Miracle-dz/UniFAR-FTUs huggingface dataset:
Caracterización de muestras citológicas del tiroides según consenso de Bethesda y diagnóstico histológico

Introduccion: La enfermedad nodular tiroidea se presenta como nodulos de tiroides de consistencia solida, liquida o mixta, palpables o no, y es un reto hacer un diagnostico certero de enfermedad benigna o maligna. Objetivo: Caracterizar las muestras recogidas por citologia aspirativa con aguja fina del tiroides, segun diagnostico citologico, clasificacion de Bethesda y la histologia. Metodos: Se realizo una investigacion de evaluacion de medios diagnosticos en el servicio de Anatomia Patologica del Hospital Clinico Quirurgico "Hermanos Ameijeiras" entre diciembre de 2015 y diciembre de 2016. La muestra fue de 115 resultados de citologia aspirativa con aguja fina (113 pacientes). En cada boleta se reviso el diagnostico citologico y se aplico la clasificacion de Bethesda. En el analisis estadistico se utilizo la media con su desviacion estandar y porcentajes. Resultados: La edad promedio fue de 53,9 ± 14,4 anos, con un 65,5 % de feminas. El 70,4 % de las citologias fueron no utiles. Segun Bethesda y citologia, el 70,4 % se clasifico como I. En relacion con el diagnostico por biopsia y la clasificacion de Bethesda, en la categoria I se clasifico una hiperplasia folicular. En la clase V se diagnostico una alta sospecha de linfoma. El carcinoma papilar se presento en 2 casos (grupo VI). Conclusiones: La clasificacion de Bethesda resulto ser util pues todos los diagnosticos citologicos e histologicos malignos quedaron clasificados en las categorias IV, V y VI. Se recomienda su empleo evita un numero innecesario de cirugias.
26.17 NHL: Chronische lymphatische Leukämie (CLL)

Eine CLL kann sehr unterschiedlich verlaufen. Das Spektrum reicht von Patienten mit stabilen Blutwerten über viele Jahre bis zu Patienten mit schweren Beeinträchtigungen schon bei Krankheitsbeginn. Nach Binet wird die CLL in drei Stadien eingeteilt. In der Regel werden Patienten im Stadium Binet C sofort behandelt. Patienten im Stadium A oder B werden erst behandelt, wenn belastende Krankheitszeichen auftreten oder die Leukämie fortschreitet.
Hybrid Non-Local Network for Abstractive Summarization

In the field of abstractive automatic summarization, the Seq2Seq model constructed by the RNN network is widely used and has achieved perfect results. However, due to the Seq2Seq model and the internal structure of the RNN network, only short-term and local information can be referenced in the process of generating summary, resulting the generated summary contains less information, and may even happen that the generated summary does not match the corresponding document. There have been many previous attempts to improve the model by using the attention mechanism, but only to use long-term information within a certain range. In our paper, we present a abstractive summarization model that enhances the global feature, which called Hybrid Non-Local Network model for single document summarization task, consisting of a non-local block and a traditional Seq2Seq module. Our model uses the non-local network block to transform the Seq2Seq model to better capture global feature. For example, the relationship between words and words, sentences and sentences in a large span of the original document, making the generated summary of higher quality, more informative, more accurate and rich representation of the original document. The experiments in our paper are performed on the CNN/DailyMail corpus. The proposed model was improved by 1.37, 0.47, and 1.16 onR-1 score, R-2 score, andR-L score, separately, compared to the baseline model.
Research on Sidelobe Suppression Method in LFM Pulse Compression Technique

System sensitivity and range resolution are a pair of contradictory performance during target detection. In this paper, pulse compression is used to resolve the contradiction between range resolution and sensitivity. A frequency leak occurs in the compressed signal, so that weak targets of the matched filter output may be masked by adjacent strong target side lobes. It is common to suppress the side lobes by adding a window function. Through MATLAB simulation, it is found that when the signal-noise ratio is large, after adding the window function, the small target submerged by the large target side lobes cannot be detected. In this paper, an adaptive pulse compression (APC) technique based on minimum mean square error (MMSE) is used to suppress side lobes. The simulation proves that APC algorithm suppresses side lobes more effectively.
Single-Event Effects in Ground-Level Infrastructure During Extreme Ground-Level Enhancements

