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2. A case of karyomegalic interstitial nephritis without FAN1 mutations in the setting of brentuximab, ifosfamide, and carboplatin exposure

Author

Matthew Leong, Tiane Dai, Lili Tong, and Cynthia C. Nast

Subjects
Karyomegalic interstitial nephritis, Brentuximab, FAN1, Diseases of the genitourinary system. Urology, RC870-923
Abstract

Abstract Background Karyomegalic interstitial nephritis (KIN) is a rare renal diagnosis associated with both genetic and medication etiologies. The primary gene associated with KIN is the FAN1 gene which encodes a protein responsible for DNA interstrand repair. Common medication triggers of KIN are chemotherapeutic agents, especially those which disrupt DNA structure such as carboplatin. Despite overlap between these mechanisms, it has not clearly been established if medication usage requires an underlying genetic predisposition for triggering KIN or if medications alone are sufficient. This ambiguous pathogenesis can make it difficult to appropriately assess risk of KIN development when starting patients on one of the known KIN-inducing therapies. Additionally, brentuximab vedotin, an antibody–drug conjugate directed against CD30, has not been previously implicated in KIN development. Case presentation. We present a 49-year-old woman previously diagnosed with metastatic Hodgkin’s lymphoma who was treated with doxorubicin, bleomycin, vinblastine, and dacarbazine, then 3 cycles of ifosfamide, carboplatin, etoposide, all of which were discontinued due to side effects. Following an episode of acute kidney injury, the serum creatinine was 1.09 mg/dL. She then received 2 doses of brentuximab, the serum creatinine rose, and the drug was discontinued. Kidney biopsy done 2 months after brentuximab and 5 months following ifosfamide therapies showed karyomegalic interstitial nephritis. Genetic evaluation showed no FAN1 gene mutations. The patient was started on pembrolizumab; no steroids were given due to concerns about interference with lymphoma immunotherapy. She remains with stable disease and stable chronic kidney disease. Conclusions This case presents a patient who developed KIN with a progressively rising serum creatinine after ifosfamide, carboplatin and brentuximab treatment. Although ifosfamide and carboplatin have known associations with the development of KIN, this case raises the possibility that brentuximab, which has a different mechanism of action, also may be associated with KIN. Additionally, the genetic findings demonstrate that drug-induced KIN can develop in the absence of FAN1 mutations, a finding not previously reported.

Published
2024
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3. Determinantes da demanda internacional de carne bovina brasileira: evidências de quebras estruturais

Author

Laércio Juarez Melz, Pascoal José Marion Filho, Reisoli Bender Filho, and Tiane Alves Rocha Gastardelo

Subjects
Cadeia produtiva de carnes, elasticidade da demanda, Mínimos Quadrados com Quebras, bovinocultura, Agriculture (General), S1-972
Abstract

O objetivo deste artigo é verificar as variáveis de impacto na demanda internacional por carne bovina entre janeiro de 1995 e junho de 2013. O método utilizado foi de Mínimos Quadrados Ordinários com Quebras, obtendo-se quatro quebras, cinco regimes. As variáveis independentes na regressão foram os preços de exportação e internos das carnes de bovinos, frangos e suínos, além da renda e da taxa de câmbio. No primeiro regime, a demanda por carne bovina foi elástica em relação aos preços, tanto interno quanto externo, da carne de frango e preço interno da carne bovina. Porém, a elasticidade-renda foi mais significativa. No segundo regime, a relação de preços externos foi inelástica. A elasticidade-renda foi significativa neste regime e houve impacto da taxa de câmbio. No terceiro regime, a demanda foi inelástica em relação aos preços externos das carnes de frango e bovina e elástica aos preços internos das mesmas carnes. A taxa de câmbio também teve impacto significativo. No quarto regime, a demanda foi elástica em relação ao preço interno e inelástica em relação aos preços externos e internos do frango. A renda passa a ser novamente significativa. No quinto regime, a demanda é elástica em relação ao preço externo dos suínos, interno do bovino e à renda. Houve tendência significativa de crescimento no segundo regime e de recessão no primeiro e terceiro regimes.

Published
2014

6. Carbon-ion radiotherapy alone vs. standard dose photon radiation with carbon-ion radiotherapy boost for high-grade gliomas: a retrospective study

Author

XiaoJun Li, YanShan Zhang, YanCheng Ye, SuQing Tian, TingChao Hu, HongYu Chai, TianE Zhang, and Faxin Wen

Subjects
High-grade glioma, Carbon ion radiotherapy, Progression-free survival, Overall survival, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract

Abstract Background This study aimed to compare the survival outcome and side effects in patients with primary high-grade glioma (HGG) who received carbon ion radiotherapy (CIRT) alone or as a boost strategy after photon radiation (photon + CIRTboost). Patients and methods Thirty-four (34) patients with histologically confirmed HGG and received CIRT alone or Photon + CIRTboost, with concurrent temozolomide between 2020.03–2023.08 in Wuwei Cancer Hospital & Institute, China were retrospectively reviewed. Overall survival (OS), progression-free survival (PFS), and acute and late toxicities were analyzed and compared. Results Eight WHO grade 3 and 26 grade 4 patients were included in the analysis. The median PFS in the CIRT alone and Photon + CIRTboost groups were 15 and 19 months respectively for all HGG cases, and 15 and 17.5 months respectively for grade 4 cases. The median OS in the CIRT alone and Photon + CIRTboost groups were 28 and 31 months respectively for all HGG cases, and 21 and 19 months respectively for grade 4 cases. No significant difference in these survival outcomes was observed between the CIRT alone and Photon + CIRTboost groups. Only grade 1 acute toxicities were observed in CIRT alone and Photon + CIRTboost groups. CIRT alone group had a significantly lower ratio of acute toxicities compared to Photon + CIRTboost (3/18 vs. 9/16, p = 0.03). No significant difference in late toxicities was observed. Conclusion Both CIRT alone and Photon + CIRTboost with concurrent temozolomide are safe, without significant differences in PFS and OS in HGG patients. It is meaningful to explore whether dose escalation of CIRTboost might improve survival outcomes of HGG patients in future randomized trials.

Published
2024
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8. Base-excision repair pathway regulates transcription-replication conflicts in pancreatic ductal adenocarcinoma

Author

Fan Meng, Tiane Li, Anup K. Singh, Yingying Wang, Marc Attiyeh, Fatemeh Kohram, Qianhua Feng, Yun R. Li, Binghui Shen, Terence Williams, Yilun Liu, and Mustafa Raoof

Subjects
CP: Cancer, CP: Molecular biology, Biology (General), QH301-705.5
Abstract

Summary: Oncogenic mutations (such as in KRAS) can dysregulate transcription and replication, leading to transcription-replication conflicts (TRCs). Here, we demonstrate that TRCs are enriched in human pancreatic ductal adenocarcinoma (PDAC) compared to other common solid tumors or normal cells. Several orthogonal approaches demonstrated that TRCs are oncogene dependent. A small interfering RNA (siRNA) screen identified several factors in the base-excision repair (BER) pathway as main regulators of TRCs in PDAC cells. Inhibitors of BER pathway (methoxyamine and CRT) enhanced TRCs. Mechanistically, BER pathway inhibition severely altered RNA polymerase II (RNAPII) and R-loop dynamics at nascent DNA, causing RNAPII trapping and contributing to enhanced TRCs. The ensuing DNA damage activated the ATR-Chk1 pathway. Co-treatment with ATR inhibitor (VX970) and BER inhibitor (methoxyamine) at clinically relevant doses synergistically enhanced DNA damage and reduced cell proliferation in PDAC cells. The study provides mechanistic insights into the regulation of TRCs in PDAC by the BER pathway, which has biologic and therapeutic implications.

Published
2024
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9. A COMPETITIVIDADE DAS EXPORTAÇÕES DE CARNE SUÍNA: OS CASOS DO BRASIL E DOS ESTADOS UNIDOS

Author

Tiane Alves Rocha Gastardelo, Laércio Juarez Melz, and Pascoal José Marion Filho

Subjects
Business, HF5001-6182, Accounting. Bookkeeping, HF5601-5689
Abstract

Este trabalho tem o objetivo de analisar a evolução da competitividade das exportações de carne suína do Brasil e dos Estados Unidos, através da aplicação do modelo Constant Market Share (CMS), no período de 1990 a 2014, incluindo os efeitos do comércio mundial, destino e competitividade. Cinco subperíodos foram analisados: 1990-1993; 1994-1998; 1999-2002; 2003-2008; 2009-2014. Os resultados apontaram que as exportações brasileiras cresceram a taxas mais elevadas que as taxas mundiais. No primeiro e terceiro subperíodos, a competitividade foi responsável pelo crescimento das exportações. No segundo subperíodo, o aumento das importações nos destinos da carne nacional foi o responsável pelo crescimento. No quarto e quinto subperíodo, a competitividade foi responsável pela estagnação das exportações. Os Estados Unidos também apresentaram taxas de crescimento positivas em todos os subperíodos, sendo a competitividade o maior responsável pelo bom desempenho. Ambos os países apresentam fragilidades relacionadas a sanidade animal e custo dos insumos.

Published
2016
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10. DETERMINANTES SETORIAIS E SISTÊMICOS DAS EXPORTAÇÕES DE CARNE SUÍNA DOS ESTADOS UNIDOS: ANÁLISE COM QUEBRAS ESTRUTURAIS

Author

Tiane Alves Rocha Gastardelo, Laércio Juarez Melz, Pascoal José Marion Filho, and Ariel Lopes Torres

Subjects
Business, HF5001-6182, Accounting. Bookkeeping, HF5601-5689
Abstract

O objetivo do artigo foi verificar alguns dos determinantes para o desempenho das exportações dos Estados Unidos, utilizando quebras estruturais para localizar mudanças nos impactos destes determinantes. Para isso, foram coletadas séries trimestrais e aplicado o método de mínimos quadrados com quebras estruturais. Duas quebras estruturais foram localizadas, resultando em três regimes. O primeiro período (1990T1-1999T4) foi um período de com maior impacto de variáveis sistêmicas (PIB e inflação), no qual o país buscava ganhos de eficiência produtiva e maior competitividade na Cadeia de Valor Global. O segundo período (2000T1-2008T3) com maior impacto do PIB, inflação, taxa de juros e abates de suínos, já com a eficiência garantida por um sistema de contratos com coordenação vertical intensa. Um terceiro período (2008T4-2014T2) mais sensível às variáveis, tanto setoriais quanto sistêmicas, resultante da crise de 2008 além dos surtos de H1N1.

Published
2015
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11. Biological Activity of 6,7-Dehydroxyroyleanone and Derivatives Obtained from Plectranthus aliciae (Codd) A.J.Paton

Author

Márcia S. Filipe, Eva M. Domínguez-Martín, Tânia C. S. P. Pires, Tiane C. Finimundy, Bruno Melgar, Filipa Mandim, Vera M. S. Isca, Raquel Pereira, Silvia Teixidó-Trujillo, Natalia A. Capote, Milan Nikolić, Nenad Filipović, Ana M. Díaz-Lanza, Ana Cristina Figueiredo, Lillian Barros, and Patrícia Rijo

Subjects
Chemistry, QD1-999
Published
2024
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12. A SUINOCULTURA INDUSTRIAL NO MUNDO E NO BRASIL

Author

Laércio Juarez Melz and Tiane Alves Rocha Gastardelo

Subjects
Business, HF5001-6182, Accounting. Bookkeeping, HF5601-5689
Abstract

O objetivo do artigo é descrever as origens históricas e desenvolvimento da suinocultura no contexto mundial e brasileiro, enfocando os principais players do mercado. O método utilizado inclui pesquisa bibliográfica e em fontes de dados secundários. A suinocultura foi introduzida na Europa vinda do Oriente. Os principais players no mercado mundial são China, Estados Unidos, Alemanha, Espanha e Brasil. No Brasil, a maior concentração é nos Estados da Região Sul, mas com crescimento em direção ao Centro-Oeste, devido a grande produção dos insumos. Os principais municípios exportadores são Itajaí-SC, Santo Ângelo-RS, Paranaguá-PR, Rio Grande-RS, três deles são portos, sem frigoríficos instalados, mas com muitos distribuidores.

