bluuebunny/crossref_metadata_2025 huggingface dataset:
КОНЦЕПЦИЯ ТРЕХ РЕВОЛЮЦИЙ В РАБОТАХ Д.С. МЕРЕЖКОВСКОГО
Authors: В.В. ПЕТРОВ
Published: October 2024

В исследовании анализируются литературно-философские работы Д.С. Мережковского, в которых революционные события 1905 и 1917 гг. рассматриваются в контексте концепции трех последовательных революций — политической, социальной и духовной (религиозной, нравственной). В числе источников, повлиявших на идеи Мережковского, указываются воззрения А.И. Герцена и Ф.М. Достоевского. Также отмечено определяющее влияние Э. Ренана, который интерпретировал проповедь исторического Иисуса и процесс возникновения христианства как всемирную революцию и космический переворот. В этой связи рассматриваются особенности рецепции «Жизни Иисуса» Ренана в России, включая критику его модернизирующего подхода у М.Д. Муретова. Прослеживается эволюция отношения Мережковского к трактовкам христианства у Ренана. Обсуждается концепция трех стадий революции — политической, социальной и духовно-религиозной, о которой Мережковский не уставал говорить, начиная с 1902 г. Апокалиптическое изображение событий 1917–1918 гг. иллюстрируется фрагментами из публикаций Р.В. Иванова-Разумника, футуристов и Андрея Белого, которые обратились к концепции трех этапов революции, введённой Мережковским.

The study analyzes the literary and philosophical works of Dmitry Merezhkovsky, in which the revolutionary events of 1905 and 1917 are treated within the concept of the three successive revolutions — political, social and spiritual (religious, moral). Among the sources that influenced Merezhkovsky’s ideas are the views of Alexander Herzen and Fyodor Dostoevsky. The decisive influence of Ernest Renan is also noted. Renan interpreted the preaching of the historical Jesus and the process of the emergence of Christianity as a universal revolution and a cosmic upheaval, is also analyzed. In this connection, the peculiarities of the reception of Renan’s “Life of Jesus” in Russia, including Mitrophan Dmitrievich Muretov’s criticism of Renan’s modernizing approach, are examined. The evolution of Merezhkovsky’s attitude to Renan’s interpretation of Christianity is traced. The concept of three stages of the revolution — political, social, and spiritual-religious — which Merezhkovsky has repeatedly discussed since 1902, is under consideration. The apocalyptic depiction of the events of 1917–1918 is illustrated with citations from the works of Ivanov-Razumnik, the Futurists, and Andrei Bely, who appealed to the concept of three stages of revolution introduced by Merezhkovsky.
ОСОБЕННОСТИ ПРИРОДНОГО ЛАНДШАФТА У АЛЬДХЕЛЬМА: АРХЕТИПИЧЕСКИЕ ОБРАЗЫ И РЕАЛИИ ОКРУЖАЮЩЕГО МИРА
Authors: А.А. САЗОНОВА
Published: October 2024

Глава посвящена изучению культурных архетипов природного ландшафта по латинским сочинениям Альдхельма из Малмсбери. По двум гисперийским посланиям англосакского монаха реконструируется его авторский ландшафт зла, в основе которого лежат древнегерманские, библейские и апокрифические представления о происхождении зла и греха на земле. По результатам анализа интертекстуальных связей обосновывается исследовательский вариант перевода ключевого эпизода для интерпретации истории Каина и Авеля (возделанное поле — тернии — болото). Делается вывод, что Альдхельм наложил растительный код на социальное произрастание грехов и преступлений. Его законченная картина ландшафтного варварства заключает в себе описание кровавого полива греха от братоубийства Каина в проклятой земле, прорастание терний зла и отравленного Дерева Мертвых (по загадке «Тис»). Третьей частью негативного ландшафта становится болотный locus horridus из древнегерманской мифологии, который ученый клирик связывает с заточением Сатаны (в образе водяного змея) в Тартаре. Также ландшафтное варварство осмысляется Альдхельмом (и за ним в последующей англо-латинской и древнеанглийской литературе) через категорию «наказания» в форме социальной изоляции на острове в море либо болоте.

The chapter is devoted to the study of cultural archetypes of the natural landscape in the Latin writings of Aldhelm of Malmesbury. Established on two hisperic epistles of the Anglo-Saxon monk, his original landscape of evil is reconstructed, derived from on ancient Germanic, biblical and apocryphal representations of evil’s origin and sin on the earth. According to results of the analysis of intertextual connections, a research version of the translation of key episode for the interpretation of story of Cain and Abel (cultivated field — thorns — marsh) is substantiated. It’s concluded that Aldhelm imposed a plant code on the social growth of sins and crimes. His complete picture of landscape barbarity includes a description of the bloody watering of sin from Cain’s fratricide in the damned land, the sprouting of evil’s thorns and the poisoned Tree of the Dead (the riddle «Yew»). The third part of the negative landscape is the marsh locus horridus from ancient Germanic mythology, which the learned monk associates with the imprisonment of Satan (in the form of a water serpent) in Tartarus. Landscape barbarity is also understood by Aldhelm (and after him in Anglo-Latin and Old English literature) through the category of «punishment» in the form of social isolation on an island in the sea (or a marsh).
ПАРАДИГМА ЛАНДШАФТНОГО ВАРВАРСТВА В АНТИЧНОЙ ЛИТЕРАТУРНОЙ ТРАДИЦИИ
Authors: В.О. НИКИШИН
Published: October 2024

