bluuebunny/crossref_metadata_2025 huggingface dataset:
QUALIFICAÇÃO E VALORIZAÇÃO DOCENTE: UM CAMINHO IMPERATIVO PARA A EXCELÊNCIA EDUCATIVA NO SÉCULO XXI
Authors: Lima Francisco de Assis Soares , Vieira Edinilson Santos , Leal Débora Araújo
Published: May 2024

Neste artigo, exploramos a necessidade imperativa de qualificação e valorização docente no contexto educacional do século XXI. Em face das rápidas mudanças sociais e tecnológicas, a qualificação dos professores não se mostra apenas como um complemento, mas sim como uma exigência para atender ao perfil dinâmico e diverso do aluno contemporâneo. Abordamos a distinção entre formação inicial e continuada, ressaltando a importância de uma visão integrada que reconheça as competências multidimensionais necessárias para o professor moderno. No entanto, a qualificação por si só não basta. A valorização docente, que vai além da justa remuneração, envolve o reconhecimento social da profissão, as condições de trabalho e a possibilidade de progressão na carreira. Examinamos a inter-relação entre qualificação e valorização, propondo uma abordagem sinérgica, onde a valorização serve como incentivo para a busca constante pela qualificação. Com base em pesquisa bibliográfica, apresentamos evidências globais que destacam os benefícios de investir simultaneamente em ambas as vertentes, culminando em melhor desempenho docente e consequentemente enriquecimento da experiência de aprendizagem dos alunos. Concluímos destacando a urgência de políticas públicas e práticas institucionais que deem prioridade à qualificação e valorização dos professores, visando uma educação de excelência adaptada às demandas do século XXI. Garantindo um melhor desempenho docente e consequente enriquecimento da experiência de aprendizagem dos alunos.
The GRAS-2 Radio Occultation Mission
Authors: Rasch Joel , Carlström Anders , Christensen Jacob , Liljegren Thomas
Published: May 2024

Abstract. The second generation of the Global navigation satellite system Receiver for Atmospheric Sounding (GRAS-2) is a Radio Occultation (RO) instrument which is capable of providing 2000 atmospheric profiles per day. The instrument is hosted on all satellites in the Metop Second Generation (Metop-SG) series for polar orbit operation. The GRAS-2 instruments provide occultation measurements from the Galileo, GPS and BeiDou satellites at their common frequencies centred at 1575.42 MHz (L1) and 1176.45 MHz (L5). Using high-gain antennas and an ultra-stable oscillator, neutral bending angles are measured at an unprecedented accuracy of 0.3–0.4 µrad which is better than the requirement of less than 0.5 µrad. The RO signal will be measured deep into the troposphere using a novel open loop tracking scheme utilizing multiple correlator outputs for operation with a tailored ground processing algorithm optimized for extracting signals with low amplitudes approaching the noise floor limitation. Ionosphere measurements to an altitude of 600 km are also acquired.
Spatial and temporal variability of sea surface temperatures and monsoon dynamics in the northwestern Arabian Sea during the last 43 kyr
Authors: Maier Jan , Burdanowitz Nicole , Schmiedl Gerhard , Gaye Birgit
Published: May 2024

Abstract. In this study, we present the first well-dated, high-resolution alkenone-based sea surface temperature (SST) record (SL167) from the northeastern Oman Margin (Gulf of Oman) in the northwestern Arabian Sea. The SST reconstructions spanning the last 43 kyr reveal fluctuations of approximately 7 °C (20.1 °C to 27.4 °C) and demonstrate a higher sensitivity to climate variations compared to similar core locations in the Arabian Sea. SSTs remained low during Heinrich events (H2, H3, H4), the Younger Dryas, early and late Holocene, and were high during Dansgaard-Oeschger interstadials (D-O 11, D-O 4 - 9, Bølling-Allerød (B-A), and mid-Holocene. SST was predominantly influenced by the SW monsoon during warmer periods and the NE monsoon during cold intervals. The dynamics of strengthening and weakening monsoon periods were likely controlled by shifts in the Intertropical Convergence Zone prompted by changes in solar radiation in the Northern Hemisphere. The last glacial maximum exhibited no intense cooling probably due to stronger NW winds and an eastward shift of the SST gradient in the Gulf of Oman, resulting in a brief and moderate cooling period. Strong SW winds during the early Holocene transported cold water masses from Oman upwelling into the Gulf of Oman, lowering SSTs. A rapid temperature increase of approx. 2 °C during the mid-Holocene was induced by an abrupt eastward shift of the SST gradient.
Technical note: Flow cytometry assays for the detection, counting and cell-sorting of polyphosphate-accumulating bacteria
Authors: Bouquet Clémentin , Billard Hermine , Bidaud Cécile , Colombet Jonathan , Chang Young-Tae , Benzerara Karim , Skouri-Panet Fériel , Duprat Elodie , Lehours Anne-Catherine
Published: May 2024

