bluuebunny/crossref_metadata_2025 huggingface dataset:
Dysaphis plantaginea
. [Distribution map].
Authors: UK, CAB International
Published: August 2021

A new distribution map is provided for
Dysaphis plantaginea
(Pass.) (
Anuraphis roseus
[Dysaphis plantaginea]
Baker) (Hem., Aphididae) (Rosy Apple Aphid). Host Plants: Apple,
Plantago
. Information is given on the geographical distribution in EUROPE (excl. USSR), Austria, Belgium, Britain, Bulgaria, Czechoslovakia, Denmark, Finland, France, Germany, West Greece, Hungary, Ireland, Italy, Netherlands, Norway, Poland, Portugal, Sicily, Spain, Sweden, Switzerland, ASIA (excl. USSR), Afghanistan, Cyprus, Iran, Israel, Japan, Korea, Lebanon, Nepal, Pakistan, Taiwan, Turkey, USSR, AFRICA, Egypt, Ethiopia, Libya, Morocco, Tunisia, NORTH AMERICA, Canada, USA.
Edwardsiana crataegi
. [Distribution map].
Authors: UK, CAB International
Published: August 2021

A new distribution map is provided for
Edwardsiana crataegi
(Douglas) (
Edwardsiana austrails
(
Froggatt
), Typhlocyba froggatti Baker (Hem., Cicadellidae) (Apple Leaf-hopper). Host Plants: Apple, cherry, pear, plum, quince. Information is given on the geographical distribution in EUROPE (excl. USSR), Austria, Britain, Czechoslovakia, Denmark, Finland, France, East Germany, West Germany, Hungary, Ireland, Italy, Netherlands, Poland, Romania, Sweden, Switzerland, Yugoslavia, USSR, AUSTRALASIA, Australia, New Zealand, NORTH AMERICA, Canada, USA, SOUTH AMERICA, Argentina, Chile.
Mussidia nigrinivella
. [Distribution map].
Authors: UK, CAB International
Published: August 2021

A new distribution map is provided for
Mussidia nigrinivella
(Rag.) (Lep., Pyralidae). Host Plants: Cacao, maize, oil palm. Information is given on the geographical distribution in AFRICA, Benin, Congo, Ghana, Ivory Coast, Mali, Mozambique, Niger, Nigeria, Senegal, Sierra Leone, Tanzania, Togo, Upper Volta, Zaire.
Sitona hispidulus
. [Distribution map].
Authors: UK, CAB International
Published: August 2021

A new distribution map is provided for
Sitona hispidulus
(F.) (
Sitones hispidula
(F.)) (Col., Curculionidae) (Clover Leaf Weevil). Host Plants: Broad bean, clover, lucerne, peas, vetch. Information is given on the geographical distribution in EUROPE (excl. USSR), Austria, Belgium, Britain, Bulgaria, Corsica, Czechoslovakia, Denmark, Finland, France, Germany, West Greece, Hungary, Italy, Netherlands, Norway, Poland, Portugal, Romania, Spain, Sweden, Switzerland, Yugoslavia, ASIA (Excl. USSR), Cyprus, Iran, Israel, Japan, Syria, Turkey, USSR, NORTH AMERICA, Canada, USA.
Xyloterus lineatus
. [Distribution map].
Authors: UK, CAB International
Published: August 2021

A new distribution map is provided for
Xyloterus lineatus
[Trypodendron lineatum]
(Ol.) (
Trypodendron lineatum
(Ol.)) (Col., Scolytidae) (Lineate-Bark Beetle). Host Plants:
Abies, Picea, Pseudotsuga
. Information is given on the geographical distribution in EUROPE (excl. USSR), Austria, Belgium, Britain, Bulgaria, Czechoslovakia, Denmark, Finland, France, Germany, Greece, Hungary, Italy, Liechtenstein, Norway, Poland, Portugal, Romania, Spain, Sweden, Switzerland, Yugoslavia, ASIA (excl. USSR), Japan, Korea, Turkey, USSR, NORTH AMERICA, Canada, USA.
Oxya hyla
. [Distribution map].
Authors: UK, CAB International
Published: August 2021

A new distribution map is provided for
Oxya hyla
Serv. (
O. multidentata
Will.) (Orthopt., Acrididae). Host Plants: Rice, sugar-cane, grasses. Information is given on the geographical distribution in ASIA, Afghanistan, Bangladesh, Burma, China, Hongkong, India, Indonesia, Iran, Kampuchea, Laos, Malaysia, Maldive Islands, Nepal, Pakistan, Philippines, Ryuku Islands, Singapore, Sri Lanka, Taiwan, Thailand, Vietnam, AFRICA, Angola, Benin, Cameroun, Central, African, Republic, Chad, Congo, Brazzaville, Ethiopia, Fernando Po, Gabon, Gambia, Ghana, Guinea, Ivory Coast, Kenya, Lesotho, Liberia, Madagascar, Malawi, Mali, Mozambique, Namibia, Niger, Nigeria, São Tomé, Senegal, Sierra Leone, Somalia, South Africa, Sudan, Swaziland, Tanzania, Togo, Upper Volta, Zaire, Zambia, Zimbabwe, PACIFIC ISLANDS, Caroline Islands.
Eucalymnatus tesselatus
. [Distribution map].
Authors: UK, CAB International
Published: August 2021

A new distribution map is provided for
Eucalymnatus tesselatus
(Sign.) (Hem., Coccoidea) (Tesselated Scale). Host Plants: Coconut, mango, avocado, figs (
Ficus
). Information is given on the geographical distribution in ASIA, India, Indonesia, Israel, Sri Lanka, Taiwan, USSR, Borkhsenius, AFRICA, Egypt, Kenya, Mauritius, Seychelles, Tanzania, AUSTRALASIA, and PACIFIC ISLANDS, Australia, Cook Islands, Fiji, Hawaii, Kiribati Islands, New Caledonia, Papua New Guinea, Western Samoa, Tuvalu Islands, Vanuatu, NORTH AMERICA, USA, CENTRAL AMERICA and WEST INDIES, El Salvador, West Indies, SOUTH AMERICA, Brazil, Guyana, Venezuela.
Adoxophyes orana
. [Distribution map].
Authors: UK, CAB International
Published: August 2021

