bluuebunny/crossref_metadata_2025 huggingface dataset:
Computer Control Devices in Automation
Authors: Afolabi Daniyan Ilesanmi , Daniyan Lanre , Adeodu Adefemi , Ale Felix
Published: September 2023

This chapter deals with the control devices used in automation such as
Programmable Logic Devices (PLD), Programmable Logic Controller (PLC),
Programmable Automation Controller (PAC), Personal Computer (PC), etc. The goal
of the control devices in automation is to achieve an efficient, robust and reliable
system control. Basically, system control devices include input devices (for raw data
input), processing devices (for processing raw data into information), output devices (to
disseminate the processed data and information), and storage devices (for the retention
of processed data and information). The sensors feed the main controller with the input
data acquired from the environment. Following the processing of the data, the decision
is made by the main controller on the control action to take and this decision is
communicated to the actuator for execution. The actuator in turn drives the final
control device to implement the control action. The programming language is crucial in
achieving optimum efficiency. While the PLC follows a scan-based program execution,
PC software is usually event-driven. In terms of cost efficiency, indicators such as
performance, expandability, and ruggedness are important considerations. The initial
cost of a PC may be higher than that of a PLC as a PC is more suitable for processing
of complex network loads. PLC may be initially inexpensive but as the demand for
processing power increases, the PC-based system becomes more cost-effective. In
terms of expandability, PLC usually offers support to standard industrial equipment but
when an external control is needed, a PC is more suited. PLC does not require
additional protection equipment compared to PC.
Water Distribution Management in Real Time: Using a Cloud-Based Approach
Authors: Aderemi Bello Kazeem , Afolabi Daniyan Ilesanmi , Alexendra Ighodaro Osato , Adeodu Adefemi
Published: September 2023

Lack of access to potable water has become an issue of concern in our
society. In order to satisfy the increasing water demands of the galloping population in
Nigerian communities, it is essential to use smart technology to manage water
resources. The purpose of this research work is to ensure that inaccessibility to water as
a result of pump failure is detected in real-time through smart technology. To solve this
daunting challenge, an Arduino microcontroller and Liquid Crystal Display (LCD)
were used to switch on and switch off the submersible pump at a predetermined Water
Level (WL) in the tank and also to determine the pump availability hours. The WL in
the tank was monitored using an Arduino microcontroller, sensors, relays, and LCD. A
Global System for Mobile telecommunication (GSM) module was also used to create
an interactive medium between the user/maintenance team and the system to monitor
the submersible pump reliability based on engineering theory and concept. The system
was tested by introducing varying volumes of water in a constructed water distribution
system prototype in the laboratory. The microcontroller was efficient in controlling the
system; the pump was able to switch on and switch off when the WL in the tank was
50% and 100%, respectively. As an autonomous system, it was capable of taking
decisions automatically without human interference. The system was able to send
feedback via SMS to alert the user/maintenance team to check the pump whenever it
failed to pump water at WL≤ 50%. This innovative design system will help to monitor
and manage water distribution properly and it should be considered for use in schools,
hospitals, residences, offices, etc. to ensure the availability of water always, save
energy consumption and help in combating covid-19.
Development of Automated Waste Segregator
Authors: Afolabi Daniyan Ilesanmi , Adeodu Adefemi , Kelechi Jacobs , Daniyan Lanre
Published: September 2023

One of the major problems with waste generation today is the huge
percentage of plastics in its composition. The automated waste segregator is a
mechatronic system that solves this problem by the incorporation of high calibrated
sensors and mechanical properties into its design to enable the smooth segregation of
plastics and metals. It is capable of detecting and separating these components as soon
as they get to its sensing unit with the aid of capacitive proximity sensors and
ultrasonic sensors. The capacitive proximity sensor made with plated iron detects the
type of material in range either plastics or metals based on their di-electric constant. A
12V DC geared motor made with aluminum and iron of high torque and speed
characteristics is connected to the lids to enable its automatic open and close
mechanism. Also, a microcontroller (PIC18F452) was used to control the entire
segregation process of the system and is capable of storing and implementing the
software in real-time. The sensors are controlled by the PICI8F452 microcontroller and
based on the sensor readings, pulses are sent from the controller to the geared motor for
the fast action of lid opening. The results of the performance evaluation indicated that
the automated waste segregator has the capacity to identify and sort wastes into
plastics, metals and any other waste with the aid of a capacitive sorting technique.
Removal of Micropollutants and Pathogens from Water using Nanomaterials
Authors: Dhir Bhupinder , Kumar Raman
Published: September 2023

Presence of micro pollutants and pathogens in water has become a concern
worldwide. Micropollutants such as pharmaceutically active compounds, personal care
products, organic compounds and pathogens/microbes (viral, bacterial and protozoa)
pose a threat to humans. Nanotechnology has proved effective in developing strategies
for the treatment of contaminated water. Nanomaterials have found application in the
removal of different categories of pollutants, from water. The properties such as high
reactivity and effectiveness establish nanomaterials as ideal materials suitable for
treatment of contaminated water/wastewater. Nanomaterials such as carbon nanotubes,
graphene-based composites and metal oxides, have shown potential to remove dyes,
pathogens from wastewater. Research efforts are required to develop an eco-friendly,
economic and sustainable technology for the removal of micropollutants and biological
agents such as microbes using nanomaterials.
Contribution of Green Technologies in Getting Sustainable Environment
Authors: Dhir Bhupinder
Published: September 2023

