bluuebunny/crossref_metadata_2025 huggingface dataset:
Simulation Experiment Design and Control Strategy Analysis in Teaching of Hydrogen-Electric Coupling System
Authors: Shi Tao , Sheng Jialin , Chen Zhiqiang , Zhou Hangyu
Published: January 2024

Hydrogen energy, as a clean and green energy medium, is characterized by large capacity, extended lifespan, convenient storage, and seamless transmission. On the one hand, in the power system, hydrogen can be prepared by the electrolysis of water using the surplus power from intermittent new energy generation, such as photovoltaic and wind power, to increase the space for new energy consumption. On the other hand, it can be used to generate electricity from the chemical reaction between hydrogen and oxygen through the fuel cell and be used as a backup power source when there is a shortage of power supply. In this paper, based on the teaching practice, the conversion mechanism and coupling relationship between various forms of energy, such as photovoltaic energy, hydrogen energy, and electric energy, were deeply analyzed. Further, a hydrogen-electricity coupling digital simulation experimental system, including photovoltaic power generation, fuel cell, and electrolysis hydrogen system, was formed. Simultaneously, considering the synergy between hydrogen production and electricity generation businesses, as well as the demand for the efficient utilization and flexible regulation of multiple energy sources, eight sets of simulation experimental scenarios were designed. A cooperative control strategy for the hydrogen-electric coupling system was proposed and validated through simulation on the MATLAB/SIMULINK-R2023a platform. This study shows that the simulation system has rich experimental scenarios and control strategies, and can comprehensively and accurately demonstrate the multi-energy complementary and cooperative control characteristics of the hydrogen-electric coupling system.
Performance Improvement of Partial Least Squares Regression Soluble Solid Content Prediction Model Based on Adjusting Distance between Light Source and Spectral Sensor according to Apple Size
Authors: Song Doo-Jin , Chun Seung-Woo , Kim Min-Jee , Park Soo-Hwan , Ahn Chi-Kook , Mo Changyeun
Published: January 2024

Apples are widely cultivated in the Republic of Korea and are preferred by consumers for their sweetness. Soluble solid content (SSC) is measured non-destructively using near-infrared (NIR) spectroscopy; however, the SSC measurement error increases with the change in apple size since the distance between the light source and the near-infrared sensor is fixed. In this study, spectral characteristics caused by the differences in apple size were investigated. An optimal SSC prediction model applying partial least squares regression (PLSR) to three measurement conditions based on apple size was developed. The three optimal measurement conditions under which the Vis/NIR spectrum is less affected by six apple size levels (Levels I–VI) were selected. The distance from the apple center to the light source and that to the sensor were 125 and 75 mm (Distance 1), 123 and 75 mm (Distance 2), and 135 and 80 mm (Distance 3). The PLSR model applying multiplicative scatter correction pretreatment under Distance 3 measurement conditions showed the best performance for Level IV-sized apples (Rpre2 = 0.91, RMSEP = 0.508 °Brix). This study shows the possibility of improving the SSC prediction performance of apples by adjusting the distance between the light source and the NIR sensor according to fruit size.
Relabeling for Indoor Localization Using Stationary Beacons in Nursing Care Facilities
Authors: Garcia Christina , Inoue Sozo
Published: January 2024

In this study, we propose an augmentation method for machine learning based on relabeling data in caregiving and nursing staff indoor localization with Bluetooth Low Energy (BLE) technology. Indoor localization is used to monitor staff-to-patient assistance in caregiving and to gain insights into workload management. However, improving accuracy is challenging when there is a limited amount of data available for training. In this paper, we propose a data augmentation method to reuse the Received Signal Strength (RSS) from different beacons by relabeling to the locations with less samples, resolving data imbalance. Standard deviation and Kullback–Leibler divergence between minority and majority classes are used to measure signal pattern to find matching beacons to relabel. By matching beacons between classes, two variations of relabeling are implemented, specifically full and partial matching. The performance is evaluated using the real-world dataset we collected for five days in a nursing care facility installed with 25 BLE beacons. A Random Forest model is utilized for location recognition, and performance is compared using the weighted F1-score to account for class imbalance. By increasing the beacon data with our proposed relabeling method for data augmentation, we achieve a higher minority class F1-score compared to augmentation with Random Sampling, Synthetic Minority Oversampling Technique (SMOTE) and Adaptive Synthetic Sampling (ADASYN). Our proposed method utilizes collected beacon data by leveraging majority class samples. Full matching demonstrated a 6 to 8% improvement from the original baseline overall weighted F1-score.
Analysis of Wheat Grain Infection by Fusarium Mycotoxin-Producing Fungi Using an Electronic Nose, GC-MS, and qPCR
Authors: Borowik Piotr , Dyshko Valentyna , Tkaczyk Miłosz , Okorski Adam , Polak-Śliwińska Magdalena , Tarakowski Rafał , Stocki Marcin , Stocka Natalia , Oszako Tomasz
Published: January 2024

