bluuebunny/crossref_metadata_2025 huggingface dataset:
Estimation of Pressure and Temperature Rise Due to Internal Arc Generation in Switchgears
Authors: - Tanaya Vijay Muneshwar , - Chinmayee Abhay Phadke , - Atharva Nilesh Pandit , - Aaditya Vaijnath Aravat
Published: April 2023

The switchgears are vital component in energy system which protects, regulates and isolates the electrical transmission line by making or breaking the high voltage circuit with the use of circuit breakers. During the operation of switchgear internal arc is a failure criterion which is a result of a short circuit current. To quench this arc, the internal arc chamber is used which encapsulates the energy generated and protects the further transmission system and appliances. The gas insulated switchgears used for medium voltage application are enclosed inside the metal chambers and thus design of these chambers becomes crucial as they handle high pressures and temperatures. This fact is also exacerbated by the condition that metal chambers are prone to sudden increase in pressure due to internal arc phenomenon. The type testing process used for validating the design of chamber against internal arc is time consuming, costly and thus shall be performed with no margin of error. The paper aims to establish the standardized approach to calculate the instantaneous pressure and temperature rise inside the gas tank of switchgear which are otherwise impossible to approximate given the short timeframe in which internal arc occurs by using the approaches discussed in the CIGRE committee reports.
Tropical Cyclone Identification and Alert System using AlexNet and Deep CNN
Authors: - Vijay Kumar B , - V. Akhila Sai , - Gondyala Ganesh , - K Hemanth Sagar
Published: April 2023

Tropical cyclones (TCs) are catastrophic weather occurrences that can inflict massive damage in coastal regions across the world. Weather nowcasting, which is the weather forecast for a short time period, is one of the most challenging topics in meteorology. Weather radar and satellite are essential technologies for nowcasting, but issuing nowcasting warnings based on radar and satellite data is a difficult process. This proposed approach is of a deep learning approach for TC identification from aerial imagery, which includes a Deep Convolutional Neural Network of Alex-Net architecture as the classifier.
A Study on Patient Turnaround Time at Oncology Out-Patient Department in a Multispeciality Hospital
Authors: - V.Uma , - T. Priyanka
Published: April 2023

The initial point of contact in a hospital is the outpatient department (OPD). Patient satisfaction and the care received in the OPD are indicators of the hospital's level of service. The amount of time a patient spends in a facility from the time they arrive at the registration desk until they depart for the last service is known as OPD waiting time. Patient discontent is substantially impacted by lengthier wait times. A checklist was created to track every minute that patients spent in the OPD, and data was gathered via direct observation to determine the average turnaround time. In this study, 200 samples, including both appointment patients and walk-ins, had their turnaround times examined. As a result, appointment patients had to wait longer than usual due to their early presence at the OPD, 45 minutes was recorded as the average turnaround time
MCQ Question Generation using Natural Language Processing Techniques
Authors: - Bareddy Harshavardhan Reddy , - V Krishna Reddy , - M Dheeraj Kumar , - G Vishal
Published: April 2023

This paper is about creation of Multiple Choice Questions (MCQ) using Natural Language Processing Techniques. In natural language processing we used T5 text transformer model for creating question and WordNet or Sense2vec are used to generate distractors. The result should be displayed to the user using Gradio user interface. This research will be very useful in educational sectors for conducting Computer Based Test Examinations(CBTE).
Deep Learning Proactive System Security Based on CNN algorithm
Authors: - V.Krishna Reddy , - Salguti Srihitha Reddy , - S.Rajesh Reddy , - T.Ravi Kiran
Published: April 2023

Security of modern communication networks alongside the integrity and privacy of data are growing to be a necessity in recent years. The essential requirement of an institution is to preserve its own and sensitive data from internal and external attackers. The main concept in our paper is to protect the information from attacks.
A Patient with Myofascial Pain Syndrome Treated with Physical Medicine and Rehabilitation
Authors: - Nitin joshi
Published: April 2023

This case report presents a 45-year-old male patient with persistent myofascial pain syndrome (MPS) in the left shoulder and upper back regions. The patient underwent a multimodal treatment approach within the specialty of physical medicine and rehabilitation (PMR), including manual therapy, trigger point injections, and an exercise program. Over the course of 8 weeks, the patient reported significant pain reduction and improvement in functional abilities. This case report highlights the effectiveness of PMR interventions in the management of MPS and provides evidence for the use of a multimodal approach in improving pain and function in patients with persistent MPS.
Issues and Challenges in Indian Agriculture
Authors: - Swastick Sen Chowdhury
Published: April 2023

The agricultural sector is one of the most important sectors of the economy, especially with respect to employment and this sector is undergoing agrarian crisis. Growth rate in this sector is very important because it will bring about growth rate in the overall economy of India. This paper discusses the issues and challenges faced by Indian agriculture and also directs the road ahead. Yield and production of several crops have been analyzed over various states and also the statistics have been compared with international countries.
Digitale Bildung für die österreichische Lehrerschaft
Authors: Brandhofer Gerhard , Micheuz Peter
Published: April 2023

