bluuebunny/crossref_metadata_2025 huggingface dataset:
Rancang bangun website desa lamreh sebagai media informasi
Authors:   Abulyatama, Herwanda Roji
Published: September 2024

Lamreh is a village located in Masjid Raya sub-district, Aceh Besar district, Aceh, which has various and unique tourist objects, many local or foreign tourists who want to visit Lamreh village for holidays and some who want camping or family events. However. lack of information about this village so that the village is less visited by local and foreign tourists. And the location is also far from urban banda aceh. So Lamreh village really needs a website to provide complete information. This application contains a design for a village information system including village profiles, tourist information, and information about Lamreh village. This study uses the waterfall method. The research stages include data collection, analysis, design, coding, implementation testing.
Peran Guru PJOK dalam Mengatasi Siswa Sekolah Dasar Kelas Tinggi yang Hiperaktif
Authors: Hilmiyah Khumairotuz Zuhroh  , Sunanto Sunanto  , Muhammad Thamrin Hidayat  , Afib Rulyansah
Published: September 2024

This study was conducted to analyze the role and method of PJOK teachers to overcome the hyperactive students of SD Tunas Bhakti 26 during the V grade PJOK learning. It is done in an individual, unified and comprehensive way. Data collection techniques through observation, interviews and documentation. Studies have shown that hyperactive students tend to lose focus and remain silent for long periods of time. Teachers need a special approach to keep them interested in learning activities. During the learning activity, there were obstacles in the research process. That is, (1) the students got bored easily and found it difficult to sit quietly on their respective benches. (2) Hyperactive students easily ignore teacher warnings. (3) The hyperactive student has difficulty working in groups, such as when discussing with classmates. Based on the results of existing research, it can be concluded that hyperactive students tend to be unable to focus and remain silent for a long time. Teachers need a special approach to interest them in learning activities.
Pengukuran Tingkat Produktivitas Menggunakan Marvin E Mundell Pada Perusahaan Manufaktur Bidang Konstruksi
Authors: Ramadhani Gui Rendra Farkhan , Yuliawati Evi
Published: September 2024

Opertion companies had several element that containt of raw material, labor, machine, maintenance and energy used in operating process. It was vital for company because can be effected to prduction process during company operation therefore productivity measurement is a must. Productivity is relation that happened between output in the form of production cost and input like production result. Things that usually happened to the company is sum of input was not balance with sum of output thus making inefficiency and ineffictiveness on the occupation. So the production process and company operations will not run optimally. This research aims to knowing productivity level of company in every element owned. Productivity level can be measured with Marvin E Mundell as a tools based on cost. The calculation result of the first two element (raw material and enersy) were fluctuating tends to increase whereas the other two (labor and maintenance) was fluctuating tends to decrease. Overall as productivity total measurement was fluctuating tends to stable.
Proses Endforming dan Bending Fuel Tube pada PT. XYZ
Authors: Gymnastiar Dimas Faatihah , Yuliana Suryani Intan , Okta Prianzo Ivan , Putri Nabila Zahwa
Published: September 2024

This research analyzes the endforming and bending process of fuel tubes at PT XYZ, an automotive component manufacturing company. The main objective of this study was to provide a comprehensive overview of the key stages in the manufacturing process, the efficiency of machine utilization, and the quality control system implemented. Data was collected through direct observation, interviews with production staff, and analysis of company documents. The results show that PT XYZ has successfully implemented advanced technology and a strict quality control system to improve efficiency and product quality. The efficient and well-controlled manufacturing process has helped the company in maintaining its position as a market leader in the automotive industry. Recommendations include the development of new technologies, continuous training for staff, evaluation of the quality control system, and increased collaboration with raw material suppliers. Hopefully, the findings of this study can serve as a reference for other companies in the automotive industry to optimize their manufacturing processes.
Pembayaran Retensi sebagai Jaminan Pemeliharaan Proyek
Authors: Simon Gusman
Published: September 2024

Retention is part of the cash inflow payment component for the project. Its role is to ensure the execution of work following the agreement. Retention has the effect of reducing cash inflows during construction and delaying it until the retention release schedule. This study aims to describe and evaluate the effect of retention on cash inflows. Primary data collection is in the form of project internal documents from construction service providers. The construction period lasts 14 months, the maintenance period lasts 1 year and the incoming cash from releasing retention money takes place in the 27th month. From the analysis and discussion of the data, it was found that the construction implementation was going well where there were no delays in the maintenance period and delays in the retention release schedule. From the results of the study, it is recommended that construction service providers maximize the invoice collection period to increase project cash inflows.
Penerapan Metode Quality Control Circle dalam Pengendalian Kualitas Pada Proses Pengelasan Seat Frame Front Chusion Di PT. TBA
Authors: Suhendra Suhendra , Budiansyah Muhammad Rizki , Daissurur Muhamad Linsyi , Irawan Wakhit , Astamanggala Fauzar
Published: September 2024

