2,324 research outputs found
Drake-Brockman, Jf, [No Service Number]
No full textThis record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/382615Surname: DRAKE-BROCKMAN. Given Name(s) or Initials: JF. Military Service Number or Last Known Location: [No Registration Number]. Missing, Wounded and Prisoner of War Enquiry Card Index Number: 11348.213884
Item: [2016.0049.14908] "Drake-Brockman, Jf, [No Service Number]
I'm a celebrity, get me into politics: the political celebrity and the celebrity politician
No full textThis chapter discusses the political celebrity and the celebrity politician
Business Model Innovation of JF Logistics Company
No full text摘要 随着全球化经济的发展，市场竞争变得越来越复杂。信息时代使得物流供应链管理已上升到企业的战略管理高度。在这样的背景下，本文应用翁君奕老师的介观商务模式创新观点，对JF物流公司所处行业现状进行剖析，重新审视了外部客户市场以及内部自身情况，找出了JF物流公司自身的优势，并结合外部市场客户的需求，提出了“为客户提供个性化的集物流、资金流、信息流于一体的供应链物流服务”这一价值主张，并在此基础上，重新定位客户市场，创新服务产品，理顺内部管理架构和业务流程以支撑和保持这一价值主张。文中同时以例证来说明依据新价值主张所创新的服务产品给JF物流公司所带来的变化，以此说明通过商务模式创新来实行自身的战略...Abstract With the development of the global economy, the competition in market becomes more complicated. In the era of information, logistics and supply chain management is regarded as important as part of the company strategy. Under such background , the author of this essay uses the concept of “JieGuan Business Model Innovation” proposed by Professor Weng Junyi of Xiamen University, and analy...学位：管理学硕士院系专业：管理学院高级经理教育中心（EMBA项目）_管理经济学学号：X200615614
Temporal and spatial variability in speakers with Parkinson's Disease and Friedreich's Ataxia
No full textSpeech variability in groups of speakers with Parkinson's disease (PD) and with Friedreich's ataxia was compared with healthy controls. Speakers repeated the same phrase 20 times at one of two rates (fast or habitual). A non-linear analysis of variability was performed which used some of the principles behind the spatio-temporal index (STI). The STI usually employs variation in lip displacement over repetitions of the same utterance and a linear analysis of such signals is conducted to represent the combined variation in spatial and temporal control. When working with patients, audio measures (here we used speech energy) are preferred over kinematics ones as they are minimally disruptive to speech. Non-linear methods allow spatial variability to be estimated separately from temporal variability. The results are tentatively interpreted as showing that PD speakers were distinguished from healthy control speakers in spatial variability and ataxic speakers were distinguished from controls in temporal variability. These findings are consistent with the speech symptoms reported for these disorders. We conclude that the non-linear analysis using the speech energy measure is worth investigating further as it is potentially revealing of the differences underlying these two pathologies
Additional file 6 of Prevalence of chronic cough in China: a systematic review and meta-analysis
No full textAdditional file 6. Fig. S1. Distribution of children with chronic cough across Mainland China. NOTE: Red star in the map represents Beijing City. The map was developed in XL Toolbox NG by ourselves, without the conflict of copyright. Fig. S2. Pooled chronic cough prevalence of adults stratified by region. Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S3. Pooled chronic cough prevalence of adults stratified by diagnostic criteria. Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S4. Pooled chronic cough prevalence of adults stratified by year of publication. Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S5. Pooled chronic cough prevalence of adults stratified by age. Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S6. Pooled chronic cough prevalence of adults stratified by sampling methods. Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S7. Pooled chronic cough prevalence of adults stratified by sample size. Abbreviations: CI, confidence intervals; ES, Effect Size. