bluuebunny/crossref_metadata_2025 huggingface dataset:
Frameworks used in cluttering treatments: Past, present, and future
Authors: Duchan Judith Felson
Published: October 2021

BACKGROUND: This integrative review is of two literatures on cluttering treatments. It integrates into those two reviews a third literature to show an alternative way for cluttering to be treated in the future. OBJECTIVE: The aim is to encourage professionals involved in treating those who clutter to reflect on how conceptual frameworks can affect their treatment choices. METHODS: Works from three literatures on interventions are examined. Literatures covering two historic periods of cluttering treatments are compared to one another and to a third literature that offers an alternative framework for working with those who clutter. RESULTS: Treatment approaches to cluttering have almost universally focused on remediating impairments associated with the disorder. This impairment focus flows from a medical model –a model that views cluttering as a disease, located in the person, in need of remediation. An alternative framework, called the social model, one that focuses on the social conditions surrounding cluttering, is reviewed for its applicability to cluttering therapy. CONCLUSIONS: The medical model, used by authors since cluttering first appeared in the literature, carries within it assumptions about the selection and sequencing of clinical goals aimed at reducing cluttering symptoms. The social model alternative would likely shift the focus to working on ways for promoting the life participation of those who clutter. The applicability of social model practices to the treatment of cluttering is explored and encouraged.
Explaining transformer-based image captioning models: An empirical analysis
Authors: Cornia Marcella , Baraldi Lorenzo , Cucchiara Rita
Published: October 2021

Image Captioning is the task of translating an input image into a textual description. As such, it connects Vision and Language in a generative fashion, with applications that range from multi-modal search engines to help visually impaired people. Although recent years have witnessed an increase in accuracy in such models, this has also brought increasing complexity and challenges in interpretability and visualization. In this work, we focus on Transformer-based image captioning models and provide qualitative and quantitative tools to increase interpretability and assess the grounding and temporal alignment capabilities of such models. Firstly, we employ attribution methods to visualize what the model concentrates on in the input image, at each step of the generation. Further, we propose metrics to evaluate the temporal alignment between model predictions and attribution scores, which allows measuring the grounding capabilities of the model and spot hallucination flaws. Experiments are conducted on three different Transformer-based architectures, employing both traditional and Vision Transformer-based visual features.
Sensitivity and Specificity in Urine Bladder Cancer Markers – Is it that Simple?
Authors: Roghmann Florian , Goebell Peter J. , Dyrskjøt Lars , van Rhijn Bas W.G. , Käfferlein Heiko U. , Hakenberg Oliver , Stenzl Arnulf , Burger Maximilian , Pesch Beate , Benderska-Söder Natalya , Schmitz-Dräger Bernd J.
Published: October 2021

Marker research, and in particular urine bladder cancer marker research throughout the past three decades, devours enormous scientific resources in terms of manpower (not to mention time spent on reviewing and editorial efforts) and financial resources, finally generating large numbers of manuscripts without affecting clinical decision making. This is mirrored by the fact that current guidelines do not recommend marker use due to missing level 1 evidence.

Although we recognize the problems and obstacles, the authors of this commentary feel that the time has come to abandon the current procedures and move on to prospective trial designs implementing marker results into clinical decision making. Our thoughts and concerns are summarized in this comment.
Double-authentication-preventing signatures in the standard model1
Authors: Catalano Dario , Fuchsbauer Georg , Soleimanian Azam
Published: October 2021

A double-authentication preventing signature (DAPS) scheme is a digital signature scheme equipped with a self-enforcement mechanism. Messages consist of an address and a payload component, and a signer is penalized if she signs two messages with the same addresses but different payloads. The penalty is the disclosure of the signer’s signing key. Most of the existing DAPS schemes are proved secure in the random oracle model (ROM), while the efficient ones in the standard model only support address spaces of polynomial size. We present DAPS schemes that are efficient, secure in the standard model under standard assumptions and support large address spaces. Our main construction builds on vector commitments (VC) and double-trapdoor chameleon hash functions (DCH). We also provide a DAPS realization from Groth–Sahai (GS) proofs that builds on a generic construction by Derler et al., which they instantiate in the ROM. The GS-based construction, while less efficient than our main one, shows that a general yet efficient instantiation of DAPS in the standard model is possible. An interesting feature of our main construction is that it can be easily modified to guarantee security even in the most challenging setting where no trusted setup is provided. To the best of our knowledge, ours seems to be the first construction achieving this in the standard model.
Image emotion distribution learning based on enhanced fuzzy KNN algorithm with sparse learning
Authors: Zhu Yunwen , Zhang Wenjun , Zhang Meixian , Zhang Ke , Zhu Yonghua
Published: October 2021