Fusarium graminearum and F. culmorum are considered some of the most dangerous pathogens of plant diseases. They are also considerably dangerous to humans as they contaminate stored grain, causing a reduction in yield and deterioration in grain quality by producing mycotoxins. Detecting Fusarium fungi is possible using various diagnostic methods. In the manuscript, qPCR tests were used to determine the level of wheat grain spoilage by estimating the amount of DNA present. High-performance liquid chromatography was performed to determine the concentration of DON and ZEA mycotoxins produced by the fungi. GC-MS analysis was used to identify volatile organic components produced by two studied species of Fusarium. A custom-made, low-cost, electronic nose was used for measurements of three categories of samples, and Random Forests machine learning models were trained for classification between healthy and infected samples. A detection performance with recall in the range of 88–94%, precision in the range of 90–96%, and accuracy in the range of 85–93% was achieved for various models. Two methods of data collection during electronic nose measurements were tested and compared: sensor response to immersion in the odor and response to sensor temperature modulation. An improvement in the detection performance was achieved when the temperature modulation profile with short rectangular steps of heater voltage change was applied.
Dual-Planar Monopole Antenna-Based Remote Sensing System for Microwave Medical Applications
Authors: Zhao Minghui , Riaz Asad , Saied Imran M. , Shami Zain , Arslan Tughrul
Published: January 2024

Neurodegenerative diseases (NDs) can be life threatening and have chronic impacts on patients and society. Timely diagnosis and treatment are imperative to prevent deterioration. Conventional imaging modalities, such as Computed Tomography (CT), Magnetic Resonance Imaging (MRI), and Positron Emission Tomography (PET), are expensive and not readily accessible to patients. Microwave sensing and imaging (MSI) systems are promising tools for monitoring pathological changes, namely the lateral ventricle enlargement associated with ND, in a non-invasive and convenient way. This paper presents a dual-planar monopole antenna-based remote sensing system for ND monitoring. First, planar monopole antennas were designed using the simulation software CST Studio Suite. The antenna analysis was carried out regarding the reflection coefficient, gain, radiation pattern, time domain characterization, E-field distribution, and Specific Absorption Rate (SAR). The designed antennas were then integrated with a controlling circuit as a remote sensing system. The system was experimentally validated on brain phantoms using a vector network analyzer and a laptop. The collected reflection coefficient data were processed using a radar-based imaging algorithm to reconstruct images indicating brain abnormality in ND. The results suggest that the system could serve as a low-cost and efficient tool for long-term monitoring of ND, particularly in clinics and care home scenarios.
Assessing the Influence of Sensor-Induced Noise on Machine-Learning-Based Changeover Detection in CNC Machines
Authors: Biju Vinai George , Schmitt Anna-Maria , Engelmann Bastian
Published: January 2024

The noise in sensor data has a substantial impact on the reliability and accuracy of (ML) algorithms. A comprehensive framework is proposed to analyze the effects of diverse noise inputs in sensor data on the accuracy of ML models. Through extensive experimentation and evaluation, this research examines the resilience of a LightGBM ML model to ten different noise models, namely, Flicker, Impulse, Gaussian, Brown, Periodic, and others. A thorough analytical approach with various statistical metrics in a Monte Carlo simulation setting was followed. It was found that the Gaussian and Colored noise were detrimental when compared to Flicker and Brown, which are identified as safe noise categories. It was interesting to find a safe threshold limit of noise intensity for the case of Gaussian noise, which was missing in other noise types. This research work employed the use case of changeover detection in (CNC) manufacturing machines and the corresponding data from the publicly funded research project (OBerA).
A Cyanoalkyl Silicone GC Stationary-Phase Polymer as an Extractant for Dispersive Liquid–Liquid Microextraction
Authors: Abdelaziz Mohamed A. , Danielson Neil D.
Published: January 2024

In this work, three cyanoalkyl silicone GC stationary-phase polymers, namely OV-105, OV-225, and OV-275, were investigated as potential extractants for dispersive liquid–liquid microextraction (DLLME). The OV-225 polymer (cyanopropylmethyl-phenylmethylsilicone) exhibited the cleanest chromatographic background and was extensively studied. The proposed polymer was tested through the DLLME of four non-steroidal anti-inflammatory drugs from aqueous samples, followed by HPLC separation with UV detection at 230 nm. To achieve the maximum enrichment, the experimental conditions that influence the DLLME process were optimized using one-factor-at-a-time and design-of-experiment (DoE) approaches. The extraction variables (polymer mass, dispersive solvent volume, buffer pH, and mixing time) were screened by implementing a two-level full factorial design (FFD). Significant variables were fine-tuned using response surface methodology based on a face-centered central composite design (CCD). The optimum conditions were 10 mg of polymer (extraction medium); 50 µL of tetrahydrofuran (dispersive solvent); 100 µL of phosphate buffer pH 2.75 ([PO43−] = 100 mM); and 3 min of vortex mixing. The addition of salt had a minimal effect on the enrichment factors. In the optimum conditions, enrichment factors up to 46 were achieved using 1.5 mL samples. Calibration curves exhibited correlation coefficients > 0.999 using 4-pentylbenzoic acid as an internal standard. The limits of quantitation were 5 ng/mL for naproxen, 10 ng/mL for diflunisal, 25 ng/mL for indomethacin, and 75 ng/mL for ibuprofen. The analysis of spiked tap water samples showed adequate relative recoveries and precision. In conclusion, the proposed polymer (OV-225) is a potential greener alternative to traditional organic extractants used in DLLME.
An Evaluation and Difference Analysis of the High-Quality Development of China’s Marine Economy
Authors: Han Dongqing , Cao Zhengxu
Published: January 2024