Впервые в наиболее законченном и развёрнутом виде климатическая теория была сформулирована в трактате Псевдо-Гиппократа «О воздухах, водах, местностях». Автор этого трактата поставил физиологические и психологические особенности разных этносов, их темперамент, обычаи и нравы в прямую зависимость от климатических и географических условий среды обитания этих этносов. Взгляды, изложенные Псевдо-Гиппократом, получили своё дальнейшее развитие в «Политике» Аристотеля и «Всеобщей истории» Полибия, в «Географии» Страбона, в сочинениях Посидония, Цезаря, Цицерона, Плиния Старшего, Тацита и других античных авторов. В итоге географический детерминизм занял своё почётное место в греко-римской этногеографической традиции. Важным компонентом последней был культурный примитивизм, который, в свою очередь, включал в себя идеализацию «благородных дикарей»: скифов, гетов, германцев и др. Важно отметить, что «примитивизм» и «прогрессизм» в античной литературной традиции шли рука об руку, в известной мере уравновешивая друг друга.

For the first time, in its most complete and expanded form, climate theory was formulated in the treatise of Pseudo-Hippocrates «On Airs, Waters, and Localities». The author of this treatise placed the physiological and psychological characteristics of different ethnic groups, their temperament, customs and morals in direct dependence on the climatic and geographical conditions of the habitat of these ethnic groups. The views expressed by Pseudo-Hippocrates were further developed in Aristotle's Politics and Polybius's General History, in Strabo's Geography, in the works of Posidonius, Caesar, Cicero, Pliny the Elder, Tacitus and other ancient authors. As a result, geographic determinism took its place of honor in the Greco-Roman ethnogeographical tradition. An important component of the latter was cultural primitivism, which, in turn, included the idealization of «noble savages»: Scythians, Getae, Germans, etc. It is important to note that «primitivism» and «progressivism» in the ancient literary tradition went hand in hand, to a certain extent balancing each other.
Reflexões sobre um cinedebate tendo como eixo temático a questão ambiental e a evolução do planeta Terra
Authors: Araujo Michele Feitosa de , Teixeira Ricardo Roberto Plaza
Published: October 2024

O presente artigo examina a experiência da realização de um cinedebate que envolveu a exibição do filme de animação Wall-E e a discussão sobre a temática ambiental e a história do planeta Terra. Deste modo, portanto, este trabalho procurou articular pesquisa, ensino e extensão, de forma interdisciplinar e com o objetivo de examinar as possibilidades pedagógicas das relações entre educação e cultura. Para fundamentar a investigação, foi realizada uma revisão teórica sobre diferentes tópicos, tais como a educação ambiental, a evolução de nosso planeta desde a sua origem e a realização de cinedebates. O evento que é foco desta investigação foi realizado em 26 de maio de 2023 no auditório do campus de Caraguatatuba do Instituto Federal de São Paulo (IFSP). Um questionário, que foi elaborado para averiguar as concepções dos participantes do cinedebate sobre os temas tratados nele, foi respondido por 24 pessoas. Os dados obtidos apontam que a integração entre educação e atividades culturais pode ajudar no processo de conscientização ambiental dos cidadãos a respeito dos impactos das práticas humanas nos diversos ecossistemas terrestres.
Palavras-chave: Sustentabilidade; Educação Ambiental; Terra; Cultura.
Yield, grain quality and morphological characteristics of new early maturing varieties of soybean [Glycine max (L.) Merrill] from domestic breeding
Authors: Mykhailyk S. M. , Kurochka N. V. , Smulska I. V. , Sonets T. D. , Starychenko Ye. M.
Published: October 2024

Purpose. To carry out a comprehensive study and evaluation of new varieties of soybean [Glycine max (L.) Merrill] of the early maturity group (vegetation period – 91–110 days) by morphological characteristics and the main economic indicators: yield, oil and protein content. Methods. Field stu­dies on the qualification examination of soybean varieties were carried out during 2022–2023 in ten branches of the Ukrainian Institute for Plant Variety Examination (UIPVE) within the soil and climatic zones of the Steppe, Forest­Steppe and Polissia. The process was based on the existing methods of qualification examination of plant varieties for their suitability for distribution in Ukraine (VCU), determination of quality indicators of crop production and compliance of varieties with the criteria of distinctness, uniformity and stability (DUS). Results. The morphological characteristics, yield and grain quality of new early maturing varieties of Ukrainian breeding, included in the State Register of Plant Varieties Suitable for Distribution in Ukraine, were evalua­ted. Namely: ‘Zlatopilska’, ‘Kobuko’, ‘AFC Tempo’, ‘AFC Fest’, ‘Hospodynia’ and ‘Sunrise’. The most productive varieties in all soil and climate zones were ‘AFC Tempo’ (Steppe – 3.25 t/ha,
Forest­Steppe – 3.64, Polissia – 3.63 t/ha) and ‘Kobuko’ (Steppe – 3.03 t/ha, Forest­Steppe – 3.68, Polissia –
3.42 t/ha). At the same time, ‘Zlatopilska’, ‘Kobuko’, ‘AFC Tempo’, ‘AFC Fest’ and ‘Sunrise’ produced the highest yields in Forest­Steppe [from 2.89 t/ha (‘Zlatopilska’) to 3.68 t/ha
(‘Kobuko’)] and ‘Hospodynia’ – in Polissia (2.83 t/ha). ‘Zlatopilska’ (38.4–40.3%) and ‘Sunrise’ (37.9–40.6%) had the highest protein content in the grain and ‘AFC Fest’ (23.3–24.3%) the highest oil content. Conclusions. According to the results of the qualification examination, varieties of soybean ‘Zlatopilska’, ‘Kobuko’ and ‘AFC Tempo’ are recommended for cultivation in all soil and climatic zones; ‘Sunrise’ – in the Steppe and Forest­Steppe; ‘Hospodynia’ – in the Steppe and Polissia; ‘AFC Fest’ – only in the Steppe. Seeds produced in the Forest­Steppe zone have the best quality indicators in terms of protein content, and in terms of oil content – in the Steppe zone. The studied varieties of soybeans meet the criteria of distinctness, uniformity and stability, as well as the requirements for suitability for distribution in Ukraine.
GREEN CHEMISTRY: USING MORE SUSTAINABLE TECHNIQUES TO ESTIMATE THE WATER QUALITY OF THE UBERABA RIVER USING ORBITAL OPTICAL SENSORS
Authors: Carvalho Maeda Tatiane , Morlin Carneiro Franciele , de Sousa Filho José Waldir , Shiratsuchi Luciano Shozo , Pointer Malpass Geoffroy Roger
Published: October 2024