Abstract. In the context of the ecological sustainability of phosphorus (P), the emerging evidence of the ubiquitous presence of polyphosphate-accumulating bacteria (PAB) in natural environments invites efforts to reveal their unknown functions and roles in the biogeochemical cycle of P. This requires high-throughput methods to characterise PAB structure and dynamics in the environment. A promising strategy is to combine efficient staining of intracellular polyphosphate (polyP) granules in PAB and their subsequent detection by flow cytometry, enabling rapid data acquisition and multiparametric analysis. In this study, we provide a generic protocol for the detection, quantification, and cell sorting of PAB by flow cytometry using the dye 4’6-diamidino-2-phenylindole (DAPI). The assays were performed using Tetrasphaera elongata, which represent a large part of the microbial biomass in enhanced biological phosphate removal systems for wastewater treatment. We also included, as a negative control, a bacterial strain characterized by very low quantities of cellular polyP and carried out tests on water and lake sediment samples. We also show that the synthetic fluorochrome JC-D7, a new selective fluorescent dye used for the specific labeling of endogenous polyP in living cells, is promising for achieving these purposes, particularly in complex environmental samples.
Organic vapors from wood, straw, cow dung, and coal burning using Vocus PTR-TOF
Authors: Wang Tiantian , Zhang Jun , Lamkaddam Houssni , Li Kun , Cheung Ka Yuen , Kattner Lisa , Gammelsæter Erlend , Bauer Michael , Decker Zachary C. J. , Bhattu Deepika , Huang Rujin , Modini Rob L. , Slowik Jay G. , El Haddad Imad , Prevot Andre S. H. , Bell David M.
Published: May 2024

Abstract. Solid fuel (SF) combustions, including coal and biomass, are important sources of pollutants in the particle and gas phase and therefore have significant implications for air quality, climate, and human health. In this study, we systematically examined real-time gas-phase emissions using the Vocus proton-transfer-reaction time-of-flight mass spectrometer, from a variety of solid fuels, including beech logs, spruce and pine logs, spruce and pine branches and needles, straw, cow dung, and coal. The average emission factors (EFs) for organic gases ranged from 6.7 to 74.2 g kg-1, depending on the combustion phases and fuel types. Despite slight differences in modified combustion efficiency (MCE) for some experiments, increasing EFs for primary organic gases were observed with lower MCE. The CxHyOz family is the most abundant group, but a greater contribution of nitrogen-containing species and CxHy families (related to polycyclic aromatic hydrocarbons) could be found in cow dung burning and coal burning, respectively. Intermediate volatility organic compounds (IVOCs) also constituted a considerable fraction in solid-fuel combustions (from 12.6 % to 39.3 %), especially for spruce and pine branches and needles (39.3 %), and coal (31.1 %). Despite the large variability of EFs in the organic gas emissions, the relative contribution of different classes showed large similarities between the combustion phases in beech stove burning. The product from pyrolysis of coniferyl-type lignin and the extract of cedar pine needle were identified as characteristic compounds in the spruce and pine branches and needles open burning (e.g., C10H14O2, C11H14O2, C10H10O2). The characteristic product (C9H12O) from the pyrolysis of beech lignin was identified as the characteristic compound for beech log stove burning. Many series of nitrogen-containing homologues (e.g., C10H11-21NO, C12H11-21N, C11H11-23NO and C15H15-31N) and nitrogen-containing species (e.g., acetonitrile, acrylonitrile, propanenitrile, methylpentanenitrile) were specifically identified in cow dung burning emissions. Polycyclic aromatic hydrocarbons (PAHs) with 9-12 carbons were identified with significantly higher abundance from coal burning compared to emissions from other studied fuels. The composition of these characteristic organic vapors reflects the burned fuel types and can help constrain emissions of solid fuel burning in regional models.
The diel vertical migration of microbes within snowpacks driven by solar radiation and nutrients
Authors: Ono Masato , Takeuchi Nozomu
Published: May 2024

Abstract. Seasonal snowpacks are inhabited by various microbes despite their ephemeral and cold environments. Physicochemical conditions in snowpacks drastically change with day-night cycles; however, their effect on the microbial community is largely unknown. This study describes the diel vertical migration (DVM) of microbes within a snowpack in an alpine forest in northern Japan. Microscopy revealed the presence of snow algae, microinvertebrates, and fungi in the snowpack. Periodic sampling across snow depths revealed that the vertical distribution of microbes changed over time. Motile cells of snow algae and microinvertebrates were distributed near the surface at night but migrated to a depth of 10–20 cm during the day. Other microbes, including algal spores and fungi, remained on the surface layer throughout the day. The vertical migration of microbes was synchronized with the intensity of solar radiation, suggesting that the microbes moved downward to avoid intense solar radiation on the snow surface. Soluble nutrients (PO43-, NH4+, and K+) were always the highest at the snow surface, suggesting that surface snow provides a favorable environment for microbial growth. These results indicate that motile microbes migrate diurnally within the snowpack to remain under the best conditions for their growth in terms of the intensity of solar radiation and nutrients. Snow core sampling from the surface to bottom revealed that microbes were mostly present above a depth of 30 cm in the snowpack. Therefore, the upper snow layer above this depth, referred to as the Microbial Active Snow Surface (MASS) layer, is important for the life cycles of microbes and biogeochemical cycles within snowpacks.
Optimizing Iodide-Adduct CIMS Quantitative Method for Toluene Oxidation Intermediates: Experimental Insights into Functional Group Differences
Authors: Song Mengdi , He Shuyu , Li Xin , Liu Ying , Lou Shengrong , Lu Sihua , Zeng Limin , Zhang Yuanhang
Published: May 2024