Published
2014
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13. Gut microbiota mediate early life stress-induced social dysfunction and anxiety-like behaviors by impairing amino acid transport at the gut

Author

Jiushuang Zhu, Zhuoting Zhong, Lijie Shi, Ling Huang, Chunqiao Lin, Yan He, Xiuwen Xia, Tiane Zhang, Weijun Ding, and Youjun Yang

Subjects
Early life stress, gut microbiota, neurobehavioral abnormalities, synaptic transmission, medial prefrontal cortex, Diseases of the digestive system. Gastroenterology, RC799-869
Abstract

Early life stress alters gut microbiota and increases the risk of neuropsychiatric disorders, including social deficits and anxiety, in the host. However, the role of gut commensal bacteria in early life stress-induced neurobehavioral abnormalities remains unclear. Using the maternally separated (MS) mice, our research has unveiled a novel aspect of this complex relationship. We discovered that the reduced levels of amino acid transporters in the intestine of MS mice led to low glutamine (Gln) levels in the blood and synaptic dysfunction in the medial prefrontal cortex (mPFC). Abnormally low blood Gln levels limit the brain’s availability of Gln, which is required for presynaptic glutamate (Glu) and γ-aminobutyric acid (GABA) replenishment. Furthermore, MS resulted in gut microbiota dysbiosis characterized by a reduction in the relative abundance of Lactobacillus reuteri (L. reuteri). Notably, supplementation with L. reuteri ameliorates neurobehavioral abnormalities in MS mice by increasing intestinal amino acid transport and restoring synaptic transmission in the mPFC. In conclusion, our findings on the role of L. reuteri in regulating intestinal amino acid transport and buffering early life stress-induced behavioral abnormalities provide a novel insight into the microbiota-gut-brain signaling basis for emotional behaviors.

Published
2024
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14. CONCENTRAÇÃO ESPACIAL DOS REBANHOS DE SUÍNOS NO BRASIL ENTRE 1990 E 2012

Author

Laércio Juarez Melz, Tiane Alves Rocha Gastardelo, and Pascoal José Marion Filho

Subjects
Business, HF5001-6182, Accounting. Bookkeeping, HF5601-5689
Abstract

A concentração de mercado pode ser entendida como uma forma de avaliar o aumento de poder de mercado por parte das firmas. O objetivo deste artigo foi verificar se houve redução ou aumento da concentração espacial da produção de suínos no Brasil no contexto dos estados e das microrregiões. O período de análise foi entre os anos de 1990 e 2012 com dados de rebanho dos 26 estados brasileiros e de 294 microrregiões pertencentes aos oito maiores estados produtores de suínos. Adaptando-se os índices de Razão de Concentração (CR) e Herfindahl-Hirschman (HHI) para medir o aumento da concentração dos rebanhos em determinados estados e microrregiões, pode-se identificar tendências de concentração regional. Verificou-se que houve aumento da concentração nos estados da região Sul e Centro-Oeste, principalmente. Também dentro destes estados os a produção de suínos tem se concentrado em poucas microrregiões. Justifica-se a concentração nas microrregiões, a partir da teoria, devido à sua grande disponibilidade de milho.

Published
2014
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16. Natural products as glycolytic inhibitors for cervical cancer treatment: A comprehensive review

Author

Qun Liu, Xiuhan Chen, Yurong Tan, Jiao Liu, Mingya Zhu, Delin Li, Yijie Zhou, Tiane Zhang, and Qiao zhi Yin

Subjects
Cervical cancer, Glycolysis, Warburg effect, Natural products, Mechanism, Therapeutics. Pharmacology, RM1-950
Abstract

Cervical cancer, a prevalent gynaecological malignancy, presents challenges in late-stage treatment efficacy. Aerobic glycolysis, a prominent metabolic trait in cervical cancer, emerges as a promising target for novel drug discovery. Natural products, originating from traditional medicine, represent a significant therapeutic avenue and primary source for new drug development. This review explores the regulatory mechanisms of glycolysis in cervical cancer and summarises natural compounds that inhibit aerobic glycolysis as a therapeutic strategy. The glycolytic phenotype in cervical cancer is regulated by classical molecules such as HIF-1, HPV virulence factors and specificity protein 1, which facilitate the Warburg effect in cervical cancer. Various natural products, such as artemisinin, shikonin and kaempferol, exert inhibitory effects by downregulating key glycolytic enzymes through signalling pathways such as PI3K/AKT/HIF-1α and JAK2/STAT3. Despite challenges related to drug metabolism and toxicity, these natural compounds provide novel insights and promising avenues for cervical cancer treatment.

Published
2024
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19. Comparing Hybrid Approaches of Deep Learning for Remaining Useful Life Prognostic of Lithium-Ion Batteries

Author

Anas Tiane, Chafik Okar, Mohamad Alzayed, and Hicham Chaoui

Subjects
Lithium-ion battery, remaining useful life, deep neural network, machine learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

Many published journals used hybrid deep learning methods to predict batteries’ remaining useful life by adopting different rationales to select and combine deep learning methods aiming to propose the most accurate prediction model possible. The main contribution of this article consists of proposing, to the best of the authors’ knowledge, the most accurate hybrid deep learning prediction model, designed and configured by considering the theoretical strength of each of the selected deep learning models, combined with meticulous data preprocessing and feature engineering steps. A benchmark study is presented to confirm the theoretical design by comparing the prediction results of the selected hybrid model with other proposed hybrid deep learning algorithms. The selected prediction model is compared as well with previously published articles, specifically, the ones that have used hybrid deep learning methods, NASA datasets, and batteries #6, #7, and #18 selectively. The hybrid model refers to the combination of different types of deep learning architectures, such as Convolutional Neural Networks (CNNs), Deep Neural Networks (DNN), Long Short-Term Memory (LSTM), Bidirectional Long Short-Term Memory (bLSTM), recurrent neural network (RNN), Bidirectional recurrent neural network (bRNN), Gated recurrent units (GRU) and Bidirectional Gated recurrent units (bGRU). This combination includes CNN-LSTM-DNN, CNN-bLSTM-DNN, CNN-GRU-DNN, CNN-bGRU-DNN, CNN-RNN-DNN, and CNN-bRNN-DNN, and aims to leverage the strengths of each architecture in capturing spatial, temporal, and sequential patterns present in the battery dataset. The hybrid deep learning approaches are tested with multichannel inputs, encompassing parameters such as voltage, current, and temperature, as well as their respective time series averages. The objective is to predict the remaining useful life. Performance evaluation is conducted using error metrics, including Mean Absolute Error (MAE) and Root Mean Square Error (RMSE). The results revealed a remarkable 90.5% enhancement in RMSE, indicating substantial improvement.

Published
2024
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26. Iguratimod inhibits protein citrullination and inflammation by downregulating NBCe2 in patients with rheumatoid arthritis

Author

Tiane Peng, Bingtong Li, Liqi Bi, and Fangze Zhang

Subjects
rheumatoid arthritis, Iguratimod, Sodium bicarbonate cotransporter 2, Peptidylarginine deiminase, Citrullination, Methotrexate, Therapeutics. Pharmacology, RM1-950
Abstract

Background: Bicarbonate has recently been identified as a crucial factor affecting peptidylarginine deiminase (PAD) activity; however, the mechanism underlying its role in rheumatoid arthritis (RA) remains unclear. Iguratimod (IGU), a small-molecule disease-modifying anti-rheumatic drug, requires further investigation. This study aimed to explore the mechanism by which bicarbonate affects citrullination and inflammation in RA and identify new targets for IGU. Methods: We enrolled 20 patients with RA in the study. Sodium bicarbonate cotransporter 2 (NBCe2) was detected in the peripheral blood neutrophils and peripheral blood mononuclear cells (PBMCs) of these patients. The effects of varying concentrations of IGU, methotrexate (MTX), dexamethasone (DXM), and S0859 (an NBCe2 inhibitor) on NBCe2, PAD2, PAD4, and citrullinated histone H3 (cit-H3) levels in, migration ability of, and cytokine production from neutrophils and PBMCs were examined. Results: Our findings showed that in patients with RA, citrullinated protein production by peripheral blood neutrophils instead of PBMCs, which showed higher NBCe2 expression levels, increased with an increase in the bicarbonate concentration. In addition, tumor necrosis factor-alpha (TNF-α) promoted NBCe2 expression in neutrophils from patients with RA. Furthermore, we revealed that the inhibitory effects of IGU on neutrophil NBCe2 and cit-H3 levels, degrees of inhibition of neutrophil and PBMC migration, and suppression of interleukin 6, TNF-α, and metalloproteinase-9 secretion from neutrophil-like differentiated HL-60 cells did not substantially differ from those of MTX, DXM, and S0859 at specific doses. Conclusions: Bicarbonate promotes protein citrullination and inflammation in RA via NBCe2, and IGU can downregulate NBCe2.

Published
2024
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27. Surveillance for adverse events following immunization with DTaP-containing combination vaccines in Linping, China, 2019–2022

Author

Qinghua Chen, Chuandi Zhang, Chunmei Ye, Junwei Zhu, Jie Shen, Chang Zhu, Pai Yang, Tiane Liu, and Yuyang Xu

Subjects
DTaP, DTaP-Hib, DTaP-IPV/Hib, AEFI, reporting rate, Public aspects of medicine, RA1-1270
Abstract

BackgroundThe DTaP-Hib and DTaP-IPV/Hib combination vaccine can be used as a substitute for the diphtheria, tetanus, and acellular pertussis combined vaccine (DTaP). We aimed to evaluate the safety of multi-component vaccines containing DTaP by analyzing the reporting rates and characteristics of adverse events following immunization (AEFIs) in Linping District during the years 2019 to 2022.MethodsWe obtained data of AEFI and vaccination from the National AEFI Surveillance System of China and Zhejiang Municipal Immunization Information Management System, respectively, during 2019–2022 for a descriptive, epidemiological analysis.ResultsThe total number of AEFI reported following vaccinations with DTaP-containing combination vaccines was 802 in Linping District from 2019 to 2022. The overall reporting rates of AEFIs following DTaP, DTaP-Hib, and DTaP-IPV/Hib vaccinations were 445.72 (537 cases), 536.29 (45 cases), and 306.13 (220 cases) per 100,000 doses in Linping District from 2019 to 2022, respectively. Only one case of a serious AEFI following DTaP vaccination, with a reporting rate of 0.83 per 100,000 doses. The composition ratio of vaccine product-related reactions for DTaP, DTaP-Hib, and DTaP-IPV/Hib were 99.81, 97.78, and 100.00%, respectively. The composition ratio of coincidental events for DTaP and DTaP-Hib were 0.19 and 2.22%, respectively. The reporting rates of total AEFIs for DTaP-IPV/Hib were lower than for DTaP. The reporting rate of local induration for DTaP-Hib was lower than for DTaP, and the reporting rates of local redness & swelling and local induration for DTaP-IPV/Hib were both lower than for DTaP. DTaP-IPV/Hib had a higher proportion of AEFIs in first quarter compared to DTaP. The reporting rate after the second dose of DTaP-Hib was higher than that of DTaP, and the reporting rates of AEFIs after the first dose and third dose of DTaP-IPV/Hib were lower than DTaP.ConclusionThe reported AEFIs to multi-component vaccines containing DTaP components during 2019–2022 in Linping District were mainly mild vaccine reactions. DTaP-containing combination vaccines demonstrated a good safety profile.