Neue Technologien im Unterricht spielen in den österreichischen Reformdebatten, wenn überhaupt, nur eine untergeordnete Rolle und finden sich fragmentiert in vereinzelten Initiativen und Projekten wieder. Diese haben zu einer sehr heterogenen digitalen Landkarte österreichischer Schulen und innerhalb der österreichischen Lehrerschaft geführt. In diesem Beitrag wollen wir überblicksmässig der Frage nachgehen, wie digitale Werkzeuge und neue Medien von der österreichischen Lehrerschaft im Unterricht genutzt werden und wie künftige österreichische Lehrpersonen in Bezug auf technologiegestützten Unterricht und eine zeitgemässe (Aus-)Bildung unserer Schülerinnen und Schüler ausgebildet werden (könnten). Nach einer notwendigen Begriffsklärung wird die aktuelle Situation zum Stellenwert digitaler Medien in der Lehrerinnen- und Lehrerbildung in Österreich dargestellt. Derzeit nicht zu übersehende strukturelle und strategische Defizite werden aufgezeigt und abschliessend Ideen für ein umfassendes Konzept präsentiert.
Die Bedeutung des internationalen Arguments in der Lehrerbildung
Authors: Gonon Philipp
Published: April 2023

Bologna, PISA, Standards und finnische Schulen sind aus den aktuelleren Veröffentlichungen auch in der Lehrerbildung kaum mehr wegzudenken. Die Lehrerbildung ist jedoch bereits seit ihrer Entstehung geprägt durch internationale Bezugnahmen. Es waren im 19. Jahrhundert schweizerische Ausbildungsstätten, die auf der pestalozzischen Methode beruhten, die in Preussen als Vorbild angesehen wurden. Die Reformen seit den 2000er-Jahren haben viele Einflüsse aus dem europäischen und weiteren globalen Umfeld aufgenommen. Internationale Argumente spielen demgemäss auch in der Lehrerbildungsdiskussion, insbesondere auf der Ebene der Bildungspolitik, eine bedeutsamere Rolle.
Prediksi Perkembangan Nilai Impor Komoditas Utama di Provinsi Sumatera Selatan Menggunakan C4.5
Authors: Purnamasari Evi
Published: April 2023

Currently, our world is still being hit by the Covid-19 virus which has impacted society, experiencing a rapid decline in the economy. At present we are entering a market where the economy is very minimal, especially in the province of South Sumatra. This affects the import value of main commodities in South Sumatra Province. So in this study, researchers conducted trials in classifying matters related to cases of predicting the level of development of the value of imports of main commodities in South Sumatra Province. In this study, predictions will be made on the level of development of the value of imports of key commodities by applying the C4.5 method, so that they can be used as material for decision-making in building a more advanced government. Based on the results of the trial, the conclusion obtained is that as an importer, you should be wiser in determining the value of imports, especially if the wealth in our province is of greater interest to other countries. So far, the South Sumatra Province has a higher import value of fertilizer compared to other types of imports. This can be used in making a policy that is significant enough to be able to make the import value prices in the South Sumatra Province all high. Based on the trial results using the orange application, an accuracy of 96.15% was obtained, meaning it had an error rate of 13.85%. This shows from the results of testing using the Decision Tree that it is very good enough to be used in predicting the level of import value.
Mechanistic approaching study in COVID-19 patients treated with high doses of vitamin D
Authors: Silva Mauro G. , Inserra Felipe , Mariani Javier , Antonietti Laura , Nuñez Myriam , Tajer Carlos , Ferder León , Inserra Pablo I. F. , Ross Fernando , Cunto Milagro Sánchez , Bertelli Magalí , de Larrañaga Gabriela , Cela Eliana M. , Maglio Daniel H. González , Gironacci Mariela M. , Manucha Walter
Published: April 2023

Aim: To evaluate angiotensin II (Ang II) and Ang-(1-7) levels and the cytokine profile in patients hospitalized with mild coronavirus disease 2019 (COVID-19) and contrast them with patients with identical clinical conditions but treated with high doses of vitamin D (vitD).
Methods: From the 218 patients recruited (ClinicalTrials.gov NCT04411446), 16 participated in this sub-study and were randomized to a single oral dose of 500,000 IU vitD (n = 10) or placebo (n = 6). Plasmatic Ang II and Ang-(1-7) levels were determined by radioimmunoassay and interleukins (ILs) 1, 6, 8, and 10 and tumor necrosis factor alpha (TNF-α) by enzyme-linked immunosorbent assay before and after treatment. Parallel, serum 25-hydroxyvitamin D3 (25-OH vitD) concentrations as vitD status was measured by a chemiluminescence immunoassay.
Results: A trend towards an increase in Ang-(1-7) and a decrease in Ang II levels were observed in placebo- and vitD-treated COVID-19 patients compared to baseline values. There was no difference in Ang II and Ang-(1-7) levels between placebo- and vitD-treated COVID-19 patients. Similar results were obtained with ILs profile. COVID-19 patients showed an increase in the protective component of the RAS which was not improved by vitD treatment.
Conclusions: VitD did not improve RAS disbalance in COVID-19. Notwithstanding, the authors visualize that acute treatment with high doses of vitD may show a trend to a decline in inflammatory ILs and an increase in protective markers. Finally, the authors would like to highlight the limitations of this preliminary study, namely the small number of patients and the use of a large single bolus dose of vitD rather than lower daily doses for extended periods with prolonged follow-up times. All these factors need special consideration in the designs of new vitD supplementation trials. All these factors need special consideration in the designs of new vitD supplementation trials (ClinicalTrials.gov identifier: NCT04411446).
Inflammatory responses involved in post-cardiac arrest brain injury: mechanisms, regulation, and therapeutic potential
Authors: Zhang Yuzhen , Li Zhentong , Zhang Kunxue , Chang Yuan , Chen Jiancong , Al-Nusaif Murad , Pan Suyue , Huang Kaibin
Published: April 2023

