bluuebunny/crossref_metadata_2025 huggingface dataset:
Quantification of Analgesic and Anti-inflammatory Lipid Mediators in Long-Term Cryopreserved and Freeze-Dried Preserved Human Amniotic Membrane
Authors: Vrkoslav Vladimír , Smeringaiova Ingrida , Smorodinova Natalia , Svobodova Alzbeta , Strnad Stepan , Jackson Catherine Joan , Burkert Jan , Jirsova Katerina
Published: May 2023

To compare concentrations of endogenous N-acylethanolamines (NAEs) lipid mediators pal-mitoylethanolamide (PEA), oleoylethanolamide (OEA), and anandamide (AEA) in fresh, decon-taminated, cryopreserved and freeze-dried amniotic membrane (AM) allografts. Thereby deter-mining whether AM's analgesic and anti-inflammatory efficiency related to NAEs persists during storage. The concentrations of NAEs were measured using ultra-high-performance liquid chro-matography-tandem mass spectrometry. Indirect fluorescent immunohistochemistry was used to detect the PEA PPARα receptor. The concentrations of PEA, OEA, and AEA were significantly higher after decontamination. A significant decrease was found in cryopreserved AM compared to decontaminated tissue for PEA but not for OEA and AEA. However, significantly higher val-ues for all NAEs were detected in cryopreserved samples compared to fresh tissue before decon-tamination. The freeze-dried AM had similar values to decontaminated AM with no statistically significant difference. The nuclear staining of PPARα receptor was clearly visible in all specimens. The stability of NAEs in AM after cryopreservation was demonstrated under tissue bank storage conditions. However, a significant decrease, but still higher concentration of PEA compared to fresh not decontaminated tissue was found in cryopreserved, but not frieze-dried AM. Results in-dicate that NAEs persist during storage in levels sufficient for the analgesic and anti-inflammatory effects of AM allografts.
Spatial Ecology of the Population of Reef Manta Rays (Mobula Alfredi) In New Caledonia Using Satellite Telemetry
1 - Horizontal Behaviour
Authors: Lassauce Hugo , Chateau Olivier , Wantiez Laurent
Published: May 2023

The reef manta ray (Mobula alfredi) is a highly mobile and plankton-feeding species, classified vulnerable to extinction on the IUCN Red List for Threatened Species. Knowledge on their spatial ecology and the extent of their dispersal remain incomplete, especially within island-fragmented habitats as found in New Caledonia. Satellite telemetry was used to investigate the horizontal movement ecology of reef manta rays in New Caledonia. A total of 21 manta rays were tagged with pop-up satellite archival transmitting tags (21 Fastloc and 2 MiniPAT) that remained deployed for a duration ranging from 3 to 180 days (mean ± SE = 76.7 ± 50.3). Rays presented a strong site fidelity and an important affinity for coastal waters. Long-distance migrations (> 300 km) were also observed, mainly through coastal and shallow water paths. Horizontal movements were compared to a home range area and classified into four distinct patterns: Fidelity, Excursion, Fidelity + Relocation and Relocation. The most dominant pattern was Fidelity where manta rays remained within their home range for the whole duration of the tag deployment. Our findings may assist the design of more appropriate management strategies for the species in New Caledonia and other regions worldwide.
Tubular Structure Segmentation via Multi-Scale Reverse Attention Sparse Convolution
Authors: Zeng Xueqiang , Guo Yingwei , Zaman Asim , Hassan Haseeb , Lu Jiaxi , Xu Jiaxuan , Miao Xiaoqiang , Yang Huihui , Cao Anbo , Yang Yingjian , Chen Rongchang , Kang Yan
Published: May 2023

Cerebrovascular and airway structures are tubular structures used for transporting blood and gases, respectively, providing essential support for the normal activities of the human body. Accurately segmenting these tubular structures is the basis of morphology research and patho-logical detection. Nevertheless, accurately segmenting these structures from images presents great challenges due to their complex morphological and topological characteristics. To address this challenge, this paper proposes a framework UARAI based on the U-Net multi-scale reverse at-tention network and sparse convolution network. The framework utilizes a multi-scale structure to effectively extract the global and deep detail features of vessels and airways. Further, it enhances the extraction ability of fine-edge features by a joint reverse attention module. In addition, the sparse convolution structure is introduced to improve the features' expression ability without increasing the model's complexity. Finally, the proposed training sample cropping strategy re-duces the influence of block boundaries on the accuracy of tubular structure segmentation. The experimental findings demonstrate that the UARAI-based metrics, namely Dice and IoU, achieve impressive scores of 90.31% and 82.33% for cerebrovascular segmentation and 93.34% and 87.51% for airway segmentation, respectively. Compared to commonly employed segmentation tech-niques, the proposed method exhibits remarkable accuracy and robustness in delineating tubular structures such as cerebrovascular and airway. These results hold significant promise in facilitating medical image analysis and clinical diagnosis, offering invaluable support to healthcare profes-sionals.
Assessment of Urban Vulnerability to Climate Hazards of Selected Indian Cities
Authors: Magotra Rohit , Tyagi Ajit , Sharma Yashi
Published: May 2023

