bluuebunny/crossref_metadata_2025 huggingface dataset:
Stock Price Prediction System
Authors: Prof. Sulochana Sonkamble  , Vaibhav Vyas  , Prathamesh Shimpi  , Aniket Mule  , Mihir Sonawane
Published: May 2023

To determine the future stock value of a company is the main purpose of stock price prediction there is a continuous change in the price of stocks which is affected by different industries and market conditions. The high dimensionality of data is a challenge for machine learning models because highly correlated dimensions/attributes may exert influence on precision of the model. PCA is used to reduce dimensionality to fit linear regression algorithm for future stock price prediction. Linear regression algorithm is used prior to and subsequent to implementation of Principal Component Analysis on the Tesla stock price data. Results manifest that production of machine learning models can be boosted by PCA, reducing the correlation and appropriate selection of principal components for high redundancy of data. Root mean square value and R-square value is used for assessment. Keywords: Principal component analysis, Linear regression, Root mean square error, r square value.
Blockchain Solution for Public Distribution System
Authors: Prof. Pravin Jangid  , Varsha Jain  , Darshana Mule  , Shipra Poojary  , Ratnesh Sahani
Published: May 2023

The Public Distribution System (PDS) in India is essential to supply food grains produced by farmers to the people who are below poverty line. It is a system for distribution of food grains at affordable prices. However, the current PDS system is plagued by various issues, delayed payments and mismanagement of stock being the primary one. This work aims to use blockchain technology, one of the cutting edge technologies, to overcome these issues and make the PDS a digital, secure, transparent and scalable system. Blockchain provides transparency such that the user can track food grains and all the key data would be recorded throughout the supply chain. The system requires minimal human intervention. To facilitate payments to the farmers and millers business logic through smart contract is implemented. The proposed PDS blockchain system was implemented in public blockchain and was tested for different use cases.
Network Safety : A Research for Society
Authors: Soumen Chakraborty
Published: May 2023

Network protection is the movement of safeguarding data and data frameworks (organizations, PCs, information bases, server farms and applications) with fitting procedural and mechanical safety efforts. Firewalls, antivirus programming, and other mechanical answers for protecting individual information and PC networks are fundamental however not adequate to guarantee security. As our country quickly constructing its Digital Framework, we should teach our populace to work appropriately with this foundation. Digital Morals, Digital Wellbeing, and Network protection issues should be coordinated in the instructive cycle starting at an early age. Security counter estimates assist with guaranteeing the privacy, accessibility, and respectability of data frameworks by forestalling or moderating resource misfortunes from Network safety assaults. As of late network safety has arisen as a laid out discipline for PC frameworks andinfrastructures with an emphasis on security of important data put away on those frameworks fromadversaries who need to get, bad, harm, obliterate or disallow admittance to it. An Interruption Discovery Framework (IDS) is a program that examinations what occurs or has occurred during an execution and attempts to find signs that the PC has been abused. A large number of illustrations was thought of, including those connecting with: military and different kinds of contention, organic, medical services, markets, three-layered space, and actual resource security. These thusly prompted thought of various potential methodologies for improving network protection later on. These methodologies were marked "Heterogeneity" ,"Rousing Secure Way of behaving" and "Digital Wellbeing" .
Network protection assumes a significant part in the improvement of data innovation as well as Internet providers. Our consideration is generally drawn on "Network protection" when we catch wind of "Digital Violations". Our most memorable idea on "Public Network protection" subsequently begins on how great is our foundation for dealing with "Digital Wrongdoings". This paper center around digital protection arising patterns while taking on new advancements, for example, portable registering, distributed computing, web based business, and informal communication. The paper additionally portrays the difficulties because of absence of coordination between Security organizations and the Basic IT Framework.
Mastering the Art of Video Conferencing : Remote Learning and Virtual Conferences
Authors: Ram Lakhan  , Kuldeep Singh Verma
Published: May 2023

Video conferencing (VC) has gained popularity as a tool to bridge the gap of distance when travel is not feasible or desired. In this paper, we introduce video conferencing with a focus on its application in Remote Learning and Virtual Conferences. We discuss the components of video conferencing, including hardware, the network, and the conference environment. We also highlight the benefits of video conferencing in Remote Learning and Virtual Conferences, such as increased interactivity and real-time communication. Additionally, we discuss the challenges and limitations of video conferencing in Remote Learning and Virtual Conferences, including technical issues and cost considerations. Finally, we provide recommendations for educators and institutions interested in implementing video conferencing in their Remote Learning and Virtual Conferences programs.
Confianza: E-commerce Blockchain Website
ebsite
Authors: Aditi Patil  , Dhruv Dave  , Rishika Pawar  , Jash Desai  , Shweta Sharma
Published: May 2023

