bluuebunny/crossref_metadata_2025 huggingface dataset:
Modification and Evaluation of Attention-Based Deep Neural Network for Structural Crack Detection
Authors: Yuan Hangming , Jin Tao , Ye Xiaowei
Published: July 2023

Cracks are one of the safety-evaluation indicators for structures, providing a maintenance basis for the health and safety of structures in service. Most structural inspections rely on visual observation, while bridges rely on traditional methods such as bridge inspection vehicles, which are inefficient and pose safety risks. To alleviate the problem of low efficiency and the high cost of structural health monitoring, deep learning, as a new technology, is increasingly being applied to crack detection and recognition. Focusing on this, the current paper proposes an improved model based on the attention mechanism and the U-Net network for crack-identification research. First, the training results of the two original models, U-Net and lrassp, were compared in the experiment. The results showed that U-Net performed better than lrassp according to various indicators. Therefore, we improved the U-Net network with the attention mechanism. After experimenting with the improved network, we found that the proposed ECA-UNet network increased the Intersection over Union (IOU) and recall indicators compared to the original U-Net network by 0.016 and 0.131, respectively. In practical large-scale structural crack recognition, the proposed model had better recognition performance than the other two models, with almost no errors in identifying noise under the premise of accurately identifying cracks, demonstrating a stronger capacity for crack recognition.
Vision-Based In-Flight Collision Avoidance Control Based on Background Subtraction Using Embedded System
Authors: Park Jeonghwan , Choi Andrew Jaeyong
Published: July 2023

The development of high-performance, low-cost unmanned aerial vehicles paired with rapid progress in vision-based perception systems herald a new era of autonomous flight systems with mission-ready capabilities. One of the key features of an autonomous UAV is a robust mid-air collision avoidance strategy. This paper proposes a vision-based in-flight collision avoidance system based on background subtraction using an embedded computing system for unmanned aerial vehicles (UAVs). The pipeline of proposed in-flight collision avoidance system is as follows: (i) subtract dynamic background subtraction to remove it and to detect moving objects, (ii) denoise using morphology and binarization methods, (iii) cluster the moving objects and remove noise blobs, using Euclidean clustering, (iv) distinguish independent objects and track the movement using the Kalman filter, and (v) avoid collision, using the proposed decision-making techniques. This work focuses on the design and the demonstration of a vision-based fast-moving object detection and tracking system with decision-making capabilities to perform evasive maneuvers to replace a high-vision system such as event camera. The novelty of our method lies in the motion-compensating moving object detection framework, which accomplishes the task with background subtraction via a two-dimensional transformation approximation. Clustering and tracking algorithms process detection data to track independent objects, and stereo-camera-based distance estimation is conducted to estimate the three-dimensional trajectory, which is then used during decision-making procedures. The examination of the system is conducted with a test quadrotor UAV, and appropriate algorithm parameters for various requirements are deduced.
Crop Identification Using Deep Learning on LUCAS Crop Cover Photos
Authors: Yordanov Momchil , d’Andrimont Raphaël , Martinez-Sanchez Laura , Lemoine Guido , Fasbender Dominique , van der Velde Marijn
Published: July 2023

Massive and high-quality in situ data are essential for Earth-observation-based agricultural monitoring. However, field surveying requires considerable organizational effort and money. Using computer vision to recognize crop types on geo-tagged photos could be a game changer allowing for the provision of timely and accurate crop-specific information. This study presents the first use of the largest multi-year set of labelled close-up in situ photos systematically collected across the European Union from the Land Use Cover Area frame Survey (LUCAS). Benefiting from this unique in situ dataset, this study aims to benchmark and test computer vision models to recognize major crops on close-up photos statistically distributed spatially and through time between 2006 and 2018 in a practical agricultural policy relevant context. The methodology makes use of crop calendars from various sources to ascertain the mature stage of the crop, of an extensive paradigm for the hyper-parameterization of MobileNet from random parameter initialization, and of various techniques from information theory in order to carry out more accurate post-processing filtering on results. The work has produced a dataset of 169,460 images of mature crops for the 12 classes, out of which 15,876 were manually selected as representing a clean sample without any foreign objects or unfavorable conditions. The best-performing model achieved a macro F1 (M-F1) of 0.75 on an imbalanced test dataset of 8642 photos. Using metrics from information theory, namely the equivalence reference probability, resulted in an increase of 6%. The most unfavorable conditions for taking such images, across all crop classes, were found to be too early or late in the season. The proposed methodology shows the possibility of using minimal auxiliary data outside the images themselves in order to achieve an M-F1 of 0.82 for labelling between 12 major European crops.
Mach–Zehnder Modulators for Microwave Polarization Measurement in Astronomy Applications
Authors: Casas Francisco J. , Pascual-Cisneros Guillermo
Published: July 2023

This paper presents a study of the performances of different Mach–Zehnder modulation technologies with applications in microwave polarimeters based on a near-infrared (NIR) frequency up-conversion stage, allowing for optical correlation and signal detection at a wavelength of 1550 nm. Commercial Mach–Zehnder modulators (MZMs) are traditionally implemented using LiNbO3 technology, which does not enable integration for the fabrication of MZMs. In this work, we propose the use of an alternative technology based on InP, which allows for integration in the fabrication process. In this way, it is possible to obtain advantages in terms of bandwidth, cost, and size reductions, which yield results that are very interesting for wide-band applications such as microwave instrumentation for the study of the cosmic microwave background (CMB). Here, we describe and compare the modulation performances of different MZMs, with one commercial unit presenting a higher bandwidth than those in previous works, and another three InP integrated units provided by the Fraunhofer Institute for Telecommunications, Heinrich-Hertz-Institute (HHI). Then, these modulators were coupled to a microwave polarimeter demonstrator, which has also been presented previously, to compare the polarization measurement performances of each of the MZMs.
Familiarization with Mixed Reality for Individuals with Autism Spectrum Disorder: An Eye Tracking Study
Authors: Leharanger Maxime , Rodriguez Martinez Eder Alejandro , Balédent Olivier , Vandromme Luc
Published: July 2023