PT TBA is one of the companies that produces Seat and interior components used in various well-known car brands in Indonesia. The purpose of this research is to control the quality, especially on the problem of many welding defects in the production process of Seat Frame Front Chusion. We conducted this research by using the Quality Control Circle method. By using the QCC method, we can more easily identify, analyze, and solve a problem that occurs in the production process. The results of this study show the lack of quality in the welding process results caused by several factors, namely machine factors, method factors, and man factors themselves. Of the three factors, the machine factor is the most dominant seen from the high cycle time in each process. this makes it easier for researchers to make this factor a priority to overcome. In NG, it occurs because there are no exact parameters related to amperage and also the distance of the nozzles used by the operator is too close, for this problem, the repair process can be carried out, but if the problem occurs repeatedly and is many of them, it will increase the production time longer to carry out the repair process. So the way to overcome this problem is to make the right amperage parameters according to the character of the material itself and provide further training to operators to be more careful and careful at work.
Smart Alarming System Using Embedded Controller, Zigbee Communication and Global System of Mobile (GSM)
Authors: Al-Edwan Ibrahim , Al-Mofleh Anwar , Badran Omar , Awad Ahmad , Alqadi Mohamad , Alkawaldeh Naim
Published: September 2024

This paper presents a smart alarming system applying embedded controllers, ZigBee communication, and GSM knowledge. The method allows users to wirelessly monitor their properties, such as companies and houses, through Short Service Message (SMS) alerts. The primary unit and its subunits are the two basic parts of the system. As the primary hub, the main unit is equipped with two microcontrollers, a motion sensor, a ZigBee module, and a GSM interface. For monitoring, sub-units covering a motion sensor, ZigBee module, and microcontroller can be placed in different locations. These sub-units use a Point-to-Multipoint system (PTMS) to wirelessly connect with the main unit. When a motion sensor in a monitored area detects movement, it sends an alarm and wirelessly communicates the address of the relevant room to the main unit. The user receives an SMS alert with the room's address as soon as the main unit, which is connected to GSM, goes off Additionally, one of the sub-units can be linked to a laptop within the same building, facilitating comprehensive room monitoring. This system offers users a flexible and efficient solution for remote premises monitoring.
Design of a Dual Band 2.45 GHz and 5.2 GHz Microstrip MIMO Antenna with T-Geometry based on AMC Reflector
Authors: Evran Serap Kilinc , Coskun Ozlem
Published: September 2024

Multiple input-multiple output (MIMO) is one of the important applications of WLAN wireless communication technology. In wireless communication systems, especially with the developing services, an increase in data speed and access quality is required in indoor WLAN systems for multi-media data transmission. In new-generation wireless communication systems, high transmission performance and high data rates can be achieved with MIMO systems that use multiple antennas in the sender and receiver. In the MIMO system, parallel data transmission can be made over multiple antennas at the same time and frequency by using the spatial domain. In this study, a MIMO dual-band microstrip antenna with artificial magnetic conductive surface T geometry operating at 2.45 GHz and 5.2 GHz was designed. CST simulation program was used in the designs. To increase the efficiency of antenna parameters; an artificial magnetic conductor design (AMC) was made and used as a reflector for the antenna. The designed dual-band MIMO microstrip antennas; parameters such as reflection coefficient, radiation diagrams, and gain were examined.
Synthesis and reactivity of the di(9-anthryl)methyl radical
Authors: Nishiuchi Tomohiko , Takahashi Kazuma , Makihara Yuta , Kubo Takashi
Published: September 2024

The di(9-anthryl)methyl (DAntM) radical was synthesized and investigated to elucidate its optical, electrical properties, and reactivity. The generation of the DAntM radical was confirmed by its ESR spectrum, which showed two broad signals. The unpaired electron is primarily localized on the central sp2 carbon and slightly delocalized over the two anthryl moieties. Although the DAntM radical undergoes dimerization in solution, the radical still remains even at 190 K due to the bulky nature of the two anthryl groups. Interestingly, upon exposure to air, the purple color of the radical solution quickly fades to orange, resulting in decomposition to give 9-anthryl aldehyde and anthroxyl radical derivatives.
Construyendo Puentes de Diálogo: El Rol de las Universidades para Mitigar la Polarización Social
Authors: Juárez Hernández María Luisa , Meneses Gazca Mónica , González Pérez Manuel
Published: September 2024

La polarización social emerge como una tendencia dominante en la comunicación de los líderes populistas. Esta tendencia se caracteriza por el uso constante de términos como "ellos y nosotros" y expresiones de emociones políticas como la justicia, la alegría o la ira. Esta investigación tuvo como objetivo estudiar la propuesta de construir puentes de diálogo como papel de la universidad en la mitigación de la polarización social. Se aplicó un cuestionario a 1068 estudiantes de la Universidad Tecnológica de Tecamachalco, Puebla. El cuestionario contaba con ocho preguntas: dos preguntas principales, una sobre género y otra sobre clasificación por la especialidad que cursan. Para la ubicación estadística, se utilizaron seis preguntas para investigar los datos de esta investigación. Como resultado de las 36 hipótesis bivariadas, seis no aplicaron por tener la misma variable dos veces (repetida). Se validaron cuatro hipótesis lineales con el coeficiente de correlación de Pearson superior a 0,6. Se validaron veintiséis hipótesis no lineales con contraste de hipótesis de Chi-cuadrado. En conclusión, los estudiantes, aunque tienen poca experiencia en estos conceptos, confían en que si su universidad tiende puentes de diálogo, solucionarán los problemas de polarización social.
La Inteligencia Artificial y su Impacto en la Docencia Ecuatoriana
Authors: Quinde Rosales Victor Xavier , Rosales Ramos Juan Antonio , Ramírez Flores Andrés Arturo , Chevez Villanueva María Sol , Márquez Ortega Michael Steeven
Published: September 2024