Blockchain in an enterprise is a growing trend in the tech industry. Blockchain is an era that is used to transfer and keep information in a green and secure manner. It is used to create and confirm transactions on a distributed ledger. Many demanding situations are confronted by using e-commerce websites, including information breaches, fake reviews, spyware, and many others. For that reason, blockchain is applied to securely keep and affirm data. Through this, proper statistics are attained. Deciding on the appropriate blockchain that is on hand, adaptable, and within your means is pivotal in growing any commercial enterprise model. With the use of an e-commerce website based totally on blockchain technology, the organization will use the generator to create a new way of selling items and services in the future. The term era can also be used to describe the improvement of recent services and products. Therefore, it is a powerful and consumer-pleasing tool.
Detectrozen ( Disease Detection )
Authors: Vedant Jadhav  , Neeraj Chettiar  , Saheel Chavan  , Smit Mhatre  , Bhavna Arora
Published: May 2023

With broad data development in biomedical and healthcare sectors, detailed analyzes of medical data support early detection of illness, patient care and community services. However, the quality of the study is lowered when the content of the medical data is incomplete. Also, various regions exhibit unique features of certain regional diseases. This can hinder disease outbreak forecasting. In this project, we streamline deep learning algorithms to effectively predict chronic disease outbreaks in populations with recurrent diseases. The diagnosis of diseases is a critical and central aspect of medicinal science. Doctors breakdown side effects in the human body more often than not to foresee diseases. In recent times, numerous research strategies have been used with a specific goal to make it more accurate. This system will help to predict the medical results efficiently. In this system, we will provide a user-friendly interface that can be used by the users to detect whether their medical test results are positive or normal, i.e. it will detect the disease.
There is a great growing interest in the domain of deep learning techniques for identifying and classifying images with various dataset. This deep learning project is based on a user interface and its application of the Detrozen real life. It will also describe how the system will perform and under what it must operate. In this document, the user interface will also be shown. Both the stakeholders(users) and the developers of the interface can benefit from this approach.
Dog Breed Prediction Using Deep Learning and E-commerce
Authors: Abhinav Rajhans  , Rajan Gupta  , Satyam Dubey  , Piyush Dave  , Prof. Aabha Patil
Published: May 2023

This project uses computer vision and machine learning techniques to predict dog breeds from photographs and provides a trustworthy and efficient e-commerce platform for dogs. With the help of various machine learning models such as convolutional neural networks, our model gives the correct breed 90% of the time. Apart from that, our web application also provides an e-commerce platform for buying of dogs.
Geographical Perspective of Geomorphological Hazards in Kohima District of Nagaland
Authors: Khrieketouno Belho  , M. S. Rawat
Published: May 2023

Kohima, located in northeastern India, is a geologically unstable area with incessant rainfall during pre-monsoon and inter-monsoon periods, making it very prone to geomorphological hazards such as landslides and flash floods. Every year, the region is faced with massive inconvenience due to the high intensity of rainfall, which contributes to the displacement of the already unstable lithology of the district and thus leads to the blockade of roads, damages to houses and properties, loss of vegetative cover, and blocking of rivers and streams by falling debris due to landslides along the rivers. In addition to the natural factors of lithology and climate, the most encroaching anthropogenic activity of road construction has further intensified the situation due to more felling of trees, removal of earth materials and dumping of the removed earth materials on the land itself, resulting in added pressure and thus sinking of land persists.
Parameter Estimation of Multiple Linier Regression by Comparing Bootstrap and Jackknife Methods
Authors: Mika Alvionita S
Published: May 2023

This research applies parameter estimation of multiple regression analysis using bootstrap and jackknife resampling methods. bootstrap resampling method is a resampling procedure that draws samples repeatedly randomly with returns. While the jackknife resampling method is a resampling procedure by performing calculations that remove one or more observations from the specified sample. Based on the data in this study, the bootstrap resampling method is better than the jackknife resampling method. This can be seen from the small bias and standard error values in the bootstrap resampling method compared to the jackknife resampling method. Similarly, the bootstrap resampling method's confidence interval is narrower than the jackknife resampling method. In addition, the parameter estimation coefficients between the least squares method and the bootstrap resampling method are almost similar. This shows that the bootstrap resampling method is better than the jackknife resampling method in this study.
Cafeteria Food Ordering System using QR Code
Authors: Archana Nikose  , Aayush Hatwar  , Akshata Nikose  , Dhananjay Adikane  , Khushi Gaharwar
Published: May 2023

Cafeteria Food Ordering System Using QR Code Technology is a real time ordering system to manage the order process for cafeteria. This system helps customer to order without having to wait for the waiters to serve them. The cafeteria system is currently using traditional way which is took order system by using paper, cause the order missing and not manage properly to record the orders of customer. The current hand written ordering system brings inconvenience to both staffs and customer as it requires a lot of manual work and time. They don’t have a proper ordering system to support and make the ordering process smoothly in the cafeteria. Nowadays, smartphone and tablet have widely used in our day to day life. By having this cafeteria food ordering system using QR Code, the time of placing order has reduced. Our proposed system is Cafeteria Food Ordering using QR Code that enables ease for the customers. Actually ordering is generating the QR code to increase the cafeteria productivity, whereas the tablet is used to scan the code and the order is send to the kitchen. By using this system, customer just captures QR Code on the table in each table cafeteria for ordering food. After placing an order, the admin can accept the order and it will be send through to the kitchen. People can easily scan the QR code by their smartphone which is on the cafeteria table. This new ways of ordering will ultimately save time for the waiter to take up orders and this system improves the method of taking the order from customer. In addition, owner cafeteria can add or manage their food menus and can saw the status updated from staff has delivery the order's to the customer.
Buffer Overflow Detection and Avoidance Technique
Authors: P. B. Niranjane
Published: May 2023