There has been an increase in the inefficiencies of urban infrastructure services in Indian cities as a result of rapid and unplanned urbanization (UNDP, 2017). Indian cities have grown multidimensional as a result of massive industrializa-tion and technological spread backed by globalization impacting the early 2000. It has transformed the city fabric and the associated challenges. Therefore, an Urban Climate Vulnerability Assessment (UCVA) is needed to identify, target and recognize climate vulnerable urban cities, sectors, or populations. The UCVA framework consists of seven broad thematic indicators — physical, hazard, social, demographic, financial provisioning, infrastructure and admin-istration vulnerabilities, and their sub indicators to represent the climate vul-nerability of Indian cities. This assessment is for seven Indian cities namely Delhi, Mumbai, Chennai, Bengaluru, Srinagar, Shillong, and Ahmedabad which were selected based on their geographical location, population, ecosystem types and hazards/ hazard trends to understand and assess the respective vul-nerabilities. The Assessment is done through a comprehensive approach using a robust and predictive qualitative framework. It helps in determining respec-tive risks and in improving community resilience to the climate hazards by in-tegrated planning and improved preparedness. UCVA can support as a deci-sion support mechanism for devising suitable mitigation and adaptation strategies for building urban climate resilience.
Coffee-Associated Endophytes: Plant Growth Promotion and Crop Protection
Authors: Asad Suhail , Priyashantha A.K Hasith , Tibpromma Saowaluck , Luo Yinling , Zhang Jianqiang , Fan Zhuqin , Zhao Likun , Shen Ke , Niu Chen , Lu Li , Promputtha Itthayakorn , Karunarathna Samantha C.
Published: May 2023

Endophytic microbes are a ubiquitous group of plant-associated communities that colonize the intercellular or intracellular host tissues while giving numerous beneficial effects to the plants. All the plant species are thought to be associated with endophytes, majorly constituted with bacteria and fungi. During the last two decades, there has been a considerable movement toward the study of endophytes associated with coffee plants. In this review, the main consideration is given to address the coffee-associated endophytic bacteria and fungi, particularly their action on plant growth promotion and the biocontrol of pests. In addition, we sought to identify and analyze the gaps in available research. Additionally, the potential of endophytes to improve the quality of coffee seeds is briefly discussed. Even though there are limited studies on the subject, it has been well recognized the potentiality of coffee endophytes in plant growth promotion through enhancing nitrogen fixation, availability of minerals, nutrient absorption, secretion of phytohormones, and other bioactive metabolites. Further, the antagonistic effect against various coffee pathogenic bacteria, fungi, nematodes, and also insect pests lead to the protection of the crop. Furthermore, it is recognized that endophytes enhance the sensory characteristics of coffee as a new field of study.
Clinical Applications of Endobronchial Ultrasound: Challenges and Opportunities
Authors: Biondini Davide , Tinè Mariaenrica , Semenzato Umberto , Daverio Matteo , Scalvenzi Francesca , Bazzan Erica , Turato Graziella , Damin Marco , Spagnolo Paolo
Published: May 2023

Endobronchial Ultrasound has been widely used in the lymph node staging of lung tumors and the diagnosis of mediastinal diseases. In the last decades this procedure has evolved in several technical aspects, with new tools available to optimize the tissue sampling and to increase the diagnostic yield, like elastography, different types of needles and, most recently, miniforceps and cryobiopsy. Then, also the indications for EBUS have extended beyond the thoracic boundaries to sample lesions of the liver, left adrenal gland and retroperitoneal lymph nodes via the gastroesophageal tract. In this review we will analyze the actual indication of EBUS, even the more unusual, to underline the multiple use of EBUS in clinical practise.
Evaluation of a Ground Subsidence Zone in an Urban Area Using Geophysical Methods
Authors: De Giorgi Lara , Barbolla Dora Francesca , Torre Chiara , Settembrini Stefano , Leucci Giovanni
Published: May 2023

The sinking of cavities in urban areas is a very important geological risk to which many towns in Puglia are exposed. The study, mapping, geological and speleological description, classification and cataloging of forms and types of cavities is of fundamental importance for each urban center because it is linked to past local anthropic and natural processes, unique to each site. All this could lead to an enhancement of existing underground cavities in urban areas through conservation and continuous monitoring. Unfortunately in many cases these underground cavities have been used as landfills and subsequently abandoned. One of these cavities at the end of March 2007 collapsed in the inhabited center of Gallipoli causing damage to the structures and fortunately not to human lives. In the area relating to the collapsed cavity, a series of geophysical investigations were undertaken with the use of ground penetrating radar methodology in an attempt to delimit the area of collapse and understand the possible types of interventions for restoring the area. In the same area the measures were repeated 16 years later (December 2022) due to another collapse. The results show a much more widespread danger situation.
Geochemistry and Geochronology (U-Pb and Lu-Hf) of the Soarinho Alkaline Massif (Brazil): Implications on mantle versus crustal signature of syenitic magma
Authors: Da Silva Daniel Adelino , Potratz Guilherme Loriato , Geraldes Mauro Cesar
Published: May 2023

Soarinho Alkaline Intrusion, southeastern Brazil, makes part of the Serra do Mar Igneous Province, and it is composed of alkali feldspar syenite, alkali feldspar trachyte, quartz syenite, and mon-zonite. Geochemical and geochronological analysis of the Soarinho were compared with data from its neighbors Rio Bonito and Tanguá. Zircon U-Pb Laser Ablation ages show that Soarinho is youngest than Rio Bonito and Tanguá. Ages obtained from the monzonite (60 ± 2 Ma), alkali feldspar syenite (58 ± 2 Ma), and quartz syenite (58 ± 2 Ma) are indistinguishable within error. Petrographic and geochemical data show a clear contrast among Soarinho, Rio Bonito, Tanguá, and Lu-Hf isotopic data for the three alkaline intrusions (all negative), point to some similarities in their sources. The data suggest an enriched mantle source for Soarinho; however, an older con-tinental crust contribution cannot be discarded.
Analysis of Relation Between Brainwave Activity and Reaction Time of Short-Haul Pilots Based on EEG Data
Authors: Binias Bartosz , Myszor Dariusz , Binias Sandra , Cyran Krzysztof
Published: May 2023