Green Chemistry aims to prevent pollution resulting from activities in the chemical sector. Generally, laboratory activities generate pollution because toxic substances are used to perform analyses, which produce waste once the analyses are completed. This study aimed to monitor the quality of the Uberaba River using more sustainable and non-destructive techniques through orbital remote sensing and to develop methods for estimating water quality at reduced costs using orbital sensors and machine learning. The values of water quality parameters, such as iron, nitrate, chloride, total phosphorus, and total nitrogen, were studied between 2018 and 2023. Orbital sensing data (spectral bands and vegetation indices) were taken from the exact geographic coordinates of the collection points. Data were analyzed using Pearson’s correlation coefficient and random forest regression analysis. The study concludes that it is possible to perform orbital remote sensing by estimating water quality through random forest regression, correlating the information obtained from Sentinel-2 images with the values of these parameters. This approach is a sustainable technique that does not generate waste and represents a 100% saving compared to conventional chemical analyses.
Cancer incidence associations with drinking water arsenic levels and disinfection methods in Maine, USA
Authors: MacRae Jean D. , Abbott Michael D. , Fufaa Gudeta D.
Published: October 2024

Maine is a largely rural state where nearly half of the population uses drinking water from private wells. Arsenic (As) is present in some Maine groundwater, has been linked to cancer, and a lack of testing and treatment may expose people with private wells to elevated As levels. Disinfection byproducts (DBPs) include known and suspected carcinogens that form when chlorine or chloramines are added to water. People served by public water systems may be exposed to elevated levels of regulated DBPs such as trihalomethanes and haloacetic acids associated with chlorine and/or unregulated nitrogenous DBPs, or N-DBPs, such as nitrite and N-nitrosodimethylamine associated with chloramines. Contrary to initial expectations, there were no significant associations between median town As in well water and bladder, lung, kidney, or skin cancer incidence. Furthermore, bladder, melanoma, and other skin cancer incidence rates were negatively correlated with the percent of the town population using private wells. Analysis of cancer incidence associated with chlorine and chloramine disinfection showed elevated melanoma, and other skin cancer with chloramine use and elevated bladder and non-melanoma skin cancer with chlorine use compared to the no disinfectant case. We recommend more research on the links between disinfectant use and cancer.
Perceived Health Risks Associated with Smartphone Use Among Health College Students at Qassim University in Saudi Arabia
Authors: Qalawa Shereen Ahmed Ahmed , Ibrahim Noha Mohammed Ibrahim , Fadlalmola Hammad Ali , Elmansy Fatma Mohamed , Elbqry Mohamed Goda
Published: October 2024

Background

Smartphones have evolved into a fusion of traditional personal digital assistants and cellular phones, integrating mobile communication capabilities with features parallel to those of a handheld computer.

Objective

This study aimed to assess the health risks associated with smartphone use and the prevalence and nature of observed health issues among health college students at Qassim University in Saudi Arabia.

Methods

Employing a descriptive cross-sectional research design, this study surveyed a convenience sample of 511 health college students at Qassim University. The data collection instrument comprised two sections: Section 1 assessed sociodemographic, academic, and health-related information, while Section 2 evaluated the health risks as perceived by students.

Results

The majority of the participants were women (71%) and were studying nursing (26%). A significant proportion (39.9%) reported blurred vision, while 38.6% indicated a lack of adequate sleep. Notably, no significant association was observed between the health complaints and sociodemographic information. The analysis also revealed no significant relationship between health complaints and smartphone usage patterns.