The marine economy is a vital component of boosting the high-quality development of the Chinese economy. According to the concept of high-quality development, we construct the evaluation indicator system to measure the level of high-quality development of the marine economy by means of the combined empowerment method. We explore the coupling coordination relationship and evolution trend with the coupling coordination degree model, and finally, we analyze the regional differences using the Dagum Gini coefficient. The results show that, (1) from the perspective of time, China’s marine economic high-quality development index has been steadily improving, but there is still great potential for progress. From the perspective of spatial characteristics, the eastern marine economic circle has the best level of high-quality economic development. (2) From 2012 to 2022, the coupling coordination degree of high-quality development of the marine economy experienced five stages, from the verge of disorder to finally stepping into the good coupling coordination stage. (3) The overall difference in the marine economy is gradually narrowing. Among the three major marine economic circles, the southern marine economic circle has the largest internal discrepancy, which has become an important factor affecting the high-quality development of the marine economy. The above research results helped relevant decision-making departments to deeply understand the status quo and outstanding contradictions of the high-quality development of the marine economy in China.
The Effect of Mn Doping and Ti3+ Defects at TiO2 Surfaces in NO and SO2 Gas Capture Investigated Using Near-Ambient Pressure X-ray Photoelectron Spectroscopy
Authors: Ke Jack Chun-Ren , Thomas Andrew Guy , Peake Joseph , Sayer Robert
Published: January 2024

The removal of air pollutants is an important research topic in order to improve the environment. In addition, many common pollutants can affect human health to varying degrees. In this work, we investigate NO and SO2 conversion by reaction with a commonly used metal oxide catalyst, TiO2. Rutile TiO2(110) single crystals and industrial powder samples used in sunscreen are studied using near-ambient pressure X-ray photoelectron spectroscopy (NAP-XPS) as a main tool. This allows in situ monitoring of the gas conversion process. We find Ti3+ defects (oxygen vacancies) or Mn oxides/cations (MnO) at the TiO2 surfaces can improve the conversion of NO and SO2 to surface-bound species. MnO and Ti3+ defects at the surface of rutile TiO2(110) exhibit a synergistic effect on the conversion of NO and SO2 that is significantly improved by nearly an order of magnitude. The by-products are mainly in the form of NO3−, SO32−, and SO42−. We find the main oxidation products formed on the single crystals are subtly different from those on the industrial powder samples. For TiO2 nanopowders (undoped and Mndoped), the presence of Mn also shows improvement in toxic gas adsorption capacity. Overall, it is believed that the outcome obtained from NAP-XPS in this research provides useful insights for the future use of TiO2 in pollutant gas capture.
Design, Implementation and Comparative Analysis of Three Models for Estimation of Solar Radiation Components on a Horizontal Surface
Authors: Rougab Ilyas , Barambones Oscar , Silaa Mohammed Yousri , Cheknane Ali
Published: January 2024

Solar radiation data play a pivotal role in harnessing solar energy. Unfortunately, the availability of these data is limited due to the sparse distribution of meteorological stations worldwide. This paper introduces and simulates three models designed for estimating and predicting global solar radiation at ground level. Furthermore, it conducts an in-depth analysis and comparison of the simulation results derived from these models, utilizing measured data from selected sites in Algeria where such information is accessible. The focus of our study revolves around three empirical models: Capderou, Lacis and Hansen, and Liu and Jordan. These models utilize day number and solar factor as input parameters, along with the primary site’s geographical coordinates—longitude, latitude, and altitude. Additionally, meteorological parameters such as relative humidity, temperature, and pressure are incorporated into the models. The objective is to estimate global solar radiation for any given day throughout the year at the specified location. Upon simulation, the results highlight that the Capderou model exhibits superior accuracy in approximating solar components, demonstrating negligible deviations between real and estimated values, especially under clear-sky conditions. However, these models exhibit certain limitations in adverse weather conditions. Consequently, alternative approaches, such as fuzzy logic methods or models based on satellite imagery, become essential for accurate predictions in inclement weather scenarios.
Towards a Bidirectional Mexican Sign Language–Spanish Translation System: A Deep Learning Approach
Authors: González-Rodríguez Jaime-Rodrigo , Córdova-Esparza Diana-Margarita , Terven Juan , Romero-González Julio-Alejandro
Published: January 2024

People with hearing disabilities often face communication barriers when interacting with hearing individuals. To address this issue, this paper proposes a bidirectional Sign Language Translation System that aims to bridge the communication gap. Deep learning models such as recurrent neural networks (RNN), bidirectional RNN (BRNN), LSTM, GRU, and Transformers are compared to find the most accurate model for sign language recognition and translation. Keypoint detection using MediaPipe is employed to track and understand sign language gestures. The system features a user-friendly graphical interface with modes for translating between Mexican Sign Language (MSL) and Spanish in both directions. Users can input signs or text and obtain corresponding translations. Performance evaluation demonstrates high accuracy, with the BRNN model achieving 98.8% accuracy. The research emphasizes the importance of hand features in sign language recognition. Future developments could focus on enhancing accessibility and expanding the system to support other sign languages. This Sign Language Translation System offers a promising solution to improve communication accessibility and foster inclusivity for individuals with hearing disabilities.
Do NSm Virulence Factors in the Bunyavirales Viral Order Originate from Gn Gene Duplication?
Authors: Lefebvre Victor , Leon Foun Lin Ravy , Cole Laura , Cosset François-Loïc , Fogeron Marie-Laure , Böckmann Anja
Published: January 2024