The purpose of the research was to examine and assess the relation between the pilot’s concentration and reaction time with specific brain activity during short-haul flights. In order to obtain this task, participants took part in 1-hour long flight sessions performed on FNPT II class flight simulator. During the flight auto–pilot was activated and subjects were instructed to give response to unexpected events that were occurring during the flight. Brainwaves of each participant were recorded with Emotiv EPOC+ Scientific Contextual EEG device. Statistical analyses of the results were presented in the article.
Soybean Calmodulin-binding Transcription Activators, GmCAMTAs, Negatively Coordinate the Circadian Regulation of Developmental Processes and Drought Stress Responses in Transgenic Arabidopsis
Authors: Baek Dongwon , Cho Hyun Min , Cha Ye Jin , Jin Byung Jun , Lee Su Hyeon , Park Mi Suk , Chun Hyun Jin , Kim Min Chul
Published: May 2023

The calmodulin-binding transcription activators (CAMTAs) mediate transcriptional regulation of development, growth, and responses to various environmental stresses in plants. To characterize the biological processes of soybean CAMTA (GmCAMTA) family members in response to abiotic stress, we identified 15 GmCAMTA genes from soybean (Glycine max L.) and investigated their roles in the abiotic stress response. The transcriptions of GmCAMTAs exhibited distinct circadian regulation patterns and were expressed differently in response to salt, drought, and cold stresses, except ABA. Interestingly, the expression levels of GmCAMTA2, GmCAMTA8, and GmCAMTA12 were higher in stem tissue than in other soybean tissues. To determine the roles of GmCAMTAs in the regulation of developmental processes and stress responses, we isolated GmCAMTA2 and GmCAMTA8 cDNAs from soybean and generated Arabidopsis overexpressing transgenic plants. The GmCAMTA2-OX and GmCAMTA8-OX plants showed hypersensitivity to drought stress. The water in the leaves of GmCAMTA2-OX and GmCAMTA8-OX plants was lost faster than that in WT plants under drought stress conditions. In addition, stress-responsive genes in the GmCAMTA2-OX and GmCAMTA8-OX plants were down-regulated under drought stress conditions. Our results suggest that GmCAMTA2 and GmCAMTA8 genes are regulated by circadian rhythms and function as negative regulators in development and drought stress responses.
Optimization of the Subway Platform’s Passenger Flow Guidance Method Using Anylogic
Authors: Yang Wenyu , Wu Huirong
Published: May 2023

This study aims to optimize the subway platform passenger flow guidance method using Anylogic simulation software. The objective of the study is to minimize overcrowding within subway carriages, enhance transportation capacity, and augment service levels by guiding passengers on the platform to board trains in a distributed manner. The study achieves a balanced flow of passengers in each carriage by taking into consideration the number of passengers in each carriage, the number of passengers at the station, and the expected number of passengers disembarking from the trains. The standard deviation of balance is used to optimize the subway platform passenger flow guidance method. We simulated Guangzhou Metro Zhujiang New Town Line 5 platform to compare different guidance methods and evaluate their effects on the uneven distribution of passengers with passenger flows ranging from 120K to 600K people per day. Our results show that guidance method 2, relative to manual guidance, improves by 38.5% under a daily passenger flow of 240K people on Zhujiang New Town Line 5. Guidance method 3 improves by 25.7% relative to guidance method 2 and by 54.4% relative to manual guidance.
Effects of Irrigation and Nitrogen Fertilizer on Soil Carbon Leaching in Cotton Field in Arid Area
Authors: Zhang Baoyue , Gao Zhijian , Zhi Jinhu , Bai Xinlu , Yang Lili , Xia Wenhao
Published: May 2023

In order to formulate a reasonable water input model for cotton fields in southern Xinjiang, scientific and rational fertilization, reduce soil carbon leaching, and improve soil carbon sequestration capacity, the undisturbed soil column leaching test was used to simulate the current field management method in the study area. Two methods of drip irrigation and flood irrigation were set up, and three irrigation and three nitrogen fertilizer levels were used to carry out the undisturbed soil column leaching test. The results showed that the amount and mode of water and nitrogen input affected the distribution and leaching loss of organic carbon and inorganic carbon in soil. When the nitrogen application rate increased from 270 kg·hm-2 to 450 kg·hm-2, the leaching loss of soluble organic carbon and soluble inorganic carbon increased significantly. When the water input increased from 6000 m3·hm-2 to 9000 m3·hm-2, the leaching loss of DOC and DIC increased significantly. The carbon leaching loss under drip irrigation was higher than that under flood irrigation. The leaching rates of DOC and DIC were the fastest under the conditions of high water ( 9000 m3·hm-2 ) and high fertilizer ( 450 kg·hm-2 ). It shows that water and nitrogen input and irrigation methods are important factors affecting soil carbon leaching. In the case of excessive water input, long-term high-frequency irrigation is the main factor affecting carbon leaching.
A Geometric Interpretation of the Multivariate Gaussian Distribution and its Entropy and Mutual Information
Authors: Jwo Dah-Jing , Cho Ta- Shun , Biswal Amita
Published: May 2023

