bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ligustrum Weevil (suggested common name), Ochyromera ligustri Warner (Insecta: Coleoptera: Curculionidae: Tychiinae: Tychiini: Endaeina)
Authors: Cuda James P. , Zellar M. C. , Thomas Michael C. 
Published: July 2021

A seed-attacking weevil was recently found attacking Chinese privet in Tallahassee, Leon County, Florida (Cuda and Zeller 1998). The insect was discovered in a sample of several hundred seeds collected for germination studies. Six weevil adults that emerged from the infested seed sample were later identified (by M.C. Thomas) as the ligustrum weevil, Ochyromera ligustri Warner. The remaining seed stock from Tallahassee was dissected and inspected for the presence of the insect. Weevil larvae were recovered from 89 of the 358 seeds examined. Overall, 24.9% of the Chinese privet seeds collected were infested with weevil larvae. Voucher specimens of the larval and adult stages of the ligustrum weevil were deposited in the Florida State Collection of Arthropods, Division of Plant Industry, Florida Department of Agriculture and Consumer Services, Gainesville. This document is EENY-343, one of a series of Featured Creatures from the Entomology and Nematology Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Published: May 2005.
EENY343/IN620: Ligustrum Weevil (suggested common name), Ochyromera ligustri Warner (Insecta: Coleoptera: Curculionidae: Tychiinae: Tychiini: Endaeina) (ufl.edu)
Human Malaria
Authors: Rutledge-Connelly C. Roxanne , Baker Richard H. , Morris C. D. , Nayar Jai K. 
Published: July 2021

Malaria in humans is a disease transmitted by mosquitoes in the genus Anopheles and caused by any one of four species of microscopic protozoan parasites in the genus Plasmodium (P. vivax, P. falciparum, P. malariae and P. ovale ) distributed throughout the world. Malaria was one of the major endemic diseases in the United States for more than four centuries (Russell, 1968). As recently as 1935, malaria caused 4,000 deaths every year in the United States. However, by the 1940s, the annual death toll had been reduced to 400, and by 1952 it was down to 25 with little or no local transmission. In the United States and elsewhere, malaria was eradicated by draining larval habitats, treating patients with antimalarial drugs, applying mosquito larvicides and adulticides, and screening doors and windows. This document is ENY-630, one of a series of the Entomology and Nematology Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Publication date: July 1990. Revised: July 1998 and May 2005.
ENY630/MG103: Human Malaria (ufl.edu)
Enhancing the Effectiveness of a Professional Pest Management Program
Authors: Fishel Frederick M. 
Published: July 2021

The purpose of this guide is to provide information that will optimize pest control in the home environment when working with a professional pest control operator. This document is PI-39, one of a series of the Pesticide Information Office, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Original publication date April 2005.
PI-39/PI076: Enhancing the Effectiveness of a Professional Pest Management Program (ufl.edu)
Secure Pesticide Storage: Security Against Terrorist Threats
Authors: Fishel Frederick M. 
Published: July 2021

Many farmers and managers of pesticide storage facilities had concerns about biosecurity and agroterrorism even before the Oklahoma City bombing and the September 11, 2001 terrorist attacks on our nation. Businesses that manufacture, reformulate, sell, distribute, transport, store, or apply pesticides have long known the mitigation steps for safety of their workers, customers and communities. In todays age, these efforts may not necessarily be enough. This document is PI-42, one of a series of the Pesticide Information Office, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Original publication date May 2005.
Pesticide Toxicity Profile: Organophosphate Pesticides
Authors: Fishel Frederick M. 
Published: July 2021

This document provides a general overview of human toxicity, provides a listing of laboratory animal and wildlife toxicities and a cross-reference of chemical, common, and trade names of many organophosphate pesticides registered for use in Florida. This document is PI-50, one of a series of the Pesticide Information Office, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Original publication date July 2005.
Anthracnose Fruit Rot of Strawberry
Authors: Mertely James C. , Peres Natalia A. 
Published: July 2021