Abstract. Iodide-Adduct time-of-flight chemical ionization mass spectrometry (I-CIMS) has been developed as a powerful tool for detecting the oxidation products of volatile organic compounds. However, the accurate quantification of species that do not have generic standards remains a challenge for I-CIMS application. To accurately quantify aromatic hydrocarbon oxidation intermediates, both quantitative and semi-quantitative methods for I-CIMS were established for intermediate species. The direct quantitative experimental results reveal a correlation between sensitivity to iodide addition and the number of polar functional groups (keto groups, hydroxyl groups, and acid groups) present in the species. Leveraging the selectivity of I-CIMS for species with diverse functional groups, this study established semi-quantitative equations for four distinct categories: monophenols, monoacids, polyphenol or diacid species, and species with multiple functional groups. The proposed classification method offers a pathway to enhance the accuracy of the semi-quantitative approach, achieving an improvement in R2 values from 0.50 to beyond 0.88. Overall, the categorized semi-quantitative method was utilized to quantify intermediates formed during the oxidation of toluene under both NO-free and NO-applied conditions, revealing the differential variations in oxidation products with varying levels of NOx concentration.
The Real Challenges for Climate and Weather Modelling on its Way to Sustained Exascale Performance: A Case Study using ICON (v2.6.6)
Authors: Adamidis Panagiotis , Pfister Erik , Bockelmann Hendryk , Zobel Dominik , Beismann Jens-Olaf , Jacob Marek
Published: May 2024

Abstract. The weather and climate model ICON (ICOsahedral Nonhydrostatic) is being used in high resolution climate simulations, in order to resolve small-scale physical processes. The envisaged performance for this task is 1 simulated year per day for a coupled atmosphere-ocean setup at global 1.2 km resolution. The necessary computing power for such simulations can only be found on exascale supercomputing systems. The main question we try to answer in this article is where to ﬁnd sustained exascale performance, i. e. which hardware (processor type) is best suited for the weather and climate model ICON and consequently how this performance can be exploited by the model, i. e. what changes are required in ICON’s software design so as to utilize exascale platforms efﬁciently. To this end, we present an overview of the available hardware technologies and a quantitative analysis of the key performance indicators of the ICON model on several architectures. It becomes clear that domain decomposition-based parallelization has reached the scaling limits, leading us to conclude that the performance of a single node is crucial to achieve both better performance and better energy efﬁciency. Furthermore, based on the computational intensity of the examined kernels of the model it is shown that architectures with higher memory throughput are better suited than those with high computational peak performance. From a software engineering perspective, a redesign of ICON from a monolithic to a modular approach is required to address the complexity caused by hardware heterogeneity and new programming models to make ICON suitable for running on such machines.
Evaluating the potential of wake steering co-design for wind farm layout optimization through a tailored genetic algorithm
Authors: Baricchio Matteo , Gebraad Pieter M. O. , van Wingerden Jan-Willem
Published: May 2024

Abstract. Wake steering represents a viable solution to mitigate the wake effect within a wind farm. New research that consider the effect of the control strategy within the layout optimization are emerging, adopting a co-design approach. This study estimates the potential of this technique within the layout optimization for a wide range of realistic conditions. To capture the benefits of such method, a genetic algorithm tailored to the layout optimization problem has been developed in this work, hence appointed as layout-optimization genetic algorithm (LO-GA). The crossover phase is designed to recognize and exploit the differences and the similarities between parent layouts whereas the randomness of the mutation is limited to improve the exploration of the design space. New relations have been introduced to calculate the geometric yaw angles based on the reciprocal positions between the turbines. For a base case of 16 turbines located at Hollandse Kust Noord site, a gain in the annual energy production between 0.3 % and 0.4 % is obtained when the co-design approach is adopted. This increases up to 0.6 % for larger farms, saturating after 25 turbines. The benefit of the co-design decreases if the power density of the wind farm is lower than 15 Wm-2 or if the wind resource is highly unidirectional. On the other hand, in case wake steering is not applied during the operation of the farm, a decrease in the AEP up to 0.6 % is registered for a layout optimized with the co-design method. To prevent the risk related to future decisions on the control strategy, a multi-objective co-design approach is proposed. This is based on the simultaneous optimization of the layout for a scenario in which wake steering is applied versus a case where wake steering is not adopted during the operation of the farm. We have concluded that the solutions obtained with this method ensure an AEP gain higher than 0.3 % for a 16-turbines farm while limiting the loss below 0.1 % in case wake steering is not applied.
ОСОБЛИВОСТІ ПРОЦЕДУРИ ВИКОНАННЯ РІШЕНЬ ЄСПЛ ЩОДО СПРАВЕДЛИВОЇ САТИСФАКЦІЇ
Authors: Белікова Аліна Олегівна
Published: May 2024

