Miracle-dz/UniFAR-FTUs huggingface dataset:
Haemovigilance: current practices and future developments

Haemovigilance is the systematic surveillance of adverse events in the transfusion chain, and encompasses activities that contribute to the safety and quality in the process of blood donation and transfusion. From the start in the early 1990s, haemovigilance has put emphasis on different adverse reactions and incidents in recipients and subsequently in donors, pointing to vulnerabilities in the transfusion chain and areas for prevention. More recently, the monitoring of efficacy and efficiency of transfusion practice has been introduced in the concept of haemovigilance. The purpose of this review is to present an overview of the current status and future developments of haemovigilance. Haemovigilance is part of the quality systems of the blood collection establishments, transfusion laboratories and the transfusion institutions. The monitoring, investigation and analysis of adverse events generates relevant data for the quality cycle of these systems, driving continuous improvement in transfusion practice. Recommendations based on haemovigilance findings have led to changes in clinical guidelines and policies. Despite the progress haemovigilance has made, further developments are needed. Current challenges lie in the field of the establishment of haemovigilance systems in low resource settings, the international harmonisation of definitions and the prevention of underreporting. In addition, the causal relationship between the transfusion and the reaction is often unclear. Biomarkers may aid in the imputability assessment and their role in the diagnosis of transfusion reactions needs to be further investigated. Future developments are expected in automated reporting, the use of big data and increased shareability of international data, contributing to a better understanding of the causal mechanisms and risk factors, and to prevention of adverse events. Haemovigilance is an evolving discipline and will continue to contribute to improving the safety of blood donation and transfusion.
Thirty years of amphibian surveys in the Ukagurus Mountains of Tanzania reveal new species, yet others are in decline

ABSTRACT Records of biodiversity over time are important resources for assessing conservation priorities. However, such baseline data are missing for regions of key biodiversity importance. The Eastern Arc Mountains of Tanzania are known for their species richness and endemism, but not all mountain blocks have received the same attention. The Ukaguru Mountains, for example, have only infrequently been surveyed by herpetologists, with the first known herpetological survey in 1990. Here we compile and quantify all amphibian survey efforts in the Ukaguru Mountains in the past 30 years, publish an updated species list and comment on the health of amphibian populations and their habitat. We report on fourteen described species of amphibians, with potentially three additional species awaiting formal description. Of these seventeen lineages, seven are endemic to the Ukaguru Mountains. Although total species numbers remain low, compared with other Eastern Arc Mountains, surveys frequently recorded new species for the Ukaguru Mountains and for science. Worryingly, however, endemics, such as the monotypic bufonid Churamiti maridadi, have not been recorded in the past fifteen years. Our analyses show the region is becoming warmer and drier and is experiencing an alarming rate of deforestation. We find that over the past 30 years, dense forest cover inside the boundaries of the forest reserves has reduced by 8.4%.
Preliminary Development Research of a Smart Machine Vision System for Lumber Industry

Author(s) Title Number of Pages Date Veikko Kero Preliminary Development Research of a Smart Machine Vision System for Lumber Industry 33 pages 18 November 2015 Degree Bachelor in Engineering Degree Programme Electrical Engineering Specialisation option Electronics and Medical Engineering Instructor(s) Markus Hyvonen, Product Development Manager Janne Mantykoski, Senior Lecturer The purpose of this thesis is to describe the first phase of product development of a new smart camera system for machine vision applications in lumber industry. This project was carried out for Inx-Service, a Finnish engineering company specialized in measurement systems and machine vision systems in lumber industry. A machine vision camera is a device that is used in various industrial imaging applications. The thesis focuses on some of the utilizable techniques and comparison of those. The goal was to present an overview of vital information to understand the operation of the final product. Also a prototype of a simple development system is presented. It enables system design with low-cost equipment before the final components are purchased. Finally, some approaches for the future development are discussed. The study consists of research on available materials and planning based on available literature. A prototype of the development system and some aspects of its operation are presented here as well. The product is planned to be ready for manufacturing by the end of 2016 and is targeted to previous customers as an upgrade. Modular design allows usage also in new application areas different than of lumber industry.
The Diagnosis of Cervical Dysplasia in a University Hospital Using Pap Smear and Colposcopy in the Western Region of Saudi Arabia: A Correlational Study