Mixed Reality (MR) technology is experiencing significant growth in the industrial and healthcare sectors. The headset HoloLens 2 displays virtual objects (in the form of holograms) in the user’s environment in real-time. Individuals with Autism Spectrum Disorder (ASD) exhibit, according to the DSM-5, persistent deficits in communication and social interaction, as well as a different sensitivity compared to neurotypical (NT) individuals. This study aims to propose a method for familiarizing eleven individuals with severe ASD with the HoloLens 2 headset and the use of MR technology through a tutorial. The secondary objective is to obtain quantitative learning indicators in MR, such as execution speed and eye tracking (ET), by comparing individuals with ASD to neurotypical individuals. We observed that 81.81% of individuals with ASD successfully familiarized themselves with MR after several sessions. Furthermore, the visual activity of individuals with ASD did not differ from that of neurotypical individuals when they successfully familiarized themselves. This study thus offers new perspectives on skill acquisition indicators useful for supporting neurodevelopmental disorders. It contributes to a better understanding of the neural mechanisms underlying learning in MR for individuals with ASD.
Hash and Physical Unclonable Function (PUF)-Based Mutual Authentication Mechanism
Authors: Bhatia Kavita , Pandey Santosh K. , Singh Vivek K. , Gupta Deena Nath
Published: July 2023

The security of web applications in an enterprise is of paramount importance. To strengthen the security of applications, the identification and mitigation of vulnerabilities through appropriate countermeasures becomes imperative. The Open Web Application Security Project (OWASP) Top 10 API Security Risks, 2023 Edition, indicates the prominent vulnerabilities of API security risks. Broken authentication, however, is placed in second position with level-3 exploitability, level-2 prevalence, level-3 detectability, and level-3 technical impact. To mitigate this vulnerability, many mitigation strategies have been proposed by using the cryptographic primitives wherein two techniques, namely hashing and PUF, are used. Some of the proposals have integrated the concepts of hashing and PUF. However, the unnecessarily lengthy and complex mathematics used in these proposals makes them unsuitable for current API-based application scenarios. Therefore, in this paper, the authors propose a privacy-preserving authentication protocol that incorporates the capability of both mechanisms in an easy and low-complexity manner. In addition to overcoming existing limitations, the proposed protocol is tested to provide more security properties over existing schemes. Analysis of their performance has demonstrated that the proposed solutions are secure, efficient, practical, and effective for API-based web applications in an enterprise environment.
A New Method for Erosion Prediction of 90° Elbow Based on Non-Axisymmetric Ultrasonic-Guided Wave and the PSO–LSSVM Algorithm
Authors: Wang Zhaokun , Zhou Sizhu , Li Ning , Zeng Yun , Li Gui
Published: July 2023

The non-axisymmetric exciting guided wave can detect the thinning section of the elbow, and the time domain energy value of the signal collected at the outer arch position of the receiving end displays a downward trend as the remaining thickness of the erosion area decreases. To address the difficulty in detecting the erosion degree of the elbow with high accuracy, this paper uses the linear frequency modulation (LFM) signal to excite a non-axisymmetric guided wave that propagates in the 90° elbow and collects signals through four PZT receivers. To predict the erosion degree, the corresponding relationship between the energy value of the four signals after fractional Fourier filtering and the degree of elbow erosion is established through the particle swarm optimization (PSO)–least squares support vector machine (LSSVM) algorithm. The results show that the method proposed has an average accuracy rate of 98.1864%, 94.7167%, 99.119%, and 99.9593% for predicting the erosion degree of four elbow samples, and 94.0039%. and 81.2976% for two new erosion degrees, which are higher than the nonlinear regression model, LSSVM algorithm, and BP neural network algorithm. This study has guiding significance for real-time monitoring of elbow erosion.
Study on the Interaction Behaviors Identification of Construction Workers Based on ST-GCN and YOLO
Authors: Li Peilin , Wu Fan , Xue Shuhua , Guo Liangjie
Published: July 2023

The construction industry is accident-prone, and unsafe behaviors of construction workers have been identified as a leading cause of accidents. One important countermeasure to prevent accidents is monitoring and managing those unsafe behaviors. The most popular way of detecting and identifying workers’ unsafe behaviors is the computer vision-based intelligent monitoring system. However, most of the existing research or products focused only on the workers’ behaviors (i.e., motions) recognition, limited studies considered the interaction between man-machine, man-material or man-environments. Those interactions are very important for judging whether the workers’ behaviors are safe or not, from the standpoint of safety management. This study aims to develop a new method of identifying construction workers’ unsafe behaviors, i.e., unsafe interaction between man-machine/material, based on ST-GCN (Spatial Temporal Graph Convolutional Networks) and YOLO (You Only Look Once), which could provide more direct and valuable information for safety management. In this study, two trained YOLO-based models were, respectively, used to detect safety signs in the workplace, and objects that interacted with workers. Then, an ST-GCN model was trained to detect and identify workers’ behaviors. Lastly, a decision algorithm was developed considering interactions between man-machine/material, based on YOLO and ST-GCN results. Results show good performance of the developed method, compared to only using ST-GCN, the accuracy was significantly improved from 51.79% to 85.71%, 61.61% to 99.11%, and 58.04% to 100.00%, respectively, in the identification of the following three kinds of behaviors, throwing (throwing hammer, throwing bottle), operating (turning on switch, putting bottle), and crossing (crossing railing and crossing obstacle). The findings of the study have some practical implications for safety management, especially workers’ behavior monitoring and management.
Prospects for the industrial development of the stocks of the Artemia parthenogenetica Barigozzi, 1974 (Branchiopoda, Anostraca) cysts in the Kara-Bogaz-Gol Bay (the Caspian sea)
Authors:   International Institute for Modeling and Forecasting the Development of Marine and Hypersaline Ecosystems LLC, Russia, Klin, Bulatov S.A.
Published: July 2023