У статті досліджено національне законодавство України та міжнародно-правових актів з виконання остаточного рішення Європейського суду з прав людини. Визначено особливості виконавчої процедури щодо справедливої сатисфакції. Розкрито принципи остаточності та неоскаржуваності – основних ознак рішень європейської судової інституції. Акцентовано на тому, що для запровадження процесу виконання рішень ЄСПЛ необхідна наявність остаточного рішення Суду, яке має процесуальний статус виконавчого документа та звернення його до виконання щодо виплати справедливої сатисфакції. Проаналізовано законодавчі норми, що регулюють питання виконавчого провадження при виконанні рішень ЄСПЛ. Наведено приклади рішень Європейського суду з прав людини, Конституційного Суду України та міжнародної практики з виконання рішень Євросуду. Окреслено стадійність виконавчої процедури, яка полягає в: 1)підготовці до виконання остаточного рішення ЄСПЛ; 2) виконанні його резолютивної частини щодо виплати відшкодування (справедливої сатисфакції); 3) завершенні фактичного виконання цього рішення органами державної виконавчої служби. Звернено увагу на стадію виконання резолютивної частини рішення, яка є центровою в усьому виконавчому процесі, виключно на якій виокремлюється особливість виконавчого провадження при виконанні рішень ЄСПЛ у справах проти України. Зроблено висновок, що характерною рисою виконавчої процедури рішень ЄСПЛ є особливий порядок їх виконання, а також від належного дотримання стадійності цього процесу залежить своєчасна та повна виплата стягувачу справедливої сатисфакції.
ДОГОВІР ТАЙМШЕРУ: ПРИНЦИПИ ФУНКЦІОНУВАННЯ ТА ВИКЛИКИ
Authors: Федорченко Наталія Володимирівна , Федорченко Володимир Кирилович
Published: May 2024

У статті досліджується поняття договору таймшеру, наголошується на його міждисциплінарній природі, що містить економічні, туристичні, маркетингові та правові аспекти. Автори мають на меті проаналізувати відповідність практики таймшеру потребам і перспективам розвитку України, розглядаючи її як важливий елемент туристичної інфраструктури провідних країн світу. У дослідженні використовується поєднання міждисциплінарних підходів, спираючись на дослідження туризму, правові, соціологічні та економічні науки, щоб концептуалізувати багатогранне явище таймшеру. Використовуються історичний підхід для з’ясування динаміки розвитку таймшеру. Таймшер, як визначено в Українській енциклопедії туризму, належить до моделі спільного володіння нерухомістю для відпочинку, де кілька покупців володіють інтервалами використання, як правило, з кроком в один тиждень, у межах однієї власності. У статті класифікуються таймшери на основі сезонного використання. Дослідження використовує роботи американських учених із вивчення туризму завдяки передовій теорії та практиці таймшерів у США. Стаття також підкреслює переваги таймшеру, включно з відпусткою на професійно керованих курортах з високоякісними зручностями, що задовольняє очікування споживачів щодо якісного дозвілля. Важливим елементом економічного відновлення України після перемоги має стати туризм, оскільки Україна стане особливо привабливим напрямком для мандрівників завдяки героїзму українців. У статті підкреслюється важливість інфраструктури, як матеріальної, так й інституційної, для підтримки та розвитку таких туристичних практик, як таймшер в Україні. Дослідження має на меті зробити внесок у міждисциплінарне розуміння таймшеру в галузі досліджень туризму, наголошуючи на його практичних наслідках і актуальності для розвитку українського туризму.
Cupping and myotomy of the tail muscles as cosmetic operations in horses in European printed sources of the XVII- XVIII centuries
Authors: Vinokhodova M. V. , Yaroshchuk A. I.
Published: May 2024

Relevance and goals. Tail amputation or surgical correction in domestic animals, especially in horses, is not accepted by society and is prohibited by law in many countries, except when performed for medicinal purposes. They are not encouraged by the rules and regulations of international sports and breeding associations, as mutilating, and have a very limited distribution. The authors of the historical sources we have taken agree that the operation of tail amputation in horses in the middle of the 17th century was already a common procedure performed quite successfully. By studying and comparing these sources, features and differences in anatomical description, surgical techniques, and postoperative care, one can come closer to understanding the development of veterinary medicine in Europe and Russia at that time.Materials and methods. A number of printed European sources of the 17th-18th centuries were analyzed, which contain descriptions of surgical procedures aimed at correcting the length and position of a horse's tail. Among the selected sources are books in English and Spanish, including books translated into Russian, published in printed form and representing guides for specialists and animal owners.Results. The sources we have studied present two main operations on the horse’s tail. These are tail amputation (caudotomy) and tail myotomy. We studied anatomical descriptions of the structure of the horse's tail, indications of the qualifications of surgeons, descriptions of surgical techniques, methods of fixing animals, postoperative care and complications.
Features of Management with Biological Waste of Patients after Radioiodotherapy in Different Countries
Authors: Kiselev K. D. , Ryzhov S. A. , Trukhin A. A. , Glotova I. V.
Published: May 2024