The fundamental objective is to study the application of multivariate sets of data in Gaussian distribution. This paper examines broad measurements of structure for both Gaussian and non-Gaussian distributions, which shows that they can be described in terms of the infor-mation-theoretic between the given covariance matrix and correlated random variables (in terms of relative entropy). In order to develop the multivariate Gaussian distribution with entropy and mutual information, several significant methodologies are presented through the discussion supported by illustrations, both technically and statistically. The content obtained allows readers to better perceive concepts, comprehend techniques, and properly execute software programs for future study on the topic's science and implementations. It also helps readers grasp the themes' fundamental concepts. Involving the relative entropy and mutual information as well as the potential correlated covariance analysis based on differential equations, a wide range of information is addressed, including basic to application concerns.
Oxygen Vacancy-Rich Fe@Fe3O4 Boosting Fenton Chemistry
Authors: Zheng Rongwei , Tan Ruifan , Lv Yali , Mou Xiaoling , Qian Junqiao , Lin Ronghe , Fang Ping , Kan Weidong
Published: May 2023

Iron-based materials are widely applied in Fenton chemistry and they have promising prospects in the processing of wastewater. The composition complexity and rich chemistry of iron and/or oxides, however, hamper the precise understanding on the active sites and the working mechanism which still remain highly controversial. Herein, iron oxides of four different model systems are designed through a conventional precipitation method plus H2 reduction treatment. These systems feature Fe@Fe3O4 with abundant oxygen vacancy, Fe0 and Fe3O4 particles with interface structures, and Fe3O4-dominated nanoparticles of different sizes. These materials are applied in the decomposition of methyl orange as a model reaction to assess the Fenton chemistry. The Fe@Fe3O4 with core-shell structures exhibited significantly higher decomposition activity than the other Fe3O4-rich nanoparticles. A thin Fe3O4 layer formed by auto-oxidation of iron particles when exposing to air can boost the activity as compared with the Fe0 and Fe3O4 particles with interface structures but poor oxygen vacancy. The unique hetero-structure with the co-existence of both metallic iron and oxygen vacancy displayed excellent redox propensity which might account for the superior Fenton activity. This finding provides a new perspective to understand and design highly efficient iron-based Fenton catalysts.
Characteristics and Evolution of Structural and Functional Connectivity in a Large Catchment (Poyang Lake) during the Past 30 Years
Authors: Zeng Bingru , Li Yunliang , Yao Jing , Tan Zhiqiang
Published: May 2023

Hydrological connectivity plays a major role in solving water resource and eco-environmental problems. However, this phenomenon has not been afforded the attention it deserves. Detailed analysis of connectivity in river systems could provide considerable insight into structural and functional attributes of riverine landscapes. The current study used graph theory approach and associated connectivity indicators to explore the characteristics and evolution of river systems and hydrological connectivity in a large catchment (Poyang Lake, China). The results revealed that the structure of the river system tended to be complex during 1990-2020, characterized by a dynamic evolution of tributaries in certain northern areas. Both river density and complexity exhibited an increasing trend by up to 15%, with the change rate after 2000 approximately twice as high as that of the preceding period. Overall, human activities across the catchment are more likely to play a key role in leading to significant changes in the quantity, morphometric, and structure characteristics of the river system. Additionally, the functional connectivity analysis indicated that the index of connectivity (IC) in the downstream catchment is stronger than that of the upstream vegetation areas, suggesting a strong contribution to the runoff-sediment transport (r=0.6-0.7). This study highlights the spatial and temporal evolution of both the structural and functional connectivity in the large Poyang Lake catchment. The findings of this work will bene-fit future water resource management and applications by providing a strategy for protecting the surface hydrology and mass transport of large river basins under climate and land-use changes.
Role-Driven Clustering of Stakeholders: A Study of IoT Security Improvement
Authors: Almalki Latifah , Alnahdi Amany , Albalawi Tahani
Published: May 2023

The goal of this study is to categorize stakeholders in Internet of Things (IoT) security based on their roles in order to address the challenges associated with managing the large amount of data generated by IoT devices. With the increasing number of connected devices, the security risks also escalate, necessitating skilled stakeholders to mitigate these risks and prevent potential attacks. This study proposes a two-part approach that involves clustering stakeholders according to their responsibilities and determining relevant features to enhance decision-making. By grouping stakeholders into shared categories, the study aims to provide a more efficient and effective method for managing IoT security. The insights gained from this research will not only benefit stakeholders involved in IoT security but also assist policymakers and regulators in developing effective strategies.
Deforestation and Its Effect on Surface Albedo and Weather Patterns in the Municipality of Tapalpa, Jalisco, México
Authors: Santos Orozco Dalia Lizeth , Ruiz Corral José Ariel , Villavicencio García Raymundo Federico , Rodriguez Moreno Victor Manuel
Published: May 2023

