bluuebunny/crossref_metadata_2025 huggingface dataset:
Design of FOPID Controller for Optimizing AVR System using Harris Hawk Algorithm
Authors: Samasani Jaya Surya V. , Krishna B.T.
Published: March 2024

The Automatic voltage regulator (AVR) system maintains the terminal voltage of the generation unit within safe limitations. But the performance is irregular and delayed. A controller is used in conjunction with the AVR system to improve this. In AVR, the FOPID Controller is the main component. FOPID beats the other controllers in terms of its control capabilities and tuning adaptability. The basic role of this examination is to decide how best to utilize this idea while making AVR, But the Tuning is more complicated due to FOPID's additional parameters (λ and μ). To overcome complexity in this research, the Harris Hawk optimization (HHO) technique is based on a bionic intelligent optimum tuning approach. Gains in FOPID efficiency may be maximized by eliminating absolute error in integral time (IATE), or fitness function. MATLAB/SIMULINK is used to double-check the findings, which the findings of a comparison between the suggested HHO-based optimum AVR design and a previously published GBO-based optimal design of AVR demonstrate that the former delivers the superior dynamic response and increased stability.
New Current-Mode Precision Full-Wave Rectifier Employing Single Inverted Z-Copy Current Differencing Buffered Amplifier
Authors: Roy Suvajit , Paul Tapas Kumar , Pal Radha Raman
Published: March 2024

This paper aims to introduce a new current-mode precision full-wave rectifier configuration using a single inverted Z-copy current differencing buffered amplifier (IZC-CDBA) and two nMOSFETs. The unique feature of the proposed configuration is that it can simultaneously produce both the inverting and non-inverting rectified outputs without changing its architecture. Only active components make the configuration more suited for IC implementation. Moreover, it features low input impedance and high output impedance, making it fully cascadable. In addition, the new design enjoys extremely high-frequency operations. The effects of non-ideal transfer gain and parasitic impedances on the designed circuit are also explored. PSPICE simulations test the functionality of the proposed circuit for two distinct types of IZC-CDBA realization. The CMOS-based realization is checked through TSMC 0.18 μm level-7 technology parameters. The average DC current output, input dynamic range (± 450 μA), power consumption, temperature, total harmonic distortion, noise, and Monte-Carlo studies are performed to judge the efficiency level. The findings of the simulations match up nicely with the theoretical analysis. RMS and average value computation for a sinusoidal signal are also provided as an application of the suggested full-wave rectifier.
Assessment of Reservoir Sedimentation Using RS and GIS Techniques: A Case Study of Singda Dam, Manipur, India
Authors: Sophiya Meraimayum , Updhayaya Chandra
Published: March 2024

Through the use of remote sensing (RS) and geographic information systems (GIS), the study sought to evaluate the reservoir sedimentation at the Singda Dam in Manipur, India. The sedimentation assessment was performed using the SWAT (Soil & Water Assessment Tool) model. In order to determine the LULC (Land Use Land Cover) of the Singda watershed between 2011 and 2020, this study also used RS and GIS methodologies. Datasets from Landsat-7 (ETM+) and Landsat-8 (OLI) were used for the chosen time period. According to the results, the proportions of the various LULC kinds in the study region between 2011 and 2020 were found to have significantly changed. The SWAT model was successfully executed, according to several outputs. Sediment yield and discharge were considered to be relevant factors for this project and are the subject of analysis. The Singda Watershed produces and discharges sediment at an average yearly rate of 2014095.53 tons and 635.92 cumecs, respectively. The coefficient of determination (R2) was found to be 0.82, or 82% for sediment loss. According to the study, this model provides satisfactory results and can be used in reservoir areas with comparable geology.
Strom Water Drainage Design – A Case Study
Authors: Dahiphale Satyam , Nimbalkar P. T. , Jadhav R. H.
Published: March 2024

Strom water drainage drains excess water from streets, sidewalks, roofs, buildings and other areas. A system used to drain strom water at various places has different names like sewers and drainage wells. Strom water can be any rainfall, such as rain, snow and sleet that falls on the surface of the earth. In areas with natural groundwater, about 10% of the precipitation becomes runoff and about 50% infiltrates into the soil to form or replenish groundwater and flows into streams. In view of the existing status of drainage systems in urban areas that cause frequent flooding leading to loss of property and life, it necessitates looking into the problem more closely and coming out with planning, designing, implementation and operation & maintenance guidelines to overcome the problems in urban areas. In this paper study of the drainage system of Bharti Vidyapeeth complex is shown which has been done throughout the project. Various phrases has been studied during the study of this particular project. It has been found that drainage system is not a factor that depends on a single particular section but equally on various interrelated factors .In this research paper, one can have idea about the several methods which has been used throughout the project.
Multi-analytical approach for Risk identification and its management for successful Infrastructure projects
Authors: Shankarrao Mukkawar P. , Narwade R.P. , Nagarajan Karthik
Published: March 2024