The analysis of existing in different countries of the world approaches to the management of liquid radioactive waste (LRW) of patients generated during radionuclide therapy with 131I is carried out. The regulated values are given, on the basis of which criteria for the discharge of LRW containing 131I into a centralized urban sewage system are established for medical organizations in a number of countries. The most common strategies for the management of patients’ LRW after radiotherapy are considered. Compliance with the discharge criteria may be achieved by delaying radioactive effluents for decay in specially designed delay tanks or by its dilution with inactive effluents of a medical organization at the discharge point. The chosen strategy should be determined by the parameters characterizing the discharges of a particular organization, so as not to affect the capacity of the department and, as a result, the availability of the radiotherapy procedure to patients in the country. Defining a case-by-case treatment strategy or using the two strategies considered in combination with each other may be a more effective practice for treating patients with LRW. The latter may be relevant for medical organizations in Russia, where the discharge criteria is conservative, and at the legal level it is prohibited to use another strategy for handling LRW, except for storage for decay.
Microwave Methods and Technologies for Monitoring Electrical Activity of the Skin
Authors: Skuridin A. A. , Yelizarov A. A. , Zakirova E. A. , Nazarov I. V. , Kasatkin A. D.
Published: May 2024

The paper presents the analysis of the existing solutions for measuring the electrical activity of the skin using traditional methods, which include the use of direct current sensors, and also proposes new promising solutions related to the use of sensing elements based on slow wave systems. The questions of practical realization of electrodes, in particular materials and topologies providing mechanical strength and ergonomics of elements of wearable devices are considered. It is shown that the use of microwave sensors allows to increase the sensitivity of the device in comparison with the existing analogs on direct current, and also possess the desired mechanical properties, allowing them to be resistant to deformations.
Research on the Interpretation of Chinese Grotto Art Connotation and Digital Protection of Artificial Intelligence Based on National Self-confidence
Authors: Xiaoshu Li
Published: May 2024

Chinese Buddhist grottoes are the testimony of history and the crystallization of human technology and culture as well as the physical remains of human creative activities. The neutral shape of Buddha statues reflects the aesthetic pursuit of “neutralization” in traditional Chinese culture. The solemnity and gentleness of the Buddha statues are expressed through external modelling technique and line carvings, which embodies the characteristics of “conveying the spirit with form” in China culture. This paper analyzes China Grottoes’ art from the aspects of “meaning”, “god is outside the form”, “expressing the spirit with the form”, phonology, “charm” and “expressing the spirit with the lines” through literature review, and then analyzes the awareness of digital protection, technical methods and key projects at domestic and overseas. In recent years, the digital protection of cultural relics has been continuously improved under the multi-disciplinary application of artificial intelligence, which not only enhances the influence of cultural communication, but also makes cultural relics more powerful and dynamic. Through the restoration of Buddha statues by digital simulation and the planning of restoration projects through the precise measurement given by this digital models can realize the complete digital filing and permanent preservation of important cultural relics and improve the protection and utilization of digital cultural heritage.
Big Data Perspectives on the Degree and Geographic Differences in the Synergistic Growth of the Digital as well as Green Economy
Authors: Siwei Yue
Published: May 2024

The interactive mechanism between the digital as well as green economy is examined, and an index system for evaluating their synergistic development is built, all based on the features of the big data era. Based on this, a mathematical model is created to examine the degree and geographic distribution of the synergistic growth of the digital as well as green economy in 30 China’s provinces. The present state of China's synergistic development of the digital as well as green economies is explained, and a big data perspective is used to suggest a way forward for raising the level of synergistic development of the two economies. This approach offers an empirical foundation for policy formulation.
Moderating Role of Environment on the Relationship of Competitive Strategy and Firm Performance: Based on Machine Learning and Text Analysis
Authors: Bingyun Zheng
Published: May 2024

The impact of competitive strategy on firm performance has been a fundamental and important issue. However, there is a little research on moderating role of environment on the relationship, especially moderating role of different dimensions of environment. This study employs the technology of machine learning and text analysis to obtain the measure value of competitive strategy and environment. On this basis, the research empirically investigates the moderating effect of environmental dynamism, complexity and competitiveness on the relationship between competitive strategy and organizational performance. The results show that both types of competitive strategy can improve corporate performance, environmental characteristics have a significant impact on the causal relationship mentioned above, and there are differences in the moderating effects of different environmental dimensions. Some conclusions are inconsistent with the research of foreign scholars. The differences in conclusions reflect the impact of China's transitional economic environment on corporate competitive strategy decisions and result.
Research on the Influence Mechanism of Artificial Intelligence Capability on Ambidextrous Innovation
Authors: Weiwei Dong
Published: May 2024

With the continuous development and widespread adoption of artificial intelligence (AI) technology, enterprises have realized the importance of possessing artificial intelligence capabilities to enhance organizational performance. However, there is still a relative lack of empirical research on how to build AI capabilities, and how AI capabilities impact organizational innovation performance. Based on the resource-based theory, this study constructs a conceptual model of “AI Capabilities - Organizational Response (Organizational Learning and Organizational Agility) - Ambidextrous Innovation”, exploring the direct impact of AI capabilities on ambidextrous innovation, and the mediating effects of organizational learning and organizational agility, also the moderating role of digital strategy in this linkage. With data from 253 survey questionnaires of Chinese enterprises, the results indicate that: first, AI capabilities have a significantly positive impact on organizational ambidextrous innovation;  second, organizations with high levels of organizational learning ability and agility can better leverage AI capabilities to promote the development of ambidextrous innovation;  Thirdly, digital strategy has played an active role in regulating the influence path of two-way innovation within the organization and provided sufficient boundary conditions; fourth, The data capability, technological capability, and fundamental resource capability of AI capabilities have differentiating effects on exploratory and exploitative innovations. The findings of this research hold significant theoretical and managerial value for understanding the driving mechanisms of organizational innovation performance in the era of AI.
Research on the Path of Aiding Integrating Excellent Traditional Chinese Culture into Biochemistry Teaching Curriculum with the Artificial Intelligence Technologies
Authors: Jiachen Liu
Published: May 2024