Green technologies provide an eco-friendly and sustainable alternative to
conventional technologies. Conventional technologies used for combating pollution
show certain limitations and drawbacks. Green technologies have been accepted
worldwide for their advantages, such as easy availability, less environmental harm and
sustainability. In recent years, solar, wind, geothermal energy, and alternate fuels, such
as biogas and biodiesel, have emerged as eco-friendly alternatives to conventional
energy sources and fuels. Green technologies, such as developing eco-friendly and
recyclable products, have restricted the release of greenhouse gases, generation of
waste, and exploitation of natural resources to a great extent. Green technologies thus
provide a sustainable option to prevent environmental degradation and over-exploitation of natural resources. Carbon-neutral alternatives have the potential to meet
the needs of present and future generations. The production of clean energy is one of
the major approaches to get a sustainable environment. Developing clean and
environmentally friendly carbon-neutral alternatives can prove useful in meeting the
needs of the fuels of present and future generations.
Methodology
Authors: Synodi Evanthia
Published: September 2023

This chapter is dedicated to the empirical research undertaken in order to
discover, first, children’s perceptions on aspects of provision and practices, pre selected by me, which have characterized theories and policies about classes for five to
six year old children. A second purpose of carrying out this study is to discover what
aspects of a school for children of their age these children consider essential. All data is
discussed in terms of respect or violation of children’s rights in order to highlight the
connection of children’s views with children’s rights. It is a comparative research
conducted in a qualitative manner using focus groups. The sample is five to six year
old children who attended school in Scotland and Greece and participated in two focus
group sessions. Approval for this research with children was granted by the appropriate
authorities both in Scotland and Greece. Permission to conduct the research with
children was requested by their teachers, their parents, and the children themselves.
Finally, the measures taken to ensure that this research research is conducted in
accordance with research ethics and issues on its trustworthiness are discussed.
Microplastic Pollution, A Threat to Human Health: A Case Study at Thoothukudi, South India
Authors: Selvam Sekar , Muthukumar Perumal
Published: September 2023

 Microplastic pollution has become a serious problem that affects all marine
and terrestrial environments worldwide. In this study, we investigated microplastics in
the beach sediments and thus we collected 18 sediments from seven locations in
Thoothukudi coastal area. Microplastics were separated and recognized using visual
and micro-Fourier Transform Infrared spectroscopy (µFT-IR) studies. Microplastics’
concentration ranges from high concentrations (up to 53 particles kg-1 d.w) in the dune
areas to visibly lower ranges compared to beach sediments (up to 27 particles kg-1 d.w).
The majority of microplastics identified in collected sediments were polyethylene (PE),
polypropylene (PP), fiber(F), cellulose(CL) and nylon(NY) . The result of this study
can provide valuable background information about microplastic pollution by using
Atomic Force Microscopy (AFM) and the outcome of the results shows the presence of
microplastics that pollute the marine environment in Thoothukudi coastal area and
the human health risk in these areas.
Role of Artificial Intelligence in Healthcare Management
Authors: Bhaskar Amit , Yadav Pankaj , Singh Savendra Pratap , Kumar Vijay , Srivastava Sambhrant , Singh Saurabh Kumar , Singh Brihaspati , Dutt Akriti
Published: September 2023

Artificial intelligence (AI) has recently become one of the most heavily
debated themes in the technological world. AI is active in numerous fields and now it
has lately entered the healthcare sector. In addition to biomarkers, the use of AI is
increasing in a variety of applications such as genetic editing, disease prediction and
diagnostics, drug development, personalized treatment, and so on. Accuracy in disease
diagnostics is essential for effective and efficient treatment as well as patient safety.
Artificial intelligence is a wide and varied field of data, analytics and continuously
evolving insights that meet the needs of the healthcare sector as well as patients. The
purpose of the many subsections in this book chapter is to shed light on how AI
integrated with machine learning (ML) & Deep-learning (DL) techniques operate in
various disease diagnosis domains, medication discovery, medical visualization, digital
health records, and electro-medical equipment.
Multi-Agent Based Decision Support Systems
Authors: Kaswan Kuldeep Singh , Dhatterwal Jagjit Singh , Tiwari Ankita
Published: September 2023

