bluuebunny/crossref_metadata_2025 huggingface dataset:
Perancangan Rumah Batik Banyuwangi dengan Pendekatan Placemaking oleh Konsultan Arsitektur Interior [V]Atelier
Authors: Anastasha Veronica , Susan Susan
Published: August 2024

Humans require locations that can serve as facilities and infrastructure to carry out their daily lives. Of course, this demonstrates the significance of an architect or interior designer in creating a space that meets the requirements of its users. It is determined from the completed analysis of the business environment that there is a growing demand for commercial property at the time. It might present an opportunity for [V]Atelier, a commercial interior architectural consultant, to provide a placemaking strategy for commercial spaces. The Banyuwangi Batik House design project is an implementation project in describing business innovation and value [V]Atelier is present as a commercial interior architecture consultant that offers a design approach to placemaking. To create a warm and comfortable interior,  the Banyuwangi Batik House's design will incorporate aspects of the Banyuwangi Batik culture. In its design, Rumah Batik Banyuwangi raised the concept of "batik stories" which can provide a comprehensive picture of the characteristics of Banyuwangi batik as one of Banyuwangi's proud cultures. Designing the "batik story" idea will involve applying the creative placemaking approach, which incorporates aspects of Banyuwangi batik culture and art.  Rumah Batik Banyuwangi is hoping that by putting this idea into practice, it will enable all tiers of Banyuwangi society to live fulfilling lives by instilling values in each of the attributes that Banyuwangi batik presents.
Perancangan Produk Furnitur Hemat Ruang dan Booth dengan Pendekatan Modular Desain oleh Vidi Vici Collection
Authors: Prijono Vincent Tan , Purwoko Gervasius Herry
Published: August 2024

The increasing population of Indonesian people has also increased the demand for household products, especially furniture, to meet their needs. However, the condition of a small residence makes the space appear cramped and full. VIDI VICI is an online-based furniture manufacturing company with a mass market share, which refers to providing various large-scale furniture and interior accessory needs. The company carries modular concept furniture products with a minimalist style that divides the system into smaller parts called modules, which can be modified, replaced, and created independently with other modules. The modular approach allows for flexibility and adaptability in furniture products, which can be adapted to various needs and space conditions. The design concept for this interior product is in the form of space-saving furniture or interior products such as space-saving furniture and booths. The module is designed to be compatible with other modules, using the system stack lock provides freedom in adjusting the position of the product according to needs and desires without fear of it shifting or falling. At the same time, the booth carries a minimalist style modular concept with a simple, plain, and open layout. The method used in this design has 5 stages, including observation, survey, and literature study, the initial sketch process and 3D stage, the development of the initial sketch into a design, and the design testing stage. Implementing modular designs in furniture and booth products is expected to provide added value for users, especially regarding flexibility and space efficiency.
Review Study Learning Apps in Teaching Vocabulary Using Duolingo
Authors: Asfarini Diffa , Basuki Basuki , Thien Wan Au , Masykuri Edi Sunjayanto
Published: August 2024

The objective of this research is to find out whether there is or not effectiveness Duolingo application in teaching vocabulary at tenth grade of SMA N 2 Purworejo. The design of this research was quasi experimental research which belongs to the quantitative method. The researcher determines this study as quantitative in the form of quasi experimental design that involves one only group pre-test and post-test. The population of this study was tenth grade of SMA N 2 Purworejo. By employing purposive sampling technique, the sample of this study are consist 36 students from X IPS 1. Then, the instrument in this research is consisted of forty question multiple choice for pre-test and post-test. To compare the result of pre-test and post-test used Mann-Whitney U-test in SPSS 16.0. The result shows the mean score of post-test it could be seen that the mean of the post-test score (73.40) was larger, that the mean of pre-test score (49.30). While, the Zvalue is 7.972 and the Ztable is 1.96. It means that Zvalue is higher than Ztable that is 7.972 > 1.96. So, it could be concluded that the use of Duolingo application in teaching vocabulary at tenth grade students of SMA N 2 Purworejo in the academic year 2019/2020 is effective.
Increasing Students Reading Skills Using Audio-Visual Platform with Problem-Based Learning
Authors: Yulianto Yulianto , Rokhayati Titi , Widiyono Yuli
Published: August 2024

This research aims to improve reading comprehension skills for students in eight-grade-student in Adimulyo, Indonesia. It is used YouTube video media platform and problem-based learning (PBL). Several media is used to improve students' reading skills and YouTube is the most effective for English Narrative text. The data collection method uses observation and tests. The data analysis method is descriptive for both qualitative data and quantitative data. The results showed that before treatment using YouTube video media, the average reading comprehension score of students was 62.70 (57.70%) with the medium category. In cycle 1 was increased to 70 (69.23%), and in cycle 2 students' was increased 81.54 (88.46%) with a very high category. The future expectation that YouTube videos can make a positive feedback for students‘ skills.
Types of Incorrectly-Pronounced Words by EFL Learners
Authors: Riandini Dini , Nida Faridatun
Published: August 2024