Neuroinflammation plays a key role in the pathogenesis of post-cardiac arrest (CA) brain injury. Innate immune cells sense a variety of danger signals through pattern-recognition receptors and evoke rapidly after ischemic challenge, triggering inflammatory responses and amplifying brain damage. A programmed cell death (PCD) pathway is activated after ischemic and/or inflammatory stimuli, leading to the elimination of the damaged cells. However, PCD also regulates inflammatory responses flexibly. The present review aimed to summarize the mechanisms of inflammatory responses, including the biology of immune cells, the innate immune recognition that initiates the inflammation, and the immunomodulatory effects of PCD following CA. Promising therapeutic approaches of targeting inflammatory responses to alleviate brain injury and improve neurological outcomes after CA are also reviewed.
Cystic presentation of primary hepatic neuroendocrine tumour: a case report with a brief review of literature
Authors: Londhe Mangesh , Garg Sakshi , Gurwale Sushama , Gore Charusheela
Published: April 2023

Neuroendocrine tumours (NETs) are a rare type of tumours that arise from the neuroendocrine cells which are distributed throughout the body. Of all the gastrointestinal tumours only 1–2% account for NETs. They have an extremely low incidence of 0.17% arising in the intrahepatic bile duct epithelium. Majority of hepatic NETs occur as a result of metastases from the primary NETs. Most cases of primary hepatic NET (PHNET) present as a solid nodular mass. However, predominantly cystic PHNET is extremely rare which mimics other cystic space-occupying lesions clinically and radiologically as seen in this case.
Building Information Modeling einführen/Implementing Building Information Modeling – Realizing the digital Factory
Authors: Neuhäuser Thomas , Daub Rüdiger
Published: April 2023

Das produzierende Gewerbe in Deutschland befindet sich in einem zunehmend turbulenten Umfeld. Eine entscheidende Rolle kommt dabei der Reaktions- und Anpassungsfähigkeit an neue Gegebenheiten zu. Um die notwendigen Anpassungen umzusetzen, steigt die Relevanz digitaler Methoden, Modelle und Werkzeuge in der Fabrikplanung signifikant an. Wie Building Information Modeling in die digitale Fabrik eingeordnet und in Unternehmen eingeführt werden kann, wird in diesem Beitrag vorgestellt.

 

The environment of manufacturing companies in Germany is considered to be increasingly turbulent. The capicity of companies to react and adapt to new market conditions plays a decisive role. Increasingly relevant for implementing the necessary adjustments is the use of digital methods, models and tools in factory planning. This article shows how Building Information Modeling relates to the digital factory and can be implemented in companies.
Prozesskettenplanung unter Unsicherheit/Process chain planning under uncertainty – Consideration of internal and external uncertainties during planning of process chains across companies
Authors: Denkena Berend , Wichmann Marcel , Kettelmann Simon
Published: April 2023

Die Planung von fertigungstechnischen Prozessketten über Unternehmensgrenzen hinweg ist aufgrund technologischer Wirkbeziehungen zwischen Prozessschritten eine große Herausforderung. In diesem Beitrag wird eine Planungsmethode vorgestellt, die mit dezentralen Modulen eine unternehmensübergreifende Optimierung der Fertigungskosten ermöglicht. Zusätzlich werden Unsicherheiten durch Modellfehler sowie externe Einflüsse in die Methode eingebunden. Dadurch wird eine kollaborative Planung umgesetzt, die zu robusten Ergebnissen führt.

 

Planning of manufacturing process chains across companies is a great challenge due to technological interdependencies. This paper presents a planning method enabling cross-company manufacturing cost optimization with decentralized modules. In addition, uncertainties due to model errors as well as external factors made are integrated into the method. This allows for collaborative planning and leads to robust results.
A novel end-to-end dual-camera system for eye gaze synchrony assessment in face-to-face interaction
Authors: Thorsson Max , Galazka Martyna A. , Åsberg Johnels Jakob , Hadjikhani Nouchine
Published: April 2023

Quantification of face-to-face interaction can provide highly relevant information in cognitive and psychological science research. Current commercial glint-dependent solutions suffer from several disadvantages and limitations when applied in face-to-face interaction, including data loss, parallax errors, the inconvenience and distracting effect of wearables, and/or the need for several cameras to capture each person. Here we present a novel eye-tracking solution, consisting of a dual-camera system used in conjunction with an individually optimized deep learning approach that aims to overcome some of these limitations. Our data show that this system can accurately classify gaze location within different areas of the face of two interlocutors, and capture subtle differences in interpersonal gaze synchrony between two individuals during a (semi-)naturalistic face-to-face interaction.
A tutorial on Bayesian model-averaged meta-analysis in JASP
Authors: Berkhout Sophie W. , Haaf Julia M. , Gronau Quentin F. , Heck Daniel W. , Wagenmakers Eric-Jan
Published: April 2023

Researchers conduct meta-analyses in order to synthesize information across different studies. Compared to standard meta-analytic methods, Bayesian model-averaged meta-analysis offers several practical advantages including the ability to quantify evidence in favor of the absence of an effect, the ability to monitor evidence as individual studies accumulate indefinitely, and the ability to draw inferences based on multiple models simultaneously. This tutorial introduces the concepts and logic underlying Bayesian model-averaged meta-analysis and illustrates its application using the open-source software JASP. As a running example, we perform a Bayesian meta-analysis on language development in children. We show how to conduct a Bayesian model-averaged meta-analysis and how to interpret the results.
Privatization and efficiency
Authors:   The Korean Data Analysis Society, Choi Seung Doo
Published: April 2023