It has been determined that managing risks is a crucial management technique for achieving project goals in terms of time, money, quality, and degree. On the basis of a thorough analysis of agreement states, this article recognises dangers and categorises them into eight categories. It is viewed in a personal way. It is believed that social body opposition, risk assessment, plan modifications, and work suspension will all have the biggest effects on the project's objectives. This research has produced a few suggestions for reducing the hazards associated with development projects, or mitigation methods. The contract agreements are employed as a tool to track risk, and the client, contractors, and financial backers who are sponsoring the project must specify how they intend to threaten the executive's plan during the project's lifespan. It is intended that clients, contractors, project workers, and governmental organisations will work together to manage projected hazards as they arise, starting at the attainability stage.
Developing a Neural Network-based Model for Identifying Medicinal Plant Leaves using Image Recognition Techniques
Authors: Tiwari Nidhi , Gupta Bineet K.
Published: March 2024

Herbal plants play a vital role in human health and the environment, as they can provide both medical benefits and oxygen. Many herbal plants contain valuable therapeutic elements that can be passed down to future generations. Traditional methods of identifying plant species, such as manual measurement and examination of characteristics, are labor-intensive and time-consuming. There has been a push to develop more efficient methods using technology, such as digital image processing and pattern recognition techniques to address this. The proper identification of plant methods using computer vision and neural network techniques has been proposed. This approach involves neural network models such as CNN, ALexnet and ResNet for identifying the medical plants based on their respective features. Classification metrics give the 96.82 average accuracies. These results have been promising, and further research will involve using a larger dataset and going more into deep-learning neural networks to improve the accuracy of medicinal plant identification. It is hoped that a web or mobile-based system for automatic plant identification can help increase knowledge about medicinal plants, improve species identification techniques, and protect endangered species.
Experimental Analysis of Time Series Models for Traffic Flow Prediction
Authors: Tiwari Nivedita , Prasad Lalji
Published: March 2024

Traffic flow prediction is a research topic signified by several researchers in a league span of disciplines. In this context, one of the most in-demand techniques of Machine Learning, especially time series-based techniques, helps in predicting traffic flow forecasting and increases the accuracy of the prediction model. In order to deliver extremely precise traffic forecasts, it is crucial that we put the prediction system into practice in the actual world. We aim to perform computations related to traffic on the traffic datasets and determine the accuracy of each model. For this purpose, we are using three distinct time series models: Long Short Term Memory (LSTM), the Autoregressive Integrated Moving Average (ARIMA), and the Seasonal Autoregressive Integrated Moving Average (SARIMA). From the results obtained, it is concluded that the proposed model achieves the highest prediction accuracy with the lowest root mean squared error.
Third Eye: A Comprehensive Solution for Road Safety
Authors: Nagaonkar Jagruti , Lobo Natasha , Varghese Jevin , Fernandes Nigel , D'souza Dilton
Published: March 2024

Factors such as reckless and careless driving have led to a rapid increase in two-wheeler accidents, leading to an increased fatality rate. As per a recent United Nations survey, lives of at least four in ten motorcyclists who die in road accidents could have been saved by wearing proper head safety gear. It becomes utmost clear to impose strict helmet regulations. However, the limited presence of traffic police personnel makes it impossible to pursue legal action against every violator. Thus, automating this process of handling violations is highly desirable. We propose a system that will monitor live feeds from inputs such as traffic surveillance systems, vehicle dashcams, and traffic personnel bodycams to detect the offense. The system in discussion will be lightweight and optimized to work efficiently on existing commodity hardware. Suppose the motorcyclist is not wearing a helmet. In that case, the system will record the offense by capturing the license plate information along with snapshots of the vehicle, location and timestamp of the offense
A Comparative Study of Conventional Transition Model and Reverse Transition Model for Wireless and Radar Applications
Authors: Varshney Atul , Sharma Vipul
Published: March 2024

Microstrip line-to-waveguide transitions (MLWT) finds various applications in the field of RADAR engineering, navigation science, medical electronics, household equipment, satellite tracking equipment, wireless communications etc. Conventionally, the MLWT is designed so that the microstrip line is inserted in E-plane and perpendicular to the waveguide’s side wall, while the microstrip probe’s radiating face is towards the waveguide’s open end port. In this paper, an MLWT has been designed for Ka-band applications and the transition has been designed in such a way that the radiating face of the inserted microstrip line probe is towards the short circuit end of the waveguide. The method is called the reverse transition method. The microstrip signal reflected from the short circuit end comes in additive phase with the traveling wave and the strength of the traveling wave increases. MLWT has been developed using this method and results for Ka-band applications are presented in this paper. This work reported more than 20 dB improvement in return loss (RL), 0.1dB improvement in insertion loss (IL) and almost 7 to 8% enhancement in 10dB fractional bandwidth compared to the conventional method. Comparative analysis of the two methods has been shown in tabular form at the end of the paper.
Many Body Aspects on the Lattice Vibrational Properties of Germanene and Silicene along Highly Symmetry Directions
Authors: Khan Mohd. Imran A. , Anas Ahmad , Mishra Rahul K. , Ahmad Nafis
Published: March 2024