Multi-Agent-Based Decision Support Systems (MADSS) have emerged as
powerful tools for facilitating decision-making in complex and dynamic environments.
This chapter provides an overview of MADSS, highlighting their fundamental
concepts, key components, and applications. MADSS leverage the principles of multi-agent systems, artificial intelligence, and decision support systems to enable
collaborative decision-making among multiple autonomous agents. The chapter begins
by introducing the concept of multi-agent systems, emphasizing the advantages they
offer in terms of adaptability, flexibility, and scalability. It then explores the integration
of decision support systems within this framework, enabling agents to make informed
decisions by analyzing vast amounts of data, evaluating various alternatives, and
considering multiple criteria. The architecture of MADSS is discussed, focusing on the
interactions among agents, the coordination mechanisms employed, and the
information exchange protocols utilized. Various agent types, such as user agents,
decision agents, and knowledge agents, are described, along with their roles and
responsibilities within the system. The chapter further explores the different approaches
and techniques used in MADSS, including rule-based systems, expert systems,
machine learning, and optimization algorithms. It highlights the importance of agent
learning and adaptation to improve decision-making capabilities over time. The
applications of MADSS across various domains are presented, including finance,
supply chain management, healthcare, and transportation. Case studies illustrate how
MADSS can enhance decision-making processes, improve efficiency, and optimize
resource allocation in complex real-world scenarios.
Lastly, the chapter discusses the challenges and future directions of MADSS. Issues
such as agent coordination, trust among agents, and handling uncertainty are addressed.
The potential of integrating emerging technologies like blockchain, the Internet of
Things (IoT), and big data analytics is also explored, envisioning more sophisticated
MADSS capable of handling larger-scale problems.
Virtual Reality to Augmented Reality: Need of the Hour in Human Resource Management
Authors: Aswale Neerja , Agarwal Pooja , Singh Archana
Published: September 2023

Augmented reality is the need of the hour for Human Resource Management
in this era of globalization wherein the world has become flat and businesses have no
boundaries. This global business has made varied functions to work in the virtual world
full of ease. The functions not only include finance, marketing, logistics, and supply
chain but also Human Resource Management has taken a face towards the virtual world
for its functions like recruitment, selection, performance management, competency
management, or training. The function started with virtual reality and has eventually
made a paradigm shift towards augmented reality. The chapter presents the evolution,
applications, and challenges of VR and AR with respect to HRM.
FUZZY MULTI-OBJECTIVE NONLINEAR PROGRAMMING PROBLEMS UNDER VARİOUS MEMBERSHIP FUNCTIONS: A COMPARATİVE ANALYSIS
Authors: AKARÇAY Özlem , YAPICI PEHLİVAN Nimet
Published: September 2023

Fuzzy sets have been applied to various decision-making problems when there is uncertainty in real-life problems. In decision-making problems, objective functions and constraints sometimes cannot be expressed linearly. In such cases, the problems discussed are expressed by nonlinear programming models. Fuzzy multi-objective programming models are problems containing multiple objective functions, where objective functions and/or constraints include fuzzy parameters. Membership functions are crucial to obtain optimal solution of fuzzy multi-objective programming model. In this study, a green supply chain network model with fuzzy parameters is proposed. Proposed model with nonlinear constraints is a fuzzy multi-objective nonlinear programming model that minimizes both transportation costs and emissions generated by two vehicle types during transportation. The model is used in Zimmermann's Min-Max approach by considering triangular, hyperbolic and exponential membership functions and optimal solutions are obtained. When optimal solutions are compared, it is seen that optimal solution obtained using the hyperbolic membership function is better than the optimal solutions obtained from triangular and exponential ones. Maximum common satisfaction level calculated using hyperbolic membership function for proposed model is λ=0.97. Sensitivity analysis is also carried out by taking into account distances between suppliers, manufacturers, distribution centers and customers, as well as customer demands.
Teaching of Preschool Education in Private Universities under the Background of Professional Certification Research on Quality Control System—Take Xi’an Fan Yi University as an Example
Authors: Li Yuchi
Published: September 2023

2023 Xi’an Fan Yi University School-level Project: “Research on the Path of Cultivating Scientific Literacy of Pre-school Education Majors in the Perspective of PCK-Taking Xi’an Translation University as an Example” (Project No. 23B09); 2022 Youth Project of Shaanxi Provincial Education Science “14th Five-Year Plan”: “Research on Teaching Quality Monitoring System of Pre-school Education Program in Private Colleges and Universities under the Background of Professional Accreditation” (Project No. SGH22Q236); 2022 University-level Education and Teaching Reform Research Project: “Research on Teaching Quality Monitoring System of Pre-school Education Program in Private Colleges and Universities under the Background of Professional Accreditation - Taking Xi’an Translation College as an Example” (Project No. J22B43); 2022 Xi’an Fan Yi University Curriculum construction and cultivation project: “Science education for preschool children” (Project No. 2022SP05KCJS05).
MAGNETIC ORIENTATION IN ANURANS: A CASE STUDY ON Rhinella arenarum (ANURA: BUFONIDAE)
Authors: Navas Romero Ana Laura , Herrera Moratta Mario Andres , Quiroga Lorena , Sanabria Eduardo , Escudero Consuelo
Published: September 2023

El campo magnético de la Tierra (EMF) es una de las fuentes de información direccional más uniformes y accesibles que los animales pueden usar en los movimientos de comportamiento. El presente estudio tuvo como objetivo determinar la capacidad de Rhinella arenarum para percibir los campos electromagnéticos. Para evaluar la influencia de los campos electromagnéticos en los anuros in situ, recolectamos cuarenta y cuatro especímenes adultos de R. arenarum durante la temporada de reproducción. Registramos el movimiento de cada sapo desde el centro hasta la periferia de un arenero circular utilizando una cámara de visión nocturna. Repetimos el experimento después de cinco minutos, con un campo magnético inducido adicional (IMF), que fue creado empleando dos bobinas de aire Helmholtz. Los movimientos de los sapos bajo la presencia de EMF y IMF fueron significativamente diferentes.  Concluimos que R. arenarum podría usar el EMF como mecanismo de navegación y sistema de ubicación, para viajar largas distancias hasta los estanques de desove año tras año.
PRIMER CASO DE ECTROMELIA EN LA RANA TERMITERA Hypopachus variolosus OBSERVADO EN EL PUERTO DE VERACRUZ, MÉXICO
Authors: Díaz García Juan Manuel , Reyes-Servín Fernanda Michelle
Published: September 2023