Published
2024
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28. Analysis and Evaluation of Strengthening Effect of Inflatable Rings on Soft Stratospheric Airship

Author

Tiane LI, Jiabao LI, Xuliang CHENG, Guochang LIN, and Yaozhi LUO

Subjects
stratospheric airship, membrane materials, finite element method, inflatable rings, parameter analysis, Chemical engineering, TP155-156, Materials of engineering and construction. Mechanics of materials, TA401-492, Technology
Abstract

Purposes The research on advanced stratospheric airships in China is mainly at the conceptual design stage, lacking specific mechanical performance evaluation to promote their development. Methods On the basis of the uniaxial cyclic tensile test of airship membrane material, the mechanical performance of the semi-rigid stratospheric airship (L=120 m) with carbon fiber skeletons and inflatable rings was analyzed. The influence of carbon fiber skeletons and inflatable rings, number of inflatable rings, internal pressure of the inflatable rings, and internal pressure of envelope on mechanical performance of the envelope was investigated, and the evaluation index of inflatable ring parameters was proposed. Findings The research results indicate that compared with the traditional no-rigid airship without skeletons, the airship designed in this paper is significantly reduced in the maximum deformation of envelope, and is more uniform in the stress distribution of envelope. As the number of inflatable rings increases, the maximum deformation and maximum stress of envelope decrease, and the stress distribution of envelope is more uniform. The optimal recommended number of inflatable rings is 6. With the increase of the internal pressure of the inflatable rings, the maximum deformation of envelope decreases, and the maximum stress shows a trend that stabilizes first and then increases. The optimal recommended value of the internal pressure of the inflatable rings is about 200 kPa. As the internal pressure of the envelope increases, the contribution rate of internal skeletons to the improvement of mechanical properties decreases.

Published
2023
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33. How Does Domestic Cooking Affect the Biochemical Properties of Wild Edible Greens of the Asteraceae Family?

Author

Vasiliki Liava, Ângela Fernandes, Filipa Reis, Tiane Finimundy, Filipa Mandim, José Pinela, Dejan Stojković, Isabel C. F. R. Ferreira, Lillian Barros, and Spyridon A. Petropoulos

Subjects
wild edible species, bioactive properties, decoctions, nutritional profile, organic acids, antimicrobial properties, Chemical technology, TP1-1185
Abstract

Wild edible greens are a key ingredient of the so-called Mediterranean diet and they are commonly used in various local dishes in their raw or processed form. Domestic processing of edible greens may affect their nutritional value and chemical profile. In this work, six wild species (e.g., Cichorium spinosum L. (S1); Centaurea raphanina subsp. mixta (DC.) Runemark (S2); Picris echioides (L.) Holub (S3); Urospermum picroides (L.) Scop. ex. F.W. Schmidt (S4); Sonchus oleraceus L. (S5); and S. asper L. (S6)) were assessed for the effect of domestic processing (boiling) on chemical composition and bioactivities. Concerning the chemical composition, glucose, oxalic acid, α-tocopherol, and α-linolenic acid were the most abundant compounds, especially in P. echiodes leaves. After decoction, mainly sugars, tocopherols, and oxalic acid were decreased. The species and processing affected the phenolic compounds content and antioxidant, cytotoxicity, and anti-inflammatory activities. Specific compounds were not previously detected in the studied species, while hydroethanolic extracts contained a higher total phenolic compound content. Hydroethanolic and aqueous extracts were effective towards a range of bacterial and fungi strains. Therefore, the consumption of leaves has health-promoting properties owing to the bioactive compounds and can be integrated into healthy diets. However, domestic cooking may affect the chemical profile and bioactivities of the edible leaves, especially in the case of free sugars and phenolic compound content where a significant reduction was recorded in leaves after decoction. On the other hand, domestic processing could be beneficial since it reduces the oxalic acid content in edible leaves, which is considered an antinutritional factor.

Published
2024
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34. Early Inhibition of Phosphodiesterase 4B (PDE4B) Instills Cognitive Resilience in APPswe/PS1dE9 Mice

Author

Ben Rombaut, Melissa Schepers, Assia Tiane, Femke Mussen, Lisa Koole, Sofie Kessels, Chloë Trippaers, Ruben Jacobs, Kristiaan Wouters, Emily Willems, Lieve van Veggel, Philippos Koulousakis, Dorien Deluyker, Virginie Bito, Jos Prickaerts, Inez Wens, Bert Brône, Daniel L. A. van den Hove, and Tim Vanmierlo

Subjects
Alzheimer’s disease, cyclic nucleotide phosphodiesterases type 4B, synapse, microglia, cognition, Cytology, QH573-671
Abstract

Microglia activity can drive excessive synaptic loss during the prodromal phase of Alzheimer’s disease (AD) and is associated with lowered cyclic adenosine monophosphate (cAMP) due to cAMP phosphodiesterase 4B (PDE4B). This study aimed to investigate whether long-term inhibition of PDE4B by A33 (3 mg/kg/day) can prevent synapse loss and its associated cognitive decline in APPswe/PS1dE9 mice. This model is characterized by a chimeric mouse/human APP with the Swedish mutation and human PSEN1 lacking exon 9 (dE9), both under the control of the mouse prion protein promoter. The effects on cognitive function of prolonged A33 treatment from 20 days to 4 months of age, was assessed at 7–8 months. PDE4B inhibition significantly improved both the working and spatial memory of APPswe/PSdE9 mice after treatment ended. At the cellular level, in vitro inhibition of PDE4B induced microglial filopodia formation, suggesting that regulation of PDE4B activity can counteract microglia activation. Further research is needed to investigate if this could prevent microglia from adopting their ‘disease-associated microglia (DAM)’ phenotype in vivo. These findings support the possibility that PDE4B is a potential target in combating AD pathology and that early intervention using A33 may be a promising treatment strategy for AD.

Published
2024
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35. Chemical and Bioactive Evaluation of Essential Oils from Edible and Aromatic Mediterranean Lamiaceae Plants

Author

Rafael M. Spréa, Cristina Caleja, Tiane C. Finimundy, Ricardo C. Calhelha, Tânia C. S. P. Pires, Joana S. Amaral, Miguel A. Prieto, Isabel C. F. R. Ferreira, Eliana Pereira, and Lillian Barros

Subjects
bioactive compounds, essential oil, Lamiaceae family, volatile compounds, Organic chemistry, QD241-441
Abstract

The Lamiaceae family, which includes several well-known aromatic plants, is scientifically relevant due to its essential oils (EOs). In this work, four EOs from Mediterranean species, namely Origanum vulgare L., Rosmarinus officinalis L., Salvia officinalis L., and Thymus vulgaris L., were evaluated for their volatile profiles and the biological activity in vitro to assess their potential use in the food and cosmetic sector. GC/MS analysis revealed dominant compounds, such as carvacrol, thymol, and eucalyptol. Regarding biological action, the samples exhibited antioxidant, cytotoxic, anti-inflammatory, antimicrobial, and antifungal activities, with O. vulgare and T. officinalis standing out. T. vulgaris showed the lowest EC50 in the reducing power assay, and O. vulgare had the lowest EC50 in the DPPH assay. Most EOs also displayed excellent anti-inflammatory responses and antifungal properties, with O. vulgare and T. vulgaris also demonstrating antibacterial activity. All EOs from Mediterranean species showed cytotoxicity against tumoral cell lines. Overall, the selected EOs stood out for their interesting bioactivities, with the obtained results underscoring their potential as natural preservatives and bioactive agents in various industrial applications, including food, pharmaceuticals, and cosmetics.

Published
2024
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36. Terpenes

Author

Xavier, Virginie, Spréa, Rafael, Finimundy, Tiane C., Heleno, Sandrina A., Amaral, Joana S., Barros, Lillian, Ferreira, Isabel C. F. R., Carocho, Márcio, editor, Heleno, Sandrina A., editor, and Barros, Lillian, editor

Published
2023
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38. Association of COVID-19 Versus COVID-19 Vaccination With Kidney Function and Disease Activity in Primary Glomerular Disease: A Report of the Cure Glomerulonephropathy Study

Author

Ahn, Wooin, Appel, Gerald, Appelbaum, Paul, Babayev, Revekka, Chan, Brenda, D’Agati, Vivette Denise, Dogra, Samitri, Fernandez, Hilda, Gharavi, Ali, Hines, William, Husain, Syed Ali, Jain, Namrata, Kiryluk, Krzysztof, Lin, Fangming, Marasa, Maddalena, Markowitz, Glen, Rasouly, Hila Milo, Mohan, Sumit, Mongera, Nicola, Nestor, Jordan, Nickolas, Thomas, Radhakrishnan, Jai, Rao, Maya, Sanna-Cherchi, Simone, Shirazian, Shayan, Stokes, Michael Barry, Uy, Natalie, Valeri, Anthony, Vena, Natalie, Foroncewicz, Bartosz, Moszczuk, Barbara, Mucha, Krzysztof, Perkowska-Ptasińska, Agnieszka, Ghiggeri, Gian Marco, Lugani, Francesca, Ambruzs, Josephine, Liapis, Helen, Baracco, Rossana, Jain, Amrish, Isa Ashoor, Aviles, Diego, Srivastava, Tarak, Ahn, Sun-Young, Devarajan, Prasad, Erkan, Elif, Claes, Donna, Stone, Hillarey, Mason, Sherene, Gbadegesin, Rasheed, Gomez-Mendez, Liliana, Yin, Hong (Julie), Cai, Yi, Jens, Goebel, Steinke, Julia, Weaver, Donald, Lane, Jerome, Cramer, Carl, Pan, Cindy, Paloian, Neil, Sreedharan, Rajasree, Selewski, David, Twombley, Katherine, Bowers, Corinna, Dreher, Mary, Kallash, Mahmoud, Mahan, John, Sharpe, Samantha, Al-Uzri, Amira, Iragorri, Sandra, Belsha, Craig, Alge, Joseph, Braun, Michael, Gomez, A.C., Wenderfer, Scott, Vasylyeva, Tetyana, Feig, Daniel, Fuentes, Gabriel Cara, Hannah, Melisha, Nester, Carla, Chishti, Aftab, Klein, Jon, Katsoufis, Chryso, Seeherunvong, Wacharee, Wong, Craig, Mathews, Nisha, Barcia, John, Swiatecka-Urban, Agnes, Bartosh, Sharon, Hunley, Tracy, Dharnidharka, Vikas, Gaut, Joseph, Laurin, Louis-Philippe, Royal, Virginie, Achanti, Anand, Budisavljevic, Milos, Self, Sally, Ghossein, Cybele, Peleg, Yonatan, Wadhwani, Shikha, Almaani, Salem, Ayoub, Isabelle, Nadasdy, Tibor, Parikh, Samir, Rovin, Brad, Chang, Anthony, Fatima, Huma, Julian, Bruce, Novak, Jan, Renfrow, Matthew, Rizk, Dana, Chen, Dhruti, Derebail, Vimal, Falk, Ronald, Gibson, Keisha, Hogan, Susan, Jain, Koyal, Jennette, J. Charles, Mottl, Amy, Poulton, Caroline, Saha, Manish Kanti, Fogo, Agnes, Sanghani, Neil, Kidd, Jason, Muthusamy, Selvaraj, Hou, Jean, Lemley, Kevin, Mika, Warren, Russo, Pierre, Denburg, Michelle, Kogon, Amy, Meyers, Kevin, Pradhan, Madhura, O’Toole, John, Sedor, John, Sethna, Christine, Vento, Suzanne, Atta, Mohamed, Bagnasco, Serena, Neu, Alicia, Sperati, John, Adler, Sharon, Dai, Tiane, Dukkipati, Ram, Fervenza, Fernando, Sethi, Sanjeev, Kaskel, Frederick, Brathwaite, Kaye, Reidy, Kimberly, Weisstuch, Joseph, Wu, Ming, Zhdanova, Olga, Heymann, Jurgen, Kopp, Jeffrey, Waldman, Meryl, Winkler, Cheryl, Krissberg, Jill, Lafayette, Richard, Fahmeedah, Kamal, Talley, Elizabeth, Hladunewich, Michelle, Parekh, Rulan, Avila-Casado, Carmen, Cattran, Daniel, Heather, Reich, Boll, Philip, Drexler, Yelena, Fornoni, Alessia, Blazius, Brooke, Hodgin, Jeffrey, Oliverio, Andrea, Hogan, Jon, Palmer, Matthew, Abromovitz, Blaise, Mortiz, Michael, Alpers, Charles, Jefferson, J. Ashley, Brown, Elizabeth, Sambandam, Kamal, Roehm, Bethany, Graff, John, Gillespie, Brenda, Kretzler, Matthias, Nast, Cynthia, Barisoni, Laura, Guay-Woodford, Lisa M., Wang, Chia-shi, Glenn, Dorey A., Helmuth, Margaret, Smith, Abigail R., Bomback, Andrew S., Canetta, Pietro A., Coppock, Gaia M., Khalid, Myda, Tuttle, Katherine R., Bou-Matar, Raed, Greenbaum, Larry A., Robinson, Bruce M., Holzman, Lawrence B., Smoyer, William E., Rheault, Michelle N., Gipson, Debbie, and Mariani, Laura H.