With the trend of people expressing opinions and emotions via images online, increasing attention has been paid to affective analysis of visual content. Traditional image affective analysis mainly focuses on single-label classification, but an image usually evokes multiple emotions. To this end, emotion distribution learning is proposed to describe emotions more explicitly. However, most current studies ignore the ambiguity included in emotions and the elusive correlations with complex visual features. Considering that emotions evoked by images are delivered through various visual features, and each feature in the image may have multiple emotion attributes, this paper develops a novel model that extracts multiple features and proposes an enhanced fuzzy k-nearest neighbor (EFKNN) to calculate the fuzzy emotional memberships. Specifically, the multiple visual features are converted into fuzzy emotional memberships of each feature belonging to emotion classes, which can be regarded as an intermediate representation to bridge the affective gap. Then, the fuzzy emotional memberships are fed into a fully connected neural network to learn the relationships between the fuzzy memberships and image emotion distributions. To obtain the fuzzy memberships of test images, a novel sparse learning method is introduced by learning the combination coefficients of test images and training images. Extensive experimental results on several datasets verify the superiority of our proposed approach for emotion distribution learning of images.
On development of multi-resolution detector for tomato disease diagnosis
Authors: Guo Dugang , Liu Jun , Wang Xuewei
Published: October 2021

Plant disease is one of the major threats to food security. Accurate diagnosis of plant diseases can benefit the agricultural production. For the purpose of real-time plant disease diagnostics, the deep learning models are employed. In this study, we present an accurate identification method for common diseases of tomatoes based on deep-learning methods. The devising of multi-resolution detector, in line with bounding box generating and assigning, facilitates the feature extracting process of detection. The employment of an dropout and ADAMW (Adaptive moment estimation with decoupled weight decay) optimizer further resolve the overfitting problem. Using the collected images of healthy and diseased tomatoes, our detector is trained to identify 10 different diseases. Experimental results showed that the disease identification method proposed in this study could accurately and rapidly identify common diseases of tomato with an average accuracy of 85.03%and a recognition speed of 61 frames per second, which was superior to other models under the same conditions and was beneficial for tomato disease control work.
Framed Recurrent Neural Network with Mutated Dragonfly Search Optimization (FRNN-MDSO) for hyperspectral image based face recognition in real time door locking applications
Authors: Rai Ashok Kumar , Senthilkumar Radha , Aruputharaj Kannan
Published: October 2021

Face recognition is one of the best applications of computer recognition and recent smart house applications. Therefore, it draws considerable attention from researchers. Several face recognition algorithms have been proposed in the last decade, but these methods did not give the efficient outcome. Therefore, this work introduces a novel constructive training algorithm for smart face recognition in door locking applications. The proposed Framed Recurrent Neural Network with Mutated Dragonfly Search Optimization (FRNN-MDSO) Strategy is applied to face recognition application. The steady preparing system has been utilized where the training designs are adapted steadily and are divided into completely different modules. The facial feature process works on global and local features. After the feature extraction and selection process, employ the improved classifier followed by the Framed Recurrent Neural Network classification technique. Finally, the face image based on the feature library can be identified. The proposed Framed Recurrent Neural Network with Mutated Dragonfly Search Optimization starts with a single training pattern using Bidirectional Encoder Representations from Transformers (BERT) model. During network training, the Training Data (TD) decrease the Mean Square Error (MSE) while the matching process increases the algorithms generated which are trapped at the local minimum. The training data have been trained to increase the number of input forms (one after the other) until all the forms are selected and trained. An FRNN-MDSO based face recognition system is built, and face recognition is tested using hyperspectral Database parameters. The simulation results indicate that the proposed method acquires the associate grade optimum design of FRNN with MDSO methodology using the present constructive algorithm and prove the proposed FRNN-MDSO method’s effectiveness compared to the conventional architecture methods.
Robust image data hiding method based on multiple backups and pixel bit weight
Authors: Dong Yu , Zhang Xianquan , Yu Chunqiang , Tang Zhenjun , Xia Guoen
Published: October 2021

Digital images are easily corrupted by attacks during transmission and most data hiding methods have limitations in resisting cropping and noise attacks. Aiming at this problem, we propose a robust image data hiding method based on multiple backups and pixel bit weight (PBW). Especially multiple backups of every pixel bit are pre-embedded into a cover image according to a reference matrix. Since different pixel bits have different weights, the most significant bits (MSBs) occupy more weights on the secret image than those of the least significant bits (LSBs). Accordingly, some backups of LSBs are substituted by the MSBs to increase the backups of MSBs so that the quality of the extracted secret image can be improved. Experimental results show that the proposed algorithm is robust to cropping and noise attacks for secret image.
Improving U-Net architecture and graph cuts optimization to classify arterioles and venules in retina fundus images
Authors: Binh Nguyen Thanh , Hien Nguyen Mong , Tin Dang Thanh
Published: October 2021

The central retinal artery and its branches supply blood to the inner retina. Vascular manifestations in the retina indirectly reflect the vascular changes and damage in organs such as the heart, kidneys, and brain because of the similar vascular structure of these organs. The diabetic retinopathy and risk of stroke are caused by increased venular caliber. The degrees of these diseases depend on the changes of arterioles and venules. The ratio between the calibers of arterioles and venules (AVR) is various. AVR is considered as the useful diagnostic indicator of different associated health problems. However, the task is not easy because of the lack of information of the features being used to classify the retinal vessels as arterioles and venules. This paper proposed a method to classify the retinal vessels into the arterioles and venules based on improving U-Net architecture and graph cuts. The accuracy of the proposed method is about 97.6%. The results of the proposed method are better than the other methods in RITE dataset and AVRDB dataset.
Social distance capacity to control the COVID-19 pandemic: A systematic review on time series analysis
Authors: Khosravizadeh Omid , Ahadinezhad Bahman , Maleki Aisa , Najafpour Zahra , Golmohammadi Rohollah
Published: October 2021