According to previous studies, privatization of SOEs leads to significant efficiency improvements. However, recent studies reported that privatization does not have a significant efficiency improvement effect. This paper analyses the change in efficiency of 117 privatized companies in 31 countries from 1980 to 2010. Among the three indicators used as indicators of efficiency: cost per unit, earnings before interest and taxes per employee, and total asset turnover, the one that showed a clear improvement was the total asset turnover. Meanwhile, cost per unit deteriorated significantly, but then started to recover. And the movements of this indicator is consistent with the implications of Perotti (1995)'s signaling model, which is the theoretical basis of privatization. The earnings before interest and taxes per employee continues to deteriorate over the whole sample period. Therefore, it is judged that privatization authorities should strive to develop more sophisticated and careful privatization programs to improve the efficiency of privatized companies.
Performance optimization-based boosting algorithm for resolving class imbalance problems in finance
Authors:   The Korean Data Analysis Society, Kim Myoung-Jong , Ahn Jae-Hyun , Kim Yun-Hu
Published: April 2023

In this paper, we propose a GMBoost (Geometric Mean-based Boosting) with a direct performance optimization technique to resolve class imbalance problem in financial field, such as bankruptcy, card insolvency, and card fraud. The conventional boosting models including AdaBoost, GBM, and XGBoost are used as benchmarking models for performance comparison. The main findings of 30 rounds of cross validations are as follows. First, the conventional boosting models largely depend on the specificity of majority, but ignore the sensitivity of minority. On the contrary, GMBoost proceeds with balanced learning that simultaneously considers the specificity and the sensitivity at the same time. Second, GMBoost outperforms the conventional boosting algorithms in terms of GM and AUC, and the results of the t-test for GM and AUC also showed that the performance of GMBoost is significantly different from those of the benchmarking models.
The Effects of Test Anxiety and Social Anxiety on Eating Attitudes among Nursing Students
Authors:   The Korean Data Analysis Society, Jeong Song bin , Choi Sujeong , Ha Yerim , Cho Munkyung , Hong Seona , Jo Sumi , Yoon Ji Su , Choi Jung eun , Cho Hayun , Cha Hyosung
Published: April 2023

The purpose of this study was to identify the status of test anxiety, social anxiety, and eating attitudes among nursing students and the factors that affect their eating attitudes. The study’s subjects were 160 nursing students in grades 1 to 3 located in Gyeonggi-do, and data collection was conducted from May 27 to June 14, 2022. The collected data were subjected to t-test, ANOVA, Pearson's correlation coefficient, and multiple regression analysis. Eating attitudes showed significant differences according to gender(t=-2.31, p=.022), BMI(F=5.67, p=.004), caffeine intake(t=-3.46, p<.001), and academic satisfaction(F=4.23, p=.016), and were significantly correlated with test anxiety(r=.285, p<.001) and social anxiety(r=.266, p<.001). The predictors of eating attitudes of nursing students were gender (β=.23, p=.002), BMI (18.5kg/m2∼22.9kg/m2, β=.34, p=.001; ≥23kg/m2, β=.43, p<.001), caffeine intake (β=.23, p=.002), test anxiety (β=.18, p=.026), and social anxiety (=β.16, p=.049) and the model’s explanatory power was 26.6%. Based on this study’s results, it is necessary to take a multilateral approach at the school and community levels to form a healthy body image for female nursing students. Furthermore, the development of a psychological support program for nursing students and its application in the educational field should be considered to reduce nursing students’ test anxiety and social anxiety.
Differences in the perception of village learning curriculum between general and innovative school teachers
Authors:   The Korean Data Analysis Society, Kwon DaNam , Kim Daehyun
Published: April 2023

The purpose of this study is to analyze the difference in perception of village learning curriculum between teachers of general schools and innovative schools. To this end, a survey was conducted on a total of 802 elementary and middle school teachers in B area, and the necessity, operation principle, content, and method of village learning curriculum recognized by general and innovative school teachers were analyzed through reliability analysis, frequency analysis, average analysis, cross analysis, and t verification. The results are as follows. First, there was a statistically significant difference between general schools and innovative schools in all questions about the necessity and expected effect of the village learning curriculum. Second, in the operating principle of the village learning curriculum, all nine questions showed statistically significant differences between general schools and innovative schools. Third, there were statistically significant differences between general schools and innovative schools in all questions about the content and method of the village learning curriculum. Lastly, there were no statistically significant differences in the remaining five questions except for the lack of interest and understanding of teachers, lack of support from school managers, opposition from parents, and lack of available facilities. Based on these results, discussions and conclusions were presented focusing on ways to improve the village learning curriculum derived.
VOLATILE ORGANIC COMPOUNDS AND METALS ADSORPTION CAPACITY OF WOOD BARK-BASED ACTIVATED CARBONS
Authors: LEE YOUNG-KYU , KWON OHKYUNG , CHOI WONSIL , MOON MYOUNGCHEOL , SO JAE MIN , THITHAI VILASIT , CHOI JOON WEON , KIM DAYE , YANG IN
Published: April 2023