The investigation of lattice vibrational properties in monolayer two-dimensional honeycomb lattices comprising 2D group-IV semiconductor materials such as Germanene and Silicene (Low Buckled structure) holds immense significance in the realm of research, owing to their potential integration into the forthcoming electronic sector for information technology. The ductile nature of 2D group-IV semiconductor materials enables seamless integration with existing semiconductor technology on substrates, setting them apart from Graphene. Our primary objective revolves around comprehending the lattice vibrational properties of Germanene and Silicene (LB) through the examination of their honeycomb and buckled lattice structures. We use the Adiabatic Bond Charge Model with a Python program to derive vibrational frequencies at the Г points along highly symmetrical directions. Moreover, we extensively analyze the acoustical and optical contributions to the lattice vibrational frequencies. We anticipate that the phonon frequencies along the Г‒M direction for 2D atomically thin Germanene and Silicene will yield reasonably similar outcomes to those other research groups achieve.
Analysis and Prediction of COVID-19 Cases in Pune Using Machine Learning Techniques
Authors: Bastapure Minakshi , Nilvarn Chaitrali , Gosavi Annapurna , More Pranjali , Kadam Sandeep
Published: March 2024

COVID has caused a major outbreak in the world. It has brought about the breakdown of the economy, significant over-burden in the well-being area, a break in the schooling system and lost lives, and so forth. To ensure that the condition of the world comes to a superior spot regarding work, money and well-being, controlling the outbreak has turned into a main concern. In this paper, ARIMA time series forecasting model is utilized to predict and forecast the assessment of the spread of COVID-19 contamination in the following week. We have taken the data of COVID-19 patients of the Pune district in India. The data is visualized in a simple-to-consume and interactive format. By and large, this paper can help experts and authorities control the COVID-19 outbreak by helping them gain alertness.
The Viability of Viewdata as a Mass Medium: A Case Study of Prestel, the Prototype for Computerized Information Systems, the Internet
Authors: Davenport Lucinda D
Published: March 2024

Great Britain’s videotext Prestel was the first viewdata system in the world and is considered a prototype to the Internet. It was a planned, technological wonder for online information and communication that other countries adopted. After a whirlwind of demonstrations and promotions, it failed to achieve a mass market in its own country and its creators’ dreams of a networked world. This article analyses why and how Prestel was developed and marketed, and its public reception, using the framework of platform studies and adding systems theory.
Classification of Water Bodies Using Ensemble of U-Net and Random Forest Algorithm
Authors: Vasavi S , Chintalapudi Venkata Kalyan , Vuppuluri Akhila Sree Rajeswari
Published: March 2024

Water bodies classification using remote sensing and deep learning techniques plays a pivotal role in the effective management of water resources. This study aims to address the challenge of accurate water body detection and classification, which is essential for understanding their distribution and characteristics, ultimately informing water usage and conservation efforts. Current methodologies predominantly rely on Support Vector Machines (SVM) and pixel-based approaches, resulting in suboptimal accuracy. In response, this paper proposes an ensemble model that combines the U-Net neural network and the Random Forest algorithm for enhanced water body detection and classification. The research commences by obtaining high-resolution satellite images with a resolution of 0.5 m. The U-Net model is employed to segment water bodies, and contour analysis is subsequently applied to extract shape features. The Random Forest Classifier is then utilized to classify the segmented water bodies into distinct categories, including rivers, ponds, lakes, canals, and other water bodies. Following the U-Net segmentation, the rasterized segments are converted into vector format. These vector data are leveraged to update Geographic Information System (GIS) maps, contributing to more accurate cartographic representations. The proposed approach is rigorously evaluated using a dataset from urban areas in Kolkata, West Bengal, India. The achieved accuracy rate stands at 67.01%.
Can mental health practice benefit from procedural justice theory? A critical analysis on the opportunities and pitfalls of procedural justice to address coercion and human rights issues in psychiatry
Authors: Lessard-Deschênes Clara , Pariseau-Legault Pierre , Goulet Marie-Hélène
Published: March 2024

The theory of procedural justice, derived from social psychology, is employed in numerous fields of study concerned with the quality of interactions involving individuals in positions of authority. Although this theory is increasingly cited for its potential to promote approaches aimed at mitigating the effects of psychiatric coercion and better respecting individuals' rights, empirical literature provides limited insights into how procedural justice could be translated into practice. It is important, therefore, to examine the theoretical and practical implications of such an orientation. Based on a critical analysis of existing literature, this article will discuss the potential contributions and limitations of procedural justice applied in the field of mental health and psychiatric nursing. Procedural justice has limitations regarding solutions for human rights violations in psychiatry. It nonetheless allows a focus on the quality of interactions with individuals in coercive contexts, in addition to considering the social and identity-related implications of psychiatric coercion.
Japanese Idiom Learning through Cognitive Linguistics Concept (Idioms Presentation)
Authors: Sutedi Dedi , Juangsih Juju , Rasiban Linna Meilia
Published: March 2024

