bluuebunny/crossref_metadata_2025 huggingface dataset:
Review of Challenges and Innovations in Occluded Facial Recognition in Disguise and Crowd
Authors: Singh Abhay Kumar , Singh Abhimanyu , Sirohi Hemant , Bhardwaj Nitesh
Published: May 2024

Abstract: Facial recognition technology is critical in modern security and identification systems, yet it faces significant challenges when dealing with occluded faces, whether due to disguises or in crowds. This review explores the complexities of occluded facial recognition, highlighting the obstacles presented by partial or complete obstruction of facial features by various elements like clothing, accessories, or other people in crowded spaces. These occlusions, intentional or otherwise, complicate the identification process, rendering traditional recognition systems less effective. Recent advancements in machine learning, particularly through Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs), have ushered in innovative solutions that enhance the system's ability to recognize faces even when significant portions are obscured. These developments signify a move towards more adaptable and precise occluded facial recognition technologies, essential for real-world applications where occlusions are unpredictable. The paper discusses ongoing challenges and innovations considerations, various occluded system performance metrics and conclude with way ahead for Researchers and Practioners
Artificial Intelligence: A Quick Overview of Speech Recognition System
Authors: Kaur Ms. Jatinder , Sharma Ms. Swati , Tiwari Dr. Varun , Singh Dr. Sanjay Kumar
Published: May 2024

Abstract: The study of intelligent behaviour is known as artificial intelligence. Wagner said, "We build intelligent machines in science." By this, he implied that the primary goal is to teach these sophisticated devices, such as computers, to examine and comprehend human conduct. numerous believed that human intelligence might be understood through the construction of several programmes, while other researchers believed that numerous basics should be required in order to accomplish the intended objective. We can carry out or replicate any type of task we conduct using a computer. Therefore, computers are the ideal devices for developing artificial intelligence. In the hopes that they will outperform computers in several other areas, some researchers created additional computing devices. Billions of dollars were invested in creating new devices that surpassed the speed of the computer used to simulate software. However, the computers and the code both need to be extremely quick. As you learn about artificial intelligence, you may wonder, what really is intelligence? How is intelligence measured? Turn become something quite significant. In this case, the programme that evaluates its surroundings acts as the intelligent agent. Modern digital computers and human minds are comparable to one other in ways such as symbolic information processing systems. Both use symbolic data as input, change it in accordance with predetermined guidelines, and then use the results to solve issues. In order to mechanically replicate intelligent human activity, artificial intelligence researchers have programmed some algorithms to recognise intelligent human behaviour. Human conduct in language processing, chess, and other games, as well as medical diagnostics, may be used to monitor this activity. Voice recognition is a key component of AI. A certain voice may be recognised using voice recognition technology. The cornerstone for speaker identification is voice signals. Voice targeting is applicable to a wide range of applications, including voice mail, database access, phone banking, and phone purchasing. The ability to enter one's voice for verification is among the most potent uses of voice recognition for security. The fundamental means of interpersonal communication is speech. The technique of translating voice sounds into appropriate text is known as speech recognition. Over the past few years, speech recognition technology has advanced significantly. Nonetheless, there are other significant study obstacles, such as variations in speaker and language, ambient sound, word size, etc. This study aims to give a comprehensive overview of speech acceptance by summarising the several approaches utilised in the standard speech system and describing the numerous processes involved
Making a Better Logistic Regression Model Using Ensemble Learning
Authors: Verma Sneha
Published: May 2024

Abstract: Machine learning is a hot research topic in today's society and an important direction in the field of image classification research. Image classification is a supervised learning method used to classify images. There are many image classification algorithms that perform differently in different conditions. Paper focuses on improving the performance of image classification algorithms by using ensemble learning. Paper analyses the performance of logistic regression model and support vector machine model and then uses ensemble learning to increase the performance of logistic regression model. In the research work, both theoretical and empirical approaches were followed. For the theoretical approach a review of both secondary data as well as data based on results obtained by application on the tools is studied. Secondary data was acquired from the research articles, text books, journals, technical reports, published thesis, websites, e-journals, software tool manuals, conference proceedings and any other research articles published in the related domain. The empirical study was carried out on the set of experiments, using software tools. The results obtained from the experiments were analyzed for the finding of the research. The paper compares the results of three algorithms when tested on same dataset, in same environment and on same system. The final results of the research prove that ensemble techniques give best results and this type of learning is effective.
Are We the Reason for Climate Change?
Authors: Raghavendra P.
Published: May 2024

Abstract: Climate change is a pressing global issue, primarily driven by human activities such as burning fossil fuels, deforestation, and industrial processes, which release greenhouse gases into the atmosphere. This study explores the evidence supporting the human role in climate change, assessing individual carbon footprint patterns and their contribution to greenhouse gas emissions. It discusses various human activities leading to carbon emissions and presents a method for calculating individual carbon footprints. Additionally, it outlines strategies to reduce carbon footprints, including using public transport, minimizing electricity usage, and promoting sustainable practices like recycling and planting trees. This study highlights the urgent need for collective action to address climate change, emphasizing the critical importance of transitioning to sustainable energy sources and adopting mitigation strategies to limit temperature rise.
Masknet: Detecting Facial Coverings with Convolutional Neural Networks
Authors: Mali Khushi , Patil Seema
Published: May 2024