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S8. Pooled chronic cough prevalence of adults stratified by prevalence definitions. Abbreviations: CI, confidence intervals; ES, Effect Size. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S9. Pooled chronic cough prevalence of adults stratified by chronic cough definitions. Abbreviations: CI, confidence intervals; ES, Effect Size. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S10. Pooled chronic cough prevalence of adults stratified by quality of articles assessed by AHRQ. Abbreviations: CI, confidence intervals; ES, Effect Size. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S11. Pooled chronic cough prevalence of children stratified by region. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S12. Pooled chronic cough prevalence of children stratified by diagnostic criteria. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S13. Pooled chronic cough prevalence of children stratified by year of publication. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S14. Pooled chronic cough prevalence of children stratified by sample size. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S15. Pooled chronic cough prevalence of children stratified by chronic cough definitions. Abbreviations: CI, confidence intervals; ES, Effect Size. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S16. Pooled chronic cough prevalence of children stratified by quality of articles assessed by AHRQ. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S17. Pooled chronic cough prevalence of children stratified by prevalence definitions. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S18. Funnel plot for prevalence in studies of adults for chronic cough. Fig. S19. Sensitivity analysis for prevalence in studies of adults for chronic cough. Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S20. The prevalence of chronic cough in adults after exclusion of the nationwide study (Li JC 2018). Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S21. The prevalence of chronic cough in adults after exclusion of the low prevalence study (ZHANG JF 1999). Abbreviations: CI, confidence intervals. NOTE: The two author labels of ZHANG JF 1999 are from the same literature, and the two author labels of Venners 2001 are from the same literature. Fig. S22. Funnel plot for prevalence in studies of children for chronic cough. Fig. S23. Sensitivity analysis for prevalence in studies of children for chronic cough. Abbreviations: CI, confidence intervals. NOTE: The four author labels of ZHANG JF 2002 are from the same literature. Fig. S24. Pooled prevalence of chronic cough in China (including adults and children). Abbreviations: CI, confidence intervals. NOTE: The three author labels of ZHANG JF 1999 are from the same literature, the two author labels of Venners 2001 are from the same literature, and the four author labels of ZHANG JF 2002 are from the same literature
Method development for enhanced antifouling testing using novel natural products against marine biofilms
No full textMarine biofouling is the accumulation of organisms on underwater surfaces, causing increased ship hydrodynamic drag, which results in higher fuel consumption and decreased speed and range. Biofilms constitute a major component of the overall biofouling and may lead to a 14 % increase in ship fuel costs. Past solutions to antifouling (AF) have used toxic coatings which have subsequently been shown to severely affect marine life. The prohibited use of these antifoulants has led to the search for bio-inspired AF strategies. Current approaches towards the production of alternative coatings include the incorporation of natural AF compounds into paints.Screening assays for novel AF compounds are often separated into two categories; toxicity and AF assays. Increasingly there is evidence that active compounds affect organisms at non-toxic concentrations, hence, the necessity for more insightful AF testing, such as bacterial and diatom attachment. This study assessed