Conclusion

The findings highlight a critical need for further research to investigate the factors contributing to the effect of smartphone use on the physiological well-being of university students. Such research is essential for developing targeted interventions to mitigate the associated health risks.
Factors influencing tenant retention among selected commercial leasing establishments in Cebu City, Philippines
Authors:   College of Management, Northern Iloilo State University, Iloilo, Philippines, Salazar Ronnie G.
Published: October 2024

In the competitive field of commercial real estate, it is important to understand the factors that affect tenant retention to maintain a stable and profitable leasing environment. This descriptive survey research examined the factors influencing tenant retention among selected commercial leasing businesses in Cebu City, Philippines, with a focus on office and retail lease contracts. A total of 150 tenants (lessees) were purposefully selected to participate in the survey, and data were collected through a questionnaire created by the researcher. The results showed that tenants regarded the management structure of the lessor, building quality, lease pricing, contract terms and conditions, building location, and government regulations as key factors in their decision to stay with their lessors. The study also found that tenants were moderately satisfied with these factors. These findings highlight the importance of lease agreements and property management in tenant retention strategies. Further research on these factors and their impact on property management in Cebu City's commercial leasing sector could provide valuable insights for improving tenant satisfaction and retention.
Religious security as a component of the national security of Ukraine: actualization of the problem in wartime
Authors: Fylypovych Liudmyla , Horkusha Oksana
Published: October 2024

The article updates the issue of religious security of Ukraine, which is a component of national security. For a long time, despite expert assessments, this problem was not taken into account by the state and society, however, religious security is an important part of general national security, and this issue is relevant not only for Ukraine. The article analyzes threats to religious security provoked by Russian armed aggression. The concept of the "Ukrainian world" as the living space of Ukrainians in its historiographical, axiological, ontological, and existential content should become the dominant basis for the formation of religious security in its relationship with national security. The main vectors for the need to observe the religious security of modern Ukraine and to prevent irreparable damage to the national and state security of Ukraine with the use of the religious factor are highlighted: legal and legal; social and civil; institutional and organizational; worldview-ideological; educational and educational; military chaplain. The authors draw attention to the danger of the existence in Ukraine of those religious organizations that are affiliated with the aggressor country - organizationally, historically, mentally, culturally, linguistically - and prove that the narratives promoted by these structures in sermons, communication, comments, and holo - even in the actions of their religious leaders, affirm in Ukraine foreign values of "Russian world", "one Slavic and Orthodox people", "Moscow - the third Rome", etc. The authors prove that the activity of anti-Ukrainian institutions should be banned. According to the authors, this does not contradict the principles of freedom of conscience and religion, but protects the Ukrainian people from hostile ideological and religious influences that led to a large-scale Russian-Ukrainian war.
A NOVEL APPROACH FOR TEST DATA GENERATION
Authors:   IK Gujral Punjab Technical University, India, Kumar Gagan , Chopra Vinay ,   D.A.V. Institute of Engineering and Technology, India
Published: October 2024

Software testing is an essential phase in software design process, accounting for more than half of the total cost due to its rigorous and time-consuming nature. Path test data generation is the most important stage in software testing, and researchers have devised several methods to automate it. In this research, a novel approach based on ant colony optimization and negative selection algorithm (NSA) is projected to automatically create test data for path testing. The most widely used benchmark programs such as triangle classification, dayfinder, minmax and isprime, has been used to test the proposed approach. When compared to random testing, the experimental findings reveal that the proposed method is more efficient in terms of coverage, execution time and more effective in terms of test data creation.
DESIGNING EFFECTIVE CHATBOT SYSTEM USING GRU WITH BEAM SEARCH
Authors:   Rajarambapu Institute of Technology, India, A. Thorat Sandeep , D. Jadhav Vishakha ,   D.A.V. Rajarambapu Institute of Technology, India, T. Mane Dadaso ,   Rajarambapu Institute of Technology, India
Published: October 2024

Artificial Intelligence (AI) based Chatbot is a moderately new technology in the world. AI and Natural Language Processing (NLP) empowers a Chatbot to converse like a human being. Chatbots have become popular recently as they diminish human efforts by automating various tasks. AI-based Chatbot learns from the previous discussion and generates an appropriate response or action for the input given by the user. In the proposed research work we designed AI-based Chatbot system using the Sequence to Sequence (Seq2Seq) model. This system uses a Gated Recurrent Unit (GRU) for encoder and decoder. In the proposed model the GRU encoder accepts a query from the user. The GRU encoder uses an attention mechanism to consider only relevant information and convert it into the context vector form. A context vector is another input to the GRU decoder. The GRU decoder generates a response using the Beam search algorithm. The research work uses Cornell Movie Dialogue Corpus to train the proposed interactive Chatbot system. It is observed that the proposed model with the combination of GRU and Beam search gives better accuracy with the minimum loss for testing data. These experimental results are better than existing approaches that use LSTM Seq2Seq models to train Chatbot systems.
EFFICIENTNET FOR HUMAN FER USING TRANSFER LEARNING
Authors:   Kurukshetra University, India, Singh Rajesh , Sharma Himanshu ,   CSIR-Central Electronics Engineering Research Institute, Pilani, India, Mehta Naval Kishore ,   Kurukshetra University, India, Vohra Anil ,   Kurukshetra University, India, Singh Sanjay ,   Kurukshetra University, India
Published: October 2024