A new distribution map is provided for
Adoxophyes orana
(Fisch. v. Roesl.) (
A. reticulana
(Hb.)) (Lep., Tortricidae) (Reticulated Tortrix). Host Plants: Apple, pear, cherry, tea, lilac. Information is given on the geographical distribution in EUROPE, Austria, Belgium, Britain, Bulgaria, Denmark, Finland, France, Germany, Hungary, Italy, Netherlands, Norway, Poland, Romania, Spain, Sweden, Switzerland, Yugoslavia, ASIA, China, Japan, USSR.
Atta cephalotes
. [Distribution map].
Authors: UK, CAB International
Published: August 2021

A new distribution map is provided for
Atta cephalotes
(L.) (Hymenoptera, Formicidae) (Leaf-cutting Ant). Host Plants: Cacao, citrus, coffee, cotton, maize. Information is given on the geographical distribution in NORTH AMERICA, Mexico, CENTRAL AMERICA and WEST INDIES, Belize, Costa Rica, Guatemala, Honduras, Nicaragua, Panama, West Indies, SOUTH AMERICA, Bolivia, Brazil, Colombia, Ecuador, French Guiana, Guyana, Peru, Suriname, Venezuela.
Liriomyza trifolii
. [Distribution map].
Authors: UK, CAB International
Published: August 2021

A new distribution map is provided for
Liriomyza trifolii
(Burgess) (Dipt., Agromyzidae) (American serpentine leaf-miner). Host Plants:
Arachis, Chrysanthemum, Hibiscus, Phaseolus
.onion, potato. Information is given on the geographical distribution in EUROPE, Yugoslavia, AFRICA, Canary Islands, Kenya, Mauritius, Réunion, Tanzania, NORTH AMERICA, Canada, USA, WEST INDIES, SOUTH AMERICA, Colombia, Guyana, Venezuela, PACIFIC ISLANDS, Hawaii.
Agrius convolvuli
. [Distribution map].
Authors: UK, CAB International
Published: August 2021

A new distribution map is provided for
Agrius convolvuli (L
.) Information is given on the geographical distribution in Australia, Cook Islands, Fiji, Hawaii, Irian Jaya, Kermadec Islands, Kiribati Islands, Mariana Islands, Marquesas Islands, New Caledonia, New Zealand, Niue, Norfolk Islands, Papua New Guinea, Pitcairn Islands, Samoa, Society Islands, Solomon Islands, Tokelau Islands, Tonga, Tuvalu, Vanuatu.
Gynaikothrips ficorum
. [Distribution map].
Authors: UK, CAB International
Published: August 2021

A new distribution map is provided for
Gynaikothrips ficorum
(Marchal) (Thysanoptera, Phloeothripidae). Host Plants:
Ficus
spp. Information is given on the geographical distribution in EUROPE, Malta, Sicily, Spain, ASIA, Hong Kong, India, Indonesia, Israel, Malaysia, West Singapore, Sri Lanka, Taiwan, Thailand, AFRICA, Algeria, Canary Islands, Egypt, Libya, Madeira, PACIFIC ISLANDS, Hawaii, NORTH AMERICA, Mexico, USA, WEST INDIES, SOUTH AMERICA, Brazil, Peru, Venezuela.
Hypera postica
. [Distribution map].
Authors: UK, CAB International
Published: August 2021

A new distribution map is provided for
Hypera postica
(Gylh.) (
Phytonomus variabilis
(Hbst.)) (Col., Curculionidae) (Alfalfa weevil). Host Plants: Lucerne, clover, vetch. Information is given on the geographical distribution in EUROPE (excl. USSR), Austria, Belgium, Britain, Bulgaria, Denmark, France, Germany, Gibraltar, Greece, Hungary, Italy, Malta, Netherlands, Norway, Poland, Portugal, Spain, Sweden, Switzerland, Yugoslavia, ASIA (excl. USSR), Afghanistan, Cyprus, India, Iran, Iraq, Israel, Lebanon, Pakistan, Saudi Arabia, Turkey, USSR, AFRICA, Algeria, Canary Islands, Egypt, Libya, Tunisia, NORTH AMERICA, Canada, USA.
Bryobia rubrioculus
. [Distribution map].
Authors: UK, CAB International
Published: August 2021

A new distribution map is provided for
Bryobia rubrioculus
(Scheuten) [Acarina: Tetranychidae] Brown apple mite, brown mite. Attacks almond, apple, cherry, pear, peach, plum and vines. Information is given on the geographical distribution in EUROPE, Austria, Belgium, Bulgaria, France, Germany, East Germany, West Greece, Hungary, Italy, Netherlands, Poland, Portugal, Romania, Spain, Switzerland, United Kingdom, USSR, Azerbaijan, SSR Georgian, SSR Kazakh, SSR Kirghiz, SSR Latvian, SSR Moldavian, SSR Russian, SFSR Ukranian, SSR Uzbek, SSR AFRICA, Mozambique, South Africa, Zimbabwe, ASIA, Afghanistan, China, India, Iran, Iraq, Japan, Lebanon, Turkey, AUSTRALASIA and PACIFIC ISLANDS, Australia, New Zealand, NORTH AMERICA, Canada, Nova Scotia, Ontario, British Columbia, USA, Arizona, California, New York, Oregon, Utah, Wisconsin, Mexico, SOUTH AMERICA, Argentina, Brazil, Chile, Uruguay.
Orseolia oryzivora
. [Distribution map].
Authors: UK, CAB International
Published: August 2021

A new distribution map is provided for
Orseolia oryzivora Harris & Gagné
[Diptera: Cecidomyiidae] African rice gall midge. Attacks rice and probably related grasses, especially Oryza spp. Information is given on the geographical distribution in AFRICA, Benin, Burkina, Faso, Cameroon, Gambia, Guinea-Bissau, Ivory Coast, Malawi, Mali, Niger, Nigeria, Senegal, Sudan, Togo, Zambia.
Prostephanus truncatus
. [Distribution map].
Authors: UK, CAB International
Published: August 2021