BACKGROUND: Reducing interpersonal contact has been one of the least expensive and most widely used COVID-19 control strategies. OBJECTIVE: This systematic review has been conducted with the aim of identifying social distancing strategies and policies and their impact on the COVID-19 pandemic. METHODS: In order to compile this systematic review, Google Scholar, PubMed, Scopus, Web of Science, Science Direct, Magiran, SID, and Irandoc databases were searched from the COVID-19 outbreak until March 2021. Keywords included “social”, “physical”, “distance”, “outbreak”, “incidence”, “prevalence”, “spread”, “new case”, “death*”, “mortality*”, “morbidity*” , “covid-19”, “coronavirus”, “sars-cov-2” and “time series*”. The articles were qualitatively evaluated by two researchers using the STROBE tool. Finally, the study data were divided into three conceptual categories by three researchers, who then agreed on one category. The practical suggestions were also categorized in the same way. RESULTS: The policies and strategies adopted to implement social distancing were included in five categories of restrictions, prohibitions, closures, incentives, and punishments. Transportation and travel restrictions, crowded places and schools closure, use of telecommunications and virtual communications, and financial and psychological support to society members were the main policies in this area. CONCLUSION: Rapid and complete vaccination of all people around the world is out of reach, therefore social distancing and the implementation of physical restraints, especially in crowded and densely populated environments, should be done extensively until COVID-19 is eradicated.
Sarcomatoid Renal Cell Carcinoma: The Present and Future of Treatment Paradigms
Authors: Candelario Nellowe , Geiger Christopher , Flaig Thomas
Published: October 2021

Sarcomatoid renal cell carcinoma (sRCC) is an aggressive form of kidney cancer that is associated with poor prognosis. It can arise from any histologic type of renal cell carcinoma. The majority of cases will present with advanced or metastatic disease requiring systemic therapy. Nephrectomy is the treatment of choice in locally resectable disease. The therapeutic options for sRCC have evolved in the past decade. Cytotoxic chemotherapy and monotherapy with targeted therapy (VEGF and mTOR) have historically shown poor response rates and survival in the treatment of metastatic sRCC. The use of checkpoint inhibitors and their combination with targeted therapy against VEGF has changed the landscape and outcomes for renal cell carcinoma. Given the rarity of sRCC most of the data on treatment is from small cohorts or extrapolation from larger clinical trials. The benefit from the combination of checkpoint inhibitors and targeted therapy to VEGF has shown promise in the sRCC population in post hoc analysis of large clinical trials. Future research focusing on further characterizing the unique biologic and clinical features of sRCC is critical in advancing the knowledge and developing effective therapy to improve clinical outcomes and survival.
Improve the clinical effective decision of the oral feeding readiness in preterm infants: Revise and validate the TC-POFRAS
Authors: Hao G. , Ni A. , Chang Y.J. , Hall K. , Lee S.H. , Chiu H.T. , Yang S.F. , Sheu K.L. , Chen S.C.
Published: October 2021

BACKGROUND: Currently there is limited information to guide health professionals regarding the optimal time frame to initiate safe and effective oral feedings to preterm infants. The study aims to revise and validate a streamlined version of the Traditional Chinese-Preterm Oral Feeding Readiness Assessment Scale, the TC-POFRAS®, and evaluate its construct validity in the clinical decisions regarding feeding readiness of preterm infants. METHODS: Eighty-one clinically stable preterm infants were assessed using the TC-POFRAS for oral feeding readiness. Item-total correlation analysis was used to check if any item was inconsistent with the averaged TC-POFRAS scores. Cronbach’s α coefficient was used to evaluate the inter-item consistency. Exploratory factor analysis was used to determine the coherence of variables to reorganize assessment domains. The revised version of TC-POFRAS (TC-POFRAS®) was developed and a new cut-off score based on discriminant accuracy was established. RESULTS: Based on the results from statistical analysis, five items (“lips posture,” “tongue posture,” “biting reflex,” “gag reflex,” and “tongue cupping”) were deleted from the original TC-POFRAS to form the TC-POFRAS®. The TC-POFRAS®’s global accuracy was 92.1%. The cut-off value of 19 was the one that presented the most optimization of sensitivity based on specificity. The TC-POFRAS® was reconstructed into corrected gestational age and five behavioral domains. CONCLUSIONS: The TC-POFRAS® is considered a valid, safe, and accurate objective instrument to assist health professionals to initiate oral feeding of preterm infants.
How a Service User Knows the Level of Privacy and to Whom Trust in pHealth Systems?
Authors: Ruotsalainen Pekka , Blobel Bernd
Published: October 2021

pHealth is a data (personal health information) driven approach that use communication networks and platforms as technical base. Often it’ services take place in distributed multi-stakeholder environment. Typical pHealth services for the user are personalized information and recommendations how to manage specific health problems and how to behave healthy (prevention). The rapid development of micro- and nano-sensor technology and signal processing makes it possible for pHealth service provider to collect wide spectrum of personal health related information from vital signs to emotions and health behaviors. This development raises big privacy and trust challenges especially because in pHealth similarly to eCommerce and Internet shopping it is commonly expected that the user automatically trust in service provider and used information systems. Unfortunately, this is a wrong assumption because in pHealth’s digital environment it almost impossible for the service user to know to whom to trust, and what the actual level of information privacy is. Therefore, the service user needs tools to evaluate privacy and trust of the service provider and information system used. In this paper, the authors propose a solution for privacy and trust as results of their antecedents, and for the use of computational privacy and trust. To answer the question, which antecedents to use, two literature reviews are performed and 27 privacy and 58 trust attributes suitable for pHealth are found. A proposal how to select a subset of antecedents for real life use is also provided.
Data-Driven Modeling of Complex Business Process in Heterogeneous Environment of Healthcare Organization with Health Information Systems
Authors: Kshenin Alexander , Kovalchuk Sergey
Published: October 2021