Deforestation is an important environmental problem in México and a key promoter of regional climate change through modifying the surface albedo. The objective of this research was to characterize the impact of deforestation and land use changes on surface albedo (α) and climate patterns in the Municipality of Tapalpa, Jalisco, México between the years 2014 and 2021. The main land cover types are coniferous forests (CF), oak and gallery woodlands (OGW), and annual agriculture (AA); which represent more than 88% of the regional territory (1066.03 km2). We used 2014 and 2021 Landsat 8 OLI images with topographic and atmospheric correction, in order to develop an inventory of albedo values for each land cover type in both time scenarios. Albedo images were generated by using the equation proposed by Liang in 2001, which is based on the reflectance of the bands 2, 3, 4, 5, and 7. Differences in albedo values were calculated between the years 2014 and 2021, and those differences were correlated with variations in climate parameters, for which we used climate data derived from the WRF model. In addition, the different land use changes found were classified in terms of triggers for increasing or decreasing surface albedo. Results showed that between 2014 and 2021, at least 38 events of land use change or deforestation occurred, with albedo increments between 1 and 11%, which triggered an average increment of 0.57% of the regional surface albedo in comparison to 2014 scenario. From 2014 to 2021, the albedo for CF, OGW, and AA, increased significantly (p<0.001; Mann-Whitney U Test) by 79, 12, and 9%, respectively. In addition, the regional albedo increment was found to be significant and negatively correlated (p<0.01 Spearman’s coefficient) with relative humidity (RH), maximum temperature (Tmax), minimum temperature (Tmin), and diurnal thermal range (DTR). The decrease in the regional values of relative humidity in 2021, occurred even when in that year the annual precipitation levels were higher than those of 2014, hence, reinforcing the fact of a possible climatic effect of the regional albedo changes. Conversion of CF and OGW into AA, perennial agriculture (PA), or grassland (GR) always yielded an albedo increment, whilst the conversion of AA to irrigation agriculture or PA triggered a decrease in albedo, and finally, the pass from GR or AA to protected agriculture caused albedo increase or decrease, depending on the greenhouse covers materials. Reducing deforestation of CF and OGW, conversion of AA or GR into PA, and selecting adequate greenhouse covers could help to mitigate regional climate change.
The Structural Causes and Trend Evolution of Imbalance and Insufficiency of Development of Digital Inclusive Finance in China
Authors: Chen Minghua , Chu Qinru , Zhang Tengwen , Li Qian , Liu Jianxu , Yamaka Woraphon
Published: May 2023

In the paper, we measure the digital financial inclusion index of 31 provinces in China from 2011 to 2020 based on three dimensions: coverage breadth, depth of use and digitalization degree. By means of weighted Dagum Gini coefficient and quantile standardization, we explored the degree of imbalance and insufficiency of the development of digital inclusive finance in China and four major regions and its structural causes. Using Kernel density estimation method and Markov chain analysis method, we further investigates the evolution trend of imbalance and insufficiency. The study finds that (1) the Digital Inclusive Financial Index in China and the four major regions rise significantly, with the COVID-19 epidemic reducing its growth rate. Of these, the eastern region has the highest development level. (2) The imbalance level of digital inclusive finance development obviously has reduced. The level of imbalance is highest within the eastern region, and the development gap between the eastern and western regions is the widest. The imbalance of overall development is mainly due to the regional imbalance. The imbalance of coverage breadth and depth of use is the main structural cause of unbalanced development in the four major regions. There is a trend of bipolarization or multipolarization in China and the other three major regions, with the exception of the central region. (3) The western region is the least developed. The development shortcoming of digital inclusive finance in China and the four major regions is the breadth of coverage. There are "Club Convergence" and "Matthew Effect" in the eastern, central and western regions.
The Ubiquitin-Proteasome Pathway and p62/SQSTM1 are Involved in The Rapid Degradation and Aggregation Mechanisms of CHK1 Mutant-Derived Toxic AGEs Formed by Glyceraldehyde
Authors: Takeda Kenji , Sakai-Sakasai Akiko , Kajinami Kouji , Takeuchi Masayoshi
Published: May 2023

Toxic advanced glycation end-products (TAGE), formed by glyceraldehyde (GA) as an intermediate in the non-enzymatic reaction with intracellular proteins, are highly cytotoxic and have been implicated in the pathogenesis of various diseases. However, the mechanisms underlying the degradation and removal of TAGE remain largely unknown. In the present study, we identified the checkpoint kinase-1 (CHK1) mutant, d270KD, which was rapidly degraded intracellularly by GA, and showed that its degradation was mainly mediated by the ubiquitin-proteasome pathway. The high-molecular-weight complexes formed by the GA stimulation of d270KD were abundant in the RIPA-insoluble fraction, which also contained high levels of TAGE. The knockdown of p62/SQSTM1 reduced the amount of high-molecular-weight complexes in the RIPA-insoluble fraction, indicating its involvement in the formation of TAGE aggregates. The present results suggest that the ubiquitin-proteasome pathway and p62 play a role in the degradation and aggregation of intracellular TAGE formed by GA. This study provides new insights into the mechanisms underlying TAGE metabolism and may lead to the development of novel therapeutic strategies for diseases associated with TAGE accumulation.
Analysis and Approximation of THD and Torque Ripple of Induction Motor for SV-PWM Control of VSI
Authors: Sieklucki Grzegorz , Sobieraj Sylwester , Gromba Jozef , Necula Raluca Elena
Published: May 2023

This article presents a harmonic analysis of the stator currents of a squirrel-cage in-15 duction motor fed by a voltage source inverter with PWM space vector control (SV-PWM). The 16 influence of PWM switching frequency and dead time (dead-band) of controlled transistors on 17 THD and electromagnetic torque ripple is shown. The aim is to determine the lowest switching 18 frequency of the transistors for which the drive will operate correctly. Characteristics were de-19 termined as functions in the form of THD ( ), where the least square approximation was 20 used for stator current measurements when the PWM switching frequency is changed. The ap-21 proximations were realized for simulation and experimental results. To clarify the results, the 22 operation of hardware PWM circuits in microcontrollers was analyzed.
Comparison of Xpert MTB/RIF Ultra Results of Stool and Sputum in Children with Presumptive Tuberculosis in Southern Ethiopia
Authors: Babo Yohannes , Seremolo Bihil , Bogale Mamush , Wabe Yasin , Churako Haba , Bilat Alemu , Degaga Tamiru , Oumer Ahmed , Haas Petra , Tiemersma Edine , Jerene Degu
Published: May 2023