A new distribution map is provided for
Prostephanus truncatus
(Horn) [Coleoptera: Bostrichidae] Greater grain borer; scania beetle. Attacks stored maize, cassava, groundnuts, beans and other dried products. Information is given on the geographical distribution in NORTH AMERICA, [Canada], USA, Mexico, CENTRAL AMERICA, Costa Rica, Guatemala, Nicaragua, SOUTH AMERICA, Brazil, EUROPE [Germany], AFRICA, Kenya, Tanzania, Togo, ASIA, Israel, Iraq.
Phenacoccus manihoti
. [Distribution map].
Authors: UK, CAB International
Published: August 2021

A new distribution map is provided for
Phenacoccus manihoti
Matile-Ferrero [Hemiptera: Pseudococcidae] Cassava mealybug. Attacks cassava (Manihot esculenta) and other species of Manihot, causing serious damage. Information is given on the geographical distribution in SOUTH AMERICA, Bolivia, Brazil, Paraguay, AFRICA, Angola, Benin, Burundi, Congo, Gambia, Guinea, Guinea-Bissau, Ivory Coast, Nigeria, Senegal, Sudan, Togo, Uganda, Zaire, Zambia.
Scirtothrips dorsalis
. [Distribution map].
Authors: UK, CAB International
Published: August 2021

A new distribution map is provided for
Scirtothrips dorsalis
Hood [Thysanoptera: Thripidae] Chilli thrips, flower thrips, yellow tea thrips, Assam thrips Polyphagous, attacks grapevine, rubber, tea, castor, strawberry, Capsicum (chilli), tamarind, groundnut, soyabean, asparagus, citrus, mango, passionfruit, etc. Information is given on the geographical distribution in ASIA, Bangladesh, Brunei, China, Hongkong, India, Indonesia, Japan, Malaysia, Pakistan, Sri Lanka, Sulawesi, Taiwan, Thailand, AUSTRALASIA, AND PACIFIC ISLANDS, Australia, Papua New Guinea, Solomon Islands.
Heteropsylla cubana
. [Distribution map].
Authors: UK, CAB International
Published: August 2021

A new distribution map is provided for
Heteropsylla cubana
Crawford (=
H. incisa
(šulc)) [Hemiptera: Psyllidae]. Attacks
Leucaena leucocephala
Information is given on the geographical distribution in ASIA, India, Indonesia, Bali, Flores, Java, Sulawesi, Sumatra, Malaysia, Malaya, Sabah, Sarawak, Philippines, Sri Lanka, Taiwan, Thailand, AUSTRALASIA, and PACIFIC ISLANDS, Australia, Queensland, Cook Islands, Fiji, Hawaii, Nauru, New Caledonia, Papua New Guinea, Solomon Islands, Tonga, Western, Samoa, NORTH AMERICA, USA, Florida, CENTRAL AMERICA and CARIBBEAN, Antigua, Bahamas Islands, Barbados, Cuba, Dominican Republic, El Salvador, Jamaica, Mexico, Nicaragua, Panama, Puerto Rico, Virgin Islands, SOUTH AMERICA, Colombia, Peru, Surinam.
Platypus parallelus
. [Distribution map].
Authors: UK, CAB International
Published: August 2021

A new distribution map is provided for
Platypus parallelus
(Fabricius) [Coleoptera: Platypodidae]. Attacks newly felled logs of
Terminalia, Spondias, Parkia
and
Albizia
as well as cocoa and rubber. Information is given on the geographical distribution in AFRICA, Angola, Cameroon, Chad, Congo, Equatorial, Guinea, Gabon, Ghana, Ivory Coast, Kenya, Madagascar, Nigeria, São, Tomé, & Principé, Senegal, Sierra Leone, South Africa, Tanzania, Togo, Uganda, Zaire, ASIA, Brunei, Malaysia, Singapore, NORTH AMERICA, Texas, CENTRAL AMERICA and CARIBBEAN, Barbados, Cayman Islands, Costa Rica, Cuba, Dominica, Guatemala, Honduras, Mexico, Panama, Trinidad, SOUTH AMERICA, Argentina, Brazil, Colombia, French Guiana, Guyana, Surinam, Venezuela.
Crossotarsus extemedentatus
. [Distribution map].
Authors: UK, CAB International
Published: August 2021

A new distribution map is provided for
Crossotarsus extemedentatus
(Fairmaire) [Coleoptera: Platypodidae]. Attacks
Swietenia macrophylla, Cedrela mexicana, Eucalyptus
and
Casuarina
Information is given on the geographical distribution in AFRICA, Madagascar, Mauritius, Reunion, Seychelles, Tanzania, South Africa, ASIA, Andaman Islands, Assam, Burma, India, Tamil Nadu, Uttar Pradesh, West Bengal, Indonesia, Japan, Malaysia, Philippines, Sri Lanka, Taiwan, Vietnam, AUSTRALASIA, and PACIFIC ISLANDS, Australia, Western Australia, Caroline Islands, Fiji, Gambier Islands, Hawaii, Kermadec Islands, Niue Island, Society Islands, New Guinea, Western Samoa.
Alocvpha bimaculata
. [Distribution map].
Authors: UK, CAB International
Published: August 2021

A new distribution map is provided for
Alocvpha bimaculata
(Jacoby) [Coleoptera: Chrysomclidae, Alticinae]. Attacks sesame. Information is given on the geographical distribution in AFRICA, Malawi, South Africa, Sudan, Tanzania, Zambia.
Hilda patruelis
. [Distribution map].
Authors: UK, CAB International
Published: August 2021

A new distribution map is provided for
Hilda patruelis
(Stål) [Hemiptera: Tettigometridae]. Attacks groundnuts, sunflower, cashew. Information is given on the geographical distribution in AFRICA, Angola, Congo, Ethiopia, Kenya, Malawi, Madagascar, Mozambique, Namibia, Senegal, Sierra Leone, South Africa, Sudan, Tanzania, Zaire, Zambia, Zimbabwe.
Busseola fusca
. [Distribution map].
Authors: UK, CAB International
Published: August 2021