Abstract: The growing use of face masks for preventing respiratory diseases has created a demand for automated detection systems. In our study, we propose utilizing Convolutional Neural Networks (CNNs) to fulfill this need. To substantiate our proposal, we constructed a dataset comprising 3725 images of individuals wearing masks and 3828 images of individuals without masks. We labeled each picture with a value “1” for masks on faces in the images and “0” for those without them. The small parts of the photographs where people’s faces were obscured by the masks also needed marking so as not to mislead people about what is depicted by an image. For us to have the same type of data all over again, we had to change an image’s size.
Alzhimer Detection Using CNN
Authors: B Suchithra , Suresh Aryan , Sandhya Dr. Kaipa
Published: May 2024

Abstract: Alzheimer's Disease (AD) is a progressive neurodegenerative disease. It is most popular Alzheimer disease symptoms include trouble thinking, making judgment and decision, not able to do familiar task it’s going to also cause alteration in personality and behavior .The factor of AD development is poorly known. As the sickness advances, an individual with Alzheimer disease will develop severe amnesia and lose the capacity to perform everyday activation. This incurable disease is mainly found within elderly people. Neuroimaging technique like MRI and PET scan are used for AD detection. For better result multi model neuroimaging technique are used with DL algorithm for Alzheimer classification process. In this project we are going to use MRI along with PET scan and CNN (convolution neural network) for image classification into normal cognitive (NC).
IOT Based Smart Parking System
Authors: Agnihotri Shashank , Kumar Ankit , Singh Gopal , Dixit Prateek , Ahmad Shayan , Chaurasia Shresth
Published: May 2024

Abstract: The problem faced by people in this modern era in urban areas is the problem of parking whether it is in shopping mall, railway station, hospitals, movie theatre, etc. This problem occurs due the increase of number of vehicles in recent times. Furthermore, today’s car parking is insufficient and driver/users waste most of the time in finding a place to park their vehicles. The purpose of this research is to use modern technologies like IoT (Internet of Things) and RFID (Radio-Frequency Identification) which detects the availability of parking slots in the parking lots. Besides, the smart parking system has a web application which displays how many slots are available and alerts the user when status of the slot has changed. Additionally, the user details are added on the database. Hence, the smart parking system will provide a smooth functioning and will take the parking system to new levels
IOT Based Food Minitoring System
Authors: Nath Chinmoy , Singh Mohit , Goswami Uday , Bisht Sahil , Kaushik Ms. Monika , Sharma Ms. Usha
Published: May 2024

Abstract: The Internet of Things (IoT) has emerged as a transformative technology with wide-ranging applications, and one of its promising domains is in the field of food monitoring systems. This abstract introduces an innovative IoT-based Food Monitoring System designed to enhance food quality assurance and reduce waste in the supply chain. The proposed system integrates various IoT components, including sensors, actuators, and communication devices, to create a comprehensive solution for monitoring the entire lifecycle of food products. Key objectives of the system include real-time tracking of food conditions, ensuring compliance with quality standards, and minimizing the environmental impact associated with food waste. The implementation of this IoT-based Food Monitoring System offers several benefits, including improved food quality, reduced waste, increased operational efficiency, and enhanced consumer satisfaction. By leveraging the capabilities of IoT, this system addresses the challenges associated with maintaining food quality and safety while contributing to the overall sustainability of the food industry
A Survey on Emergency Vehicle Route Optimization and Traffic Management Application
Authors: S P Sathvik
Published: May 2024

Abstract: Ambulance delays in India result in approximately 10,000 lives lost annually, highlighting the critical need for efficient emergency response systems. To address this issue, we present the "Emergency Vehicle Priority with Route Optimization and Traffic Management Application." Leveraging advanced technology, including an Android application, Firebase, and IoT integration with traffic signals, our system dynamically calculates and optimizes ambulance routes using Google API, minimizing delays and improving overall efficiency. The application facilitates seamless coordination between ambulance drivers and traffic police officers, triggering real-time route updates and traffic signal adjustments to expedite ambulance passage. By streamlining traffic flow and enhancing emergency response coordination, our solution aims to significantly reduce ambulance delays and save lives in urban areas.
Senior-Centric Object Detection for Independent Living
Authors: Gugulothu Prof. Shraddha S. , Kumbhare Ishita , Birkhede Sejal , Borse Tanvee , Pote Shubham , Dhole Tanmay , Gobre Vaibhav
Published: May 2024

Abstract: The need for creative solutions that help seniors preserve their independence is growing as a result of the worldwide population aging issue. A major obstacle that many seniors encounter is the possibility of a loss in their physical and cognitive abilities, which can make it difficult for them to carry out everyday chores. This study introduces a senior-oriented object detecting system in order to address this urgent problem. The technology assists elderly people in recognizing and locating things in their living areas by utilizing sophisticated computer vision techniques and machine learning algorithms. It aims to improve seniors' safety and autonomy through real-time support, ultimately leading to a better quality of life. This system is carefully designed to accommodate the special requirements of senior citizens, providing a viable means of fostering autonomous live in a population that is aging. This initiative is a big step forward in the fight to empower seniors and improve their well-being in an aging society because of its creative approach and emphasis on user-centric design
Edukasi Ragam Investasi Digital untuk Meningkatkan Peluang Passive Income UMKM Kota Malang
Authors: Dhika Maha Putri  , Dwi Narullia  , Putri Regina Prayoga  , Yongky Teguh Setiaji
Published: May 2024