The correct pronunciation supports the understanding of speaker and listener during communication. However, the different rules of sound becomes the challenge. Indonesian learners must imitate the sound of words as standardized by the natives of English. This research is conducted to reveal the type of words which are still incorrectly pronounced. By involving the participation of students of Amikom Purwokerto University who take a Business English class, the data is collected. Observation, recording and transcription becomes a technique to document the data. Meanwhile, transcription, classification, and patternization becomes the steps of analysis. The analysis presents that the words which are still difficult to pronounce are dominantly the words with diphthong, at the begining or the end of the words. Whereas, the monopthong is also sometimes become a problem. The familiarity of words plays a consideration for students to pronounce it based on their own understanding. Hence, the findings is expected to fulfill the students needs due to the fact that time limit requires lecturer to set a compact lesson material. Understanding the result of this research can help the lecturer to emphazise the learning by the type of words which are still incorrectly-pronounced by the students.
Pragmatics Study: Commissive Speech Act Analysis in Song Lyrics “PERFECT“ by Ed Sheeran
Authors: Setyawati Vita Rahayu , Tusino Tusino , Dewi Puspa
Published: August 2024

The aim of this study is to describe the forms of commissive speech act in song lyrics “Perfect” by Ed Sheeran. The data are purposively chosen in order to answer the research question. The data of this research are the commissive speech act used in the song lyrics of “Perfect” by Ed Sheeran. This article employs the descriptive qualitative research, supported by some descriptive quantification. Thus, this article analyses the commissive speech act and its function. To explain the text clearly, a pragmatic analysis will be employed. The researcher finds the results (1) the whole data of commissive speech act in song lyrics “Perfect” by Ed Sheeran are 8 data that consist of 4 forms of commissive speech act used in song lyrics “Perfect” by Ed Sheeran namely promise, refusal, volunteer and offer. promise consists of 4 data, refusal consists of 1 data, volunteer consists of 2 data and offer consists of 1 data. The result of the study is “promise speech acts” is mostly used promise because the singer wanted to persuade her girlfriend to do something by using future predictive behaviour that the singer must believe can act in order to make the listener believe.
The Relationship of Students‘ Learning Motivation and Their Speaking Performance
Authors: Alfiana Evelyne Sari , Wijirahayu Suciana
Published: August 2024

A skill to consider when learning English is speaking. Students need confidence in their English ability and to feel capable when speaking to others their age. In this situation, it is also essential for students to acquire simple language, and give them the confidence to communicate well. This study investigated the relationship between students' learning motivation and speaking performance students‘. The students in grade 12 in a vocational high school in East Jakarta will be the participants. A questionnaire is an instrument used to measure learning motivation. This study shows how vital learning motivation is for students and how it affects their ability to speak English well. The researcher collected and analyzed data using a questionnaire. The study's findings indicate that learning motivation improves students' speaking abilities. This can also be determined by students' speaking scores, which have met the Maximum Completion Criteria (MCC). The average score of students in this speaking lesson is 7.5, and the average score of students' motivation is 3.9 out of 5. This means that students remain motivated to learn to speak. In addition, students' motivation for speaking education has increased significantly. The above explanation explains that there is a positive correlation between the motivation of students and the ability to communicate.
La Evolución de los Procesos de Gestión de Información y Documentación en la Administración de Empresas en su Relación con la Gestión Documental en el Área Administrativa del Consorcio VBV Consultores, del Cantón Machala
Authors: Guerra Rosales Azucena Yecenia , Galarza Medina Liana Johanna
Published: August 2024

La gestión documental empresarial enfrenta desafíos que impactan la eficiencia de las operaciones administrativas. Este estudio orientado al Consorcio VBV Consultores en Machala, entre 2023 y 2025, busca optimizar procesos y manejo de archivos mediante normativas técnicas. Se busca organizar y categorizar documentos lógicamente para facilitar su localización y uso, mejorando el flujo de trabajo interno y la productividad de los colaboradores. El objetivo principal es evaluar y optimizar la estructura, procesos, políticas y controles de la gestión documental para aumentar la eficiencia, seguridad y cumplimiento normativo en el manejo de documentos. Se utilizará el método cualitativo descriptivo para garantizar resultados válidos y fiables. El estudio incluirá la descripción de los procesos actuales en el Consorcio, identificando áreas de mejora a través de revisiones bibliográficas y entrevistas con funcionarias, así como observaciones en el lugar de trabajo. Posteriormente, se analizarán los datos para identificar patrones en la gestión documental. Los resultados indican que una gestión documental efectiva es importante para el éxito estratégico, decisiones eficientes y transparencia administrativa, proporcionando información veraz y oportuna. Al contrario, una gestión inadecuada puede ocasionar la pérdida de documentos, problemas de acceso, riesgos de seguridad; afectando el rendimiento y estado de ánimo de los empleados.
Evolución de la Ventilación Mecánica en la Contaminación Ambiental en su Relación con las Emisiones Contaminantes Producidas a Través del Proceso de Soldadura SMAW en el Campus Ochoa León del Instituto Superior Tecnológico Ismael Pérez Pazmiño
Authors: Coronel Farez Darwin Fabian , Toasa Reyes Pablo Vinicio
Published: August 2024