A new distribution map is provided for
Busseola fusca
(Fuller) [Lepidoptera: Noctuidae] Maize stalk borer. Attacks maize, sorghum, millet, sugarcane. Information is given on the geographical distribution in AFRICA, Angola, Benin, Burkina, Faso, Burundi, Cameroon, Chad, Ethiopia, Gabon, Ghana, Guinea, Ivory Coast, Kenya, Lesotho, Malawi, Mozambique, Nigeria, Rwanda, Sierra Leone, Somalia, South Africa, Sudan, Tanzania, Togo, Uganda, Zaire, Zambia, Zimbabwe.
Cylas brunneus
. [Distribution map].
Authors: CABI  , EPPO
Published: August 2021

A new distribution map is provided for
Cylas brunneus
(Olivier) Coleoptera: Brentidae Hosts: Sweet potato (
Ipomoea batatas
). Information is given on the geographical distribution in AFRICA, Burundi, Cote d'Ivoire, Ghana, Kenya, Nigeria, Rwanda, Sierra Leone, Togo, Uganda.
Cacyreus marshalli
. [Distribution map].
Authors: CABI  , EPPO
Published: August 2021

A new distribution map is provided for
Cacyreus marshalli
Butler Lepidoptera: Lycaenidae Attacks Pelargonium and Geranium spp. Information is given on the geographical distribution in EUROPE, Belgium, Italy, Mainland Italy, Spain, Balearic Islands, Mainland Spain, UK, England and Wales, AFRICA, Botswana, Lesotho, Mozambique, South Africa, Swaziland, Zimbabwe.
Epitrix tuberis
. [Distribution map].
Authors: CABI  , EPPO
Published: August 2021

A new distribution map is provided for
Epitrix tuberis
Gentner Coleoptera: Chrysomelidae Attacks potato (
Solanum tuberosum
) and to a lesser extent tomato (
Lycopersicon esculentum
) and tobacco (
Nicotiana tabacum
). Information is given on the geographical distribution in NORTH AMERICA, Canada, Alberta, British Columbia, Saskatchewan, USA, California, Colorado, Nebraska, New Mexico, Oregon, South Dakota, Washington, Wyoming, SOUTH AMERICA, Ecuador.
Lopholeucaspis japonica
. [Distribution map].
Authors: CABI  , EPPO
Published: August 2021

A new distribution map is provided for
Lopholeucaspis japonica
Cockerell Homoptera: Coccoidea: Diaspididae Attacks mainly Citrus spp., also other fruit trees and woody ornamentals. Information is given on the geographical distribution in EUROPE, Russia, Russian Far East, Southern Russia, Slovakia, Ukraine, ASIA, Azerbaijan, China, Anhui, Fujian, Guangdong, Guangxi, Hubei, Hunan, Jiangsu, Jiangxi, Sichuan, Yunnan, Zhejiang, Republic of Georgia, India, Andhra Pradesh, Uttar Pradesh, Iran, Japan, Hokkaido, Honshu, Kyushu, Shikoku, Korea Democratic People's Republic, Pakistan, Taiwan, NORTH AMERICA, USA, Connecticut, Maryland, OCEANIA, Australia, Northern Territory.
Monochamus carolinensis
. [Distribution map].
Authors: CABI  , EPPO
Published: August 2021

A new distribution map is provided for
Monochamus carolinensis
(Olivier) Coleoptera: Cerambycidae Attacks Pinus spp., including P. banksiana, P. resinosa, P. strobus. Information is given on the geographical distribution in NORTH AMERICA, Canada, New Brunswick, Ontario, Quebec, Mexico, USA, Alabama, Arkansas, Florida, Georgia, Illinois, Indiana, Kansas, Kentucky, Louisiana, Maine, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, New Jersey, New York, North Carolina, Ohio, Oklahoma, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, Wisconsin.
Xylotretrechus quadripes
. [Distribution map].
Authors: CABI  , EPPO
Published: August 2021

A new distribution map is provided for
Xylotretrechus quadripes
Chevrolat Coleoptera: Cerambycidae Attacks coffee (
particularly Coffea arabica
). Information is given on the geographical distribution in ASIA, Bangladesh, Cambodia, China, Fujian, Guangdong, Guangxi, Hainan, Hunan, Yunnan, India, Arunachal Pradesh, Assam, Karnataka, Madhya Pradesh, Maharashtra, Tamil Nadu, West Bengal, Indonesia, Java, Lao, Myanmar, Philippines, Sri Lanka, Taiwan, Thailand, Vietnam.
Anoplophora malasiaca
. [Distribution map].
Authors: CABI  , EPPO
Published: August 2021

A new distribution map is provided for
Anoplophora malasiaca
(Thomson) Coleoptera: Cerambycidae Attacks Citrus and other trees. Information is given on the geographical distribution in ASIA, Japan, Hokkaido, Honshu, Kyushu, Ryukyu Archipelago, Shikoku, Korea Democratic People's Republic, Korea Republic, Taiwan, NORTH AMERICA, USA, Wisconsin.
Keiferia lycopersicella
. [Distribution map].
Authors: CABI/EPPO
Published: August 2021

A new distribution map is provided for
Keiferia lycopersicella
. Lepidoptera: Gelechiidae. Hosts: tomato (
Solanum lycopersicum
), aubergine (
S. melongena
) and potato (
S. tuberosum
). Information is given on the geographical distribution in Europe (Mainland Italy), North America (Ontario, Canada; Mexico; Alabama, Arizona, Arkansas, California, Delaware, Florida, Georgia, Hawaii, Illinois, Maryland, Mississippi, Missouri, New Jersey, New Mexico, North Carolina, Ohio, Pennsylvania, South Carolina, Tennessee, Texas and Virginia, USA), Central America and Caribbean (Bermuda, Costa Rica, Cuba, Dominican Republic, El Salvador, Guatemala, Haiti, Honduras, Jamaica, Nicaragua, Panama, and Trinidad and Tobago) and South America (Bolivia, Colombia, Ecuador, Guyana, Peru and Venezuela).
Agrilus sulcicollis
. [Distribution map].
Authors: CABI/EPPO
Published: August 2021