The introduction of stool as a readily obtainable sample and the recently developed simple-one-step (SOS) stool processing method offer an opportunity for TB diagnosis in children. We conducted this study at secondary health facilities in Ethiopia which are the first level referral facilities for childhood TB diagnosis and treatment with the aim to determine if stool-based TB diagnosis can be performed with reasonable level of concordance with sputum tests in using Xpert MTB/RIF Ultra. Eligible children 0-14 years with presumptive pulmonary TB were asked to provide stools in addition to routinely requested sputum samples. We computed Cohen’s kappa statistic in SPSS to determine the level of agreement between stool and sputum test results. Of the 373 children included in the study, 61% were <5 years of age and 56% were male. Thirty-six children (9.7%) were diagnosed with TB and all started treatment. The rate of concordance between stool and sputum was high with kappa value of 0.83 (P<0.001). There were more Xpert ultra positive test results on stool (n=27 (7.2%)) than on sputum/NGA (n=23 (6.2%)). Laboratories in secondary hospitals can perform stool-based TB diagnosis in children with high concordance between stool and sputum test results reaffirming the applicability of the SOS method.
3D-Printed Magnesium-Doped Micro-Nano Bioactive Glass Composite Scaffolds Repair Critical Bone Defects by Promoting Osteogenesis, Angiogenesis, and Immunomodulation
Authors: Dai Kun , Zhao Fujian , Yang Zhen , Zhang Wen , Chen Dafu , Hang Fei , Chen Xiaofeng
Published: May 2023

Magnesium ions play an important immune-regulatory role during bone repair. For this study, we prepared micro-nano bioactive glass containing magnesium, which can release magnesium, silicon, and calcium ions and has a positive impact on osteogenic differentiation and vascular regeneration. In this study, MgMNBG was compounded and combined with PLGA and PCL for 3D printing. Afterwards, the physicochemical properties and bone repair performance of the scaffolds were evaluated through in vitro and in vivo experiments. We also investigated the effects of MgMNBG on osteogenic differentiation, immune regulation, and vascular regeneration. The results showed that MgMNBG can inhibit inflammation and promote osteogenesis and angiogenesis by regulating macrophages. PLGA/PCL/MgMNBG scaffolds have good osteogenic and angiogenic effects, and the composite scaffolds have excellent bone repair performance and potential application value.
Action Recognition via Adaptive Semi-Supervised Feature Analysis
Authors: Xu Zengmin , Li Xiangli , Li Jiaofen , Chen Huafeng , Hu Ruimin
Published: May 2023

This paper presents a new algorithm for semi-supervised action recognition using adaptive feature analysis. We model the samples of the same action as the same manifold and those of different actions as different manifolds, and integrate feature correlation mining and visual similarity mining into a joint framework. By maximizing the separability between different classes based on the labeled data, the proposed algorithm learns multiple features from labeled data and utilizes the intrinsic geometric structure of the data distribution between labeled and unlabeled data to boost the recognition. We introduce Projected Barzilai-Borwein (PBB) to train a subspace projection matrix as classifier. Extensive experiments on three benchmark datasets demonstrate that our algorithm outperforms the existing semi-supervised action recognition algorithms when there are a few labeled training samples.
A Low-Cost Perception and Control System for In-flight Collision Avoidance of UAVs Based on Background Subtraction
Authors: Park Jeonghwan , Choi Andrew Jaeyong
Published: May 2023

This paper proposes a high-performance and low-cost in-flight collision avoidance system based on background subtraction for unmanned aerial vehicles (UAVs). The pipeline of proposed in-flight collision avoidance system is as follows: (i) dynamic background subtraction to remove the background and to detect moving objects, (ii) denoise using morphology and binarization methods, (iii) Euclidean clustering to cluster the moving object and to remove noise blobs, (iv) distinguish independent objects and track the movement using Kalman filter, and (v) collision avoidance using proposed decision-making techniques. This work focuses on the design and the demonstration of a vision-based fast moving object detection and tracking system with decision-making capabilities to perform evasive maneuvers to replace high vision system such as event camera. The development of high-performance, low-cost unmanned aerial vehicles paired with rapid progress in vision-based perception systems herald a new era of autonomous flight systems with mission-ready capabilities. One of the key features of an autonomous UAV is a robust mid-air collision avoidance strategy. The novelty of our method lies in the motion-compensating moving object detection framework, which accomplishes the task with background subtraction via 2-D transformation approximation. Clustering and tracking algorithms process detection data to track independent objects, and stereo-camera-based distance estimation is conducted to estimate the 3-D trajectory, which is then used during decision-making procedures. The examination of the system is conducted with a quadrotor UAV test vehicle, and appropriate algorithm parameters for various requirements are deduced.
The Role of Managers in Corporate Change Management: A Literature Review
Authors: Gutiérrez-Iñiguez Ángel , Agudo Jesús Collado , Rialp-Criado Josep
Published: May 2023

We are living in a business context characterized by change, which today behaves with an unprecedented intensity, driven by the technological revolution and increased competition. As a result, increasingly large and complex companies are facing profound transformation processes in which the role of the human factor and of managers in particular, due to their high capacity to impact the organization, is essential. In response to this reality, the literature has developed a large number of approaches from different areas of knowledge: from business economics to psychology, including technical disciplines. This article offers a classification of these approaches that provides an overview of research on the role of managers in change management.
Boltzmann equation and wave kinetic equations
Authors: Bobylev Alexander Vasilievich , Kuksin Sergei Borisovitch
Published: May 2023