We take an initial look at hard single-event effects (SEEs) in power electronics and static random access memories (SRAMs) during space weather-induced extreme ground-level enhancement (GLE) events. We show that there is a significant risk of failure of silicon power metal–oxide–semiconductor field-effect transistors (MOSFETs) and insulated gate bipolar transistors (IGBTs) at ground level during a $10\times $ February ’56 GLE. If the devices are not derated, then we find that 21% of power MOSFETs and 14% of IGBTs are, in the worst case, predicted to fail. The probability of failure increases to 68% and 52% during a once-in-a-10 000-year GLE for power MOSFETs and IGBTs, respectively. Silicon carbide devices show a lower failure rate by more than an order of magnitude, where only 2.8% are predicted to fail during a once-in-a-10 000-year GLE. It is clear that these events could disrupt critical infrastructure if mitigating precautions are not implemented.
Cognitive-Behavioral Therapy for Opiate Users in Methadone Treatment: A Multicenter Randomized Controlled Trial

Background: Opiate use on a stable methadone dose is a health concern in Iran (Persia). Cognitive-behavioral therapy (CBT) is a suggested treatment for this problem. Objectives: The study aimed to assess the CBT effectiveness in the treatment of regular opiate use on a stable methadone dose in Shiraz, near the Persian Gulf of Iran. Methods: The study design was a multicenter randomized controlled trial. The study was conducted at two methadone clinics during 2015. Overall, 118 patients who were regular opiate users were selected. Participants were randomly assigned (1:1) to receive either CBT (n = 59) or remain in a control condition (n = 59). The Opiate Treatment Index, Contemplation Ladder and Severity of Dependence Scale were completed at baseline, post-treatment and a three-month follow-up. The primary outcome was the reduced mean score of regular opiate use. Other outcomes included an increased readiness to reduce opiate use and reduced severity of opiate dependence. Data were analyzed performing intentions-to-treat analyses, independent samples t-tests and Wilcoxon Rank- Sum tests. Results: CBT significantly reduced opiate use (z = 3.73, P = 0.01, d = 0.89) and the severity of opiate dependence (z = 7.36, P = 0.01, d = 0.64) after four weeks of treatment. Readiness to reduce opiate use significantly increased (t (116) = 9.55, P = 0.01, d = 0.81) over the same time. All study results remained stable at three-month follow-up while no significant change was found in the control group. Conclusions: CBT can be used as an effective intervention to reduce regular opiate use on a stable methadone dose. A larger study with more Persian participants and a six-month follow-up is suggested. © 2017, Mazandaran University of Medical Sciences.
Coupled-Inductor Buck–Boost Inverter With Reduced Current Ripple

This article presents novel buck–boost inverter using coupled inductors and half-cycle phase-shifted modulation. The effective switching frequency of the input inductors is twice the actual switching frequency of semiconductor switches. In addition, the number of voltage levels of the input inductors is increased and the voltage magnitude is decreased. As a result, the input inductors are designed much smaller and the current ripples of both the input inductors and the dc voltage source are decreased. To reduce the number of inductors, input inductors are incorporated in the leakage inductance of the coupled inductors. Moreover, part of the circuit can be bypassed to improve the efficiency of the proposed inverter. The clamping switches decrease the power loss of circulating current and improve the peak efficiency to 97.2%. Besides, the proposed inverter has no shoot-through. Furthermore, mosfets can be used without reverse-recovery issues and associated loss. As a proof of concept, the experimental results of the proposed single-phase 500-W prototype inverter with 100–200 V input voltage and 110 Vrms output voltage at 50 kHz are provided.
More than Tweed Jackets and Beards: An Analysis of the Hashtag Campaign #ILookLikeAProfessor

The focus of this study was to identify themes that emerged on the publicly-posted #ILookLikeAProfessor hashtag Twitter campaign during August 2015. This qualitative content analysis explored tweets (n=1,855) from www.twitter. com/#ILookLikeAProfessor. Through qualitative open and inductive coding methods, four major themes were derived from the Twitter campaign among participants: 1) discussing diversity, 2) addressing appearance, 3) identifying self, and 4) using visual support. Researchers offer ideas for future study about this campaign and hashtag activism.
Particle motion nearby rough surfaces