A new distribution map is provided for
Agrilus sulcicollis
Lacordaire. Coleoptera: Buprestidae. Hosts: oak (
Quercus
spp.), hornbeam (
Carpinus betulus
) and chestnut (
Castanea
spp.). Information is given on the geographical distribution in Europe (Albania; Austria; Belarus; Belgium; Bosnia-Herzegovina; Bulgaria; Croatia; Czech Republic; Denmark; Estonia; Finland; Corsica and Mainland France; Germany; Greece; Hungary; Sardinia, Sicily and Mainland Italy; Latvia; Liechtenstein; Lithuania; Luxembourg; Macedonia; Moldova; Montenegro; Netherlands; Norway; Poland; Romania; Russia; Serbia; Slovakia; Slovenia; Spain; Sweden; Switzerland; England and Wales, UK; and Ukraine), Asia (Afghanistan, Armenia, Azerbaijan, Georgia, Kazakhstan, Syria and Turkey), Africa (Algeria, Morocco and Tunisia) and North America (Ontario, Canada, and Michigan and New York, USA).
Dasineura gleditchiae
. [Distribution map].
Authors: CABI/EPPO
Published: August 2021

A new distribution map is provided for
Dasineura gleditchiae
(Osten Sacken). Diptera: Cecidomyiidae. Host: honey locust (
Gleditsia triacanthos
). Information is given on the geographical distribution in Europe (Austria, Croatia, Czech Republic, Denmark, Mainland France, Greece, Hungary, Mainland Italy, Luxembourg, Netherlands, Poland, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland, and England and Wales, UK), Asia (Turkey) and North America (Ontario, Canada, and California, Idaho, North Dakota, Oregon, South Dakota and Wyoming, USA).
Scaphoideus titanus
. [Distribution map].
Authors: CABI  , EPPO
Published: August 2021

A new distribution map is provided for
Scaphoideus titanus
Ball. Hemiptera: Cicadellidae. Host: grapes (
Vitis vinifera
). Information is given on the geographical distribution in Europe (Austria, Bosnia-Hercegovina, Bulgaria, Croatia, Czech Republic, France, Corsica, Hungary, Italy, Moldova, Montenegro, Portugal, Madeira, Romania, Serbia, Slovakia, Slovenia, Spain and Switzerland) and North America (Canada, Manitoba, Nova Scotia, Ontario, Quebec, Saskatchewan, USA, Alabama, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, District of Columbia, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, New Hampshire, New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia and Wisconsin).
A Film Festival Celebrates the Pacific Islands
Authors: Labbé Emilie , Zerouki Shania , Zhao Linlin
Published: August 2021

FIFO stands for Festival International du Film Documentaire Océanien (International Festival of Oceanic Documentary Films). Created in 2004, the festival features documentaries on the theme of ‘Oceania’, an important goal being to promote the southern Pacific region for its diversity and authenticity. FIFO has been influential in developing the audio-visual sector in this part of the world. It brings together most of the region’s industry professionals: producers, technicians, directors, television channels and foreign film festival representatives.

Information

For Skema: Written on the basis of interviews with Miriama Bono, President of FIFO.

© CAB International 2021
Exploring the Case A Film Festival Celebrates the Pacific Islands
Authors: Ward-Perkins David , Zhu Chuhong , Liu Jiatong
Published: August 2021

Introduction

The interview with Miriama Bono, President of FIFO, raises many interesting issues for discussion, including the following:

Is there truly a common ‘Oceanic’ culture, given that its members are spread over such a vast area, with many different national identities? This region of the world is very diverse on all levels: culturally, linguistically, economically, politically, socially and environmentally.

What is the role of such festivals in raising issues that might affect these different audiences – such as the protection of the environment? Should the festival welcome controversial debate, or try to remain neutral?

To what extent has the Covid-19 pandemic changed the nature of such festivals, by allowing more activities to take place online? What are the implications of being able to reach a much wider audience but, at the same time, having less face-to-face contact between participants?

We provide below three other examples of festivals in the Asia-Pacific region, each with a somewhat different objective. Students can compare their objectives and formats, including those of FIFO, in the light of these and other questions.
Autism and engagement with material culture
Authors: Wright Barry , Pearson Hannah , Spikins Penny , Scott Callum , Schofield John
Published: August 2021

Autism spectrum conditions are widely characterized as a cognitive difference which affects social understanding and behaviour. However, evidence increasingly suggests that the condition also affects engagement with material aspects of the environment. Here we review research into how autism affects engagement with the material world. We argue that, whilst there are important distinctions, autism affects perception of the social and material world in similar ways. Furthermore, a subtly different engagement with the material world can bring certain advantages and social contributions. We discuss implications for future research and for inclusion.
Improving resistance training prescription through the load‐velocity relationship in breast cancer survivors: The case of the leg‐press exercise
Authors: Díez‐Fernández David M. , Baena‐Raya Andrés , Alcaraz‐García Celia , Rodríguez‐Rosell David , Rodríguez‐Pérez Manuel A. , Soriano‐Maldonado Alberto
Published: August 2021

The aims of this study were: (i) to analyse the load‐velocity relationship in the bilateral leg‐press exercise in female breast cancer survivors, (ii) to assess whether mean velocity (MV) or peak velocity (PV) show stronger relationship with the relative load, and (iii) to examine whether linear (LA) or polynomic (PA) adjustment predict the velocities associated with each %1RM with greater precision. Twenty‐two female breast cancer survivors (age: 50.2 ± 10.8 years, weight: 69.6 ± 15.2 kg, height: 160.51 ± 5.25 cm) completed an incremental load test until 1RM in the bilateral leg‐press exercise. The MV and the PV of the concentric phase were measured in each repetition using a linear velocity transducer, and were analysed by regression models using LA and PA. A very close relationship of MV (R 2 = 0.924; p < 0.0001; SEE = 0.08m.s−1 by LA, and R² = 0.952; p < 0.0001; SEE = 0.063 m.s−1 by PA) and PV (R² = 0.928; p < 0.0001; SEE = 0.119 m.s−1 by LA and R² = 0.941; p < 0.0001; SEE = 0.108 m.s−1 by PA) with %1RM were observed. The MV of 1RM was 0.24 ± 0.03 m·s−1, whereas the PV at 1RM was 0.60 ± 0.10 m.s−1. A comprehensive analysis of the bilateral leg‐press load‐velocity relationship in breast cancer survivors is presented. The results suggest that MV is the most recommendable velocity variable to prescribe the relative load during resistance training, and that the PA presents better accuracy to predict velocities associated with each %1RM, although LA is sufficiently valid to use this model as an alternative to the quadratic model. The implications for resistance training in breast cancer are discussed.