Objectives To assess the diagnostic performance of Pap smear screening with or without human papillomavirus (HPV) testing and colposcopy in detecting preinvasive lesions of the cervix among women with reference to histopathological findings. Materials and methods We performed a retrospective study in a tertiary care center of the clinical and pathological records of women with evocative symptomatology. The diagnostic performance of Pap smear screening and colposcopy was analyzed. The sensitivity and specificity of Pap smear screening and colposcopy in detecting preinvasive lesions of the cervix were calculated in 388 patients. Results The mean age was 45.12 years, and the most frequent gynecological symptoms included abnormal bleeding (17.2%) and postcoital bleeding (10.9%). Histopathology showed abnormal results in 26.5% of the 388 patients, including cervical intraepithelial neoplasia 1 (CIN 1; 20.4%), CIN 2 (2.8%), CIN 3 (1.3%), and SCC (1.3%). Both Pap smear screening and colposcopy were highly sensitive in detecting CIN 1+ (94.2%vs.93.2%, respectively) and CIN 2+ (100.0% vs.95.8%, respectively) intraepithelial lesions; however, Pap smears had very low specificity in detecting both CIN 1+ (8.1% vs.73.7%, respectively) and CIN 2+ (8.0% vs. 59.3%, respectively) compared with colposcopy. When combined with HPV status, the specificity of Pap smear increased considerably. Conclusion It has become a high priority to improve the efficiency of cervical cancer (CC) screening programs by optimizing the practice of Pap smear screening, increasing the test specificity, and implementing systematic cytology-HPV co-testing.
A single-field finite-difference time-domain formulation for electromagnetic simulations

In this dissertation, a set of general purpose single-field finite-difference time-domain updating equations for solving electromagnetic problems is derived. The formulation uses a single-field expression for full-wave solution. This formulation can provide numerical results similar to those obtained using the traditional formulation with less required computer resources. Traditional finite-difference time-domain updating equations are based on Maxwell's curl equations whereas the single-field updating equations used here are based on the vector wave equation. General formulations are derived for normal and oblique incidence plane wave cases for linear, isotropic, homogeneous and non-dispersive as well as dispersive media. To compare the single-field updating equations with the traditional ones, twodimensional transverse magnetic, two-dimensional transverse electric and one-dimensional electromagnetic problems are solved. Fields generated by a current sheet and a filament electric current are calculated for one and two-dimensional formulations, respectively. Performance analyses of the single–field formulation in terms of CPU time, memory requirement, stability, dispersion, and accuracy are presented. Based on the simulations of several two-dimensional problems excited by a filament of electric current, it was observed that the single-field method is more efficient than the traditional one in terms of speed and memory requirements. One scattering problem consisting of three infinitely long dielectric cylinders excited by an obliquely incident plane wave and another scattering problem consisting of a point source exciting a dispersive sphere, utilizing Lorentz-Drude model, are also formulated and analyzed. The numerical results obtained confirmed the validity and efficiency of the single–field formulations. A SINGLE-FIELD FINITE-DIFFERENCE TIME-DOMAIN FORMULATION FOR ELECTROMAGNETIC SIMULATIONS By Gokhan Aydin B.S. in EEE, Gaziantep University, 2005 M.S. in EE, Syracuse University, 2008 DISSERTATION Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Electrical and Computer Engineering in the Graduate School of Syracuse University May 2011 © Copyright 2011 Gokhan Aydin All rights reserved
A Novel Intelligent Hybrid Optimized Analytics and Streaming Engine for Medical Big Data