The Kara-Bogaz-Gol Bay has a high natural potential for cysts of the brine shrimp Artemia parthenogenetica, which can be used in various areas of the national economy. Commercial fishing of the Artemia population of Kara-Bogaz- Gol Bay began in the mid-1990s. As a result, a new potential of the bioresource of cysts on the international market was discovered. Since 2000, there has been a sharp decline in the breeding stock of the Artemia population in the Kara-Bogaz- Gol Bay. By 2002, commercial fishing of Artemia cysts in Kara-Bogaz-Gol Bay was stopped, due to the fact that the brine shrimp population was in a depressed. The main reason was the increase in the salinity of the Kara-Bogaz-Gol Bay due to the accumulation of brine in the strait connecting the Caspian Sea with bay, which prevented the flow of Caspian water into the bay, in volumes sufficient to maintain the salt balance in the Kara-Bogaz-Gol Bay at the optimal level for the development of the Artemia population. Since 2020, there has been a decrease in the level of the Kara-Bogaz-Gol Bay, which continues at the present time. Satellite data show that there are minor accumulations of algae and Artemia cysts in the bay. Minor accumulations of brine shrimp cysts in the bay can be used as a starting potential necessary for inoculation work, after resolving the issue of maintaining the salt balance in the reservoir at a level sufficient for the development of the nutrition of Artemia and its reproduction in natural conditions. To revive the Artemia cysts fishery, a set of measures aimed at improving the hydrological and ecological regimes of the bay has been proposed.
Nutritional value of black solder fly (Hermetia illucens Linnaeus, 1758) larvae reared on fermented milk industry waste as an ingredient of fish feed
Authors:   Institute of Biomedical Chemistry, Russia, Moscow, Mikhailova M.V. , Zolotarev K.V. ,   Institute of Biomedical Chemistry, Russia, Moscow, Nakhod V.I. ,   Institute of Biomedical Chemistry, Russia, Moscow, Mikhailov A.N. ,   Institute of Biomedical Chemistry, Russia, Moscow
Published: July 2023

Black soldier fly larvae are omnivorous and have high activity of amylases, lipases and proteases in their gastrointestinal tract, so they are of interest concerning the processing of various organic industrial and agricultural wastes into biomass suitable for feeding farm animals. Black soldier fly larvae are a new protein-lipid component that seems quite promising for inclusion in the diet of fish, since its cultivation allows processing waste from various industries and agriculture. The protein obtained from black soldier fly larvae has been approved for use as a component of the feed ration for farm animals in the European Union, but the possibility of using black soldier fly larvae in aquaculture has not been fully studied and requires studying of a number of issues. In this study, the nutritional value of larvae grown using fermented milk waste was assessed by the content of fat, protein, moisture, macronutrients (K, Ca, Mg) and micronutrients (Fe, Cu, Mn, Zn, Co, Se), as well as amino acid composition. The content of fat, protein and water was estimated by the extraction/gravimetric method. The content of macro— and micronutrients was measured by inductively coupled plasma mass spectrometry (ICPMS). The amino acid composition was determined by a high performance liquid chromatography (HPLC) method adapted to this task. Chemical analysis showed that the larvae are generally of nutritional value, but additional data on fatty acid analysis and vitamin content are required. In addition, it is necessary to test the feed on fish of various species and ages in order, in particular, to evaluate the effect of the studied component on the palatability of the feed, as well as the digestibility of the chitinous cover of the insect.
La retroalimentación como estrategia para mejorar el proceso formativo del estudiante
Authors: Tamayo Mendoza Ruth Mercedes , Menacho Rivera Alejandro Sabino , Hinojo Jacinto Guillermina Norberta
Published: July 2023

Ante las deficiencias encontradas en las evaluaciones a los estudiantes y el prejuicio que estos tienen respecto a las mismas, muchas instituciones han visto la retroalimentación formativa como una estrategia para mejorar el desarrollo formativo del estudiante, asegurando el seguimiento y mejora constante. El objetivo de este estudio es evaluar el impacto de la retroalimentación en la formación de los estudiantes a través de una revisión sistemática. La metodología empleada fue la revisión sistemática para ello, fueron seleccionado los artículos relevantes, la síntesis de la información, luego fueron agrupados por semejanza y la identificación de variables o factores asociados al tema. Se seleccionaron 30 artículos afines al objetivo. La evaluación determinó que la retroalimentación formativa tiene impactos positivos en el proceso formativo del estudiante. Por lo tanto, se recomienda su uso como parte esencial de la enseñanza y el aprendizaje según los estudios analizados del resultado de la busqueda.
Compte rendu ornithologique camarguais pour les années 1990-1994
Authors: Thibault Marc , Kayser Yves , Tamisier Alain , Sadoul Nicolas , Cherain Yves , Hafner Heinz , Johnson Alain , Isenmann Paul
Published: July 2023

The present ornithological report for the Camargue covers five years (1990-1994). This time-period was characterised by mild winters, high yearly rainfall in 1990, 1993 and 1994 and a sharp drop of salinity in the Vaccarès.