Describimos el primer caso de ectromelia de los huesos radio-ulna en la rana termitera Hypopachus variolosus observado en el Puerto de Veracruz, México.
FIRST RECORD OF ECTROMELIA IN Dryophytes eximius (ANURA: HYLIDAE) OF CENTRAL MEXICO
Authors: Olvera-Mendoza Alan Isaac , Hernández-Jiménez Emiliano , Díaz-Marín César A. , Ramírez-Bautista Aurelio
Published: September 2023

In this note we report the first record of ectromelia (incomplete limb segments) in an individual of Dryophytes eximius from a pine forest of Hidalgo, México.
Structural Traits of Cuitzeo Lake, Central Mexico, and Areas of Geothermal Potential
Authors: Rivera-Calderón Elizabeth , Álvarez Román
Published: September 2023

Cuitzeo Lake, in the central part of the Trans Mexican Volcanic Belt, is in an extensional region associated with the Cuitzeo graben, where magmatic ascent appears to provide the heat sources for the surface, geothermal manifestations. A profuse distribution of andesitic rocks is observed throughout the study area of 50×50 km2. Gravity and magnetic field 3D inversions are calculated to obtain density and magnetic susceptibility distributions to 7000 m depth, from which we analyze N-S and E-W cross-sections and obtain density and magnetic susceptibility geosurfaces that help characterize anomaly areas of interest. We use satellite-derived gravity and magnetic data in our evaluation, owing to their high-resolution characteristics and uniform coverage of the study area. Analysis initiates with the San Agustín del Maíz region (SAM), exhibiting surface geothermal manifestations, to characterize its density and susceptibility characteristics, then the analysis is extended to the whole study area. Several outcropping, low magnetic susceptibility regions, like the one associated with SAM, are suggested as potential geothermal targets. Density geosurfaces point to two volumes where magmatic material may intrude, coinciding with active geologic faults. The analysis presented here can be extended to neighboring regions in the Cuitzeo Lake area and may constitute a fast, unexpensive exploration methodology in similar geothermal districts.
Astronomical Data and its Visualization
Authors: Sharma Manas
Published: September 2023

Abstract: The Crab Nebula has been the subject of several studies because to its significance in understanding star formation, supernova remnants, and high-energy astrophysics. In this paper, we present a complete study of astronomical fitting file photos of the Crab Nebula using SAO DS9, a powerful and scalable software tool. Images, spectroscopy, luminosity values, catalogue data, and color mapping techniques are all employed in our investigation. The primary purpose of this research was to employ astrometric and spectroscopic techniques to analyze the intricate details and features of the Crab Nebula. We used SAO DS9 to analyze fits file pictures to reveal the nebula's morphological characteristics, intricate structures, and fine-scale features. I enhanced the nebula's visualization by employing numerous color maps, allowing us to acquire a better understanding of its emission properties and dynamic behavior. As part of our analysis, I also collected spectroscopic data from the fits files. These spectroscopic discoveries shed information on the nebula's physical properties and dynamics, as well as its origins and development. I retrieved and incorporated data from many scientific catalogues to widen the scope of our inquiry
Modelo de aceptación tecnológica en los canales digitales para la adquisición de productos agrícolas frescos
Authors: Romero-Sánchez Diego , Barrios Dursun
Published: September 2023

Objetivo: determinar los factores asociados al uso de canales digitales para la adquisición de bienes agrícolas frescos.
Diseño/metodología: se realizó un modelo de ecuaciones estructurales a partir de un análisis factorial confirmatorio que permitió evaluar los siete constructos de la Teoría Unificada de Aceptación y Uso de Tecnología 2 - UTAUT2- (expectativa de desempeño, expectativa de esfuerzo, influencia social, condiciones facilitadoras, motivación hedónica, valor del precio y hábito) en una muestra de 175 consumidores de productos agrícolas.
Resultados: se halló que todas las variables, excepto las condiciones facilitadoras, influyen significativamente en la intención de los consumidores de usar canales digitales para adquirir productos agrícolas frescos. Además, el hábito y la intención conductual se identificaron como antecedentes clave del comportamiento de uso.
Conclusiones: la investigación concluye que la experiencia, el género y la edad tienen un impacto positivo en la intención de utilizar canales digitales para la compra de bienes agrícolas frescos. Se sugiere que las estrategias de marketing digital en el sector agropecuario deben considerar estos factores para optimizar la adopción de canales digitales.
Originalidad: este estudio es el primero en aplicar el modelo UTAUT2 a la compra digital de productos agrícolas frescos, llenando un vacío en la investigación al incorporar variables de consumo y enfocarse en un nicho poco explorado.
Over speed surveillance system using Deep Learning and Distributed System
Authors: Gaihre Sanjog , Dhaubanja Aabhas , Adhikari Nabin , Das Nitesh , Tamrakar Pratik , Sharma Binod
Published: September 2023