Anthracnose fruit rot, caused by the fungus Colletotrichum acutatum, is an important disease for strawberry production worldwide. Other species of Colletotrichum, such as C. fragarie and C. gloeosporioides, are less frequently involved in fruit rot. Although fruit rot is the most important symptom caused by C. acutatum, the fungus can also attack other parts of the plant including the crown, leaves, petioles, and roots. This is document PP-207, a publication of the Plant Pathology Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Publication date: March 2005.
PP-207/PP130: Anthracnose Fruit Rot of Strawberry (ufl.edu)
Citrus Diseases Exotic to Florida: Huanglongbing (Citrus Greening)
Authors: Chung Kuang-Ren , Briansky R. H. 
Published: July 2021

Citrus is susceptible to a large number of diseases caused by plant pathogens. Economic losses due to plant diseases can be severe, but fortunately, not all pathogens attacking citrus are present in Florida. There are other serious, exotic pathogens that have not been introduced into Florida. This paper will discuss Huanglongbing (HLB), also commonly called citrus greening. This document is PP-210, one of a series of the Plant Pathology Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Original publication date June 2005.
Best Management Practices in the Everglades Agricultural Area: Soil Testing
Authors: Daroub Samira H. , Diaz Orlando A. , Lang Timothy A. , Chen Ming 
Published: July 2021

The purpose of this document is to outline the process of soil testing as an important tool for both fertilizer recommendations and as a BMP in this region. This EDIS article is one in a series which attempts to explain in easily understandable terms the implementation methods and rationale behind the main P load reducing BMPs employed on EAA farms. This document is Fact Sheet SL-225, one of a series of the Soil and Water Science Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Original publication date July 2005.
SL-225/SS445: Best Management Practices in the Everglades Agricultural Area: Soil Testing (ufl.edu)
Nesting Island Creation for Wading Birds
Authors: White C. Leann , Frederick Peter C. , Main Martin B. , Rodgers, Jr. James A. 
Published: July 2021

Many long-legged wading birds such as little blue herons (Egretta caerulea), great blue herons (Ardea herodius), and great egrets (Ardea albus) nest together in large aggregations called breeding colonies. Although different species vary in their habitat preferences, wading birds have several common requirements for nesting. Colony sites must provide protection from predators, nesting materials, and nearby foraging areas (Hafner 2000). In the past, wading birds nested in natural wetland habitats that are becoming increasingly scarce as wetland habitats are continually altered or degraded to accommodate human needs. The future success of wading bird populations may be determined by how well they cope with manipulated foraging and nesting habitats. In this document, we make recommendations on the creation of nesting islands for long-legged wading birds. This document is CIR1473, one of a series of the Wildlife Ecology and Conservation Department, UF/IFAS Extension. Original publication date May 2005.
CIR1473/UW223: Nesting Island Creation for Wading Birds (ufl.edu)
Pentingnya Membangun Platform Kolaborasi Multi-Stakeholder sebagai Key Enabling Factor dalam Membangun Ekosistem Inovasi Industri 4.0 di Era New Normal
Authors: Utomo Satrio , Harjono Agus Nugroho 
Published: July 2021

Industry 4.0 is an era of technological disruption or industrial revolution 4.0 because it puts more emphasis on system automation and connectivity which will make the mobility of the industrial world movement and job competition non-linear . The use of digital technology is one of the keys. Industry opportunities for industrial development 4.0 are an effort to increase industrial competitiveness, but many industries do not yet understand the concept and how to start the stages. One of the ways proposed as a policy in preparing industry 4.0 should be taken a multi-stakeholder collaborative approach to facilitate development, including gathering digital transformation initiatives so that limited resources can be optimal. As a form of soft industry policy, a platform organization is also needed as a sustainable program manager and provides technical facilities. From a technical point of view, it is necessary to prepare enabling technology that can be utilized by all actors in the cross-sectoral digital economy in an affordable manner. The Ecosystem Platform becomes a medium to be able to build synergy and collaborative across industries with all stakeholders in an effort to accelerate the transformation of industry 4.0 according to the national priority program of Making Indonesia 4.0. In line with that, coordination was carried out between parties in the industrial transformation 4.0 process, as well as building networks to develop positive cooperation, including government, academics or R&D, industry players / associations, technical providers, consultants and of course financial actors in accelerating the industrial transformation process 4.0.
Вибір складу, параметрів робочого процесу і режиму роботи силової установки літального апарата з надзвуковою крейсерською швидкістю польоту
Authors: Шевченко Михайло Анатолійович 
Published: July 2021