natural product (NP) antifouling performance of two marine seaweeds (Chondrus crispus and Bifurcaria bifurcata) and two isolated pure compounds from terrestrial sources (usnic acid and juglone) against two marine biofilm bacteria, Cobetia marina and Marinobacter hydrocarbonoclasticus. Overall it was found that all NPs affected bacterial attachment, however, juglone demonstrated the best AF performance against both bacterial species at a concentration range between 5 - 20 ppm.Biofilm colonisation is a surface related phenomenon, thus novel bioassays have been developed to directly test biofilm attachment and growth on NP-containing coatings for both static and hydrodynamic conditions. This study has incorporated NPs into a model coating system, using two formulations in order to assess their effect on biofilm growth. Laboratory screening of NP-containing coatings is often largely unexplored mainly due to difficulties in assessing their activity over short experimental time scales (typically only a maximum of a few days). To date there are only a limited number of reports on laboratory assessment for antifouling paints and their effect on biofilm growth and/or attachment. In this study, NP-containing model paints were applied on to coupons, placed in 24-well plates and then inoculated with the marine biofilm forming bacteria. This has been achieved by the development of a novel bioassay protocol that has allowed the in situ observation of biofilm formation and growth, by corroborating different techniques such as a multidetection microplate reader and confocal laser scanning microscopy (through nucleic acid staining). There was good correlation between the two techniques which showed that the NP containing coatings significantly inhibited biofilm growth and also revealed marked differences in biofilm structure (e.g. bio-volume, morphology and thickness). The goal of this study was to develop a new protocol to allow assessment of biofilm formation on coatings in a high throughput non-invasive manner.New protocols and methods using microfluidic devices were developed for the assessment of bacterial attachments and initial biofilm formation in the presence and absence of a NP under hydrodynamic conditions. This led to the development and fabrication of a novel lab-on-a-chip device for the investigation of the biofilm response to different hydrodynamic conditions. The microfluidic flow channels were designed using computational fluid dynamic simulations so as to have a pre-defined, homogeneous wall shear stress in the channels, ranging from 0.03 to 4.30 Pa, which are relevant to in-service conditions on a ship hull
Joint faulting behaviour of innovative short concrete slabs
No full textPavements are one of the largest assets of a city and their functional condition (ride quality) is priority for their clients. In jointed plain concrete pavements (JPCPs), the presence of joint faulting (JF) reduces the ride quality. Today, short slabs are available as a cost-effective JPCP innovation. The objective of this paper is to analyse the JF behaviour of JPCPs with short slabs. For this, a deterioration model to predict it and trends of JF observed in short slabs of Chile and the United States are considered. The HDM-4 model always yields lower JF per joint in short slabs than in traditional ones. However, real-world short slabs show not only lower JF per joint (that the modelled JF), but also that more joints do not necessarily mean more JF per length of pavement that affect the ride quality. One of the relevant explanatory factors for it is the radical reduction of crack width at joints, which produces a fundamental increase of the load transfer efficiency. To maintain favourable behaviour observed in the field it is recommended to assure joint activation and to provide adequate stiffness of the layers below the short slabs.Pavement Engineerin
Metabolism of archidonic acid by 5-lipoxygenase in guinea-pig lung