Published
2024
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39. Efficacy and safety of sparsentan versus irbesartan in patients with IgA nephropathy (PROTECT): 2-year results from a randomised, active-controlled, phase 3 trial

Author

Abbasciano, Isabella, Abrantes, Catarina, Accarino, Simone, Adler, Sharon, Adoberg, Annika, Afsari, Rouzbeh, Ahmad, Syeda, Ahmed, Jafar, Ahn, Wooin, Ajayi, Bamidele, Aksamit, Dariusz, Al Chalabi, Saif, Alamartine, Eric, Alchi, Bassam, Ali, Mohammad, Aliotta, Roberta, Almaani, Salem, Almeida, Catarina, Almeida, Edgar, Alvarez, Francisco de la Prada, Alves, Patricia, Annese, Francesca, Appel, Gerald, Arduan, Alberto Ortiz, Arena, Maria, Arevalo, Marta Calvo, Arfaania, Dariush, Arias, Carlos, Aristoy, Emma Calatayud, Asakiene, Egle, Ashley, Sarah, Assefi, Ali, Atenza, Alba, Auerbach, Asta, Augustyniak-Bartosik, Hanna, Avella, Monroy, Ayling-Smith, Jonathan, Ayoub, Isabelle, Ayvazyan, Christine, Baccaro, Rocco, Bailey, Asha, Baker, Bruce, Balamuthusamy, Saravanan, Ballarin, Jose, Barata, Rui, Barbic, Jerko, Barisic, Dunja, Barratt, Jonathan, Barreto, Jose Carlos de Jesus, Barrios, Clara, Belingheri, Mirco, Benesova, Anna, Bernabeu, Ana Avila, Bernhardt, Wanja, Bhadra, Shamik, Biancone, Luigi, Blanchard, Anne, Boaglio, Elena, Bolignano, Davide, Bomback, Andrew, Bonilla, Gustavo Andres Useche, Bordoli, Monica, Bose, Bhadran, Boudville, Neil, Brandon, Donald, Brown, Karen, Broyet, Christian, Bucknall, Thomas, Buffet, Alexandre, Bumblyte', Inga Arune, Burdese, Manuel, Burgos, Natalia Allende, Burguet, Laure, Burtey, Stephane, Busch, Martin, Cakiroglu, Figen, Campbell, Victoria, Canetta, Pietro, Capaccio, Flavia, Carbonell, Juan, Cardoso, Filipa, Carro, Clara Garcia, Carroll, Robert, Carron, Pierre-Louis, Carullo, Nazareno, Cassia, Matthias, Caster, Dawn, Castillo, Belen Vizcaino, Catucci, Davide, Cavalli, Andrea, Chae, Dong-Wan, Chakera, Aron, Chan, Doris, Chan, Gary Chi Wang, Chan, Anthony Ting Pong, Chan, Lai Wan, Chang, Jae Hyun, Chang, Ming-Shan, Chapman, Fiona, Charytan, Chaim, Chaudhry, Asghar, Cheetham, Melissa, Chen, Cheng-Hsu, Chen, Hsin-Yu, Chen, Chien-Liang, Chen, Hung-Yuan, Chen, Hung-Chun, Chenine, Leila, Cheung, Siu Fai, Cheung, Chee Kay, Chiche-Jourde, Noemie, Chiu, Hsien-Fu, Chiu, Yen-Ling, Chiu, Yi-Wen, Chiu, Ian, Choi, Hoon Young, Chou, Kang-Ju, Chowdhury, Paramit, Chowdhury, Pradip, Chrysochou, Constantina, Chukwu, Chukwuma, Chun, Ka Yeong, Chung, Wookyung, Cieniawski, Dominik, Claisse, Guillaume, Clayton, Philip, Cleary, Catalina Martín, Clement, Nisha, Coates, Toby, Cogno, Chiara, Colla, Loredana, Collins, Michael, Colucci, Marco, Combe, Christian, Comi, Nicolino, Comunale, Roderick, Contreras, Gabriel, Cooper, Bruce, Coppock, Gaia, Costa, Ana Cortesão, Costanzi, Stefano, Cozzolino, Mario, Crail, Susan, Cunha, Liliana, Curry, Elizabeth, Dai, Tiane, Daina, Erica, Daneshvari, Sam, Dasgupta, Indranil, DaSilva, Louise, Davidson, Robert, De Bhailis, Aine Maire, de Précigout, Valérie, Decupere, Marc, Delmas, Yahsou, Deodato, Francesca, Dhaun, Neeraj, Dhaygude, Ajay, Dhelaria, Ranjit, Di Maio, Federica, Diezhandino, Maria Angeles Goicoechea, Dika, Zivka, Dinic, Miriana, Dittmer, Ian, Dobre, Mirela, Doctor, Gabriel, Donati, Gabriele, Doubel, Peter, Douthit, Nicole, Draganova, Diliana, Drexler, Yelena, Drinkovic, Martin, Drinovska, Klara, Dudreuilh, Caroline, Dumond, Clement, Durlen, Ivan, Dussol, Bertrand, Encarnacion, Montserrat Diaz, Endre, Zoltan, Enrique, Jorge, Eqbal, Yusuf, Erlich, Jonathan, Esposito, Vittoria, Esposito, Ciro, Fakih, Faisal, Fang, Hua-Chang, Farinha, Ana, Fearday, Aaron, Felgueiras, Joana de Sousa Soares, Felicjanczuk, Elzbieta, Fernandes, João Carlos, Fernandes, Sara, Fernandes, Adriana, Fernandez, Jose Luño, Fernandez, Victor, Fernando, Mangalee, Figueiredo, Ana Carolina, Firre, Eric, Floege, Jürgen, Flossmann, Oliver, Floyd, Lauren, Fonseca, Nuno, Fonseca, Jose Nuno de Almeida Agapito, Foote, Celine, Forbes, Suzanne, Forcen, Angel, Fornoni, Alessia, Fouassier, David, Fraser, Ian, Fung, Ka Shun Samuel, Furlano, Monica, Furtado, Teresa, Gadh, Rajdeep, Gaisset, Roxane, Gallagher, Martin, Gameiro, Joana, Gangadharan, Muralikrishna, Garcia, Fabiola Alonso, Garcia, Olga Gracia, Garg, Gunjan, Garrouste, Cyril, Gautam, Archana, Geara, Abdallah, Geddes, Colin, Gellineo, Lana, Germain, Michael, Gesualdo, Loreto, Ghalli, Farid, Giaroni, Francesco, Giles, Harold, Gillies, Alastair, Gimeno, Ana Vilar, Girardet, Annette, Glaze, Jeffrey, Goh, Tze, Gois, Mario, Goldsmith, Christopher, Goma, Elena, Gomes, Ana Marta, Goncalves, Luis Pedro Falcao, Goncalves, Sara, Gontarek-Kacprzak, Julita, Gonzalez, Carlos, Gopu, Arun, Gowda, Nayan, Gray, Nicholas, Greco, Barbara, Green, Heather, Greze, Clarisse, Griffin, Sian, Guldris, Secundino Cigarran, Guzman, Ursula Verdalles, Ha, Jeffrey Tsun Kit, Hall, Amanda, Hamilton, Patrick, Han, Seung Hyeok, Haws, Robert, Hayat, Ashik, Heath, Lauren, Heinrichs, Sven, Henderson, Andrew, Henderson, Amy, Hendren, Elizabeth, Heng, Anne-Elisabeth, Heres, Salia Virxinia Pol, Herfurth, Johann Konstantin, Herrero, Evangelina Merida, Ho, Tzung-Yo, Hogan, Jonathan, Hohenstein, Bernd, Hollett, Peter, Horvatic, Ivica, Hsu, Bang-Gee, Hsu, Chia-Tien, Hsu, Chih-Yang, Hsu, Shih-Ping, Huang, Chien-Wei, Hudson, Amy, Hung, Chi-Chih, Hwang, Shang-Jyh, Hwang, Daw-Yang, Hyun, Young Youl, Ilmoja, Madis, Irish, Georgina, Jacob, Radu, Jahan, Sadia, Jain, Arunima, Jamar, Sofie, Jander, Anna, Jang, Hye Ryoun, Janko, Catherine, Jardine, Meg, Jaskowski, Piotr, Jeantet, Guillaume, Jelakovic, Bojan, Jeon, Junseok, Jeong, Jong Cheol, Jesudason, Shilpanjali, Jittirat, Arksarapuk, Jo, Sang-Kyung, Jones, Rachel, Joo, Narae, Jorge, Sofia, Julian, Bruce, Jung, JiYong, Jyothinagaram, Praveena, Kadakia, Jigar, Kamal, Fahameedah, Kanigicherla, Durga, Karanovic, Sandra, Karras, Alexandre, Kasimatis, Theodoros, Kassem, Mohamad, Kattamanchi, Siddhartha, Keller, Christopher, Kentric, Dubravka Trajbar, Kettner, Christiane, Khalil, Kassem, Kim, Dana, Kim, Se Joong, Kim, Yeong Hoon, Kim, Yunmi, Kim, Hyung Wook, Kim, Sunggyun, Kim, Jwa-Kyung, Kim, Aejin, Kim, Myung-Gyu, Kimber, Cassandra, Klamm, Kathryn, Koch, Annegret, Koester, Eric, Kolvald, Kulli, Kon, Sui, Kooienga, Laura Ann, Kotwal, Sradha, Krajewska, Magdalena, Kratka, Karolina, Krishnan, Anoushka, Krishnasamy, Rathika, Krueger, Thilo, Kruljac, Ivan, Kulka, Simone, Kunzendorf, Ulrich, Kuo, Mei-Chuan, Kuo, Hung-Tien, Kuo, Sheng, Kwan, Lorraine Pui