One-third of the nine WHO shortlisted pathogens prioritized for research and development in public health emergencies belong to the Bunyavirales order. Several Bunyavirales species carry an NSm protein that acts as a virulence factor. We predicted the structures of these NSm proteins and unexpectedly found that in two families, their cytosolic domain was inferred to have a similar fold to that of the cytosolic domain of the viral envelope-forming glycoprotein N (Gncyto) encoded on the same genome fragment. We show that although the sequence identity between the NSmcyto and the Gncyto domains is low, the conservation of the two zinc finger-forming CysCysHisCys motifs explains the predicted structural conservation. Importantly, our predictions provide a first glimpse into the long-unknown structure of NSm. Also, these predictions suggest that NSm is the result of a gene duplication event in the Bunyavirales Nairoviridae and Peribunyaviridae families and that such events may be common in the recent evolutionary history of RNA viruses.
Aspect-Based Sentiment Analysis on Amazon Product Reviews
Authors: Abubakar Muhammad , Shahzad Amir , Abbasi Husna
Published: January 2024

The focus of this paper was on Amazon product reviews. The goal of this is to study is two (NLP) for evaluating Amazon product review sentiment analysis. Customers can learn about a product's quality by reading reviews. Several product review characteristics, such as quality, time of evaluation, material in terms of product lifespan and excellent client feedback from the past, will have an impact on product rankings. Manual interventions are required to analyse these reviews, which are not only time consuming but also prone to errors. As a result, automatic models and procedures are required to effectively manage product reviews. (NLP) is the most practical method for training a neural network in this era of artificial intelligence. First, the Naive Bayes classifier was used to analyse the sentiment of consumer in this study. The (SVM) has categorizeduser sentiments into binary categories. The goal of the approach is to forecast some of the most important characteristics of an amazon-based product reviews, and then analyse Customer attitudes about these aspects. The suggested model is validated using a large-scale real-world dataset gathered specifically for this purpose. The dataset is made up of thousands of manually annotated product reviews gathered from amazon. After passing the input via the network model, (TF) and (IDF) pre-processing methods were used to evaluate the feature. The outcomes precision, recall and F1 score are very promising
2-D Attention Based Convolutional Recurrent Neural Network for Speech Emotion Recognition
Authors: C Akalya Devi , D Karthika Renuka , Winy Aarshana E , Kruthikkha P C , P Ramya , S Soundarya
Published: January 2024

Recognizing speech emotions  is a formidable challenge due to the complexity of emotions. The function of Speech Emotion Recognition(SER) is significantly impacted by the effects of emotional signals retrieved from speech. The majority of emotional traits, on the other hand, are sensitive to emotionally neutral elements like the speaker, speaking manner, and gender. In this work, we postulate that computing deltas  for individual features maintain useful information which is mainly relevant to emotional traits while it minimizes the loss of emotionally irrelevant components, thus leading to fewer misclassifications. Additionally, Speech Emotion Recognition(SER) commonly experiences silent and emotionally unrelated frames. The proposed technique is quite good at picking up important feature representations for emotion relevant features. So here is a two  dimensional convolutional recurrent neural network that is attention-based to learn distinguishing characteristics and predict the emotions. The Mel-spectrogram is used for feature extraction. The suggested technique is conducted on IEMOCAP dataset and it has better performance, with 68% accuracy value.
Developed Clustering Algorithms for Engineering Applications: A Review
Authors: Zangana Hewa Majeed , Abdulazeez Adnan M
Published: January 2024

Clustering algorithms play a pivotal role in the field of engineering, offering valuable insights into complex datasets. This review paper explores the landscape of developed clustering algorithms with a focus on their applications in engineering. The introduction provides context for the significance of clustering algorithms, setting the stage for an in-depth exploration. The overview section delineates fundamental clustering concepts and elucidates the workings of these algorithms. Categorization of clustering algorithms into partitional, hierarchical, and density-based forms lay the groundwork for a comprehensive discussion. The core of the paper delves into an extensive review of clustering algorithms tailored for engineering applications. Each algorithm is scrutinized in dedicated subsections, unraveling their specific contributions, applications, and advantages. A comparative analysis assesses the performance of these algorithms, delineating their strengths and limitations. Trends and advancements in the realm of clustering algorithms for engineering applications are thoroughly examined. The review concludes with a reflection on the challenges faced by existing clustering algorithms and proposes avenues for future research. This paper aims to provide a valuable resource for researchers, engineers, and practitioners, guiding them in the selection and application of clustering algorithms for diverse engineering scenarios.
Trayectorias educativas de jóvenes madres en barrios marginalizados: el lugar de los soportes familiares e institucionales
Authors: Miranda Ana , Arancibia Milena , Scopinaro Nina
Published: January 2024