Today's world totally work through important asset i.e. information and there should protective shield to protect such asset with good performance. Therefore Security issue is the important and elicited topic among IT professionals. The Buffer Overflow which is one of the most frequently occurring security vulnerabilities on network. Buffer Overflow occurs while writing data to a buffer and it overruns the buffer's threshold and overwrites it to neighboring memory. This paper focused on finding and detection of buffer overflow occurs during transmission of jpg and gif file format over network. The signature and signature free detection mechanism is implemented for detection of buffer overflow during transmission. First the signature based detection finds a particular signature after the signature free technology is implanted for testing the buffer overflow. The discussion is concluded with some thoughts on buffer overflow detection in general, and directions for the analysis and remediation of buffer over?ow detection for gif and jpg file format.
Scenerio-Based Image Generation Using Deep Learning
Authors: Dr. P. Shanthakuma1  , Kishor Kumar  , Sharath2
Published: May 2023

Regardless of the contents of the image, this model can determine its scenario. It works with open CV, Natural Language Processing, and websites. This system does a dictionary search on the image and displays the required results. Any type of image that the user possesses can be given the appropriate context. The computer's eyesight has made incredible strides in recent years. Using the latest technology, object detection is now simple and produces precise results. On the basis of the photograph, the goal is to create an exact situation. User-provided photographs may be utilised in a variety of online educational technology platforms to visualise and learn as well as for image searches. Resnet-50 algorithm is used and ResNet-50 is a convolution neural network that is 50 layers deep. You can load a pretrained version of the neural network trained on more than a million images from the ImageNet database we first encrypt the picture and the words that are kept in the scenario dictionary before the user searches using the image that he has. It will match the user-provided picture and the scenario dictionary after being encoded. After completing this procedure, it will discover the precise situation depicted in the image.
Icensor : Unwanted Image Detection and Censoring
Authors: Dr. Manju Bargavi  , Sakshi Dhruva  , Tenzin Kunsang  , S Subham Patra  , Tenzin Nyima
Published: May 2023

The globe today, practically everyone uses the internet, which is filled with a vast amount of information and content, the majority of which includes pornographic and violent photos and movies. Social media has grown in importance in today's society as a result of the expansion of the internet. This has increased the risk of privacy invasion, which includes the release of private photos that should not be shared because they violate the privacy of some people. Today, even a young child can easily access these materials. Recent image leaks from prominent social media applications and the use of private photos by clever algorithms have caused the public to re-evaluate the need for individual privacy when uploading images on social media. The process of sharing photos on social networking sites is complex in and of itself, and the measures in place to safeguard privacy in daily life are labor-intensive and fall short of providing tailored, precise, and adaptable privacy protection. We have found that techniques like "privacy intelligence" solutions, which concentrate on current privacy issues related to online social networking image sharing, are effective. An optical character recognition-based system that filters photographs with sensitive text, in addition, a visual algorithm that filters out pictures that aesthetically resemble those on an image blacklist is used. These measures can help stop the spread of any delicate content on social media.
Track A Missing Child Using Local Binary Pattern Histogram Based Face Recognition Method
Authors: Dr. Sandip S. Patil  , Neha Manoj Baviskar  , Lubdha Shaligram Borole  , Mohit Pramod Gaikwad  , Sejal Sanjay Gujarathi
Published: May 2023

In our society, a countless number of children are missing every-day. Even though missing cases are getting filed against them in nearby police stations but it is complicated to trace them through investigation as it requires lot of efforts and it is time consuming also it becomes quite challenging for police to find them and it’s really getting impossible to find them in most cases. So to make it convenient we planned to design a website for “Tracking the missing child using Face Recognition ”, which makes the task quite simpler. The main intention of this project is to reunite the missing children with their parents, so we are going to design a web page where one can be able to upload the missing child details and store it in database. If the child who is missing is identified on road by any random person, then he/she will upload the photo of that child on web page then our system can be able to detect that lost child using face recognition algorithms. Whenever the system confirms the matching then it will set up custom alerts along with location and send them directly to family members and concerned investigation officers . And if the match is not found , then the person will be provided with the option of registering child photo as a new entry to our database with the location they found. So, in this way we can find the lost children in more easy and convenient way. In this model, an automated facial recognition system for Missing Child database was proposed using known Haar feature-based cascade classifier. This system will be able to detect face and recognize face automatically in real time. In our model we are going to use Face Recognition module of python.
СТАН ДОСЛІДЖЕННЯ ПРОБЛЕМИ ДЕРЖАВНОГО РЕГУЛЮВАННЯ ТРУДОВИХ РЕСУРСІВ УКРАЇНИ
Authors: БОНДАРЕНКО Сніжана
Published: May 2023