La Inteligencia Artificial (IA) en los últimos años se ha convertido en una herramienta fundamental para diversas áreas, incluyendo la educación, donde se ha brindado la oportunidad de mejorar la enseñanza, optimizar los procesos administrativos y personalizar el aprendizaje. El presente estudio examina el impacto de la Inteligencia Artificial en los docentes de la Universidad Agraria del Ecuador (UAE), a través de un enfoque grupal (focus group), examinando sus percepciones, experiencias y expectativas. La metodología cualitativa se enfocó en la socialización de temas tales como la experiencia con la Inteligencia Artificial, el impacto en la docencia y las preocupaciones éticas. Los resultados evidencian que ChatGPT es altamente valorado por su capacidad de estructurar ideas, sintetizar información y minimizar la dependencia de los estudiantes aunque haya errores en sus respuestas y necesiten de un análisis previo. Los desafíos se enfocaron en las preocupaciones éticas fundamentadas en la originalidad de los resultados y la prevención del plagio. A pesar de que la inteligencia artificial ofrece numerosas ventajas en la docencia, es esencial adoptar medidas para su uso responsable y ético, asegurando así que esta herramienta complemente y no reemplace el trabajo del docente.
Hechizos, Rezos y Maleficios. La Función Social del Mezcal en la Vida Rural de la Tierra Caliente de México
Authors: Sánchez Jiménez Eduardo
Published: September 2024

La medicina tradicional es un conjunto de prácticas y conocimientos ancestrales que se han transmitido de generación en generación en diversas culturas originarias y campesinas de todo el mundo. En estas prácticas se utilizan principalmente plantas medicinales y otras sustancias naturales para tratar enfermedades y dolencias del cuerpo y el espíritu, principalmente las bebidas y brebajes con alto contenido alcohólico como lo es el mezcal. Esta bebida destilada del agave spp., tiene un papel importante en el tratamiento de enfermedades en el imaginario colectivo desde tiempos inmemorables. El mezcal también ha sido utilizado como medicina tradicional para tratar una variedad de dolencias, desde problemas estomacales hasta resfriados y enfermedades respiratorias. Además, el mezcal también se utiliza en ceremonias y rituales para tratar enfermedades del espíritu mediante prácticas, acompañado de rezos y prácticas ceremoniales. Es importante destacar que el uso de estas bebidas en la medicina tradicional siempre se realiza bajo la supervisión y orientación de un experto en la materia, como lo son las sanadoras y curanderas. El mezcal tiene una función social y va más allá de una bebida alcohólica de moda, vista como medicina tradicional en México, además, es un ejemplo de cómo las plantas y otras sustancias naturales pueden tener múltiples usos y significados en diferentes culturas.
Coordinated Control of PSS with Type-2 Fuzzy Lead Lag SSSC Damping Controller Design Using Modified Local Signal
Authors: Patra Asit Kumar , Keshori Mohapatra Sangram
Published: September 2024

The Sine Cosine adapted improved WOA(SCiWOA) based design coordinated control of Type-2 fuzzy logic control (T2FLC) power system stabilizer (PSS) with modified local signal (MLS) input to Type-2 FLC lead-lag-based Static synchronous Series Compensator (SSSC) controller considered for transient stability improvement. Initially, the SCiWOA optimized coordinated control of MLS input to a lead lag-based SSSC controller with PSS was compared with the Whale Optimization Algorithm (WOA) and particle swarm optimization (PSO) based coordinated control of the same controller with the structure of the SMIB power system. It is seen from the demonstration that improvements in the ITAE error with the proposed SCiWOA tuned compared to WOA and PSO are 29.83% and 33.91%, respectively. The different input signals to PSS and SSSC coordinated control were verified to check the effectiveness and robustness of the analysis of the transient stability of the power system. The next part of the analysis attempted to coordinate the control of T2FLC based PSS with a T2 FLC controller with a remote input signal (Δ𝜔) based PSS with a lead-lag SSSC damping controller under different loading and fault conditions of the SMIB power system. Lastly, the effectiveness of the proposed coordinated controller demonstrated in three machine power systems shows that the proposed T2FLC based PSS with MLS input-based T2FLC in the SSSC damping controller has superior transient performance as compared with PSS with MLS input to the SSSC controller and PSS with MLS input to the SSSC controller under three different contingencies of the power system.
Selection of Lightweight CNN Models with Limited Computing Resources for Drone Collision Prediction
Authors: Zufar Rifqi Nabila , Banjerdpongchai David
Published: September 2024