Idioms in Japanese are crucial and intricate for pupils to acquire, as they necessitate rote memorization. Occasionally, the figurative interpretation of an idiom involving a Japanese language cannot be inferred from its literal definition. Consequently, pupils must commit them to memory without relying on any mnemonic devices. An effective approach to consider is the application of the principles utilized in cognitive linguistics. Specifically, this involves elucidating the connection between the literal meaning of words and their figurative meanings by examining three rhetorical devices: metaphor, metonymy, and synecdoche. The purpose of this is to offer further support to Japanese language students in comprehending the significance of each idiom they acquire. This study aims to implement a series of steps to teach 27 idioms in the Japanese language to fourth semester students. The objectives of this research are: (1) to describe the figures of speech present in each idiom used as teaching material; (2) to assess the learning outcomes of Japanese idioms after applying three figures of speech to connect the lexical and idiomatic meanings; and (3) to determine if there is a significant difference between the experimental class, where students were given explanations using the three figures of speech, and the control class, where students studied independently. The data analysis reveals that the connection between the literal meaning and figurative meaning of each idiom can be illustrated through the use of metaphor, metonymy, and synecdoche. Furthermore, the t-test analysis demonstrates a notable disparity between students who were taught idioms by utilizing associated figures of speech, as opposed to those who simply memorized them independently. Essentially, using figures of speech to illustrate connections between ideas is significantly more impactful than doing so without them. Moreover, acquiring idioms through this method is widely regarded as significantly more pleasurable and accessible for pupils to actively participate in.
Applicability of the Teetered Bed Separator for Beneficiating Indian Iron Ore Fines: An Experimental Study
Authors: Pradhan Biswakant , Behera Ipsita Dipamitra , Sahoo Kshetramohan , Mohanta Saytabrata
Published: March 2024

Higher alumina and lower iron content in Indian iron ore fines is a major problem for its effective utilization in the ironmaking process. India is the second largest steel producer in the world with an annual production of 200 million tons in the year 2020, whereas iron ore beneficiation of this country is highly derisory. Only 52 concentrators are required to produce 220 MTPA of iron ore. Most of the concentrator's benefits are limited to sizing and washing. In recent years, the Teetered Bed Separator (TBS) has gained significant importance and appeared as a viable option for beneficiating a variety of fine minerals. So, a systematic study has been carried out to verify the suitability of the TBS to reduce the alumina content and improve the iron grade in Indian iron ore fines. As the performance of gravity separation processes strongly depends on the feed particle size, a size-by-size beneficiation study was carried out to delineate the role of particle size on the performance of the TBS. Based on this study, the TBS is established to be a possible alternative to the other conventional equipment used for the beneficiation of iron ore fines.
Applications of Wireless Sensor Network for Displacement Monitoring in Opencast Coal Mine Slopes
Authors: Kumar M. Sathish , Karra Ram Chandar
Published: March 2024

Coal is the primary source of energy for the production of electricity as well as other industrial purposes. Despite being one of the largest coal producers in the world, India still imports coal to meet domestic demand. Coal is mainly extracted from opencast mines with high mechanization and deeper depths to meet the required coal demand. However, there are many problems with deeper opencast projects, like slope stability and its failure, which can be caused by slope geometry and rock properties. These failures result in equipment damage and human fatalities. It is necessary to monitor the stability of the slope to keep the working conditions safe. Traditional instrument techniques are currently deployed in opencast mines for regular slope monitoring. These traditional instruments usually rely on humans to collect and analyze data offline, which involves huge costs for manpower utilization. Moreover, it only works during daylight, and reliability is also not up to the mark. On the other hand, the latest instruments like Light Detection and Ranging (LiDAR) and Radio Detection and Ranging (RADAR) can efficiently monitor slope movements; those are more expensive and require highly skilled manpower. To eliminate this uncertainty and to obtain real-time data for studying the dynamic behavior of workings, Wireless Sensor Networks (WSN) are introduced. This study uses a node with a sensor and a receiver to collect data based on slope displacement measured in millimeters in a selected opencast mine. Data obtained using a WSN-based monitoring system was observed to be close to the existing total station monitoring method. ANSYS finite element-based numerical modeling software was used for simulating the field conditions and validated the results obtained by the WSN-based sensor's real-time monitoring and existing traditional field monitoring system.
Influence of Surface Finish on the Dry Sliding Wear and Electrochemical Corrosion Behaviour of 316L Stainless Steel
Authors: Chaudhary Abhishek , Baral Subrat Kumar , Tiwari Gaurav , B. Ratna Sunil  , Dumpala Ravikumar
Published: March 2024

316L stainless steel is known for its high corrosion resistance and extensively being used for biomedical implants and for the fabrication of the parts in nuclear reactors, and fuel cells. In the current study, 316L stainless steel samples were grounded using different grades of surface grits (400, 1200, and mirror-finished) by mechanical polishing, and influence of surface finish on the wear and corrosion characteristics was studied. The dry sliding wear experiments were carried out on ball-on-plate setup against hardened steel ball and the corresponding friction curves were obtained and specific wear rates were measured. The wear mechanisms were identified by examining the worn-out surface using scanning electron microscope and Raman spectrometer. It was evident that the formation and removal of iron oxides is the dominant mechanism for material loss from the samples during wear tests. The higher wear resistance of the mirror-finished sample was attributed to the formation of stable chromium oxide layer on the wear track. Potentiodynamic polarization tests were performed on the samples and better corrosion resistance was observed for the mirror-finished sample.
A Review on Thermal Modelling of Residual Stresses during Additive Manufacturing
Authors: N. Chethan Kumar  , Jhavar Suyog
Published: March 2024