Стаття присвячена вивченню стану наукової розробки питання можливості застосування елементів державного регулювання для управління трудовими ресурсами в Україні. У роботі проведено дослідження концептуальних засад сучасної економічної науки та витоків формування самої ідеї держрегулювання. Також проведено аналіз за тематикою регіональної політики та реалізації реформи децентралізації, щоб отримати уявлення про стан наукової розвідки питання повноважень органів місцевого самоврядування щодо регулювання трудових ресурсів регіону. Додатково було розглянуто наукові праці присвячені вивченню питання взаємодії влади та бізнесу З’ясовано, що виникнення ідеї державного регулювання економічних процесів стало логічним результатом тривалої трансформації економік розвинутих країн та розвитку економічної науки. Однак у кожній країні способи та формати реалізації засад держрегулювання як і саме розуміння цих ідей різняться. Низкою науковців обґрунтовано доцільність та навіть необхідність застосування механізмів державного регулювання для вирішення питання зайнятості та ефективного використання трудових ресурсів. Однак ґрунтовні дослідження щодо можливостей застосування державного регулювання на регіональному рівні для ефективного управління трудовими ресурсами, зокрема, в новостворених громадах із залученням до цього процесу самих органів місцевого самоврядування, місцевого бізнесу, громади та науки як суб’єктів формування регіонального ринку праці відсутні. До цього часу не приділялася увага можливості застосування окремих механізмів державного регулювання для ефективного управління трудовими ресурсами громад та планування їх розвитку. Перспективним напрямом для подальшої роботи є вивчення питання застосування державного регулювання трудових ресурсів України у становищі ускладненої війною економічної ситуації та «кадрового голоду» на територіях, який буде тільки зростати. Окремо варто зауважити, що досі відсутня дієва комплексна система ефективного державного регулювання трудових ресурсів на рівні регіону, що теж є перспективою для майбутніх досліджень.
Doa Al-Maâ€™tsurat Untuk Mencegah Covid-19 dengan Program Tatap Muka Belajar Terbatas di Pesantren Luâ€™lu Al-Islamy Bogor
Authors: Munawiroh M , Dudin Achmad
Published: May 2023

This study aims to obtain information about the power of al-ma'tsurat prayer in preventing Covid-19, the reasons for not sending students home, the implementation of limited face-to-face learning programs, and the constraints surrounding limited face-to-face learning in Islamic boarding schools during the Covid-19 pandemic. This type of research is field research using a qualitative descriptive research design. The object of this research is the Lu'lu Al-Islamy Bogor Islamic boarding school. Research data obtained through observation, interviews, and documentation techniques. While the data were analyzed using an interactive data analysis model which was carried out descriptively. Based on the results of the research, it shows that Islamic boarding schools want all Islamic boarding school residents to practice the al-ma'tsurat prayer to prevent Covid-19 with the fact that thank God during the pandemic none of them were exposed to Covid 19. The reason for Islamic boarding schools not repatriating students during the pandemic, is because Islamic boarding schools are the most safe for students from the spread of covid 19. Islamic boarding schools run limited face-to-face learning programs so that the continuity of learning for students during the pandemic, by strictly regulating group activities. The obstacles to Islamic boarding school education during the Covid-19 pandemic lie in limited classrooms, resources and socio-cultural challenges.
Implementasi Integrasi Keilmuan di UIN Salatiga
Authors: Hanun Farida
Published: May 2023

This study aims to determine the implementation of the concept of scientific integration at UIN Salatiga. The research was conducted with a qualitative method. Collecting research data through interviews and documentation studies. The research informants were the Chancellor, Deputy Chancellor I for Academic and Cooperation Affairs, Dean of the Tarbiyah Faculty, Quality Assurance Institute, Lecturers and Students.Â  The results of the study show: (a) The Circle of Wasathiyah Knowledge's concept of scientific integration is published in the form of academic manuscript documents, (b)The strategy for implementing scientific integration at UIN Salatiga is through: learning, research and community service, (c) The curriculum at the study program level does not have specific subjects related to scientific integration, but is directly implicitly included in the implementation of learning in the classroom, and scientific integration can be seen in the lesson plans for their subjects, (d) Supporting factors: Lecturer human resources and adequate infrastructure, the concept of scientific integration is developing and the availability of science-based study programs. While the inhibiting factors: not all lecturers have sufficient insight into Scientific Integration, the backgrounds of students are diverse, there are no guidelines for implementing scientific integration at UIN Salatiga.
Team Masculinity and Performance: Evidence from Major League Soccer
Authors: Kirpishchikov Dmitry , Parshakov Petr , Zavertiaeva Marina
Published: May 2023