Purpose – This activity aims to provide understanding to Micro, Small and Medium Enterprises (MSMEs) in managing their income and capital flows
Design/methodology/approach – This service method is carried out by involving a combination of socialization and education programs that emphasize the importance of investing, providing practical guidance, and supervising digital investments made by MSME participants.
Findings – After the service activities are carried out, it can increase knowledge and interest in digital investment among MSME players in the city of Malang so that MSME enthusiasm for investment as a passive income stream increases, while protecting them from fraud in investment
Originality/value – Activities focus on the goal of broadening the perspective of MSME players regarding digital investment
Pendampingan Penyusunan Laporan Keuangan Berbasis Excel dalam Upaya Meningkatkan Kualitas Penyusunan Laporan Keuangan
Authors: Widyastuti Aviani , Mawardi Fahmi Dwi Mawardi
Published: May 2024

ABSTRAK
Tujuan – Tujuan dari program ini adalah memberikan kompetensi nyata untuk mitra yaitu Sanggar Bimbingan Belajar Surya sesuai dengan keinginan mitra dalam membuat dan melaporkan laporan keuangan secara sistematis dan berkelanjutan.
Desain/metodelogi/pendekatan – Kegiatan ini dilakukan melalui tahapan kegiatan sosialisasi, pelatihan dan pendampingan laporan keuangan berbasis excel kepada mitra seusai kebutuhan.
Hasil – Hasil kegiatan menunjukkan bahwa setelah dilakukan sosialisasi dan pelatihan laporan keuangan berbasis excel, mitra memiliki kesadaran akan pentingnya informasi keuangan yang dihasilkan oleh laporan keuangan bagi pengambilan keputusan dan pengelolaan organisasi. Kegiatan pendampingan juga diberikan kepada mitra setelah mendapat kan pelatihan, meskipun mengalami keterbatasan waktu dan jarak yang jauh antara mitra dan tim pengabdi.
Originalitas – Melalui kegiatan program pengabdian masyarakat ini dapat mengatasi permasalahan mitra dalam membuatan dan melaporkan laporan keuangan secara sistematis dan berkelanjutan.
RÉGUA DE FRAÇÕES COMO RECURSO DIDÁTICO PARA ESTUDANTES COM DEFICIÊNCIA VISUAL: UMA EXPERIÊNCIA DE PROTOTIPAGEM
Authors: Santos Edilaine Breves dos , Cardoso Giovana da Silva , Almeida José Ricardo Ferreira de
Published: May 2024

A inserção de recursos didáticos para o ensino de matemática, em particular, para o ensino de frações, é de extrema relevância por proporcionar de maneira lúdica e concreta que os estudantes com deficiência visual assimilem este conteúdo. Entretanto, nem todos os recursos didáticos poderão atender de forma significativa este educando, necessitando que adaptações sejam realizadas. Portanto, este trabalho apresenta o desenvolvimento de adaptações em um recurso didático relacionado ao conteúdo de frações para o trabalho com estudantes com deficiência visual. A metodologia adotada neste estudo foi qualitativa, de cunho bibliográfico e de campo, envolvendo dois ambientes disponíveis no curso de licenciatura em matemática do Instituto Federal de Educação, Ciência e Tecnologia do Rio de Janeiro (IFRJ), Laboratório de Ensino e Aprendizagem de Matemática (LEAM) e o de Prototipagem (IFMaker). Os resultados apontam que o recurso didático adaptado possui potencial para atender tanto os estudantes com deficiência visual como aqueles sem deficiência.
Saúde, cultura e raízes ancestrais: fitoterapia indígena como prática de cuidado histórico pela biografia das plantas
Authors: BRANDÃO B. , SANTOS S. R.
Published: May 2024

This text brings a dialogue between a Pajé, from the Potiguara ethnic group, and an anthropologist about health and ancestral culture based on indigenous phytotherapy. It is an experience report of the course taken with the Pajé Amanacy, in the municipality of Baía da Traição, in Paraíba, together with a biographical account of the Pajé, whose history with the pajelança and the healing plants are recalled and brought to the gift. The dialogue between the experiences of the two authors traces a path in which the biography of plants governs the openings of the medical encounter between biomedicine and ethnomedicine, in official public health policies and how phytotherapy has been implemented in the Unified Health System (SUS). By following the history of the Potiguara, in Baía da Traição; the transformation of an indigenous woman into a Pajé, healer and teacher; An anthropologist's experience with the culture of the land, we reflect on the biographical portrait that plants present to us and how ethnomedicine mobilizes ancestral roots to the center of health policies.
SURVEY ON TECHNICAL ADVANCEMENTS AND RENOVATIONS IN FEDERATED LEARNING
Authors: (Corresponding Author) Balaji Subramanian , Tulshain Shobhit , - MananModi , Dalei Asutosh , D Sumathi
Published: May 2024

