bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of disaster events on regional food security spatially: A geographically weighted regression model
Authors: Noor Trisna Insan , Sulistyowati Lies , Yudha Eka Purna , Setiawan Mohamad Arief , Syakirotin Muthiah , Wicaksono Samuel Lantip , Suardi Tennisya Febriyanti
Published: April 2024

Natural disasters are one of the events that threaten food security in every region in Indonesia. Ciamis District is one of Indonesia's areas prone to natural disasters. One of the impacts of a disaster is on the agricultural sector because it will determine food security in the area and can affect the socio-economic community. This study aims to analyze the Geographically Weighted Regression (GWR) Model of the Effect of Disaster Events on Food Security. This study used quantitative methods, and data sources were obtained through secondary data searches. Data were processed using a Geographically Weighted Regression (GWR) analysis tool through a quantitative descriptive analysis approach. The results showed that the natural disasters directly or indirectly impacted food availability and security in Ciamis District. Natural disasters still occur even though food availability, affordability, and utilization are quite good. There are other factors, namely disasters, that come suddenly and cannot be predicted, thereby affecting the food security of a region. Efforts are needed to create togetherness in society to anticipate and respond to disaster events. In addition, it is expected that each individual can take the necessary actions to solve problems independently.
The Impact of Human Genome on Interindividual variability in Drug Response
Authors: Swamini Dumbare , Nandini Kumavat , Mankar S. D.
Published: April 2024

Pharmacogenomics is an important aspects of clinical genomics i.e an increasingly large number of patients it have extremely broad cast application a pharmacogenomics has evolved from early Pharmacogenetic studies of candidate gene often genes. Pharmacogenomics has the potential to mitigate adverse drug reaction and optimise pharmaco therapy in individual it has the potential to revolutionize the practice of medicine and promises to in an area of personised medicine in which drug and drug combination optimised for each Individual unique genetic makeup. It is well recognised that most medications exhibit wide interpatient variability in their efficacy and toxicity. For many medications interindividual differences in polymorphism of incoding genes in drug metabolising enzymes drug transporter, Target drugs eg. receptors, enzymes. The ultimate goal is to provide new strategies for optimising drug therapy based on each patient genetic determinants of drug efficacy and toxicity.
An Overview on Plant-Based Polyphenols Antidiabetic agent for their Potential Pharmacological and Pathophysiological Mechanism
Authors: Singh Arjun , Sehgal Hemant , Kumari Priyanka , Sharma Sachin , Sharma Divya , Singh Akanksha
Published: April 2024

Recent studies shown that the data of clinical, experimental and epidemiological studies indicates that dietary phytoestrogens, flavonoids and polyphenolic compounds have shown most potent activities for prevention in diabetes. The major class of compounds found in phytoestrogen. Diabetes mellitus (DM) is a common endocrine metabolic disorder. Oral anti-diabetic drugs, in addition to exercise and diet, have been used as part of the global management strategy. Unfortunately, no conventional anti-diabetic drug is without side effects, and these drugs are expensive. As a result, researchers face a significant challenge in investigating novel anti-diabetic regimens, with nature serving as the primary resource for the discovery of potential therapeutics. Many plants have been shown to act as anti-diabetic agents, with polyphenols being the main active constituents. Natural products with high polyphenol levels can regulate carbohydrate metabolism through a variety of mechanisms, including protecting and restoring beta-cell integrity, increasing insulin releasing activity, and increasing cellular metabolism. Based on the intriguing results of various studies, prophylactic and therapeutic potential of antidiabetic friendly natural products have been suggested.
Awareness and Attitude of Medicine Consumers towards ADR Reporting: A Questionnaire based study of Rural Chhattisgarh
Authors: Ahmed Tabish , Kaikade S.B.
Published: April 2024

The National Pharmacovigilance Programme is coordinated by the Indian Pharmacopoeia Commission at Ghaziabad. The Pharmacovigilance Programme of India (PvPI) is now in full swing. We have a network of some 90 adverse drug reaction (ADR) Monitoring Centres (AMCs) across the country. The programme provides financial, logistic and technical support to the AMCs. Initially, only health professionals could report the ADR. Recently PvPI has included all people who consume medicine and not just health professionals, to report ADR. A toll free consumer helpline (1800 180 3024 operational on weekdays during office hours) and a dedicated email address (PvPI.compat@gmail.com) have been launched to encourage people to report ADRs. Aim and objectives: To study awareness and attitude of medicine consumers towards ADR reporting Materials and methods: This is a questionnaire based study where consumers will be given the questionnaire regarding ADRs and their reporting. Study plan: Time duration - 3months. Discussion: It is important to spread awareness and importance about ADR reporting amongst the general population.
Intelligent Monitoring of Protection Devices in Power system with Enhanced Faster R-CNN
Authors: Longxing Jin,
Published: April 2024

