter have focused on different purpose of work. After the study of various articles analyze that use of mixture black carbon material and silica concrete as a storage material. That is important for increase moisture removal rate and drying rate. It will also enhance efficiency and workability of solar cabinet dryer. That will use in industry and winter oriented season in future aspects.
Student Campus Placement Prediction Analysis using ChiSquared Test on Machine Learning Algorithms
Authors: Subhash Ambika Rani
Published: August 2021

Every higher education institute aims to provide the best career opportunities for their students as part of the outcome based education system. In India, campus placements for students while pursuing their 4th year of engineering is a predominant factor since the reputation of any institute largely depends on reputed recruiting companies visiting campus and the number of placement offers being given to eligible students. Hence, campuses offer personality development training to their students just before the commencement of the placement season while students try to maintain a minimum CGPA which would ensure their eligibility to apply for companies of their choice. The purpose of this paper is to predict a student’s chances of obtaining a pre-placement offer while still in campus on the basis of various academic and non-academic factors. The dataset used for the prediction analysis consists of student related aspects such as their university seat numbers, academic grades and personality training parameters. The training models have been designed using the WEKA tool and in addition to supervised machine learning classification algorithms, Chi-squared tests has been implemented on the dataset to only obtain those attributes that might be the highest requirement for campus placements of students.
Data Extraction from Images through OCR
Authors: Tiwari Anurag
Published: August 2021

The paperwork used in maintaining various types of documents in our daily lives is tiresome and inefficient, it consumes a lot of time and it is difficult to maintain and remember the concerned documents. This project provides a solution to these problems by introducing Optical Character Recognition Technology (OCR) which runs on Tesseract OCR Engine. The project specifically aims at increasing data accessibility, usability and improving customer experience by decreasing the time spent to process, save, and maintain user data. Another objective of this project is to nullify the human error, which is huge in manual handling of data records, the software used in the solution uses certain techniques to minimize these errors. Optical Character Recognition (OCR) is used for extracting texts and characters from an image. This helps us in maintaining our records and data digitally and securely. In this project we are using the Tesseract OCR Engine which has high accuracy rates for clean images. We have implemented a web version of OCR which runs on TesseractJS; other JavaScript frameworks are also used. The outcome of the project is that it is able successfully to extract text and characters from the provided image using Tesseract OCR Engine. It is observed that for the high resolution images the accuracy is above 90%. This web based application is useful for small businesses as they don’t have to install any extra software, all it needs is a file to be uploaded on an online interface making them able to access remotely. It will also help students to save notes and documents online which will make their important documents easily accessible on the web. This whole process is time and memory efficient.
Self-Diagnosis with Advanced Hospital Management
Authors: V S Sheethal
Published: August 2021

In the case of an epidemic, it is impossible to consult a doctor about minor ailments. This program helps to get recommendations from doctors. So that people can be treated for minor ailments at home. The main purpose of self-examination in a high-quality hospital management system is to provide self-examination to patients, if hospitals are not available in nearby areas. This program will be developed using one of the heuristic search methods in artificial intelligence which means greedy local search. The program provides additional space, which means that the patient can communicate with the appropriate physician by chatting online. The patient can receive appropriate suggestions for his or her problem. In fact, in self-examination this app makes a report about the patient's health status. That report may include the patient's disease name, level of symptoms and strength and the recommendation provided by the program. This proposal can be in two ways. The first suggestion would be a suitable drug based on the level of Weight Loss; the second proposal would be a meeting of specialist doctors which means that his illness may be in serious condition. It offers suggestions on some of the preventable diseases that mean minor problems with some pills. This can be helpful for patients who are far away from the hospital and for doctors and for working with patients inside or outside the hospital. The administrator can update medications in the database regularly. We can create a suggestion box for patients to improve the app
Comparison of Static and Dynamic Analysis of Multi-Storied Building
Authors: Sabale Arati Avinash
Published: August 2021

Vibration of ground is the main cause of earthquake damage to building structures. There are many factors responsible for the strength of earthquake shaking at a site including the earthquake's magnitude, the site's proximity to the fault, the local geology, and the soil type. The natural disasters have been fast recurring all over the world causing great concern and damage to man and their properties. Among these disasters Earthquake is an endogenous natural disaster, which occurs suddenly without any warning. The vast devastation of engineering systems and facilities during the past earthquakes has exposed serious deficiencies in the prevalent design and construction. Shear wall is one of the most commonly used lateral load resisting in high rise buildings. Shear wall can be used to simultaneously resist large horizontal load and support gravity load. In the study, one tall RCC building of 13 stories is assumed to be situated in seismic zone V is analysed using two methods (Static and Dynamic Analysis). The share walls are taken at different position of building. The comparison of the different shear wall models is studied in this work against the different parameters like time period, bending moment, shear force, storey drift, displacement
Water Quality Models and their Use in Monitoring the Quality of Surface Water Bodies
Authors: Tripathi A. K.
Published: August 2021