We study the hydrodynamic coupling between particles and solid, rough boundaries characterized by random surface textures. Using the Lorentz reciprocal theorem, we derive analytical expressions for the grand mobility tensor of a spherical particle and find that roughness-induced velocities vary nonmonotonically with the characteristic wavelength of the surface. In contrast to sedimentation near a planar wall, our theory predicts continuous particle translation transverse and perpendicular to the applied force. Most prominently, this motion manifests itself in a variance of particle displacements that grows quadratically in time along the direction of the force. This increase is rationalized by surface roughness generating particle sedimentation closer to or farther from the surface, which entails a significant variability of settling velocities.
Fostering Innovation and Value Creation Through Ecosystems

Ecosystems are gaining ever-increasing importance in digital business environments. New digital business models implemented using digital platforms heavily rely on ecosystem network. Thus, it is worthwhile investigating what role ecosystems play in the process of the digital transformation of companies. This chapter provides a theoretical background of the ecosystem research concerning digital trends, such as digital transformation, digital platforms, and digital service innovation. To deeper understand how ecosystem postulates are applied in companies, case study findings from two companies operating in the service and manufacturing sector are presented. Moreover, the ecosystem role is observed in selected companies both in the process of innovation generation (value creation), as well as in the implemented digital business model (value capture).
Spectroscopy of Trapped $^{138}$Ba$^+$ Ions for Atomic Parity Violation and Optical Clocks

The Standard Model of particle physics describes the behavior of all known elementary particles. This theory is remarkably successful in explaining the dynamics of the subatomic world (see also the recent discovery of the predicted Higgs boson). Nevertheless, it leaves various fundamental questions unanswered. How can the theory of general relativity, which describes gravity, be unified with the Standard Model, which leaves out this force? Or what constitutes the dark matter that is hypothesized to explain astrophysical observations? These and other questions motivate exploring the limits of the Standard Model. In the search for new physics, several approaches exist. The Large Hadron Collider near Geneva, which discovered the Higgs boson, has the brute force to directly create new particles. However, working at a smaller scale and lower energy is also possible. The goal of the research presented in this thesis is to test the Standard Model using precision measurements and atomic physics techniques. This research focusses on using a single barium (Ba⁺) or radium ion (Ra⁺) that is slowed down using laser cooling and trapped in vacuum by an oscillating electric field. This enables high precision measurements to test the Standard Model description of the weak interaction in atoms (atomic parity violation) and test whether the fundamental constants are truly constant (optical atomic clocks). In preparation of these experiments, this thesis describes several spectroscopic measurements on trapped ¹³⁸Ba⁺ ions, including transition frequencies and lifetimes of atomic levels. This information is crucial for the atomic structure calculation necessary for interpreting future measurement results.
Performance of First Response® and CareStart™ Malaria Rapid Diagnostic Tests for the Detection of Plasmodium falciparum in a Tertiary Hospital in Ghana

