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List of 403 Keywords Related to Visual Impairment, Ocular Diseases and Eye Conditions
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Data from: How innovative are new drugs launched in the UK? A retrospective study of new drugs listed in the British National Formulary (BNF) 2001-2012
Objectives: Innovative new drugs offer potential benefits to patients, healthcare systems, governments and the pharmaceutical industry. Recent data suggest annual numbers of new drugs launched in the UK have increased in recent years, and we sought to understand whether this represents increasing numbers of highly innovative drugs being made available or the introduction of increasing numbers of drugs with limited additional therapeutic value. Design and setting: Retrospective observational study of new drug entries in the British National Formulary (BNF). Primary and secondary outcome measures: Number of new drugs launched in the UK each year (based on first appearance in the BNF) from 2001 to 2012, including new chemical entities and new biological drugs, categorised by degree of innovativeness according to published criteria that incorporate both clinical usefulness and the nature of the innovation. Results: Highly innovative, moderately innovative and slightly innovative drugs made up 26%, 18% and 56% of all newly launched drugs, respectively, for the study period (n=290). There was an upward trend in annual numbers of slightly innovative drugs from 2004 onwards (R2=0.44), which aligned closely with the recovery in total numbers of new drugs launched each year since that time. There were no discernible time trends in the highly or moderately innovative categories. New drugs for malignancy and skin disease were most likely to be characterised as highly innovative (44% and 57%, respectively). Conclusions: Highly innovative new drugs comprise only around a quarter of all new drug launches in the UK. In contrast, drugs categorised as only slightly innovative comprised well over half of all new drugs and annual numbers in this category are increasing. Current policy initiatives that seek to increase the supply of innovative new drugs have long-lead times to impact, and will need careful assessment to ensure they deliver their aims without unintended consequences.
Figure 6 in The family Dolichopodidae (Diptera) of the Arabian Peninsula: identification key, an updated list of species and new records from Saudi Arabia
Figure 6. Dolichopodid species habitus: a – Micromorphus albipes (Zetterstedt); b – Condylostylus longicornis (Fabricius); c – Sympycnus basilaris (Curran); e – Syntormon pallipes (Fabricius); d – Syntormon pumilus (Meigen).
Figure 5 in The family Dolichopodidae (Diptera) of the Arabian Peninsula: identification key, an updated list of species and new records from Saudi Arabia
Figure 5. Dolichopodid species habitus: a – Thinophilus indigenus Becker; b – Thinophilus ochripalpis Becker; c – Thinophilus promotus Becker; d – Thinophilus spinulosus Parent; e – Medetera grisescens De Meijere; f – Micromorphus aereus (Vaillant).
Figure 3 in The family Dolichopodidae (Diptera) of the Arabian Peninsula: identification key, an updated list of species and new records from Saudi Arabia
Figure 3. Dolichopodid species habitus: a – Asyndetus albifrons Parent; b – Chrysotus suavis Loew; c – Cryptophleps buttikeri Grichanov; d – Diaphorus hoffmannseggi Meigen.
Figure 4 in The family Dolichopodidae (Diptera) of the Arabian Peninsula: identification key, an updated list of species and new records from Saudi Arabia
Figure 4. Dolichopodid species habitus: a – Argyrochlamys cavicola (Parent); b – Hercostomus plagiatus (Loew); c – Tachytrechus brittoni Grichanov; d – Tachytrechus notatus (Stannius).
Figure 1 in The family Dolichopodidae (Diptera) of the Arabian Peninsula: identification key, an updated list of species and new records from Saudi Arabia
Figure 1. The most sampled sites: a – Jazan, Abu Aresh, Al-Mahdag village (Photo by Habib Khemira); b – Jazan, Um Al-Raq Island; c – Asir, Maraba, Al-Hudaithy Fruit Farm; d – Asir, Karatha, Al-Ethrebany Fruit Farm; e – Asir, Abha, Hay Al-Nusub; f – Asir, Al-Souda, Al-Muqtha Dam (Photos by Othman M. Abdullah).