Yuen, Kwella, Norbert, Kwella, Bogna, Kyaw, Kay, Labat, Aurore, Lafayette, Richard, Lagatta, Mark, Lam, Chi Kwan Darwin, Lambie, Mark, Lanaret, Camille, Latif, Farah, Laute, Margo, Law, Wai Ping, Lawman, Sarah, Lazo, Mercedes Salgueira, Lee, Hajeong, Lee, Moon Hyoung, Lee, Kyu-Beck, Lee, Hyung-seok, Lee, JungEun, Lee, Hyun Hee, Lee, Po-Tsang, Leis, Liisi, Lemahieu, Wim, Leung, Janson, Li, Yan, Lie, Davina Ngoi Wah, Lifland, Howard, Lilienthal, Kadri, Lim, Wai, Limardo, Monica, Livrozet, Marine, Longhi, Selena, Lopes, Daniela, Lopes, Jose Antonio, Lorde, Nathan, Luxton, Grant, Ma, Mingyao, Madhrira, Machaiah, Madonia, Phillip, Maes, Bart, Mahadevan, Kumaradevan, Mahdi, Amar, Mahdi, Eamon, Maillard, Nicolas, Maixnerova, Dita, Majstorovic Barac, Karolina, Malecki, Robert, Malfait, Thomas, Malvica, Silvia, Mandayam, Sreedhar, Manley, Paul, Mansfield, Nick, Marcantoni, Carmelita, Mariat, Christophe, Marin, Tamara Malek, Marin, Lida Maria Rodas, Mark, Patrick, Marques, Joana, Martinez, Eduardo Gutierrez, Martinez, Stacy, Masset, Catherine, Masson, Ingrid, Mather, Amanda, Maung Myint, Thida Maung, Mayet, Valentin, McCafferty, Kieran, McCarthy, Ellen, McDonald, Stephen, McGreal, Kerri, McMahon, Kellyn, McNally, Andrew, McQuarrie, Emily, Medina, Allyson, Meeus, Gert, Mehta, Kshama, Mendoza, Elder, Menezes, Maria, Meng, Jerry, Messa, Piergiorgio, Messias, Ana, Miarka, Przemyslaw, Miglinas, Marius, Mikacic, Ivana, Mikhail, Ashraf, Milicevic, Martina, Minasian, Raffi, Moeller, Marcus, Mohey, Hesham, Mojarrab, Javad, Mok, Maggie Ming Yee, Moncasi, Eduardo Parra, Moonen, Martial, Morales, Wenceslao Adrian Aguilera, Moreno, Eduardo Verde, Moreno, Antolina, Morris, Adam, Moutzouris, Dimitrios, Moya, Mercedes Gonzalez, Mucha, Simon, Musolino, Michela, Napodano, Pietro, Natario, Ana, Negrea, Lavinia, Nelson, Bradley, Neuen, Brendon, Newsome, Britt, Ng, Kit Chung Jack, Nguyen, Thu, Nguyen, Viet, Nicolo, Clementine, Nitschke, Martin, Noble, Euan, Nolasco, Fernando, O'Lone, Emma, Ochoa, Adriana Sierra, Oh, Kook-Hwan, Oh, SeWon, Okoh, Pedro, Ombelet, Sara, O'Shaughnessy, Michelle, Ou, Shih-Hsiang, Packham, David, Padiyar, Aparna, Pai, Mei-Fen, Pamplona, Irene Agraz, Pan, Szu-Yu, Pandya, Bhavna, Papadia, Federica, Pardinhas, Clara, Parikh, Nishita, Parikh, Samir, Park, Hyeong Cheon, Park, Jung Tak, Parreira, Lucia, Passerini, Patrizia, Patak, Ramachandra, Patecki, Margret, Patel, Rajan, Patel, Jusmin, Patel Suthar, Meera, Patella, Gemma, Patrikyan, Artashes, Pavlovic, Drasko, Paxton, William, Peh, Chen, Peleg, Yonatan, Pelicano, Josep Miquel Blasco, Peng, Yu-Sen, Pereira de Vicente, Manuel, Perez, Jonay Pantoja, Perez, Erika, Perez de Jose, Ana, Pérez Gómez, María Vanessa, Perez Lluna, Leticia, Peri, Usha, Perico, Norberto, Philipponnet, Carole, Phua, Elaine, Piel, Julia, Pillai, Unnikrishnan, Pilmore, Helen, Plavljanic, Djuro, Plaza, Mercedes Velo, Pollock, Carol, Ponnusamy, Arvind, Ponti, Serena, Powell, Thomas, Pradhan, Nishigandha, Prado, Raul Fernandez, Prkacin, Ingrid, Pruthi, Rishi, Pugh, Dan, Quinn, Sarah, Quintana, Luis F, Raakesh, Lathika, Rabindranath, Kannaiyan, Radermacher, Luc, Radhakrishnan, Jai, Ragy, Omar Sherin Ibrahim, Raichoudhury, Ritesh, Raimundo, Mario, Randone, Paolo, Razavian, Mona, Reichel, Helmut, Reis, Marina, Remuzzi, Giuseppe, Reynolds, Annie, Ricchiuto, Anna, Rico, Ivon Maritza Bobadilla, Rigothier, Claire, Ritchie, Angus, Rivero, Maria Antonieta Azancot, Rizk, Dana, Ro, Han, Rodriguez, Alfred, Rodriguez Garcia, Eva, Roger, Simon, Rony, Mohammad, Rosenberg, Mai, Roueff, Stephane, Rovin, Brad, Roxburgh, Sarah, Ruiz, Mario, Rusinol, Helena Marco, Rychlik, Ivan, Sá, Helena, Salehi, Tania, Sánchez de la Nieta, Maria Dolores, Sanden, Silja, Santockiene, Lina, Santos, Patricia Valerio, Santos, Iara Da Silva, Sargsyan, Mari, Sarnow, Franziska, Sat, Sebahat, Satora, Ewa, Savuk, Ana, Sayer, Matthew, Schlieper, Georg, Schlosser, Mandy, Schmidt-Guertler, Hans, Schockaert, Olivier, Schulte, Kevin, Schulz, Lisa, Selvaskandan, Haresh, Semple, David, Sen, Shaundeep, Seppet, Elviira, Serrano, Antonio Galan, Serre, Jean-Emmanuel, Sevillano, Angel, Shah, Sapna, Shen, Yvonne, Sheridan, Brittany, Shu, Kai-Hsiang, Sightler, Ford, Silva, Sónia, Silva, Arnold, Sinha, Smeeta, Siriwardana, Amanda, Sitas, Zvonimir, Sivo, Carmen, Sizeland, Peter, Sly, Cathylee, Smith, Priscilla, Snow, Brian, Soares, Elsa Sofia Quadrado, Solazzo, Andrea, Solis, Elena Gutierrez, Solomon, Laurence, Song, Young Rim, Sousa, Helena, Spinowitz, Bruce, Stallworthy, Elizabeth, Stamellou, Eleni, Stanczyk, Malgorzata, Stangenberg, Stefanie, Stankovic, Marija, Stankuviene, Asta, Stea, Emma Diletta, Stompor, Tomasz, Storrar, Joshua, Sullivan, James, Sulowicz, Wladyslaw, Suyumova, Irina, Szeto, Cheuk Chun, Tamarit, Esther, Tan, Eddie, Tan, May, Tang, Sydney Chi Wai, Tang, Hon, Teixeira, Catarina, Telling, Kadri, Terrades, Natalia Ramos, Tesar, Vladimir, Tez, Didem, Thervet, Eric, Thibaudin, Damien, Thomas, Mark, Thyagarajan, Nikhil, Tkaczyk, Marcin, Torreggiani, Massimo, Trillini, Matias, Tsai, Shang-Feng, Tsai, Wan-Chuan, Tsai, Jer-Chia, Tseng, Po-Yu, Tumlin, James, Tung, Kuei-Ting, Turnbull, Angus, Udani, Suneel, Uhlinova, Jana, Unt, Kristin, Urciuolo, Federica, Vanacker, An, Vandewiele, Bert, Vaz, Alvaro, Veermae, Kristi, Viaene, Liesbeth, Vickiene, Alvita, Vigano, Sara, Vila, Maria Antonia Munar, Vilayur, Eswari, Villanueva, Caridad Martinez, Villarroya, Cristina Medrano, Villen, Alejandro Soria, Viramontes, Veronica, Vita, Caterina, Vujcic, Dunja, Wahba, Mona, Wan, Susan, Wang, Chih-Hsien, Warling, Xavier, Waters, Gerald, Waugh, Jane, Weiland, Lea, Weiner, Stefan, Weinreich, Thomas, Werth, Stephan Christian, Wickens, Olivia, Wijeratne, Vidu, Wilder, Karen, Willcocks, Lisa, Williams, Allister, Winiarska, Agata, Wirtz, Nikolaus, Wolf, Lothar, Wolf, Gunter, Wong, Muh Geot, Wong, Yick Hei, Wong, Sze Ho Sunny, Workeneh, Biruh, Wu, Ming-Ju, Wu, Hon-Yen, Wyndham, Roger, Yang, Jihyun, Yang, Ju-Yeh, Yeap, Chii, Yim, Ka Fai, Yong, Kenneth, Yoo, Tae-Hyun, Yoon, Songuk, Yu, Tung-Min, Yue, Tak Tai Andrew, Zakari, Michel, Zakauskiene, Urte, Zaoui, Philippe, Zbrzezniak, Justyna, Zielinska, Dorota, Zizzi, Carlotta Federica, Rovin, Brad H, Heerspink, Hiddo J L, Alpers, Charles E, Bieler, Stewart, Diva, Ulysses A, Inrig, Jula K, Kohan, Donald E, Komers, Radko, Małecki, Robert, Mercer, Alex, Noronha, Irene L, Oh, Se Won, Peh, Chen Au, Praga, Manuel, Preciado, Priscila, Rheault, Michelle N, Rote, William E, Tang, Sydney C W, Trachtman, Howard, Trimarchi, Hernán, Tumlin, James A, and Perkovic, Vlado

