bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pangola stunt virus
. [Distribution map].
Authors: UK, CAB International  
Published: August 2021

Abstract

A new distribution map is provided for
Pangola stunt virus
Dirven & Van Hoof. Hosts: Digitaria decumbens. Information is given on the geographical distribution in ASIA, Malaysia (Malaya; Sabah, Sarawak), AUSTRALASIA & OCEANIA, Fiji, SOUTH AMERICA, Guyana, Peru, Surinam.
Spilocaea pyracanthae
. [Distribution map].
Authors: UK, CAB International  
Published: August 2021

Abstract

A new distribution map is provided for
Spilocaea pyracanthae
(Otth) Arx. Hosts: Loquat (
Eriobotrya japonica
), Medlar (
Mespilus germanica
). Information is given on the geographical distribution in AFRICA, Egypt, Morocco, South Africa, ASIA, Iran, Israel, Lebanon, Turkey, USSR, AUSTRALASIA & OCEANIA, Australia, New Zealand, EUROPE, Britain (England), Cyprus, France (Mediterranean & Maritime Alps), Germany, Greece, Italy, Portugal, Spain, Switzerland, USSR (Caucasus), Yugoslavia, NORTH AMERICA, Bermuda, Canada, USA (Widespread), SOUTH AMERICA, Argentina, Uruguay.
Gnomonia fragariae
. [Distribution map].
Authors: UK, CAB International  
Published: August 2021

Abstract

A new distribution map is provided for
Gnomonia fragariae
Kleb. Hosts: Strawberry (
Fragaria spp
.). Information is given on the geographical distribution in ASIA, Israel, AUSTRALASIA & OCEANIA, Australia, New Zealand, EUROPE, Belgium, Britain, France, Germany, Hungary, Romania, Spain, NORTH AMERICA, Canada (British Columbia), USA.
Chrysomyxa arctostaphyli
. [Distribution map].
Authors: UK, CAB International  
Published: August 2021

Abstract

A new distribution map is provided for
Chrysomyxa arctostaphyli
Diet. Hosts: Picea and Arctostaphylos spp. Information is given on the geographical distribution in NORTH AMERICA, Canada - Alberta British Columbia Manitoba New Brunswick Newfoundland Northwest Territory Nova Scotia Ontario Quebec Saskatchewan Yukon Territory United States - Alaska Arizona Colorado Idaho Maine Michigan Montana New Mexico New York Oregon South Dakota Utah Washington Wisconsin Wyoming.
Sclerotinia borealis
. [Distribution map].
Authors: UK, CAB International  
Published: August 2021

Abstract

A new distribution map is provided for
Sclerotinia borealis
Bubák & Vleugel. Hosts: Cereals and grasses. Information is given on the geographical distribution in ASIA, Japan, U.S.S.R (Soviet Far East, Sverdlovsk), EUROPE, Finland, Norway, Sweden, USSR (Gorki; Kirov; Leningrad; Ukraine), NORTH AMERICA, Canada (B.C., Yukon), United States (Alaska, Washington State).
Elsinoe batatas
. [Distribution map].
Authors: UK, CAB International  
Published: August 2021

Abstract

A new distribution map is provided for
Elsinoe batatas
(Saw.) Viegas & Jenkins. Hosts: Sweet potato (
Ipomoea batatas
). Information is given on the geographical distribution in ASIA, Brunei, China, Hong Kong, Indonesia, Japan, Malaysia, Taiwan, AUSTRALASIA & OCEANIA, Caroline Islands, Fiji, Guadalcanal, Guam, New Britain, New Caledonia, New Hebrides, Papua New Guinea, Solomon Islands, Tonga, NORTH AMERICA, Mexico, SOUTH AMERICA, Brazil (Sao Paulo, Bahia, Campinas, Algoinhas, Rio Grande).
Cronartium harknessii
. [Distribution map].
Authors: UK, CAB International  
Published: August 2021