Relay protection devices are necessary to guard the power system safety and stability. With the significant number of substations and relay protection devices, the maintenance workload has become difficult due to limited manpower, posing hidden dangers to the reliable operation of protection devices. In view of this, this article proposes an enhanced Faster R-CNN algorithm to diagnose the relay protection devices based on image monitoring. The proposed algorithm uses RestNet50 as the main tool to recognize features from input images to generate feature maps. Meanwhile, to improve the image detection accuracy, the Non-Maximum Sup-pression (NMS) algorithm in regional suggestion network (RPN) is optimized from solid thresh-old to soft threshold. By combining the images captured by the surveillance camera, intelligent inspections are conducted on the status of the pressing plate, fiber bending, external object retention, and other items in the relay protection device. A great number of samples are used to train networks for different tasks. The results indicate that the enhanced Faster R-CNN has a higher image recognition rate, and the recognition accuracy of each inspection item for the protection device is higher than 95%.
Development and Research of Safety Video Monitoring System for Loading and Unloading of Chemical Products in Railway Transportation
Authors: Zhentang Chen Zhengxin Lan,
Published: April 2024

As the important position of chemical railroad transportation in modern logistics is becoming more and more prominent, its safety problem has attracted wide attention. To improve the safety of transporting chemicals by rail, this paper strives to develop an advanced safety monitoring system. The main background of this paper is the serious potential results of chemical products railroad transportation accidents which require an effective monitoring method to prevent. The purpose of this research is to design and realize an efficient and reliable video monitoring system to monitor the loading and unloading of chemicals transported by railroads in real-time. To achieve this goal, we adopted comprehensive methods, including video image recognition technology, data analysis technology, communication network technology, etc., which have significant meaning in preventing railroad accidents of chemical product transportation and safeguarding people’s life and property.
Research on AI Empowered Future-oriented All Space-time Intelligent Tourism Logistics Distribution System
Authors: Haixia Bai
Published: April 2024

In the era of intelligence, tourists urgently need a new tourism model to free themselves from the heavy logistics burden and meet their personalized, convenient, and enjoyable needs. On the other hand, there is a strong symbiotic relationship between the logistics industry and the tourism industry, which providing the greatest possibility and space for strategic collaboration between the two. However, for a long time, the two industries have been independent and isolated from each other, and tourism logistics, as an important market with a massive economy and the ability to create great tourism experiences for millions of tourists, has not yet been fully explored. Based on this, this paper views the tourism logistics system as an open and independent whole based on holism and synergy theory. Based on AI technology, by restructuring and integrating the tourism logistics activity process, we design a future oriented whole space and multi scenario tourism logistics distribution system, to promote high-quality development of the tourism industry and build a more efficient tourism economic order.
Research on decoupling greenhouse temperature and humidity based on feedback linearization
Authors: Mingge Wu
Published: April 2024

In order to improve the control effect of each environmental factor of conventinal glasshouse, a realistic nonlinear glasshouse system feedback linearization decoupling control arithmetic has been reported. The multi-input, multi-output system which is nonlinear is turned into two detached single-input, single-transport stepwise linear systems by implementing the encoder algorithm, and the relation of the ambient components, which is strong coupling, such as the temperature and humidity, is alleviated. The simulation results show that if the target value of the environmental factor is within a proper controllable range, the controlled system of greenhouse temperature and humidity can achieve a good following effect, eliminate the coupling between temperature and humidity, and improve the accuracy of temperature and humidity control, which can effectively reduce energy consumption and improve the comprehensive benefit of greenhouse production. Precision of temperature and humidity control, which can effectively reduce energy consumption and improve the comprehensive benefits of greenhouse production
Research on The Times Value of Village Public Sports Space Planning: Theoretical Logic, Practical Approach and Big Data Application Exploration in The Background of Rural Revitalization
Authors: Yuanyuan Dai
Published: April 2024

It is the key to the implementation of the rural revitalization strategy and the inevitable way to use big data to help the spatial planning of village sports, improve the efficiency of spatial allocation of resources, and promote the high-quality development of rural sports. This paper mainly adopts research methods such as literature materials and logical analysis to explore the Times value of village public sports space planning, expound the theoretical logic and practical difficulties of village public sports space planning, and then propose practical approaches and big data application exploration. The research finds that the Times value of village public sports space planning is reflected in the aspects of increasing the effective supply of public sports space, stimulating the spillover value of public sports space, and satisfying the ardent yearning for a better life. Based on the theoretical logic of continuous co-construction, co-governance and sharing, dynamic improvement of suitable adaptation, long-term improvement of convenience and safety, and steady integration into livability and business. It is found that the planning of village public sports space is faced with such realistic difficulties as the imbalance of resource supply standards and allocation among villages, the weakening of residents' participation in planning, the lack of guidance in technical operation and planning layout, and the insufficient coupling degree between public sports space and village environment. It is proposed that the planning of village public sports space should follow the practice path of overall planning of inter-village sports service resource supply, mobilizing residents' enthusiasm to participate in spatial planning, enabling the layout and location of sports space with digital technology, and forming diversified public sports service supply.
Lifelong Learning System in the age of Artificial Intelligence: Change, Opportunity and Reconstruction
Authors: Peng Qiaoxia
Published: April 2024