This paper tackles worldwide road-safety and traffic-management issues
by implementing vehicle speed detection and license plate identification
technologies. A holistic method to improve road-safety and traffic
control addresses limited training data issues. The study stresses the
necessity for an efficient and reliable vehicle recognition, license
plate identification, and character segmentation system for precise
speed detection. A three-class Vehicle Detection model and customized
models for Numberplate detection, Character-segmentation, and
Character-Detection are presented to suit this need. Creating complete
training and testing datasets requires thorough data preparation, hand
clipping, and labeling. Data augmentation separates validation and
testing subsets while expanding the dataset. A robust and automatic
system for real-time vehicle speed detection and license plate
identification is the major contribution of this research. The suggested
system uses advanced deep learning to monitor and regulate traffic
efficiently, reducing manual intervention and improving road-safety.
Experimental findings reveal that the Vehicle Detection model can
recognize automobiles and the specialized models can detect license
plates, segment characters, and detect characters. The output of one
model feeds into the input of another on a distributed system, thus
these four models can operate simultaneously. These results demonstrate
the system’s ability to improve road-safety and urban traffic
management.
A Pilot Study of Plasma Microbial Cell-Free DNA Following Chimeric Antigen Receptor T Cell Therapy in Pediatric Patients with Relapsed/Refractory Leukemia
Authors: Aftandilian Catherine , Bito Xue Rachel , Berman David , Zhang Amy , Duttagupta Radha , Davis Kara
Published: September 2023

Chimeric antigen receptor (CAR) T cell therapy is a promising treatment
for pediatric patients with relapsed or refractory B cell acute
lymphoblastic leukemia (R/R B ALL). Cytokine release syndrome (CRS) is a
common toxicity after CAR T cell therapy and fever is often the first
symptom. Differentiating CRS from infection after CAR T cell therapy can
be challenging. Plasma microbial cell free DNA (mcfDNA) is a novel
diagnostic tool which allows for qualitative and quantitative assessment
of over 1,000 organisms. This pilot study sought to characterize mcfDNA
results in pediatric patients with R/R B ALL in the first two months
after CAR T cell therapy.
Analytical solution to the steady Navier-Stokes equation for a supersonic cone in the area of boundary layer behind the shock wave by means tunnel mathematics
Authors: Shvydkyi Oleh G.
Published: September 2023

The means of tunnel mathematics (the theory of functions of spatial
complex variable) allow to find an analytical solution for problem of
supersonic flow around a cone in the area of boundary layer and beyond.
The peculiar feature of Navier-Stokes equations is that they allow to
determine analytical velocity fields of fluids only for small number of
simple problems. Of course, the problem of supersonic motion of fluid
around a cone is not included in this number. Tunnel mathematics is a
method for finding analytical vector velocity fields for steady flows of
fluids with axial symmetry. The Navier-Stokes equations themselves are
then used to determine pressure and temperature distributions. The main
theorem of tunnel mathematics allows to find these distributions for
planes z = const (it is similar to the constructing of slices of
brain at MRI procedure). Further, collecting these “slices”, we can
obtain full space distributions of pressure and temperature around a
supersonic cone. At this stage of investigations, the conclusions
obtained by means tunnel mathematics make it possible to qualitatively
judge the thickness of boundary layer on the cone surface, the shape of
the shock wave and weather the shock wave intersects the boundary layer
or not. First of all, we focused on ensuring that resulting solutions
corresponded to the physical pattern of phenomena. No doubt, solutions
obtained by means tunnel mathematics must be confirmed experimentally.
Sink populations decouple species occupancy and persistence across a productivity gradient
Authors: Craig Emilie , Szojka Megan , Germain Rachel , Shoemaker Lauren
Published: September 2023

For decades community ecology has examined empirical relationships
between ecosystem productivity and diversity. Despite this long history,
tests of hypothesized mechanisms, namely the interplay between
environmental filtering, biotic interactions, and dispersal, are
lacking, largely due to their intractability using traditional
approaches. Across a productivity gradient in a serpentine grassland in
California, USA, we coupled occupancy data for four annual plants with
persistence measures of paired transplants under natural conditions and
reduced biotic interactions with neighbors. We found a positive
relationship between productivity and biodiversity (i.e., the proportion
of our four focal species found in a location) despite strong
competition limiting species persistence in productive environments.
Additionally, across species and for the community, we found a strong
mismatch between occupancy and persistence, largely due to dispersal
excess. Our results suggest that biodiversity-productivity relationships
can be largely driven by dispersal and its interactive effects with
local biotic and abiotic conditions.
Long-lived Deep Coherent Vortices in the Northeast Atlantic Ocean
Authors: Chouksey Ashwita , Gula Jonathan , Carton Xavier J.
Published: September 2023