Automatic facial expression recognition (FER) remained a challenging problem in computer vision. Recognition of human facial expression is difficult for machine learning techniques since there is a variation in emotional expression from person to person. With the advancement in deep learning and the easy availability of digital data, this process has become more accessible. We proposed an efficient facial expression recognition model based EfficientNet as backbone architecture and trained the proposed model using the transfer learning technique. In this work, we have trained the network on publicly available emotion datasets (RAF-DB, FER-2013, CK+). We also used two ways to compare our trained model: inner and cross-data comparisons. In an internal comparison, the model achieved an accuracy of 81.68 % on DFEW and 71.02 % on FER-2013. In a cross-data comparison, the model trained on RAF-DB and tested on CK+ achieved 78.59%, while the model trained on RAF-DB and tested on FER-2013 achieved 56.10% accuracy. Finally, we generated an t-SEN distribution of our model on both datasets to demonstrate the model''s inter-class discriminatory power.
CLASSIFICATION OF PADDY LEAF DISEASES WITH EXTENDED HUBER LOSS FUNCTION USING CONVOLUTIONAL NEURAL NETWORKS
Authors:   A.V.V.M. Sri Pushpam College, Affiliated to Bharathidasan University, India, B Sowmiya , K Saminathan ,   A.V.V.M. Sri Pushpam College, Affiliated to Bharathidasan University, India, M Chithra Devi ,   Queens College of Arts and Science for Women, Affiliated to Bharathidasan University, India
Published: October 2024

Paddy is a major food crop serving more than half the population of people in the world. It is inevitable to improve the quantity and quality of food crop with the growing population. Different factors including soil fertility, water availability, erratic climate variations, diseases, and pests, have an impact on paddy crop yield. It is crucial to identify the root cause for the reduction in yield of paddy. Early disease diagnosis prevents the plants from getting worst through its consecutive stage. The concern with manually diagnosing plant leaf diseases with the naked eye is that the results can be less accurate and even unreliable. Automatic disease diagnosis eliminates the need for experts and provides accurate results. This paper will assist the farmers to identify the leaf diseases automatically with the aid of Convolutional Neural Networks. This research includes paddy leaf disease categories: bacterial blight, blast, tungro, brown spot and healthy leaves. The dataset contains 800 images, 160 images from each of the five categories. Images are resized to 256 * 256 pixels and normalized. The network architecture created with convolutional, maxpooling, flatten and dense layers. The Dataset is divided into training and validation set in 70:30 ratios and model is trained with 20 epochs of batch size 16. The novelty of the study is the implementation of extended Huber loss function for minimizing the loss. Furthermore, it is cross compared with existing loss functions. The Proposed model has achieved 96.63% training accuracy and 86.61% validation accuracy with 5 classes. Performance of model is evaluated with confusion matrix with precision, recall, F1-score and support as parameters.
SENTIMENT ANALYSIS BASED ON FINE GRAINED FEATURE REPRESENTATION OF DOMAIN SENTIMENT DICTIONARY
Authors:   Kovai Kalaimagal College of Arts and Science, India, S Gnanapriya
Published: October 2024

The era of information technology has grown tremendously over the decade. In the existing opinion mining technology, the response time and the accuracy are not up to the expectation. The sentiment analysis is not accurate in the traditional systems. The method failed to divide the opinion holder, tendency and the opinion object from the opinion given by the holder/user and it results to the failure in obtaining the overall report of the positive and negative feedbacks of the object. The proposed fine grained opinion mining can perform better in analyzing the holder, tendency, and expression from the statement. This accuracy of the proposed system is consistent in the case of large datasets such as reading the reviews of the customers and filters the positive and negative opinion in an accurate manner. The proposed system uses the external sentiment directory for comparing the opinion given by the user and predefined emotional data stored in the directory.
BUILD AN EFFECTIVE DEEP LEARNING MODEL FOR UNDERWATER IMAGE ENHANCEMENT BASED ON EUVP DATA
Authors:   NGF College of Engineering and Technology, India, Jaitly Sugandha , Bhati Sudha ,   NGF College of Engineering and Technology, India
Published: October 2024

Images taken underwater often suffer from colour distortion as well as a reduction in visibility because of the light absorption and scattering that occurs. Existing approaches for underwater image enhancement make use of numerous assumptions/constraints to produce decent results. However, these solutions all have the same disadvantage in that the assumptions used may not work for certain scenarios. To solve this issue, this research provides an end-to-end system for underwater image augmentation that includes a CNN-based network dubbed VGG and UNet. There have been several studies in recent years proving the efficiency of deep learning approaches in various application fields. Color correction and haze removal tasks are used to train the VGG and UNet. This combined training technique allows for the simultaneous learning of a robust feature representation for both tasks. A pixel disrupting method is used in the suggested learning framework to better extract the intrinsic characteristics in local patches, which considerably enhances convergence speed and accuracy. We used EUVP dataset training images based on the underwater imaging model to handle VGG and UNet training. The testing findings on several real-world underwater settings show that the suggested strategy yields aesthetically pleasing outcomes. The experimental results for the full-reference measures SSIM, PSNR, RMSE, UCIQE, and UIQM demonstrate the reliability and efficacy of the proposed technique.
DETECTION OF BREAKWATER FAILURE MODES FROM PHOTOGRAMMETRIC DERIVED POINT CLOUDS – A CASE STUDY FOR BUNBURY PORT, WESTERN AUSTRALIA
Authors:   Curtin University, Australia, P Helmholz , L Boyle ,   Curtin University, Australia, B.E. Tily-Laurie ,   Curtin University, Australia, D May ,   Curtin University, Australia, G Singh ,   Curtin University, Australia, J Hogben ,   Southern Ports Authority, Australia, Y Ren ,   Curtin University, Australia, Q Li ,   Curtin University, Australia, D Belton ,   Curtin University, Australia, S Khaksar ,   Curtin University, Australia, S.J. Snyman ,   Southern Ports Authority, Australia
Published: October 2024