FIGURES 5–9. 5 in Stictodora cablei n. sp. (Digenea: Heterophyidae) from the royal tern, Sterna maxima (Laridae: Sterninae) from Puerto Rico and the Brazos County area of the Texas Gulf coast, U.S.A., with a list of other endohelminths recovered in Texas
FIGURES 5–9. 5. Angularella sp., Scolex. 6. Angularella sp., rostellum. 7. Angularella sp., dorsal view of mature proglottid. 8. Unknown genus & species of Dilepididae, scolex without rostellar hooks. 9. Unknown genus & species of Dilepididae, dorsal view of mature proglottid. Abbreviations N, neck; O, ovary; R, rostellum; RG rostellar gland; S, seminal receptacle; T, testis; V, vitellarium. Scale bars: 5, 230µm; 6, 60µm; 7, 180µm; 8, 340 µm; 9, 38 µm.
FIGURES 1–4. 1. Stictodora cablei n in Stictodora cablei n. sp. (Digenea: Heterophyidae) from the royal tern, Sterna maxima (Laridae: Sterninae) from Puerto Rico and the Brazos County area of the Texas Gulf coast, U.S.A., with a list of other endohelminths recovered in Texas
FIGURES 1–4. 1. Stictodora cablei n. sp., ventral view of adult. 2. Stictodora cablei n. sp., composite drawing of terminal genitalia and acetabulogenital complex; 3. Stictodora cablei n. sp., photograph of the acetabulum; 4. Stictodora acanthotrema, photograph of the acetabulum. Abbreviations: A, acetabulum; GA, genital atrium; GP, genital pore; LP, large pad; O, ovary; PA, papilliform arm-like structures; SP, small pad; SV, seminal vesicle; T, testis; U, uterus. Scale bars: 1, 170µm; 2, 50µm.
FIGURE 10 in Stictodora cablei n. sp. (Digenea: Heterophyidae) from the royal tern, Sterna maxima (Laridae: Sterninae) from Puerto Rico and the Brazos County area of the Texas Gulf coast, U.S.A., with a list of other endohelminths recovered in Texas
FIGURE 10. Cercarioides cochleariformes, ventral view of adult. A, acetabulum; O, ovary; T, testis; U, uterus; W, lateral wing-like expansions of forebody. Scale bar: 10, 580µm.
Cannot see the diversity for all the species: evaluating inclusion criteria for local species lists when using abundant citizen science data
Abundant citizen science data on species occurrences is becoming increasingly available and enables identifying composition of communities occurring at multiple sites with high temporal resolution. However, for species displaying temporary patterns of local occurrences, i.e. that are transient to some sites, biodiversity measures are clearly dependent on the criteria used to include species into local species lists. Using abundant opportunistic citizen science data from frequently visited wetlands we investigated the sensitivity of α- and β-diversity estimates to the use raw vs. detection-corrected data and to the use of inclusion criteria for species presence reflecting alternative site use. We tested 7 inclusion criteria (with varying number of days required to be present) on time series of daily occurrence status during a breeding season of 90 days for 77 wetland bird species. We show that even when opportunistic presence-only observation data is abundant, raw data may not produce reliable local species richness estimates and rank sites very differently in terms of species richness. Furthermore, occupancy model based - and - diversity estimates were sensitive to the inclusion criteria used. Total species lists (all species observed at least once during a season) may therefore mask diversity differences among sites in local communities of species, by e.g. including vagrant species on potentially breeding communities and change the relative rank order of sites in terms of species richness. Very high sampling effort does not necessarily free opportunistic data from its inherent bias and can produce a pattern in which many species are observed at least once almost everywhere, thus leading to a possible paradox: the large amount of biological information may hinder its usefulness. Therefore, when prioritizing among sites to manage or preserve species diversity estimates need to be carefully related to relevant inclusion criteria depending on the diversity estimate in focus.
List of documents and patterns identified by multivocal literature review of software engineering patterns for machine learning applications
We performed a multivocal literature review of both academic and gray literature to collect software engineering for machine learning (ML) application systems and software design. For the academic literature, we chose Engineering Village. For the gray literature, we used a Google search on August 16, 2019. We retrieved 32 scholarly documents and 48 gray literature documents. We vetted whether each document should be included in our review using the following criteria: Documents written in English addressing concrete software-engineering patterns or practices to design ML application systems and software should be included. Documents focusing on design of ML techniques and algorithms should be excluded. This process identified 19 scholarly documents and 19 gray documents. Although 69 patterns related to the design of ML application systems were initially identified, 33 remained after the vetting process. Finally, industrial ML developers reviewed the 33 candidates from the viewpoint of practical usefulness. They identified only 15 ML patterns.