Additive Manufacturing (AM) has received interest since it is simpler to manufacture complicated 3D component without the requirement for casting moulds than convective fabrication. AM has a lot of significance in fields like aerospace, medicine, and more to make parts of any kind of complex shape. Since the finished products are subjected to repeated cycles of heating and cooling, there will always be some residual stresses present in them. During layer-over-layer deposition, the large difference in temperature between the layers causes residual stresses, which hurt the performance of the products. As far as the author’s knowledge, there is no thorough review of the thermal modelling of residual stress in AM. In this review paper, the goal is to first get a good understanding of how residual stresses are developed, and then to look at how different models measure them. So, residual stresses can be seen as a key factor in controlling costs, performance, and quality standards of the finished component. This paper does a thorough review of the field to give engineers and researchers up-to-date information and advice about residual stresses.
A Comprehensive Study on the Effects of Surface Roughness on Power Consumption and Heat Transfer Performance in Novel In-Tube Condensation r123yf Refrigerant Systems
Authors: Muthuraju N. P. , Sadashive Gowda B. , Gurudatt H. M.
Published: March 2024

This study investigates the impact of surface roughness on the condensation Heat Transfer Coefficient (HTC) of R123yf refrigerant in a uniquely designed test rig with pre-condenser and post-condenser for quality regulation. In mining industries, the mining equipment consumes more amount to power for the Air Conditioning system. To reduce the power consumption of copper metal inside the surface morphology needs to be changed. Experiments were conducted in a 750 mm long, 8.4 mm internal diameter copper tube, with regard to mass flux varying from 150 kg.m-2.s-1 to 300 kg.m-2.s-1, refrigerant quality varying from 0.3 to 0.8, and saturated temperature from 35°C to 45°C. The impact of varying surface roughness (1.5 μm, 2.5μm, 3.4 μm, and 6.7 μm) on HTC was examined. The plane tube condensation experimental results agreed with M M Shah's heat transfer coefficient correlations, with a 20% absolute mean deviation. It was observed that increasing surface roughness enhanced the HTC. The optimal surface roughness was determined to be 3.4 μm, as it resulted in a significant increase in HTC (26.25%) with a moderate rise in power consumption (15.40%). Higher surface roughness led to a drastic increase in power consumption, making it less desirable for practical applications. Through a systematic analysis of the experimental data, this study identifies the critical trade-off between surface roughness and power consumption, providing guidance for the design of energy-efficient condensation heat transfer systems using R123yf refrigerant. By pinpointing an optimal surface roughness for copper tubes used in refrigeration, this study offers a pragmatic solution for enhancing the efficiency of air conditioning systems in mining equipment, a sector notorious for high energy expenditures. The findings indicate a direct application in mining operations where equipment cooling demands contribute significantly to energy consumption. Implementing the recommended surface modifications can lead to substantial energy savings, thereby reducing operational costs and improving the sustainability of mining activities. Furthermore, the adaptation of R123yf refrigerant systems with optimized surface roughness could serve as a model for energy conservation measures across various facets of the mining industry..
Tool Rotational and Tool Travel Parameters Influence On Friction Stir Welded Dissimilar Joints Properties
Authors: Chethan D. , Sathish Kumar K. M. , Sampath Kumar L. , Vijay Kumar S.
Published: March 2024

Present work is to examine the effects of tool rotational and tool travel parameters on Friction Stir Welded (FSW) dissimilar joints mechanical and microstructural characteristics for 3 mm thick pure copper and 6061 aluminium alloy plates. Welds were made with a cylindrical tapered pin to achieve this goal. The tool rotational speed and tool travel speed are the primary FSW factors considered in this study. Copper plates were kept on the joint's advancing side. Tensile and bending tests are carried out to assess the tensile and bending strength of weld joints in accordance with ASTM standards. Vicker's microhardness tests were carried out in the transverse direction of the weld to check the hardness distribution in weld nuggets. An experimental analysis shows that the best tensile strength 98 MPa and bending stress 16.6 MPa are achieved at tool rotating speeds of 1000 rpm and 62 mm/min, correspondingly. The larger concentration of copper particles in the aluminium region is mostly to blame for this. For 1400 rpm and 62 mm/min, a nugget zone hardness of 190 HV is attained. The presence of more Cu particles on the Al side is evident in SEM pictures, and the higher tensile and bending strength is mostly attributable to the Cu particles covering the Al material in the weld zone. According to X-ray analysis, the synthesis of intermetallic complexes such Al4Cu9, Al2Cu, AlCu, and AlCu4 explains the chemical reaction and phase transformation at the interfaces. The maximum strength values improved because of these intermetallic compounds' proper metallurgical bonding and thinnest thickness. According to fracture analysis, joints with higher strengths have intergranular fracture, while joints with lower strengths experience brittle fracture on both aluminium and copper joints.
Leisure Education Grounded in Social Justice: A Facilitation Technique that Contributes to Inclusive Leisure and Therapeutic Recreation
Authors: Dattilo John
Published: March 2024