Ocean eddies play an important role in the distribution of heat, salt,
and other tracers in the global ocean. But while surface eddies have
been studied extensively, deeper eddies are less well understood. Here
we study deep coherent vortices (DCVs) in the Northeast Atlantic Ocean
using a high resolution numerical simulation. We perform a census of the
DCVs on the $27.60$ kg/m$^3$ isopycnal, at the depth of
$700-1500$ m, where DCVs of Mediterranean water (meddies) propagate.
We detect a large number of DCVs, with maxima around continental
shelves, and islands, dominated by small and short-lived cyclones.
However, the large and long-lived DCVs are mostly anticyclonic. Among
the long-lived DCVs, anticyclonic meddies, stand out. They grow in size
by merging with other anticyclonic meddies. Cyclonic meddies are also
regularly formed, but most of them are destroyed near their formation
sites due to the presence of the energetic anticyclonic meddies, which
destroy cyclones by straining and wrapping the positive vorticity around
their core. During their life cycle, as they propagate to the southwest,
anticyclonic meddies can interact with other DCVs, including
anticyclones containing Antarctic Intermediate Water generated near the
Moroccan coast, Canary anticyclonic DCVs and cyclonic DCVs generated
south of $30^\circ$N along the African continental
shelf. With these latter, they can form dipoles, and with the former,
they co-rotate pro tempore. Thus, a more detailed view of the life cycle
of anticyclonic meddies is proposed: they grow by merging, undergo
multiple interactions along their path, and they decay at low latitudes.
Critical Analysis of Gati (Gait) in Ayurvedic and Jyotish Science in Modern Perspective and its Impact on Socio Economic Status and Health
Authors: SD Waghe
Published: September 2023

Gati’ refers to the distinct pattern of walking of an individual [lq[k lapfjr iknk L;kr~ xfr% A u`-lk-“kk- 3@14]. It is one of the body parameter which needs to be examined under ‘Ayu laxanas’ (body characteristics) for the assessment of strength of the body as well as for futuristic outcome of health and wellbeing. In modern medical science, Gati is referred as the ‘Gait’ of the patient. There are many such Gaits (distinct walking patterns) are described in ancient Jyotish and Ayurvedic sciences and in modern medical science also. But Ayurvedic and Jyotish science take into consideration the general well being, socio economic status from Gait observation whereas modern medical science thinks of only disease patterns from it. The Ayurvedokta and Jyotish shastrokta Gati (Gait) characteristics could also be studied in modern perspective and their role in disease identification needs to be explored on broader scale with the help of modern science. The Jyotish science is complimentary and contemporary to the Ayurvedic medical science. The principles of Jyotish science have been applied in Ayurvedic science at various places. The various body characteristics and Gati (Gait) are described in ‘Sharir Laxan Adhyay’ and ‘Ayurday Adhyay’ of Ayurvedic and Jyotish science respectively. Acharya Charaka had described the ‘Gati’ in the Vimansthana chapter eight of his treatise ‘Charak Samhita’ under ‘Dashvidha Pariksha’ whereas acharya Kashyapa had described it in Laxnadhyay of sutrasthana of his treatise ‘Kashyapa Samhita’. These Gati characteristics are used to predict the future outcome of health, education, and career and socio economic status. Literary review of literature related to Gati is done to study it critically and comparatively from Ayurvedic and Jyotish science. It is concluded that the Gati characteristics can be used as a parameter for predicting health and socio economic status. The persons having normal well organized walking pattern are immune to the diseases and have good health and fortune.
LIMITING THE NUMBER OF POLYGAMIES TO REALIZE ECONOMIC JUSTICE: A HERMENEUTIC ANALYSIS OF MUHAMMAD SYAHRUR
Authors: Saprudin Udin , Junaedi J , Kerwanto K , Anurogo Dito
Published: September 2023

Looking at the times, humanitarian problems have developed so complex, ranging from genetics, space exploration, education, interfaith relations, gender issues, human rights, and so on. The rapid development of the times makes Islamic sciences inevitably have to follow the flow of the times, and without exception the science of interpretation. The science of interpretation is required to always develop in the face of the complexity of humanitarian problems. It was here that the idea of the use of hermeneutics became a necessity for today's interpreters. Hermeneutics as a methodology in the interpretation of the Quran is considered quite important and urgent to do because hermeneutics does not only speak at the level of the text alone but also considers the context and role of subjectivity of an interpreter, so that by using the method of hermeneutics, interpretation or study of the Quran is expected to be able to become an actual contextual and answer the challenges of the times. The problem in this study is how Muhammad Syahrul's hermeneutic method in interpreting Quranic verses about Polygamy. The purpose of the study was to know and analyse Muhammad Shahrur's hermeneutics in interpreting Qur'anic verses about polygamy. The research method used in writing this paper is a qualitative research method through library research or literature review method using descriptive analysis writing method. The results showed that using his Limit Theory (Nadzariyah al-Hudud), Syahrur tried to reconstruct the understanding of polygamy by using quantity and quality standards together. In terms of quantity, the minimum standard limit for a person to marry is once (one wife), and the maximum limit is four wives. Islam allows a person to marry 4 (four) people together (polygamy), but in quality it is necessary to distinguish between the status of the first wife and the status of the second, third and fourth wives. For first wives (first marriages) one can marry a woman who is a virgin or widow whether or not she has children, but in a second, third, and/or fourth marriage (polygamy), the wife must be widowed and have orphans. So one cannot marry all one's wives in virgin condition, but on the contrary it is quite possible one marries wives who are all widows. This is in accordance with the main purpose of polygamy, which is to provide protection and protection and ensure the welfare and happiness of orphans living in intact families so as not to become homeless and avoid juvenile delinquency.
TELEGRAM NEWS CHANNELS: OVERVIEW, AUDIENCE PREFERENCES, SPECIFICS OF FUNCTIONING
Authors:   Lviv Polytechnic National University, Kitsa Mariana
Published: September 2023