Published
2023
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41. The Significance of Hematuria in Podocytopathies

Author

Marchel, Dorota, Trachtman, Howard, Larkina, Maria, Helmuth, Margaret, Lai Yee, Jennifer Y., Fermin, Damian, Bomback, Andrew S., Canetta, Pietro A., Gipson, Debbie S., Mottl, Amy K., Parekh, Rulan S., Saha, Manish K., Sampson, Matthew G., Lafayette, Richard A., Mariani, Laura H., Massengill, S., Lo, L., Dell, K., Sedor, J., Martin, B., Lemley, K., Fajardo, C., Sharma, S., Srivastava, T., Markus, K., Sethna, C., Vento, S., Canetta, P., Pradhan, A., Gbadegesin, R., Olabisi, O., Smith, M., Greenbaum, L., Wang, C.S., Yun, E., Adler, S., LaPage, J., Amarah, A., Itteera, M., Atkinson, M., Williams, M., Fervenza, F., Hogan, M., Lieske, J., Selewski, D., Alston, C., Kaskel, F., Ross, M., Flynn, P., Kopp, J., Malaga-Dieguez, L., Zhdanova, O., Pehrson, L.J., Almaani, S., Roberts, L., Lafayette, R., Dave, S., Lee, I., Pfeffer, Z., Shah, S., Deslandes, A., Reich, H., Hladunewich, M., Ling, P., Romano, M., Brakeman, P, Podoll, A., Rogers, N., McCarthy, E., Landry, E., Fornoni, A., Bidot, C., Kretzler, M., Gipson, D., Williams, A., Stelzer, M., Nachman, P., Rheault, M., Rao, V., Derebail, V., Gibson, K., Froment, A., Ochoa-Toro, F., Holzman, L., Meyers, K., Kallem, K., Swenson, A., Sharma, K., Sambandam, K., Robles, E., Turk, M., Jefferson, A., Hingorani, S., Tuttle, K., Manahan, L., Pao, E., Kuykendall K, K., Lin, J.J., Cody, E., Kretzler, M., Barisoni, L., Gadegbeku, C., Gillespie, B., Gipson, D., Holzman, L., Mariani, L., Sampson, M.G., Sedor, J., Smith, A., Zee, J., Alter, G., Desmond, H., Eddy, S., Fermin, D., Ju, W., Larkina, M., Li, S., Lienczewski, C.C., Mainieri, T., Scherr, R., Troost, J., Williams, A., Wang, Y., Avila-Casado, Carmen, Bagnasco, Serena, Cassol, Clarissa, Bu, Lihong, Caltharp, Shelley, Demeke, Dawit, Gillespie, Brenda, Hassler, Jared, Herlitz, Leal, Hewitt, Stephen, Hodgin, Jeff, Holanda, Danni, Kambham, Neeraja, Lemley, Kevin, Mariani, Laura, Messias, Nidia, Mikhailov, Alexei, Najafian, Behzad, Palmer, Matthew, Rosenberg, Avi, Royal, Virginie, Stokes, Barry, Thomas, David, Yamashita, Michifumi, Yin, Hong, Zee, Jarcy, Zuo, Yiqin, Barisoni, Laura, Nast, Cynthia, Ahn, Wooin, Appel, Gerald, Appelbaum, Paul, Babayev, Revekka, Bomback, Andrew, Canetta, Pietro, Chan, Brenda, DʼAgati, Vivette Denise, Dogra, Samitri, Fernandez, Hilda, Gharavi, Ali, Hines, William, Husain, Syed Ali, Jain, Namrata, Kiryluk, Krzysztof, Lin, Fangming, Marasa, Maddalena, Markowitz, Glen, Rasouly, Hila Milo, Mohan, Sumit, Mongera, Nicola, Nestor, Jordan, Nickolas, Thomas, Radhakrishnan, Jai, Rao, Maya, Sanna-Cherchi, Simone, Shirazian, Shayan, Stokes, Michael Barry, Uy, Natalie, Valeri, Anthony, Vena, Natalie, Foroncewicz, Bartosz, Moszczuk, Barbara, Mucha, Krzysztof, Perkowska-Ptasińska, Agnieszka, Ghiggeri, Gian Marco, Lugani, Francesca, Ambruzs, Josephine, Liapis, Helen, Baracco, Rossana, Jain, Amrish, Ashoor, Isa, Aviles, Diego, Srivastava, Tarak, Ahn, Sun-Young, Devarajan, Prasad, Erkan, Elif, Claes, Donna, Stone, Hillarey, Mason, Sherene, Gbadegesin, Rasheed, Gomez-Mendez, Liliana, Greenbaum, Larry, Wang, Chia-shi, Yin, Hong (Julie), Cai, Yi, Jens, Goebel, Steinke, Julia, Weaver, Donald, Lane, Jerome, Cramer, Carl, Pan, Cindy, Paloian, Neil, Sreedharan, Rajasree, Selewski, David, Twombley, Katherine, Bowers, Corinna, Dreher, Mary, Kallash, Mahmoud, Mahan, John, Sharpe, Samantha, Smoyer, William, Al-Uzri, Amira, Iragorri, Sandra, Khalid, Myda, Belsha, Craig, Alge, Joseph, Braun, Michael, Gomez, AC, Wenderfer, Scott, Vasylyeva, Tetyana, Feig, Daniel, Fuentes, Gabriel Cara, Hannah, Melisha, Nester, Carla, Chishti, Aftab, Klein, Jon, Katsoufis, Chryso, Seeherunvong, Wacharee, Rheault, Michelle, Wong, Craig, Mathews, Nisha, Barcia, John, Swiatecka-Urban, Agnes, Bartosh, Sharon, Hunley, Tracy, Dharnidharka, Vikas, Gaut, Joseph, Laurin, Louis-Philippe, Royal, Virginie, Achanti, Anand, Budisavljevic, Milos, Self, Sally, Ghossein, Cybele, Peleg, Yonatan, Wadhwani, Shikha, Almaani, Salem, Ayoub, Isabelle, Nadasdy, Tibor, Samir, Parikh, Rovin, Brad, Chang, Anthony, Fatima, Huma, Julian, Bruce, Novak, Jan, Renfrow, Matthew, Rizk, Dana, Chen, Dhruti, Derebail, Vimal, Falk, Ronald, Gibson, Keisha, Glenn, Dorey, Hogan, Susan, Jain, Koyal, Jennette, J. Charles, Mottl, Amy, Poulton, Caroline, Saha, Manish Kanti, Fogo, Agnes, Sanghani, Neil, Kidd, Jason, Muthusamy, Selvaraj, Schelling, Jeffrey, Hou, Jean, Lemley, Kevin, Mika, Warren, Russo, Pierre, Denburg, Michelle, Kogon, Amy, Meyers, Kevin, Pradhan, Madhura, Matar, Raed Bou, OʼToole, John, Sedor, John, Sethna, Christine, Vento, Suzanne, Atta, Mohamed, Bagnasco, Serena, Neu, Alicia, Sperati, John, Adler, Sharon, Dai, Tiane, Dukkipati, Ram, Fervenza, Fernando, Sethi, Sanjeev, Kaskel, Frederick, Brathwaite, Kaye, Reidy, Kimberly, Weisstuch, Joseph, Wu, Ming, Zhdanova, Olga, Heymann, Jurgen, Kopp, Jeffrey, Waldman, Meryl, Winkler, Cheryl, Tuttle, Katherine, Krissberg, Jill, Lafayette, Richard, Fahmeedah, Kamal, Talley, Elizabeth, Hladunewich, Michelle, Parekh, Rulan, Avila-Casado, Carmen, Cattran, Daniel, Heather, Reich, Boll, Philip, Drexler, Yelena, Fornoni, Alessia, Gipson, Patrick, Hodgin, Jeffrey, Oliverio, Andrea, Hogan, Jon, Holzman, Lawrence, Palmer, Matthew, Coppock, Gaia, Abromovitz, Blaise, Mortiz, Michael, Alpers, Charles, Jefferson, J. Ashley, Brown, Elizabeth, Sambandam, Kamal, Roehm, Bethany, Smith, Abigail, Nast, Cynthia, Barisoni, Laura, Gillespie, Brenda, Robinson, Bruce, Kretzler, Matthias, Mariani, Laura, and Guay-Woodford, Lisa M.

Published
2024
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43. Cistus, Acacia, and Lemon verbena Valorization through Response Surface Methodology: Optimization Studies and Potential Application in the Pharmaceutical and Nutraceutical Industries

Author

Filipa A. Fernandes, Márcio Carocho, Tiane C. Finimundy, Miguel A. Prieto, Isabel C. F. R. Ferreira, Lillian Barros, and Sandrina A. Heleno

Subjects
Cistus ladanifer L., Acacia dealbata L., Aloysia citrodora Paláu, extraction optimization, response surface methodology, phenolic compounds, Medicine, Pharmacy and materia medica, RS1-441
Abstract

Cistus ladanifer L., Acacia dealbata L., and Aloysia citrodora Paláu were subject to an optimization procedure for two extraction techniques (heat-assisted extraction (HAE) and ultrasound-assisted extraction (UAE)). The extracts were then analyzed by HPLC-DAD-ESI/MS for their phenolic profile (cistus—15 compounds, acacia—21 compounds, and lemon verbena—9 compounds). The response surface methodology was applied, considering four varying factors: ethanol percentage; extraction time; temperature/power; and S/L ratio, generating two responses (the major phenolic compound, or family of compounds, and the extraction yield). For cistus, both techniques optimized the extraction yield of punicalagins, with UAE proving to be the most efficient extraction method (3.22% ethanol, 22 min, 171 W, and 35 g/L). For acacia, HAE maximized the extraction of procyanidin (74% ethanol, 86 min, 24 °C, and 50 g/L), and UAE maximized the content of myricetin (65% ethanol, 8 min, 50 W, and 50 g/L). For lemon verbena, HAE favored the extraction of martynoside (13% ethanol, 96 min, 49 °C and 17 g/L) and forsythiaside UAE (94% ethanol, 25 min, 399 W, and 29 g/L). The optimal conditions for the extraction of compounds with high added value and potential for use in pharmaceuticals and nutraceuticals were defined.

Published
2024
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45. Sparsentan in patients with IgA nephropathy: a prespecified interim analysis from a randomised, double-blind, active-controlled clinical trial