The Little Egret and the Cattle Egret have increased their breeding figures that might be related to some mild winters and good breeeding success. The Black-crowned Night Heron was still at a low level. With about 1500 breeding pairs, the Grey Heron has nearly tripled its numbers since 1981, whereas the Purple Heron has continued to decline.

The following species have become new breeders : White Stork, Great Egret, Glossy Ibis, Mute Swan, Greylag Goose and Common Buzzard. Some others have become rare breeders : Collared Pratincole, Stone-curlew, Eurasian Scops Owl, Little Owl and Com Bunting. These species have been threatened by habitat alterations to their breeding grounds or along their migration routes and wintering quarters.

There is a concern about the breeding of gulls, terns and waders in the two salines of Camargue. While the number of breeding islets has remained un¬ changed, most of them are now colonised by the Yellow-legged Gull. This has led to dramatic population shifts of the smaller species from one saline (Salin de Giraud) to the other (Aigues-Mortes). At the latter site, the smaller species have, moreover, adopted nest sites with low breeding success. Thus, the survival of several species is guaranteed by immigration movements from abroad. The Black-headed Gull has continued to decline, but the Slender-billed Gull, the Mediterranean Gull and the Sandwich Tern has increased and other species have remained more or less stable. The trend of all these species should be followed with great care and the carrying capacity of the two salines must be urgently enhanced.

A few individuals of some trans-Saharan migrants have overwintered (Black-crowned Night Heron, Squacco Heron, Glossy Ibis, Black-winged Stilt, Common Tern, Whiskered Tern, Wryneck and Yellow Wagtail) or have increasingly overwintered (Ringed Plover and Kentish Plover). The recent mild winters may have favoured this trend. Two other species (Cetti’s Warbler and Fantailed Warbler) have increased their breeding numbers probably for the same reason.

The Purple Swamphen and the Spotless Starling are expected to become new breeders in a near future. The Common Crane and the Greylag Goose have increased their wintering numbers. The Camargue still remains a good breeding area for the Mallard but the Gadwall did not progress. The Common Pochard is still absent as a breeder. Among the Anatidae, only the Greylag Goose and the Mute Swan have increased as breeders. The high hunting pressure is suspected to be the major factor that limits the overall carrying capacity of the Camargue for wintering ducks and coots. A concern for wildlife conservationists and for hunters.
Use of Demonstration Gardens in Extension: Challenges and Benefits
Authors: Glen Charlotte , Moore Gary , Jayaratne KSU , Bradley Lucy
Published: July 2023

Extension agents' use of demonstration gardens was studied to determine how gardens are employed in horticultural programming, perceived benefits and challenges of using gardens for Extension programming, and desired competencies. Gardens are primarily used to enhance educational efforts by providing hands-on learning experiences. Greatest perceived benefits of gardens were their effectiveness as an educational delivery method, as well as their ability to provide opportunities for meaningful volunteer service and facilitate the development of partnerships. Greatest perceived challenges were availability of time, money, and volunteer support. Findings support the use of gardens as an appropriate educational strategy for Extension programming.
Google Earth: Low-Investment GIS for Extension Professionals
Authors: Huff Tristan
Published: July 2023

Extension professionals need geospatial and remote sensing solutions that meet their varied needs; however, training time and funding for expensive software packages can be limited. Google Earth is a freely available, user-friendly GIS that can meet many of the day-to-day needs of Extension professionals by providing high-quality current and historical aerial photography, length and area measurement tools, GPS integration, and simple mapping capabilities. Third-party add-ons can increase the somewhat limited capabilities of Google Earth. Google Earth's general accessibility also lends itself to innovative, collaborative uses with clients, youth, and the general public.
Emulation of Brain Metabolic Activities Based on a Dynamically Controllable Optical Phantom
Authors: Lin Yuxiang , Chen Cheng , Ma Zhouchen , Sabor Nabil , Wei Yanyan , Zhang Tianhong , Sawan Mohamad , Wang Guoxing , Zhao Jian
Published: July 2023

This paper presents a dynamic optical phantom for the simulation of metabolic activities in the brain, and a linear equivalent model is built for control voltage versus substance concentration. A solid–solid dynamic optical phantom is realized by using liquid crystal film as a voltage-controlled light intensity regulator on the surface of basic phantom, which uses epoxy resin as matrix material and nanometer carbon powder and titanium dioxide powder as absorption and scattering dopants, respectively. The dynamic phantom could mimic near-infrared spectrum (NIRS) signals with sampling rate up to 10 Hz, and the maximum simulation errors for oxy-hemoglobin and deoxy-hemoglobin concentrations varying in the range of 1 μmol/l are 7.0% and 17.9%, respectively. Compared with similar solid biomimetic phantoms, the adjustable mimic substance concentration range is extended by an order of magnitude, which meets the simulation requirements of most brain NIRS signals.
الحماية الجنائية للشهادات العلمية في القانون الإماراتي
Authors: منجد منال
Published: July 2023