Traditional culture has profound connotation and great inclusiveness. Incorporating traditional culture into biochemistry education not only boosts students' enthusiasm and attentiveness but also expands their analytical viewpoints. With the help of artificial intelligence technology, interweaving scientific and cultural wisdom, we can better promote our ancient traditions and instill a deep sense of national pride in our students. The article delves into the backdrop of merging Chinese exemplary traditional culture with the biochemistry curriculum. It further investigates the challenges of intensifying the instruction of this esteemed culture and the considerations when utilizing Chinese traditional values to enhance biochemistry education. On this basis, the article highlights the practical rationale for weaving Chinese exemplary traditional culture into the biochemistry curriculum, and briefly discusses the possible ways to improve the teaching effect of the course with the help of artificial intelligence technology, in order to promote the profound synergy between the three and thus promote the development of the biochemistry education framework.
Review Artificial Intelligence Applications in Renewable Energy Systems Integration
Authors: Faisal Ghazi Bishaw
Published: May 2024

The transition to renewable energy (RE) sources is critical for addressing global energy demands and environmental concerns. This review paper focuses on the pivotal role of Machine Learning (ML) and Deep Learning (DL) in optimizing and predicting the performance of RE systems, particularly solar and wind power. We explore various applications of these advanced technologies in forecasting energy demand and consumption, predicting the output power of renewable systems, and optimizing the operation and maintenance of these systems. The paper also delves into the significance of Explainable AI (XAI) in enhancing the transparency and understandability of AI models in energy applications. Our comprehensive analysis reveals that while ML and DL offer transformative potential in the RE sector, challenges such as data complexity, system integration, and model interpretability remain. Concluding, this work aims to provide a foundation for future research and development in this rapidly evolving field, asserting that the continued advancement and integration of AI technologies in RE systems is essential for achieving a sustainable and efficient energy future.
Optimized Deep Neural Network Based Load Balancing in Fog Computing with Robust Dynamic Scheduling Algorithm
Authors: Deepthi Kothapeta
Published: May 2024

The load balancing (LB) in FOG architecture is a formidable task with the availability of minimal resources. This field encounters enormous studies that portray the routing of task between the fog physical devices and cloud nodes. The presence of different types of heterogeneity devices are at helm of difficult scheduling process. To allocate LB based on the available resource we propose a novel Deep Neural Network (DNN) based Tuna swarm strategy based Bacterial Foraging optimization algorithm (TBFO) which employs three stages such as monitoring the fog resources, Classification based on deep learning technique and dynamic scheduler that are optimized. With the dynamic scheduling algorithm this work aims to provide LB in real time application. The first stage is to monitor the resources of server and amassed in fog resource table. The next step is to identify the unerring server and is effectuated with the proposed DNN technique. The last stage is to allocate the process to the selected server with the TBFO. It certifies the robust continuous services in the fog LB. Simulations are conducted and compared the outcomes with the existing works and ensures effective load balancing, make span and resource utilization.
Investigation into Factors Inflencing Employee Deviant Behaviour in Workplace.
Authors: D. Rama Lingeswara Sarma
Published: May 2024

It is an ordinary wonder these days, in different organizations, to see that the employees abuse the essential authoritative rules, and participate in a behavior, which ends up being hostile to the organization. This sort of behavior, which is a deviation from the rules set some place by the organization is called "Deviational workplace behaviors.” This study investigates factors influencing employee deviant behavior in the workplace. The objectives were to determine these factors and rank them based on their impact on deviant behavior. The research employed an exploratory and descriptive approach. Primary data was collected from 100 professors working in deemed universities using a structured questionnaire with 40 questions on a 5-point Likert scale. Secondary data was gathered from various journals. Reliability was tested using Cronbach’s alpha, and factor analysis was conducted using SPSS software to determine the relative strength of each factor.
Image Recognition System for Mechanical Parts Based on SSD and YOLOv5
Authors: Song Chen
Published: May 2024