With the rapid increase in IoT devices and advanced machine learning and deep learning techniques, there has been a growing concern about computational cost and data privacy issues since the data coming from IoT devices is non-independent identically distributed (non-IID). However, the implementation of the federated learning algorithm has proven to be a booster in the performance and a solution to the existing data privacy concerns. This paper gives insight into topics such as Blockchain, Unmanned Aerial Vehicles (UAV), Wireless communication, Vehicular Internet of Things, Healthcare, and Cloud Computing and how they have been implemented and co-related to federated Learning and the application and the emerging use cases in the field of federated learning (FL) with respect to the above-mentioned topics have also been discussed. This paper uniquely shows how federated learning has an edge over the traditional machine learning and deep learning techniques in IoT infrastructure since computing nodes are trained using local models on the devices and then these local models are uploaded to the central global server instead of data directly into a global model on a central server ensuring data privacy.
SECURE AND ENERGY-EFFICIENT TASK SCHEDULING IN CLOUD CONTAINER USING VMD-AOA AND ECC-KDF
Authors: (Corresponding Author) Muthakshi S , K Mahesh
Published: May 2024

Since the cloud storage system offers reliable storage services, it is facing an exponential shift towards lightweight containers due to advancements in technology. Nevertheless, for performing numerous applications, common access to the host Operating System (OS) in the container affected its security. Thus, this paper proposes an energy-efficient and secured scheduling approach. Primarily, multiple users send task requests to the resource manager by registering their details. Then, data are collected from the registered user; also, for removing the repeated requests, pre-processing takes place. Next, by employing the Levenberg-Marquardt Multi-Layer Perceptron Neural Network (LM-MLPNN) technique, the nature of the request from the user is checked to aid in the efficient utilization of container resources. By utilizing the Homography Transform-based K-Mode Algorithm (HT-KMA), the attributes are extracted from the normal user for the efficient clustering process. Then, by deploying the Weighted Round Robin (WRR) technique, the imbalance in the container environment is avoided. An optimal container is selected using the Variational Mode Decomposition-based Archimedes Optimization Algorithm (VMD-AOA) method based on the clustered tasks, and is effectively secured using Elliptic Curve based Key Derivation Function (EC-KDF) and transferred to the resource manager. To perform the required tasks, the resource manager in turn forwards the selected container to the corresponding user. As per the experimental outcomes, when analogized to other well-known algorithms, the proposed methodology achieves better performance.
Análise do comportamento aplicada no ensino da matemática
Authors: Oriá Rafaele Lima Batista , Romano Luciana
Published: May 2024

O objetivo principal da intervenção é realizar uma mediação pedagógica, com base no modelo ABA, na matéria de Matemática, para que, dessa forma, o estudante seja realmente incluído na sua sala de aula regular, potencialize seus conhecimentos na aquisição de habilidades numéricas básicas e obtenha um comportamento conceitual numérico (Lorena; CastroCaneguim; Carmo, 2013). A maior dificuldade identificada pela professora é a de reduzir os comportamentos inadequados, como excesso de comportamento com os pares, entender a rotina da sala, os tempos de estudo e brincadeiras, maior atenção nas atividades desenvolvidas na matéria de Matemática. A intervenção foi planejada e mediada pelo modelo de ensino ABA (Barcelos et al., 2020), que trabalha os comportamentos: esperar, sentar e imitar ações com objetos, visando à inclusão escolar de um aluno sem diagnóstico Médico e com o relatório pedagógico da professora da Sala de Recursos Multifuncionais (Ferreira; Silva; Barros, 2016). Tornou-se bastante evidente a contribuição de intervenção em ABA na sala de aula, a contribuição fica muito clara para mim, professora, que a utilização do reforço positivo para com o estudante, fez toda diferença em seu comportamento. Observou-se que progressivamente, desde o início da intervenção até ao término da implementação, foram sendo presenciadas expressões de aceitação pelo estudante, em particular quando conseguia permanecer sentado na cadeira após ser aplicado o Programa de sentar-se.
O cuidado parental como uma extensão do atendimento multidisciplinar de crianças com transtorno do espectro autista: um olhar terapêutico ocupacional
Authors: Lima Arismênia Maria Almeida , Lopes Karina Santos Teixeira , Gonçalves Marta Maria do Socorro Lima Barros , Oliveira Paloma Abreu de , Santos Roberta Maria Guimarães dos
Published: May 2024