This study was conducted to investigate the applicability of wood bark-based activated carbon (AC) for the adsorption of metal ions and volatile organic compounds (VOC) from the atmosphere. Contents of Fe and Al in the AC made with coconut shell, and the bark of larch and cork oak (CSA, LBA and COA, respectively) were higher than those of the unexposed AC and increased with the exposure to various indoor/outdoor spaces when compared to the unexposed AC. However, Fe and Al contents of the exposed AC, which is a coal-based one used as a control (SAA), were lower and scarcely higher than the unexposed SAA. From the results, it is evident that the wood bark-based AC examined in this study is more effective to adsorb metals than SAA. The SEM-EDS analysis exhibited prominent metal-adsorptivity of COA, although its total surface area and pore volume were lower than those of SAA. Total VOC-adsorptivity was the highest in COA followed by CSA, CBA (cypress bark activated carbon), LBA and SAA. In conclusion, wood bark-based AC can be utilized as an effective adsorbent for the removal of metals and VOC from the atmosphere. The optimum AC is COA, an industrial by-product, in view of the techno-economic aspect.
OPTIMIZATION OF THE MANUFACTURING OF METASEQUOIA-BASED THREE-LAYER STRUCTURE PARQUET FLOORING BY A RESPONSE SURFACE METHODOLOGY
Authors: ZHANG HUIMIN , YANG YU , LIU YU , JIANG YAHUA , LIU RENYUAN
Published: April 2023

On the basis of a single-factor experiment, a mathematical model was established by the response surface analysis method based on the Box-Behnken experimental design principle. The effects of three factors, including hot-pressing temperature, hot-pressing time, and hot-pressing pressure, and their interactions on the modulus of rupture (MOR) of Metasequoia-based three-layered structure parquet flooring were studied. The results show that the quadratic polynomial model in the regression equation is significant, and the correlation between the value predicted by the model and the experimental value is 91.17%. The optimized best hot-pressing process parameters are determined to be as follows: hot-pressing temperature of 96.03°C, hot-pressing time of 6.70 min, and hot-pressing pressure of 8 kg·cm-2. Under these conditions, the best MOR are obtained, reaching a value of 102.05 MPa. The theoretically predicted value is in good agreement with the experimental results.
Degradation of malachite green dye by capping polyvinylpyrrolidone and Azadirachta indica in hematite phase of Ni doped Fe2O3 nanoparticles via co-precipitation method
Authors: Thakur Naveen , Kumar Pankaj , Tapwal Ashwani , Jeet Kamal
Published: April 2023

In the present research, a chemical co-precipitation approach has been used to approach the synthesis, characterization, and photocatalytic applicability of Ni-doped α-Fe2O3 (hematite) nanoparticles. Biosynthesized iron oxide nanoparticles (IONPs) were successfully synthesized using a non-toxic leaf extract of the Azadirachta indica (AI) plant (neem) as a reducing and stabilizing agent. X-ray diffraction (XRD), transmission electron microscopy (TEM), scanning electron microscopy (SEM), Raman spectroscopy, FT-IR spectroscopy, ultraviolet-visible (UV-Vis) spectroscopy, and vibrating sample magnetometer (VSM) have all been used to examine the synthesized materials. All of the produced NPs contain only the nanocrystalline hematite phase, according to XRD measurements. The morphology studies of the Ni-doping hematite nanoparticles, as demonstrated by TEM and SEM. The phase purity and phonon modes of the prepared nanoparticles are confirmed by Raman spectroscopy. The UV-Vis absorption tests show also that value of the band gap increases together with the reduction in particle size, going from 2.26 eV for chemical α-Fe2O3 to 2.5 eV for green Ni-doped α-Fe2O3 nanoparticles. Additionally, it was clear from the magnetic characteristics that all of the samples behaved ferromagnetically at ambient temperatures. On the other side, malachite green (MG) dye was used as a surrogate industrial wastewater dye in order to study the photocatalytic efficiency of Ni-doped α-Fe2O3 particles. The pure/green Ni-doped α-Fe2O3 NPs showed that after 70 minutes of exposure, 92% of the MG had become discolored.
COMUNIDADE DE AVES E A INTERAÇÃO AVE-PLANTA EM UM ENCLAVE DE CAMPINARANA NO SUDOESTE DA AMAZÔNIA
Authors: Santos M. , Guilherme E.
Published: April 2023

O presente estudo teve como objetivo investigar a dispersão de sementes por aves frugívoras em um ecossistema de campinarana no sudoeste da Amazônia. Realizamos o estudo em um enclave de campinarana localizado no oeste do estado do Acre, em uma das trilhas permanentes ao Programa de Pesquisa em Biodiversidade (PPBio/Acre), com três fitofisionomias predominantes: campinarana arbórea (CA); campinarana arbustiva (CAR) e campinarana florestada (CF). Utilizamos 10 redes de neblina para a captura das aves no período de abril a setembro de 2019. Capturamos 396 indivíduos de 49 espécies de aves, distribuídas em 14 Famílias e três Ordens. Na CA foram capturados 131 indivíduos (33,1%), na CAR 175 (44,1%) e na CF 90 (22,7%). Dos 396 indivíduos capturados, 172 (60,3%) forneceram material fecal e, em 89 (52%) havia sementes. Coletamos 921 sementes a partir do material fecal das aves, classificadas em 54 táxons botânicos, destes, cinco foram identificadas a nível de espécie e 49 a nível de gênero, pertencentes a 19 famílias botânicas. As espécies Xenopipo atronitens (CA e CAR) e Ceratopipra rubrocapilla (CF) apresentaram o maior índice de importância na dispersão de sementes entre todas as aves capturadas. A análise de similaridade indicou que cada fitofisionomia possui uma comunidade de aves diferentes entre si ao longo do transecto amostrado. A dispersão de sementes foi predominantemente realizada por espécies de aves da família Pipridae e a dissimilaridade entre a comunidade de aves de sub-bosque dentro do enclave pode ser atribuída a variação estrutural e florística de cada fitofisionomia.
PROCESOS SUCESIONALES DE LA VEGETACIÓN BAJO PLANTACIONES FORESTALES Y BOSQUE ANDINO EN LA HOYA DE LOJA, ECUADOR
Authors: Aguirre Zhofre , González Leonardo , Muñoz Johana , Muñoz Luis
Published: April 2023