Leisure education is an important area of service that encourages people to participate actively in physically, mentally, socially, and emotionally healthy activities. This educational approach empowers people to make decisions, discover new information and resources about leisure, and navigate through stressful transitions throughout their lives. The purpose of this paper is to clarify that leisure education is grounded on principles of social justice and facilitates two synergistic service contexts of inclusive leisure and therapeutic recreation (TR). To achieve this purpose, this paper contains supportive literature identifying that leisure education grounded in social justice principles is a facilitation technique used in providing inclusive leisure and TR services. Further, the literature presented in the paper provides a rationale for grounding leisure education in social justice to assist people in achieving goals of leisure associated with authenticity and self-determination, positive health and well-being, and flourishing. The paper increases understanding of leisure education and ways TR practitioners can use it to positively support people to live the lives they value. Therefore, this paper provides a unique contribution to the literature by identifying that social justice can be the basis for leisure education as a component of both TR and inclusive leisure services designed to help participants experience authenticity and self-determination culminating in leisure, positive health, well-being, and flourishing.
Critical Qualifications for Students Looking for an Internship in Therapeutic Recreation: Evaluated by Agency Supervisors and Academic Supervisors
Authors: Kim Kiboum , Coco-Ripp Jo Ann
Published: March 2024

This research study was conducted to ascertain what qualities agencies seek when selecting interns in relation to the qualities higher learning institutions stress. To date, academic and agency internship supervisors in Therapeutic Recreation (TR) have done no study to identify the critical attributes necessary for successful student internship placement. Because these attributes have not been identified, gaps exist between what agencies expect and what schools teach.

To fill these gaps, data collected from both agency and academic supervisors were analyzed using importance by performance analysis (IPA) techniques. The findings of the study showed that both commonalities and differences were present in the actual perception of importance between agency and academic internship supervisors. This study provided recommendations to practitioners, educators, and researchers based on the study findings.
Expression of the RPM1-RIN4-RPS2 complex in two citrus species with contrasting response to Huanglongbing
Authors: Mendoza-Pérez Eric Ángel , Santillán-Mendoza Ricardo , Estrella- Maldonado Humberto , Matilde-Hernández Cristian , Flores-de la Rosa Felipe Roberto , Adame-García Jacel
Published: March 2024

Objetive/Antecedents. Persian lime (Citrus latifolia) shows a very high level of tolerance to Huanglongbing (HLB). A recent study suggests that genes from the RPM1-RIN4-RPS2 complex could be partly responsible for HLB tolerance in Persian lime, unlike other highly susceptible species such as orange (C. sinensis). The objective of this study was to compare the expression of this gene complex between orange, highly susceptible to HLB, and Persian lime, a tolerant species. Materials and Methods. Sequences of the three genes of the complex for orange and Persian lime were obtained from databases of previously published works, alignments and primer design for gene expression were performed using various bioinformatics tools. Subsequently, tissue samples from symptomatic HLB-infected orange and Persian lime were obtained and infection was confirmed. The expression of the RPM1-RIN4-RPS2 genes was compared using endpoint RT-PCR. Results. The presence of all three genes of the complex was determined in both orange and Persian lime, and it was also determined that they are highly conserved between both species. Additionally, it was observed that there is no differential expression for the RPM1 gene in symptomatic HLB tissue; however, there is a difference in the expression of the RPS2 and RIN4 genes. Conclusion. The results suggest that the contrasting response to HLB could be associated with the activity of the interaction of the RIN4 and RPS2 genes, thus, this could be of interest for citrus genetic improvement aiming at HLB control.
Detection and molecular characterization of a 16SrII group phytoplasma associated with ‘witches broom’ disease in cactus (Opuntia sp.)
Authors: Ortega-Acosta Candelario , Rojas-Martínez Reyna Isabel , Ochoa-Martínez Daniel L. , Silva-Valenzuela Manuel
Published: March 2024

Objective/Background. Phytoplasmas are obligate plant pathogens that exhibit strong specificity with their hosts. Typical symptoms induced by these pathogens include stunted growth and general decline, among others, and they rarely lead to plant death. The aim of this research was to determine the phytoplasma associated with the ‘witch’s broom’ symptom in an ornamental cactus (Opuntia sp.). Materials and Methods. Four samples of ornamental cacti exhibiting ‘witch’s broom’ symptoms were collected from four commercial nurseries in Texcoco, State of Mexico. DNA extraction was performed on the samples, followed by PCR using specific primers for phytoplasmas (P1/P7 and R16F2n/R16R2). Phytoplasma determination was carried out through PCR, in vitro RFLP, sequencing, and phylogenetic analysis. Results. According to the various analyses conducted, it was determined that the phytoplasma associated with the ornamental cactus belongs to the subgroup 16SrII-C. Conclusion. Based on the obtained results, it is established that a phytoplasma from the 16SrII-C subgroup is associated with the ‘witch’s broom’ symptom in the ornamental cactus (Opuntia sp.).
Aquascaping: A Review
Authors: Anaswara S.J. , Rafeekher M. , Hasna P.M.
Published: March 2024