With the development of industrial automation, the importance of mechanical parts in the production process is becoming increasingly important. In recent years, deep learning technology has made breakthrough progress in fields such as image recognition and object detection. Deep learning models can learn a large amount of data through multiple epochs, automatically extract features from it, and achieve image recognition and object detection. This provides potent technical assistance for the design of mechanical component recognition systems. In industrial production, there are a wide variety of mechanical parts with complex shapes, and the differences between different models are often very small, making it difficult to identify them manually. Therefore, it is necessary to develop a system that can automatically identify mechanical parts to improve production efficiency and quality. This article takes mechanical parts as the research object and studies the recognition technology of mechanical parts based on deep learning and image recognition. The main content of the article includes the following aspects. Research was conducted on image quality enhancement methods for images with different characteristics, and different image preprocessing methods were applied to different images. YOLOv5 and SSD (Single Shot MultiBox Detector) algorithms are used to perform deep learning and recognition detection on the processed images, respectively. By comprehensively comparing the differences between the two algorithms, YOLOv5 was selected as the focus of this design, and based on this, deep training was conducted, and the code was imported into the embedded system.
A Systematic Review of Dust Suppression Methods by Experiment Based on Intelligent Technology in the Coal Mines
Authors: Shanshan Tang
Published: May 2024

The mining and its transportation processes generate a substantial quantity of dust, which harms miners' health. The extended inhalation of dust particles could result in pneumoconiosis. There are numerous studies on coal mine dust removal, but only a handful of articles critically comment on it. A systematic coal mine dedusting literature review has been conducted to attempt a comprehensive and reproducible analysis. This article reviews dust suppression methods by experiment in coal mines from three aspects: chemical modification of dust removers, structural improvement of dust removers, and other factors. The review showed that independent experimental research suits dust remover's structural improvement and chemical modification. Compared to non-phytochemical modifications, phytochemical modifications are more efficient and environmentally friendly. The development of dust remover structures concentrates primarily on the nozzle structure, nozzle diameter, the number of holes, and the distance, with the nozzle diameter being of particular significance. Sometimes, tweaking the nozzle structure does not yield significant efficiency improvements. However, supersonic nozzles demonstrate high efficiency and are likely to be a key area of future research. Experiments also investigated other factors' effects on coal mines' dust removal efficacy, including ventilation system, metamorphic degree of coal, and particle diameter. This review provides the latest dust removal technology information for coal mines. Intelligent technology provides the basis for experimental research on dust removal in coal mines. The future trends of experimental research in the coal mine dust control field include intelligent and automated dust control systems, comprehensive control of multiple pollutants, application of new materials and technologies, and interdisciplinary collaboration and cross-disciplinary research.
Research on the Construction of Rural Living Circles in Hilly and Gully Areas of the Loess Plateau: A Case Study of Guanghe County
Authors: Xiaoyuan Dong
Published: May 2024

Ue and practical significance for achieving equitable urban and rural infrastructure within a region and promoting integrated urban-rural development. Employing landscape ecology theory and GIS spatial analysis techniques, this paper comprehensively analyzes the construction of rural living circles in Guanghe County, taking into account the convergence characteristics of residents' daily life trajectories and biological migration movements. The results indicate: (1) Within the "resistance surface" of Guanghe County, easily accessible areas and generally accessible areas account for 69.92% of the total area, while relatively difficult-to-access and hard-to-access areas constitute 30.08% of the total area, with weaker development potential in these regions. (2) Based on the results of the MCR model, a methodological pathway for identifying rural living circles is established. This includes delineating a "four-level, three-category" system for rural living circles in Guanghe County, and proposing a "mandatory allocation + selective allocation" modular customization approach to precisely allocate public service facilities. (3) Building upon the concept of travel "resistance surfaces," the study introduces transportation resistance coefficients to delineate different scales of living circles between river valley plain areas and mountainous areas. The research findings provide a basis for the construction of rural living circles in hilly and gully areas of the Loess Plateau.
200 éves a rendőr szavunk
Authors: Farkas Johanna , Sallai János
Published: May 2024

2023-ban ünnepelhettük volna „rendőr” szavunk első, Márton József háromnyelvű szótárában való megjelenését. Ennek a hiányosságnak a megszüntetése céljából készült a publikáció, amely a „police”, „polizei” nemzetközi közéletben elterjedt szavak magyar megfelelőjének a jelentését, első előfordulásait és a szakmai közéletben való elterjedését jeleníti meg. A rövid tanulmányban azokat a rendészettörténeti forrásokat dolgoztuk fel, amelyekben elsőként magyarul jelent meg a „rendőr” szavunk, illetve a szó tartalma.
ARS ET SCIENTIA EN LOS AUTORES GEOPÓNICOS LATINOS: LAS LABORES AGRÍCOLAS Y EL CALENDARIO
Authors: González Marrero José Antonio
Published: May 2024

A través de la relación que cada sociedad establece con su religiosidad, mi intención en este trabajo es tratar de explicar que las técnicas de cultivo que se recogen en la tratadística romana estuvieron siempre determinadas por los calendarios agrícolas, cuya base eran los saberes astronómicos transmitidos de generación en generación, patentes ya en los Trabajos y días de Hesíodo en la Grecia del siglo VII. Estos almanaques se hallan recogidos, de una manera u otra, en toda la literatura geopónica romana, y están descritos y explicados, de un modo específico, desde que Varrón escribe en el siglo I a. C., aunque no será hasta después del siglo IV, con el éxito que obtiene la obra de Paladio, cuando adquieren un especial tratamiento que llega a la actualidad.
EL SILENCIO EN HERÓDOTO Y TUCÍDIDES
Authors: Pizarro Herrmann Álvaro
Published: May 2024