Abstract: Previous papers provide evidence that psychological characteristics such as personal masculinity are related to performance. Although relationships have been well established on an individual level, there has been little attempt to analyze the performance of teams that diverge in terms of masculinity. This paper studies the impact of team masculinity on its performance, paying particular attention to the connection between masculinity and cooperative behavior within a team. We use data on Major League Soccer teams because sports competitions represent a good ground for demonstrating masculinity and provide open data. Our results suggest a positive connection between the group’s average masculinity and its performance. We test whether this fact can be explained by increased in-group cooperation, first revealed in Stirrat and Perrett’s experimental study (2012) but do not find any relationship. As for the team’s diversity in masculinity, we do not find any impact on team performance.
Videos, pósters, dibujos y periódico mural
Authors: Flores Jocelyn , Cabrera Laura , Cruz Iris , Reeder Brady , Román-Díaz Jonathan , Corbin Kathy , Martínez Maribel , García Karla , Melendez Karen , Rivera Francisco , Sulema Melgar
Published: May 2023

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Climate Spectrophotometric Assessment and Health Risks Scrutiny of Nitrate and Cadmium Ions Accumulation in Water Physiques in Southern, Rainforest Belt of Edo State, Nigeria
Authors: Ufuah Emmanuel , Ehizemhen Igibah Christopher , Omolayo Agashua, et. al. Lucia
Published: May 2023

Anthropogenic and industrial activities triggering an alteration on the natural cadmium and nitrogen cycle are deliberated on as one among the most vital environmental concerns. Water quality index (WQI) and skewness, nitrate was 8.37 ± 1.014 in dry season and 3087.87 ± 1.150 for wet season, but cadmium was 0 ± 1.559 in wet season and zero all through the sunny period. Equating results with World Health Organization (WHO) permissible limits, it discovered that nitrate was low throughout both seasons whereas cadmium was 90% above permissible during rainy season, but 100% within limit throughout arid season. The water- physiques in all sites at Ikpoba River in both seasons revealed low disparities (< 20%) with positive linear relationship (R 0.922 ≥ 0.211) for nitrate and (R 0 ≤ 089) for cadmium in dry and wet seasons respectively. What’s more, site 1 in the wet season, and all sites in dry season, exhibited no significant dissimilarities (p >0.05) between them, but others indicated significant dissimilarity (p <0.05) for cadmium and nitrate concentrations. In respect to seasonality, all water-physiques scrutinized revealed significant dissimilarities (p <0.05) for both seasons (nitrate and phosphate) concentration. The cadmium-nitrate ratio was very high particularly in the humid season because of the high input of nitrate. The nutrient contagion index displayed slightly to significantly contagion, whereas the water physiques will pose very high non-carcinogenic health risks and threats to users through the oral pathway.
Kidnapping for Ransom: Nigeria’s Flourishing Industry, but Worst Nightmare
Authors: Archibong James E.
Published: May 2023

Kidnapping for ransom is a worldwide phenomenon and Nigeria is not an exception. The problem, now endemic, is a phenomenal substitute for robbery, and one of Nigeria’s biggest challenges. Nigeria today tops the global scale of kidnapping for ransom cases, with 2,371 incidents recorded in the initial six months of 2021. The victims include foreign workers, school children, traditional rulers, clergymen, politicians, and ordinary Nigerians. Apart from the physical, psychological and hysterical impact on victims, it has adversely impacted the economy. The paper examines factors behind the upsurge and the government’s inability to arrest the drift. It has been established that crime is fuelled by a plethora of economic, social, political, and security-related factors, principally unemployment, poverty, and the availability of small arms. Given the current spate of kidnapping and the helplessness of the government, Nigeria is at a crossroads, facing a monster that can consume it anytime. It is recommended that the government should adopt policies to end official corruption, alleviate poverty and fight unemployment. It should also create a responsible and well-motivated security apparatus to tackle kidnapping, in addition to stiff punishment to serve as deterrence.
"It's a hearing world" : parents' perspectives of the social and emotional well-being of children who are deaf and hard of hearing
Authors: Cagulada Elaine (Queenie)
Published: May 2023

Children with disabilities are known to experience bullying. This study explores parents’  perspectives of the social and emotional well-being of children who are Deaf and Hard of  Hearing (DHH). A combination of social theories guided this research — the social  model of disability, the ‘looking glass self’ theory, and the concept of bi-directionality.  Qualitative semi-structured interviews were conducted with 10 hearing, English-speaking  parents of children with hearing loss. All parents voiced instances, based on their  observations, where their children have had negative social experiences. Specific analyses  of these experiences provided evidence of parental and child activities where threats of  rejection and exclusion were minimized. As a result of previous experiences, children  showed adaptive responses in order to avoid social situations that threaten their social and  emotional well-being. Future implications for this research suggest that we prioritize the  social and emotional well-being of children with disabilities, perhaps starting by creating  conditions wherein these children are able to build friendships.  

Keywords: parents, children, Deaf, Hard of Hearing, well-being, friendship
The Faces Behind the Scenes: Demographics and Attitudes of News Decision-Makers in Canada
Authors: Barber Marsha , Rauhala Ann
Published: May 2023

The first survey of journalistic decision-makers in Canadian broadcasting reveals that they do not reflect the demographics of the multicultural communities they serve, although they share key attitudes.