Business process modeling aims to construct digital representations of processes being executed in the company. However, models derived from the event logs of their execution tend to overcomplicate the desired representation, making them difficult to apply. The most accurate recovery of the business process model requires a comprehensive study of the various artifacts stored in the company’s information system. This paper, however, aims to explore the possibility to automatically obtain the most accurate model of business process, using mutual optimization of models recovered from a set of event logs. Further, the obtained models are executed in multi-agent simulation model of company, and the resulting event logs are examined to determine patterns that are specific to distinct employees and those that generally characterize business process.
A New Paradigm for Ensuring Digital Drug Care Quality Monitoring Based on Ontology Tools
Authors: Lugovkina Tatiana , Gorshkov Sergey , Svalov Evgeniy
Published: October 2021

Systematizing and conceptualizing of the components of the patient’s diagnosis at definite Clinical Situations are the important steps in constructing the medical electronic platforms to monitor the drug treatment quality and to realize the process of risk-management of drug care. The risk-management is a hard and expensive process for the non-profit hospitals. The Information technologies have a high potential for solving these problems. The conceptual schemes to construct the multimodal medical electronic platform were discussed. The Information Space of Clinical Practice, Information Field for formulating the detailed patient’s diagnosis at the definite Clinical Situations, Information Environment for the components of the detailed patient’s diagnosis were described.
A User-Centered, Integrated Model to Improve Medication Prescription, Administration and Adherence in Switzerland
Authors: Blondon Katherine , Ehrler Frederic
Published: October 2021

Medication adherence remains an obstacle for the ideal medical care. Communication issues arise between care-providers, and the patient is left to deal with potentially conflicting information. The new electronic patient record (EPR) that will soon be implemented nationally opens new perspectives to improve patient medication management. In this context, we propose an integrated model that could help further empower the patient with better communication about medications and considerations for reconciliation processes. We discuss important considerations for our proposed solution.
Social Media Chatbot for Increasing Physical Activity: Usability Study
Authors: Larbi Dillys , Gabarron Elia , Denecke Kerstin
Published: October 2021

Fully automated self-help interventions integrated with social media chatbots could serve as highly cost-effective physical activity promotion tools for a large population. We have developed MYA, a Telegram-based chatbot for increasing physical activity. The objective of this study was to assess the usability of MYA. To identify usability issues, we recruited volunteers and asked them to interact with MYA and to answer the Chatbot Usability Questionnaire. Thirty volunteers participated in the study, 83.3% agreed MYA was welcoming during initial setup and 63.3% agreed MYA was very easy to use. MYA was perceived as realistic and engaging, easy to navigate, and its responses were useful, appropriate, and informative (all 53.3%). However, 63.3% of respondents agreed MYA failed to recognize most of their inputs, and 43.3% claimed it would be easy to get confused when using MYA. Although the results are encouraging, it remains unclear if a social media chatbot can motivate people to increase their physical activity. MYA has the potential to do that, with improvements in functionalities like challenge personalization. The efficacy of these approaches should be studied in a clinical trial.
Implementation of Privacy and Security for a Genomic Information System
Authors: Delgado Jaime , Llorente Silvia , Reig Guillem
Published: October 2021

Genomic information is key for the implementation of real personalized medicine. Nevertheless, access to this kind of information must be controlled because of its high privacy and security requirements. Several genomic information formats exist, although we have started from MPEG-G as it includes metadata and protection mechanisms since its inception and provides a hierarchical structure to organize the information contained. The proposed GIPAMS modular architecture provides a secure and controlled access to genomic information, which may help on improving personalized medicine as described in this paper.
Automatic Extraction and Decryption of Abbreviations from Domain-Specific Texts
Authors: Egorov Michil , Funkner Anastasia
Published: October 2021

This paper explores the problems of extraction and decryption of abbreviations from domain-specific texts in Russian. The main focus are unstructured electronic medical records which pose specific preprocessing problems. The major challenge is that there is no uniform way to write medical histories. The aim of the paper is to generalize the way of decrypting abbreviations from any variant of text. A dataset of nearly three million medical records was collected. A classifier model was trained in order to extract and decrypt abbreviations. After testing the proposed method with 224,307 records, the model showed an F1 score of 93.7% on a valid dataset.
Treatment Trajectories Graph Compression Algorithm Based on Cliques
Authors: Milykh Svetozar , Kovalchuk Sergey
Published: October 2021

Learning treatment methods and disease progression is significant part of medicine. Graph representation of data provides wide area for visualization and optimization of structure. Present work is dedicated to suggest method of data processing for increasing information interpretability. Graph compression algorithm based on maximum clique search is applied to data set with acute coronary syndrome treatment trajectories. Results of compression are studied using graph entropy measures.
Evaluation and empirical research on the operation effect of the risk precontrol management system of safety in coal mines based on OSWM-TOPSIS
Authors: Liu Quanlong , Zhao Pan , Zhang Yueqian , Li Xinchun
Published: October 2021