The issues of choosing a composition, operating process parameters and operating modes of propulsion for supersonic cruising aircraft providing transoceanic flights are considered. A condition of maximum payload relative mass is used as a criterion for choosing the composition of the propulsion. This criterion can be transformed using the aircraft mass balance equation into a condition of the minimum relative mass of fuel and propulsion. A predictor-corrector method is used to solve the task. Choosing the composition, operating process parameters and operating modes of propulsion according to the cruising segment, taking into account the remaining flight segments takeoff, climb and descent by the empirical coefficients, is used as a predictor stage. Based on the solving results of this stage, the best competing variants of propulsions are selected for the purpose of subsequent more detailed analysis at a corrector stage by numerically solving the differential equations of the aircraft motion along an entire flight profile. At the same time, on each elementary section of the path, the control parameters of the propulsion are optimized according to the criterion of the minimum required fuel consumption to overcome this section. Propulsion with turbojet engine, turbofan and mixed flows turbofan engine, turbo-ramjet engine and turbofan engines that have ramjet modes are considered. Patterns of the change in the relative mass of the fuel and propulsion for the indicated compositions of the propulsions according to cruising segment of the flight for the cruising speeds corresponding to the M = 1.5...4 are established. These dependencies make it possible to select variants of propulsion competing in terms of payload for a cruising speed or select the most advantageous cruising speed for propulsion composition which is given. These dependencies were used to determine competing variants of the power plant, providing a minimum of the relative mass of fuel and propulsion for the airplane with a cruising speed corresponding to the M = 3. At the stage of the corrector, these variants of the propulsion were evaluated according to the criterion of the relative mass of fuel and propulsion by solving the equations of the aircraft motion along the entire flight profile with the optimization of the control parameters of the propulsion on each elementary segment of the profile according to the criterion of minimum fuel consumption to overcome it. In doing so, the operating process parameters of the propulsion were optimized near of those values that were obtained at the stage of the predictor. The analysis of the obtained results indicates that, in comparison with the predictor stage at the corrector stage, the parameters of the propulsion operating process that are optimal from the point of view of the relative mass of fuel and propulsion changed by about 12.5 %, and the relative mass of fuel and propulsion by about 3...4 %.
Hubungan Pengetahuan Perawat tentang COVID-19 dengan Tingkat Stres dalam Merawat Pasien COVID-19
Authors: Sihombing Hendro W , Septimar Zahra Maulidia 
Published: July 2021

Latar belakang: Pandemi COVID-19 telah menjadi ancaman besar bagi kesehatan masyarakat khususnya perawat. Perawat sebagai garda terdepan rentan mengalami gangguan psikologis seperti stres dan depresi. Tujuan: untuk mengetahui hubungan pengetahuan perawat tentang COVID-19 dengan tingkat stress perawat dalam merawat pasien COVID-19. Metode: Jenis penelitian deskriptif analitik dengan pendekatan cross sectional. Populasi yang digunakan oleh peneliti adalah perawat yang bekerja di Rumah Sakit yang berada di wilayah Provinsi Banten dan DKI Jakarta dengan jumlah sampel sebanyak 396 orang. Pengambilan sampel secara non-probability sampling dengan teknik accidental sampling dengan menggunakan lembar kuesioner analisa secara univariat dan bivariat dengan uji Chi-Square. Hasil penelitian: Mayoritas responden memiliki pengetahuan cukup tentang Covid-19 yaitu 230 (58,1%) dan Â mengalami tingkat stres sedang dalam merawatpasien Covid-19 yaitu 245 (61,9%). Analisis hubungan pengetahuan dengan tingkat stress perawat diperoleh p Value= 0,004. Kesimpulan: ada hubungan antara pengetahuan perawat dengan tingkat stres dalam merawat pasien Covid-19.
The Need for Purposeful Teaching, Learning and Assessment of Crisis Resource Management Principles and Practices in the Undergraduate Pre-Hospital Emergency Care Curriculum: A Narrative Literature Review
Authors: Rowland Mugsien , Adefuye Anthonio Oladele , Vincent-Lambert Craig 
Published: July 2021