Artificial Intelligence advances the offline and online education, digital education and virtual education, eventually all the way to lifelong education with online, digital and virtual Characteristics. In the era of “Artificial Intelligence” (AI), computer technology, Internet technology, big data technology, and cloud computing technology have been widely used in all life and work, making the information dissemination space broader and faster. Information Space provides a platform for new knowledge acquisition and learning for education. The lifelong learning system for the whole population has been updated to break through the modes and limitations of traditional education and meet the needs of all people. This paper first analyzes the connotation and characteristics of lifelong learning for all and points out the current policies and opportunities. Finally, it proposed to build a high-quality, efficient, and sustainable comprehensive lifelong learning system to form an excellent social learning situation in which "everyone can learn, everywhere can learn, and always can learn.” To enhance lifelong learning, efforts focus on expanding the main body responsible for learning, building intelligent learning environments, and providing precise guidance based on educational needs. It is also essential to improve feedback mechanisms, service places, and create an integrated online platform, alongside establishing knowledge-based organizations. This research focus on accountability and quality in lifelong learning since it is evolving with new technologies and opportunities. At the same time, it can expand learning, create an intelligent environment, improve feedback, and establish an online educational platform. This will provide inclusive and high-quality educational opportunities to all learners.
Research on the Actual Sentence Partition and Translation of Chinese Cultural Landscape Discourses Based on Natural Language Processing Technology
Authors: Xu Jun
Published: April 2024

In recent years, ChatGPT has been extensively applied across various fields, with translation being one of them. The objective of this study is to investigate the influence of Natural Language Processing (NLP) technology on the translation process. The research method involved utilizing the concept of Actual Sentence Partition (ASP) within the framework of Function Sentence Perspective (FSP). ASP, introduced by V. Mathesius, the founder of the Prague School, divides sentences into the point of departure and the nucleus of an utterance, providing insights into their communicative and semantic characteristics. Conversely, Formal Sentence Division (FSD) solely focuses on marking grammatical elements without identifying the correct ASP, resulting in ambiguity and inaccuracy. In Chinese discourse, incomplete sentences are commonly observed, including the omission of known information and the use of multiple clauses. Consequently, when translating from Chinese to English, it is crucial to appropriately visualize the hidden information in Chinese and analyze Chinese discourse using ASP to reconstruct its equivalent in English. The findings of this study emphasize the significance of ASP in translation. By understanding the ASP, translators can better comprehend the intention and meaning behind Chinese discourse, ensuring a more accurate and faithful representation in English. Therefore, the application of ASP in translation serves as a valuable tool for bridging the linguistic and cultural gaps between languages. In conclusion, ASP, as a pivotal concept in FSP, offers a comprehensive framework for understanding and translating complex sentence structures in Chinese discourse. By utilizing ASP, translators can capture the communicative and semantic nuances of Chinese sentences, leading to more accurate and effective translation outcomes..
Influence Factors of Digital Economy on the Willingness of Equipment Manufacturing Industry to Green Production in the Era of Artificial Intelligence
Authors: Meng Shang
Published: April 2024

In the age of artificial intelligence, the digital economy significantly promotes green production in manufacturing. It optimizes processes, recycles resources, drives green tech innovation, and boosts product sustainability. While there's ampleresearch on green manufacturing, studies linking it to the digital economy are limited. Given the machinery manufacturing sector's strategic importance and China's focus on green, sustainable manufacturing, this study bridges that gap. Using the Theory of Planned Behavior (TPB) and Normative Activation Model (NAM), it examines how the digital economy influences green production intentions in equipment manufacturing. The study surveys Middle Eastern equipment manufacturers, analyzes the data with SmartPLS, and finds that the digital economy positively impacts green production via personal norms, responsibility, consequence awareness, attitudes, and cost savings. These factors mediate the relationship between the digital economy and green production intentions. The paper concludes with practical recommendations based on these findings. In the era of artificial intelligence, how the digital economy provides a new path to the green production of the manufacturing industry, and provides a theoretical reference for the sustainable development of the equipment manufacturing industry.
Measurement and Countermeasures for College Students’ Emotions and Attitudes Post-popular Feelings Events: An Analysis Based on Smart PLS Model Data
Authors: Dong Guo Jing Wang,
Published: April 2024

To accurately gauge the emotional and attitudinal responses of college students post-popular feelings events, and to formulate scientifically sound strategies for managing public sentiment effectively and forestalling secondary quandaries, a pioneering big data simulation approach is introduced. This method, utilizing big data collection and processing techniques, entails the random sampling of a substantial number of college students to gather evaluative data on their emotional and attitudinal shifts before and after popular feelings events, as well as the efficacy of countermeasures. Subsequent to this, the amassed data undergoes meticulous fitting analysis via the Smart PLS 4.0 software. Noteworthy among the impact coefficients are negative emotions (r=0.146), negative attitudes (r=0.132), and the pivotal role of student opinion leaders (Loading=0.921). The standardized root mean square residual (SRMR) of 0.049 underscores the confirmatory model’s relevance. Results underscore the need for countermeasures to place a significant emphasis on mitigating negative emotions among college students. Selection of student opinion leaders and the establishment of rumor-refutation teams emerge as vital components of these response initiatives.
Research on Computer Artificial Intelligence Algorithm to Optimize Physical Training Intensity and Recovery Cycle Model
Authors: Qingfeng Shi Jun Guo,
Published: April 2024