IO500 ISC21 Lists
<p>These are the IO500 lists published during ISC21.</p>
Figure 7 in First record of the genus Stenotus Jakovlev from Australia, with two new species, and a list of mirine species from Witchelina Nature Reserve (Insecta: Heteroptera: Miridae: Mirinae: Mirini)
Figure 7. Habitus view of other Mirini, found in Witchelina Nature Reserve: Chimsunchartella schwartzi, Creontiades dilutus and Taylorilygus apicalis (male and female of each species).
Figure 1 in First record of the genus Stenotus Jakovlev from Australia, with two new species, and a list of mirine species from Witchelina Nature Reserve (Insecta: Heteroptera: Miridae: Mirinae: Mirini)
Figure 1. Habitus view of Stenotus gressitti, Stenotus witchelina and Stenotus binotatus (male and female of each species).
Figure 5 in First record of the genus Stenotus Jakovlev from Australia, with two new species, and a list of mirine species from Witchelina Nature Reserve (Insecta: Heteroptera: Miridae: Mirinae: Mirini)
Figure 5. Male genitalia. Stenotus binotatus: (A) inflated aedeagus, dorsal view; (B) right paramere, dorsal view; (C) left paramere, posterior view; (D) left paramere, dorsal view; (E) genital capsule, dorsal view.
Figure 4 in First record of the genus Stenotus Jakovlev from Australia, with two new species, and a list of mirine species from Witchelina Nature Reserve (Insecta: Heteroptera: Miridae: Mirinae: Mirini)
Figure 4. Male genitalia. Stenotus gressitti: (A) inflated aedeagus, dorsal view; (B) right paramere, dorsal view; (C) left paramere, posterior view; (D) left paramere, dorsal view; (E) genital capsule, dorsal view. Stenotus witchelina: (F) inflated aedeagus, dorsal view; (G) right paramere, dorsal view; (H) left paramere, posterior view; (I) left paramere, dorsal view; (J) genital capsule, dorsal view.
Figure 6 in First record of the genus Stenotus Jakovlev from Australia, with two new species, and a list of mirine species from Witchelina Nature Reserve (Insecta: Heteroptera: Miridae: Mirinae: Mirini)
Figure 6. Female genitalia. Stenotus gressitti: (A) dorsal labiate plate; (D) posterior wall of bursa copulatrix. Stenotus witchelina: (B) dorsal labiate plate; (E) posterior wall of bursa copulatrix. Stenotus binotatus: (C) dorsal labiate plate; (F) posterior wall of bursa copulatrix.
Figure 3 in First record of the genus Stenotus Jakovlev from Australia, with two new species, and a list of mirine species from Witchelina Nature Reserve (Insecta: Heteroptera: Miridae: Mirinae: Mirini)
Figure 3. Scanning electron micrographs. Stenotus gressitti: (A) hind tarsus; (C) pretarsus, lateral view; (D) abdomen, lateral view; (F) pretarsus, dorsal view; (G) pretarsus, ventral view; (H) evaporatorium. Stenotus witchelina: (B) hind tarsus; (E) abdomen, lateral view; (I) evaporatorium.
Figure 2 in First record of the genus Stenotus Jakovlev from Australia, with two new species, and a list of mirine species from Witchelina Nature Reserve (Insecta: Heteroptera: Miridae: Mirinae: Mirini)
Figure 2. Scanning electron micrographs. Stenotus gressitti: (A) head of male, anterior view; (B) head and pronotum of male, dorsal view; (E) head and pronotum of female, lateral view; (I) vestiture on hemelytra. Stenotus witchelina: (C) head and pronotum of male, dorsal view; (D) head of male, anterior view; (F) head and pronotum of female, lateral view; (G) head of female, anterior view; (H) head of female, lateral view.
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.