Este artículo trata acerca del silencio en Heródoto y Tucídides. Pretende, a través de los relatos de estos historiadores, categorizar distintos contextos en los que el silencio aparece. Los temas que aborda son: la libertad de expresión, el silencio como estrategia política, el tirano impone silencio, el silencio y la guerra, y el silencio por miedo. Mediante el análisis de un léxico relativo al silencio y sus apariciones en los textos, se concluye que el silencio puede ser entendido como una herramienta estratégica tanto en un orden político como personal.
Amateur Bodybuilders and Their Perceptions of Supplements: A Qualitative Analysis
Authors: King Kevin M. , Woltring Mitchell T. , Jubenville Colby B.
Published: May 2024

Introduction: Bodybuilding is a sport with an emphasis on aesthetic appearance, and therefore performance in the sport is unique in its emphasis on body image perceptions, and it centers on creating a perfectly proportioned figure of muscle.1-2 The present study sought to examine supplement perceptions, knowledge, and attitudes within the community of male amateur bodybuilders.Methods: Interviews were conducted with thirty (N=30) amateur male bodybuilders ranging in age from 20 to 34 years old (M = 22.93, SD = 3.42) who had been engaged in the sport between 2 and 15 years (M = 3.31, SD = 2.82).Results: Three major themes emerged from the interviews. Amateur male bodybuilders use supplements: (1) to help achieve an ideal body; (2) to increase strength and enhance performance; and (3) because of a belief that the positive benefits outweigh the possible negative consequences. Several sub-themes were present in each major theme.Conclusions: In order to reach a tier of competition they deem satisfactory, and to reach the image they desire, amateur male bodybuilders believe supplementation is a requirement.
Changes in Body Composition and Activity Levels of a Division-1 Football Team During COVID-19
Authors: C. Cholewinski Mitchell , Anna Buzzard Julie , Gordon Quiara , N. Ross Ryan , K. Funderburk LesLee , Galucci Andrew
Published: May 2024

Introduction: The effect that training cessation due to the COVID-19 pandemic had on a Division-1 football team’s activity levels and body composition.Methods: Dual-energy X-ray absorptiometry (DXA) were taken in February and upon return to campus during the athletic department’s normal medical screenings. To measure the athletes’ activity during the suspended activity period the validated Modifiable Activity Questionnaire (MAQ) was given to the athletes to confidentially complete. Along with the MAQ were two rating of perceived exertion (RPE) scales that corresponded to cardiovascular work or strength work.Results: Strength/Weight training was the most frequent activity recorded during this time (n = 56) with an average of 16.14 sessions (SD = 6.92) per-month. Significant fat mass increased and lean mass losses were seen in both linemen/non-linemen. Frequency of training was a significant predictor of lean mass loss in non-linemen but not linemen.Conclusions: During the COVID-19 suspension of activities the athletes saw significant decreases in fat free mass with increases in fat mass and body fat percentage. Although, strength/weight training was the most frequently reported activity undertaken during this time it was still not sufficient to maintain the fat free mass of the athletes.
Exercise Program for Faculty and Staff: Building Collegiality Through Convenience
Authors: Samis-Smith Phrosini Samis-Smith , Nola Schmidt
Published: May 2024

Stress in university faculty and staff exists is well-documented and opportunities for reducing stress are needed. Exercise is a known strategy for reducing stress, therefore a cost-effective afterwork faculty/staff exercise program for improving wellness was implemented. Offering a faculty/staff exercise program that is convenient, inexpensive, preplanned, and fun is the key to motivating participation.
Fraud And Financial Performance Of Banks In Nigeria
Authors: F. I Akande, , A. J. Egwakhe, , R. D Benjamin, , E. J Umukoro,
Published: May 2024

Incidence of fraud is a global problem affecting the society across all works of life and no person or organisation is immured. This study investigated fraud and financial performance in Nigerian banks for the period 2002 to 2016. Data analysed were sourced from Central Bank of Nigeria (CBN) statistical Bulletin and NDIC annual reports. The result identified the amount involved in fraud (0.3354) to have affected the banking sector performance. The study concluded that fraud is harmful and recommended that there is need for the establishment of adequate internal control system, capacity building and legal framework for fraud prevention.
The Establishment Process of Startup Users in Palembang City, Indonesia
Authors: Kurniawan Andri , Joko Pitoyo Agus , Monanisa Monanisa , Aryaningrum Kiki , Sukmaniar Sukmaniar , Saputra Wahyu
Published: May 2024

This research aimed to find out the establishment process of startup users in Palembang City, Indonesia, especially the influencing factors. The establishment of startup users consisted of nine aspects, including competent skills, inspired by friends who started selling online, attending business workshops/seminars, inspired by YouTube content, inspired by personal hobbies, informed by friends, supported by family, connected with distributors, and experienced in the business. The research employed a qualitative approach by collecting data through observation, interviews, and document analysis. The research results indicated that the success of startup users in Palembang City was influenced by skill, experience, social support, and adaptation ability to market and technological changes. These findings provided valuable insights for developing the local startup ecosystem and emphasizing the essence of education, training, and social networks in building individuals to become entrepreneurs in the digital era.