This paper established an association model between high-load training and cardiac damage to minimize sports injuries. It is a key condition to promote the development of modern sports. This project intends to use 8 biochemical parameters related to high-load training to build a mathematical model of high-load training-myocardial damage. A mathematical model for high load training and cardiac damage was established. Firstly, based on sparse feature representation method, the biochemical mechanism model of high-intensity training was constructed. The energy supply law of intramuscular energy supply and the dynamic law of glycolysis energy supply during exercise were extracted. Eight biochemical parameters were obtained after high intensity training. To construct an accurate association between high-intensity training-heart damage by measuring the correlation between eight indicators of performance. The validity of the model is verified by simulation.
The Impact of Network Teaching Mode on Teaching Quality in The Context of Big Data: A Case Study of College Foreign Languages
Authors: Lin Shaonan
Published: April 2024

Under the heritage of massive data, community education has been extensively used in the area of education and has an essential effect on education quality. Taking university English education as an example, this paper analyzes the impact of community instructing mode on education quality. First of all, the paper introduces the influencing elements of community instructing fantastic below the heritage of massive data. Secondly, primarily based on regular differential equation (ODE), particle swarm optimization (PSO), and least square help vector computing device (LSSVM), a university English educating great assessment mannequin is constructed, and the impact of English educating in a positive college is tested. The effects exhibit that in contrast with different present comparison systems, the proposed assessment mannequin has benefits in pace and accuracy, and the contrasting impact is the best.
GaN-HEMT Performance Enhancement
Authors: Fatma M. Mahmoud
Published: April 2024

In this work, a simulation analysis and calibration are carried out to improve the performance of AlGaN/GaN- MOSHEMTs (Metal-Oxide Semiconductor High Electron Mobility Transistors). The effect of the AlGaN layer thickness, gate length, Al mole fraction, and the interface traps on the electrical performance of the device has been presented. Device simulations have been done using Sentaurus technology computer-aided design (TCAD). The simulations and analysis show better drain current, transconductance, and cut-off frequency performance. The maximum cut-off frequency shown by the proposed HEMT device is 45.7 GHz at 100-nm gate length. Good transcoductance has been obtained by scaling down the gate length of the device, which is ascribed to the present two-dimensional electron gas (2DEG) density that supports upgrading the output current. Higher drain current is achieved without using acceptor-like traps in the Al2O3/AlGaN interface. Results show that the Al2O3/AlGaN/GaN-based MOSHEMT is a promising device for high-frequency and power electronic applications.
A Comparative Study Between Eccentric Strengthening and Grip Strengthening for Forearm Weakness in Individuals of Dental Practices
Authors: Mebin Sojan Thomas
Published: April 2024

Dental professionals require job-related physical demands that may lead to forearm weakness. This can make tasks involving gripping, lifting, and manipulating objects challenging. Hence, the study aims to investigate the impact of eccentric strengthening and grip strengthening for forearm weakness in individuals of dental practices. In the current study, 53 individuals met the inclusion criteria and provided their consent to participate. The individuals taking part in the study were assigned to two different groups, namely Group A and Group B, Group A(27) received the Eccentric exercise and Group B (26) received the Grip Strength exercise. The results of assessments for categories were assessed with an inch tape to measure the forearm circumference and 1 RM with the dumbbell. Two different sets of exercises were given to groups A and B for 5 days each week over a 4-week period. Individuals in dental practices with forearm weakness showed significant differences in the effectiveness of treatment between Group A and Group B. Both training methods were useful at increasing strength. The study results revealed a significant increase in the functional status of the forearm and optimum strength of grasp in the group A. During the dentists' training, eccentric strength therapy significantly increased their forearm strength.
The Smart Agriculture System Using IOT and ML
Authors: Siddhi Vijay Ghadge
Published: April 2024

Numerous countries have abundant resources, including land, rivers, groundwater, the environment, with agriculture serving as the primary source of income for many people in country. Nonetheless, resource shortage has grown in recent decades, particularly for groundwater and river water, so remote control smart irrigation system is developed to avoid access use and loss of water in the agriculture. A lack of information about the best use of available resources leads to increased resource consumption and worse crop yields. Choosing crops that are unsuited for the soil or climate reduces both quality and quantity of crop. As a result, system that recommends appropriate crops and fertilizers based on soil NPK values, soil colour, Season, PH, Rainfall, temperature etc has been developed. Fires are one of the most destructive global disasters, thus early detection is necessary to avoid the damages in agriculture. To reduce losses, an automated system capable of early fire detection through alarm systems and prompt extinguishing procedures through the roof structure pipeline in the farm is developed. Another use of that same pipeline is for spraying the pesticides and fertilizers. A potential resolution to address all these challenges involves the development and implementation of an intelligent agricultural system integrating Internet of Things (IOT) and Machine Learning technologies.
Real-Time Clickstream Analytics with Apache
Authors: Milind Gayakwad,
Published: April 2024