The Collision Avoidance System (CAS) is a safety system created to identify and prevent collisions, primarily on drones. The CAS comprises three processes: detection, prediction, and action. The predictive process is crucial as it determines whether a collision will occur, making it the core component of the system. Most drones are equipped with cameras. A visual-based prediction involves the use of a convolutional neural network (CNN). The CNN operates by autonomously learning and extracting hierarchical characteristics from input data through convolution, pooling, and fully connected layers. Currently, there are CNN models called pretrained models that are ready to use. However, not all pretrained models are suitable for compatibility with drones as they possess computational constraints. Our objective is to establish a suitable model selection from a variety of pre-trained CNN models with lightweight architectures. The transfer learning technique is applied to customize these models with the ColANet dataset. Subsequently, we evaluate these models regarding their accuracy, model size, inference time, and power consumption. Finally, the selected model is deployed in real time on a Raspberry Pi 3B+ with data input from a DJI Tello drone camera, and the prediction performance is evaluated.
Comprehensive Survey on Fault Detection and Classification in Three-Phase Induction Motors
Authors: Sonje Deepak , Munje Ravindra
Published: September 2024

Electric motors have revolutionized the way of human living and resulted in the modern lifestyle. These motors often operate in corrosive and dusty places and are exposed to a variety of undesirable conditions and situations that result in the failure of the motor. The faults occurring in Induction Motors (IM) need to be detected at a proper time for avoiding losses and further consequences. A well-designed fault detection scheme not only reduces motor failure but also increases productivity and even sometimes avoids accidents. This paper presents a review of fault detection and classification techniques in three-phase induction motors (TPIM). The main theme of this paper is to revisit the conventional methods for fault detection in TPIM and compare them with recently published methods based on parameters to be sensed, and the type of fault that can be detected, with their advantages and drawbacks. Around a hundred papers are critically reviewed and studied from old and new regimes. Attention is also given to fault detection methods based on artificial intelligence (AI) and machine learning (ML). This paper concludes with brief remarks which will be very useful for new researchers who are willing to research in the domain of fault detection and classification.
Radio Tomography Imaging using Adjacent Criterion Method to determine the Localization Error
Authors: ABDULLAH MOHAMMED , Fazalul Rahiman Mohd Hafiz , Binti Khalid Nurul Syahirah , Abdul Nasir Aimi Salihah
Published: September 2024

Observed that most setups have limitations in the number of RF nodes due to a limited number of measurements. However, it is well known that the main difficulty in radio tomographic imaging attributes to the uncertainties in the receive signal strength (RSS) measurements of transceivers due to multipath effects, especially, when the environment of interest is much cluttered, and requirements on the larger number of nodes for the performance improvements. However, no study has been conducted to solve the inverse problem and improve the quality of the reconstructed image using a reduced sensor model for Radio tomography system localization. This work focuses on the design and development of a Radio tomography system for human localization that will employ a transceiver sensor arrangement to increase the number of measurements, without making any changes to the hardware design as well as the number of pixels in the sensing domain. An image reconstruction technique namely, Adjacent Criterion Method (ACM) was proposed to enhance the image spatial resolution. A number of experiments were used to evaluate the performance of the system. The results showed that the proposed technique improves the spatial resolution and exhibits more accurate tomograms
Technical Indices Evaluation of Radial Distribution Network with Optimally Allocated DGs and Capacitors
Authors: Manjhi Rampreet , Lal Deepak Kumar , Biswal Sandeep , Abdelaziz Almoataz Y.
Published: September 2024

Electric power distribution system planning is a key area of concentration for developing more efficient, trustworthy, and environmentally friendly energy sources in the future. While distributed generations (DGs) are excellent at reducing system actual power losses, shunt capacitors can supplement their effectiveness when utilized in tandem. It is feasible to achieve even higher reductions in power losses and enhanced system efficiency by combining DGs with shunt capacitors. The Loss Sensitivity Factor (LSF) measures how sensitive real power loss in a network is to changes in power injection (active or reactive power) at a single bus. The methodology analyses LSFs to assess the ideal sites for placing DGs and capacitors in radial distribution networks (RDNs). The Golden Jackal Optimization (GJO) strategy is adopted to discover the ideal sizing and allocation of DGs and capacitors. The strategy is tested using two RDNs, one with 33 buses and the other with 69 buses. In addition, five major technical indices are explored and examined, used as an evaluation criterion to distinguish between the optimal and baseline performances. These are the voltage deviation index (VDI), power loss index (PLI), fast voltage stability index (FVSI), line stability factor (LQP), and novel line stability index (NLSI). Voltage deviation, power loss, and voltage stability analysis-related indices are among the technical characteristics addressed.
Whale Optimization Algorithm Based Closed-Loop Control Z-source inverter for Wind Energy Application
Authors: Kumari Sweta , Kumar Mandal Rajib
Published: September 2024