Abstract

A new distribution map is provided for
Cronartium harknessii
[Endocronartium harknessii]
(J. P. Moore) Meinecke. Hosts: Pine (Pinus spp.). Information is given on the geographical distribution in NORTH AMERICA, Canada, Mexico (Northern), USA (California).
Hypoxylon mammatum
. [Distribution map].
Authors: UK, CAB International  
Published: August 2021

Abstract

A new distribution map is provided for
Hypoxylon mammatum
(Wahl.) Miller. Hosts: Aspen and poplar (Populus spp.). Information is given on the geographical distribution in EUROPE, Czechoslovakia, USSR (Ukraine), NORTH AMERICA, Canada, United States (New England, Great Lake and western states).
Septoria helianthi
. [Distribution map].
Authors: UK, CAB International  
Published: August 2021

Abstract

A new distribution map is provided for
Septoria helianthi
Ell. & Kell. Hosts: Sunflower (Helianthus spp.). Information is given on the geographical distribution in AFRICA, Ethiopia, Kenya, Malawi, Mozambique, Rhodesia, South Africa, Tanzania, Uganda, Zambia, ASIA, China, Japan (Kanagawa), USSR (Far East), AUSTRALASIA & OCEANIA, Australia (Queensland), EUROPE, Germany, Hungary, Romania, USSR, Yugoslavia, NORTH AMERICA, Canada, USA.
Monographella albescens
. [Distribution map].
Authors: UK, CAB International  
Published: August 2021

Abstract

A new distribution map is provided for
Monographella albescens
(Thum.) Parkinson, Sivanesan & Booth. Hosts: Rice (
Oryza sativa
). Information is given on the geographical distribution in AFRICA, Ghana, Ivory, Liberia, Nigeria, Sierra Leone, Tanzania, Zambia, ASIA, Bangladesh, Brunei, Burma, India (Kerala), (Maharastra), (Arunachal Pradesh, Assam, Meghalayay, Manipur, Nagaland, Mizaram, Sikkim, Tripura), (Andhra Pradesh), Indonesia (Celebes), Japan, Peninsular Malaysia, (Sarawak), Thailand, AUSTRALASIA & OCEANIA, Australia, Fiji, Guadalcanal (Solomon Islands), Papua New Guinea, EUROPE, France, CENTRAL AMERICA & WEST INDIES, Costa Rica, Guatemala, Honduras, Nicaragua, Panama, Salvador, Trinidad, NORTH AMERICA, USA, SOUTH AMERICA, Brazil, Colombia, French, Guiana, Guyana, Surinam.
Septoria passerinii
. [Distribution map].
Authors: UK, CAB International  
Published: August 2021

Abstract

A new distribution map is provided for
Septoria passerinii
Sacc. Hosts: Barley (Hordeum vulgare), other Hordeum spp. & Lolium. Information is given on the geographical distribution in AFRICA, Ethiopia, Libya, Morocco, South Africa, ASIA, Saudi Arabia, Turkey, AUSTRALASIA & OCEANIA, Australia, EUROPE, Britain (England & Scotland), Bulgaria, Cyprus, Denmark, Germany, Italy, Netherlands, Norway, Romania, Spain, USSR (Lithuania), NORTH AMERICA, Canada (Alberta, British Columbia, Manitoba, Ontario, Quebec, Saskatchewan), USA (North Central States to South Carolina, Ark and North Dakota).
Cronartium flaccidum
. [Distribution map].
Authors: UK, CAB International  
Published: August 2021

Abstract

A new distribution map is provided for
Cronartium flaccidum
(Alb. & Schwein.) Winter. Hosts: pine (Pinus spp.), Paeonia, Pedicularis, Tropaeolum, Vincetoxicum and others. Information is given on the geographical distribution in ASIA, China, Heilongjiang, Jiangsu, Jilin, Liaoning, Sichuan, Yunnan, Zhejiang, Japan, Korea, USSR, Armenia, Republic of Georgia, Siberia, EUROPE, Austria, Belgium, Bulgaria, Czechoslovakia, Denmark, Finland, France, Greece, Germany, Hungary, Italy, Netherlands, Norway, Poland, Portugal, Romania, Spain, Sweden, Switzerland, UK, Southern England, USSR, Azerbaijan, etc. Estonia, Lithuania, Ukraine (Crimea), Yugoslavia.
Gibberella stilboides
. [Distribution map].
Authors: UK, CAB International  
Published: August 2021