La ventilación mecánica ha sido uno de los métodos más efectivos para mitigar los efectos perjudiciales de las emisiones contaminantes en el medio ambiente y en la salud de las personas expuestas a ellas, especialmente en ambientes laborales confinados. La búsqueda constante de métodos que disminuyan estas emisiones ha resultado de la conexión entre los procesos productivos y la contaminación ambiental. Con la mejora de la tecnología, la ventilación mecánica ha demostrado ser fundamental para controlar los gases contaminantes que se liberan en varios procesos industriales. Los procesos de soldadura, que son comunes en la industria, pueden producir emisiones contaminantes significativas, en particular cuando los recubrimientos de los electrodos contienen componentes perjudiciales. Notable por sus emisiones elevadas, el proceso de soldadura por arco metálico protegido (SMAW) requiere ventilación mecánica para reducir sus efectos y salvaguardar la salud de los trabajadores, quienes suelen estar expuestos durante largas jornadas. La ventilación mecánica ha ganado relevancia en varios ambientes, como los pequeños talleres donde las emisiones no son constantes. Inicialmente se empleó en grandes fábricas de estructuras metálicas. Enfatiza este proyecto las emisiones producidas por el proceso de soldadura SMAW en el campus Ochoa León del Instituto Superior Tecnológico Ismael Pérez Pazmiño durante el periodo 2023-2025 y su impacto en la disminución de la contaminación ambiental.
Análisis Agroecológico a partir de la Comunidad de Nematodos en el Cultivo de Cacao- Theobroma Cacao L., en dos Localidades del Trópico Ecuatoriano
Authors: Vélez Urbano José Misael
Published: August 2024

El presente trabajo surge como una iniciativa de evaluación a la comunidad de nematodos como indicadores agroecológicos de dos sistemas agrícolas tropicales, en la Provincia de Santo Domingo de los Tsáchilas y en la Provincia de Los Ríos. Se muestrearon dos fincas en cada localidad con diferente manejo agronómico (agroecológico y convencional), se tomaron muestras de suelo por el método del transecto en zigzag en las que se midieron parámetros químicos del suelo y la composición de las comunidades de nematodos en cada uno de los sistemas. Se estimó la biodiversidad existente mediante indicadores ecológicos de Simpson (1-D), considerando sus tres componentes que se enfocan en la Dominancia (D), Riqueza (e^H/S) y Equidad (J), la sucesión ecológica de cada localidad fue evaluada por el índice de madurez (IM), los cálculos se los realizó en el paquete estadístico ninja. Los resultados determinaron la presencia de cinco géneros de nematodos fitoparásitos y un género depredador identificado como Mononchus sp., se encontró que la riqueza de los grupos taxonómicos y el número de especies, tiene una relación íntima con el porcentaje de materia orgánica. La elevada presencia de restos vegetales en los sistemas asociados de las dos localidades, proveen un alto contenido de materia orgánica, que genera condiciones propicias para mantener una alta diversidad y abundancia de nematodos de vida libre, obteniendo así índices de madurez superiores, demostrando una mejor calidad de suelo.
A new name for Atractides turkestanicus Tuzovskij, 2023, nec Sokolow, 1926 (Hydrachnidia: Hygrobatidae)
Authors: Schmidt Karl-Heinz
Published: August 2024

The name of the water mite species described by the late Petr Vasil'evich Tuzovskij as Atractides turkestanicus 2023 is a homonym of a name created by Ivan Ivanovich Sokolow in 1926 and requires to be replaced in order to avoid confusion, for instance if this name will be used in the context of a redescription and neotype designation of Sokolow's species. A formal replacement is proposed: Atractides tuzovskiji nomen novum pro Atractides turkestanicus Tuzovskij, 2023 [nec Atractides turkestanicus Sokolow, 1926 = Torrenticola turkestanica (Sokolow, 1926)]
Beyond Harmonization Exploring the Synergies of ACGS Implementation in Singapore, Thailand and Indonesia
Authors: Rahmawati Apriana , Faruqi Febri Yanto Alif , Prasetya Rizky
Published: August 2024

This study analyzes the ASEAN Corporate Governance Scorecard (ACGS) performance of three companies: Keppel (Singapore), Central Retail (Thailand) and Bakrie & Brothers (Indonesia). This research employs a qualitative method with a descriptive approach. The data analysis technique used is document content analysis. The data analysis procedure is carried out by collecting data sources, analyzing the collected data using the ASEAN Corporate Governance Scorecard and calculating the final score based on the predetermined weights. The results of this study indicate that Central Retail achieved the highest score among the companies, followed by Keppel and Bakrie, in the implementation of ASEAN Corporate Governance Scorecard Level 1.  This finding aligns with institutional theory, which suggests that the implementation of corporate governance (CG) practices is influenced by institutional norms and expectations, as reflected in the ASEAN Corporate Governance Scorecard.
The Effect of Auditor Experience, Client Business Understanding, and Auditor Professional Skepticism on Fraud Detection Ability
Authors: Komang Ayu Devi Ni , Luh Sari Widhiyani Ni
Published: August 2024