In this paper, an enhanced 0.5 kW Z-source inverter (ZSI) model is used in the design of a wind energy generating system (WEGS) that uses a 1.2 kW wind turbine to overcome the operating restrictions of the traditional ZSI model.  To achieve a constant line-to-line voltage with varying loads at the output side of the WEGS, a closed-loop control technique is applied at the load side. A proportional-integral (PI) controller is utilised with the ZSI for closed-loop control since it is the least complicated in terms of tuning and operation. Also, ZSI systems have nonlinear behaviour, which precludes direct application of the PI controller technique to them. As a result, the novelty of this article is the optimisation of stabilised PI coefficients (Kp, Ki) with a modified ZSI model. Particle swarm optimisation (PSO), sine-cosine algorithm (SCA), and whale optimisation algorithm (WOA)-based optimisation techniques are used to handle PI tuning for closed-loop modified ZSI. In terms of the stability of the closed-loop modified ZSI with WEGS, the WOA performs better. The outcomes show that the suggested controller can control the variation in AC output voltage of ZSI with variable load exactly.
Classification of Vibration in Coal Mining Industry via Deep Neural Network
Authors: Thothong Jirasak , Charoenchaiprakit Kanok , Piyarat Wekin , Woradit Kampol
Published: September 2024

Recently, the electricity from coal mining industry is still necessary because it serves as a primary electrical source in many areas in response to high demand in power. However, coal mining can harm the miners, environment, and villages near mining site due to ground vibration from blasts during the operation. Hence, every coal mine industry is required to report the ground vibration for safety purposes. Mostly, the ground vibration data comes from the vibration sensors deployed around the mining site, and the vibration data will be sent to the control room. Due to tons of the vibration data, operators have difficulty in classifying the blast vibrations from the records which causes time-consuming and possible human errors during process. To solve these problems, this article proposes the Deep Neural Network (DNN) model for a blast vibration classification with 3 hidden layers. the ground vibration data used in training and validating the DNN are collected by the Mae Moh mine site in Thailand. As the result, the designed DNN meets the standard with the accuracy of 100%.
Online Learning Experiences During COVID-19 Pandemic: Preservice Teachers’ Perception of Quality, Coping Mechanisms and Learning Satisfaction
Authors: Jonathan P. Leal,
Published: September 2024

Online learning has played a crucial role during this pandemic. While adapting to the new changes, teachers and students need to be gauged and supported. The learners with a fixed mindset find it difficult to adapt, whereas those with a growth mindset quickly adjust to a new learning environment. This survey-correlational research study sought to determine the preservice teachers’ learning experiences, perception of quality, coping mechanisms, and learning satisfaction in online learning during the COVID-19 Pandemic. The participants were the two hundred thirty-three (233) preservice teachers. Data were collected using the standardized coping mechanism questionnaire adopted from Carver, et al. (1989) and researcher-made learning experiences questionnaire, perceived quality questionnaire, and learning satisfaction questionnaire. The findings showed that the learning experiences in online learning were good. The perceived quality of online learning was high. The coping mechanism in online learning was high. The learning satisfaction in online learning was high. There were significant differences in the online learning experiences based on the perceived quality, coping mechanism, and learning satisfaction. There were significant relationships among online learning experiences, perceived quality, coping mechanisms, and learning satisfaction in online learning
The beginnings of cartapesta and papier mâché: material choices, recipes and makers in Italy and Germany
Authors: Marchand Eckart
Published: September 2024

The topic of Italian Renaissance cartapesta has gained increasing attention in art history during the last two decades. Most research so far has been focused on the use of the material in established categories of Italian Renaissance fine art traditions. Taking its lead from a small number of articles that offer a wider outlook, the present article also considers the phenomenon of paper-made three-dimensional ex voti as well as devotional works from north of the Alps, leading up to the sixteenth century. In addition to the well-known recipe for cartapesta in Filippo Baldinucci’s Vocabulario toscano dell’ arte del disegno of 1681, two earlier examples are cited. One of these appeared in Don Alessio Piemontese’s Secreti nuovi, the other in the Nuremberg Art Book, a fifteenth-century manuscript from that city’s female convent of St Katharina, which belonged to the reformed branch of the Dominican order. Tracing and analysing the origins of these texts points towards close connections to the nascent paper industry and the making of images for religious devotion in religious reform orders in Lucca and Nuremberg respectively. Source texts related to the affordability and reception of papier mâché are rare. However, following the example of Maria Alessandra Chessa, the article proposes possible connotations of the material, depending on its historical contexts. The discussion ends with a consideration of the extensive use of papier mâché by the Lüneburg artist Albert von Soest in the context of the Lutheran Reformation.
Sculptural friends and relations and their marble surfaces: Roubiliac’s busts of Henry, 9th Earl of Pembroke, and his other busts at Wilton House
Authors: Baker Malcolm
Published: September 2024

This article explores the ambiguous relationship between various busts by Louis François Roubiliac commissioned by Henry, 9th Earl of Pembroke and his family, including six versions of the 9th Earl himself. The majority of these busts are now at Wilton House and have usually been understood to form a group to be displayed together. However, close examination of the documentary evidence, including successive editions of the Wilton guidebook, reveals that only two were shown together, and that no bust of the 9th Earl was in the house in the eighteenth century, although one marble version was at the family’s London house and another formed part of his monument in the church at Wilton. Yet while not created as a group to be seen together, these busts share one significant feature – their highly polished finish. It is argued here that this was a distinctive aspect of Roubiliac’s sculptural practice and that these busts together constitute an exceptional case that allows us to discern what a surviving original surface might look like, something that has been until now difficult to identify. At the same time, the article addresses the methodological question of what evidence can be assembled in extended entries for individual objects in a catalogue raisonné, and how interconnections between individual works lie outside such entries and need to be explored in other ways.
University-industry cooperation: a case study of student innovation projects in Latvia
Authors: Steinbergs Kaspars , Cane Renate
Published: September 2024