تحظى الشهادة العلمية في وقتنا الراهن بمكانةٍ كبيرة، حيث تعد المؤشر على مستوى التحصيل الدراسي للإنسان، والمعيار الذي يتم على أساسه التعيين في الوظائف، كما أصبحت تعطي انطباعاً أولياً عن أصحابها، فأصبح حاملي بعض الشهادات العلمية ولاسيما العليا منها يتمتعون بالاحترام والتقدير لمجرد اقتران أسمائهم باللقب الذي تمنحه الشهادة العلمية. وقد ترتب على هذه المكانة التي حظيت بها الشهادة العلمية أثر مزدوج، فمن جهة شجعت البعض على متابعة التحصيل العلمي من أجل الحصول على أعلى الشهادات العلمية وما يرتبط بها من مزايا أدبية ومادية، و من جهة ثانية دفعت البعض إلى السعي وراء الحصول على الشهادات العلمية بأية طريقة وبأي ثمن بغرض الاستفادة من تلك المزايا، وهو ما أدى إلى ظهور جامعات غير مرخصة و جامعات وهمية ليس لها وجود حقيقي على أرض الواقع تمنح الشهادات العلمية بأعلى الدرجات مقابل مبالغ مالية، وطبعاً هناك من تناسبه هذه الجامعات حيث يدفع المال ليحصل على شهادة تشبه إلى حد كبير- من حيث الشكل فقط - الشهادات التي تمنحها الجامعات الحقيقية دون أدنى جهد أو تعب.

     وقد تنبه المشرع الجزائي في دولة الإمارات العربية المتحدة إلى خطورة هذه الظاهرة ولا سيما أن دولة الإمارات تعد من جهات العمل الجاذبة، فقام بإصدار المرسوم بقانون رقم (9) لعام 2021 في شأن "حظر استخدام الشهادات العلمية الصادرة من جهات غير مرخص لها".

     تهدف هذه الدراسة إلى التعريف بهذه الظاهرة وإلقاء الضوء على أحكام المرسوم بقانون رقم (9) لعام 2021 المشار إليه آنفاً للوقوف على مدى كفايتها في مواجهة الشهادات العلمية المشبوهة.
O PROCESSO TRANSFORMADOR DO COACHING COMO FONTE DE PERSPECTIVA PARA A TERCEIRA IDADE
Authors: MONTGOMERY VIDAL ROCHA GERMANO
Published: July 2023

Quantity and average life span are facing effective growth boundaries and, seeking new knowledge about the reasons that contribute to a sublime quality of life of the elderly in Brazil is fundamental. of life of the elderly in Brazil is fundamental.In this scenario, there is a differentiated view to see people and the world around them. The purpose of this article is to reflect on the importance of coaching for the elderly population, in order to ensure the continuity of the personal and professional personal and professional development of this age group. The methodological procedure adhered to for this reflection was bibliographical research, contextualizing existing studies and concatenating them with the proposed objectives, by focusing essentially on the authors Eder Lima (2016), José Roberto Marques (2015, 2016, 2017), Sulivan França (2017), João Alberto Catalão and Ana Teresa Penim (2013). It is concluded that coaching acts as an ally of the best age, probing age, probing potentialities and pretensions, through the knowledge of oneself and the own characteristics of the elderly.
Analisis Teknis dan Produktivitas Alat Tangkap Bubu Lipat di Kelurahan Pasar Bengkulu Kecamatan Sungai Serut Kota Bengkulu
Authors: Nabiu Nur Lina Maratana , Zamdial Zamdial , Yosandri Albi , Hanibal Larzon
Published: July 2023

The Bengkulu City area with a large capture fishery activity is in the Sungai Serut District, precisely in the Pasar Bengkulu Village. Bubu Lipat is a fishing gear that is categorized into traps that are operated passively using bait. This research aims to analyze the technical and productivity of fishing gear used by fishermen in Pasar Bengkulu. It is expected to provide information, descriptions, and explanations about the development of traps to the government and related stakeholders for trap management in Pasar Bengkulu. The scope of the research data includes primary and secondary data, fishing gear construction, and catch productivity. Data collection was carried out through field observations, interviews, and documentation. The researchers conclude that the productivity of a trap per year is 1500 kilograms, and the productivity per trip is 30 kilograms. The catch of trap consists of two types, Keong Macan (Babylonia spirata) and Rajungan (Portunus pelagicus), and fishing vessels used by trap fishermen at the Pasar Bengkulu have two sizes, 1 and 2 GT with respective endurance of 10.5 PK and 26 PK. It is necessary to research the effectiveness of catching traps in Pasar Bengkulu to obtain more information regarding managing fishing gear in Pasar Bengkulu.
The Effect of Macroeconomic Policy Uncertainty on Environmental Quality in Jordan: Evidence from The Novel Dynamic Simulations Approach
Authors: Alkhawaldeh Bashar Younis Subeih , Alhawamdeh Hamzeh , Almarshad Mohammad , Fraihat Baha Aldeen Mohammad , Abu-Alhija Shireen Maher Mohammad , Alhawamdeh Abbas Mohammad , Ismaeel Bader
Published: July 2023

Objectives: Over the past few years, Jordan's economy has grown rapidly, placing it prominently among the world's emerging markets and developing economies rapidly. The country is known for its diverse natural resources. However, the effects of macroeconomic uncertainty, energy intensity, and trade openness on the environment have received less attention than the environmental implications of energy generation. This research fills a significant gap in the literature by investigating the impact of macroeconomic policy uncertainty on Jordan's environmental Kuznets curve from 1970 to 2021.

Methods: This study adopted a methodological framework to simulate dynamic distributed self-regression.