The purpose of this research work is to provide an overview of setting up an Apache-based real-time clickstream data lifecycle for user behaviour analysis and marketing strategy improvement. It uses tools like Apache Kafka, Apache Spark, Amazon S3, AWS Glue Data Catalog, Hive Metastore, and Tableau to meet the challenges of data collecting, purification, and storage. The design offers rapid data processing and analysis using Spark, high-throughput and fault-tolerant data import with Kafka, and scalable storage in Amazon S3. Data retrieval, querying, and transformation are made easier by AWS Glue Data Catalogue and Hive Metastore, while Tableau offers interactive visualisations. Data management capabilities are improved by optional interaction with a data warehouse and data lake. The scalable architecture accommodates increased data quantities and user traffic, and a mathematical model derives useful insights from clickstream data.
Development of Improved Weighed Quantum Lion Optimization with Smooth Support Vector Machine for Alzheimer’s Disease
Authors: Raveendra Reddy Enumula
Published: April 2024

Accurate diagnosis of Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI) was identified on an early stage is essential in the healthcare industry to stop degeneration. The Smooth Support Vector Machine (SSVM) model, Principal Component Analysis (PCA), feature extraction, and Magnetic Resonance Imaging (MRI) image prepossessing are the components for the diagnosis of AD is proposed in this research at early stage. To assist in the classifier's training, we proposed a novel Improved Weighed Quantum Lion Optimization (IWQLO). The SSVM parameters are specifically proposed to be optimized using a new Switching delayed Lion Optimization (SLO) algorithm. The IWQLO-SSVM approach was effectively used to classify AD and MCI utilizing MRI scans of the Alzheimer's disease Neuroimaging Initiative (ADNI) database and Outcome and Assessment Information Set (OASIS) database. For six example scenarios, the classification accuracy of our proposed method is acceptable. Testing show that the proposed approach improves the performance measures such as accuracy, precision, specificity, sensitivity and recall for detecting the early stage AD diagnosis.
Design of a Novel Converter Topology for Micro Grid Applications
Authors: Devulal.B
Published: April 2024

The Renewable Energy Sources (RES) are the primary source of energy because of reduction in fossil fuels day to day. The primary resource in all available non-conventional energy sources is solar energy. Solar energy is obtained normally from Photo Voltaic (PV) cells. In PV cells a photo diode is used which converts the sun irradiation into DC voltage, which is normally a low value, so this is not sufficient to run the electrical loads which are connected to the micro grids. To avoid this problem, a novel boost converter is needed to improve the voltage profile, but it has a problem of high ripple content in voltage profile, which is not preferable for giving as I/P to the Inverter. Normally inverter will take constant DC as an I/p and convert into Alternating Current (AC) voltage. To avoid the above-described ripple, a novel hybrid Pulse Width Modulation (PWM)  based DC -DC converter is presented in this paper along with a SPWM inverter circuit which finds its applications in micro grids. The distinctive topologies of 13 and 21 level inverter have been analyzed with reduced number of switches. In traditional topologies a greater number of switches are required, and it can be decreased by planning the diverse topologies. The current distinctive topology is described and compared with the conventional configurations and the corresponding results are presented. With this, it can be observed that the proposed topology gives the better outcomes. This can be utilized as a part of various micro grid inverter applications.
Investigations of Mechanical Properties and Maximum Load Capacities under Abuse Testing of Lithium Ion Battery
Authors: Sonali Sabale
Published: April 2024

Lithium-ion batteries are crucial in driving the various technological applications’ innovation. In this regard, it is important to ensure the safety and reliability of LIBs as a matter of public concern. This paper explores the mechanical properties and abuse testing’s maximum load capacities, highlighting the testing’s abusive conditions. The focus is to deepen a broader understanding of the extreme mechanical load and the battery behavior responses. Based on the extensive abusive testing procedures, drop, impact, crush or penetration, and thermal runaway tests, the mechanical responses and failure modes of LIBs at the cell, module, and pack levels were analyzed. This work, is based on the drop and impact test, using solidworks simulation to establish the abuse testing impacts on battery mechanical and electrical properties. The model for conducting the tests was the 18650 lithium ion cell battery, subjected to the front, side and rear impact at various heights and velocities with reference safety standard AIS 156 and AIS 048. Mechanical properties and maximum load capacities’ correlation was described, illuminating the crucial failure mechanisms and feasible mitigation approaches. The derived insights from the abuse testing have a significance to the design, safety and reliability of the LIB-based energy storage systems to guide the future research and development in safer and robust battery use.
Intermittent Operations of District Heating Networks in Summer Months
Authors: Vannahme Anna , Müller Simon , Schmitt David , Summ Thorsten , Trinkl Christoph , Schrag Tobias
Published: April 2024