Medical data processing is exponentially increasing day by day due to the frequent demand for many applications. Healthcare data is one such field, which is dynamically growing day by day. In today's scenario, an enormous amount of sensing devices and data collection units have been employed to generate and collect medical data all over the world. These healthcare devices will result in big real-time data streams. Hence, healthcare-based big data analytics and monitoring have gained hawk-eye importance but needs improvisation. Recently, machine and deep learning algorithms have gained importance to analyze huge amounts of medical data, extract the information, and even predict the future insights of diseases and also cope with the huge volume of data. But applying the learning models to handle big/medical data streams remains to be a challenge among the researchers. This paper proposes the novel deep learning electronic record search engine algorithm (ERSEA) along with firefly optimized long short-term memory (LSTM) model for better data analytics and monitoring. The experimentations have been carried out using Apache Spark using the different medical respiratory data. Finally, the proposed framework results are contrasted with existing models. It shows the accuracy, sensitivity, and specificity like 94%, 93.5%, and 94% for less than 5 GB dataset, and also, more than 5 GB it provides 94%, 92%, and 93% to prove the extraordinary performance of the proposed framework.
Development and Utilization of Circular Economy and Urban Mining - Chengdu City Based Renewable Resource Industry Survey

Along with the process of economic growth and urbanization, China has entered a peak period of electronic appliances and automotive industry products obsolescence. On one hand, municipal waste disposal is increasing and causing environmental pollution and damage; on the other hand, native mineral resources’ exhaustion has increased year by year along with exploitation difficulty and mineral resources import growth. Meanwhile, urban industrial scrap, aka "urban mines", does contain abundant of renewable resources, such as copper, iron, and aluminum. Therefore, based on the theory of circular economy, the exploitation of these "urban mines" is the key strategic industry of China’s "12th five-year plan". This paper is based on the survey of Chengdu city regeneration resources industry situation. We analyzed the current status of regeneration resources recycling industry in Chengdu city, finding problems such as the number of existing garbage collection stations inadequate for renewable resources, and processing technology out of date. Generally speaking, the renewable resources industry in Chengdu is under developed.
Bifurcations and Proarrhythmic Behaviors in Cardiac Electrical Excitations

The heart is a hierarchical dynamic system consisting of molecules, cells, and tissues, and acts as a pump for blood circulation. The pumping function depends critically on the preceding electrical activity, and disturbances in the pattern of excitation propagation lead to cardiac arrhythmia and pump failure. Excitation phenomena in cardiomyocytes have been modeled as a nonlinear dynamical system. Because of the nonlinearity of excitation phenomena, the system dynamics could be complex, and various analyses have been performed to understand the complex dynamics. Understanding the mechanisms underlying proarrhythmic responses in the heart is crucial for developing new ways to prevent and control cardiac arrhythmias and resulting contractile dysfunction. When the heart changes to a pathological state over time, the action potential (AP) in cardiomyocytes may also change to a different state in shape and duration, often undergoing a qualitative change in behavior. Such a dynamic change is called bifurcation. In this review, we first summarize the contribution of ion channels and transporters to AP formation and our knowledge of ion-transport molecules, then briefly describe bifurcation theory for nonlinear dynamical systems, and finally detail its recent progress, focusing on the research that attempts to understand the developing mechanisms of abnormal excitations in cardiomyocytes from the perspective of bifurcation phenomena.
Host phenology regulates parasite–host demographic cycles and eco‐evolutionary feedbacks

Abstract Parasite–host interactions can drive periodic population dynamics when parasites overexploit host populations. The timing of host seasonal activity, or host phenology, determines the frequency and demographic impact of parasite–host interactions, which may govern whether parasites sufficiently overexploit hosts to drive population cycles. We describe a mathematical model of a monocyclic, obligate‐killer parasite system with seasonal host activity to investigate the consequences of host phenology on host–parasite dynamics. The results suggest that parasites can reach the densities necessary to destabilize host dynamics and drive cycling as they adapt, but only in some phenological scenarios such as environments with short seasons and synchronous host emergence. Furthermore, only parasite lineages that are sufficiently adapted to phenological scenarios with short seasons and synchronous host emergence can achieve the densities necessary to overexploit hosts and produce population cycles. Host‐parasite cycles also generate an eco‐evolutionary feedback that slows parasite adaptation to the phenological environment as rare advantageous phenotypes can be driven extinct due to a population bottleneck depending on when they are introduced in the cycle. The results demonstrate that seasonal environments can drive population cycling in a restricted set of phenological patterns and provide further evidence that the rate of adaptive evolution depends on underlying ecological dynamics.
Harmful, helpful, or both? A commentary on postmodernism and critical theories in community development education