Results: The results of the study revealed that uncertainty about the future direction of macroeconomic policy accelerates the short and long-term rate of environmental degradation; economic growth accelerates environmental degradation while the square of economic growth slows it, confirming the presence of the environmental Kuznets curve hypothesis; energy density accelerates the rate of environmental quality degradation.

Conclusions:  Jordan should adopt advanced, environmentally friendly, clean technologies that transition from fossil fuels to low-carbon renewable energy sources. The government should establish strong international partnerships for technology exchange and environmental preservation. Additionally, increasing Jordan's economic complexity is crucial for achieving its environmental development goals.
The Asymmetric Impact of Energy consumption on economic growth; Empirical Evidence from the Jordanian Economy
Authors: Al-Nawafleh Aseel , Alqaralleh Huthaifa
Published: July 2023

Objectives: This study aims to demonstrate the asymmetric impact of energy consumption on Jordan's economic growth, addressing a range of explanatory variables of economic growth, mainly total energy consumption, total fixed capital formation, and total labor force from 1990 to 2019.

Methods: The study used the autoregressive lagging time lag model in its non-linear form (NARDL) for regression analysis. To achieve this purpose, the unit root test, the Wald-test asymmetry test, the Cointegration test, and a set of model validity tests were used.

Results: The results confirm that economic growth represented by growth in GDP is disproportionately affected by changes in energy consumption. Furthermore, the selected economic variables have had the expected impact in line with economic theory and previous literature.

Conclusions: The study recommended that economic shocks in the energy sector should be considered in the analysis of this relationship, whether positive or reverse in the long and short term, as they are important for decision-makers to limit the impact of such shocks on economic growth.
Platinum Nanotubes Calculated Using Relativistic Cylindrical Wave Technique: Chiral Induced Spin Selectivity
Authors: D’yachkov Pavel , D’yachkov Evgeny
Published: July 2023

Electronic and spin properties of chiral platinum nanotubes are calculated using the relativistic linear augmented cylindrical waves method. The spin-orbit coupling induces the strong splitting of nonrelativistic dispersion curves for the Fermi energy region. The large differences in spin densities of states for spins up and down can be used to create pure spin currents through the tubules. In the two series Pt (5, n2) and Pt (10, n2), the (5, 3) and (10, 7) nanotubes show the strongest chirality-induced spin selectivity effects.
Biodiesel Production: Agricultural and Economical Aspect in India
Authors: Kumar Ved , Dixit Sudhaker , Gautam Soni , Tiwari Saransh , Singh Yadav Ajay
Published: July 2023

The production of biodiesel attracts attention from scientists and researchers as of its tremendous applications and commercial use. It becomes important as of its eco-friendly nature, too, as it is biodegradable and non-polluting. The advantages of using petro-diesel with biodiesel lie in diminishing air pollution, encouraging the domestic supply of fuel, and creating new opportunities in agriculture. The production of biodiesel provides an alternative for agriculture as well as the industry. Focusing on short-duration annual crops that can generate fuel and oil seed crops provides numerous opportunities for small farmers. The intention of biodiesel concerns for creation and fortification of the environment. It is economically beneficial in several ways, namely by creating new jobs in the food and farming industries. Biodiesel fuel is eco-friendly and replaces petro-diesel. Previous studies showed that pollutants such as CO, CO2, SOX, HC, PAH, PM, and others can be reduced by using blended and pure biodiesel. However, the emission of NOX increases by using biodiesel. Biodiesel also provides a means to recycle CO2 which is mainly responsible for global warming. Biodiesel has been produced using plant oils such as Jatropha oil, Cottonseed oil, Pongamia oil, Palm oils, Rapeseed oil, and Castor oil. Such oils are converted to biodiesel through transesterification. We investigated the potential of Jatropha oil as a source of biodiesel. Biodiesel has become an eco-friendly and alternative fuel with many aspects in industrial use. When the use of biodiesel becomes more popular than petroleum fuel, the supply must be sufficient to meet daily needs. Therefore, the presented review article describes production, properties, agricultural benefits, marketing, and the prospect of biodiesel.
Towards a Political Economy of Renewable Energy: Does Democracy and Globalization Matter for Central and Eastern European Countries (CEECs)
Authors: Cengiz Orhan , Manga Müge
Published: July 2023

Renewable energy policy is one of the remarkable parts of the sustainable development path. However, the political-economic dimension of renewable energy policies is not so much widely discussed. Besides, democracy and globalization are essential factors affecting renewable energy. Hence, this paper examines the relationship between renewable energy consumption, democracy, and globalization in the Central and Eastern European Countries (CEECs) during the period 1995-2021. Economic growth and CO2 emissions are used as control variables in the model. The study employs the panel vector autoregressive (PVAR) estimation technique to quantify the relationship between renewable energy consumption, democracy, and globalization by including economic growth and CO2 emissions. The findings from the PVAR analysis suggest that participatory democracy and globalization positively affect renewable energy consumption, while liberal democracy, economic growth, and CO2 emissions have a negative impact on it. Furthermore, the PVAR Granger causality test outcomes indicate an interactive causal relationship between variables.
The Role of Education and Innovation in Renewable Energy Consumption in OECD and BRICS Countries
Authors: Li Junrong , Rehman Abid , Khan Jamal
Published: July 2023