This study analyzes the influence of auditor experience, client business understanding, and auditor professional skepticism on fraud detection ability at Public Accounting Firms (KAP) in Bali. The theoretical frameworks applied include the Fraud Triangle Theory and Attribution Theory. The study involved 71 auditors selected through purposive sampling. Data was collected using direct distribution of questionnaires. Analysis utilized multiple linear regression with SPSS 26. Findings demonstrate that auditor experience, client business understanding, and auditor professional skepticism positively affect fraud detection ability.
The Influence of Business Ethics and Viral Marketing on Trust Consumers Through Brand Image as A Mediating Variable
Authors: Putri Amelia , Sunarya Erry , Suwiryo Darmo H.
Published: August 2024

The problem phenomenon addressed in this study is the low level of consumer trust in MS Glow skincare products compared to its competitors. This research aims to examine the influence of business ethics and viral marketing on consumer trust with brand image as a mediating variable. The research method used is quantitative with a causal descriptive approach. The population of the study consists of female students in Sukabumi who are MS Glow users, with a sampling technique of probability sampling using proportionate stratified random sampling and a sample size of 391 respondents. The data analysis technique used is Structural Equation Modeling (SEM). The results of the study indicate that business ethics does not have a significant direct effect on consumer trust but has a significant positive effect on brand image. Additionally, brand image has a significant effect on consumer trust. Viral marketing also has a significant impact on both brand image and consumer trust. Mediation results show that brand image fully mediates the relationship between business ethics and consumer trust, as well as between viral marketing and consumer trust. Therefore, brand image plays a crucial role in enhancing consumer trust in MS Glow products.
The Effect of Fintech Loans on Income Inequality in Indonesia
Authors: Saputri Dtania , Andrianus Fery
Published: August 2024

This study aims to analyze the impact of FinTech loans on income inequality in Indonesia. The data utilized comprises 34 provinces in Indonesia with quarterly frequencies from 2019 to 2022. The use of provincial-level panel data enables subgroup analysis and differentiation based on FinTech loan levels for comparison purposes. The Two Step System Generalized Method of Moments (SYS-GMM) method is employed to address research questions and test the proposed hypotheses. Estimation results reveal that FinTech loans have a positive and significant impact on income inequality in Indonesia. Subgroup province analysis also indicates similar outcomes, with a greater influence observed in provinces with higher levels of FinTech loans.
Literature Review: Policy Strategies for Natural Resource Management and Conservation
Authors: Maulana Ibrahim Afif , Sastrodiharjo Istianingsih
Published: August 2024

Research and identify the relationship between the components under study in conservation and demonstrate a significant correlation between them. In this study, a qualitative literature review methodology was used which involved a systematic process of studying, analyzing and synthesizing relevant literature. Findings from this study indicate that effective collaboration between various stakeholders, preservation of local customs, and implementation of supportive policies are critical factors in efforts to manage natural resource conservation. The research also highlights the importance of involving local communities, non-governmental organizations, government, and the private sector in conservation management. Local customs also play an important role in preserving natural resources. In addition, policies that support natural resource conservation management are needed, including regulation of resource use, habitat protection, management of conflicts between stakeholders, and integration of related policies. A limitation of this study is the subjectivity in the collection and interpretation of data in the selected literature. In addition, the study was based on an analysis of existing literature, so the results depend on the quality and quantity of literature available. Also, since this study used a literature review approach, no primary data collection was conducted. The recommendation for future research is to involve primary data and conduct field research to confirm the findings of this literature review.
The Influence of Work Compensation and Work Motivation on Employee Performance
Authors: Rohaeni Heni , Wijayanti Murti , Baeshak Tomaluweng Jamyan , Ridwan Ridwan , Wahyu Setyowati Novita
Published: August 2024

This study aims to determine how much influence work compensation and work motivation have on employee performance. The population in this study were all production. This research uses quantitative methods. Collecting data by distributing questionnaires (questionnaire) to 85 respondents, the sampling method in this study was to use a saturated sample, so the total sample was taken, namely 85 employees. The results of this study indicate that the Work compensation variable has no partial and significant effect, with the calculated t value greater than t table and the Work Motivation variable has a partial effect, with the calculated t value greater than t table. Based on the results of the simultaneous F test, the calculated F value was F table with a sig. or a significant value less than 0.05. There fore H0 is rejected or Ha is accepted, which means that simultaneously Work compensation and Work Motivation have a significant effect on Employee Performance.
Development and Characterization of a Composite Material with a Polymer Matrix Reinforced by Sawdust from Cassava and Plantain Peelings
Authors: Mbozo’o M.P. Ndibi , B. Kengne  , Tchawe M. Tchawe , Bode R.O. Sen , Nonga J.-F.R. Abia
Published: August 2024