ABSTRACT In this relatively informal commentary, I discuss the potentially helpful and harmful roles that postmodernism and critical theories have in academia in general and particularly in community development scholarship and pedagogy. After introducing postmodernism and critical theories as well as some of the common criticisms of these frameworks, I discuss the importance of cultural capital in community development and how postmodernism and critical theories can protect and maintain cultural capital as well as damage and diminish it. I also discuss the importance of ensuring students in community development courses understand these frameworks and understand that they are but some of the theories and skills students will need to know to be effective and ethical community development scholars and practitioners. The duty of educators is to ensure that students have the abilities and support to do the hard work of critically evaluating and analyzing all viable approaches to community development work.
WDN: A One-Stage Detection Network for Wheat Heads with High Performance

The counting of wheat heads is labor-intensive work in agricultural production. At present, it is mainly done by humans. Manual identification and statistics are time-consuming and error-prone. With the development of machine vision-related technologies, it has become possible to complete wheat head identification and counting with the help of computer vision detection algorithms. Based on the one-stage network framework, the Wheat Detection Net (WDN) model was proposed for wheat head detection and counting. Due to the characteristics of wheat head recognition, an attention module and feature fusion module were added to the one-stage backbone network, and the formula for the loss function was optimized as well. The model was tested on a test set and compared with mainstream object detection network algorithms. The results indicate that the mAP and FPS indicators of the WDN model are better than those of other models. The mAP of WDN reached 0.903. Furthermore, an intelligent wheat head counting system was developed for iOS, which can present the number of wheat heads within a photo of a crop within 1 s.
Mike Meyers' Comptia RFID+ Certification Passport

From the #1 Name in Professional Certification Get on the fast track to becoming CompTIA RFID+ certified with this affordable, portable study tool. Inside, RFID experts guide you on your career path, providing expert tips and sound advice along the way. With an intensive focus on only what you need to know to pass the CompTIA RFID+ exam, this certification passport is your ticket to success on exam day. Featuring: Itineraries--List of official exam objectives covered ETAs--Amount of time needed to complete each lesson Travel Advisories--Expert advice on critical topics Local Lingo--Concise definitions of key terms and concepts Travel Assistance--Recommended resources for more information Exam Tips--Common exam pitfalls and solutions Checkpoints--End-of-chapter questions, answers, and explanations Career Flight Path--Career options mapped out to maximize the return from your IT journey Practice Exam on CD Table of contents Acknowledgments Check-In Chapter 1. RFID Basics Chapter 2. The REF in RFID Chapter 3. Tag Knowledge Chapter 4. Interrogation Zone Chapter 5. RFID Peripherals Chapter 6. Design Selection Chapter 7. Installation Chapter 8. Testing & Troubleshooting Chapter 9. Site Analysis Chapter 10. Standards and Regulations APPENDIX A: ABOUT THE CD-ROM APPENDIX B: CAREER FLIGHT PATH GLOSSARY INDEX
An analysis of federal aviation administration knowledge test scores and fatal general aviation accidents