BACKGROUND: Most studies have focused on the establishment and application of the risk precontrol management system for safety in coal mines and have seldom considered the evaluation of the system operation effect. OBJECTIVE: This study aimed to evaluate the operation effect of risk precontrol management system of safety in coal mines and propose policy suggestions to improve the risk precontrol management level of safety. METHODS: This study applied the Objective and Subjective Weighting Method (OSWM) combined with the Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) to conduct evaluation and empirical research on the operation effect of the risk precontrol management system of safety in coal mines. RESULTS: First, the evaluation index system is mainly composed of six first-level indicators and 30 subordinate secondary indicators. Second, the OSWM combined with TOPSIS is an effective method for operation effect evaluation, which yields accurate and undistorted evaluation results. Third, the calculation reference value of the operation effect in the Gengcun coal mine is 57.34, and its corresponding effect level is level III, which is basically effective. Moreover, the calculation reference values of production equipment management (P4) and inspection, audit and review (P6) are the lowest, while the calculation reference values of risk precontrol management (P1) and auxiliary management (P5) reach the critical value corresponding to effect level I, which indicates a good operation effect. CONCLUSIONS: Corresponding policy suggestions to improve the risk precontrol management level in the Gengcun coal mine are proposed based on the above evaluation results.
A comparison of coupled microeconomic and mental health devastating alterations between low-income and affluent countries afflicted with COVID-19
Authors: Chu Xinxin
Published: October 2021

BACKGROUND: The exponential increase in the rate of individuals’ affliction by SARS-CoV-2 (COVID-19) has put extreme strains on health care systems worldwide and has sparked fears of an impending economic recession and mental turmoil. OBJECTIVE: The review discusses the impact of COVID-19 on medical crises in two sections, focusing on the evidence presented from both neuropathological and epidemiological perspectives. First, this paper outlines how countries have implemented containment and appraises its effect on the microeconomy. Second, it highlights how government support for the economic crisis caused by COVID-19 depends on the size of a country’s economy. Third, it attempts to explain how COVID-19 has affected business by explicitly evaluating each industry divided into primary, secondary, and tertiary sectors. Finally, we assert an extended discussion on the challenges and post-pandemic outlook. METHODS: Peer-reviewed studies from inception until 2021 were searched in the Google scholar, PubMed, and Scopus databases. RESULTS: Through the imposition of restrictions and lockdown measures to contain the COVID-19 pandemic spread, besides arising a broad array of mental health concerns, a drastic drop in liquidity and significant spillover effect across almost all the global economic system has ensued. CONCLUSION: The COVID-19 implication on socioeconomic issues and mental wellbeing, as the most devastating sequelae of the current pandemic, is of great importance to curb the infection and deprive post-pandemic sequelae, demanding prompt actions.
Headlines for Health! Clean Sweep
Authors: Jordan Joy C. , Lee Hyun-Jeong , Williams Susan , Kochert Jessica
Published: October 2021

4HL HE70 is a multi-part 4-H curriculum by Joy Jordan, Hyun-Jeong Lee, Susan Williams, and Jessica Kochert. A series of six lessons targeted to 5th grade youth covers hazardous household products, mold, lead, radon, air pollution, and asthma triggers. Each lesson is mapped to relevant Sunshine State Standards. Published by the UF Department of Family, Youth and Community Sciences, January 2007.
Benefits of Cover Crops for Soil Health
Authors: Newman Yoana C. , Wright David L. , Mackowiak Cheryl , Scholberg J.M.S. , Cherr C. M.
Published: October 2021

SS-AGR-272, a 4-page fact sheet by Y.C. Newman, D.W. Wright, C. Mackowiak, J.M.S. Scholberg and C.M. Cherr, discusses the benefits of cover crops in agricultural production, the benefits of soil organic matter; how to match cover crop nutrient release with future crop demand; timing and depth of residue incorporation; and erosion, pest and weed control. Includes references. Published by the UF Department of Agronomy, November 2007.
SS AGR 272/AG277: Benefits of Cover Crops for Soil Health (ufl.edu)
Control of Hard to Manage Weeds along Highway Rights-of-Way
Authors: Ferrell Jason , Langeland Ken
Published: October 2021

SS-AGR-275, a 4-page fact sheet by Jason Ferrell and Ken Langeland, provides two tables of recommendations for control of upland weeds and aquatic vegetation. Published by the UF Department of Agronomy, September 2007.
Spiny Amaranth (spiny pigweed) Control in Pastures
Authors: Ferrell Jason A. , Sellers Brent
Published: October 2021

SS-AGR-288, a 3-page illustrated fact sheet by Jason Ferrell and Brent Sellers, describes this summer annual with sharp spines which is common in Florida pastures, especially around feeding pens and water troughs. Includes control recommendations. Published by the UF Department of Agronomy, October 2007.
SS-AGR-288/AG292: Spiny Amaranth (Spiny Pigweed) Control in Pastures (ufl.edu)
Management Considerations for Wheat Production in Florida
Authors: Wright David L. , Blount Ann R. , Barnett Ronald D. , Mackowiak Cheryl L. , Marois James
Published: October 2021