Extreme climatic catastrophes and increasing emission levels demonstrate that humanity and nature are in confrontation. In this situation, the responsibility falls on intellectuals who engage in critical thinking, research, and innovation, propose solutions to problems, and bring society together to pursue a common goal. The present study assesses the role of education and Innovation in climate change mitigation in OECD and BRICS countries, where the use of renewable energy and decreasing the use of non-renewable energy are considered climate change mitigation strategies. The GMM approach is used to test the empirical model. The results indicate that increasing education and innovation levels in OECD and BRICS countries positively impact renewable energy consumption. However, the role of education and innovation in reducing the use of non-renewable energy consumption in the BRICS is insignificant, while in OECD countries, it is found significant. Thus, this study recommends that environmental education and green innovation be the focus to get sustainable development.
Piezoelectric MEMS-based physical reservoir computing system without time-delayed feedback
Authors: Yoshimura Takeshi , Haga Taiki , Fujimura Norifumi , Kanda Kensuke , Kanno Isaku
Published: July 2023

In this study, a physical reservoir computing system, a hardware-implemented neural network, was demonstrated using a piezoelectric MEMS resonator. The transient response of the resonator was used to incorporate short-term memory characteristics into the system, eliminating commonly used time-delayed feedback. In addition, the short-term memory characteristics were improved by introducing a delayed signal using a capacitance-resistor series circuit. A Pb(Zr,Ti)O3-based piezoelectric MEMS resonator with a resonance frequency of 193.2 Hz was employed as an actual node, and computational performance was evaluated using a virtual node method. Benchmark tests using random binary data indicated that the system exhibited short-term memory characteristics for two previous data and nonlinearity. To obtain this level of performance, the data bit period must be longer than the time constant of the transient response of the resonator. These outcomes suggest the feasibility of MEMS sensors with machine-learning capability.
Thermal response of nano-tendril bundles to steady heat load
Authors: Xue Qi , Tanaka Hirohiko , Zhang Rongshi , Kajita Shin , Hori Kenta , Shi Quan , Kuwabara Tatsuya , Ohno Noriyasu
Published: July 2023

Nano-tendril bundles (NTBs) are nanostructures formed on the surface of tungsten under helium plasma irradiation with impurities. Upon annealing, NTBs of different sizes exhibit distinct morphological changes. This study aims to elucidate the underlying reasons for the different morphological changes observed in NTBs through the analysis of their thermal responses. A simulation approach was employed to investigate the temperature distribution of NTBs with different heights, aspect ratios, and porosities during annealing experiments. The simulation results revealed varying degrees of impact of height, aspect ratio, and porosity on the temperature distribution of NTBs during annealing. This finding contributes to a better understanding of the thermal properties and reactions of NTBs.
KORELASI ANTARA KADAR HEMOGLOBIN DENGAN TOTAL IRON BINDING CAPACITY (TIBC) PADA PENDERITA PENYAKIT GINJAL KRONIK (PGK) DERAJAT V YANG MENJALANI HEMODIALISIS DI RS TOELOENGREDJO PARE KEDIRI
Authors: Ekowati Lestari
Published: July 2023

Pendahuluan: 80-90% penderita Penyakit Ginjal Kronik (PGK) menderita Anemia yang terutama disebabkan karena defisiensi Eritropoietin. Defisiensi zat besi juga memiliki peran yang cukup besar terhadap terjadinya anemia pada PGK. Anemia defisiensi Fe terjadi pada 25-38% penderita PGK. Pemeriksaan laboratorium untuk mendiagnosis Anemia Defisiensi Fe salah satunya adalah Total Iron Binding Capacity (TIBC). Pemeriksaan kadar TIBC penting dilakukan pada penderita PGK untuk memantau status besi dalam tubuh penderita. Tujuan: untuk mengetahui korelasi antara kadar Hb dengan kadar TIBC pada penderita PGK derajat V yang menjalani Hemodialisis di RS Toeloengredjo Pare Kediri. Metode: Penelitian ini dilakukan pada 23 sampel penderita PGK derajat V yang melakukan Hemodialisis di RS Toeleongredjo Pare Kediri. Sampel whole blood dan serum dikumpulkan dan diperiksa kadar Hb dan kadar TIBC nya. Hb diperiksa menggunakan Hematology Analyzer Nihon Kohden Celltac MEK 7222K, sedangkan TIBC diperiksa menggunakan Clinical Chemistry Analyzer Metrolab 2300. Hasil: Rerata Kadar Hb pada sampel adalah 8.52 ± 1.53 dan Rerata kadar TIBC adalah 41.60 ± 18.52. Hasil uji statistik didapatkan nilai koefisien korelasi Pearson (r) sebesar 0.09 dengan derajat signifikansi p = 0.684 (p > 0.05) dan Confidence Interval 95%. Hasil analisis uji statistik menunjukkan bahwa terdapat korelasi yang sangat lemah antara kadar Hb dengan kadar TIBC pada penderita PGK derajat V yang menjalani Hemodialisis di RS Toeloengredjo Pare Kediri.   Simpulan: terdapat korelasi yang sangat lemah antara kadar Hb dengan kadar TIBC pada penderita PGK Stadium V yang menjalani Hemodialisis.