Abstract

A new distribution map is provided for
Gibberella stilboides
Gordon ex Booth. Host: Coffea arabica. Information is given on the geographical distribution in AFRICA, Ethiopia, Kenya, Malawi, Tanzania, Uganda, West Africa, Zambia, Zimbabwe, ASIA, India, West Bengal, AUSTRALASIA & OCEANIA, Papua New Guinea, CENTRAL AMERICA & WEST INDIES, Dominica, West Indies.
Ustilago scorzonerae
. [Distribution map].
Authors: UK, CAB International  
Published: August 2021

Abstract

A new distribution map is provided for
Ustilago scorzonerae
(Alb. & Schwein.) Schröter. Hosts: black salsify (Scorzonera spp.). Information is given on the geographical distribution in EUROPE, Austria, Czechoslovakia, Denmark, Finland, France, Germany, Hungary, Italy, Netherlands, Norway, Poland, Portugal, Romania, Sweden, Switzerland, USSR, Zakarpatskaya, Yugoslavia, ASIA, Israel, USSR, Altai, Krasnoyarskii, krai, Tul'skaya obl., Yakutskaya, ASR, Siberia, central Asia.
Alternaria dianthicola
. [Distribution map].
Authors: UK, CAB International  
Published: August 2021

Abstract

A new distribution map is provided for
Alternaria dianthicola
Neergaard. Hosts: carnation and other Dianthus spp. Information is given on the geographical distribution in AFRICA, Malawi, South Africa, Zambia, Zimbabwe, ASIA, Bhutan, Peninsular Malaysia, Malaysia, Thailand, AUSTRALASIA & OCEANIA, Australia, Tas., New Zealand, EUROPE, Austria, Cyprus, Denmark, France, Germany, Hungary, Italy, Netherlands, Romania, Spain, Yugoslavia, NORTH AMERICA, Canada, Ontario, Quebec, USA, CENTRAL AMERICA & WEST INDIES, Jamaica, SOUTH AMERICA, Brazil, Pernambuco, Chile.
Phyllachora canafistulae
. [Distribution map].
Authors: UK, CAB International  
Published: August 2021

Abstract

A new distribution map is provided for
Phyllachora canafistulae
F.L. Stevens & Dalby. Hosts: Cassia spp. Information is given on the geographical distribution in NORTH AMERICA, Bermuda, USA, CENTRAL AMERICA & WEST INDIES, Costa Rica, Cuba, Dominican, Republic, Grenada, Jamaica, Panama, Puerto Rico, Trinidad, SOUTH AMERICA, Brazil.
Rhagoletis pomonella
. [Distribution map].
Authors: UK, CAB International  
Published: August 2021

Abstract

A new distribution map is provided for
Rhagoletis pomonella
(Walsh). Diptera: Tephritidae. Attacks apple, hawthorn (
Crataegus
),
Prunus
, pear. Information is given on the geographical distribution in North America, Canada, Manitoba, New Brunswick, Nova Scotia, Ontario, Prince Edward Island, Quebec, USA, Arkansas, California, Colorado, Connecticut, Delaware, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Maine, Maryland, Massachussets, Michigan, Minnesota, Mississippi, Nebraska, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Ohio, Oregon, Pennsylvania, Rhode Island, South Dakota, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Central America, Mexico.
Rhagoletis cerasi
. [Distribution map].
Authors: UK, CAB International  
Published: August 2021