Various processes are used to transform Cassava and Plantain into other sub-products. During these transformations, waste is produced and released into the environment. This work focuses on studying the physico-mechanical properties of a composite material incorporating Cassava and Plantain peelings in an expanded polystyrene polymer matrix. The main objective is to evaluate the impact of different proportions of polystyrene resin on the characteristics of the composite. To achieve this, we carried out a rigorous mixing and molding process, varying the proportions of resin from 10% to 40%, combined with Cassava and Plantain peelings sawdust. The resulting samples were subjected to several tests, including analyses of 3-point flexural strength, compressive strength, density and water absorption rate. We observed a marked improvement in flexural strength, from 1.03 MPa to 1.47 MPa, for 20% of the resins, and in compressive strength, from 6.13 MPa to 8.78 MPa at 30% resin content. Similarly, density measurements showed consistent variations, confirming the efficiency of the manufacturing process. Water absorption was significantly reduced, from 31.2% to 4.6%, in 2h and from 43.2 to 10.5% in 24h. In the case of samples with a higher proportion of resin, a lower water absorption was observed, highlighting the direct impact of this component on the hydrophobic properties of the composite. Similarly, the thickness swelling rate was significantly reduced, from 1.1% to 6.8%, in 2h and from 11.3 to 2.2% in 24h. These results demonstrate the performance of our composite material based on Cassava and Plantain peels, and the potential to use it like a particleboard building where lightness, robustness and ecological aspects are essential criteria.
Successful captive breeding of vultures due to the double clutching method
Authors: Petrov Rusko , Dicheva Andreana
Published: August 2024

After a massive decline, the Griffon Vulture (Gyps fulvus) population in Bulgaria has now stabilised as a result of the hard work of conservation programmes, although it is still listed as an Endangered species (EN) in the country's Red Data Book. Due to a series of unfortunate events, another species - the Cinereous Vulture (Aegypius monachus) became extinct in Bulgaria and recovered only recently due to systematic re-introduction efforts. Along with the poor living conditions, a predisposing factor for the decreasing population of the vultures is the fact they hatch only a single egg; two may be laid on exceptions. The survival rate of the young is from medium to low. In that order, a method of double clutching has been applied in the hope of preserving and retrieving both of the vultures. This article aims to introduce the double clutching method in detail, as well as to show the results of its implementation into the breeding programme of the Cinereous Vulture and the Griffon Vulture at the Wildlife Rehabilitation and Breeding Centre of Green Balkans – Stara Zagora NGO. This research studies the time period 2019-2023. The purpose of this study is to compare the results of natural copulation and hatching and those of the double clutching method. The data taken are used for studies for both the Cinereous and the Griffon Vulture’s reproduction in correlation with their feeding programme and living conditions. The results of the study will be summarised into the following text for the purposes of shedding light on the positives of the double clutching method.
Assessing the vulnerability of a sky island lizard to climate and land-use change
Authors: Mella-Romero Jorge , Maya-Miranda Sebastián , Véliz David , Simonetti Javier A.
Published: August 2024

Under climate change, species are expected to migrate along with their climate envelope. However, many species’ distribution models do not include the human footprint, thus overestimating distributional zones with high probabilities of occurrence. Species inhabiting sky islands (high-elevation landscapes that differ from landscapes in intermediate valleys) are particularly sensitive to climate and land-use change, given their limited ability to migrate. We aimed to assess the suitability of the climatic conditions for a sky island lizard under different climate scenarios and how that could affect its distribution based on (i) its climate envelope and (ii) the human footprint (croplands and buildings). Using climatic variables to develop a species distribution model and the indicator Human Footprint, we predicted the presence probabilities of Liolaemus nigroviridis Müller & Hellmich, 1932 populations under climate change scenarios (current, year 2040, and year 2080). We analyzed the relevant variables for L. nigroviridis’s climate envelope, which we projected to decrease and shift southward by 2080. The species could track its climate envelope in the Andes, but not in the Coastal mountains, given the strong human footprint. We propose assisted migration as a possible adaptive strategy, and show that conservation of sky islands species can be enhanced by integrating climatic and anthropogenic factors.
A causal interactions indicator between two time series using extreme variations in the first eigenvalue of lagged correlation matrices
Authors: Dominguez Alejandro Rodriguez , Yadav Om Hari
Published: August 2024

This paper presents a method to identify causal interactions between two time series. The largest eigenvalue follows a Tracy-Widom distribution, derived from a Coulomb gas model. This defines causal interactions as the pushing and pulling of the gas, measurable by the variability of the largest eigenvalue's explanatory power. The hypothesis that this setup applies to time series interactions was validated, with causality inferred from time lags. The standard deviation of the largest eigenvalue's explanatory power in lagged correlation matrices indicated the probability of causal interaction between time series. Contrasting with traditional methods that rely on forecasting or window-based parametric controls, this approach offers a novel definition of causality based on dynamic monitoring of tail events. Experimental validation with controlled trials and historical data shows that this method outperforms Granger's causality test in detecting structural changes in time series. Applications to stock returns and financial market data show the indicator's predictive capabilities regarding average stock return and realized volatility. Further validation with brokerage data confirms its effectiveness in inferring causal relationships in liquidity flows, highlighting its potential for market and liquidity risk management.
Nanocrystalline SEM image restoration based on fractional-order TV and nuclear norm
Authors: Zhao Ruini
Published: August 2024