The purpose of this study is to identify the most common forms of university-industry cooperation in Latvia, as well as to evaluate the motivating, facilitating, and barrier-creating factors of such cooperation. A case study approach was used to conduct the research, analyzing three projects of the ERDF program “Innovation Grants for Students”, analyzing their documentation, and conducting interviews with the companies involved in the projects as well as project management representatives. The study showed that university-industry cooperation in Latvia is at a stage of development where it is essential to build mutual trust and communication between universities and business.
The impact of incentives and iot integration on young consumers’ adoption of pay-per-wash services: a behavioral analysis
Authors: Nikolaev Dmitrii , Serebriannikov Mikhail , Aduku Stephanie , Perez Luis Antonio Angeles , Ar Emre , Sekyere Baako Seth-Junior , Lachner Norman , Pfeiffer Jana Elisabeth Marie
Published: September 2024

This study explores pay-per-wash (PPW) services, focusing on young consumers drawing from a dataset of 457 responses collected from Germany and the Czech Republic. Utilizing gender and living conditions as segmentation criteria, the research uncovers both shared and distinct preferences among this demographic. Key findings highlight a universal appeal for Internet of Things (IoT)-enabled features, as well as the significance of both monetary and nonmonetary incentives in driving PPW service adoption. Notably, females demontrate a stronger preference for timely operations, complimentary detergents, and eco-friendly solutions. However, while providing valuable insights, the research acknowledges limitations, such as potential segmentation oversights and an exclusive focus on a specific age bracket. Moreover, the study validates three hypotheses regarding the positive impact of IoT features, optimized washing settings, and sustainable behavior on young consumers’ inclination toward the PPW model. By offering a roadmap for PPW services, the research emphasizes the importance of adopting a balanced marketing approach that considers both universal and gender-specific preferences.
κ Andromedae b Is a Fast Rotator from KPIC High-resolution Spectroscopy
Authors: Morris Evan C. , Wang 王 Jason J. 劲飞 , Hsu Chih-Chun , Ruffio Jean-Baptiste , Xuan Jerry W. , Delorme Jacques-Robert , Hood Callie , Bryan Marta L. , Martin Emily C. , Pezzato Jacklyn , Mawet Dimitri , Skemer Andrew , Baker Ashley , Bartos Randall , Calvin Benjamin , Cetre Sylvain , Doppmann Greg , Echeverri Daniel , Finnerty Luke , Fitzgerald Michael P. , Jovanovic Nemanja , Liberman Joshua , Lopez Ronald , Sappey Ben , Schofield Tobias , Wallace J. Kent , Wang 王 Ji 吉
Published: September 2024

We used the Keck Planet Imager and Characterizer to obtain high-resolution (R ∼ 35,000) K-band spectra of κ Andromedae b, a planetary-mass companion orbiting the B9V star, κ Andromedae A. We characterized its spin, radial velocity, and bulk atmospheric parameters through use of a forward-modeling framework to jointly fit planetary spectra and residual starlight speckles, obtaining likelihood-based posterior probabilities. We also detected H2O and CO in its atmosphere via cross correlation. We measured a

v
sin
(
i
)

value for κ Andromedae b of 38.42 ± 0.05 km s−1, allowing us to extend our understanding of the population of close-in bound companions at higher rotation rates. This rotation rate is one of the highest spins relative to breakup velocity measured to date, at close to 50% of breakup velocity. We identify a radial velocity

−

17.35

−
0.09

+
0.05

km s−1, which we use with existing astrometry and radial velocity measurements to update the orbital fit. We also measure an effective temperature of 1700 ± 100 K and a

log
(
g
)

of 4.7 ± 0.5 cgs dex.
SOLES XII. The Aligned Orbit of TOI-2533 b, a Transiting Brown Dwarf Orbiting an F8-type Star
Authors: dos Santos Thiago Ferreira , Rice Malena , Wang Xian-Yu , Wang Songhu
Published: September 2024

Brown dwarfs occupy a middle ground in mass space between gaseous giant planets and ultracool dwarf stars, and the characterisation of their orbital orientations may shed light on how these neighbouring objects form. We present an analysis of the Rossiter–McLaughlin effect across the transit of TOI-2533 b, a brown dwarf on a moderately eccentric (e

b
= 0.2476 ± 0.0090) and wide-separation (a

b
/R
⋆ = 13.34 ± 0.30) orbit around an F8-type star, using data from the NEID/WIYN spectrograph in combination with archival photometry and radial velocity observations. Spin-orbit analyses of brown dwarfs are relatively rare, and TOI-2533 stands out as the fifth brown dwarf system with a measured spin–orbit constraint. We derive a sky-projected stellar obliquity of λ = −7° ± 14° for TOI-2533 b, finding that the brown dwarf is consistent with spin–orbit alignment. Our joint model also indicates that TOI-2533 b falls near the lower bound of the hydrogen-burning minimum mass range (M

b
= 74.9 ± 5.3 M
Jup). Ultimately, we find that TOI-2533 b is consistent with formation from disc fragmentation in a primordially spin–orbit aligned orientation, although we cannot rule out the possibility that the system has been tidally realigned during its lifetime.
Distances to Recent Near-Earth Supernovae from Geological and Lunar 60Fe
Authors: Ertel Adrienne F. , Fields Brian D.
Published: September 2024