Background: Malaria poses a major public health problem in sub-Saharan Africa. In Ghana, millions of people are potentially at risk of Plasmodium falciparum infections annually. The current study evaluated the performance of two Histidine rich protein 2 (HRP-2) rapid diagnostic tests (First Response® and CareStart™) using giemsa stained microscopy (microscopy) as the gold standard. This cross-sectional study which took place at the Komfo (KATH) in Kumasi from October 2014 to March, 2015 was done to monitor the performance of RDTs that are used regularly in Ghana. Methodology: A total of 400 children (239 males, 161 females; age range 1-17 years) with fever or history suggestive of malaria were included in the study. First Response® and CareStart™ diagnostic accuracy results were compared with that of microscopy. The strength of agreements (kappa) between the microscopy and the two RDTs were also calculated. Results: Of the 400 blood films that were examined using microscopy, Plasmodium parasites were detected in 33 (8.3%) of them. First Response® showed positive results in 65 (16.3%) and CareStart™ showed positive results in 68 (17.0%). The sensitivities of both First Response® and CareStart™ when compared with microscopy were 97.0% (95% CI: 84.2-99.9) and 97.0% (95% CI: 84.2-99.9) respectively. The specificities were First Response® 91.0% (95% CI: 87.6-93.7) and CareStart™ 90.2% (95% CI: 86.7-93.0). The strength of agreement (kappa) between microscopy and First Response® and CareStart™ with 95% confidence interval was good for the First Response® (giemsa stain microscopy vs First Response®: 0.61) and moderate for CareStart™ (giemsa stain microscopy vs CareStart™: 0.59). Conclusion: The diagnostic accuracy of the First Response® and CareStart™ RDTs to detect malaria was good with no significant differences between the two rapid test kits when compared with microscopy. The RDTs are a suitable alternative to microscopy to test for malaria in rural areas. Therapy (ACT), Special Program for Research and Training in Tropical Disease (TDR), Foundation for Innovative New Diagnostics (FIND), and the Centre for Disease Control and Prevention (CDC), Paediatric Emergency Unit (PEU), Komfo Anokye Teaching Hospital (KATH), Accident and Emergency (A&E), Ethylenediaminetetraacetic acid (EDTA), Complete Blood Count (CBC), High power fields (HPF), White blood cells (WBCs), Red blood cells (RBCs), Positive predictive value (PPV), Negative predictive value (NPV), Plasmodium lactate dehydrogenase (pLDH), Plasmodium aldolase (pAldo), Polymerase chain reaction (PCR).
A PROBABILISTIC INFERENCE ALGORITHM FOR EARLY DETECTION OF AGE RELATED MACULAR DEGENERATION

– Age Related Macular Degeneration or ARMD is a retinal disorder that causes blindness over people of older age group. ARMD is associated with age and is a leading cause of blindness around the world. There is no specific medicine to fully cure ARMD but its development can be controlled by regular exercises and a healthy lifestyle if it is detected early. With a rising population of old age group of people, it becomes important to detect ARMD as early as possible in order to contain its development further. This research attempts to develop an algorithm based on probabilistic inference through Bayesian Network by analyzing large datasets collected from previous cases where datasets include elements of risk factors that could cause ARMD along with eye images. Unlike most of the approaches in detecting ARMD this work not only analyses eye images but also includes analysis of various factors causing the disorder. To include the study and analysis of the presence of factors causing ARMD is sensible because those factors are good indicators when the need is an early detection.
INTENTION DES PROFESSIONNELS DE LA SANTE D'AIDER LES FEMMES CIBLEES PAR LE PROGRAMME QUEBECOIS DE DEPISTAGE DU CANCER DU SEIN À PRENDRE UNE DECISION ECLAIREE CONCERNANT LEUR PARTICIPATION AU DEPISTAGE DU CANCER DU SEIN

This descriptive study, based on the Theory of Planned Behaviour, evaluated health professionals’ intention to help women targeted by the Quebec Breast Cancer Screening Programme in making informed decisions about breast cancer screening with mammography. The 288 family physicians and 618 nurses who responded to our questionnaire had a strong intention to adopt this behaviour. The perception of behavioural control was the variable most strongly associated with intention, followed by attitude, and social norm. The main barriers to the adoption of the studied behaviour, as perceived by participants were lack of time and limited access to information. The intention of health professionals as well as the adoption of the studied behaviour could be reinforced by training activities on informed decision making and relevant decision support tools made available.
Genetic and immunophenotypical diagnostics for acute myeloid leukemia and their implication on treatment strategy1)

Abstract Cytogenetic and molecular genetic abnormalities in acute myeloid leukemia (AML) play an important role in the pathogenesis, are absolutely necessary for disease classification, are the most important prognostic factors for induction success and survival, and are increasingly used for specific genotype-adapted treatment approaches. In particular, molecular-targeted treatment strategies are evolving within clinical trials in the AML entities core-binding factor AML, characterized by t(8;21) and inv(16)/t(16;16), and AML with mutated NPM1, as well as AML with an internal tandem duplication of the FMS-related tyrosine kinase 3 (FLT3) gene. The link between the leukemogenic importance of genetic abnormalities and their role as a potential target for well-known and novel drugs will contribute to the stepwise replacement of purely risk-adapted therapy to a more and more genotype-adapted treatment strategy.
Delaying Doomsday