Los procesos ecológicos de la vegetación dan información importante para la restauración de paisajes. La investigación cumplió los objetivos de monitorear la sucesión vegetal bajo plantaciones forestales, conocer la dinámica poblacional de tres especies y los bancos de semillas en el suelo del bosque. Se establecieron cinco parcelas de 20 x 20 m, bajo la plantación de Pinus radiata y cinco bajo Eucalypthus globulus; se anidaron cinco subparcelas de 25 m2 y cinco de 1 m2, para plántulas, brinzales y latizales, se midió altura y diámetro basal al inicio y a los 12 meses; se determinó composición florística, parámetros estructurales, sobrevivencia y crecimiento. Para la dinámica poblacional de Clethra fimbriata, Nectandra laurel y Prunus opaca se establecieron 24 parcelas de 20 x 20 m, se registraron individuos con diámetros ≥ 10 cm. Para la composición florística del banco de semillas del suelo se colectaron 30 muestras de suelo mineral y 30 de la capa orgánica, se monitoreo la germinación durante 113 días. Bajo la plantación de Pinus radiata se identificaron 24 especies, Piper barbatum y Viburnum triphyllum tienen mayor IVI; el incremento en altura y diámetro es mayor en Frangula granulosa, Clusia latipes. Bajo Eucalyptus globulus se registró 28 especies, presentan mayor IVI: Solanum aphyodendron y Miconia obscura, el mayor crecimiento en altura presentan Viburnum triphyllum y Verbesina arborea; y, en diámetro Solanum aphyodendron y Alnus acuminata. Clethra fimbriata, Nectandra laurel y Prunus opaca presentan densidades de 32 ind/ha, 9 ind/ha y 23 ind/ha respectivamente, la distribución es agregada para Clethra fimbriata y Nectandra laurel y aleatoria para Prunus opaca. En la capa orgánica del suelo germinaron 33 especies y en la capa mineral 24. Existe sucesión vegetal bajo plantaciones forestales, la dinámica poblacional de las tres especies garantiza su permanencia y los bancos de semillas del suelo son activos.
MILITARISM AND FEAR IN A TIME OF PANDEMIC IN THE PHILIPPINES: TOWARDS A THEOLOGY OF TRANSGRESSION
Authors: Meneses K.C.
Published: April 2023

The pandemic was an opportunity for authoritarian regimes to intensify militarism and cultivate fear, resulting in the disablement of the most vulnerable in society. Fear dissipates when basic freedoms are at stake. People who once were afraid have learned to transgress, “to step across”, because they just had enough of the Duterte regime’s deception. In light of this context, I argue, like Michel Foucault, that transgression can be a positive notion and not opposed to transcendence. In fact, it belongs to  similar semantic cluster. An interruption can be viewed not as seeking attention, but rather as a cessation that aims for communion. Drawing from the lived experiences of persons with disabilities, I suggest a reversal of the negative perception of interruption to be incarnational, which can pave the way to a theology of transgression that is liberative.
BECOMING WHOLE AGAIN: THE GOAL OF WOMEN’S STRUGGLE AGAINST SEX ABUSE IN CATHOLIC SCHOOLS IN THE PHILIPPINES
Authors: Cleofas J.A.
Published: April 2023

This article focuses on sex abuse and abuse of power in Catholic schools in the Philippines. I argue that these schools should ground policy design and decision-making on the relational safety model developed by Maria Carmen B. La Viña and her colleagues at the Catholic Safeguarding Institute, and on a holistic pastoral approach developed by Nila Bermisa. The latter offers a life-giving vision on what to aim for in dealing with abuse as Christians, namely renewal and a movement toward fullness of life. I show that failure to reference the work of these two women is connected to the commission of egregious mistakes such as promoting silence and secrecy that further harm victims, partiality toward abusers, perpetuating organisational structures that correlate with abuse, and failing to listen to women who point to a connection between abuse and patriarchal Catholic culture.
PACMan2: Next Steps in Proposal Review Management
Authors: Strolger Louis-Gregory , Pegues Jamila , King Tegan , Miles Nathan , Ramsahoye Michelle , II Keith Ceruti , Blacker Brett , Reid I. Neill
Published: April 2023

With the start of a new Great Observatories era, there is renewed concern that the demand for these forefront facilities, through proposal pressure, will exceed conventional peer-review management’s capacity for ensuring an unbiased and efficient selection. There is need for new methods, strategies, and tools to facilitate those reviews. Here, we describe PACMan2, an updated tool for proposal review management that utilizes machine-learning models and techniques to topically categorize proposals and reviewers, to match proposals to reviewers, and to facilitate proposal assignments, mitigating some conflicts of interest. We find that the classifier has cross-validation accuracy of 80.0% ± 2.2% on proposals for time on the Hubble Space Telescope and the James Webb Space Telescope.
Steeper Scattered Disks Buckle Faster
Authors: Zderic Alexander , Madigan Ann-Marie
Published: April 2023