Abstract

A new distribution map is provided for
Rhagoletis cerasi
(Linnaeus). Diptera: Tephritidae (cherry fruit fly). Attacks cherry,
Lonicera
spp. Information is given on the geographical distribution in Europe, Austria, Bulgaria, Crete, Czechoslovakia, France, Germany, Greece, Hungary, Italy, Netherlands, Norway, Poland, Portugal, Romania, Sardinia, Sicily, Spain, Sweden, Switzerland, Turkey, Yugoslavia, USSR, Georgian SSR, Kazakh SSR, Kirghiz SSR, Latvian SSR, Lithuanian SSR, Russian SFSR, Krasnoyarsk, Leningrad region, Siberia, Sverdlovsk region, Tadzhik SSR, Turkmen SSR, Ukrainian SSR, Uzbekistan, Asia, Iran.
Chilo partellus
. [Distribution map].
Authors: UK, CAB International  
Published: August 2021

Abstract

A new distribution map is provided for
Chilo partellus
(Swinhoe). Lepidoptera: Pyralidae (spotted stem borer). Attacks
Sorghum
, maize, millet, rice, sugarcane, Job's tears and many grasses. Information is given on the geographical distribution in Africa, Botswana, Cameroon, Comoro Islands, Ethiopia, Kenya, Malawi, Mozambique, Réunion, Somalia, South Africa, Sudan, Tanzania, Uganda, Zimbabwe, Asia, Afghanistan, Cambodia, India, Andhra Pradesh, Assam, Bihar, Delhi, Gujarat, Haryana, Himachal Pradesh, Karnataka, Madhya Pradesh, Maharashtra, Orissa, Punjab, Rajasthan, Tamil Nadu, Uttar Pradesh, West Bengal, Indonesia, Laos, Nepal, Pakistan, Sikkim, Sri Lanka, Thailand, Vietnam, Yemen, Benin, Bangladesh, Indonesia, Japan, Taiwan.
Experimental characterization of friction and wear behavior of textured Titanium alloy (Ti-6Al-4V) for enhanced tribological performance
Authors: Segu Dawit Zenebe , Wang Lei-Lei , Hwang Pyung , Kang Seok-Won 
Published: August 2021

Abstract
Laser surface texturing (LST) is an effective surface engineering technique that can improve the efficiency and reliability of a tribosystem. In this study, surface textures with combined dimple patterns were prepared on a Ti-6Al-4V alloy surface using a Nd:YAG pulsed laser. Sliding dry and MoS2 solid-lubricated experiments were performed to assess the tribological characteristics of these specimens using a ball-on-disk mode. An L9 (34) orthogonal array table was used to prepare an experimental plan, which contained three parameters: the sliding speed, applied load, and the area density of dimple on the friction properties. The results show that the MoS2-added textured surface effectively decreased the coefficient of friction and reduced adhesion wear compared to an untextured surface. Analysis of variance (ANOVA) suggested that the texture area density has a major effect on the friction coefficient at a confidence level of 99%, followed by the applied load and sliding speed. Scanning electron microscopy (SEM) revealed that the wear mechanisms were adhesive and abrasive wear, and a transfer layer from the Ti-6Al-4V alloy was obtained on the counterpart ceramic ball. In conclusion, a higher texture area density is advantageous to increase the friction and wear performance of the Ti-6Al-4V alloy surface.
Comagnetometer probes of dark matter and new physics
Authors: Terrano W A , Romalis M V 
Published: August 2021

Abstract
Modern comagnetometry is—in absolute energy units—the most sensitive experimental technique for measuring the energy splitting between quantum states, with certain implementations measuring the nuclear spin-up/spin-down splitting at the 10−26 eV level. By measuring and subtracting the leading magnetic effects on the spins, comagnetometry can be used to study non-standard-model spin interactions. New physics scenarios that comagnetometers can probe include EDMs, violations of Lorentz invariance, Goldstone bosons from new high-energy symmetries, spin-dependent and CP-violating long-range forces, and axionic dark matter. We describe the many implementations that have been developed and optimized for these applications, and consider the prospects for improvements in the technique. Based purely on existing technology, there is room for several orders of magnitude in further improvement in statistical sensitivity. We also evaluate sources of systematic error and instability that may limit attainable improvements.
Half-life of 67Cu
Authors: Merrick Michael J , Rotsch David A , Tiwari Ashok , Nolen Jerry , Brossard Thomas , Song Jeongseog , Wadas Thaddeus J , Sunderland John J , Graves Stephen A 
Published: August 2021