Luego de la pandemia por el COVID-19 las desigualdades parecen haberse exacerbado, por lo que el debate sobre las mismas cobra nueva relevancia. Para el caso específico de las mujeres, supuso una intensificada carga del trabajo de cuidados no remunerado que usualmente llevan adelante. En el presente artículo, se abordan las trayectorias juveniles de mujeres de sectores populares en este contexto histórico particular, analizando de manera específica sus trayectorias educativas y los soportes institucionales y familiares de los que se valen. Con ese objetivo se presentan los resultados de una investigación de corte cualitativo llevada a cabo en 2021 con jóvenes madres de entre 20 y 29 años que habitan en barrios marginalizados del Municipio de Avellaneda. Se presentan las historias de vida de las jóvenes y, sobre el final, se esbozan algunas reflexiones que permiten continuar la reflexión sobre el futuro inaugurado por la pandemia. Estructura las conclusiones la relevancia de la ampliación de sistemas públicos de cuidado que se constituyan en entornos de desarrollo para los/as niños/as al tiempo que contribuyan a recuperar autonomía, disponibilidad de tiempo y espacio para las madres jóvenes.
Intersecciones tácitas y manifiestas entre la formación de posgrado y la profesión académica: la Universidad Nacional de Mar del Plata en contexto
Authors: Aguirre Jonathan , Foutel Mariana , Porta Luis
Published: January 2024

La profesión académica y la formación de posgrado, en tanto objetos de estudios de la educación superior, se encuentran en permanente expansión temática y metodológica. En este contexto, presentamos aquí los primeros hallazgos exploratorios de una investigación que tiene como objetivo principal recuperar las vinculaciones e intersecciones explícitas y tácitas que poseen la formación de posgrado y la profesión académica universitaria a partir del uso y tratamiento de fuentes de información secundarias —datos e indicadores estadísticos universitarios— y las propias narrativas autobiográficas y profesionales de los académicos de la Universidad Nacional de Mar del Plata. El artículo que compartimos describe los vínculos que se entrelazan entre dicha formación y la profesión académica local a partir de más de doscientas encuestas realizadas a docentes e investigadores de la UNMdP y testimonios de los académicos que gestionan el nivel de posgrado en diversas unidades académicas. Los datos relevados y las variables de clasificación alcanzadas brindan una aproximación descriptiva potente de los lazos interseccionales existentes entre formación de posgrado y profesión académica que abre el horizonte a nuevos debates y posibilita, en indagaciones futuras, una mayor profundización cualitativa del objeto.
Mariana de portas e janelas
Authors: Brenner Ana Karina , Carrano Paulo Cesar Rodrigues , Medeiros Vivane Netto
Published: January 2024

O artigo descreve e interpreta o percurso biográfico de uma jovem de origem popular que sintetiza diferentes desafios existenciais e esforços de superação que articulam suportes em múltiplos espaços-tempo da vida. A jovem Mariana narra para a pesquisa que deu origem a este artigo seu percurso biográfico que busca superar a condição de subalternidade feminina diante da violência patriarcal e conquistar a mobilidade social que projetou para si e seu filho. Mariana é também muitas: estudante da Educação de Jovens e Adultos do Ensino Médio, filha, mãe adolescente, companheira e trabalhadora de muitas experiências entre a informalidade e a conquista do trabalho protegido. Os dados analisados se originam de pesquisa que combina estratégias metodológicas quantitativas e qualitativas. No âmbito qualitativo, são apresentados dispositivos imagéticos de suporte à entrevista narrativa e realização de grupo de discussão com jovens do ensino médio. A perspectiva teórico-metodológica adotada buscou colocar em diálogo a compreensão do processo de conquista da autonomia da jovem sem perder de vista o quadro sócio-histórico de onde se desdobram as experiências, estratégias de organização da vida cotidiana e projetos de futuro da personagem que elegemos para a discussão.
¿Un giro educativo en la escuela francesa? Dispositivos, experiencias y movimientos de la crítica
Authors: Barrère Anne
Published: January 2024

El artículo propone una reflexión sobre la importancia creciente del tema educativo en la enseñanza secundaria francesa, a través de varios dispositivos incorporados en los colegios. Analiza la realidad de un giro educativo a la luz de diferentes tensiones, relacionándolo con una investigación sobre un dispositivo en particular, los proyectos de Educación artística y cultural, estudiados en París y en el departamento de Seine Saint-Denis. A la luz de estos resultados, el articulo propone una renovación de la mirada crítica sobre la escuela, articulando la crítica social actual, centrada en las desigualdades escolares, con una crítica educativa centrada en el porvenir adulto en una sociedad que promueve la singularidad y la diversidad.
PENGARUH KEJELASAN SASARAN ANGGARAN DAN SISTEM INFORMASI TERHADAP AKUNTABILITAS KINERJA INSTANSI DENGAN PENGENDALIAN AKUNTANSI SEBAGAI VARIABEL MODERASI (PENELITIAN PADA BADAN PENGELOLA ASET DAN KEUANGAN DAERAH (BPKAD) PROVINSI JAWA TIMUR)
Authors: Rahmasi Jne Riske , Murni Siti Asiah
Published: January 2024

Agencies, established by the government to handle its affairs, play a crucial role in the successful execution of the mission to achieve the aspirations of the Indonesian state. The accomplishments of government agencies can be gauged through information on the performance accountability of each respective government institution. This information is essential, as it serves as the basis for governmental decision-making in improving management practices for better governance. The objective of this research is to analyze the influence of budget clarity and reporting system on the performance accountability of government agencies, with accounting control as a moderating variable. The sample for this study comprises employees working in the Finance Department (Accountancy BPKAD) or related financial fields, totaling 57 respondents, and the data were processed using SPSS. Data collection involved primary data obtained through targeted sources via questionnaire distribution. The research findings indicate that accounting control moderates the clarity of budget goals and reporting systems concerning the performance accountability of BPKAD agencies.