No full textPT: J; CR: BURKA JF, 1981, PROSTAG OTH LIPID M, V22, P683 BURKA JF, 1983, J PHARMACOL EXP THER, V225, P427 PARKER CW, 1982, BIOCHEM BIOPH RES CO, V109, P1011 SAAD MH, 1983, PROSTAGLANDINS, V25, P741 SAAD MH, 1984, EUR J PHARMACOL, V100, P13 SCHIANTARELLI P, 1981, EUR J PHARMACOL, V73, P363; NR: 6; TC: 6; J9: PROSTAGLANDINS; PG: 2; GA: TU225Source type: Electronic(1
Limnogonus aduncus subsp. aduncus Drake & Harris 1933
No full text<i>Limnogonus aduncus aduncus</i> Drake & Harris, 1933 <p>Figs. 6C, 7C</p> <p> <b>Diagnosis.</b> Body length 7.5–9.0 mm; antennomere I longer than head width through eyes; mesopleuron dorsally dark, with a lighter stripe on center; male abdominal segment VIII with single recurved projection ventrally; posterior projection of female last abdominal laterotergite well-developed (Nieser & Melo 1997).</p> <p> <b>New records.</b> BRAZIL — <b>Espírito Santo</b> • Águia Branca, Sítio Dona Leulália, Do Ouro Stream; −18.9420, −40.6866; 28. III.2009; FFF Moreira leg.; 1 male, 1 female, UFVB • Colatina, pond; alt. 218 m; −19.3216, −40.5432; 25. VI.2022; JC Santos, JMS Rodrigues, NO Paiva, N Nery, CL Rodrigues leg.; 1 male, CEIOC 82175 • Colatina, Pancas River; alt. 93 m; −19.2986, −40.7176; 25. VI.2022; JC Santos, JMS Rodrigues, NO Paiva, N Nery, CL Rodrigues leg.; 1 male, CEIOC 82176 • Conceição da Barra, Reserva Biológica do Córrego Grande, weir and stream; alt. 44 m; −18.2692, −39.7814; 25. IV.2023; JMS Rodrigues, NO Paiva, FFF Moreira, IS Medeiros, CL Rodrigues leg.; 6 males, 3 females, CEIOC 82907 • Conceição da Barra, Reserva Biológica do Córrego Grande, swamp; alt. 44 m; −18.2692, −39.7814; 25. IV.2023; JMS Rodrigues, NO Paiva, FFF Moreira, IS Medeiros, CL Rodrigues leg.; 1 female, CEIOC 82908 • Ecoporanga, Lajeado Stream; alt. 187 m; −18.2178, −40.5805; 21. IV.2023; JMS Rodrigues, NO Paiva, FFF Moreira, IS Medeiros, CL Rodrigues leg.; 1 male, 1 female, CEIOC 82904 • Guarapari, Buenos Aires Waterfall; alt. 283 m; −20.5878, −40.5560; 24. III.2022; JC Santos, JMS Rodrigues, NO Paiva, B Clarkson leg.; 2 males, CEIOC 81817 • Ibatiba, weir; alt. 782 m; −20.2602, −41.6068; 22. III.2022; JC Santos, JMS Rodrigues, NO Paiva, B Clarkson leg.; 2 males, 2 females, CEIOC 81818 • Pancas, Monumento Natural dos Pontões Capixabas, Sítio Santa Maria, weir; alt. 225 m; −19.1765, −40.7844; 24. VI.2022; JC Santos, JMS Rodrigues, NO Paiva, N Nery, CL Rodrigues leg.; 1 male, 1 female, CEIOC 82177 • Pedro Canário, river; alt. 28 m; −18.2239, −39.9447; 22. IV.2023; JMS Rodrigues, NO Paiva, FFF Moreira, IS Medeiros, CL Rodrigues leg.; 1 male, CEIOC 82906 • Pinheiros, Reserva Biológica Córrego do Veado, stream, alt. 74 m; −18.3713, −40.1416; 24. IV.2023; JMS Rodrigues, NO Paiva, FFF Moreira, IS Medeiros, CL Rodrigues leg.; 8 males, 5 females, CEIOC 82905 • Pinheiros, Reserva Biológica Córrego do Veado, muddy stream; alt. 98 m; −18.3612, −40.1665; 24. IV.2023; JMS Rodrigues, NO Paiva, FFF Moreira, IS Medeiros, CL Rodrigues leg.; 1 female, CEIOC 82909 • Santa Teresa, Reserva Biológica Augusto Ruschi, weir and stream; alt. 834 m; −19.8967, −40.5236; 22. VI.2022; JC Santos, JMS Rodrigues, NO Paiva, N Nery, CL Rodrigues leg.; 2 males, CEIOC 82178 • Santa Teresa, weir, alt. 823 m; −19.9356, −40.6693; 23. VI.2022; JC Santos, JMS Rodrigues, NO Paiva, N Nery, CL Rodrigues leg.; 1 female, CEIOC 82179 • São Mateus, Bairro Aroeira, São Lázaro Ranch, spring / artificial dam; −18.7231, −39.9117; 10. II.2009; JA Rúdio, APM Santos leg.; 3 males, UFVB • São Mateus, CEUNES, Canivete Stream; [−18.673, −39.863]; 29.IX.2015; 2 males, UFVB • Sooretama, Reserva Biológica de Sooretama, Rodrigues Stream; −19.0269, −40.2276; 23.IV.2015; FFF Moreira, IRS Cordeiro, A Khila, S Viala leg.; 2 males, 3 females, CEIOC 21230 • Sooretama, Reserva Biológica de Sooretama, Bom Jardim Waterfall; −18.9990, −40.2344; 29.IV.2009; FFF Moreira leg.; 3 males, UFVB • Same except Da Estrada do Meio Stream; [−19.002, −40.146]; 14. VII.2008; 2 males, UFVB • Same except stream; alt. 88 m; −19.0452, −40.1779; 27. VI.2022; JC Santos, JMS Rodrigues, NO Paiva, N Nery, CL Rodrigues leg.; 3 males, 1 female, CEIOC 82180 • Same except weir; alt. 68 m; −19.0354, −40.1584; 26. VI.2022; 5 males, 3 females, CEIOC 82181 • Same except puddle on the mud; alt. 30 m; −18.9704, −40.1168; 26. VI.2022; 2 males, CEIOC 82182 • Same except Cupido Stream, between −19.0712, −40.1236 and −19.0637, −40.1113; alt. 50 m; −19.0712, −40.1236; 26. VI.2022; 2 males, 1 female, CEIOC 82183.