Disks of low-mass bodies scattered by giant planets to large semimajor axis and constant periapsis orbits are vulnerable to a buckling instability. This instability exponentially grows orbital inclinations, raises periapsis distances, and coherently tilts orbits resulting in clustering of arguments of periapsis. The dynamically hot system is then susceptible to the formation of a lopsided mode. Here we show that the timescale of the buckling instability decreases as the radial surface density of the population becomes more centrally dense, i.e., steeper scattered disks buckle faster. Accounting for differential apsidal precession driven by giant planets, we find that ∼10 M
⊕ is sufficient for a primordial scattered disk in the trans-Neptunian region to have been unstable if

dN
∝

a

−
2.5

da

.
Compact Sources in the A401–A399 Galaxy Cluster System Observed at 90 GHz with the MUSTANG-2 Camera
Authors: Isopi Giovanni , Radiconi Federico , Capalbo Valentina , Battistelli Elia S. , Carretti Ettore , Dicker Simon , Govoni Federica , Hincks Adam , Loi Francesca , Mason Brian , Mroczkowski Tony , Murgia Matteo , Orlowski-Scherer John , Ramatsoku Mpati , Romero Charles , Sarazin Craig , Serra Paolo , Vacca Valentina
Published: April 2023

We report the fluxes of 10 compact sources in 90 GHz maps of the galaxy cluster A401 and the intercluster region between A401 and A399 from 66 hr of observations with the MUSTANG-2 receiver on the Green Bank Telescope. All sources have been previously detected in other bands (IR or radio). The flux and central coordinates of each source are fitted with 2D Gaussian profiles and fluxes are compared with an aperture photometry method. Future observations over a larger area would be a unique tool to compare theoretical predictions of source counts at 90 GHz with measured data, as well as refining their spectral index and improve extrapolations to higher frequencies.
Mysid subfamily Boreomysinae (Crustacea: Mysida: Mysidae) in the southeast Australian deep-sea
Authors: Daneliya Mikhail E.
Published: April 2023

The deep-water mysid crustaceans of Australia have been barely known. Recent explorations of RV Investigator (CSIRO) in the southeast Australian waters discovered a unique fauna. In this special study of the marine subfamily Boreomysinae (family Mysidae) in Australia, five species from both genera Boreomysis and Neobirsteiniamysis are reported, including two new species for science: B. inopinata sp. nov., B. sibogae, B. sphaerops, B. urospina sp. nov. and N. inermis. Among the members of the subfamily, only B. sibogae has been previously known from Australia. The genus Neobirsteiniamysis and its bipolar-amphitropical species N. inermis are firstly recorded in Australia. Boreomysis inopinata sp. nov. has additional spinules on the outer spine of the antennal scale, which are not found in other species of the subfamily. Boreomysis urospina sp. nov. has the longest first segment of the uropodal exopod, laterally terminated by three spiniform setae; and its uropodal endopod is armed with up to five medial spiniform setae, the largest number in the subfamily. This species is included in a newly established subgenus Petryashovia subgen. nov., which unites epi-mesopelagic boreomysines, lacking the rostral projection, having rather small ventrolateral lobes of the carapace, and the 1-segmented propodus of the pereopods. The subfamily and generic diagnoses are updated. Additionally, a fragment of the mtDNA COI gene was sequenced for most of the studied species.
Checklist of the bees (Hymenoptera, Apoidea) of New Caledonia
Authors: Zakardjian Marie , Jourdan Hervé , Cochenille Thomas , Mahé Prisca , Geslin Benoît
Published: April 2023

In a world where insects and notably bees are declining, assessing their distribution over time and space is crucial to evaluate species status and highlight conservation priorities. However, this can be a daunting task, especially in areas such as tropical oceanic islands where exhaustive samplings over time have been lacking. This is the case in New Caledonia, an archipelago located in the Southwest Pacific. Historical records of bee species are piecemeal, and although contemporary samplings have significantly advanced our knowledge of the bee fauna of New Caledonia, the status of several species remains to be elucidated.

Here we provide an updated checklist of the 51 bee species recorded for New Caledonia using previous publications and personal samplings. We documented their distribution, origin (i.e., endemic, native, or alien), and the year and location of their occurrences. Based on the year of their first and last capture, we associated them with an occurrence status. Thus, 10 years after the last checklist of the New Caledonian bee fauna, literature review and recent samplings allowed us to add 6 new species to the list. Half of them are recently introduced species and one is mentionned for the first time in this paper (i.e., Hylaeus albonitens). We consider here that 30 species are effectively present on the territory, and the presence of 21 species could not be determined due to a lack of data, which highlights the need to increase sampling efforts across New Caledonia. Given the difficulty of exhaustively sampling the whole archipelago, we would recommend taking as a starting point altitude environments and areas where data deficient species were captured. In a broader perspective, biomolecular analyses are crucial to confirm species identifications. This is also needed to make comparisons between archipelagos and thus clarify the distribution and status of species at the scale of the Southwest Pacific.
Threshold dynamics of a stochastic general SIRS epidemic model with migration
Authors: Cao Zhongwei , Zhang Jian , Su Huishuang , Zu Li
Published: April 2023

In this study, a stochastic SIRS epidemic model that features constant immigration and general incidence rate is investigated. Our findings show that the dynamical behaviors of the stochastic system can be predicted using the stochastic threshold $ R_0^S $. If $ R_0^S < 1 $, the disease will become extinct with certainty, given additional conditions. Conversely, if $ R_0^S > 1 $, the disease has the potential to persist. Moreover, the necessary conditions for the existence of the stationary distribution of positive solution in the event of disease persistence is determined. Our theoretical findings are validated through numerical simulations.
Computational modeling of fractional COVID-19 model by Haar wavelet collocation Methods with real data
Authors: Zarin Rahat , Humphries Usa Wannasingha , Khan Amir , Raezah Aeshah A.
Published: April 2023