Highlights

The load‐velocity relationship in the bilateral leg‐press exercise was described in female breast cancer survivors.

The mean velocity is the most recommendable velocity variable to prescribe the relative load during resistance training in this population.

The polynomial adjustment presents a better accuracy to predict velocities associated with each %1RM, although the linear adjustment is sufficiently valid as an alternative.

This study will likely contribute to improving exercise prescription and monitoring in breast cancer survivors.
Fredholm determinant representation of the homogeneous Painlevé II τ-function
Authors: Desiraju Harini
Published: August 2021

We formulate the generic τ-function of the homogeneous Painlevé II equation as a Fredholm determinant of an integrable (Its–Izergin–Korepin–Slavnov) operator. The τ-function depends on the isomonodromic time t and two Stokes parameters. The vanishing locus of the τ-function, called the Malgrange divisor is then determined by the zeros of the Fredholm determinant.
The statistics of the ordering of chiral ribbons on a honeycomb lattice
Authors: McCarthy Maxine M , Fall William S , Zeng Xiangbing , Ungar Goran , Gehring Gillian A
Published: August 2021

A novel model, devised to describe spontaneous chirality synchronization in complex liquids and liquid crystals, is proposed and studied. Segments of ribbon-like molecular columns with left- or right-handed 180° twist lie on the bonds of a honeycomb lattice so that three ribbons meet in a vertex of the hexagonal honeycomb. The energy of each vertex is a minimum if the three ribbons have the same chirality, −ɛ, and is +ɛ otherwise, and the ground state is homochiral, i.e. all ribbons have the same handedness. The energy levels for two vertices linked by a single ribbon are either −2ɛ, 0 and +2ɛ in this vertex model. Monte Carlo simulations demonstrate that this model is identical to an Ising spin model on a Kagome lattice, for which the site energy structure is quite different. The equivalence of the ordering of the vertex and Ising spin models is also shown analytically. The energy difference between the disordered and ground states, 4J in the spin model, is related to the transition temperature for the Kagome lattice using the exact result, T
c = 2.14 J. The ordering energy difference for a single site is 50% higher for the vertex model. The thermodynamic energy for the vertex model is corrected by a factor of 1/3 due to double counting and this makes the specific heat of the vertex model also equal to that of the spin model as expected. Other similar models where there is an unusual relation between the site and thermodynamic energies are discussed briefly.
Internet of things enabled smart baggage follower with theft prevention
Authors: Paidimarry Sai Nidhi , Kishor Kumar Reddy C , Lolla Lalitha Gayatri
Published: August 2021

Innovations are advanced to reduce human endeavors and to ensure security. Mechanical innovations decline manual exertion and make human-machine communication. This paper discusses one such space where enablements result in decreasing endeavour and augmentation in security. A baggage that follows the human is planned, using one of the brilliant advancements in gadgets. It helps auto trailing, lost stuff recuperation through GSM and GPS, void battery gadgets resuscitating, hindrance discovery, alarming and keen opening.
Performance evaluation of IPv4-IPv6 tunneling procedure using IoT
Authors: Jain Amit , Singh Manpreet , Bhambri Pankaj
Published: August 2021

It has become a high need for specialist co-ops, endeavors, IP apparatuses producers, application designers, and governments to start their organizations of IPv6. Consistent movement from IPv4 to IPv6 is difficult to accomplish. Along these lines, a few instruments are required which guarantees smooth, stepwise, and free change to IPv6. Not exclusively is the change, yet the reconciliation of IPv6 is likewise required into the current systems. The arrangements are to be partitioned into three classes: Tunneling, Dual-Stack, and Translation. Numerous individuals believe that NAT is a superior methodology yet Tunneling is a liked and most adaptable approach to convey IPv6 in existing IPv4 situations. IPv6 can be empowered any place IPv4 is empowered alongside the related highlights needed to make IPv6 routable, exceptionally accessible, and secure. These current places of business the difficulties as far as availability, security, portability, and unwavering quality. The paper centers around the future works and vision expected to execute the Internet of Everything to arrive at an interoperable, trustable, versatile, conveyed, significant, and ground-breaking empowering agent for rising applications. The overall accuracy of the methods is calculated for transmitted packets during transmission and delay of the packets at different data rates. So there is a huge improvement at a higher data rate. Hence, the examination of IPv4, 4to6 passage, and IPv6 systems present us with their exhibition qualities through measurable investigation. The insights acquired from reproduction give us that the throughput execution of IPv6 is far superior to IPv4 and 4to6 passage. IPv6 performs better under explicit occasions. By considering the exhibition gauges the IPv6 convention has better transmission proficiency and high throughput. Quantitatively, the proposed method has outperformed 51.19% for different data rates and 18.90% for the same data rate in the case of IPv4. 64.34% for different data rates and 35.53% for the same data rate in the case of IPv6. 61.43% for different data rates and 29.27% for the same data rate in the case of Tunnelling.
Synchronizing asynchronous mobile robots with limited visibility using lights
Authors: Das D , Mukhopadhyaya S , Ghosh Mrityunjay
Published: August 2021