To obtain high-quality nanocrystalline scanning electron microscopy (SEM) images, this paper proposed a Poisson denoising model that combined the fractional-order total variation (TV) and nuclear norm regularizers. The developed novel model integrated the superiorities of fractional-order TV and nuclear norm constraints, which contributed to significantly improving the accuracy of image restoration while preventing the staircase effect and preserving edge details. By combining the variable separation method and singular value thresholding method, an improved alternating direction method of multipliers was developed for numerical computation. Compared with some existing popular solvers, numerical experiments demonstrated the superiority of the new method in visual effects and quality evaluation.
Doubly critical problems involving Sub-Laplace operator on Carnot group
Authors: Zhu Shuhai
Published: August 2024

This paper was focused on the solvability of a class of doubly critical sub-Laplacian problems on the Carnot group $ \mathbb{G} $:

   \begin{document}$ -\Delta_{\mathbb{G}}u-\mu \frac{\psi^{2}(\xi) u }{\text{d}(\xi)^2} = \vert u\vert^{p-2}u +\psi^{\alpha}(\xi)\frac{\vert u\vert^{2^*(\alpha)-2}u}{\text{d}(\xi)^{\alpha}}, \quad u\in S^{1, 2}(\mathbb{G}). $\end{document}

Here, $ p\in (1, 2^*] $, $ \alpha\in (0, 2) $, $ \mu\in [0, \mu_{\mathbb{G}}) $, $ 2^* = \frac{2Q}{Q-2} $, and $ 2^*(\alpha) = \frac{2(Q-\alpha)}{Q-2} $. By means of variational techniques, we extended the arguments developed in [1]. In addition, we also established the existence result for the subelliptic system which involved sub-Laplacian and critical homogeneous terms.
Optimizing AGC in Implantable Devices
Authors: Selvakanmani S. , Kamal M. D. Raj , Saravanan M. , Maranan Ramya
Published: August 2024

This study introduces an advanced algorithm for optimizing automatic generation control (AGC) in implantable devices, addressing the challenges posed by the variability of renewable energy sources such as solar and wind power. The proposed approach utilizes a predictive proportional-integral-derivative (PID) controller enhanced with square root derivatives, specifically designed for power systems with high photovoltaic and wind penetration. This innovative method aims to mitigate the instability caused by the fluctuating nature of renewable energy sources. The research develops a framework that models the electricity network dynamics, incorporating high levels of solar (PV) and wind energy. The introduction of a 'Kindly Please' regulator is a novel aspect of this study, designed to augment system stability amidst increasing reliance on renewable resources. This regulator is integrated into the simulation environment, allowing for the prediction and optimization of AGC performance based on various output scenarios.
Design of Wearable Patch Antenna for ON/OFF Body Remote Health Monitoring Applications
Authors: Palanivel Rajan S. , Paranthaman M. , Neeththi Aadithiya B.
Published: August 2024

The advent of high-speed wireless networks has accelerated the demand for wearable devices and relevant technologies in recent years. The wearable antenna is used to sense, collect, and transmit data wirelessly to nearby devices. A wearable antenna is the key component to support wireless transmission in a wireless body area network (WBAN). This wireless communication includes in/on/off body communication. For continuous health monitoring systems at remote locations, the wearable antennas can be used for people of all ages. A WBAN device ensures continuous health monitoring of an elderly person or a patient without hindering his day-to-day activities. Compact antennas are part of wearable devices. The proposed wearable antenna is a microstrip patch antenna that operates at a 2.45 GHz ISM band. The compact-size antenna is designed using the CST microwave studio suite.
Enhancing Wearable Device Transmission on Reactive Power Management Using Linearized AC Models
Authors: Krishnakumari A. , Saravanan M. , Socrates S. , Maranan Ramya
Published: August 2024

This study introduces an innovative approach to enhance the transmission capabilities of wearable devices through reactive power management using linearized AC models. The research presents an estimated AC framework tailored for optimizing power scheduling in wearable devices, with a particular emphasis on integrating renewable energy sources such as solar and wind power. The complexity of the AC Transmission Expansion Planning (AC-TEP) issue is addressed by simplifying the simulation model, focusing on the interplay between circuit layout, bus voltage capabilities, and the incorporation of renewable energy sources. The operational costs, including primary energy expenditure and the management of voltage and frequency stability, are key considerations in the model. The research employs scenario analysis to address uncertainties in wind availability and power demand, utilizing thresholding techniques to minimize discrepancies.
AI for Energy Efficiency and Conservation
Authors: Goel Pawan Kumar
Published: August 2024

The growing energy demand and the need for sustainable resource utilization have led to extensive research into artificial intelligence (AI) applications for energy efficiency and conservation. AI-driven solutions offer novel approaches to tackle complex energy management challenges, enabling precise prediction, optimization, and control of energy consumption patterns. Key areas of focus include smart grid management, building automation, industrial process optimization, and transportation efficiency enhancement. Challenges such as scalability, data integration, and algorithm robustness drive the need for innovative methodologies that integrate AI into existing energy infrastructure. The proposed methodology integrates AI models with IoT devices, cloud computing platforms, and edge computing capabilities to create a holistic energy management framework. Pilot studies and simulations show significant reductions in energy consumption while maintaining operational efficiency.
Ethical Implications of Artificial Intelligence in Promoting Sustainable Clean Energy Solutions
Authors: Jain Vishal , Mitra Archan
Published: August 2024