The article is devoted to the study of popular global news telegram-channels, their impact on society, and the identification of advantages and disadvantages of this media format. The article examines prominent news channels such as The New York Times, BBC News, The Guardian, CNN and Reuters. Their features and differences are analyzed, the positive and negative aspects of using Telegram channels to receive news and information are described. For the research, the audience was also surveyed about their experience of using news telegram channels and their opinion about the advantages and disadvantages of this media format. The article also provides advice on choosing reliable and objective news telegram channels and warns about the possibility of spreading propaganda and biased information in some channels. The results of the study showed that Telegram news channels are mostly popular among young people who are looking for quick and convenient access to information. Surveys of the audience showed that the majority of respondents consider such channels convenient and accessible for receiving news. However, the study also revealed the risks of providing biased and fake information by some Telegram news channels. Therefore, it is important for users to pay attention on the content of Telegram channels and check information from other sources. The study of popular global news Telegram channels was conducted using the methods of activity and content analysis, which made it possible to identify the prevailing topics, types of materials and the level of audience activity. In addition, the study found that content quality and journalistic standards differ from channel to channel. Telegram channels The New York Times, BBC News, The The Guardian and Reuters have received high marks from audiences and experts for the quality and independence of their information. The CNN Telegram channel also has high journalistic standards. So, the article contains valuable information for those who are interested in news and use Telegram channels as a source of information. It will help to choose the most high-quality and reliable channels, as well as to use them with maximum benefit and caution.
Karakterisasi mutu minuman jeli okra nanas dengan kombinasi karagenan-konjak[Characterization of pineapple okra jelly drink quality with different concentrations of carrageenan-konjac combination]
Authors: Amelia Julfi Restu , Pujilestari Shanti , Hamidatun Hamidatun , Monica Putri
Published: September 2023

ABSTRACTOkra-pineapple jelly drink requires hydrocolloid as a gelling agent. The combination of carrageenan-konjac hydrocolloid used was 75:25 in order to produce acceptable and good quality jelly drink characteristics. This study aimed to characterize the quality of pineapple okra jelly drink with the addition of hydrocolloid (carrageenan-konjac combination). The concentration treatments of the carrageenan-konjac combination 75: 25 in this study were 0.6%, 0.7%, 0.8%, 0.9% and 1%. The research was carried out using a completely randomized design (CRD) experimental method with one factor and 3 replications. Data were analyzed statistically with ANOVA and Duncan multiple range test. The results showed that the concentration of the carrageenan-konjac combination had a significant effect on viscosity, water content, total dissolved solids, hedonic and scoring texture quality tests, but had no significant effect on pH, hedonic and scoring tests for color, taste and aroma. The best concentration of carrageenan-konjac combination in pineapple okra jelly drink was a concentration of 0.9% which had characteristics: viscosity 2488.33 cP, pH 4.05, water content 94.22%, total dissolved solids 5.10º Brix and sensory score from 3.9-4.2 (like) for color,  aroma ,  taste and texture.   This best treatment had greenish yellow color, fragrant aroma,  sweet taste and slightly chewy texture. The supporting test in the form of antioxidant activity test (IC50) was 16.47 ppm indicated  in the very strong category.
Evaluation on the effect of butternut pumpkin (Cucurbita moschata) maturity stage on the bioactive components and antioxidant activity of pumpkin flour
Authors: Nurdjanah Siti , Nurbaiti Nurbaiti , Astuti Sussi , Utomo Tanto Pratondo , Dewi Sartika
Published: September 2023

Pumpkin flour is a processed product high in carotenoids and a good source of nutrients. This nutritional content of pumpkin flour was considered to be influenced by the fruit maturity stage. Therefore, this research aimed to evaluate pumpkin flour's chemical properties, bioactive components, and antioxidant activity at different maturity stages. This also used honey pumpkins with a maturity stage of 15, 20,25, and 30 days after fruit set( DAFS). The results showed that the maturity stage of butternut pumpkin affects the moisture content and bioactive components such as phenols, flavonoids, and carotenoids of flour produced. Furthermore, the highest antioxidant activity was found in pumpkin flour with a maturity stage of 25 DAFS with IC50 values of 85.31 µg/mL (DPPH) and 64.39 g/mL (ABTS). Therefore, butternut pumpkins with a maturity stage of 25 DAFS can be processed into flour with antioxidant properties.
Pengaruh penambahan tepung kulit ari kedelai dan tepung wortel terhadap sifat fisikokimia dan sensori mie kering [Effect of the soybean husk and carrot flour addition on the physicochemical and sensory properties of dry noodles]
Authors: Prayitno Sutrisno Adi , Utami Dwi Retnaningtyas , Ningrum Sugiyati , Patria Domas Galih , Putri Silvy Novita Antrisna , Puspita Rizqa Arya , Niam Muhammad Khoirun
Published: September 2023