Keywords: Clarity Of Budget Goals, Reporting System, Agency Performance Accountability, Accounting Control
Development of Sustainable Marine Tourism Through the Pentahelix Concept in Simeulue Regency
Authors: Reiza Macella Agatha Debby , Handayani Sri Wahyu , Sudarman Sudarman
Published: January 2024

Indonesia's maritime economic potential is now starting to be managed in an innovative and good manner, so that it can become one of the targets of development and can provide optimal benefits for the state and people of Indonesia. This very supportive maritime natural condition can certainly be developed into other potentials, one of which is tourism. This potential certainly should not be missed. Simeulue Island has many beautiful tourist spots that need to be developed. However, the beautiful natural charm is not offset by optimal management. waste management is still bad, there is an assumption that development on the beach will only provide one-sided benefits and a lack of community enthusiasm for the development of beach tourism, and the problem of minimal human resources in managing marine tourism. The purpose of this study is to analyze the development of sustainable marine tourism through the Pentahelix concept in Simeulue Regency. The method used is a qualitative method using observation, interviews and literature studies. The results of the study show that there are 5 roles studied, namely the government, which is carried out by the Disparbud and Bappeda collaborating and coordinating with each other on issues related to tourism development planning which are in the process of being prepared and further sustainable development is needed. While academics play a role in efforts to study the development of tourism and community empowerment in the field of tourism. The media play a role in helping promotions to increase tourist attractiveness, social groups through tourism awareness groups that need to be optimized again and business people who provide tourism support facilities in Simeulue Regency such as lodging, culinary, entertainment and transportation
Government's Role in Managing Marine Tourism in Tanjung Bira Bulukumba Regency: Collaborative Governance Perspective
Authors: Luthfi Ahmad , Putra I Made Arie Widyasthana Wartana , Roziqin Ali , Naufal M Faqih , Hidayat Andi Rahmat , Widjaja Ynesita Annabelle
Published: January 2024

This study aims to analyze the starting conditions and collaboration between government, private and the community in managing Tanjung Bira marine tourism in Bulukumba Regency. Qualitative approaches are used with descriptive methods. Qualitative data collecting techniques were observation and interviews for primary data and documents for secondary data. In addition, triangulation process had done to reach reliable and valid data. Then, data were analyzed by cross interpreting the interview trancsripts and documents. The results showed that conditions in the government, private and the community already had the conditions to support collaboration in managing Tanjung Bira marine tourism in Bulukumba Regency. The collaboration process between the government, private and community in managing Tanjung Bira marine tourism in Bulukumba Regency has gone through all stages or the process of creating collaboration. This research implied that the absence of a continuous collaborative forum is crucial to build trust, commitment, and shared understanding between the Tanjung Bira’s stakeholders
Recognizing and Detecting the Effectiveness of Policy Implementation Waste Management in Indonesia
Authors: Artha Alfian Deby , Nurasa Heru , Candradewini Candradewini
Published: January 2024

The volume of waste generation in Indonesia is 65.8 million tons/year in 2018 and will continue to increase to around 70 million tons/year in 2022. To overcome this problem, the government has established several policy products, but the implementation of these policies has not been able to making Indonesia free from waste problems. This study aims to determine and detect the effectiveness of the implementation of waste management policies in Indonesia for the 2019-2022 and 2023-2025 periods. This study uses qualitative methods through a literature review approach with secondary data collection techniques. The results of the study show that (1) the implementation of waste management policies in Indonesia for the 2019-2022 period has not been effective because the targets and objectives of waste management have not been achieved, and the waste management system has not been optimal from the aspects of resources, institutions and law enforcement; and (2) the implementation of waste management policies in Indonesia in 2023-2025 is predicted and has the potential to not be effective. This is because the targets set in the regional government's RPJMD for the 2021-2026 period are much smaller than the targets set in the Jakstranas/Jakstrada. Recommendations that can be given so that the implementation of waste management policies can be more effective is to improve the regulatory system for waste management in Indonesia through harmonization between policies.
Analysis of amendments to government regulation no 57 concerning national education number 04 of 2022
Authors: Syahidan Ade Iman , Rahmat Pupu Saeful
Published: January 2024

Education is one of the important sectors in the development of a country. Indonesian education is faced with various challenges, both internal and external challenges. Indonesian Government Regulation (PP) Number 57 of 2021 concerning National Education being changes policy Number 4 of 2022. This changes cause uncertainty legally and administratively in formal carry out educational activities. Several important changes have been noted in PP 57 of 2021 concerning National Education period 4 of 2022. These changes include curriculum adjustments, building an assessment system, increasing the quality of the number of teachers and teaching staff and changes in education management at the school National level. With the issue arise, there is need for analyze the changes made in PP 57 of 2021 and their impact on national education system.  This research aim to investigates the impact of implementation new regulation policy Number 4 of 2022. The method used is literature study. The results show that there’s have been significant changes in PP 57 of 2021 which affect various positive aspects of national education  system. Adjusting the curriculum, improving the quality of teachers, and developing evaluations are important steps in improving the quality of education in Indonesia.
IMPROVING MATERIAL REQUIREMENTS PLANNING THROUGH WEB-BASED: A CASE STUDY THAILAND SMEs
Authors: KHUMLA Pornsiri , SARAWAN Kamthorn
Published: January 2024