The concept of a digital twin is increasingly applied to a wide range of physical assets as it offers spatial contextualisation, temporal contextualisation, simulation, and optimisation. For the Southern Ports Authority (SPA) of Western Australia one important asset class is breakwater walls. SPA has implemented a spatial contextualisation for their breakwater facilities using a Geographic Information System (GIS) including the breakwater wall condition. This proof-of-concept study aims to validate that timely mapping of breakwater conditions using Unmanned Aerial Vehicles (UAV) and the information derived from the images captured by UAVs is possible. Three failure modes have been investigated using single and multiple epoch data. The failure modes are slope defects, breach or loss of crest elevation and armour movement or loss of armour interlocking. The highest potential for an automatic assessment was concluded for the Breach or loss of crest elevation failure mode. Armour movement or loss is likely to be detected as well, as long as the point spacing of the point clouds in different epochs is comparable. Further investigations are required for the loss of armour interlocking as well as for multi-epoch slope defect assessment. Hence, while it is a proof-of-concept study only, it is the first step to develop a more automated assessment of breakwater walls. Consequently, this data can then be used for simulation and optimisation and the integration of the data in business processes, i.e., the maintenance cycle for the breakwater walls.
TRACING AND RECOGNITION OF MEDICINAL HERBS IN MARUNTHUVAZH MALAI AT THE WESTERN GHATS THROUGH FEATURE EXTRACTION
Authors:   University College of Engineering, Nagercoil, India, T Sahila , A Radhakrishnan ,   University College of Engineering, Nagercoil, India, V.A. Nagarajan ,   University College of Engineering, Nagercoil, India
Published: October 2024

The identification and classification of the herbs using the naked eye is difficult in forest or mountain areas like Marunthuvazh Malai of Kanyakumari district. The difficulties arise because of the variations in the crops identified are inaccurate. Mostly the manual prediction is taken place in those areas which require high expertise and more human resources. In this work both plant identification and tracking system based on fuzzy empowered Hybrid artificial neural networks (FHANN) are proposed. Here the input is taken from the video signals taken by the drone camera. The input video signals are converted into images. The fuzzy logic along with the HANN is used for the classification of the specific herbs from the set of plants. Some of the herbs included in the analysis are Parsley, Dill, Oregano, Chervil, Stevia, Basil, Catnip, Fennel and Lemon Grass. This approach used artificial neural networks (ANN) in combination with the K-Nearest neighbor (KNN) as the hybrid model for the herb prediction and classification in association with the fuzzy logic. The Linear Discriminant Analysis (LDA) and Convolutional Autoencoder are used as a hybrid model for the extraction of the feature from the obtained images. This approach considers various shapes, color features, and textures specifically representing the specific herbs. The experimental results show that the proposed model provides better results in the identification and classification of the various medicinal herbs.
OPTIMIZATION ASSISTED AUTOREGRESSIVE METHOD WITH DEEP CONVOLUTIONAL NEURAL NETWORK-BASED ENTROPY FILTER FOR IMAGE DEMOSAICING
Authors:   Nesamony Memorial Christian College, India, C Anitha Mary , A Boyed Wesley ,   Nesamony Memorial Christian College, India
Published: October 2024

The natural scenes are captured by digital cameras that adopt a single charged-coupled device (CCD) or Complementary Metal Oxide Semiconductor (CMOS) sensor with a Color Filter Array (CFA). To reconstruct a full color image from the mosaiced CFA image, the missing components of color are recovered by a technique called color demosaicing. This research work introduces Deep Convolution Neural Network (DCNN)-based optimization assisted autoregressive method for image demosaicing. Here, the proposed optimization algorithm, termed Adaptive Autoregressive Water Wave Optimization algorithm (Adaptive Autoregressive-WWO), that is formed by combining Conditional autoregressive value at risk (CAViaR) model and Water Wave Optimization algorithm (WWO). Fusion process is carried out for residual images to generate the final demosaiced image based on entropy measure. Here, the output generated from DCNN is the first residual image. The LPA-ICI filter utilizes the optimization algorithm that generated second order polynomial coefficients to produce the second residual output image. Moreover, this proposed method is evaluated for its performance using metrics, such as Peak signal-to-noise ratio (PSNR) and Second Derivative like Measurement (SDME) and attained the highest PSNR values of 40.379dB and highest SDME values of 50.675dB.
Interrelationships Among Individual Factors, Family Factors, and Quality of Life in Older Chinese Adults: Cross-Sectional Study Using Structural Equation Modeling
Authors: Wu Yuting , Gong Cong , Pi Lifang , Zheng Meixin , Liu Weifang , Wang Yamei
Published: October 2024

Background

China's rapidly aging population necessitates effective strategies for ensuring older adults' quality of life (QOL). While individual factors (IF) and family factors (FF) are known to influence QOL, existing research often examines these factors in isolation or focuses on specific subpopulations, overlooking potential interactions and mediating pathways.

Objective

This study aims to examine both direct and indirect pathways connecting IF and FF to older adults’ QOL, focusing on the mediating roles of health risks (HR) and health care service demand (HSD).

Methods

This study uses structural equation modeling (SEM) to analyze cross-sectional data from 8600 older participants in the 2015 China Health and Retirement Longitudinal Study (CHARLS), a nationally representative study using a multistage probability proportional to size sampling method.