Author

Alarmartine, Eric, Barratt, Jonathan, Chae, Dong Wan, Del Vecchio, Lucia, Floege, Jurgen, Hwang, Shang-Jyh, Jelakovic, Bojan, Maes, Bart, Malecki, Robert, Miglinas, Marius, Nolasco, Fernando Eduardo Barbosa, Praga, Manual, Rabindranath, Kannaiyan, Rosenberg, Mai, Rovin, Brad, Tang, Sydney Chi Wai, Tesar, Vladmir, Wong, Muh Geot, Bose, Bhadran, Gangadharan, Muralikrishna, McDonald, Stephen, Peh, Chen, Jahan, Sadia, Yeap, Chii, Clayton, Philip, Irish, Georgina, Thyagarajan, Nikhil, Hollett, Peter, Krishnasamy, Rathika, Carroll, Robert, Jesudason, Shilpanjali, Crail, Susan, Coates, Toby, Waugh, Jane, Noble, Euan, Mahadevan, Kumaradevan, Campbell, Victoria, Salehi, Tania, Lim, Wai, Boudville, Neil, Chakera, Aron, Chan, Doris, Krishnan, Anoushka, Eqbal, Yusuf, Gillies, Alastair, Vilayur, Eswari, Maung Myint, Thida Maung, Gray, Nicholas, Cheetham, Melissa, Pollock, Carol, Cooper, Bruce, Mather, Amanda, Roxburgh, Sarah, Shen, Yvonne, Stangenberg, Stefanie, Siriwardana, Amanda, O'Lone, Emma, Wan, Susan, Neuen, Brendon, Tsun Kit Ha, Jeffrey, Kim, Dana, Heath, Lauren, Jain, Arunima, Phua, Elaine, Li, Yan, Gallagher, Martin, Jardine, Meg, Ritchie, Angus, Razavian, Mona, Foote, Celine, Wyndham, Roger, Sen, Shaundeep, Endre, Zoltan, Erlich, Jonathan, Fernando, Mangalee, Yong, Kenneth, Luxton, Grant, Kotwal, Sradha, Roger, Simon, Wijeratne, Vidu, Packham, David, Fraser, Ian, Vandewiele, Bert, Laute, Margo, Lemahieu, Wim, Jamar, Sofie, Ombelet, Sara, Meeus, Gert, Decupere, Marc, Schockaert, Olivier, Doubel, Peter, Viaene, Liesbeth, Radermacher, Luc, Masset, Catherine, Moonen, Martial, Firre, Eric, Milicevic, Martina, Warling, Xavier, Vanacker, An, Malfait, Thomas, Durlen, Ivan, Horvatic, Ivica, Savuk, Ana, Gellineo, Lana, Karanovic, Sandra, Dika, Zivka, Plavljanic, Djuro, Mikacic, Ivana, Trajbar Kentric, Dubravka, Barisic, Dunja, Stankovic, Marija, Majstorovic Barac, Karolina, Kruljac, Ivan, Pavlovic, Drasko, Drinkovic, Martin, Prkacin, Ingrid, Barbic, Jerko, Sitas, Zvonimir, Vujcic, Dunja, Rychlik, Ivan, Benesova, Anna, Drinovska, Klara, Kratka, Karolina, Maixnerova, Dita, Ilmoja, Madis, Unt, Kristin, Lilienthal, Kadri, Auerbach, Asta, Leis, Liisi, Piel, Julia, Adoberg, Annika, Kolvald, Kulli, Veermae, Kristi, Telling, Kadri, Seppet, Elviira, Uhlinova, Jana, Zaoui, Philippe, Carron, Pierre-Louis, Masson, Ingrid, Dinic, Miriana, Thibaudin, Damien, Broyet, Christian, Maillard, Nicolas, Mohey, Hesham, Mariat, Christophe, Claisse, Guillaume, Alamartine, Eric, Dussol, Bertrand, Burtey, Stephane, Chiche-Jourde, Noemie, Serre, Jean-Emmanuel, Jeantet, Guillaume, Chenine, Leila, Blanchard, Anne, Roueff, Stephane, Thervet, Eric, Fouassier, David, Buffet, Alexandre, Livrozet, Marine, Gaisset, Roxane, Karras, Alexandre, Heng, Anne-Elisabeth, Garrouste, Cyril, Philipponnet, Carole, Nicolo, Clementine, Atenza, Alba, Lanaret, Camille, Greze, Clarisse, Mayet, Valentin, Dumond, Clement, Delmas, Yahsou, Combe, Christian, Rigothier, Claire, Burguet, Laure, Labat, Aurore, Mucha, Simon, de Précigout, Valérie, Weinreich, Thomas, Reichel, Helmut, Draganova, Diliana, Wolf, Lothar, Hohenstein, Bernd, Heinrichs, Sven, Kulka, Simone, Sat, Sebahat, Weiland, Lea, Krueger, Thilo, Wolf, Gunter, Kettner, Christiane, Schlosser, Mandy, Herfurth, Johann Konstantin, Koch, Annegret, Busch, Martin, Werth, Stephan Christian, Nitschke, Martin, Cakiroglu, Figen, Sarnow, Franziska, Schulz, Lisa, Weiner, Stefan, Wirtz, Nikolaus, Koester, Eric, Moeller, Marcus, Stamellou, Eleni, Sanden, Silja, Schmidt-Guertler, Hans, Bernhardt, Wanja, Patecki, Margret, Schlieper, Georg, Schulte, Kevin, Girardet, Annette, Kunzendorf, Ulrich, Kwan, Lorraine Pui Yuen, Mok, Maggie Ming Yee, Chan, Gary Chi Wang, Ma, Mingyao, Lie, Davina Ngoi Wah, Chan, Anthony Ting Pong, Szeto, Cheuk Chun, Ng, Kit Chung Jack, Cheung, Siu Fai, Yue, Tak Tai Andrew, Fung, Ka Shun Samuel, Tang, Hon, Yim, Ka Fai, Law, Wai Ping, Wong, Yick Hei, Lam, Chi Kwan Darwin, Wong, Sze Ho Sunny, Marcantoni, Carmelita, Aliotta, Roberta, Deodato, Francesca, Patella, Gemma, Comi, Nicolino, Vita, Caterina, Carullo, Nazareno, Bolignano, Davide, Musolino, Michela, Trillini, Matias, Perico, Norberto, Remuzzi, Giuseppe, Daina, Erica, Biancone, Luigi, Colla, Loredana, Burdese, Manuel, Cogno, Chiara, Boaglio, Elena, Abbasciano, Isabella, Zizzi, Carlotta Federica, Randone, Paolo, Napodano, Pietro, Ricchiuto, Anna, Cassia, Matthias, Accarino, Simone, Cozzolino, Mario, Baccaro, Rocco, Costanzi, Stefano, Di Maio, Federica, Arena, Maria, Urciuolo, Federica, Vigano, Sara, Cavalli, Andrea, Limardo, Monica, Bordoli, Monica, Ponti, Serena, Longhi, Selena, Solazzo, Andrea, Giaroni, Francesco, Donati, Gabriele, Torreggiani, Massimo, Catucci, Davide, Colucci, Marco, Esposito, Vittoria, Esposito, Ciro, Gesualdo, Loreto, Capaccio, Flavia, Diletta Stea, Emma, Sivo, Carmen, Annese, Francesca, Papadia, Federica, Messa, Piergiorgio, Belingheri, Mirco, Passerini, Patrizia, Malvica, Silvia, Vickiene, Alvita, Zakauskiene, Urte, Asakiene, Egle, Bumblyte', Inga Arune, Stankuviene, Asta, Santockiene, Lina, Hayat, Ashik, Williams, Allister, Sizeland, Peter, Tan, Eddie, Waters, Gerald, Chan, Lai Wan, Henderson, Andrew, Turnbull, Angus, McNally, Andrew, Reynolds, Annie, Pilmore, Helen, Dittmer, Ian, Manley, Paul, Stallworthy, Elizabeth, Goh, Tze, Semple, David, Collins, Michael, Curry, Elizabeth, Ahmed, Jafar, Nguyen, Thu, Winiarska, Agata, Zbrzezniak, Justyna, Stompor, Tomasz, Krajewska, Magdalena, Augustyniak-Bartosik, Hanna, Zielinska, Dorota, Jander, Anna, Stanczyk, Malgorzata, Tkaczyk, Marcin, Miarka, Przemyslaw, Aksamit, Dariusz, Jaskowski, Piotr, Sulowicz, Wladyslaw, Cieniawski, Dominik, Gontarek-Kacprzak, Julita, Felicjanczuk, Elzbieta, Kwella, Norbert, Kwella, Bogna, Satora, Ewa, Fernandes, João Carlos, Gomes, Ana Marta, Reis, Marina, Lopes, Daniela, Almeida, Catarina, Sá, Helena, Figueiredo, Ana Carolina, Pardinhas, Clara, Almeida, Edgar, Raimundo, Mario, Cortesão Costa, Ana, Falcao Goncalves, Luis Pedro, Fernandes, Sara, Silva, Sónia, Teixeira, Catarina, Fernandes, Adriana, Nolasco, Fernando, Alves, Patricia, Gois, Mario, Fonseca, Nuno, Messias, Ana, Menezes, Maria, Cardoso, Filipa, Sousa, Helena, Marques, Joana, Barata, Rui, Lopes, Jose Antonio, Jorge, Sofia, Gameiro, Joana, de Almeida Agapito Fonseca, Jose Nuno, Goncalves, Sara, Farinha, Ana, Valerio Santos, Patricia, Natario, Ana, de Jesus Barreto, Jose Carlos, Abrantes, Catarina, Quadrado Soares, Elsa Sofia, Soares Felgueiras, Joana de Sousa, Cunha, Liliana, Parreira, Lucia, Furtado, Teresa, Vaz, Alvaro, Oh, Kook-Hwan, Lee, Hajeong, Joong Kim, Se, Jeong, Jong Cheol, Hoon Kim, Yeong, Kim, Yunmi, Park, Hyeong Cheon, Choi, Hoon Young, Wook Kim, Hyung, Lee, Moon Hyoung, Yoon, Songuk, Lee, Kyu-Beck, Hyun, YoungYoul, Yoo, Tae-Hyun, Han, Seung Hyeok, Park, Jung Tak, Kim, Sunggyun, Song, Young Rim, Kim, Jwa-Kyung, Lee, Hyung-seok, Joo, Narae, Lee, JungEun, Ryoun Jang, Hye, Jeon, Junseok, Chung, Wookyung, Lee, HyunHee, Chang, Jae Hyun, Chun, Ka Yeong, Jung, Ji Yong, Ro, Han, Kim, Aejin, Jo, Sang-Kyung, Yang, Jihyun, Kim, Myung-Gyu, Oh, SeWon, Martinez Villanueva, Caridad, Gimeno, Ana Vilar, Andres Useche Bonilla, Gustavo, Tamarit, Esther, Galan Serrano, Antonio, Verde Moreno, Eduardo, Fernandez, Jose Luño, Goicoechea Diezhandino, Maria Angeles, Verdalles Guzman, Ursula, de Jose, Ana Perez, Ortiz Arduan, Alberto, Pérez Gómez, María Vanessa, Martín Cleary, Catalina, Prado, Raul Fernandez, Goma, Elena, Ballarin, Jose, Encarnacion, Montserrat Diaz, Da Silva Santos, Iara, Marco Rusinol, Helena, Furlano, Monica, Arias, Carlos, Barrios, Clara, Garcia, Eva Rodriguez, Sierra Ochoa, Adriana, Vizcaino Castillo, Belen, Pantoja Perez, Jonay, Gonzalez Moya, Mercedes, Sargsyan, Mari, Calatayud Aristoy, Emma, Bernabeu, Ana Avila, Perez Lluna, Leticia, Malek Marin, Tamara, Antonia Munar Vila, Maria, Bobadilla Rico, Ivon Maritza, Allende Burgos, Natalia, Gutierrez Martinez, Eduardo, Gutierrez Solis, Elena, Sevillano, Angel, Merida Herrero, Evangelina, Miquel Blasco Pelicano, Josep, Rodas Marin, Lida Maria, Quintana, Luis F, Antonieta Azancot Rivero, Maria, Ramos Terrades, Natalia, Garcia Carro, Clara, Agraz Pamplona, Irene, Salgueira Lazo, Mercedes, de la Prada Alvarez, Francisco, Alonso Garcia, Fabiola, Adrian Aguilera Morales, Wenceslao, Virxinia Pol Heres, Salia, Forcen, Angel, Parra Moncasi, Eduardo, Medrano Villarroya, Cristina, Soria Villen, Alejandro, Gracia Garcia, Olga, Velo Plaza, Mercedes, Sánchez de la Nieta, Maria Dolores, Calvo Arevalo, Marta, Moreno, Antolina, Cigarran Guldris, Secundino, de Vicente, Manuel Pereira, Munar Vila, Maria Antonia, Hsu, Bang-Gee, Wang, Chih-Hsien, Chen, Cheng-Hsu, Yu, Tung-Min, Wu, Ming-Ju, Tsai, Shang-Feng, Hsu, Chia-Tien, Chiu, Hsien-Fu, Chou, Kang-Ju, Fang, Hua-Chang, Lee, Po-Tsang, Chen, Hsin-Yu, Chen, Chien-Liang, Huang, Chien-Wei, Ou, Shih-Hsiang, Ho, Tzung-Yo, Hsu, Chih-Yang, Chang, Ming-Shan, Chiu, Yen-Ling, Peng, Yu-Sen, Shu, Kai-Hsiang, Pan, Szu-Yu, Hsu, Shih-Ping, Yang, Ju-Yeh, Pai, Mei-Fen, Tseng, Po-Yu, Wu, Hon-Yen, Tsai, Wan-Chuan, Tung, Kuei-Ting, Chen, Hung-Yuan, Chen, Hung-Chun, Kuo, Mei-Chuan, Hwang, Daw-Yang, Chiu, Yi-Wen, Hung, Chi-Chih, Kuo, Hung-Tien, Tsai, Jer-Chia, McCafferty, Kieran, Forbes, Suzanne, Dasgupta, Indranil, Thomas, Mark, Mahdi, Amar, Ajayi, Bamidele, Chowdhury, Paramit, Kasimatis, Theodoros, Moutzouris, Dimitrios, Dudreuilh, Caroline, Pruthi, Rishi, Mansfield, Nick, Doctor, Gabriel, Shah, Sapna, Kon, Sui, Smith, Priscilla, Hamilton, Patrick, Kanigicherla, Durga, Ibrahim Ragy, Omar Sherin, Alchi, Bassam, Flossmann, Oliver, Ghalli, Farid, Lawman, Sarah, Sinha, Smeeta, Chrysochou, Constantina, Chukwu, Chukwuma, Maire De Bhailis, Aine, Al Chalabi, Saif, Hudson, Amy, Gopu, Arun, Wickens, Olivia, Storrar, Joshua, Wahba, Mona, Lorde, Nathan, Rony, Mohammad, Griffin, Sian, Latif, Farah, Ali, Mohammad, DaSilva, Louise, Ayling-Smith, Jonathan, Mahdi, Eamon, Willcocks, Lisa, Jones, Rachel, Cheung, Chee Kay, Selvaskandan, Haresh, Pugh, Dan, Sayer, Matthew, Dhaun, Neeraj, Chapman, Fiona, Mark, Patrick, Geddes, Colin, McQuarrie, Emily, Patel, Rajan, Solomon, Laurence, Ponnusamy, Arvind, Morris, Adam, Okoh, Pedro, Floyd, Lauren, Dhaygude, Ajay, Leung, Janson, Goldsmith, Christopher, Pandya, Bhavna, Tez, Didem, Mikhail, Ashraf, Brown, Karen, Bucknall, Thomas, Lambie, Mark, Comunale, Roderick, Brandon, Donald, Martinez, Stacy, Hall, Amanda, Henderson, Amy, Fearday, Aaron, Douthit, Nicole, Snow, Brian, Silva, Arnold, Sly, Cathylee, Keller, Christopher, Davidson, Robert, Meng, Jerry, Haws, Robert, Kattamanchi, Siddhartha, Mojarrab, Javad, Pillai, Unnikrishnan, Lafayette, Richard, O'Shaughnessy, Michelle, Kamal, Fahameedah, Mehta, Kshama, Baker, Bruce, Ruiz, Mario, Jyothinagaram, Praveena, Peri, Usha, Paxton, William, Tumlin, James, McGreal, Kerri, McCarthy, Ellen, Kimber, Cassandra, Gautam, Archana, Khalil, Kassem, Nguyen, Viet, Minasian, Raffi, Arfaania, Dariush, Daneshvari, Sam, Zakari, Michel, Patrikyan, Artashes, Afsari, Rouzbeh, Ayvazyan, Christine, Fakih, Faisal, Lagatta, Mark, Rodriguez, Alfred, Avella, Jorge Enrique Monroy, Patak, Ramachandra, Kadakia, Jigar, Radhakrishnan, Jai, Appel, Gerald, Ahn, Wooin, Nelson, Bradley, Medina, Allyson, Ahmad, Syeda, Peleg, Yonatan, Clement, Nisha, Chiu, Ian, Hendren, Elizabeth, Bomback, Andrew, Canetta, Pietro, Spinowitz, Bruce, Charytan, Chaim, Parikh, Nishita, Kuo, Sheng, Raichoudhury, Ritesh, Dobre, Mirela, Negrea, Lavinia, Padiyar, Aparna, Jittirat, Arksarapuk, Pradhan, Nishigandha, Dhelaria, Ranjit, Balamuthusamy, Saravanan, Madhrira, Machaiah, Powell, Thomas, Lifland, Howard, Bailey, Asha, Ford Sightler, Sarah Ashley, Suthar, Meera Patel, Green, Heather, Parikh, Samir, Ayoub, Isabelle, Almaani, Salem, Contreras, Gabriel, Fornoni, Alessia, Drexler, Yelena, Geara, Abdallah, Sheridan, Brittany, Coppock, Gaia, Hogan, Jonathan, Gonzalez, Carlos, Bhadra, Shamik, Chowdhury, Pradip, Kyaw, Kay, Tan, May, Raakesh, Lathika, Mendoza, Elder, Viramontes, Veronica, Chaudhry, Asghar, Carbonell, Juan, Gadh, Rajdeep, Fernandez, Victor, Kassem, Mohamad, Jacob, Radu, Wilder, Karen, Newsome, Britt, Klamm, Kathryn, Suyumova, Irina, Kooienga, Laura Ann, Janko, Catherine, Rizk, Dana, Julian, Bruce, Caster, Dawn, Perez, Erika, Garg, Gunjan, Gowda, Nayan, Udani, Suneel, Mandayam, Sreedhar, Workeneh, Biruh, Assefi, Ali, Greco, Barbara, Germain, Michael, Patel, Jusmin, Quinn, Sarah, Sullivan, James, Glaze, Jeffrey, Madonia, Phillip, McMahon, Kellyn, Giles, Harold, Adler, Sharon, Dai, Tiane, Heerspink, Hiddo J L, Alpers, Charles E, Bieler, Stewart, Diva, Ulysses, Inrig, Jula, Komers, Radko, Mercer, Alex, Noronha, Irene L, Rheault, Michelle N, Rote, William, Trachtman, Howard, Trimarchi, Hernán, and Perkovic, Vlado