In the small business industry, effective cost control is of paramount importance. A well-functioning Material Requirements Planning (MRP) process plays a vital role in enabling businesses to manage their costs efficiently. This research paper explores the improvement of MRP in the context of small businesses in Thailand through the implementation of a web-based application. The objective was to enhance the MRP process by developing an MRP system using ReactJS, NodeJS, and PostgreSQL. The system was evaluated using heuristic evaluation techniques and the results indicated a positive outcome, the mean value is 0.83. The developed web based MRP system proved beneficial for small businesses, as it effectively reduced stocking costs and facilitated efficient raw material procurement. This research provides valuable insights into the implementation of web based MRP systems, enabling small businesses to optimize inventory management and enhance operational efficiency.
Budynki szkół powszechnych zaprojektowane w okresie dwudziestolecia międzywojennego na Lubelszczyźnie przez architekta Bohdana Kelles-Krauzego
Authors: Miłkowska Ewa
Published: January 2024

Powszechny brak budynków szkół powszechnych w początkach II RP dał możliwość działania architektom tego okresu. Sztywne obwarowania ministerialne, co do układów funkcjonalno-przestrzennych budynków szkolnych, a także brak ujednoliconego prawa budowlanego na terenie odrodzonej Polski, uniemożliwiło jednak wprowadzenie oryginalnych rozwiązań dla budynków szkolnych, a także dla ich otoczenia. Powszechnie korzystano ze wzorników wydanych przez Ministerstwo Wyznań Religijnych i Oświecenia Publicznego. W Obwodzie Szkolnym Lubelskim aż dziewięć obiektów zostało zaprojektowanych przez Bohdana Kelles-Krauzego. Były to projekty autorskie, które mimo tego respektowały ogólne przepisy przeznaczone dla obiektów tego typu.
Projektowanie architektury wspierającej procesy terapii na przykładzie wybranych szpitali psychiatrycznych w Polsce i w oparciu o ocenę percepcji leczenia wśród młodzieży
Authors: Gawlak Agata , Smyl Daria
Published: January 2024

Specyfika stanu psychiatrii dziecięcej w Polsce oraz niewystarczające zabezpieczenie potrzeb społecznych w tym zakresie stało się przyczyną do podjęcia niniejszego tematu badawczego i przeprowadzenia autorskiego badania jakościowego w podejściu interdyscyplinarnym. Problem został ujęty z punktu widzenia projektowania architektonicznego przestrzeni do terapii dla młodzieży.  Celem niniejszych badań jest diagnoza percepcji leczenia psychiatrycznego wśród społeczeństwa w oparciu o przeprowadzone badanie sondażowe wśród 300 osób ankietowanych. Badanie poprzedzono studium in situ trzech losowo wybranych szpitali psychiatrycznych w Polsce, celem weryfikacji jakości przestrzeni zabudowanej stanowiącej środowisko terapii, żeby doprecyzować kontekst architektoniczny badań. Takich badań przeprowadza się nadal stosunkowo niewiele, natomiast percepcja społeczna leczenia psychiatrycznego oraz jakość przestrzeni do leczenia ma istotne znaczenie w obszarze profilaktyki, w obliczu wzrostu liczby zachorowań wśród dzieci i młodzieży, nie tylko w Polsce, ale i na świecie.
W artykule, wskazuje się na rolę jakości przestrzeni terapeutycznej w leczeniu psychiatrycznym, jako ważnym elemencie terapii, w ślad za założeniami healing environment oraz patient-centered care oraz patient-centered design, oraz co-design. Ośrodki w Polsce są rozmieszczone w sposób nieregularny, czas oczekiwania na przyjęcie do szpitala wynosi często kilka miesięcy. Natomiast specyfika leczenia psychiatrycznego nie znajduje odzwierciedlenia w programach funkcjonalnych szpitali. Brakuje przestrzeni do alternatywnych form terapii, utrzymywania aktywności przez pacjentów, w tym możliwości korzystania z pobytu na świeżym powietrzu. W badaniach wskazuje się ponadto, że jakość środowiska zbudowanego powiązana jest wprost z dostępnością terapii oraz jej percepcją społeczną.
Niniejszy temat jest niezwykle ważny w kontekście globalnego rozwoju młodych pokoleń i powinien być nieustannie rewidowany z punktu widzenia badań o charakterze interdyscyplinarnym.
Concrete around us. Building and climate change
Authors: Piróg Marek
Published: January 2024

Concrete is a valuable material that is widely used by the modern construction industry. It has many valuable advantages and unique properties, hence its widespread use, and not only for the construction of objects. The scale of its use has been the subject of many discussions with regard to the environmental impact and significant CO2 emissions that accompany its production and subsequent application. The article starts by presenting the scale of production of this material, its advantages and importance for the construction industry. This is followed by an attempt to determine how to optimize its use. Finally, the article raises issues related to the possibility of using alternative solutions to concrete structures and products based on a concrete mix, after which final conclusions are presented.
Wpływ techniki poboru próbek na wiarygodność wyników badań wilgotności metodą grawimetryczną
Authors: Kendzierawska Weronika , Trochonowicz Maciej , Chachaj Wojciech
Published: January 2024