Durante a prática clínica de Terapia Ocupacional ao atendimento a crianças com Transtorno do Espectro Autista (TEA) no Centro Especializado em Reabilitação – CER Eusébio – Ceará na Unidade Especializada para Pessoas com Autismo – UEPA foi percebido a necessidade de uma atenção direcionada ao cuidado a família de crianças com TEA, sendo criado um grupo de cuidado parental com os familiares das crianças com TEA que estão em atendimento multidisciplinar na UEPA. Tendo em vista que a terapia deve ser de forma contínua e perpassar por todos os espaços da vida. Trata-se de uma pesquisa bibliográfica, de campo intervencionista e de caráter qualitativo a partir de um relato de experiência, com amostra de oito encontros com a participação da equipe multidisciplinar para contribuir com as diversas demandas solicitadas pelos familiares em relação ao cuidado e manejo das crianças com TEA. Os resultados foram diminuição de ansiedade dos familiares em relação a terapias, esclarecimento em relação ao autismo, aumento do vínculo familiar com os profissionais, possibilitando troca de experiências e saberes diversos usuários, beneficiando a melhoria no desempenho ocupacional, o reconhecimento familiar diante das potencialidades das crianças, da evolução das terapias e a facilidade de comunicação com os familiares pelo vínculo estabelecido com a equipe. Conclui-se que o estudo possibilitou a efetivação do treinamento parental a partir do olhar terapêutico ocupacional, sendo mediador do processo de potencialização das crianças assistidas com a contribuição da equipe multidisciplinar e participação familiar.
Dancing with Lions
Authors: Andrew Champlin
Published: May 2024

PhD project: Technique Concerns: Ballet Practice Against the Western Archive, Supervisors: Ruth Anderwald + Leonhard Grond

Envelope is a publication of the PhD in Art programme at the University of Applied Arts Vienna
SPIRAL BIKE – mobile concerts and sound art in public space
Authors: Conny Zenk
Published: May 2024

PhD project: RAD Performance – Driving Voices of Resistance, Supervisor: Ruth Schnell

Envelope is a publication of the PhD in Art programme at the University of Applied Arts Vienna
Editorial ART RESEARCH ENVELOPE #6
Authors: Alexander Damianisch  , Leonhard Grond  , Ruth Anderwald
Published: May 2024

The publication Envelope offers insights into ongoing PhD projects by candidates in the PhD programme PhD in Art at the University of Applied Arts Vienna in an innovative format. The major thrust of “Envelope” presents content supplied by doctoral researchers based on their individual artistic research and provides insights into ongoing work processes. These visual and textual traces reveal the state of the Art within its ongoing research processes. This open format seeks to reflect on experiences through exchange, as well as document relevant developments in the field of art and research.

Participating projects:

Sanja Andelkovic: Voice-Shifting as a Method: Eco-Gods in Future Orthodox Chants, Supervisor: Gerhild Steinbuch

Margit Busch: A Garden for a Fish, Supervisor: Virgil Widrich

Johanna Bruckner: Xenopoetic De/Compositions: The Affect-Body as Interface, Supervisor: Jakob Lena Knebl

Andrew Champlin: Technique Concerns: Ballet Practice Against the Western Archive, Supervisors: Ruth Anderwald + Leonhard Grond

George Demir: Ancestral Junctures: On the Expansion of Ancestral Mythologies, Supervisor: Hans Schabus

Rah Eleh: Xenofuturism: A Proposal for a Liminal Futurism, Supervisor: Bouchra Khalili

Wolfgang Konrad: Before the Truth in Documentary, Supervisor: Luzius Bernhard

Joseph Leung: Post-digital Angst – An Arts-Based Research on the Manifestations of Angst in the Digital Milieu, Supervisor: Gabriele Rothemann

Cristiana de Marchi: Casting a Shadow. On Disappearance, Emptiness, and the Haunting Power of Absence, Supervisor: Judith Eisler

Jo O’Brien: Confusion: As Resistance, as Relationship, and Towards the Relational, Supervisors: Ruth Anderwald + Leonhard Grond

Marthin Rozo Castaño: Art and Conservation in the Post-Conflict, Supervisor: Cristina Garcia Grinda + Efrén Diaz Moreno

Konstanze Stoiber, Untitled, Supervisor: Brigitte Felderer

Fabian Weiss: Ideal Self: How We Use Photography and Technology to Present and Optimise Ourselves, Supervisor: Margarete Jahrmann

Ksenia Yurkova: Figures of Reticence as a(bio)political Strategy, a Forced Necessity, and the Impossibility of Artistic Expression, Supervisor: Jakob Lena Knebl

Conny Zenk: RAD Performance – Driving Voices of Resistance, Supervisor: Ruth Schnell

Feel free to zoom in on each poster for ensured readability.
Homochiral Metalated Tetraphenylethylene-Based Organic Cages: Unusual Chiral and Luminescent Behavior Depending on Thermodynamic and Kinetic Aggregation
Authors: Zhou Xiao-Ping , Zhang Hao-Jie , Lai Ya-Liang , Yang Hu , Zhou Xian-Chao , Yuan Zi-Jun , Deng Li , Li Dan
Published: May 2024

Chirality and luminescence are important for both chemistry and biology,
which are highly influenced by aggregation. In this work, we reported a
pair of metalated tetraphenylethylene(TPE)-based organic cage
enantiomers, which feature a quadrangular prismatic cage structure.
These homochiral cages exhibit concentration-dependent chiral behaviors
alongside a propensity for thermodynamic aggregation. Aggregation caused
quench effect is found for these cages accompanying the increasing of
the concentrations. When a poor solvent is added to produce a kinetical
aggregation, the aggregation-annihilation circular dichroism and
aggregation-induced emission behaviours are observed for these
enantiomeric cages. By comparing these observations with the
photophysical behaviors of a pair of structurally similar organic
molecular enantiomers, the unique photophysical properties observed are
intricately linked to the metal-integrated TPE-functionalized cage
structures.
Cloud-Edge Architecture for the Precise Positioning of Autonomous Mobile Robots through a Fine-Tuned RNN
Authors: Mutti S. , Pedrocchi N. , Dimauro G.
Published: May 2024