Why are states willing to give up their nuclear weapons programs? This book presents a new theory for how external inducements supplied by the United States can convince even the most committed of proliferators to abandon weapons pursuit. Existing theories focus either on carrots or sticks. I explore how using both positive and negative inducements, in the shadow of military force, can persuade both friends and foes not to continue their nuclear weapons pursuit. I draw on worldwide cross-national data on nuclear reversal, case studies of Iran and North Korea, among other countries, and interviews with diplomats, policy-makers, and analysts. I show that the majority of proliferators have been persuaded to reverse their nuclear weapons programs when offered incentives from the United States. Moreover, I demonstrate that these tools are especially effective during periods of leadership transition and can work on both allies and adversaries. My theory and evidence also suggest a broader conception of counterproliferation than currently exists, identifying how carrots and sticks used together can accomplish one of the international community’s most important policy objectives.
Identification of hidden dangers in transmission line corridors based on hybrid algorithms

Computers automatically recognize hidden dangers in photos taken from transmission line corridors to greatly reduce the workload of transmission line patrol personnel. However, transmission line corridors are complex and hidden dangers in the scene are diverse, which bring great difficulties to the identification of hidden dangers. To solve this problem, this paper proposes various algorithms to identify various hidden dangers separately based on their sample size and characteristics of hidden dangers. Firstly, we identify construction machinery based on CNN algorithm by making use of massive samples. Secondly, we identify fires by using features including color and texture based on SVM. Finally, we identify foreign objects on transmission lines with Bresenham algorithm based on the geometric characteristics of transmission lines. In order to verify the practicality of the above algorithms, we collect tens of thousands of photos taken by cameras deployed on transmission towers and select different samples from them to test the above algorithms separately, whose results show that our algorithms achieved acceptable recognition accuracy.
Surviving Biosafety: Coping with Occupational Stressors of Serving the Profession

The APHIS/CDC Form 3, Report of Theft, Loss or Release of Select Agents and Toxins (TLR incident report) is the mechanism by which the theft, loss or release of a biological select agent and toxin (BSAT) is reported to the United States Department of Agriculture (USDA)/Animal and Plant Health Inspection Service (APHIS) or Health and Human Services (HHS)/ Center for Disease Control and Prevention (CDC). A total of seven hundred and twenty seven (727) TLR Incident Reports were received by CDC between 2004 and 2010. Based on information contained in these reports, there were: • No reports of the theft of any BSATs, • One confirmed loss of a BSAT occurred during shipment out of 3412 transfers of BSAT conducted during that time
Comparative Analysis of the Top Soil Properties under Forested and Deforested Zones: Implications for the Environment

An investigation was carried out to examine the properties of top soils between 0 and 15cm under both deforested and forested zones in Bowen University, Iwo, Nigeria. Top soil samples in the deforested zone was taken from the Main Gate area of the institution while that of the forested zone was taken from the forested area opposite staff quarters of the University. The soil samples were subjected to standard laboratory tests in the University central laboratory. The results showed that deforested soil has sandy, clay and silt contents of 72.4%, 9.2% and 18.4% respectively while forested soil has 65.2%, 10.8% and 24% in the same order. Also it was discovered that soil under deforestation has organic carbon, organic matter, pH, field capacity, moisture and electrical conductivity of 0.32%, 0.55%, 6.8, 0.72 g, 126.9 g and 230 μʃ/cm respectively while soil under forest has 0.45%, 0.77%, 7.1, 0.90 g, 0.72 g, 129.2 g and 275 μʃ/cm in the same order. The implications of this results is that removal of vegetation contributes to the release of carbon into the atmosphere which increases atmospheric heat, alkalinity of soil, loss of soil nutrients and also could pose limits to the survival of plant growth and also susceptibility of soil to surface wash. Original Research Article Odekunle et al.; IJECC, 10(1): 19-25, 2020; Article no.IJECC. 51837 20 Thus, it is recommended that effort should be made to checkmate the removal of vegetation and if unavoidable, relevant policies should be put in place for edge development and its maintenance and also, reforestation steps as remedies to ensure sustainable environment.