Over the last few years, the safety record of U.S. commercial airlines has improved to the point where the statistics on accidents are negligible. The overwhelming numbers of aviation fatalities occur in General Aviation (GA) accidents. While the fatal accident rate has improved— from around 5.0 per 100,000 miles flown in the post–World War II era to varying between 1.2 and 1.5 since 1996—it still results in 450 to 700 deaths per year. In 2013, improving GA safety was on the National Transportation Safety Board’s (NTSB’s) most wanted list. The NTSB has cited a lack of aeronautical knowledge as the cause of many of these accidents. If pilots are required to pass Federal Aviation Administration (FAA) knowledge and practical tests prior to obtaining a new pilot certificate, how could they not possess the knowledge needed to operate in the National Airspace System (NAS)? Some, attributing it to a failure to learn basic aeronautical knowledge, are concerned that potential pilots memorize the answers to test questions published in commercially available test guides and quickly forget the material after passing the test. The purpose of this retrospective causal comparative study was to see if airman knowledge tests scores are related to fatal accidents. Fatal GA accidents that had pilot error as a causal factor were compared with those in which maintenance factors caused the accidents, to see if there were significant differences in the pilots’ knowledge test scores. The time that potential pilots took to answer skill-based questions that required calculation or interpretation was compared to the time to answer recall questions to see if rote memorization may have been involved in passing the knowledge test. The results of this paper may have implications on how AFS 630 structures the FAA knowledge tests and how instructors prepare potential pilots for these tests. AN ANALYSIS OF FEDERAL AVIATION ADMINISTRATION KNOWLEDGE TEST SCORES AND FATAL GENERAL AVIATION ACCIDENTS
Integrative analysis of transcriptomic and metabolomic profiles reveals new insights into the molecular foundation of fruit quality formation in Citrullus lanatus (Thunb.) Matsum. & Nakai

In this study, an integrated transcriptome and metabolome analysis was used to explore the molecular foundation of fruit quality in two parent lines of Citrullus lanatus with distinct flesh characteristics, including ‘14-1’ (sweet, red, and soft) and ‘W600’ (bitter, light yellow, and firm), as well as the corresponding F1 population (bitter, light yellow, and firm). Numerous differentially expressed genes (DEGs) were identified in the fruit samples: 3,766 DEGs for ‘14-1’ vs. ‘W600’, 2,767 for ‘14-1’ vs. F1, and 1,178 for F1 vs. ‘W600’ at the transition stage; and 4,221 for ‘14-1’ vs. ‘W600’, 2,447 for ‘14-1’ vs. F1, and 446 for F1 vs. ‘W600’ at the maturity stage. Weighted gene co-expression network analysis (WGCNA) revealed that a gene module including 1,111 DEGs was closely associated with flesh taste and color, and another gene module including 1,575 DEGs contributed significantly to flesh texture. The metabolomic results showed that there were 447 differential metabolites (DMs) for ‘14-1’ vs. ‘W600’ fruits, 394 for ‘14-1’ vs. F1, and 298 for F1 vs. ‘W600’ at the maturity stage. Combining WGNCA and metabolomic results, several DEGs and DMs were further identified as hub players in fruit quality formation: six DEGs with four DMs for flesh sweetness; six DEGs with 13 DMs for bitterness; nine DEGs with 10 DMs for flesh color; and nine DEGs with four DMs for flesh texture. Altogether, these observations not only expand our knowledge of the molecular basis of fruit quality in watermelon, but also provide potential targets for future watermelon improvement.
An Overview of Bovine Cystic Ovarian Disease

Abdullah Channo1*, Asmatullah Kaka1, Qudratullah Kalwar2, Imdadullah Jamali3, Ghulam Jelani2, Muhammad Bakhsh4, Ghulam Nabi Dahri5 and Jai Parkash Goil6 1Department of Animal Reproduction, Faculty of Animal Husbandry and Veterinary Sciences, Sindh Agriculture University, Tandojam, 70060 2Shaheed Benazir Bhutto University of Veterinary and Animal Sciences, Sakrand, 67210 3Department of Veterinary Pathology, Faculty of Animal Husbandry and Veterinary Sciences, Sindh Agriculture University, Tandojam, 70060 4Faculty of Veterinary Sciences, College of Veterinary and Animal Sciences, Jhang, 35200, UVAS Lahore, Pakistan 5Directorate of Animal Husbandry, Livestock and Fisheries Department, Hyderabad, Government of Sindh. 6Department of Animal Breeding, Livestock and Fisheries Department, Hyderabad, Government of Sindh Article Information Received 05 September 2021 Revised 03 December 2021 Accepted 15 December 2021 Available online 16 March 2022 (early access)