Aquascaping is the method of arranging aquatic plants, rocks, stones, cave work, driftwood etc. in an aesthetically pleasing manner within an aquarium. The new aquascaping style was pioneered by Mr. Takashiamano in 1900. Proper placement of various elements in an aquascape makes it more attractive to eyes. Some important elements for aquascaping are imagination, substrate, hardscape materials, water filters, fishes etc. Proper plant selection makes aquascapes more attractive. Aquascaping styles like dutch style, jungle style, iwagumi style, nature aquarium style, biotope style, paludariums etc. are widely used today. Proper maintenance of aquascape is very important as failure of appropriate lighting, carbon dioxide supplements, temperature etc. can totally destroy the system. There is a need to boost aquascaping industry and related industries in India as there is a growing demand in the domestic as well as international market.
Citrus Black Spot Disease in Ghana: A Review on Impacts, Management Options and Current Status
Authors: Akpatsu Isaac Boatey , Jizorkuwie Abdul-Latif Baamonyor
Published: March 2024

Citrus is one of the most common seasonal fruit crops cultivated across most semi-deciduous forest zones across the globe. Apart from its refreshing nature when consumed in a fresh state, it is also packed with an abundant supply of vitamins A, B and C. Apart from being served in the raw state as a fruit or a dessert, it also serves as a critical raw material for the beverage industry. In some instances, it also serves as a very important material for the pharmaceutical industry. As important as this fruit can be, its production is challenged by the incidence of pests and diseases. One of the major diseases facing the industry is the Citrus Black Spot (CBS), caused by Phyllosticta citricarpa. In Ghana, CBS is known to affect almost all citrus species and varieties in commercial groves, except for sour orange (C. aurantium) and its hybrids and Tahiti lime (C. latifolia). It is estimated to be responsible for about 22% of fruit/yield loss annually. This review highlighted the impact on the citrus production industry in Ghana, the management options available and future perspectives.
Geographical Distribution and Molecular Characterization of Begomovirus Infecting Soybean [Glycine max (L.) Merr.] in Northern Hills and North Western Plains of India
Authors: Aravind T. , Singh K.P. , Surbhi Kumari , Bhatt Pooja , Aravind Shivani , Jeena Himani
Published: March 2024

Background: Yellow mosaic disease (YMD) is one of the most severe and widespread constraint for the cultivation of soybean. Given that no comprehensive data on the status of soybean yellow mosaic disease in Northern Hills and North Western Plains of India is present, a detailed investigation was undertaken for three years to study the prevalence of the disease in the region and to characterize the pathogen. Methods: Towards Kharif end, a three year (2018-2020) farmer field survey (76 villages) was carried out to assess the YMD distribution in the major soybean growing areas Northern Hills and North Western Plains of India. The variability of yellow mosaic virus associated with YMD of soybean was studied based on molecular characterization of partial DNA-A coat protein gene and DNA-B movement protein with subsequent nucleotide sequencing and phylogenetic tree construction. Result: The results revealed that YMD is prevalent in the plains, whereas the disease was undetectable in the Hills. In the plains, the mean disease incidence ranged from 25.40% in 2019 to 16.78% in 2020. Moreover, disease incidence (r = -0.748) had negative and significant (p less than 0.0001) correlation with altitude. The phylogenetic studies revealed that the virus inciting the yellow mosaic in soybean in Tarai region had closest relationship with Mungbean yellow mosaic India virus (MYMIV). It shared more than 96 per cent sequence identity with other MYMIV isolates reported earlier within the country and abroad and hence, was designated as an isolate of MYMIV.
Solo na Educação Básica: proposta voltada ao ensino significativo no contexto da pedologia na Geografia Escolar
Authors: Diniz dos Santos Inalda , Oliveira Jorge Maria do Carmo , Teixeira Guerra Antonio José , Da Paixão Marques Filho Jorge
Published: March 2024

Este artigo tem como objetivo apresentar o estudo de temas da geomorfologia, no contexto da Geografia Escolar. A proposta é utilizar o solo, que é um assunto abordado na Geografia escolar, como possibilidades de desenvolver um ensino significativo, visando o protagonismo dos alunos. A pesquisa foi realizada em seis escolas estaduais, localizadas na região Norte do Município de Niterói. A base teórica para compreender o ensino significativo é a Teoria da Aprendizagem Significativa. Para atingir esses objetivos, são utilizadas pesquisas nos livros didáticos de Geografia, usados nas escolas e aplicação de atividades com as turmas de 6º ano do Ensino Fundamental II e 1º do Ensino Médio.
Nilotinib Exerts a Therapeutic Approach via JAK/STAT Pathway and Cytokine Network in Chronic Myeloid Leukemia Cells
Authors: TEZCANLI KAYMAZ Burçin , YAVUZ Tunzala , ÇELİK Besne , SABOUR TAKANLOU Leila , ALÇITEPE İlayda , SABOUR TAKANLOU Maryam , AVCI Çığır , SELVİ GÜNEL Nur , SOYER Nur , ŞAHİN Fahri , SAYDAM Güray
Published: March 2024

Aim: Chronic myeloid leukemia (CML) displays a constitutive tyrosine kinase (TK) activity which in turn leads to the activation of various signaling pathways and the outcome of leukemic phenotype. Activated STAT5A and STAT5B from JAK/STAT pathway induce cell growth, proliferation, differentiation, and survival of leukemic cells which are promoted by a cytokine network. Since the second-generation tyrosine kinase inhibitor nilotinib has the advantage of inhibiting this oncogenic TK activity; we aimed to investigate the underlying mechanism of its therapeutic approach and how it induced apoptosis via analyzing the forthcoming molecular targets of the pathway.