 

Kata Kunci: Penyakit Ginjal Kronik, Anemia, Hemoglobin, TIBC, Fe
Penanaman Nilai-Nilai Religius di Sekolah Dasar Masa Pandemi
Authors: Dewi Wahyu Eka Kusuma , Hidayat Muhamad Taufik
Published: July 2023

Kajian ini bertujuan untuk menganalisis kendala dan cara implementasi nilai religius di sekolah dasar masa pandemi COVID-19. Metode yang digunakan yaitu Systematic Literature Review (SLR). Teknik yang digunakan dalam kajian ini adalah dokumentasi dan mereview artikel. Proses analisis data kualitatif yang digunakan dengan merumuskan kata kunci dari topik yang akan dibahas, kemudian meninjau kajian sistematis secara transparan untuk mencari artikel-artikel kajian yang sudah dipublikasikan, kemudian mengevaluasi dengan cara ekstraksi, menganalisis, dan selanjutnya langkah terakhir yaitu dengan melakukan sintesis. Teknik penilaian untuk memeriksa keabsahan data adalah triangulasi teknik dan triangulasi sumber. Hasil kajian ini menunjukkan bahwa Pelaksanaan pembiasaan penanaman nilai religius di sekolah menemui beberapa kendala. Kendala yang dialami bersumber dari dalam diri siswa dan juga lingkungan sekitar seperti fasilitas yang kurang memadahi. Implementasi karakter religius mengenai siswa dilakukan dengan bertahap yang dimulai dari memadukan nilai-nilai agama ke dalam setiap pembelajaran, membiasakan peserta didik untuk ikut serta kegiatan keagamaan, melaksanakan pembinaan melalui kegiatan-kegiatan ekstrakurikuler. Memadukan dalam pembelajaran dapat dengan berupa bentuk penghayatan nilai-nilai pada tiap program dan di lingkungan sekolah dapat diberikan oleh guru dalam bentuk pembelajaran dan keikutsertaan guru dalam setiap kegiatan yang dilakukan secara bertahap. Kajian ini memiliki tiga saran. Pertama, kepala sekolah dasar di seluruh Indonesia harus memperkaya ilmu pengetahuan dan wawasan terkait penanaman nilai religius. Untuk pengayaan dapat berupa mengikuti workshop atau membaca karya ilmiah terkini atau pedoman penilaian. Kedua, guru SD di Indonesia harus lebih serius dalam mendidik peserta didik. Terakhir, pemerintah dengan dukungan peneliti harus merancang sistem penilaian dan pendidikan yang baik untuk mengatasi keterbatasan waktu.
Face Recognition System Based on LBPH Algorithm
Authors:   School of C& IT, REVA University, Bangalore, Singh Abhishek Pratap , Manvi Sunil Kumar S ,   School of C & IT, REVA University, Bangalore, Nimbal Pratik ,   School of C & IT , REVA University, Bangalore, India., Shyam Gopal Krishna ,   School of C & IT , REVA University, Bangalore,
Published: July 2023

In this modern time, identifying a person using a face is a standard biometric approach to distinguishing an individual from others. So techniques are required to identify a face must be quick and sufficiently enough to work in real time. But there are many difficulties within the execution of face identification in low lighting condition. In this paper, we have proposed a system that is using Local Binary Patterns Histogram algorithm for identifying a face. It can recognize both front and side faces and upgrade the value of poor enlightened picture and also expands the recognition rate in real time.
Prevention of Theft of Sandalwood trees using IOT and Arduino
Authors:   Information Science Engineering, RNS Institute of Technology, Bangalore, India., Abhishek Chakka Sai , Patil Ketaki Vinod ,   Information Science Engineering, RNS Institute of Technology, Bangalore, India.
Published: July 2023

With the advancement in the technology and increasing dependency of humans on smart devices, with the rising concern for security systems available to the society in day to day life, it has become very important to have a technology which can monitor and protect the green cover in our society using IOT. Our paper ‘Prevention of Theft of Sandalwood trees using IOT and Arduino deals with embedded technologies which incorporates the inbuilt structure and script code for Arduino in this paper we present an efficient solution to safeguard sandalwood trees which are the pride of our society. The sensors used here are connected with Arduino. The safety statistics of sandalwood trees is continuously synced with cloud storage using the wireless module which can be monitored easily by the concerned forest official who can also enable and disable the sensors. The accelerometer depends on the vibrations to control the signals. Our proposed system will link the leading technology to bring the features of security to completely safeguard our precious Sandalwood trees present in our environment.
An approach to face Detection and Recognition using Viola Jones
Authors:   Department of C&IT, REVA University, Bangalore, India, Malge Arvind , Dhaduk Hardikkumar M. ,   Department of C&IT, REVA University, Bangalore, India., P.M Mallikarjuna Shastry ,   Department of C&IT, REVA University, Bangalore, India.
Published: July 2023

The face of human may be a muddled visual dimension model and is therefore extremely difficult to create a computing model for the cognitive basic process. The paper displays a system for perceiving the human face smitten by image-based highlights. The technique proposed is available in 2 phases. In an image using Viola-Jones calculation, the main preparation distinguishes the human face. Using a combination of Principle Component Analysis and Artificial Neural Network, the distinguished face within the image is perceived at the next stage contrasting the execution of the proposed strategy with existing ways. The proposed strategy recognizes greater accuracy in the acknowledgement.
Smart Traffic Light
Authors:   School of C&IT, REVA University, India., Yadav Hrithik , GG Iranna ,   School of C&IT, REVA University, India., Nimalesh J ,   School of C&IT, REVA University, India., B Kiran Kumar ,   School of C&IT, REVA Universiy, India., B Archana. ,   School of C&IT, REVA University, India.
Published: July 2023

With increase in population, there has been a significant rise in the number of vehicles on our roads. This marked increase in vehicles has resulted in most urban areas being gridlocked in traffic jams. In order to reduce this congestion and set up a functional system of traffic management, we have proposed the Smart Traffic Light (STL), which uses image processing and a scheduling algorithm to automatically manage the duration of traffic signals. Another feature of the STL is its management of signals to prioritise emergency vehicles such as ambulances or fire engines by ensuring green signals in their specified routes in order to ensure minimum delay in traffic.