Wilgotność należy do podstawowych cech fizycznych materiału. Badania laboratoryjne mające na celu wyznaczenie procentowej zawartości wody w materiale są stosunkowo proste i nie wymagają skomplikowanej aparatury badawczej. Problemem jest natomiast wiarygodność badań wilgotności przegród. Podczas tego typu badań istnieje konieczność pobrania próbek z obiektu i ich transportu do laboratorium. Podczas obydwu tych czynności mają miejsce straty na masie wody zawartej w próbce. Zmiany w wilgotności próbek, związane z koniecznością ich transportu, można zminimalizować poprzez stosowanie szczelnych pojemniki i obniżenie temperatury. Zagadnieniem znacznie trudniejszym do realizacji jest eliminacja strat w masie wody zawartej w próbkach podczas ich pobierania.
Instrukcje badań wilgotności metodą laboratoryjną zalecają pobieranie próbek metodami odkuwania lub też za pomocą tzw. wybijaków rurowych. Takie metody poboru mają wykluczyć straty na masie wody. W wielu przypadkach występuje konieczność pobrania próbki z dość znacznej głębokości lub też badania dotyczą obiektów o dużej wartości historycznej. Wyklucza to zalecane przez instrukcje metody poboru. Dlatego też najczęściej stosowaną metodą pobierania próbek, w obiektach istniejących jest wykonanie odwiertu i badanie pobranej zwierciny. Podczas procesu wiercenia dochodzi do przegrzewania się zwierciny i odparowywania wody. W literaturze naukowej i wszelkiego rodzaju opracowaniach technicznych dość często sugeruje się uwzględnienie tego zjawiska. Niestety brakuje informacji o wartości poprawek jakie należałoby przyjąć.
Celem opracowania jest wykazanie różnicy w wilgotnościach masowych mierzonych metodą laboratoryjną tych samych próbek przy różnych technikach poboru. Dodatkowo wyznaczone zostały wartości poprawek dla określonych przedziałów wilgotnościowych.
Neumotórax espontáneo idiopático secundario a neumotórax catamenial no asociado a endometriosis: reporte de caso
Authors: Diaz- Romero Johann , Lenis-Gonzalez Juan P. , Serna-Trejos Juan S. , Bermúdez-Moyano Stefanya G. , Bautista-Vargas Mario A.
Published: January 2024

El neumotórax espontáneo idiopático constituye una causa poco frecuente de neumotórax, si se le atribuyen causas no pulmonares como el neumotórax catamenial y/o neumotórax catamenial no asociado a endometriosis, esta condición se hace aún más rara. El abordaje terapéutico está en estrecha relación al control de las complicaciones generadas por el neumotórax. Se presenta a continuación el caso de una paciente femenina de 34 años, quien debuta con su primer episodio de neumotórax espontáneo, el cual se presume a características catameniales por la coincidencia con el ciclo menstrual de la misma.
Effect of monolithic photovoltaic-photoelectrochemical-integrated Cu(In, Ga)Se2-related co-planar device on water splitting reaction
Authors: Ueda Kana , Sugiyama Mutsumi
Published: January 2024

This study presents the fabrication of a photovoltaic-photoelectrochemical-integrated (PV-PEC) (Cu(In, Ga)Se2 (CIGS)-related co-planar device (integrated CIGS co-planar water splitting device) that resulted in an onset potential (V
onset) of over 1.23 V to achieve photoelectrochemical water splitting without external bias. Therefore, the utility of this device was indicated for unassisted water splitting reaction. Moreover, the effects of the open-circuit voltage of the CIGS solar cell part on the photocurrent density and V
onset of the fabricated water splitting device were investigated. These results suggest that the applying the reverse bias owing to V
oc of the CIGS solar cell part influences the space charge layer at the surface of the CIGS photoelectrode. This effect leads to the formation of an inversion layer, suppressing surface recombination on the CIGS photoelectrode and contributing to an increase in the photocurrent density. The results represent a preliminary step toward realizing potential applications of the CIGS PV-PEC device for the unassisted water splitting reaction.
The stochastic ferroelectric field-effect transistors-based probabilistic-bits: from device physics analysis to invertible logic applications
Authors: Luo Sheng , He Yihan , Fang Chao , Cai Baofang , Gong Xiao , Liang Gengchiau
Published: January 2024

A probabilistic-bit (p-bit) is the fundamental building block in the circuit network of probabilistic computing (PC), producing a continuous random bitstream with tunable probability. Among the various p-bit designs, the recently proposed ferroelectric FET (FeFET)-based p-bit is found to possess the advantages of both ultralow hardware cost and CMOS compatibility. In this work, we perform a comprehensive analysis of the stochasticity in ferroelectric (FE) material, revealing the mechanisms of domain dynamics and temperature on FE stochasticity. The device-to-device variations of several device/material properties are then evaluated, which affect the probabilistic-curves to different extents. Furthermore, the integer factorization is performed based on the invertible logic circuits comprising of FE p-bits to verify its functionality. The accuracy of integer factorization is found to highly depend on FE p-bits’ stochasticity, and various methods have been implemented to optimize its performance, providing unique insights for future large-scale PC applications.