In the OREWA project, optimization measures for existing heat networks were identified and assessed based on both economic and ecological considerations [1]. One of the focal investigations was the simulation of intermittent operational strategies tailored for the summer months. Next to the classic intermittent approach an innovative variation was explored, which involved the storage of hot water during intermediate phases in large central tanks to further minimize heat losses. Both the classic and innovative intermittent strategies showcased substantial reductions in network losses and energy consumption for circulation pumps. This research shows the melioration of heat network efficiency through a substantial reduction of summer heat losses for a network with a low heat demand density of 0.7 MWh/(m²·a).
Use of Waste Heat Potential and Flexibility Elements to Speed up Decarbonisation in Austrian Thermal Spas
Authors: Seidnitzer-Gallien Carina , Stelzer Roman , Dragosits Sebastian
Published: April 2024

Austria's 38 thermal baths offers a unique opportunity to harness deep hydrothermal geothermal energy, reducing their reliance on fossil fuels and decreasing CO2 emissions by over 50,000 tonnes annually. The GEOMAT project's core focus is on efficiency enhancement by integrating various heat pump technologies, optimizing energy management, and transitioning to renewable energy sources for complete decarbonization. Geothermal energy is pivotal for Austria's sustainable energy future, with a particular emphasis on making it economically appealing for significant energy consumers, including thermal spas, municipalities, energy providers, and industries. By leveraging innovative heat pump systems and intelligent control concepts, GEOMAT aims to maximize energy efficiency and create flexibility in electricity and heating networks, thereby fostering synergy and systemic benefits.
Soberanía alimentaria indígena en tiempos del covid-19: un estudio de caso en Santa Catarina Minas, Oaxaca, México
Authors: Rieger Ivy
Published: April 2024

The information presented in this article derives from ethnographic research conducted with members of the Zapotec Indigenous community of Santa Catarina Minas (Oaxaca, Mexico) on their experiences, achievements, and challenges associated with food sovereignty practices in their community during and after the COVID-19 pandemic. The study aimed to identify and analyze the relationships present between cultural traditions, food, and disease and how these have influenced the social perceptions and practices experienced during the pandemic and up to the present. The methodology employed for the project included qualitative research techniques such as participant observation, interviews, audiovisual documentation, and surveys based on three fieldwork stays in the study community for a total of approximately forty days. The main research findings focus on the exploration of the dichotomy between gastronomic practices and what I classify here as symbolic food, both being essential for health, social well-being, and cultural identity in this community during and after the pandemic. The main conclusion consists of evidencing the preexistence of a relevant link between food sovereignty practices in the community that directly helped the residents of Santa Catarina Minas to cope with the challenges of COVID-19—a link that has also provided new socioeconomic opportunities after the pandemic. This article is relevant due to its novel contributions to the field of anthropological knowledge on indigenous experiences during the COVID-19 pandemic in Mexico, as well as its original analysis of food sovereignty practices in these communities in the contemporary context.
Adieu Bias: Debiasing Intuitions Among French Speakers
Authors: Franiatte Nina , Boissin Esther , Delmas Alexandra , De Neys Wim
Published: April 2024

Recent debiasing studies have shown that a short, plain-English explanation of the correct solution strategy can improve reasoning performance. However, these studies have predominantly focused on English-speaking populations, who were tested with problem contents designed for an English-speaking test environment. Here we explore whether the key findings of previous debiasing studies can be extended to native French speakers living in continental Europe (France). We ran a training session with a battery of three reasoning tasks (i.e., base-rate neglect, conjunction fallacy, and bat-and-ball) on 147 native French speakers. We used a two-response paradigm in which participants first gave an initial intuitive response, under time pressure and cognitive load, and then gave a final response after deliberation. Results showed a clear training effect, as early as the initial (intuitive) stage. Immediately after training, most participants solved the problems correctly, without the need for a deliberation process. The findings confirm that the intuitive debiasing training effect extends to native French speakers.
Livro e pensamento gráfico em Guimarães Rosa
Authors: Novakoski Carvalho Rhaysa , De Castro da Silva Gustavo
Published: April 2024

Este artigo apresenta o levantamento de materiais visuais criados por João Guimarães Rosa, desde o processo criativo até as etapas de editoração de seus livros. Por meio de pesquisa bibliográfica e de arquivo, o objetivo foi descrever e discutir o exercício da prática denominada de pensamento gráfico, ou seja, a atividade de projetação e exteriorização do pensamento por meio de traços no papel. Como resultado da investigação, foi organizada uma classificação com cinco categorias de desenhos e rascunhos criados pelo escritor: i) rascunhos livres; ii) gráficos; iii) mapas; iv) rascunhos de índices e capas, e; v) desenhos explicativos. Ao longo do artigo, tais classificações são listadas e descritas, de modo a identificar e entender algumas das maneiras como Guimarães Rosa trabalhava a visualidade em sua obra, com ênfase nas fases de planejamento.
As metáforas nas interações com discurso de ódio
Authors: Valerio Patricia da Silva , Karine Alves da Silva Letícia
Published: April 2024