SS-AGR-289, a 3-page fact sheet by D.L. Wright, A.R. Blount, R.D. Barnett, C.L. Mackowiak and J. Marois, lists production practices for small grains in Florida, including field selection, crop rotation, tillage, variety selection, planting period, seeding rates and tilth, rows, weed control, fertility at planting, nitrogen and sulfur application, fungicides, irrigation, harvest, and economics. Published by the UF Department of Agronomy, October 2007.
SS-AGR-289/AG293: Management Considerations for Wheat Production in Florida (ufl.edu)
Put the Pressure on Your Cows for Performance
Authors: Carter Jeffrey N.
Published: October 2021

AN172, a 2-page fact sheet by Jeffrey Carter, describes how to routinely evaluate a beef cow herd, culling based on criteria for reproduction, functionality, and production. Includes a productivity outline of economically important traits of the cow. Published by the UF Department of Animal Science, July 2007.
Compost Tips for the Home Gardener
Authors: Park Brown Sydney
Published: October 2021

ENH 1065, a 3-page fact sheet by Sydney Park Brown, discusses what compost is, why to do it, what can be composted, building and managing a compost pile, how to use it, and troubleshooting. Includes references. Published by the UF Department of Environmental Horticulture, August 2007.
ENH1065/EP323: Compost Tips for the Home Gardener (ufl.edu)
Candidate Species for Florida Aquaculture: Atlantic Croaker, Micropogonias undulatus
Authors: Creswell R. LeRoy , Ohs Cortney L. , Miller Christian L.
Published: October 2021

FA 148, a 5-page illustrated fact sheet by R. LeRoy Creswell, Cortney L. Ohs, and Christian L. Miller, describes this medium-sized fish of the drum family, its culture methods, and summarizes its potential for aquaculture in Florida. Includes references. Published by the UF Department of Fisheries and Aquatic Sciences, May 2007.
FA 148/FA148: Candidate Species for Florida Aquaculture: Atlantic Croaker, Micropogonias undulatus (ufl.edu)
Issues at the Rural-Urban Fringe: Florida's Agricultural Enclave Law
Authors: Clouser Rodney L.
Published: October 2021

FE560, a 4-page fact sheet by Rodney L. Clouser, describes changes to the Florida Agricultural Land and Practices Act, the definition agricultural enclaves, and implications of the act. Includes references. Published by the UF Department of Food and Resource Economics, October 2007.
Hazard Analysis Critical Control Points (HACCP) – Principle 3: Establish Critical Limits and Principle 4: Monitoring Critical Control Points (CCPs)
Authors: Schmidt Ronald H. , Newslow Debby L.
Published: October 2021

FSHN07-05, a 7-page fact sheet by Ronald H. Schmidt and Debby Newslow, takes readers through the process of establishing Critical Limits and monitoring Critical Control Points to ensure food safety in a HACCP system. Published by the UF Department of Food Science and Human Nutrition, July 2007.
FSHN07-05/FS141: Hazard Analysis Critical Control Points (HACCP)—Principle 3: Establish Critical Limits and Principle 4: Monitoring Critical Control Points (CCPs) (ufl.edu)
Ask IFAS: Hazard Analysis Critical Control Points (HACCP) (ufl.edu)
Vida Saludable: Diabetes
Authors: Bobroff Linda B. , Shelnutt Karla P. , Wittkowsky Paulina
Published: October 2021

Revised! FCS8574-Span, a 3–page fact sheet by Linda Bobroff, Karla Shelnutt, and Paulina Wittkowsky, contains basic information on what diabetes is, who is at risk, and how the disease can be controlled. Revised to add more resources and to provide a new chart that can help determine whether you are at a healthy weight.
Males and Body Image: "Weighing In" on a Growing Concern
Authors: Baugh Eboni
Published: October 2021

FCS8849, a 3-page factsheet by Eboni Baugh, addresses the growing issue of male body image problems and male eating disorders. It explains what factors can put men at higher risk and offers suggestions to help men maintain a healthy body image. Published by the UF Department of Family, Youth and Community Sciences, July 2007.
Small Farm Food Safety, Fresh Produce, Part 3: What's Wrong with this Picture?
Authors: Lapinski Brian , Simonne Amy , Swisher Marilyn E.
Published: October 2021

FCS8844, a 2-page fact sheet by Brian Lapinski, Amy Simonne, and M.E. Swisher, reviews three different video clips depicting problematic food safety practices on a small farm and provides discussion questions. Published by the UF Department of Family, Youth and Community Sciences, October 2007.
FCS8844/FY968: Small Farm Food Safety, Fresh Produce—Part 3: What’s Wrong with This Picture? (ufl.edu)
Ask IFAS: Small Farm Food Safety series (ufl.edu)
Prevenga la Osteoporosis: Atrape al Ladrón Silencioso
Authors: Bobroff Linda B.
Published: October 2021

Revised! FCS8145-Span, an 11-page fact sheet by Linda Bobroff, is the Spanish version of "Prevent Osteoporosis: Stop the Silent Thief." It provides statistics and facts about osteoporosis and information about how to stop this "silent thief" of bone density. Includes calcium-rich recipes. Published by the UF Department of Family, Youth and Community Sciences, April 2007.
Florida Subtropical Peaches: Production Practices
Authors: Ferguson James , Chaparro Jose , Williamson Jeffrey G. , Rouse Robert , Mizell Russell
Published: October 2021