The precise localization of mobile robots in unstructured
environments is of utmost importance for many industrial and field
applications, especially when the mobile robot is part of a more complex
kinematic chain, such as a mobile manipulator. Being able to precisely
localize affects the outcome of tasks that rely on an open-loop
kinematic computation, such as work-station docking procedures. To
achieve a repeatable and precise localization and positioning, mobile
robots generally rely on onboard sensors, most commonly 2D laser
scanners, whose readings are subjected to noise and numerous disturbing
factors (e.g., materials reluctance). Problems arise when precise
localization is needed in dynamic and unstructured environments where
generally applicable methods won’t perform adequately or might be
time-consuming to set up. In this work, we propose a cloud-edge
computing architecture to deploy a recurrent neural network (RNN) based
registration system, which uses a pair of consecutive LiDAR readings to
estimate a fixed transformation. The capability of RNNs to process
contiguous inputs will help neglect errors embedded in punctual laser
scanner readings and output a more precise registration estimation. In
such a way, the RNN can estimate a displacement error based on multiple
consecutive readings and act as a sensor to be employed in a closed-loop
control scheme. To tackle the dynamic and unstructured environments, the
model is firstly tuned on synthetic LiDAR data to embed rigid
transformations into the deep learning model, for then rapidly
fine-tuned on local scenarios. After model architecture and optimization
of hyperparameters, the devised model is tested in different scenarios,
comparing the precise positioning capability of the AMR(autonomous
mobile robot) with that of a classical registration algorithm. The
results suggest that an RNN model can greatly improve the registration
precision of laser scanner signals and, consequently, the precise
positioning efficiency of AMRs.
Biofilm Development, Senescence, and Benthic Substrate Influence Hyporheic Transport in Streams
Authors: Volponi Sabrina N , Tank Jennifer , Vincent Anna , Snyder Elise , Pruitt Abagael Nicole , Bolster Diogo
Published: May 2024

Understanding fate and transport within fluvial systems requires
accurate modeling of breakthrough curve (BTC) tails, which often display
non-Fickian behaviors. However, it is unclear how anomalous processes
relate to the physical and biological characteristics of the stream
ecosystem. We use the Stochastic Mobile Immobile model (SMIM) to
determine the impact of biofilm colonization among different substrate
types on reach-scale transport velocity (V) and dispersion (D), rate of
delivery to the subsurface (Λ), and retention within the subsurface
(reflected by power law slope; β). During summer 2020 and 2021, we
conducted a total of n=42 Rhodamine-WT releases in four experimental
streams lined with contrasting substrata (sand, pea gravel, cobble, and
a three-way mix) at the Notre Dame Linked Experimental Ecosystem
Facility (ND-LEEF) in Indiana (USA). To explore the effect of biofilm
colonization, we conducted releases under artificially shaded, early and
late biofilm development, and senescent biofilm conditions. We found
that replicated releases under constant conditions consistently
reproduced stream BTCs and modeled transport parameters. Biofilm
abundance, biofilm status (living versus dead), and substrate type
produced significant variations in BTC shape and transport
parameterizations. We found a non-linear relationship between algal
biomass and V, where increases in biomass produced decreases in V at low
biomass and increases in V at high biomass. Substrate type also
predicted patterns in transport, with sand producing higher V, Λ, and β
than larger substrata. These results suggest that substrate type acts as
the primary driver and biofilm development the secondary control on
transport in fluvial systems.
Fixed-nitrogen loss in a deoxygenating coastal ocean: Insights from the Estuary and Gulf of St. Lawrence
Authors: Pascal Ludovic , Cloutier-Artiwat Felix , Zanon Arturo , Wallace Douglas W.R. , Chaillou Gwenaelle
Published: May 2024

Bioavailable nitrogen governs ocean productivity and carbon fixation by
regulating phytoplankton growth and community composition. Nitrogen
input primarily results from fixation, while denitrification and ANAMMOX
removes bioavailable nitrogen in oxygen-depleted conditions.
Traditionally considered limited to highly suboxic (i.e., < 5
µM) waters, recent studies suggest fixed-nitrogen removal processes may
extend beyond, elevating global nitrogen loss estimates. This study
directly quantifies fixed-nitrogen loss across oxygen gradients (from
140 to 35 µM) along the Estuary and Gulf of St. Lawrence using N cycle
tracers (, and ). Notably, we observe significant production when
concentrations fall below 57-52 µM, including unexpected water column
fixed-nitrogen removal processes above suboxia. Benthic production
remains unaffected under intensifying deoxygenation from 50 down to 34
µM, but sedimentary nitrification contribution to denitrification
diminishes with intensifying deoxygenation. Combined, water column and
benthic fixed-nitrogen removal processes drive anomalies and strong
deficiency in bottom waters. Additionally, observed concentration
threshold triggers production, unveiling the profound impact of ocean
deoxygenation on nitrogen cycling, challenging conventional expectations
even at hypoxic concentrations.
REINVENTING THE MOSQUE ARCHITECTURE IN THE INDIAN CONTEXT
Authors: Jaiswal Shubham , Arif Mohd , Gupta Aman
Published: May 2024