Este trabalho tematiza a metáfora como parte integrante da linguagem humana e visa compreender o papel dessa figura de linguagem como justificativa na profusão de discursos violentos ou de ódio. O artigo apresenta uma etapa de uma pesquisa em desenvolvimento e busca descrever a metáfora a partir de duas perspectivas: a primeira, com base nas origens do conceito, a partir da filosofia da linguagem; a segunda, com base na linguística cognitivista. O estudo sobre o papel das metáforas na linguagem revela como esse recurso argumentativo representa importante estratégia na construção dos discursos que veiculam violência verbal.
Hızlandırılmış Makine Öğrenmesi Algoritmaları ile Tarım Parseli Tabanlı Ürün Desen Sınıflandırması
Authors: Şimşek Fatih Fehmi
Published: April 2024

Gelişen teknoloji sayesinde, uydu görüntüleri ve uzaktan algılama çalışmaları, tarım alanında öncü çalışmalar arasında yer almaktadır. Tarımsal ürün desen tespitinde en yaygın kullanılan yöntemlerin başında ise uzaktan algılama teknolojisi gelmektedir. Uydu görüntüleri ve uzaktan algılama teknolojisi ile oluşturulan ürün desen haritaları, Tarım ve Orman Bakanlığı tarafından destekleme ödemelerinde altlık olarak aktif bir şekilde kullanılmaktadır. Bu çalışmada, çalışma alanı olarak Eskişehir İli, Seyitgazi ve Sivrihisar İlçe sınırları içerisinde kalan alan seçilmiş, çok zamanlı Sentinel-2 görüntüleri ve hızlandırılmış makine öğrenme algoritmaları (GBM, XGBoost, LightGBM, CatBoost) kullanılarak obje tabanlı (tarım parseli) sınıflandırma çalışması yapılmış ve sonuçlar karşılaştırılmıştır. Yapılan çalışma sonucunda her bir algoritma ile %90 üzerinde genel doğruluk değerine ulaşılmıştır (GBM- %90.3, XGBoost-%91.1, LightGBM-%93.9, CatBoost-%93.5). Sınıflandırma çalışmasında Tarım ve Orman Bakanlığı tarafından oluşturulan tarım parselleri obje olarak kullanılmıştır. Çalışma sonucunda tarım parsel sınırları ile parsel içerisinde ekim yapılan alan ve sınırların bazı parsellerde farklılık gösterdiği, ayrıca bir tarım parseli içerisinde birden fazla farklı ürüne ait tarımsal üretim yapıldığı gözlemlenmiştir. Bu tarım parsellerinin sınıflandırma çalışmasında obje olarak kullanılması için parsel sınırlarının ekim yapılan alan sınırlarına göre düzenlenmesi/bölünmesi gerektiği sonucuna ulaşılmıştır. Tarım parsellerinin küçük ölçekli ve orta ölçekli alanlarda uygulanan yöntem ile kullanılabilir olduğu, geniş alanlarda ise alternatif bir yöntemin geliştirilmesi gerektiği sonucuna varılmıştır.
Development And Components Of Chitosan Primarily Based Microspheres Of Glibenclamide
Authors: Jha Souravh , Rai Arti , Singh Pinky , Deheriya Ritu , Saket Neetu , Patle Bharti
Published: April 2024

Microspheres is novel drug delivery system for improving therapeutic action of drug, increasing prolong action, lowering dose frequency of dosage form and to improve patient complies. Microspheres are reducing oral administration side effect such as gastric irritation in stomach. Glibenclamide microspheres were developed by ionotropic gelation method using sodium alginate and chitosan. Calcium chloride was used as a cross linking agent. Prepared microspheres were evaluated for entrapment efficiency, microsphere size, morphology, FTIR, DSC, in-vitro drug release and drug release kinetics. Prepared Glibenclamide microspheres were found discrete, free flowing and spherical. The mean particle size ranged from 349-540 µm and percentage yield ranged between 70 to 98.92%. The size of microsphere was increased by increasing concentration sodium alginate and calcium chloride while the entrapment efficiency was increased with increasing concentration of chitosan. XRD studies confirmed the crystalline nature of Glibenclamide. SEM studies showed that the microspheres are spherical and with rough surface. The in-vitro drug release study was carried out in phosphate buffer pH 7.4. Percent drug release was decreased with increase in concentration of sodium alginate and calcium chloride. Decreased drug release rate was obtained in case of F3 formulation containing sodium alginate and chitosan at 3:1 ratio and 5% calcium chloride as a cross-linking agent. The present study conclusively that Glibenclamide microsphere could be prepared successfully and formulation F3 was shows satisfactory result. The prepare Glibenclamide microspheres to maintain an effective of drug concentration in serum for long period of time and reducing gastric irritation.
3D Modelling and Simulation Based on Kinematic Analysis for Hippotherapy
Authors: Adoum Ourada Bilal , Fidan Ugur
Published: April 2024