 
“We’re a mess, there’s corona here!” Children’s perspectives on the COVID-19 pandemic
Authors: Grossi Maxime A.
Published: May 2023

The COVID-19 pandemic has disrupted the lives of children and has presented multiple challenges. As children’s rights are often overlooked during a public health crisis, including children in the discussion of planning and decision-making is necessary. A qualitative, exploratory study was conducted that examined children’s experiences during the COVID-19 pandemic from a children’s rights perspective. With an emphasis on the right to play, the right to education, and the right to an adequate standard of living, the study also explored how additional rights were influenced. Virtual interviews were conducted with 20 children between the ages of 7-12 years. Following a thematic analysis, the findings suggested children had limitations on their opportunities to play, learn, and interact with others, which impeded on their rights. However, children were resilient and able to adapt to the new way of living and were eager to be active participants in stopping the spread of the virus. Keywords: children’s rights, COVID-19, pandemic, public health
Effect Of Hydrothermal Pre-Treatment On Methane Production During Anaerobic Digestion Of Thickened Waste Activated Sludge
Authors: Khan Suleman
Published: May 2023

The effects of hydrothermal pre-treatment on the production of methane and biogas on thickened waste activated sludge was investigated. This paper reviews the anaerobic digestion process and its complexities, provides an overview of the different stages of the anaerobic digestion process, different kinds of feedstocks and the essential and influential operating parameters such as temperature, pH, organic loading rate, solid retention time and particle size.

This paper also demonstrates an overview of the natural and anthropogenic sources contributing to methane in the atmosphere. It further provides a recommendation on essential practices and methods required to enhance methane capture in the atmosphere.

Furthermore, an experimental setup consisting of batch anaerobic digestion was employed for the sample analysis the purpose of this experimental research was to conduct a comprehensive assessment of the effect of the hydrothermal pre-treatment on thickened waste activated sludge and to determine the most optimum conditions to produce methane.

Keywords: Anaerobic digestion, Thickened waste-activated sludge, Hydrothermal Pre-treatment
Acoustic Characteristics of Microbubbles: Effect of Acoustic Pressure and Pulse Duration
Authors: Subedi Laxman
Published: May 2023

The acoustic mechanism of ultrasound- Microbubble (MB) mediated sonoporation enhanced permeability of cell membranes has been associated with inertial and stable cavitations. The main objective of this study was to characterise acoustic behaviour of MB, under varying acoustic pressure and pulse duration using passive cavitation detection(PCD) technique. MBs were exposed to 1 MHz ultrasound pulse at varying acoustic pressure (0-1.5 MPa), pulse duration (5-30μs) at pulse repetition frequency of 1 KHz for insonation time of 1 second. The cavitation phenomena of MBs were detected passively using two transducers at center frequencies of 0.5 and 2.25 MHz. The MB acoustic response was characterised using FFT algorithm and cavitation dose method. Results indicated that the nonlinear oscillation of MBs increased with PNP and pulse duration. The integrated cavitation dose (ICD) increased with acoustic pressure and decreased with pulse duration. Definity MB showed greater ICD than Artenga MB.
The complex socio-ecological landscape in Latin America: Transdisciplinary knowledge production to address diversity
Authors: Mons Steven , León Rodríguez Nohra
Published: May 2023

We start this article by seeking analogies between the cultural landscape and socio-ecological system concepts. Whereas the former has played a pivotal role in geographical research since its introduction in the nineteenth century, the latter has only recently become popular in inter- and transdisciplinary science. The results of this theoretical and conceptual endeavour are used to build a distinctive analytical category: the ‘complex socio-ecological landscape’. We then apply this novel concept to the Coffee Cultural Landscape of Colombia, declared a UNESCO World Heritage Site in 2011. In doing so, we demonstrate that this landscape in fact exhibits complex adaptive behaviour. We end the article with an analysis of the Cañamomo-Lomaprieta indigenous reservation in the north of the Coffee Cultural Landscape. Participatory mechanisms of transdisciplinary knowledge production have stimulated the emergence of an ancestral governance system in Cañamomo-Lomaprieta, which has reduced the vulnerability of its socio-ecological systems to the effects of small-scale gold mining activities. This case provides important insights into how to stimulate transdisciplinarity in other complex socio-ecological landscapes in Latin America that bear the brunt of extractive activities. Resumen: ‘Paisaje socioecológico complejo’ en Latinoamérica: Conocimiento transdisciplinario para tratar la diversidad Comenzamos este artículo buscando analogías entre los conceptos de paisaje cultural y sistema socioecológico. Mientras que el primero ha desempeñado un papel fundamental en la investigación geográfica desde su introducción en el siglo XIX, el segundo se ha hecho popular solo recientemente en la ciencia inter y transdisciplinaria. Los resultados de este esfuerzo teórico y conceptual se utilizan para construir una categoría analítica distintiva: el ‘paisaje socioecológico complejo’. Luego aplicamos este novedoso concepto al Paisaje Cultural Cafetero de Colombia, declarado Patrimonio de la Humanidad por la UNESCO en 2011. Mostramos que este paisaje efectivamente exhibe un comportamiento adaptativo complejo. Finalizamos el artículo con un análisis del resguardo indígena Cañamomo-Lomaprieta en el norte de este paisaje. Mecanismos participativos de producción de conocimiento transdisciplinario han estimulado el surgimiento de un sistema de gobernanza ancestral en Cañamomo-Lomaprieta, lo que ha reducido la vulnerabilidad de sus sistemas socioecológicos ante los efectos de las actividades de minería aurífera a pequeña escala. Este caso permite comprender cómo se puede estimular la transdisciplinariedad en otros paisajes socioecológicos complejos en América Latina afectados por actividades extractivas.
Review of Right now I want to scream: Police and army killings in Rio – The Brazil-Haiti connection
Authors: Kemer Thaíse
Published: May 2023