According to the traditional definition, a mosque is just a place of prayer for Muslims, but that is not the intention. It should have served as a complex, social, and cultural structure for Muslim people. Though the contemporary facts will go against this argument, it should be kept in mind that the definition of a mosque shows that it should be an organization that contributes actively to the growth of the Muslim groups in the city. This paper intends to discuss the functional approach of mosque elements and their role in contemporary time and discuss the significance of Architectural symbolism in mosque design in the Indian context.
Climate change increases energy demand and cost in Texas
Authors: Dessler Andrew E.
Published: May 2024

This study focuses on the ERCOT electricity market in Texas and
demonstrates how climate change is already driving large increases in
electricity demand and total electricity costs. Results show that,
compared to a 1950-1980 baseline climate, electricity demand was 2.0 GW
(4.1%) higher because of the extreme temperatures of that year —
climate change contributed 45% of this increase, with the rest coming
from short-term climate variability. As demand increases, so does the
price per unit of electricity, so consumers are hit double: they must
buy more electricity, and each unit of electricity costs more. Using
data from the wholesale market, we estimate that the total cost of
electricity (the combination of higher demand and higher per-unit
prices) increased by $7.7B in 2023 compared to the baseline climate,
$295 per ERCOT customer, with most of this increase occurring during
the summer. Climate change contributed about 28% of this ($2.2B, $83
per customer), while short-term variability contributed the other 72%.
About two-thirds of this increase is due to price increases triggered
when the ERCOT grid reaches its physical limits, either in generation or
transmission capacity. Investments in increasing the power supply or the
ability to transmit it across the state, or reducing demand (e.g.,
demand response), could substantially reduce the impact of climate
change on the cost of electricity in Texas.
Validation of the Recap of Atopic Eczema (RECAP) Measurement Instrument for Eczema Control in Adult Patients in an Asian Clinical Setting
Authors: Yew Yik Weng , Phuan Crystal Zhen Yu , Zhao Xiahong , Howells Laura , Apfelbacher Christian J.
Published: May 2024

Recap of atopic eczema (RECAP) is a self-reported 7-item questionnaire recommended by the Harmonising Outcome Measures in Eczema initiative to measure eczema control. As RECAP has not been validated in a real-world clinical population in Asia, RECAP was investigated as a measure of eczema control in Singapore. Patients with atopic eczema at the National Skin Centre from July 2019 to January 2020 were included for analysis. Both patient- and physician-reported outcome measures were available for correlation analyses. Correlation analysis was also performed to investigate construct validity, and floor or ceiling effects of RECAP. A total of 260 atopic eczema patients aged between 15 and 87 years were recruited. There were minimal floor and ceiling effects for RECAP scores. There were strong, significant correlations of RECAP with POEM (r = 0.84, p < 0.001) and DLQI (r = 0.81, p < 0.001). Correlation with SCORAD was moderate (r = 0.60, p < 0.001). Correlations remained similar after age, gender, and ethnicity adjustments. Discriminative validity was demonstrated by a significant linear trend of increasing RECAP scores with increasing eczema severity. RECAP demonstrates good discriminative and construct validity evidenced by strong correlations with symptoms and quality of life and moderate correlations with eczema signs. RECAP is useful to measure eczema control in Singapore.
Associated Factors of Loneliness Among Adolescents in Indonesia during the Pandemic of Covid-19
Authors: Panggaribuan Santa Maria , Yemina Loritta , Widiastuti Sri Hunun , Purborini Nurul , Casman Casman
Published: May 2024

Outbreak of Corona virus disease (Covid) in 2020 affected people’s life, particularly adolescents. Loneliness was one of the problems that adolescents faced during the outbreak of Covid-19. Loneliness could affect adolescents health, both mental and physical health. On the other hands, there were a lot of factors that related to loneliness among adolescents. Therefore, the purpose of this study was to explore the factors associated with loneliness in adolescents in Indonesia during the Covid-19 pandemic. Methodology this study was a cross-sectional study. The respondents in this study were 590 adolescents. This study was using some questionnaires that distributed online by social media. The questionnaire included the Connor Davidson Resilience Scale (CD-RISC)-25, the UCLA loneliness Scale version 3, and demographic characteristics. Hierarchical linear regression was performed to investigate the determinant factors of loneliness among adolescents. Results       this current study found that age group of 16-19 YO (β = .117); female adolescents (β = .095); trust in one’s instincts, tolerance to negative affect, and strengthening effects of stress (β = .130); and spiritual influence (β = .094) were associated with increasing loneliness in adolescents. For the positive acceptance of change, and secure relationship (β = -.289); and control (β = -.273) were associated with lower likelihood of having loneliness. Conclusion         this current study found that age group of 16-19 YO; female adolescents; trust in one’s instincts, tolerance to negative affect, and strengthening effects of stress; and spiritual influence were associated with increasing loneliness in adolescents. For the positive acceptance of change, and secure relationship; and control were associated with lower likelihood of having loneliness. The current results, particularly the identification of associated factors, should be useful for developing loneliness-prevention program.
Experiências curriculares na educação de jovens e adultos
Authors: Campesato Maria Alice Gouvêa
Published: May 2024