Noodles are generally made from wheat flour which is only high in carbohydrates. Meanwhile, noodle products are needed sholud have others nutritional compound that can be used as daily needs consumption. One of them is the utilization of soybean husk which has been only discardes or used as animal feed.  The utilazation of soybean husk waste has not been widely used for the food products. Noodles product can be susbtituted for carrots which are rich ini vitamins and carotenoids. Between of them can be substituted into noodle product proccesed.   The purpose of this study was to analyze dry noodle products on the effect of soybean epidermis and carrot flour addition on physicochemical and sensory properties. These dry noodles could be used for a healthy menu as an alternative to carbohydrates in rice.  There are some previous study  about the effect of soybean husk added to the making of biscuit and cookies products that increase status of nutrition, however it was rarely utilized to substitute on the noodle making. Hence, the aim of this study were to utilize of the soybean husk and to analyze dry noodle products on the effect of soybean husk and carrot flour addition on physicochemical and sensory properties. The method of this study was carried out using quantitatve descriptive with prameters analyzed were moisture content, rehydration power, swelling power, and elasticity as well assensory. While the sensory data were examined by the Kruskal Wallis test. The physicochemical analysis properties test results showed that significant differences in rehydration power, swelling power, and water content, while the product elasticity showed no significant difference. The rehydration power, swelling power, elasticity,and water content showed that 86.67-133.34%;10-20%; 29.80-48.21% and1.19-1.95%, respectively. Furthermore, the sensory test results showed that there were significant differences in aroma and taste, while no significant differences in color and texture. The evaluation sensory of color and texture showed sig>α (0.88>0.05; 0.62>0.05), it mean that there was no difference, while in aroma and taste there were differences with sig<α (0.01<0.05). It can be concluded that the addition of soybean husk and carrot flour had an effect on the chemicals and organoleptic properties of dry noodle. To distguise the aroma of soybean husk other ingredients such as ginger or can be added.  Hence,, the further research was necessary conducted in order to obtain strongly attractive color and aroma in dry noodle and to get rid of the unpleasant aroma optimally.
Pengaruh suhu sterilisasi pada sifat morfologis dan mekanik kemasan fleksibel retort produk empal gentong siap saji [The effect of sterilization temperature on morphological and mechanical properties of retort flexible packaging for ready to eat “empal gentong” product ]
Authors: Kusumaningrum Annisa , Febrisiantosa Andi , Amri Aldicky Faizal , Amdani Rima Zuriah , Nurhikmat Asep , Prayogi Siswo , Dewandaru Bayu Murti
Published: September 2023

Thermal food sterilization is the preservation technology to extend packaged food shelf life. The properties of packaging materials that change after thermal sterilization are morphological, mechanical, and color properties. This study aimed to observe the effect of sterilization temperature on the morphological, mechanical, and color properties of flexible retort pouch packaging. The food product sample processed in retort packaging was Indonesian traditional food, “empal gentong”. The retort package was composed of PET/Al/Nylon/CPP and processed at 121 °C 0,8 bar for 9 min, with an unprocessed sample was as a control. Three replications of mechanical and color results were analyzed using T-test with p<0.05 significance level to determine the significant difference. The retort pouch sample showed visual and microscopic defects in the form of separation between the PET layer and aluminum foil after being processed at 121 °C 0,8 bar for 9 minutes. In addition, temperature processing at 121 °C influenced the tear strength results and color significantly (p<0,05). Color changes was occured on the inside of the packaging contacting with the food. Each layer in multilayer packaging is interrelated and supports one another. Multilayer flexible packaging combines the different properties of a single monolayer material, so it is suitable for commercial sterile food packaging.
Effects of Field Work Practice, Information Mastery, and Work Motivation on the Work Readiness of Vocational High School Students in Indonesia
Authors: Sari Darti Purnama , Rahdiyanta Dwi
Published: September 2023

This study aims to analyze the impacts of (1) PKL (Field Work Practice) experience, (2) information mastery, (3) work motivation, (4) PKL, mastery of information, and motivation on students’ work readiness. This study employed the ex post facto design using the regression approach. The population consisted of 310 students of class XII of the Mechanical Engineering expertise program in Vocational High Schools in Yogyakarta, and the total number of participants was 170 students. The number of participants was determined using Issac & Michael’s formula. Then, using the purposive sampling technique, the sample was selected. Meanwhile, the data were collected through surveys, tests, and documentation. The collected data were analyzed using multiple linear regression analysis to check the hypothesis. The results of this study show that: 1) PKL has a positive and significant effect on students’ work readiness (p = 0.015) with an effective contribution of 9%, (2) mastery of information has a positive and significant effect on students’ work readiness (p = 0.012) with an effective contribution of 5.1%, (3) work motivation has a positive and significant effect on students’ work readiness (p < 0.001) with a contribution effective 30%, and (4) PKL, information mastery, and work motivation simultaneously influence students’ work readiness (sig. 0.000) with an effective contribution 44.6%.