There are three models of automated robots based on their activation schedules and time notions. They are FSYNC, SSYNC and ASYNC Model. The FSYNC-fully synchronous robots have the common notion of time and follow a global round of time. In every turn, all the robots are active and perform their job in synchronization. All the robots have the same notion of time in the SSYNC-semi-synchronous model, whereas in this model, all robots may not be active in each round. The activation time of ASYNC-asynchronous is independent and unpredictable. Research is ongoing to vanish the difference between asynchrony, semi-synchrony and synchrony by equipping the robots with various combination of lights and snapshots. Most of the research has been done on robots with unlimited visibility capabilities. In these works, a robot can view the colors of all other robots and based on that the decision is taken to change its own color thus achieves synchronization. Decision taking becomes challenging if the robots have limited view of the other robots. This paper proposed a technique of synchronizing the robots which are asynchronous by nature, using observable colored lights, where the robots have limited range of visibility.
Investigating weld strength of AA8011-6062 alloys joined via friction-stir welding using the RSM approach
Authors: Akhai Shalom , Srivastava Prateek , Sharma Venktesh , Bhatia Amit
Published: August 2021

In this study, an effort has been made for analyzing the results of the weld strength of aluminum composites AA6061 and 8011 which were developed by friction stir welding (FSW), via response surface methodology (RSM). The RSM approach was adopted considering rotational speed (RS) of 1200, 1300 and 1400 rpm, welding speed (WS) of 75,100 and 125 mm/min and axial force (AF) 5, 6 and 7 KN as the process parameters and output weld characteristic was obtained in terms of the weld strength. Design-Expert software version 11 was used in this paper to plan the survey and generate response surface plots. This investigation revealed that the best welding strength of AA6061 and 8011 aluminum amalgams obtained was 127 MPA, in run no. eight which had parameters RS 1400 RPM, WS 100 mm/min, and AF 7 KN. The obtained values of results were further analyzed through ANNOVA statistical analysis for obtaining the percentage contribution of selected variable parameters towards strength enhancement. The AF contributed significantly around 90%, RS contributed 10 % and contribution of WS was minimal for selected ranges to enhance the strength quality of the weld joint.
IoT Based Smart and Portable System for Remote Patient Monitoring and Drug Delivery
Authors: Kumar Naveen , Kaushal Rajesh Kumar , Panda Surya Narayan
Published: August 2021

In recent, there has been significant development in the healthcare technology particularly due to Internet of Things (IoT). The ubiquitous computing has brought a progressive change in the field of healthcare. In this way, the wellbeing experts are serving the society in a superior manner by utilizing such IoT based gadgets. This paper presents an IoT based model “Smart Portable Intensive Care Unit” for real-time patient monitoring with an additional feature of drug delivery from the remote location. The proposed model assisting the healthcare professionals and the relatives of the patient to monitor the physiological data of the patient from the remote location. The patient’s physiological data is transmitted to the cloud. An android based mobile application is developed to fetch the patient’s data from the cloud database in real-time. The authenticity of the user is maintained throughout the data communication process. The patient’s data is transmitted on the mobile application of the doctor both in analog and digital form. The doctor can also set the flow of drug infusion from a remote location. The proposed model can be effectively used for the patients admitted in the hospital or inside the ambulance.
Educational Data Mining: A Review
Authors: Bachhal P. , Ahuja S. , Gargrish S.
Published: August 2021

Data mining in the field of education plays a vital role. The main objective of this analysis is to understand how researchers have done data mining in the past and the current data mining developments in educational research. It describes how academic data and learning analytics applied to academic data. EDM uses computational methods to evaluate data concerning education to research questions related to education. This paper discusses the most important studies conducted to date in this area. EDM is implemented and the various user groups, various educational environments/data are defined. The problem solved by data mining techniques in different areas to improve the success of students is addressed.
Experimental Analysis of the co-efficient of static friction between different pairs of surfaces using Horizontal Plane Apparatus
Authors: Hasan Ali
Published: August 2021

This study is based on a quick, simple and reliable Engineering Mechanics laboratory experiment for determining the coefficient of static friction between common as well as different materials. First of all, author determines the performance of the Horizontal plane Apparatus to understand facts and concepts of development of frictional force with respect to applied external force causing motion or tends to cause the motion. The average value of coefficient of friction between wood-wood surface, wood-glass surface and wood-leather surface, using simple plane horizontal apparatus obtained by the author are 0.79, 0.49 and 0.61 respectively. Author compares the same with the available values of coefficient of friction in the literature. The work is extremely useful for B.Tech./M.Tech. Students and research scholars for their project/thesis work.
Impact of applying super resolution to low resolution face images on the performance of deep neural networks
Authors: Moghekar Rajeshwar , Ahuja Sachin
Published: August 2021

Face images captured in unconstrained environment differ in various aspects such as expression, illumination, resolution, occlusion, pose etc. which makes face recognition task difficult. The face images captured by the camera from a distance will have low resolution and lack many finer details that makes face recognition a challenging task. Super resolution (SR) is a process of generating high resolution (HR) images from one or more images. In this work, we apply super resolution to low resolution (LR) images of faces to find the impact on the deep models performance. To achieve this, we create dataset with face images captured in unconstrained environment. Later we designed a CNN model with eight layers and trained on the dataset created. Our deep model with low memory requirement and less parameters achieves an accuracy of 99.75% on test dataset and outperforms fine-tuned VGGFace by a small margin. The performance of our deep neural network and fine-tuned VGGFace was observed on low resolution images pre and post-super resolution. The deep neural network-based model available in OpenCV, SRGAN super resolution model and INTER_CUBIC interpolation are used to generate HR images. The HR images generated by OpenCV, SRGAN are better than INTER_CUBIC interpolation. The results show that HR images generated by applying SR to low resolution face images improve the image quality in terms of Mean squared error (MSE), Structural similarity index measure (SSIM) and Peak to signal noise ratio (PSNR). However, the results indicate that improvement in the image quality does not significantly improve performance of deep model.
Energy Efficient Scheduling in Cloud Computing using Black Widow Optimization
Authors: Kumar Manoj , Suman
Published: August 2021