Abstract
The half-life of 67Cu was determined through serial gamma-ray spectrometry measurements of the dominant gamma emission (E
γ
: 184.6 keV; branching ratio: 48.7%) produced following β- decay. Data were collected consecutively for 1000 s per measurement, with a total of 3063 measurements over the duration of 36 days. The incidence rate for the 184.6 keV gamma-ray was determined from the spectral peak area and duration of each measurement. This rate was then corrected to account for detector dead-time, radioactive decay during each acquisition and drift in the computer clock in comparison to NIST nuclear clock. Least-squares regression analysis was performed to determine the half-life of 67Cu. The result was 61.761 ± 0.004 h, which is the highest precision measurement to date, and marks a 24-fold precision improvement over the current Nuclear Data Sheets value.
Insurance Type Influences Access to Biologics and Healthcare Utilization in Pediatric Crohn’s Disease
Authors: Quiros Jose Antonio , Andrews Annie Lintzenich , Brinton Daniel , Simpson Kit , Simpson Annie 
Published: August 2021

Abstract

Background
The objective of this study is to determine if there is an association between insurance status and access to biologics among children with Crohn’s disease (CD). Additionally, we seek to determine differences in healthcare utilization between these groups, utilizing a national sample of children with CD.

Methods
Children aged 8–18 with a diagnosis of CD were identified from 2012–2016 Truven Health MarketScan (IBM Watson Health). Patients were classified into Public/Medicaid or as Commercial/Privately Insured. Descriptive statistics were compared between groups and sensitivity analysis performed using inverse probability of treatment weighting. Adjusted differences in healthcare utilization were estimated by multiple linear regression models.

Results
We identified 6163 patients with a diagnosis of CD. There were no significant differences in each payer group’s demographic characteristics, comorbidities, or surgery rates. Over the 18-month follow-up period, 132 (20.4%) subjects in the public insurance group and 851 (15.4%) children in the private insurance group received biologics. Medicaid patients were 39% more likely to receive a biologic agent within 18 months of diagnosis compared to privately insured children (P = .0004). Postdiagnosis rates of hospitalizations and Emergency Department visits were significantly higher for the Medicaid group.

Conclusions
In this national sample of children with CD, publicly insured children were more likely to receive a biologic within 18 months of diagnosis compared to children with private insurance. At all points in time, publicly insured children also utilized emergency room services and required hospitalization at a significantly higher rate.
Atrial fibrillation risk prediction from the 12-lead electrocardiogram using digital biomarkers and deep representation learning
Authors: Biton Shany , Gendelman Sheina , Ribeiro Antônio H , Miana Gabriela , Moreira Carla , Ribeiro Antonio Luiz P , Behar Joachim A 
Published: August 2021

Abstract

Aims
This study aims to assess whether information derived from the raw 12-lead electrocardiogram (ECG) combined with clinical information is predictive of atrial fibrillation (AF) development.

Methods and results
We use a subset of the Telehealth Network of Minas Gerais (TNMG) database consisting of patients that had repeated 12-lead ECG measurements between 2010 and 2017 that is 1 130 404 recordings from 415 389 unique patients. Median and interquartile of age for the recordings were 58 (46–69) and 38% of the patients were males. Recordings were assigned to train-validation and test sets in an 80:20% split which was stratified by class, age and gender. A random forest classifier was trained to predict, for a given recording, the risk of AF development within 5 years. We use features obtained from different modalities, namely demographics, clinical information, engineered features, and features from deep representation learning. The best model performance on the test set was obtained for the model combining features from all modalities with an area under the receiver operating characteristic curve (AUROC) = 0.909 against the best single modality model which had an AUROC = 0.839.