Near-Earth supernova blasts which engulf the solar system have left traces of their ejecta in the geological and lunar records. There is now a wealth of data on live radioactive 60Fe pointing to a supernova at 3 Myr ago, as well as the recent discovery of an event at 7 Myr ago. We use the available measurements to evaluate the distances to these events. For the better analyzed supernova at 3 Myr, samples include deep-sea sediments, ferromanganese crusts, and lunar regolith; we explore the consistency among and across these measurements, which depends sensitively on the uptake of iron in the samples as well as possible anisotropies in the 60Fe fallout. There is also significant uncertainty in the astronomical parameters needed for these calculations. We take the opportunity to perform a parameter study on the effects that the ejected 60Fe mass from a core-collapse supernova and the fraction of dust that survives the remnant have on the resulting distance. We find that with an ejected 60Fe mass of 3 × 10−5
M
⊙ and a dust fraction of 10%, the distance range for the supernova 3 Myr ago is D ∼ 20–140 pc, with the most likely range between 50 and 65 pc. Using the same astrophysical parameters, the distance for the supernova at 7 Myr ago is D ∼ 110 pc. We close with a brief discussion of geological and astronomical measurements that can improve these results.
Probing the Spectrum of the Magnetar 4U 0142+61 with JWST
Authors: Hare Jeremy , Pavlov George G. , Posselt Bettina , Kargaltsev Oleg , Temim Tea , Chen Steven
Published: September 2024

JWST observed the magnetar 4U 0142+61 with the Mid-Infrared Instrument (MIRI) and Near Infrared Camera (NIRCam) instruments within a 77 minute time interval on 2022 September 20–21. The low-resolution MIRI spectrum and NIRCam photometry show that the spectrum in the wavelength range 1.4–11 μm range can be satisfactorily described by an absorbed power-law (PL) model, f

ν
∝ ν
−α
, with a spectral slope α = 0.96 ± 0.02, interstellar extinction A

V
= 3.9 ± 0.2, and normalization f
0 = 59.4 ± 0.5 μJy at λ = 8 μm. These observations do not support the passive disk model proposed in 2006 by Wang, Chakrabarty and Kaplan, based on Spitzer photometry, which was interpreted as evidence for a fallback disk from debris formed during the supernova explosion. We suggest a nonthermal origin for this emission and source variability as the most likely cause of discrepancies between the JWST data and other IR-optical observing campaigns. However, we cannot firmly exclude the presence of a large disk with a different dependence of the effective disk temperature on distance from the magnetar. Comparison with the PL fit to the hard X-ray spectrum above 10 keV, measured by the NuSTAR contemporaneously with JWST, shows that the X-ray spectrum is significantly harder. This may imply that the X-ray and IR nonthermal emission come from different sites in the magnetosphere of the magnetar.
Gaussian Process Approach for Model-independent Reconstruction of f(Q) Gravity with Direct Hubble Measurements
Authors: Gadbail Gaurav N. , Mandal Sanjay , Sahoo P. K.
Published: September 2024

The increase of discrepancy in the standard procedure to choose the arbitrary functional form of the Lagrangian f(Q) motivates us to solve this issue in modified theories of gravity. In this regard, we investigate the Gaussian process, which allows us to eliminate this issue in an f(Q) model-independent way. In particular, we use the 58 Hubble measurements coming from cosmic chronometers and the radial Baryon acoustic oscillations to reconstruct H(z) and its derivatives

H
′
(
z
)

and H″(z), which leads us to reconstruct the region of f(Q), without any assumptions. The obtained mean curve along the Lambda Cold Dark Matter (ΛCDM) constant in the reconstructed region follows a quadratic behavior. This motivates us to propose a new f(Q) parameterization, i.e., f(Q) = −2Λ + ϵ
Q
2, with the single parameter ϵ, which signifies the deviations from ΛCDM cosmology. Further, we probe the widely studied power-law and exponential f(Q) models against the reconstructed region and can improve the parameter spaces significantly compared with observational analysis. In addition, the direct Hubble measurements, along with the reconstructed f(Q) function, allow the H
0 tension to be alleviated.
Retrieving Young Cloudy L Dwarfs: A Nearby Planetary-mass Companion BD+60 1417B and its Isolated Red Twin W0047
Authors: Phillips Caprice L. , Faherty Jacqueline K. , Burningham Ben , Vos Johanna M. , Gonzales Eileen C. , Griffith Emily J. , Alejandro Merchan Sherelyn , Calamari Emily , Visscher Channon , Morley Caroline V. , Whiteford Niall , Gaarn Josefine , Ilyin Ilya , Strassmeier Klaus , Wang Ji
Published: September 2024