HS-1109, a 15-page illustrated fact sheet by J. Ferguson, J. Chaparro, J. G. Williamson, R. Rouse, and R. Mizell, discusses Florida peach production practices from nursery to post-harvest orchard management within the framework of a monthly production calendar. Published by the UF Department of Horticultural Sciences, July 2007.
Nitrogen Fertilization of Strawberry Cultivars: Is Preplant Starter Fertilizer Needed?
Authors: Santos Bielinski M. , Whidden Alicia J.
Published: October 2021

HS-1116, a 2-page illustrated fact sheet by Bielinski M. Santos and Alicia J. Whidden, summarizes for growers the results of studies conducted to determine whether using preplant starter N fertilization increases strawberry early and total yield. Published August 2007.
HS1116/HS370: Nitrogen Fertilization of Strawberry Cultivars: Is Preplant Starter Fertilizer Needed? (ufl.edu)
Managing Insecticide and Miticide Resistance in Florida Landscapes
Authors: Buss Eileen A. , Price James F. , McCord Elzie , Nagle Curtis
Published: October 2021

ENY-824, a 10-page fact sheet by Eileen A. Buss, James F. Price, Elzie McCord, and Curtis Nagle, encourages landscape managers in Florida to implement resistance management practices. It provides definitions, discussions of resistance development and management, and the use of mixtures, rotations, and mosaics as strategies. Includes references and tables showing the mode of action of insecticides and miticides. Published by the UF Department of Entomology and Nematology, July 2007.
ENY-842/IN714: Managing Insecticide and Miticide Resistance in Florida Landscapes (ufl.edu)
Pine Webworm, Pococera robustella (Zeller) (Insecta: Lepidoptera: Pyralidae)
Authors: Mayfield, III Albert E.
Published: October 2021

EENY-408, a 3-page illustrated fact sheet by Albert E. Mayfield, III, is part of the Featured Creatures collection. It provides information about this common defoliator of pines in the eastern United States, its distribution, description, biology, hosts, damage, and management. Includes references. Published by the UF Department of Entomology and Nematology, May 2007.
EENY-408/IN735: Pine Webworm, Pococera robustella (Zeller) (Insecta: Lepidoptera: Pyralidae) (ufl.edu)
Azalea Leafminer, Caloptilia azaleella (Brants) (Insecta: Lepidoptera: Gracillariidae)
Authors: Dekle G. W.
Published: October 2021

EENY-379, a 5-page illustrated fact sheet by G. W. Dekle, is part of the Featured Creatures collection. It provides information about this larva of a tiny purple- and yellow-marked moth which is a pest of container- and field-grown azalea nursery stock. Includes references. Published by the UF Department of Entomology and Nematology, June 2007.
EENY-379/IN736: Azalea Leafminer, Caloptilia azaleella (Brants) (Insecta: Lepidoptera: Gracillariidae) (ufl.edu)
Ciguatera
Authors: Rey Jorge R.
Published: October 2021

ENY-741, a 5-page illustrated fact sheet by Jorge R. Rey, describes this form of food poisoning caused by ingestion of saltwater fish and invertebrates that have accumulated in their tissues a certain amount of the toxins produced by dinoflagellates. Includes references. Published by the UF Department of Entomology and Nematology, October 2007.
Primitive Weevils of Florida (Insecta: Coleoptera: Brentidae: Brentinae)
Authors: Thomas Michael C.
Published: October 2021

EENY-400, a 4-page illustrated fact sheet by Michael C. Thomas is part of the Featured Creatures collection. It describes this relatively small, primarily tropical group of weevils in the subfamily Brentinae, discussing their identification and selected references. Published by the UF Department of Entomology and Nematology, September 2007.
EENY-400/IN743: Primitive Weevils of Florida (Insecta: Coleoptera: Brentidae: Brentinae) (ufl.edu)
Staghorn Ferns at a Glance
Authors: Park Brown Sydney
Published: October 2021

Revised! ENH-36, a 4-page illustrated fact sheet by Sydney Park Brown, describes these popular and widely available epiphytic tropical plants native to the Philippines, including their selection, care and culture. Published by the UF Department of Environmental Horticulture, July 2007.
ENH36/MG015: Staghorn Ferns at a Glance (ufl.edu)
African Violets
Authors: Park Brown Sydney
Published: October 2021

Revised! ENH-17, a 3-page illustrated fact sheet by Sydney Park Brown, describes this popular house plant that grows and flowers under light conditions found in the average home, including requirements for lighting, temperature and humidity, soil and pots, watering, fertilizer, propagation and pest management. Includes references. Published by the UF Department of Environmental Horticulture, July 2007.
ENH17/MG028: African Violets (ufl.edu)
Sugarcane Variety Census: Florida 2004
Authors: Glaz B. , Vonderwell J. , Gilbert Robert A.
Published: October 2021

This document is SS AGR 267, part of the Florida Sugarcane Handbook, published by the UF Agronomy Department, June - October 2007.
Mourning Doves in Florida
Authors: Giuliano William M. , Selph James F. , Hodges Kurt , Wiley Nick
Published: October 2021