Conclusion
Our study has important clinical implications for AF management. It is the first study integrating feature engineering, deep learning, and Electronic medical record system (EMR) metadata to create a risk prediction tool for the management of patients at risk of AF. The best model that includes features from all modalities demonstrates that human knowledge in electrophysiology combined with deep learning outperforms any single modality approach. The high performance obtained suggest that structural changes in the 12-lead ECG are associated with existing or impending AF.
Automated external defibrillators delivered by drones to patients with suspected out-of-hospital cardiac arrest
Authors: Schierbeck Sofia , Hollenberg Jacob , Nord Anette , Svensson Leif , Nordberg Per , Ringh Mattias , Forsberg Sune , Lundgren Peter , Axelsson Christer , Claesson Andreas 
Published: August 2021

Abstract

Aims
Early defibrillation is critical for the chance of survival in out-of-hospital cardiac arrest (OHCA). Drones, used to deliver automated external defibrillators (AEDs), may shorten time to defibrillation, but this has never been evaluated in real-life emergencies. The aim of this study was to investigate the feasibility of AED delivery by drones in real-life cases of OHCA.

Methods and results
In this prospective clinical trial, three AED-equipped drones were placed within controlled airspace in Sweden, covering approximately 80 000 inhabitants (125 km2). Drones were integrated in the emergency medical services for automated deployment in beyond-visual-line-of-sight flights: (i) test flights from 1 June to 30 September 2020 and (ii) consecutive real-life suspected OHCAs. Primary outcome was the proportion of successful AED deliveries when drones were dispatched in cases of suspected OHCA. Among secondary outcomes was the proportion of cases where AED drones arrived prior to ambulance and time benefit vs. ambulance. Totally, 14 cases were eligible for dispatch during the study period in which AED drones took off in 12 alerts to suspected OHCA, with a median distance to location of 3.1 km [interquartile range (IQR) 2.8–3.4). AED delivery was feasible within 9 m (IQR 7.5–10.5) from the location and successful in 11 alerts (92%). AED drones arrived prior to ambulances in 64%, with a median time benefit of 01:52 min (IQR 01:35–04:54) when drone arrived first. In an additional 61 test flights, the AED delivery success rate was 90% (55/61).

Conclusion
In this pilot study, we have shown that AEDs can be carried by drones to real-life cases of OHCA with a successful AED delivery rate of 92%. There was a time benefit as compared to emergency medical services in cases where the drone arrived first. However, further improvements are needed to increase dispatch rate and time benefits.

Trial registration number
ClinicalTrials.gov Identifier: NCT04415398.
Towards a Taxonomic Classification of Humus Forms
Authors: Green R. N. , Trowbridge R. L. , Klinka K. 
Published: August 2021

Abstract
A two-category taxonomic classification and a methodology for field description are proposed to aid in consistent identification and interpretation of humus forms for ecosystem research, surveys, and management. The classification uses the nomenclature principles of the U.S. soil taxonomy and the master organic horizon designations of the Canadian system of soil classification. It includes humus form taxa that have been recognized in Europe and North America. Recognized taxa are defined on the basis of observable and easily measurable morphological properties. Three taxa, Mor, Moder, and Mull, are recognized at the order level and are differentiated according to the type of F horizon and the relative prominence of organic-enriched A horizons. These reflect principal differences in the nature and rate of decomposition processes. Names of the 16 taxa at the lower, group level are created by adding formative elements to the name of the order. For example, groups of the Mor order are differentiated according to the relative thickness of F and H horizons (Hemimors and Humimors); degree of humification in the H horizon (Resimors); content of decaying wood (Lignomors); and moisture regime (Hydromors, Fibrimors, and Mesimors). Phases can be formed for any taxon to recognize important morphological properties that deviate from the taxonomic differentiae. Keys to the recognized taxa and descriptions of representative humus form profiles for each group are provided to assist in identification. Methods for describing, sampling, and surveying humus forms are presented to facilitate field examinations and subsequent studies.