The integration of artificial intelligence (AI) in promoting sustainable clean energy solutions holds significant potential for addressing global environmental challenges. This study explores the ethical implications of AI deployment in the clean energy sector, focusing on data privacy, algorithmic bias, accountability, transparency, and job displacement. Through a comprehensive analysis of case studies, interviews, and thematic analysis, the study reveals both the benefits and risks associated with AI in enhancing energy efficiency and sustainability. The findings underscore the necessity for robust ethical frameworks and policies to ensure responsible AI implementation. Key recommendations include developing advanced data privacy strategies, reducing algorithmic bias, improving accountability and transparency, and fostering human-AI collaboration. These measures are essential for maximizing the benefits of AI while minimizing potential risks, thereby ensuring that AI technologies contribute positively to sustainable energy solutions.
Strategic Communication for AI-Driven Sustainability Initiatives
Authors: Mishra Divya
Published: August 2024

This study explores the crucial role of strategic communication in AI-driven sustainability initiatives, emphasizing its potential for stakeholder engagement and message dissemination. It highlights how strategic communication bridges the gap between complex AI technologies and practical implementation, fostering public trust and policy support. The chapter identifies challenges such as technical complexity, data privacy, and cultural sensitivities, advocating for a comprehensive approach with stakeholder analysis, adaptive communication strategies, and continuous feedback mechanisms. The proposed communication model and implementation framework address these challenges by leveraging advanced digital tools, fostering multi-stakeholder collaboration, and ensuring transparency to achieve the SDGs. Embedding sustainability into organizational values, supported by strategic communication, is essential for fostering a global sustainability culture. These insights offer guidance for researchers, practitioners, and policymakers to enhance AI-driven sustainability initiatives.
Potential of Artificial Intelligence in the Agricultural Industry
Authors: Kaushik Tarun Kumar , Ravish  , Singh Anurag , Raghav Anjali , Singh Bhupinder
Published: August 2024

Technologies such as computer science, the Internet, massive information analytics, and blockchain technology give accurate and timely data about plants, land, climate, and insects to farmers. Digital technology will have a significant impact on the modernization and optimization of agricultural practices in rural areas of India, leading to increased income for farmers. The research investigates the potential of artificial intelligence (AI) in meeting the increasing demand for agricultural food in the future and enhancing bulk production. This chapter examines the various functions of AI in assessing nutrition and managing soil. It also examines the potential of Artificial Intelligence (AI) in meeting future demands for agricultural output by enabling large-scale production. It explores the function of AI in assessing nutrition and managing soil.
The Role of Logistics in Zero Hunger
Authors: Yıldırım Oğulcan Berk , Yıldırım Doğu Berken
Published: August 2024

For the world to achieve the goal of “Zero Hunger,” it is necessary to conduct a thorough assessment of worldwide activities. This chapter evaluates the advancements and obstacles in achieving this objective as part of the United Nations' Sustainable Development Agenda. Although progress has been accomplished, there are still ongoing challenges, such as food insecurity, which are worsened by factors like unequal distribution and environmental deterioration. The COVID-19 pandemic has highlighted weaknesses even further. Immediate action is crucial, requiring comprehensive approaches that combine policy, technology, and community involvement. It is crucial to prioritize sustainable agriculture, fair distribution, and assistance for needy communities. This chapter highlights the need for collaborative efforts in order to achieve a world free from hunger.
The Role of Logistics in Healthcare and Well-Being
Authors: Özdoğan Günay Cem , Mulgan Sarp
Published: August 2024

Logistics in health and wellbeing is crucial in managing all the materials, services, and data that make healthcare easier to deliver. This complex field needs careful management and co-ordination of the aspects such as transportation, storage, and distribution so as to improve the flow of medical goods and services within health structures. The importance of logistics in relation to healthcare can be attributed to a variety of factors such as enhancing the quality of patient care, availability of vital drugs, and overall progression of the quality of care rendered. Through sound supply chain approaches, hospitals and other healthcare centers can overcome supply chain disruptions, optimize procedural processes, and tackle logistical issues to strengthen the readiness and effectiveness of healthcare services delivery. This chapter seeks to discuss logistics in the context of the healthcare industry while focusing on the components, methods, and major significance of flexibility particularly in situations where systemic disruptions like the COVID-19 contagion occur.
Toxoplasma gondii seropositivity among uveitis patients in Sri Lanka
Authors: Iddawela Devika , Lenadora Sajanee , Vithana Sanura , Bandara Lakmalee , Herath Lasanthi
Published: August 2024

No abstract available
Epidemiology and vancomycin susceptibility pattern of methicillin resistant coagulase negative Staphylococcal (CoNS) isolates from skin swabs of the surgical patients in the National Hospital of Sri Lanka
Authors: Abeygoonawardena Harshi , De Zoysa Ishan , Amaya Radmy , Balasuriya Aindralal , Senanayke Nilanthi
Published: August 2024