Right now I want to scream: Police and army killings in Rio – The Brazil-Haiti connection, directed by Cahal McLaughin and Siobhán Wills. Brazil, 2020
Transitions to captured democracy: The 1998 Costa Rican election as a critical juncture
Authors: Lioy Alberto
Published: May 2023

While Costa Rica has retained democratic stability, it has transitioned from high-turnout bipartidism to lower participation within a multi-party system. This paper analyzes the transformative 1994-1998 legislature, its antecedents, and its consequences. It, therefore, explores a political watershed where electoral participation falls dramatically under a stable party system with no authoritarian transition, labelled here as captured democracy. Methodologically, this work performed qualitative coding of media sources to trace how focusing events changed the national political context. Finally, it shows how the simultaneous weakening of the main parties Unidad and Liberación, a bipartisan pact, and several corruption scandals transformed Costa Rican democracy. 
Resumen:                Transiciones a una democracia cautiva: Las elecciones en Costa Rica de 1998 como coyuntura crítica
Aunque Costa Rica ha conservado la estabilidad democrática, ha pasado de un bipartidismo de alta participación a una participación menor dentro de un sistema multipartidista. Este artículo analiza la transformadora legislatura de 1994-1998, sus antecedentes y sus consecuencias. Explora, por tanto, una línea divisoria de aguas políticas en la que la participación electoral cayó drásticamente bajo un sistema de partidos estable y sin transición autoritaria, etiquetado aquí como democracia cautiva. Metodológicamente, este trabajo realiza una codificación cualitativa de las fuentes de los medios de comunicación para rastrear cómo centrándose en los acontecimientos cambia el contexto político nacional. Finalmente, se muestra cómo el debilitamiento simultáneo de los principales partidos Unidad y Liberación, un pacto bipartidista y varios escándalos de corrupción transformaron la democracia costarricense.
Review of Neoliberal resilience. Lessons in democracy and development from Latin America and Eastern Europe
Authors: Meyer Jan Niklas
Published: May 2023

Neoliberal resilience. Lessons in democracy and development from Latin America and Eastern Europe, by Aldo Madariaga, Princeton University Press, 2020
Review of Élites, radicalismo y democracia: Un estudio comparado sobre América Latina
Authors: Chavarría-Mora Elías
Published: May 2023

Élites, radicalismo y democracia: Un estudio comparado sobre América Latina, by Asbel Bohigues, Centro de Investigaciones Sociológicas, 2021
Review of Latin American guerrilla movements. Origins, evolution, outcomes
Authors: Solheim Håvar
Published: May 2023

Latin American guerrilla movements. Origins, evolution, outcomes, by Dirk Kruijt, Eduardo Rey Tristán, Alberto Martín Álvarez. Routledge, 2020
HEAT ABSORPTION EFFECT ON MAGNETOHYDRODYNAMIC (MHD) FLOW OF JEFFERY FLUID IN AN INFINITE VERTICAL PLATE
Authors: OMOKHUALE EMMANUEL , Dange M. S.
Published: May 2023

The current research reveals the impact of heat absorption on unsteady MHD convective Jeffery flow of a viscous, electrically conducting and incompressible fluid is researched on. The equations governing the flow of the fluid are described as Partial Differential Equations (PDEs) and Finite Difference Method (FDM) is used to obtain numerical solutions. Numerical investigations were conducted to examine the effect of parameters in the flow of the fluid i.e. on the velocity, temperature and concentration with the aid of graphs. It is seen that, the momentum boundary layer increases as the values of heat absorption and Jeffery parameters are increased while the velocity of the fluid fall for higher values of the suction and chemical reaction parameter. Also, the temperature of the fluid rises as heat generation becomes significant and a reverse trend is seen when suction is increased while increase in heat absorption parameter causes an increase in the concentration of the fluid.
SOLUTION OF FREDHOLM INTEGRO-DIFFERENTIAL EQUATION BY VARIATIONAL ITERATION METHOD
Authors: Lanlege D. I. , Edibo F. M. , Omeiza Momoh Sheidu
Published: May 2023