Published
2023
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46. Racial and Ethnic Disparities in Acute Care Utilization Among Patients With Glomerular Disease

Author

Ahn, Wooin, Appel, Gerald, Appelbaum, Paul, Babayev, Revekka, Bomback, Andrew, Brown, Eric, Canetta, Pietro, Carlassara, Lucrezia, Chan, Brenda, D’Agati, Vivette Denise, Dogra, Samitri, Fernandez, Hilda, Gharavi, Ali, Hines, William, Husain, Syed Ali, Kiryluk, Krzysztof, Lin, Fangming, Marasa, Maddalena, Markowitz, Glen, Rasouly, Hila Milo, Mohan, Sumit, Mongera, Nicola, Nickolas, Thomas, Radhakrishnan, Jai, Rao, Maya, Sanna-Cherchi, Simone, Shirazian, Shayan, Stokes, Michael Barry, Uy, Natalie, Valeri, Anthony, Vena, Natalie, Foroncewicz, Bartosz, Moszczuk, Barbara, Mucha, Krzysztof, Perkowska-Ptasińska, Agnieszka, Ghiggeri, Gian Marco, Ambruzs, Josephine, Liapis, Helen, Baracco, Rossana, Jain, Amrish, Ashoor, Isa, Srivastava, Tarak, Ahn, Sun-Young, Devarajan, Prasad, Erkan, Elif, Claes, Donna, Stone, Hillarey, Mason, Sherene, Silva, Cynthia, Gomez-Mendez, Liliana, Wang, Chia-shi, Yin, Hong (Julie), Jens, Goebel, Steinke, Julia, Cramer, Carl, Pan, Cindy, Sreedharan, Rajasree, Bowers, Corinna, Dreher, Mary, Kallash, Mahmoud, Mahan, John, Sharpe, Samantha, Smoyer, William, Al-Uzri, Amira, Belsha, Craig, Braun, Michael, Gomez, A.C., Feig, Daniel, Fuentes, Gabriel Cara, Hannah, Melisha, Nester, Carla, Chishti, Aftab, Klein, Jon, Katsoufis, Chryso, Seeherunvong, Wacharee, Rheault, Michelle, Wong, Craig, Mathews, Nisha, Barcia, John, Swiatecka-Urban, Agnes, Bartosh, Sharon, Hunley, Tracy, Dharnidharka, Vikas, Gaut, Joseph, Laurin, Louis-Philippe, Royal, Virginie, Achanti, Anand, Budisavljevic, Milos, Self, Sally, Ghossein, Cybele, Wadhwani, Shikha, Ayoub, Isabelle, Nadasdy, Tibor, Parikh, Samir, Rovin, Brad, Chang, Anthony, Fatima, Huma, Novak, Jan, Renfrow, Matthew, Rizk, Dana, Chen, Dhruti, Derebail, Vimal, Falk, Ronald, Gibson, Keisha, Hogan, Susan, Jain, Koyal, Jennette, J. Charles, Mottl, Amy, Poulton, Caroline, Saha, Manish Kanti, Fogo, Agnes, Sanghani, Neil, Kidd, Jason, Massey, Hugh, Muthusamy, Selvaraj, Ganesan, Santhi, Gonzalez-Vicente, Agustin, Schelling, Jeffrey, Hou, Jean, Lemley, Kevin, Mika, Warren, Russo, Pierre, Denburg, Michelle, Kogon, Amy, Meyers, Kevin, Pradhan, Madhura, Matar, Raed Bou, O’Toole, John, Sedor, John, Bagnasco, Serena, Neu, Alicia, Adler, Sharon, Dai, Tiane, Dukkipati, Ram, Fervenza, Fernando, Sethi, Sanjeev, Kaskel, Frederick, Vento, Suzanne, Weisstuch, Joseph, Wu, Ming, Zhdanova, Olga, Heymann, Jurgen, Waldman, Meryl, Winkler, Cheryl, Hladunewich, Michelle, Avila-Casado, Carmen, Cattran, Daniel, Heather, Reich, Boll, Philip, Drexler, Yelena, Fornoni, Alessia, Gipson, Patrick, Hodgin, Jeffrey, Oliverio, Andrew, Hogan, Jon, Holzman, Lawrence, Palmer, Matthew, Abromovitz, Blaise, Mortiz, Michael, Alpers, Charles, Jefferson, J. Ashley, Brown, Elizabeth, Sambandam, Kamal, Robinson, Bruce, Nast, Cynthia, Barisoni, Laura, Gillespie, Brenda, Gipson, Deb, Hicken, Maggie, Kretzler, Matthias, Mariani, Laura, Guay-Woodford, Lisa M., Krissberg, Jill R., O’Shaughnessy, Michelle M., Smith, Abigail R., Helmuth, Margaret E., Almaani, Salem, Aviles, Diego H., Brathwaite, Kaye E., Cai, Yi, Gbadegesin, Rasheed, Glenn, Dorey A., Greenbaum, Larry A., Iragorri, Sandra, Khalid, Myda, Kopp, Jeffrey, Lafayette, Richard, Lane, Jerome C., Lugani, Francesca, Nestor, Jordan G., Parekh, Rulan S., Reidy, Kimberly, Selewski, David T., Sethna, Christine B., Sperati, C. John, Tuttle, Katherine, Twombley, Katherine, Vasylyeva, Tetyana L., Weaver, Donald J., Jr., and Wenderfer, Scott E.

Published
2023
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47. Selective PDE4 subtype inhibition provides new opportunities to intervene in neuroinflammatory versus myelin damaging hallmarks of multiple sclerosis

Author

Schepers, Melissa, Paes, Dean, Tiane, Assia, Rombaut, Ben, Piccart, Elisabeth, van Veggel, Lieve, Gervois, Pascal, Wolfs, Esther, Lambrichts, Ivo, Brullo, Chiara, Bruno, Olga, Fedele, Ernesto, Ricciarelli, Roberta, ffrench-Constant, Charles, Bechler, Marie E., van Schaik, Pauline, Baron, Wia, Lefevere, Evy, Wasner, Kobi, Grünewald, Anne, Verfaillie, Catherine, Baeten, Paulien, Broux, Bieke, Wieringa, Paul, Hellings, Niels, Prickaerts, Jos, and Vanmierlo, Tim

Published
2023
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48. Early Inhibition of Phosphodiesterase 4B (PDE4B) Instills Cognitive Resilience in APPswe/PS1dE9 Mice

Author

Rombaut, Ben, primary, Schepers, Melissa, additional, Tiane, Assia, additional, Mussen, Femke, additional, Koole, Lisa, additional, Kessels, Sofie, additional, Trippaers, Chloë, additional, Jacobs, Ruben, additional, Wouters, Kristiaan, additional, Willems, Emily, additional, Veggel, Lieve van, additional, Koulousakis, Philippos, additional, Deluyker, Dorien, additional, Bito, Virginie, additional, Prickaerts, Jos, additional, Wens, Inez, additional, Brône, Bert, additional, van den Hove, Daniel L. A., additional, and Vanmierlo, Tim, additional

Published
2024
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49. Spatial distribution and influencing factors of rice irrigation water demand based on GIS

Author

Zhang Yadong, Zhou Tiane, Zheng Shizong, Cheng Heng, and Luo Tongyuan

Subjects
Environmental sciences, GE1-350
Abstract

The spatiotemporal distribution of irrigation water demand is the main basis for scientifically formulating irrigation quotas and management strategies for different regions. Using daily meteorological data from 15 meteorological stations in the southeastern coastal area of Zhejiang Province over the past 30 years, the Penman Monteith method recommended by FAO was used to calculate the irrigation water demand for rice throughout its entire growth period. Using the spatial analysis function of GIS, obtain the spatial distribution map of rice irrigation water demand through inverse distance weight interpolation method. The results show that there is a significant spatial difference in the irrigation water demand for rice in the southeastern coastal areas of Zhejiang Province, with an average annual value ranging from 202.9 to 586.4mm/season. The annual average shows a decreasing distribution pattern from east to west. By analyzing the spatial distribution pattern of rice irrigation water demand in the southeastern coastal areas of Zhejiang, targeted irrigation management strategies are proposed, which can provide scientific basis for irrigation water management in Wenzhou, Taizhou, and Ningbo.

Published
2024
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50. The structure of the space of ergodic measures of transitive partially hyperbolic sets

Author

Díaz, Lorenzo J., Gelfert, Katrin, Marcarini, Tiane, and Rams, Michał

Subjects
Mathematics - Dynamical Systems, 37D25, 28D20, 28D99, 37D30, 37C29
Abstract

We provide examples of transitive partially hyperbolic dynamics (specific but paradigmatic examples of homoclinic classes) which blend different types of hyperbolicity in the one-dimensional center direction. These homoclinic classes have two disjoint parts: an "exposed" piece which is poorly homoclinically related with the rest and a "core" with rich homoclinic relations. There is an associated natural division of the space of ergodic measures which are either supported on the exposed piece or on the core. We describe the topology of these two parts and show that they glue along nonhyperbolic measures. Measures of maximal entropy are discussed in more detail. We present examples where the measure of maximal entropy is nonhyperbolic. We also present examples where the measure of maximal entropy is unique and nonhyperbolic, however in this case the dynamics is nontransitive.

Published
2018

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