Water quality has been considered as one of the major challenges in water resource management. The main reason of degradation of water quality over the years is anthropogenic activities. Also, the monitoring of surface water bodies is a tedious as well as expensive process. For the depiction of water quality in simple and easy to understand terminology Water Quality Index (WQI) is found to be one of the widely used tool. It provides a transparent picture of the status of the pollution of a water body that is why it has been widely accepted by policy makers as well as other concerned authorities. Many WQI models have been developed throughout the world, using various water quality parameters, different techniques to generate subindices and also involving various mathematical techniques for aggregation of subindices. This paper deals with the comparison of various water quality models-based om number of parameters used, methods to generate subindices, aggregation techniques as well as their application and uses.
A Study on IFM/IFG/1 Vacation Queueing System with Breakdown, Repair and Server Timeout in (Triangular, Trapezoidal & Pentagon) Intuitionistic Fuzzy Set using α-Cuts
Authors: Saritha Y.
Published: August 2021

In this, we studied and investigated IFM/IFG/1 vacation queueing system/waiting line with server breakdowns, repair and server timeout, “by using (Triangular Trapezoidal and Pentagonal) IF (Intuitionistic Fuzzy) numbers with the application of IFS (Intuitionistic fuzzy set). Here we operate single server vacation queueing system in the following manner; when the system finds empty, the server waits for fixed time ’c’ known as server timeout. At the expiration of this time, if no one arrives into the system, then server takes the vacation. If anyone arrived in the system during the timeout period as well as in vacation the server commences the service otherwise, he will go for another vacation. If the system had occurred with a breakdown, just after a break down the server undergoes for repair. After the repaired process is completed the server restarts the service to the arrived customer. By the approach of IFS properties, we develop the membership function of the system performance are of fuzzy nature. Based on IFS α-cut approach the Intuitionistic fuzzy queues are reduced to a family of ICS (Intuitionistic Crisp Set). The numerical results are illustrated to the model.
To Compare the Effects of UST and TENS with PNF Stretching To Increase the Mobility and Reduce Pain in OA - A Randomised Control Trial
Authors: Agarwal Dr Nidhi
Published: August 2021

Abstract: Osteoarthritis is a chronic disorder which is degenerative in nature having a multifactorial etiology characterized by subchondral sclerosis, loss of the articular cartilage, hypertrophy of the marginal bone along with morphological and biochemical changes in the joint capsules and synovium. Knee osteoarthritis is the most common form of osteoarthritis. Knee OA is characterized by quadriceps muscle weakness, hamstring weakness, possible joint stiffness, effusion, loss of proprioception loss of range of motion and knee pain. Transcutaneous electrical nerve stimulation is the most widely used physical modalities for the management osteoarthritis knee. The benefits of TENS for relive chronic pain are well documented. The UST for the treatment of OA will lead to improvement of life by decreasing the swelling and reducing the pain at the knee joint. PNF relieves pain improves the ROM, restores proprioception as confirmed by clinical research. The aim of study to find out the effect of UST and TENS with PNF stretching to increase the mobility and reduce pain in OA Patients. Study duration is 6-week, source of data is Goldi masala factory, Kanpur. Sample size is 60 and method of data collection is random. Subjects were divided into two equal group, for group A we give PNF with ultrasound and for group B we give PNF with TENS for six consecutive weeks. After analysis of collected data result was null hypothesis is rejected and alternate hypothesis is accepted. In this way both technique is statistically significant. So, we concluded that both the technique i.e., PNF with UST and PNF with TENS is effective in treating the osteoarthritis patient with relieving pain and increasing range of motion. But statistically PNF with TENS is more significant over PNF with UST. Keywords: Osteoarthritis, proprioceptive neuromuscular facilitation, ultrasound therapy, transcutaneous electrical nerve stimulator, pain, range of motion, VAS scale, goniometer.
Komodifikasi Nilai – Nilai Islam pada Logo Halal Mcdonald's
Authors: Mustiawan  , Febrianita Roziana
Published: August 2021

Perkembangan bisnis McDonald's di Indonesia menarik banyak perhatian publik, karena berbagai laporan kontroversi yang melekat mulai dari produk-produk Junk Food hingga masalah Zionis. Namun demikian, fenomena itu tidak juga merusak McDonald's di pasar Muslim Indonesia. Komodifikasi nilai-nilai Islam melalui logo halal dilakukan untuk merebut pasar Muslim demi keuntungan. Komodifikasi adalah perubahan nilai pakai menjadi nilai tukar. Penelitian ini bertujuan untuk membongkar dan menganalisis nilai-nilai Islam pada logo halal McDonald's. Penelitian ini adalah jenis penelitian kualitatif paradigmatik kualitatif dengan metode studi kasus. Penelitian ini dilakukan pada konsumen Muslim McDonald's. Hasil penelitian ini menunjukkan bahwa logo halal telah berhasil mengubah nilai pakai menjadi nilai tukar yang mencari perdagangan yang diperdagangkan. Logo Halal adalah objek wisata yang digunakan untuk menarik konsumen Muslim. Melalui logo halal, konsumen Muslim tanpa disadari telah terseret ke praktik kapitalistik.