The Variational Iteration Method is applied to solve Fredholm Integro-differential Equation. The initial approximation was selected wisely which satisfies the initial condition of the given Fredholm Integro-differential Equation. The numerical result was analyzed with the aid of Mat-Lab and Maple software’s and are compared with the exact solution to show the usefulness and efficiency of the Method. The results show that the Variational Iteration Method is very efficient, reliable and of high accuracy for solving Fredholm Integro-differential Equation when compared with the exact solution.
DETERMINATION OF SELECTED PARAMETERS THAT INFLUENCE PLANTING SPACE UNIFORMITY ON MAIZE SEED
Authors: Ahmed K. , Saleh Aminu , Musa A. D. , Kalu G.
Published: May 2023

In order to realize optimum plant population for profitable maize production, there is to obtain uniform plant spacing. The objective of this study was, therefore, to determine certain planting parameters that influence uniformity in plant-to-plant and row-to-row spacing. To achieve this, a 4-row animal-drawn planter was used to plant SAMMAZ 14 maize variety in the Experimental Farm of Ahmadu Bello University, Zaria. Treatment factors varied were hopper seed quantity with three levels: 25, 50 and 100 %, three levels of ground speed: 0.6, 0.8, and 1 m/s, and two levels of planting depth: 1.5 and 2.5 cm. Results obtained shows that the multiple index, miss index, feed index and precision index were seen to be affected by planting speed with the best multiple, miss and precision index were achieved at planting speed of 0.8 m/s except for feed index whose best value was achieved at 1 m/s. Similarly, multiple and precision index were both affected by seed hopper quantity but no effect on Miss and Feed index. It was also observed that the best mean values were obtained at 100 % seed hopper quantity. All the indexes were never affected by planting depth while the performance of the planter on seed uniformity indexes improve with moderate planting speed and increasing seed quantity in the hopper. Therefore, planting at 0.8 m/s planting speed and 100 % seed hopper full result in uniform crop establishment for a profitable crop production.
STUDIES ON THE PREVALENCE OF GASTRO-INTESTINAL NEMATODES IN RUMINANT ANIMALS SLAUGHTERED IN BIU LOCAL GOVERNMENT ABATTOIRS, BORNO STATE, NIGERIA
Authors: Alhaji Mohammed Usman , Fidelis A. V. , Victor J. G.
Published: May 2023

An epidemiological study was conducted from September-November, 2022 on the prevalence of gastrointestinal nematodes species among naturally infected ruminants slaughtered in Biu Local Area of Borno state, using centrifugal flotation techniques. Out of three hundred and eighty four (384) ruminants (162 goats, 110 sheep and 112 cattle) examined in the three selected abattoirs (Biu, Maringa and Buratai), 239 (62.34%) were infected. Maringa had the prevalence rate of 64.65%, Biu 63.89% and Buratai 63.16%. Although the highest faecal egg counts was recorded in Cattle 66.07%, the difference in prevalence rate between the different location and species of the animal were statistically insignificant p<0.05. The parasites identified were Ascaris lumbricoides 33.81%, Ancylostomidae spp 30.93%, Trichosrongylus spp 16.54%, Strongyloides stecoralis 11.27%, Haemonchus contortus 5.51%, and Entoribius vermicularis 1.91%. Fulani cattle breed had the prevalence rate of 20 (71.43%), Wad Sheep 45 (66.18%) and West African Dwarf goat 80 (65.57%). The difference in prevalence rate between the different breed of all the animals were not statistically significant p<0.05.The prevalence rate was 47 (72.31%) in male goats, 20 (41.67%) sheep and cattle 31 (67.39%) whereas female counterparts had 50 (51.55%), 48 (77.41%) and 43 (65.15%) in goat, sheep and cattle respectively. Both young and adults were infected with GI nematodes. Gastrointestinal nematodes are endemic in the study area. Therefore, mass administration of anthelmintic drugs, regular vaccination as well as educating the livestock’s farmers toward insuring production of healthy meat and improvement of their welfare is required to control the parasite in the study areas.
Al-Fe LAYERED HYDROXIDE WITH BENTONITE CLAY AND APPLICATION FOR THE REMOVAL OF DYE FROM AQUEOUS SOLUTIONS
Authors: Suraj F. G. , I. Y Shinkafi  , Albashir Y.
Published: May 2023

The research was aimed to investigate the effect of decolourisation of Alizarin yellow dye from aqueous solutions using Al-Fe layered Hydroxide clay.Batch adsorption technique was employed to determine the optimum values of some parameters i.e initial dye concentration (10 – 50 mg/l), contact time (10 – 50 minutes) and adsorbent dose (0.1 – 0.5 g). The results obtained indicate that the dye concentration decreases with increase in contact time and adsorbent dosage.The Adsorption isotherms observed showed that the Langmuir adsorption Isotherm was best fitted having the maximum decolourisation of 76.89 mg/g and R2 value of 0.986. The Al-Fe layered Hydroxide prepared was characterized by SEM, FT-IR and XRD before and after the adsorption process. The SEM results showed the porosity was roughly filled after the adsorption. The FT_IR spectra showed the presence of OH, C=O and N-CH at 3625 cm-1, 1633 cm-1 and 2806 cm-1. The XRD results indicate that the crystalline structure was not altered after the adsorption process. In this research, a low cost and effective adsorbent was used for the removal of Alizarin Yellow dye in an aqueous solution.