Este artigo, que traz o recorte de duas pesquisas no campo educacional, pretende problematizar o currículo escolar contemporâneo, pautado por uma lógica empresarial e atravessado por movimentos conservadores, para responder à pergunta “de que currículo precisamos em tempos de democracia fraturada, subtração de direitos sociais e crise sanitária?” Para tal, analisa o currículo de uma escola pública de Educação de Jovens e Adultos do município de Porto Alegre, cujas práticas permitem perspectivar outros modos de existência e outros mundos possíveis. Como ferramental teórico-metodológico utiliza-se de conceitos foucaultianos para analisar os documentos da instituição pesquisada. Conclui que o currículo analisado constitui-se como importante dispositivo de (re)existência em épocas de individualismo, fragmentação e intolerâncias.
Children’s Voice as a Parameter of Ryan’s Model for Promoting Inclusive Education: The Case of Greece
Authors: Foykas Evaggelos
Published: May 2024

The choice of the appropriate model of educational leadership for the promotion of inclusive education is a key issue for contemporary educational policy. This paper focused on the role of children’s participation in democratic school leadership based on the Ryan model in order to promote good inclusive education practices in primary schools. Five school principals from different schools in Athens, Greece, participated in this research. The research showed that involving children in school leadership through a range of activities can enhance the participation of all children in the daily life of the school. This article concludes with a discussion, suggestions and limitations on using student voice as part of school leadership to strengthen inclusive education.
Mekanisme Valensi Morfologis pada Verba Bahasa Indonesia
Authors: Herpindo Herpindo , Wulandari Sri , Ristiyani Ristiyani , Nikmatullah Miftahula Rizqin
Published: May 2024

As a language with agglutinative morphology type, Indonesian has not shown serious firmness in various morphological cases, especially valency mechanism caused by morphology + verb process. To deeply dissect the valency mechanism, especially inflected verbs in Indonesian, a qualitative method with descriptive type is used with agih (distributional) method and direct element sharing technique to analyze the data. The results of this study show the existence of valency mechanisms in the form of inflected verbs in Indonesian, namely (1) valency increase in the causative morphological structure with {meN-kan} marker, (2) valency increase in the benefactive applicative structure with {di-kan} marker, (3) valency increase in the locative applicative structure with {meN-i} marker, (4) valency decrease in the ergative sentence structure with morphological cases {ter-}, {ke-an}, and {∅}. This study shows various valency mechanisms that are dominant in inflected verbs even though in some cases they appear in ergative forms that do not have markers.
Pengembangan Bahan Ajar Menyimak Bahasa Indonesia bagi Penutur Asing (BIPA) Berbasis Video Animasi di KBRI Ankara
Authors: Suhendra Nadha Nuur Annisa , Muliastuti Liliana , Eriyani Reni Nur
Published: May 2024

This study developed teaching materials to improve listening skills for learners of Indonesian as a Foreign Language (BIPA) at the Indonesian Embassy in Ankara. Following Thiagarajan's 4D model (Define, Design, Develop, Disseminate), a needs analysis identified learner requirements. The design phase focused on creating materials, particularly animated videos, to enhance listening comprehension. Development involved creating the materials and obtaining feedback from subject matter and media experts for BIPA 1 learners. Dissemination included internal validation by BIPA instructors and user testing with learners and teachers. Validation results from subject matter and media experts categorized the materials as "Feasible" and "Very Feasible," respectively. User feedback yielded an average score of "Very Feasible." These findings suggest the developed materials are highly suitable for enhancing BIPA 1 listening skills at the Indonesian Embassy in Ankara.
Metode Debat dalam Pembelajaran: Sebuah Upaya Peningkatan Kemampuan Berpikir Kritis Mahasiswa
Authors: Nasir Muhammad , Fendi Hasri , Indriyani Vivi
Published: May 2024

The ability to think critically is an important skill today, especially in facing the era of development of knowledge and technology in the 21st century. With this ability, students can analyze the truth of information both heard and read. However, this skill is still in a low level category so efforts are needed to improve it. One effort is to use innovative learning methods that can improve students' critical skills, namely the debate method. The aim of this research is to evaluate the level of critical thinking skills of BSA Study Program students, test the effectiveness of the debate, and provide academic suggestions for study programs and lecturers to improve the quality of learning that focuses on developing BSA students' critical thinking skills. This research method uses an experimental method. The subject of this research is the BSA Study Program, Faculty of Adab and Humanities, UIN Imam Bonjol Padang. This research data consists of two things, namely students' skills during debate and students' critical thinking abilities which were tested through tests. This research concludes that the debate method is effective in improving students' critical thinking skills and students' ability to build arguments, which can be achieved through structured and theory-based exercises. These findings can be widely used to train students' critical thinking skills and as a learning strategy in class by lecturers.