We present an atmospheric retrieval analysis on a set of young, cloudy, red L dwarfs—CWISER J124332.12+600126.2 (BD+60 1417B) and WISEP J004701.06+680352.1 (W0047)—using the Brewster retrieval framework. We also present the first elemental abundance measurements of the young K-dwarf (K0) host star, BD+60 1417, using high-resolution (R = 50,000) spectra taken with the Potsdam Echelle Polarimetric and Spectroscopic Instrument on the Large Binocular Telescope. In the complex cloudy L-dwarf regime the emergence of condensate cloud species complicates retrieval analysis when only near-infrared data are available. We find that for both L dwarfs in this work, despite testing three different thermal profile parameterizations we are unable to constrain reliable abundance measurements and thus the carbon-to-oxygen ratio. While we cannot conclude what the abundances are, we can conclude that the data strongly favor a cloud model over a cloudless model. We note that the difficulty in retrieval constraints persists regardless of the signal-to-noise ratio of the data examined (S/N ∼ 10 for CWISER BD+60 1417B and 40 for WISEP W0047). The results presented in this work provide valuable lessons about retrieving young, low-surface-gravity cloudy L dwarfs. This work provides continued evidence of missing information in models and the crucial need for JWST to guide and inform retrieval analysis in this regime.
Drug Rash with Eosinophilia and Systemic Symptoms Syndrome: Case Report and Literature Review
Authors: Duma Silvija , Nikolovska Suzana , Duma Hristian , Breshkovska Hristina , Dohcheva-Karajovanov Ivana , Dimova Maja , Trpeska-Boshoska Ana
Published: September 2024

BACKGROUND: Drug Reaction with Eosinophilia and Systemic Symptoms (DRESS) Syndrome is a rare, potentially life-threatening, drug-induced hypersensitivity reaction. This condition is characterized by a range of symptoms, including cutaneous reaction, hematologic abnormalities, lymphadenopathy, and potential involvement of internal organs. Most DRESS cases are associated with certain medications such as antiseizure drugs, allopurinol, antibacterial sulfonamides, minocycline, and vancomycin.
CASE PRESENTATION: We presented a case of 70-year-old women exhibiting maculopapular rash affecting the face, abdomen, and extremities. She experienced generalized pruritus, along with ulcerative crusty lesions on the mouth and mucopurulent conjunctivitis, all of which had persisted for 1 week. She was recently diagnosed with hyperuricemia and had been undergoing treatment with allopurinol for 4 weeks. During her hospital stay, the rash intensified, and there was a worsening involvement of the mucosa in the oral and ocular area. Allopurinol was promptly discontinued, and the patient was prescribed a daily dose of 100 mg prednisolone, gradually tapering off over a 2-month period. Additionally, the treatment included anticoagulants, antibiotics, local application of mild steroid emulsions, antiseptic, and antifungal therapy for the oral mucosa. Antibiotic solutions and natural tear eye drops were used. Over the 2-month period, the rash completely resolved, and the liver enzymes returned to normal levels.
CONCLUSION: DRESS syndrome is an unpredictable drug-induced reaction identified by symptoms such as rash, fever, lymphadenopathy, and potential internal organ involvement. Allopurinol is among the medications associated with this condition, particularly when there is a reduced renal clearance and simultaneous use of thiazide diuretics. Prompt withdrawal of the causative drug is the universally accepted approach to manage drug-induced hypersensitivity reactions. The use of systemic corticosteroids can reduce symptoms of delayed hypersensitivity reactions. However, the absence of randomized controlled trials leaves uncertainty about the necessity of administering steroids, sparking a controversial debate regarding their use in such cases.
Streptococcus pneumoniae and Influenza (H1N1) Virus Genome Study against Human Genome Sequences-BLASTn and DAVID Analysis
Authors: Arokiaraj Mark Christopher , Wilson Jarad , Lu Jingquio , Huang Ruo-Pan
Published: September 2024

AIMS: Streptococcus pneumoniae and influenza H1N1 virus are common organisms associated with human infections. These infections could play a significant role in immune regulation. The study was performed to analyze the genome sequences of these organisms with human genome and study its functional significance.
MATERIALS AND METHODS: The study was performed to analyze the overlapping of genome sequences in S.pneumoniae and influenza (H1N1) virus against human genome sequences by BLASTn sequence analysis. The alignments are studied against the corresponding genes for their functional significance with DAVID and NDEx software.
RESULTS: Several hits or overlapping nucleotide segments were identified. Between streptococcus and Homo Sapiens 287 overlaps were identified, and among influenza and Homo sapiens 124 hits were identified. A wide range of functional significance of these genes were identified, and the results are presented in this study. The results show insights into functional pathways and biological activities associated with the respective vaccinations or infections by these microorganisms.
CONCLUSION: The common organisms such as S. pneumoniae and influenza H1N1 virus actively interact with the immune system and result in a wide range of immune regulations.