The delivery of services at IaaS, SaaS, and PaaS levels in Cloud Computing through internet proves to a promising technology. The increase in demand of services of cloud computing increased the creation of cloud datacenters in the world. This leads to increase in demand of energy consumption by datacenter. The integration of green computing with cloud tries to minimize the consumption of power, to minimize their energy costs, and increases their profit. Minimizing the energy consumption with promise of better Quality of Service (QoS) seems to be mutually explosive task for cloud service providers (CSP). To deal with these, a meta-heuristic technique called Energy Efficient Black Widow Optimization based Scheduling algorithm (EEBWOSA) is developed and analyzed in this paper. The special stage of cannibalism which excludes bad solutions will not be used for generating new solution which leads to early convergence. The performance of EEBWOSA is tested on workload taken from HPC2N dataset in CloudSim tool. It exhibits reduction in energy consumption by 25.69% and 13.52% as compared to GA and PSO.
Machine Learning Based Security Solutions in MANETs: State of the art approaches
Authors: Popli Renu , Sethi Monika , Kansal Isha , Garg Atul , Goyal Nitin
Published: August 2021

Machine learning (ML) techniques provide the learning capability to a system and encourage adaptation into the environment, based upon many logical and statistical operations. The prime goal of ML is to recognize the complex patterns and make decisions based on the results. There are various ML algorithms which are implemented to secure the mobile ad-hoc networks. The infrastructure-less environment of MANETs poses a great challenge in implementation of the security systems. The security approaches in MANETs mainly focus on intrusion detection, malicious attacks mitigation, elimination of outlier/misbehavior/selfish nodes and securing routing paths. The researchers have been using cutting edge technologies for providing efficient security solutions by taking into the consideration of dynamic environment of MANETs. These technologies include machine learning, Artificial Intelligence (AI), Genetic Algorithms based methods, biological-inspired algorithms and so on. This paper presents a comprehensive and systematic study of various modern approaches for intensifying security in MANETs.
An Empirical Study for the Deep Learning Models
Authors: Sethi Monika , Ahuja Sachin , Kukreja Vinay
Published: August 2021

Deep Learning (DL) models have tested to be very powerful in solving many hard problems. Especially, those are related to computer vision, text, speech, and classification. However, the blueprint of such models requires large space and elaboration that needs to be examined. Convolutional Neural Network (CNN) is the most popular neural network that can extract the features automatically as compared to conventional machine learning algorithms (CMLA). Our aim in this paper is to lessen the human attempt required to layout architectures by the use of a gadget architecture development process that allows the exploration of huge design space by automating sure version construction, alternative generation, and assessment. The main operations in CNN are Convolution, Pooling, Flattening, Full Connection between the input and output layer. The dataset taken as CIFAR 10 having 60,000 color images of 10 different classes is considered for the study where, various classes represent the images of cars, trucks, frogs, horses, trucks, cats, cars, airplanes, ships, and deer. It is expected that the performance of the CNN model can be further improved by using the deeper network architecture, or by an increasing number of epochs or data augmentation. In this paper, an attempt has been made to explain simple and deeper CNN models on the CIFAR 10 dataset and the comparison has been carried out to check the accuracy achieved from both the models.
RPL Based Routing Protocols for Load Balancing in IoT Network
Authors: Rani Sangeeta , Kumar Ajay , Bagchi Arko , Yadav Snehlata , Kumar Sachin
Published: August 2021

RPL is a directing convention for remote organizations with low force utilization and large defenseless to parcel misfortune. It is a proactive convention dependent on distance vectors and works on IEEE 802.15.4. RPL can uphold a wide assortment of connection layers, including IoT, which is a technology that taking hold of research and industries with a fast tramp. It is a collection of actuators and sensors that collect data which can be processed to produce actual information. Important parameters allied to human body and physical environment data such that humidity, temperature, pressure, pollution etc. have immense significance for computerization, failure recognition, well timed, and appropriate cure. In this manner, IoT network offered ascend to keen urban communities, home mechanization, savvy wellbeing, present day travel strategic and some more. There is a distance vector normalization Routing Protocol for Low force and Lossy organization (RPL) for IoT sending, which relies upon different course improvement Objective functions (OF). These capacities rely upon different networks in the vein of energy like Received Sign Strength Indicator (RSSI) and Expected Transmission tally (ETX) for course streamlining. Course enhancement is influenced by issue of burden adjusting. In this paper, an inclusive survey of existing load balancing schemes, matrices, Objective Functions and different RPL based Routing protocols with reference to load imbalance is represented and highlighted when load balancing merged with the RPL, how it had a great impact.
Analysis of Temperature Effect on the Mass Sensing Capabilities of Boron Nitride Nanotubes
Authors: Deshwal Dinesh , Deshwal Monika , Gaur Nitin
Published: August 2021

In the periodic table, it is mentioned that the closer atoms or just intermediate atoms to Carbon are Boron & Nitrogen. Now Scientists also confirmed that Boron & Nitrogen can form a perfect nanotube structure. Boron Nitride Nanotube (BNNT), possesses a similar tubular nanostructure as carbon nanotube (CNT) but it is composed of the B-N atoms hexagonally. BNNT possesses various properties & its properties can show different-different behavior according to the conditions & environment. Here we are discussing the temperature & its effects on the mass sensing capabilities. Along with this, the various configurations of the BNNT’s are also discussed simultaneously. Due to their superior properties & high effectiveness, these are widely used all over the world.
Study of process conditions on surface roughness in Incremental Forming Process
Authors: Kumar Ajay , Chauhan Mohit , Sandhu Jasminder Kaur , Kumar Amit
Published: August 2021

The employment of a green manufacturing process can directly save energy and materials in industrial sectors. Single Point Incremental Forming (SPIF) is an agile and flexible method of fabricating sheet material components and exempts the use of dedicated die-sets which further makes it a choice of green manufacturing. Furthermore, the customized components can be easily fabricated by SPIF economically. The surface quality of fabricated parts can greatly decide the suitability and sustainability of the process in various applications. This work investigates the impact of significant process factors on the roughness of the parts during the SPIF process. The average roughness has been considered to determine the surface quality. The increment in the value of wall angle and step size resulted in the increment in Ra value of formed components drastically. It was also observed that as the forming angle was raised from a lower level (60°) to a higher level (68°), the Ra value was found to increase significantly.