Results

Among the 8600 participants, the majority (5586/8502, 65.7%) were aged 60-70 years, with a near-equal distribution of males and females at around 50%. The average PCS score was 76.77, while the MCS score averaged 59.70. Both IF (β=0.165, P<.001) and FF (β=0.189, P<.001) had a direct positive effect on QOL. Furthermore, the indirect effects of IF (β=0.186, P<.001) and FF (β=0.211, P<.001) through HR and HSD were also significant. In the direct model, IF and FF had a greater impact on MCS (β=0.841) than on PCS (β=0.639). However, after including the 2 mediating factors, HR and HSD, the influence of IF and FF on MCS (β=0.739) became consistent with that on PCS (β=0.728). Subgroup analyses revealed that the direct effect of IF on QOL was significant in the 60-70 age group (β=0.151, P<.001) but not in those over 70 years old (β=0.122, P=.074). Comorbidity status significantly influenced the pathway from HR to HSD, with older adults having 2 or more chronic diseases (β=0.363) showing a greater impact compared to those with fewer than 2 chronic diseases (β=0.358).

Conclusions

Both IF (education, per capita disposable income, and endowment insurance) and FF (satisfaction with a spouse and children) directly impact the QOL in older people. Meanwhile, IF and FF have equal influence on QOL through the mediating role of HR and HSD. Recognizing the interplay among these factors is crucial for targeted interventions to enhance the well-being of older adults in China.
Analysis of the Characteristics Aquatic Ecosystem Poso Energy Hydropower Plant in Lake Poso Central Sulawesi
Authors: Wirachandra Ari , Poedjirahajoe Erny , Purwanto Ris Hadi
Published: October 2024

It is feared that the use of the Poso Energy Hydroelectric Power Plant (PLTA) and various industrial, agricultural, and domestic waste disposal activities can reduce the quality of Poso Lake waters. Until now, studies on the impact of PLTA on waters quality have never been carried out. This study aims to analyze the characteristics of the ecosystem quality of Lake Poso waters based on phisical, chemical, and biological parameters. The research was conducted using the sampling method at 6 location points in the area before the PLTA, around the PLTA, and after the PLTA from July to September 2022. Data were analyzed statistically with ANOVA. The results showed that phisical parameters (TSS, odor, colour, turbidity), chemical (pH, DO, BOD, COD, NO3-N, total phosphate), and biological (fecal coliform, plankton diversity) showed significantly different values in the area before PLTA, around PLTA, and after the PLTA. The existence of PLTA is concluded to have an impact on changes the waters quality. A management strategy that accomodates more environmental factors is needed to ensure the sustainability of Lake Poso aquatic resources.
Optimisasi Penempatan Recloser dan Sectionalizer untuk Memperbaiki Keandalan Jaringan pada Penyulang WNI10 Menggunakan Simulasi Reliability Assessment
Authors: Pratama Muhammad Andika , Setiyono Y. Wahyo , Rahman Alvin Harista
Published: October 2024

Gangguan atau pemadaman pada jaringan distribusi tenaga listrik berpengaruh pada terganggunya kontinuitas pelayanan dan jumlah energi listrik yang dapat terjual ke konsumen tenaga listrik. Untuk mengukur keandalan suatu jaringan distribusi dapat digunakan indeks keandalan sistem salah satunya angka SAIDI (system average interruption duration index) dan SAIFI (system average interuption frequency index). Penentuan lokasi SAIDI penempatan alat proteksi seperti recloser dan sectionalizer memengaruhi nilai kedua indeks keandalan tersebut. Studi kasus penempatan recloser dan sectionalizer yang optimal pada penyulang WNI10 ini menggunakan metode reliability assessment kemudian dilakukan perbandingan nilai SAIDI/SAIFI dari hasil simulasi jaringan distribusi pada tiap perpindahan lokasi penempatan recloser. Untuk mendapatkan nilai SAIDI dan SAIFI diperlukan parameter berupa data rate of failure (λ), time to repair (U), dan jumlah pelanggan (N). Selain itu, untuk data jaringan diperlukan besar beban tiap section dan panjang section. Perbandingan nilai SAIDI/SAIFI akan dicari nilai terkecil pada tiap perubahan penempatan recloser dan sectionalizer tersebut sehingga dapat meningkatkan keandalan jaringan pada penyulang WNI10. Setelah perubahan posisi alat proteksi, indeks keandalan penyulang Wonogiri 10 menjadi sebesar 26,48 jam/tahun (SAIDI) dan 8,73 padam/tahun (SAIFI).
The Clash between China’s High-Tech Industry versus the Chinese Government
Authors: Guarino Arthur S.
Published: October 2024

China is experiencing a severe clash between its central government, the Chinese Communist Party, and its high-tech industry. While the Chinese government needs to expand and diversify its economy, it is attempting to impose stifling controls on the industry that could bring this to fruition. There are political, social, and economic reasons for this clash. But, most importantly, the clash between the Chinese government and the high-tech industry will most definitely affect the country’s economic future at a time when such factors as its gross domestic product and employment situation cannot afford a serious contraction. The aim and purpose of this article is to examine the numerous implications of China’s clash between its government and its high-tech industry.
Study on the Translation of Culture-loaded Words from the Perspective of Domestication and Foreignization Theory: A Case Study of Kong Yiji
Authors: Xia Ying
Published: October 2024