WEC-226, a 4-page illustrated fact sheet by William M. Giuliano, James F. Selph, Kurt Hodges, and Nick Wiley, describes the only dove species native to the state of Florida. Includes sections on distribution and status, biology, habitat, management, and hunting. Includes references. Published by the UF Department of Wildlife Ecology and Conservation, August 2007.
WEC 226/UW267: Mourning Doves in Florida (ufl.edu)
Florida's Environment - Northeast Region
Authors: Main Martin B. , Allen Ginger M.
Published: October 2021

The Florida Environment series, by Martin B. Main and Ginger M. Allen is published by the UF Department of Wildlife Ecology and Conservation, July 2007.
Spatially Continuous Interpolation of Water Stage and Water Depths Using the Everglades Depth Estimation Network (EDEN)
Authors: Pearlstine Leonard , Higer Aaron , Palaseanu Monica , Fujisaki Ikuko , Mazzotti Frank
Published: October 2021

Circular 1521, a 34-page report by Leonard Pearlstine, Aaron Higer, Monica Palaseanu, Ikuko Fujisaki, and Frank Mazzotti, documents the procedures used in generation of EDEN water stage and water depth interpolated surfaces. Includes references. Published by the UF Department of Wildlife Ecology and Conservation, July 2007. Minor revision September 2007.
CIR1521/UW278: Spatially Continuous Interpolation of Water Stage and Water Depths Using the Everglades Depth Estimation Network (EDEN) (ufl.edu)
Tinjauan Pembelajaran IPA melalui Evaluation Discrapancy Models
Authors: Yuniara Yuniara , Sari Rita , Rahayu Nina
Published: October 2021

Learning Implementation Plan or RPP is a teaching device that must be prepared by teachers before conducting the teaching and learning process so that the results obtained can be taken into account in advance. With this preparation, it is expected that the learning process also runs systematically and in accordance with the desired stages. The purpose of this study is to validate IPA learning by using discrepancy evaluation models in MIS Paya Bujok Tunong. This research uses a type of descriptive qualitative research. The results of the study found that some planned items were not carried out, in implementation activities, the chosen approach was not all implemented, teachers also did not use learning media, and assessment only focused on aspects of knowledge only.
Pemahaman orang tua terhadap kesiapan anak dalam memasuki sekolah
Authors: Veryawan Veryawan , Tursina Ade , Hasibuan Rabitah Hanum
Published: October 2021

Tujuan dari artikel ini adalah sebagai sarana komunikasi antara pihak sekolah dan orang tua murid sebagai media kesiapan anak dalam memasuki sekolah baru. Banyak orang tua murid yang kurang memahami tentang dunia anak usia dini. Adanya sosialisasi ini diharapkan akan menambah pemahaman orang tua terhadap anak usia dini. Metode yang digunakan dalam pengabdian kepada masyarakat ini adalah sosialisasi tentang pemahaman orang tua terhadap kesiapan anak dalam memasuki sekolah. Pemahaman orang tua terhadap pertumbuhan dan perkembangan anak, jalur pendidikan bagi anak usia dini, aspek perkembangan anak dan cara belajar anak yang sambil bermain atau bermain seraya belajar. Hasil dari kegiatan sosialisasi ini bahwa orang tua sudah cukup memahami tentang dunia anak usia dini ditandai dengan antusias nya orang tua terhadap kegiatan
Prevalencia de poliglobulia mediante la determinación de biometría hemática en la población urbana de la ciudad de Tulcán
Authors: Poma Leonardo , Tapia Ximena
Published: October 2021

El nativo de altura posee variantes anatomofisiológicas en el sistema respiratorio. Las de mayor significado son los aumentos de amplitud torácica, ventilación pulmonar, difiisión alveolo/capilar y del contenido arterial de oxígeno. En salud ocupacional, para controlar los riesgos del trabajo se aplica valores límites de exposición desarrollados a nivel del mar y para poblaciones con características físicas y laborales diferentes a las de altura. Fisiológicamente, un trabajo seguro en la altura se caracteriza porque el organismo no demanda mayor energía que a nivel del mar para realizarlo, a pesar de la caída de la presión barométrica y esto es así hasta los 2 500 msnm. De acuerdo a esta premisa, cuando por el nivel de altitud el organismo compensa la baja presión barométrica con aumento de la ventilación pulmonar, es necesario corregir los límites de exposición. La adaptación de un organismo a un medio ambiente diferente implica que se mantenga tanto la capacidad, de reproducirse como la de desarrollar actividad física de cualquier índole sin que ello afecte o vaya en desmedro de su salud.

En el Ecuador con algunas poblaciones sobre los 2500 M,S.11.M, como son: Callan El Íngel, Huaca, Tulcán, Quito, no existen datos actuales de la prevalencia de poliglobulia relacionada con la altura, es por esta razón que se planteó este tema, tan importante para nuestra ciudad.

La muestra de nuestra para nuestra investigación es de 1118 pacientes los cuales voluntariamente accedieron a realizarse los estudios pertinentes para la investigación. Los estudios a realizar es: Biometría Hemática, para la determinación de poliglobulia, Anemia y trombocitosis.

El objetivo de nuestra investigación es establecer la prevalencia de la poliglobulia y con estos datos poder establecer un programa que nos ayude a prevenir las consecuencias de esta grave patología.