— <b>Minas Gerais</b> • Pimenta, Santo Hilário, Furnas Dam; −20.6664, −45.8344; 30. IV.2015; FFF Moreira, IRS Cordeiro, A Khila, S Viala leg.; 1 male, 8 females, CEIOC 21231.— <b>Rio de Janeiro</b> • Campos dos Goytacazes, pond under the bridge on road to Mocotó; −21.8821, −41.7261; 18.IX.2016; LL Dumas, JL Nessimian, CS Portela, JF Barbosa leg.; 1 female, CEIOC 76988 • Casimiro de Abreu, Reserva Biológica União, triburary to the weir; −22.4278, −42.0424; 11. V.2016; JF Barbosa, LL Dumas, JL Nessimian leg.; 1 male, 1 female, CEIOC 76984 • Mendes, Colégio Marista São José das Paineiras; −22.514, −43.755; 15–19. V.2013; L Silveira leg.; 1 female, CEIOC 76987 • Miguel Pereira, Francisco Fragoso, colônia de férias dos rodoviários, weir; −22.4871, −43.4724; 11.XI.2016; JF Barbosa, LL Dumas, B Clarkson, JL Nessimian leg.; 1 male, CEIOC 76983 • Same except road from Francisco Fragoso to Arcádia; −22.5325, −43.4826; 11.XI.2016; 2 males, 1 female, CEIOC 76991 • Nova Iguaçu, Reserva Biológica do Tinguá, CEDAE dam; −22.5873, −43.4369; 12.IX.2016; JF Barbosa, LL Dumas, JL Nessimian leg.; 2 males, 1 female, CEIOC 76986 • Rio das Ostras, Reserva Biológica União, near lodge; −22.4265, −42.0397; 30. V.2016; JF Barbosa, LL Dumas, JL Nessimian leg.; 1 male, 1 female, CEIOC 76992 • Rio de Janeiro, FIOCRUZ, lake close to main gate on Brasil Avenue; −22.8762, −43.2424; 28. VIII.2018; M Felix leg.; 1 female, CEIOC 76981 • Santa Maria Madalena, Horto Central Florestal Santos Lima, weir; −21.9510, −42.0106; 20.X.2016; JF Barbosa, LL Dumas, JL Nessimian leg.; 1 male, 1 female, CEIOC 76990 • Silva Jardim, Juturnaíba Dam; −22.5865, −42.2684; 24. III.2015; FFF Moreira, IRS Cordeiro, JMS Rodrigues, TS Martins leg.; 1 female, CEIOC 21227 • Sumidouro, Boa Vista Farm, weir; −22.1108, −42.6476; 29.IX.2016; JF Barbosa, LL Dumas, JL Nessimian leg.; 1 male, 1 female, CEIOC 76993 • Same except Bela Joana, pond; −22.0169, −42.6664; 28.IX.2016; 1 male, 3 females, CEIOC 76985 • Valença, Barão de Juparanã, Parque Estadual da Serra da Concórdia, pond near bamboos; −22.3497, −43.7051; 21. V.2016; JF Barbosa, LL Dumas, JL Nessimian leg.; 3 males, 1 female, CEIOC 76982.</p> <p> <b>Distribution in Brazil.</b> AL, AM, BA, CE, ES, MG, MS, MT, PA, PR, PE, PI, RJ, RR, SC, SE, SP.</p>Published as part of <i>Rodrigues, Juliana Mourão Dos Santos, Cordeiro, Isabelle Da Rocha Silva, Floriano, Carla Fernanda Burguez, Paiva, Nathália De Oliveira, Magalhães, Oséias Martins, Júnior, Evaldo Alves Joaquim, Martins, Thaynara De Souza, Silva, Rafaella Cardoso Da, Siqueira, Gabriel Vieira, Salles, Frederico Falcão, Viala, Séverine, Khila, Abderrahman & Moreira, Felipe Ferraz Figueiredo, 2023, Descriptions of new species and new records of water bugs (Hemiptera: Heteroptera: Gerromorpha & Nepomorpha) from southeastern Brazil, pp. 1-86 in Zootaxa 5393 (1)</i> on pages 13-14, DOI: 10.11646/zootaxa.5393.1.1, <a href="http://zenodo.org/record/10437804">http://zenodo.org/record/10437804</a>
Lonnie Edwards Oral History
No full textLonnie Edwards was born in Madison County, Alabama on December 6th 1942. He attended high school at a local school in Madison County. He had basic training at Fort Rally Camp before being sent over to Vietnam. After he came back from Vietnam he went to trade school at JF Drake in Huntsville and worked with PPJN Industries. He married and had children and later got divorced and remarried. They are both retired and living in Madison County
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