Introduction Traditionally, undergraduate emergency medical care (EMC) training programs have, over the years, typically focussed on developing individuals with proficiency in clinical skills who can perform complex procedures in the act of administering safe and effective emergency care in the pre-hospital setting. A shortcoming of this training relates to the attention given to the soft skills needed to work efficiently in a team-based environment. Crisis resource management (CRM) is a structured, evidence-based approach to training that is designed to enhance teamwork performance in critical circumstances where the absence of coordinated teamwork could lead to undesired outcomes. Methods A narrative review of GOOGLE SCHOLAR, MEDLINE, PUBMED, CINAHL as well as paramedic-specific journals was conducted. Articles were included if they examined the importance of CRM in pre-hospital emergency care; training undergraduate pre-hospital emergency care students on the principles and practices of CRM; and non-technical skills in pre-hospital emergency care. Discussion Researchers found limited articles related to CRM and the pre-hospital emergency care setting. Our findings reveal that CRM focusses on addressing non-technical skills necessary for effective teamwork and that those identified to be relevant for effective teamwork in pre-hospital emergency care setting include situation awareness, decision-making, verbal communication, teamwork as well as leadership and followership skills. Conclusion Effective team management is a core element of expert practice in emergency medicine. When practised in conjunction with medical and technical expertise, CRM can reduce the incidence of clinical error and contribute to effective teamwork and the smooth running of a pre-hospital emergency care plan.
Penerapan Metode Klasterisasi K-Means untuk Strategi Promosi Pada SMK Tamansiswa Sukadamai
Authors: Purwanti Teti , Ramdhan William , Santoso Santoso 
Published: July 2021

Abstract: SMK Tamansiswa Sukadamai is one of the private schools in Pulo Bandring District which annually admits new students, this will affect the amount of student data that goes up and down. So far, SMK Tamansiswa Sukadamai has implemented a promotional strategy but it is still not optimal because the number of students registered at SMK Tamansiswa Sukadamai is more dominant in certain areas. Based on this, we need a technique that is able to assist in transforming the data into useful information, namely by applying data mining for promotional strategies, which can be the basis or guideline for promotional strategies based on areas where there are not many students present. The application of the k-means clustering method for promotional strategies can assist in the data grouping process in the form of data grouping results for C1 "Potential" and C2 "Potential", where C1 is the right area for more optimal promotion so that promotion is more effective and efficient. With the development of this clustering system, it can provide input to schools to determine which areas are more optimal for more in-depth promotion. Keywords: Promotion Strategy; Application of the K-means clustering method Abstrak: SMK Tamansiswa Sukadamai merupakan salah satu sekolah swasta yang ada di Kecamatan Pulo Bandring yang setiap tahunnya melakukan penerimaan siswa baru, hal ini akan berpengaruh pada jumlah data siswa yang pasang surut. Selama ini SMK Tamansiswa Sukadamai telah melakukan strategi promosi akan tetapi masih belum optimal dikarenakan jumlah siswa yang terdaftar di SMK Tamansiswa Sukadamai lebih dominan berasal di wilayah tertentu saja. Berdasarkan hal tersebut diperlukan suatu teknik yang mampu membantu dalam mentransformasikan data tersebut menjadi informasi yang berguna yaitu dengan menerapkan data mining untuk strategi promosi, yang dapat menjadi dasar atau pedoman untuk strategi promosi berdasarkan wilayah yang tidak banyak dalam menghadirkan siswanya. Penerapan metode klasterisasi k-means untuk strategi promosi dapat membantu dalam proses pengelompokan data dalam bentuk hasil pengelompokan data C1 “Berpotensi” dan C2 “Tidak Berpotensi”, dimana C1 merupakan wilayah yang tepat untuk dilakukan promosi yang lebih optimal sehingga promosi lebih efektif dan efisien. Dengan dikembangkannya sistem klasterisasi ini, maka dapat memberikan masukan kepada pihak sekolah untuk menentukan wilayah yang lebih optimaluntuk promosi lebih mendalam. Kata kunci: Strategi Promosi; Penerapan metode Klasterisasi K-Means
REALISASI FRASA ATRIBUTIF DALAM WACANA NARASI MAHASISWA UNIVERSITAS BINA DARMA DAN APLIKASINYA DALAM PEMBELAJARAN
Authors: Muchti Andina 
Published: July 2021