This study explores the use of numerical simulations to model the spread of the Omicron variant of the SARS-CoV-2 virus using fractional-order COVID-19 models and Haar wavelet collocation methods. The fractional order COVID-19 model considers various factors that affect the virus's transmission, and the Haar wavelet collocation method offers a precise and efficient solution to the fractional derivatives used in the model. The simulation results yield crucial insights into the Omicron variant's spread, providing valuable information to public health policies and strategies designed to mitigate its impact. This study marks a significant advancement in comprehending the COVID-19 pandemic's dynamics and the emergence of its variants. The COVID-19 epidemic model is reworked utilizing fractional derivatives in the Caputo sense, and the model's existence and uniqueness are established by considering fixed point theory results. Sensitivity analysis is conducted on the model to identify the parameter with the highest sensitivity. For numerical treatment and simulations, we apply the Haar wavelet collocation method. Parameter estimation for the recorded COVID-19 cases in India from 13 July 2021 to 25 August 2021 has been presented.
Comparative Analysis in Connection with the Prohibition of Anti-Competitive Agreements in Kosovo, North Macedonia and Albania
Authors:   Faculty of Law, South East European University, Tetovo, North Macedonia, Jashari Adnan , Osmanaj Egozone ,   Faculty of Law, University for Business and Technology, Prishtina, Kosovo
Published: April 2023

This study examines and analyzes anti-competitive agreements in Kosovo, North Macedonia and Albania. Also, it examines in some aspects the similarities and differences of the competition laws of the countries in question, with the competition law of the EU. It aims to achieve these basic objectives: to analyze the evolution of competition law in Kosovo, North Macedonia and Albania; to provide a clear analysis of the competition law of the countries included in the study, in terms of the prohibition of anti-competitive agreements; and compare it with the EU competition law; to analyze the behaviors of undertakings that constitute prohibited agreements in the sense of competition law; to analyze important decisions of the Competition Authorities, regarding the prohibition and punishment of anti-competitive agreements; and to consider punitive measures (fines) for violation of rules related to anti-competitive agreements. The analysis shows that there is a high alignment of the competition laws of the countries included in the study with the EU acquis, and that the challenge for the Competition Authorities remains the low number of imposed fines and their non-execution.
Continuance Intention to Use Bilibili for Online Learning
Authors: Liu Xindi , Yu Zhonggen
Published: April 2023

Bilibili, a popular video-sharing and danmaku-themed platform, has played a crucial role in online learning. However, limited research has been conducted to examine the factors that influence its users' continuance intention. Thus, this study proposes an integrated model of technology acceptance model, expectation-confirmation model, and task-technology fit based on the data collected from 265 Chinese participants. The model also includes content richness and a newly introduced variable, danmaku interface, to fill the research gap. The results show that 1) content richness has no positive influence on satisfaction and perceived usefulness, 2) danmaku interface significantly and positively influences satisfaction at the significant 0.05 level but has no positive effect on perceived usefulness, 3) task-technology fit positively and significantly predicts perceived ease of use and perceived usefulness at the significant 0.05 level, and 4) the other hypotheses within TAM and ECM are well accepted. The features and educational functions of Bilibili could be further explored in the future.
Digital Transformation and Firm Performance
Authors: Zhao Feifei , Meng Tao , Wang Wei , Alam Faizan , Zhang Bingchao
Published: April 2023

Digital transformation has become an important channel for firms to build a competitive advantage in the digital economy. However, user participation, an important source of external knowledge for firms, has received limited attention in research related to digital transformation. Drawing on the knowledge-based view, the study uses a sample of 247 Chinese firms to investigate the impact of digital transformation on firm performance. The study examines the mediating role of user participation between digital transformation and firm performance and the moderating role of both environmental dynamics and absorptive capacity on the relationship between user participation and firm performance. Findings herein encourage digital transformation firms to pay attention to user participation, strengthen their ability to establish good relationships with users, improve their ability to absorb their knowledge, and make a strong effort to cultivate digital users.
Beyond Antioxidation: Keap1–Nrf2 in the Development and Effector Functions of Adaptive Immune Cells
Authors: Pant Anil , Dasgupta Debolina , Tripathi Aprajita , Pyaram Kalyani
Published: April 2023

Ubiquitously expressed in mammalian cells, the Kelch-like ECH-associated protein 1 (Keap1)–NF erythroid 2–related factor 2 (Nrf2) complex forms the evolutionarily conserved antioxidation system to tackle oxidative stress caused by reactive oxygen species. Reactive oxygen species, generated as byproducts of cellular metabolism, were identified as essential second messengers for T cell signaling, activation, and effector responses. Apart from its traditional role as an antioxidant, a growing body of evidence indicates that Nrf2, tightly regulated by Keap1, modulates immune responses and regulates cellular metabolism. Newer functions of Keap1 and Nrf2 in immune cell activation and function, as well as their role in inflammatory diseases such as sepsis, inflammatory bowel disease, and multiple sclerosis, are emerging. In this review, we highlight recent findings about the influence of Keap1 and Nrf2 in the development and effector functions of adaptive immune cells, that is, T cells and B cells, and discuss the knowledge gaps in our understanding. We also summarize the research potential and targetability of Nrf2 for treating immune pathologies.