Culture-loaded words are also called culture-specific words. The translation of them is the difficult point of novel translation. Lu Xun's novel Kong Yiji contains a large number of culture-loaded words. Therefore, translators must adopt different translation strategies from the perspectives of content and context. Based on Lawrence Venuti's theory of "Domestication and Foreignization", this paper analyzes the culture-loaded words in Kong Yiji in order to resolve the obstacles in cross-cultural communication.
The Effect of Mulching and Planting Materials on the Growth and Yield of Sweet Potato (Ipomoea batatas L.) Sari Variety
Authors: Permanasari Paramyta Nila , Putra Rakha Alfyanda , Wicaksono Karuniawan Puji , Guritno Bambang
Published: October 2024

The production of sweet potatoes (Ipomoea batatas L.) in Indonesia is still considered low compared to the national needs, which is approximately 2 million tons per year. Sweet potato yields can be improved by influencing both internal and external factors of the cultivation practices. The use of mulch has the potential to stabilize plants environment and growing condition. The use of different planting materials that has different characteristics and hormone contents will also influence the growth and yield of sweet potatoes. The aim of this study is to determine the interaction between the use of mulch and planting materials on sweet potatoes. The hypothesis of this research is that there will be an interaction between the two treatments, which could enhance yield. This research was conducted from February to May 2024 in Sidodadi Village, Garum Subdistrict, Blitar Regency. This study is a factorial experiment arranged based on a Randomized Block Design (RBD) consisting of 2 factors. The first factor is mulch with 3 levels: M0 (no mulch), M1 (silver-black plastic mulch) and M2 (rice straw mulch). The second factor is planting materials with 3 levels: T1 (upper shoot cuttings), T2 (middle shoot cuttings) and T3 (lower shoot cuttings). The results showed that the application of silver-black plastic mulch provided the best yield when applied together with upper shoot cuttings (28.40 tons ha-1), middle shoot cuttings (28.05 tons ha-1), and lower shoot cuttings (27.86 tons ha-1). The rice straw mulch treatment provided the best yield when applied together with upper shoot cuttings (22.53 tons ha-1) and middle shoot cuttings (21.68 tons ha-1). The treatment without mulch provided the best yield when applied together with upper shoot cuttings (25.79 tons ha-1). The choice of planting material can vary according to availability (upper, middle or lower of the shoot cutting) if using black silver plastic mulch.
Analysing the Impact of Capital Structure on Firm Value: A Study in Corporate Finance
Authors: Mazumdar Md Abdulla Ahmed , Mara Dr . Odang
Published: October 2024

Abstract: This study investigates the relationship between capital structure and firm value across various industries. Using a cross-sectional quantitative analysis, the research examines how different levels of debt, equity, and financial leverage affect firm value, measured by market capitalization and Tobin's Q. The findings suggest that firms with moderate debt levels experience enhanced firm value, benefiting from the tax shields provided by debt without incurring significant financial distress. However, excessive financial leverage negatively impacts firm value, as firms face increased risk of financial instability. The study supports key theories such as the trade-off theory and pecking order theory, demonstrating that capital structure decisions are influenced by factors such as firm size, profitability, and industry characteristics. The implications for corporate managers and investors include optimizing debt-equity balance to maximize firm value while managing financial risk. Future research should focus on industry-specific dynamics and longitudinal analyses to further explore these relationships.
A Comparative Study on the Behaviour of Various Methods of Curing Concrete
Authors: A Sasikumar , R Harikrishnan , M Abarna , A Karthick
Published: October 2024

Abstract: The properties of cement-based products, especially their durability, are predominantly influenced by curing, since it has a remarkable effect on the hydration of the cement. Proper curing of cement-based products is crucial to obtaining design strength and maximum durability. The curing period depends on the type of cement works, the purpose for which it is to be used and the surrounding atmosphere, namely temperature and relative humidity. Curing is designed primarily to maintain the moisture, by avoiding the loss of moisture from the period in which it is gaining strength. Curing may be applied in a number of different processes and the mass appropriate means of curing may be directed by the site or the construction method. In this critique, a paper struggle has been made to understand the working and efficiency of curing system which are generally adopted in the construction industry and compared with the standard water curing method.
Linguistic Acceptability
Authors: Tsucana Jorge Armando
Published: October 2024

Abstract: This article is about linguistic acceptability, and in this article, linguistic acceptability is treated as a synonym of textual acceptability. This article has as fundamental objective to understand the factors that contribute to the establishment of linguistic acceptability, and to continue this study, the starting question was the following: What are the factors that contribute to the establishment of linguistic acceptability? Therefore, to answer this question, the line of bibliographical research was adopted as a methodology in order to understand the different perspectives linked to this theme in order to understand and comprehend the determining conditions that contribute to textual acceptability in a given communicative event. In this way, it is understood that this article can substantially contribute to raising awareness among potential speakers of a language about the essential criteria that guarantee textual acceptability, but also about its relevance in the language teaching and learning process. Thus, in view of the above, it is concluded that textual acceptability is characterized by the ability of the receiver to attribute a certain meaning to the linguistic sequences produced by his interlocutor, there are several criteria that must be mobilized, relevant for example for linguistic knowledge, sociolinguistic knowledge and pragmatic knowledge, that is, the learner of a given language must simultaneously master linguistic conventions and sociocultural conventions on the use of language within the speaking community