The well-known nonlinear kinetic equations (in particular, the wave kinetic equation and the quantum Nordheim – Uehling – Uhlenbeck equations) are considered as a natural generalization of the classical spatially homogeneous Boltzmann equation. To this goal we introduce the generalized kinetic equation that depends on a function of four real variables F(x1; x2; x3; x4). The function F is assumed to satisfy certain commutation relations. The general properties of this equation are studied. It is shown that the above mentioned kinetic equations correspond to different forms of the function (polynomial) F. Then the problem of discretization of the generalized kinetic equation is considered on the basis of ideas which are similar to those used for construction of discrete models of the Boltzmann equation. The main attention is paid to discrete models of the wave kinetic equation. It is shown that such models possses a monotone functional similar to Boltzmann H-function. The behaviour of solutions of the simplest Broadwell model for the wave kinetic equation is discussed in detail.
Analisis Kelayakan Berjalan dan Faktor yang Memengaruhi Minat Berjalan Kaki di Jakarta
Authors:   Magister Perencanaan Ekonomi dan Kebijakan Pembangunan, Fakultas Ekonomi dan Bisnis, Universitas Indonesia, Kurniawati Wahyuni , Kurniawati Wahyuni ,   Magister Perencanaan Ekonomi dan Kebijakan Pembangunan, Fakultas Ekonomi dan Bisnis, Universitas Indonesia
Published: May 2023

Berjalan merupakan moda transportasi utama untuk sebagian besar manusia di seluruh dunia dan merupakan penghubung dari moda transportasi satu ke moda transportasi lainnya. Jalur pedestrian di Jakarta belum mampu memberikan kenyamanan bagi pejalan kaki,artinya, dapat dikatakan bahwa trotoar di Jakarta belum walkable dan belum dipenuhi dengan fasilitas yang memadai. Fasilitas Pejalan kaki diukur menggunakan walkability (Kelayakan Berjalan). Walkability termasuk dalam aksesibilitas yang mempunyai dampak ekonomi yang baik, yakni penghematan biaya transportasi, efisiensi penggunaan lahan, meningkatkan harga properti (hunian),penghematan biaya kesehatan, dan pembangunan ekonomi. Pengadaan area pedestrian tidak seimbang dibandingkan dengan pengadaan infrastruktur publik lainnya. Tujuan penelitian ini adalah untuk mengkaji minat berjalan seseorang dilihat dari faktor demografi sosial ekonomi dan kelayakan berjalan. Faktor tersebut diduga memengaruhi persepsi minat dan preferensi berjalan kaki. Penelitian ini menggunakan metode penelitian kualitatif dengan observasi, survey kuesioner, dan kepada pejalan kaki serta menggunakan metode penelitian kuantitatif dengan analisis regresi logistik Penelitian dilakukan di dua jalan yakni jalan Jenderal Sudirman dan Jalan Salemba Raya.
Pengaruh Kepemilikan Asing terhadap KinerjaPerusahaan Manufaktur di Indonesia
Authors:   Program Pascasarjana Ilmu Ekonomi Fakultas Ekonomi dan Bisnis Universitas Indonesia, Priyanto Eko Adi , Qibthiyyah Riatu Mariatul ,   Program Pascasarjana Ilmu Ekonomi Fakultas Ekonomi dan Bisnis Universitas Indonesia
Published: May 2023

Studi ini bertujuan menganalisa pengaruh tingkat kepemilikan asing dan kinerja perusahaan serta menganalisa lebih lanjut pengaruh tersebut sebagai akibat adanya regulasi pembatasan kepemilikan modal asing berupa Negative Investment List (NIL). Penelitian ini menggunakan panel perusahaan manufaktur Indonesia 2007-2014 dengan metode estimasi GMM Arellano-Bond. Hasil estimasi menunjukkan kinerja awalnya meningkat dengan kepemilikan asing, namun setelah mencapai titik tertentu kinerja menurun atau pengaruh tersebut berbentuk U-terbalik. Ini mengindikasikan kepemilikan domestik diperlukan untuk mencapai kinerja optimal. Kemudian analisa lebih lanjut menunjukkan Regulasi-NIL menekan kepemilikan modal asing, kepemilikan modal asing perusahaan NIL lebih rendah dibandingkan perusahaan Non-NIL, namun kinerja perusahaan NIL rata-rata lebih rendah.
Aglomerasi Ekonomi dan Total FaktorProduktivitas Industri Manufaktur di Pulau Jawa
Authors:   Magister Perencanaan Ekonomi dan Kebijakan Pembangunan, Fakultas Ekonomi dan Bisnis, Universitas Indonesia, Gosen Gosen , Susanti Hera ,   Magister Perencanaan Ekonomi dan Kebijakan Pembangunan, Fakultas Ekonomi dan Bisnis, Universitas Indonesia
Published: May 2023