Background: Coagulase-negative staphylococci (CoNS) are commonly found in human skin as normal flora but are increasingly prevalent in hospital-acquired infec-tions, often exhibiting resistance to methicillin (MRCoNS). Vancomycin is the primary treatment for MRCoNS infections. This study aimed to assess MRCoNS pre-valence in a hospital community and evaluate Vancomycin effectiveness against MRCoNS.Methods: Swabs from 102 hospitalized surgical patients were tested before the surgery for CoNS presence. Methicillin resistance was confirmed using cefoxitin discs. Vancomycin Minimum Inhibitory Concentrations (MICs) were determined via broth microdilution and E-test.Results: Among 60 CoNS-positive patients, 42% carried MRCoNS. All MRCoNS isolates exhibited MICs within a susceptible range (0.5-2 μg/ml). There was a significant prevalence of MRCoNS (42%) among hospitalized patients. Vancomycin demonstrated consistent efficacy against MRCoNS strains, with MICs well below the clinical breakpoint of 4 μg/ml in both testing methods.Conclusion: Despite the high occurrence of methicillin resistance in the studied community, Vancomycin remains a reliable treatment option, reinforcing its pivotal role in combating infections caused by MRCoNS.
Rare presentation of rickettsial infection as purpura fulminans
Authors: Emmanuel Melani Shobia , Premaratna Ranjan
Published: August 2024

Background: Purpura fulminans (PF) is a term used to describe a heterogeneous group of disorders characterized by rapidly progressive purpuric lesions that develop into extensive areas of skin necrosis and peripheral gangrene [1]. Purpura fulminans is known to be associated with many infections, such as menin-gococcal, staphylococcal, and streptococcal infections. There are very few reports of this entity with spotted fever group rickettsioses and scrub typhus in Sri Lanka.Case presentation: A 33-year-old female with intellectual disability since childhood presented with an acute febrile illness for seven days. She also had severe arthralgia, conjunctival suffusion, and a widespread “fern-leaf pattern” necrotic skin rash involving both upper limbs and lower limbs, sparing the face and trunk. She had a very high antibody titer against Rickettsia Conorii antigen, confirming the diagnosis of SFG rickettsioses, and recovered completely with anti-rickettsial therapy.Conclusion: Clinicians should consider rickettsial infection as one of the differential diagnoses in a patient presenting with acute febrile illness with patchy necrotic skin lesions which would help in early diagnosis and initiating appropriate treatment, thus preventing a deleterious outcome.
Beyond total mesorectal excision: The emerging role of minimally invasive surgery for locally advanced rectal cancer
Authors: Perini Davina , Cammelli Francesca , Scheiterle Maximilian , Martellucci Jacopo , Di Bella Annamaria , Bergamini Carlo , Prosperi Paolo , Giordano Alessio
Published: August 2024

Multivisceral resection and/or pelvic exenteration represents the only potential curative treatment for locally advanced rectal cancer (LARC); however, it poses significant technical challenges, which account for the high risk of morbidity and mortality associated with the procedure. As complete histopathologic resection is the most important determinant of patient outcomes, LARC often requires an extended resection beyond the total mesorectal excision plane to obtain clear resection margins. In an era when laparoscopic surgery and robot-assisted surgery are becoming commonplace, the optimal approach to extensive pelvic interventions remains controversial. However, acceptance of the suitability of minimally invasive surgery is slowly gaining traction. Nonetheless, there is still a lack of evidence in the literature about minimally invasive approaches in multiple and extensive surgical resections, highlighting the need for research studies to explore, validate, and develop this issue. This editorial aims to provide a critical overview of the currently available applications and challenges of minimally invasive abdominopelvic surgery for LARC. Furthermore, we discuss recent developments in the field of robotic surgery for LARC, with a specific focus on new innovations and emerging frontiers.
Clinical application value of long non-coding RNAs signatures of genomic instability in predicting prognosis of hepatocellular carcinoma
Authors: Xing Xiao-Wen , Huang Xiao , Li Wei-Peng , Wang Ming-Ke , Yang Ji-Shun
Published: August 2024

Hepatocellular carcinoma (HCC) presents challenges due to its high recurrence and metastasis rates and poor prognosis. While current clinical diagnostic and prognostic indicators exist, their accuracy remains imperfect due to their biological complexity. Therefore, there is a quest to identify improved biomarkers for HCC diagnosis and prognosis. By combining long non-coding RNA (lncRNA) expression and somatic mutations, Duan et al identified five representative lncRNAs from 88 lncRNAs related to genomic instability (GI), forming a GI-derived lncRNA signature (LncSig). This signature outperforms previously reported LncSig and TP53 mutations in predicting HCC prognosis. In this editorial, we comprehensively evaluate the clinical application value of such prognostic evaluation model based on sequencing technology in terms of cost, time, and practicability. Additionally, we provide an overview of various prognostic models for HCC, aiding in a comprehensive understanding of research progress in prognostic evaluation methods.