The engineering perspective on the physiology and anatomy of living things has led to the emergence of the science of biomechanics. Developing computer technologies have made it possible to examine the behaviour of living things in more detail and to develop technologies that enable kinetic and kinematic analysis of movements to imitate real limbs. In this study, the natural gaits of horses (Walk, Canter and Trot) were analysed with image processing techniques, kinematic analyses were made and three-dimensional solid models were created. Giving movement ability to the extracted solid models was carried out with the simulation software prepared on the Matlab-SimMechanic platform. By comparing the findings obtained as a result of image processing and simulation, the success of transferring the movements to a developed system was evaluated. After mathematical equations were created in the MATLAB environment, the equations were tested on the developed system and their performance rates were determined. With the developed system, joint angles, ability to reach the correct position and movement ability were analysed and it was shown how the mathematical equations required to perform the movements could be derived. As a result, a design process model for movement analysis, simulation and control of different living groups is presented with the equations obtained by formulating the information obtained from the developed system.
History of contact and age as determinants of rubella among children in Badung District year 2012
Authors: Subrata I Ketut , Sawitri Anak Agung Sagung , Wirawan Dewa Nyoman
Published: April 2024

Rubella remains as a health concern in Bali. There have been seven times rubella outbreaks in the last two years, three of which occurred in Badung. No previous research exploring risk factors of rubella have been conducted in Bali. This case control study aimed to obtain the description of risk factors contributing to the incidence of rubella among children in Badung. Total samples were 69 cases and 138 controls. Data were collected by document analysis, interviews, observation and measurements. The instruments used are questionnaires, digital scales brand AND, multifunctional height gauge and meter. Data were analysed using univariate, bivariate and multivariate (logistic regression) methods. The majority of subjects were school-age 170 (82.1%), in a good nutrition status 193 (93.2%), non-immunised 197 (95.2%) and never had contact with the patient 118 (57%). The socioeconomic status is 172 (83.1%) above the regional minimum wage, 77 (37.2%) as private sector employees and 153 (86%) were highly educated. There were four variables found to increase risk of contracting rubella: children age OR=7.19 [95%CI: 2.12-24.36], contact history OR=45.23 [95%CI: 17.67-115.77], residential density OR=2.9 [95%CI: 1.31-6.46] and ventilation OR=3.34 [95%CI: 1.67-6.68]. In the multivariate analysis, contact history OR=44.09 [95%CI: 16.51-117.74] and age OR=16.83 [95%CI: 3.46-18.84] are two dominant factors contributing to rubella among children. Health promotion related to prevention and control, research with accurate diagnosis for control and considering rubella vaccination as a national program need to be conducted.
Factors related to parent’s participation in child dental health care in Tegallalang I Public Health Centre
Authors: Sumanti Vivin , Widarsa I Ketut Tangking , Duarsa Dyah Pradnyaparamita
Published: April 2024

The public health centre reports showed that the level of parent’s participation in children dental health care in Tegallalang I Public Health Centre was low (31.7%-35.1%). This study aims to determine the relationship between parent’s knowledge, attitudes, motivation and transportation accessibility to parent’s participation in child dental health care in Tegallalang I Public Health Centre. A cross-sectional study was conducted to 100 parents whose children were referred to undergo dental health examinations in Tegallalang I Public Health Centre using a systematic random sampling method. Data of knowledge, attitudes, motivation and transportation accessibility were collected using an interview guide, while parent’s participation was obtained from dental care registration. The data were analised by logistic regression. The results showed that level of parent’s participation in child dental health care was low (41%). Variables that were significantly associated with level of parent’s participation in child dental health care were knowledge [OR=7.35; p=0.001], motivation [OR=4.89; p=0.028] and attitudes [OR=4.19; p=0.039). Transport accessibility was not associated with parent’s participation [OR=2.35; p=0.123]. The conclusion of this study is that parent’s participation in child dental health care was influenced by parent’s knowledge about oral health, motivation and attitudes towards child dental health care. It is recommended to upscale health promotion related to dental health and the benefits of treatment in order to encourage parent’s participation in children dental health care.
Kondisi penyakit-penyakit kronik: tantangan pelayanan kesehatan abad ke-21 dan masukan untuk implementasi Jaminan Kesehatan Nasional 2014
Authors: Weta I Wayan
Published: April 2024

Pada prinsipnya melalui JKN ini kita bergotong royong dalam membiayai pelayanan kesehatan, mereka yang berisiko rendah membantu saudaranya yang berisiko tinggi. Untuk mencapai hal tersebut perlu komunikasi yang sistematis dan intensif antara pemegang kebijakan dengan masyarakat, antara organisasi PPK dengan masyarakat dan antara kelompok masyarakat itu sendiri.