Penelitian ini membahas tentang pengaruh aglomerasi ekonomi terhadap produktivitas perusahaan industri manufaktur dengan menggunakan studi kasus di pulau Jawa yang merupakan lokasi dari lebih 80 persen perusahaan industri besar dan sedang yang ada di Indonesia. Produktivitas perusahaan yang digunakan dalam penelitian ini adalah total faktor produktivitas (TFP) dengan variabel aglomerasi ekonomi yang digunakan adalah localization economies, urbanization economies, dan kompetisi. Hasil penelitian menunjukkan bahwa aglomerasi dalam bentuk urbanization economies berpengaruh positif dan signifikan terhadap pertumbuhan total faktor produktivitas perusahaan, sedangkan aglomerasi dalam bentuk localization economies justru berpengaruh negatif. Meningkatnya persaingan usaha karena adanya konsentrasi spasial perusahaan juga berdampak positif pada produktivitas. Dengan demikian, konsentrasi spasial dalam bentuk keberagaman industri serta meningkatkan kondisi persaingan usaha di wilayah kabupaten/kota mempunyai dampak positif bagi peningkatan skala produksi perusahaan dan perlu menjadi hal yang diperhatikan dalam proses pengambilan kebijakan pembangunan perwilayahan industri.
Dana Analisis Dampak Kebijakan Keuangan Pemerintah terhadap Pihak Ketiga Bank Swasta
Authors:   Magister Perencanaan Ekonomi dan Kebijakan Pembangunan, Fakultas Ekonomi dan Bisnis, Universitas Indonesia, Wijono Setiawan , Mardanugraha Eugenia ,   Magister Perencanaan Ekonomi dan Kebijakan Pembangunan, Fakultas Ekonomi dan Bisnis, Universitas Indonesia
Published: May 2023

Kemampuan bank swasta di Indonesia dalam menghimpun dana berbeda antara satu provinsi dengan provinsi lain. Hasil pengujian data 33 provinsi di Indonesia selama 2011-2015 menunjukkan bahwa rasio APBD terhadap PDRB, komposisi jaringan kantor bank swasta, dan kepadatan penduduk memiliki pengaruh yang signifikan terhadap market share bank swasta. Sementara di luar DKI rasio sektor dagang dan jasa dalam PDRB terhadap DPK bank serta rasio PNS terhadap penduduk bekerja juga berpengaruh signifikan. Rasio APBD terhadap PDRB memberikan pengaruh negatif, sementara variabel lainnya berkontribusi positif. Kebijakan BI dan OJK terkait zonasi, memaksa perbankan swasta membuka juga jaringan kantor di zona 5 dan zona 6 yang belum besar potensinya. Untuk memberikan insentif kepada bank swasta, pemerintah perlu merelaksasi beberapa aturan terkait eksklusifitas bank BUMN. Pada sisi lain bank swasta dapat fokus pada variabel-variabel lain yang berkontribusi positif untuk mendapatkan kinerja yang optimal
Kolaborasi Makeup Wajah Fantasi "Cruella de Vil" dan Makeup Dekoratif Pengantin Sunda Putri untuk Pesta Malam Halloween
Authors: Haen Muhaemanurrohmah  , Eman Astuti
Published: May 2023

Makeup wajah dapat dibuat sesuai dengan tema yang diinginkan. Mengkolaborasikan makeup wajah fantasi dengan makeup dekoratif dapat menghasilkan makeup look yang baru.  Makeup Cruella De Vil menunjukkan makeup yang memiliki karakter antagonis dengan membuat eyeshadow berwarna hitam menggunakan teknik foxy eyes, dan alis hitam yang menaik tajam. Makeup pengantin sunda putri memiliki kesan anggun dan tenang ditunjukkan dengan eyeshadow berwarna hijau. Sirih yang menjadi ikon dari makeup look ini. Penelitian ini memiliki tujuan untuk menghadirkan sebuah alternatif makeup look baru yang dapat digunakan untuk acara pesta malam halloween dengan cara mengkolaborasikan makeup fantasi Cruella dengan makeup dekoratif pengantin sunda putri. Pesta malam halloween adalah pesta yang dihadiri dengan busana cosplay (Costume Play). Metode yang digunakan yaitu eksperimen secara langsung oleh penulis. Untuk meghasilkan alternatif makeup look yang baru ini, langkah yang harus dilewati yaitu membersihkan wajah, skin preparation, membentuk alis, menggunakan complexion, mengaplikasikan eyeshadow, memasang sirih, memasang bulu mata palsu, dan menggunakan lipstick. Dari penelitian yang telah dilakukan dapat disimpulkan bahwa mengkolaborasikan 2 karakter yag kontras dapat menghasilkan sebuah alternatif makeup look baru.
A Design of Junior High School English Homework under the ‘Double Reduction’ Policy in China
Authors: Wang Yajun , Gong Pin
Published: May 2023

Through literature review, questionnaires and interviews, this paper summarizes the present situation of English homework teachers leave in public junior high schools and how the students and parents evaluate in a Chinese inland city after the “double reduction” policy was issued in China, studies the design of English homework at junior high school level, analyzes the feedback of students, finds out that present after-class English assignment is featured by test orientation and lack of diverse, graded and interesting tasks and suggests some principles and effective designs for specific cases to make up for the deficiencies.
Analisis Penyebab Laporan Keuangan Masjid Tidak Sesuai Dengan Standar Akuntansi
Authors: Widagdo Galuh , Suprayogi Noven
Published: May 2023

This study aimed to analyze the factors that caused the Takmir of Cheng Ho Mosque and Al Irsyad Mosque in Surabaya not to apply ISAK 35 in preparing financial reports. This study uses a qualitative method with a case study approach. The study's results revealed that the factors causing the Takmir not to apply ISAK 35 to the mosque's financial reports were that the mosque Takmir did not have sufficient knowledge about ISAK 35. The mosque's financial reports were presented following the financial information needs of Takmir and donors who were not complex. The presentation of mosque financial reports based on ISAK 35 is too complicated, so the cost of presenting information is high, but the relevance (benefit) for users of mosque financial reports is low. The results of this study imply that simpler mosque financial accounting guidelines or standards are needed to balance the relevance and cost of presenting mosque financial information. There needs to be the socialization of mosque financial accounting guidelines or standards for mosque Takmir.