This research will describe attributive endocentric phrases in the narration text student of Bina Darma University, and the application of Bahasa Indonesia learning, especially material for editing phrases. The method used in this research is a qualitative description method. This data research is in the form of words and phrases. The data source for this research is the narrative story student of Bina Darma University. The data collection technique used was the reading and note taking technique. Data analysis using descriptions. The research results presented in this article as a sample are 5 data. The data is intended to be realized in Indonesian language learning, especially the material of editing phrases. The realization of the results of the analysis of attributive endocentric phrases in learning can be applied in the teaching material for editing phrases. The teacher can use the results of the analysis as teaching material in the learning process which is conveyed in the lesson plan
Prediction of Tumor Shrinkage Pattern to Neoadjuvant Chemotherapy Using a Multiparametric MRI-Based Machine Learning Model in Patients With Breast Cancer
Authors: Huang Yuhong , Chen Wenben , Zhang Xiaoling , He Shaofu , Shao Nan , Shi Huijuan , Lin Zhenzhe , Wu Xueting , Li Tongkeng , Lin Haotian , Lin Ying 
Published: July 2021

Aim: After neoadjuvant chemotherapy (NACT), tumor shrinkage pattern is a more reasonable outcome to decide a possible breast-conserving surgery (BCS) than pathological complete response (pCR). The aim of this article was to establish a machine learning model combining radiomics features from multiparametric MRI (mpMRI) and clinicopathologic characteristics, for early prediction of tumor shrinkage pattern prior to NACT in breast cancer.Materials and Methods: This study included 199 patients with breast cancer who successfully completed NACT and underwent following breast surgery. For each patient, 4,198 radiomics features were extracted from the segmented 3D regions of interest (ROI) in mpMRI sequences such as T1-weighted dynamic contrast-enhanced imaging (T1-DCE), fat-suppressed T2-weighted imaging (T2WI), and apparent diffusion coefficient (ADC) map. The feature selection and supervised machine learning algorithms were used to identify the predictors correlated with tumor shrinkage pattern as follows: (1) reducing the feature dimension by using ANOVA and the least absolute shrinkage and selection operator (LASSO) with 10-fold cross-validation, (2) splitting the dataset into a training dataset and testing dataset, and constructing prediction models using 12 classification algorithms, and (3) assessing the model performance through an area under the curve (AUC), accuracy, sensitivity, and specificity. We also compared the most discriminative model in different molecular subtypes of breast cancer.Results: The Multilayer Perception (MLP) neural network achieved higher AUC and accuracy than other classifiers. The radiomics model achieved a mean AUC of 0.975 (accuracy = 0.912) on the training dataset and 0.900 (accuracy = 0.828) on the testing dataset with 30-round 6-fold cross-validation. When incorporating clinicopathologic characteristics, the mean AUC was 0.985 (accuracy = 0.930) on the training dataset and 0.939 (accuracy = 0.870) on the testing dataset. The model further achieved good AUC on the testing dataset with 30-round 5-fold cross-validation in three molecular subtypes of breast cancer as following: (1) HR+/HER2–: 0.901 (accuracy = 0.816), (2) HER2+: 0.940 (accuracy = 0.865), and (3) TN: 0.837 (accuracy = 0.811).Conclusions: It is feasible that our machine learning model combining radiomics features and clinical characteristics could provide a potential tool to predict tumor shrinkage patterns prior to NACT. Our prediction model will be valuable in guiding NACT and surgical treatment in breast cancer.