Methods: By Nilotinib treatments, cell viability and proliferation assays, apoptotic analysis, expressional regulations of STAT5A&5B mRNA transcripts, protein expression levels, and also cytokines’ expressional assessments were determined in CML model K562 cells, in vitro.

Results: Nilotinib treatment in a time and dose-dependent manner assessed a therapeutic approach by decreasing leukemic cell proliferation and survival; inducing leukemic cell apoptosis, down-regulating STAT5A&5B mRNA, and protein expression levels, and regulating cytokine expressional network.

Conclusion: Nilotinib-mediated therapeutics could be dependent on targeting JAK/STAT pathway members STAT5A and STAT5B, besides; regulating the cytokine network might be another underlying mechanism for sensitization and response of K562 cells to nilotinib in leukemia pathogenesis.
Hubungan Status Gizi, Konsumsi Junk Food, dan Kebiasaan Berolahraga Remaja Perempuan di Jakarta dengan Kejadian Dismenorea Primer
Authors: Primalova Ariela , Stefani Megah
Published: March 2024

Latar Belakang: Setiap satu dari enam orang di dunia adalah remaja, dan sebanyak 85% remaja tinggal di negara maju, yang seringkali mengalami gangguan menstruasi seperti dismenorea primer. Dismenorea primer adalah nyeri menstruasi tanpa adanya kondisi patologis di panggul yang seringkali terjadi pada usia muda/remaja yang dipicu oleh berbagai faktor contohnya status gizi, pola makan, kebiasaan berolahraga, dan stres.
Tujuan: Untuk menganalisis hubungan status gizi (IMT/U), konsumsi junk food, dan kebiasaan berolahraga remaja perempuan di Jakarta dengan kejadian dismenorea primer.
Metode: Penelitian ini menggunakan desain cross-sectional, populasi penelitian ini yaitu seluruh siswi kelas 11 di Jakarta (Jakarta Timur, Jakarta Selatan, Jakarta Barat, Jakarta Pusat, Jakarta Utara). Teknik sampling yang digunakan adalah purposive sampling. Instrumen yang digunakan yaitu kuesioner mengenai status gizi, kebiasaan berolahraga dan pola konsumsi junk food yang dinilai menggunakan Food Frequency Questionnaire (FFQ) melalui Google Forms.
Hasil: Hasil penelitian menunjukkan adanya hubungan yang signifikan antara status gizi (p = 0,022), konsumsi junk food (p = 0,000), dan kebiasaan berolahraga (p = 0,000) dengan kejadian dismenorea primer.
Kesimpulan: Terdapat hubungan antara status gizi, konsumsi junk food, dan kebiasaan berolahraga terhadap kejadian dismenorea primer pada remaja perempuan di Jakarta. Diperlukan penelitian lebih lanjut terhadap hubungan antara status gizi, konsumsi junk food dan kebiasaan berolahraga dengan kejadian dismenorea primer pada golongan usia lainnya, dan dengan metode yang berbeda untuk memperluas pengetahuan terkait faktor-faktor yang menyebabkan terjadinya dismenorea primer.
Restriction of Rice Portion and Pre-Meal Fruit with HbA1c Levels and Abdominal Fat for Diabetics in Malang City
Authors: Dwipajati Dwipajati , Kaswari Sutomo Rum Teguh
Published: March 2024

Background: Glycemic control is the basic for managing diabetes to prevent chronic complications in diabetes. HbaA1c levels reaching <= 7% is one indicator of achieving good glycemic control. The 3 J principles (right type, amount, and schedule) in the pillars of meal management are not easy to apply, causing diabetes to have difficulty achieving glycemic targets. Objectives: Analyzing rice restriction portion and pre-meal fruit with HbA1c levels and abdominal fat in people with diabetes in Malang City Methods: Experimental study type 'randomized controlled trial' with pre-posttest control group design involved 16 people with diabetes who were active in Prolanis activities at the Malang city health center. Respondents were randomly divided into 2 groups. HbA1c levels were taken 2 times, before and after the intervention. The t test and paired t test with a p value <0.05 were used to test the effect of the intervention on HbA1c levels, abdominal fat and abdominal circumference in people with diabetes for 3 months. Results: Both forms of intervention can reduce HbA1c levels in diabetic patients. Limiting the portion of rice significantly reduced HbA1c levels (p=0.003) and visceral fat levels. However, determining the amount of rice with added pre-meal fruit did not considerably decrease visceral fat and abdominal circumference (p>0.05). Conclusions: Limiting the portion of rice eaten by itself or combining it with pre-meal fruit may help diabetics lower their HbA1c levels. Many fruit varieties can be defined as being suitable for diabetics to eat before meals based on their physiological properties and glycemic index. Keywords: HbA1c Level, Pre-meal fruit, , Rice Portion Restriction