Miracle-dz/UniFAR-FTUs huggingface dataset:
Azimuth Resolution Improvement for Squinted Synthetic Aperture Radar Imaging Based on Matched Slope Filter

Improving the resolution of Synthetic Aperture Radar (SAR) is a major issue that has gained significant attention recently, especially in the squint mode where obtaining high resolution is challenging. Generally speaking, the azimuth and range resolutions can be improvement by applying matched filtering for compressing the signal. Signal compression is a major part of the well-known algorithms such as the Range Doppler algorithm (RDA) and the Chirp Scaling Algorithm (CSA) by which high positioning accuracy and high resolution are obtained. The transmitted signal by SAR is most often in the form of linear frequency modulation (LFM). However, the chirp signal is always generated in the SAR azimuth direction at the receiver. The squint of observation angle of the radar makes the chirp signal non-linear and non-stationary. Consequently, this study particularly focuses on the azimuth signal compression and instead of the Matched Filter (MF) based on Fourier Transform (FT), an alternative Matched Filter is used for signal compression on time-frequency domain that is known as Matched on Slope Filter (MSF). The Matched on Slope Filter improves the effectiveness of the compression in both squint and non-squint modes. The simulation results indicate that the proposed method improves the resolution and decreases the Peak to Side Lobe Ratio (PSLR) in the target detection. 
Mycobacterial Infection in Children at the Chu Hospital Du Mali: A Series of 12 Cases

Introduction: Mycobacterial infections include infections with M. tuberculosis complex, M. leprae, and non-tuberculous mycobacteria. Mycobacteria can cause a wide variety of infection. Diagnosis of these infections is challenging especially in children because of low availability of clinical and laboratory services particularly in low-resource settings. Methods: We describe a retrospective case series of mycobacteria infections in children aged 0-15 years at the pediatric department of the Hospital du Mali between January and December 2017. The diagnosis was based on clinical assessment, microbiology (microscopy, culture, PCR); histopathology findings; and radiology evidences. Results: During the study period, 11354 children were seen in consultation among them 60 children had suspicion of Tuberculosis (TB). Mycobacteria infection was retained in 12 children. 66.7% were male and the average age was 8 years. Ten children (83.3%) were BCG vaccinated and 16.7% had history of TB contact. The most common symptoms were cough (83.3%), fever (75%), general state altered (75%) and dyspnea (50%). The locations were Lung (58.3%), miliary (16.7%), multifocal (8.3%), pericarditis (8.3%) and pleural (8.3%). The Tuberculin Skin Tests (TST) was negative in 58.3%. All children (100%) were seen more than
DIFFERENCE-BASED PARAMETER SET FOR LOCAL HEARTBEAT CLASSIFICATION : RANKING OF THE PARAMETERS

The initial step in the diagnosis of cardiac dysfunctions is the detection and classification of different types of heartbeats in the electrocardiogram (ECG). The aim of the present work was to assess the ability of a difference-based parameter set, containing information for an amount of morphological heartbeat features and for the RR intervals, to provide an adequate local heartbeat classification without requiring manual annotation of patient specific heartbeats. The study was performed on all ECG recordings from the internationally recognised MIT-BIH arrhythmia database. The results showed that the proposed differencebased parameter set could be a suitable tool for classification of ventricular ectopic beats.
Inter-annotator Agreement: By Hook or by Crook

Through an extended case study, this paper reveals the metaphorical skeletons hidden in statistical cupboards of selective reporting, casting a new light on inter-annotator agreement (IAA) measures. Strategic decisions and their impacts on IAA were tracked in an extended corpus study of rhetorical functions in scientific research abstracts. A search of the research notes of the principal investigator resulted in 142 notes tagged with #IAA that were written between 2013 and 2017. The strategic decisions and their actual or perceived impacts on IAA were logged. A root cause analysis was also conducted to identify the causal factors that reduce IAA. The results show numerous strategic decisions, which using template analysis, were grouped into three categories, namely methodological, statistical and rhetorical. High IAA may be attributed to sound or cogent methodological choices, but it could also be due to manipulating the statistical smoke and rhetorical mirrors. With no standardized convention for reporting IAA in corpus linguistics, researchers can select statistics that portray IAA more or less positively. The metaphorical skeletons hidden in statistical cupboards of selective reporting are revealed, casting a new light on IAA measures of agreement and disagreement. Practical guidelines on best practice are suggested.
Learning neural representations of complex motor behavior with recurrent neural networks

An increasingly popular approach in neuroscience is to train recurrent neural networks (RNNs) to perform tasks done by animals in the laboratory. The dynamics in these networks often resemble those seen in the real brain, and understanding how the RNN solves the task may provide mechanistic insight into how the real nervous system does the same. For our project, we trained RNNs to perform motor learning tasks in which an agent must control a cursor on a screen and move it to a target location. These RNNs are intended to serve as models for a large dataset of neural recordings in premotor and motor cortices (150-200 neurons recorded simultaneously) of two monkeys as they controlled a manipulandum to generate point to point arm movements. The animals had to subsequently learn to control the cursor after a curl force field (continuous force perturbations perpendicular to movement direction) was applied to perturb the cursor movement. In order to model this task as a supervised learning problem, we trained the RNN to generate the kinematics of smooth reaches to a target location. The inputs to our RNNs are three timeseries–the horizontal and vertical locations of the target as step functions (like a target appearing on the screen) and a pulsed "go cue" that indicates when to start the movement. The output of the networks are the vertical and horizontal components of the position, velocity, and acceleration for a smooth reach to the target that begins with the go cue (Fig 1). In addition, we explored training reinforcement learning agents to perform the same tasks (Fig 4).
SpotCheck: On-Device Anomaly Detection for Android

In recent years the PC has been replaced by mobile devices for many security sensitive operations, both from a privacy and a financial standpoint. While security mechanisms are deployed at various levels, these are frequently put under strain by previously unseen malware. An additional protection layer capable of novelty detection is therefore needed. In this work we propose SpotCheck, an anomaly detector intended to run on Android devices. It samples app executions and submits suspicious apps to more thorough processing by malware sandboxes. We compare Kernel Principal Component Analysis (KPCA) and Variational Autoencoders (VAE) on app execution representations based on the well-known system call traces, as well as a novel approach based on memory dumps. Results show that when using VAE, SpotCheck attains a level of effectiveness comparable to what has been previously achieved for network anomaly detection. Interestingly this is also true for the memory dump approach, relinquishing the need for continuous app monitoring.
A New Class of Biodegradable Thermosensitive Polymers. 2. Hydrolytic Properties and Salt Effect on the Lower Critical Solution Temperature of Poly(organophosphazenes) with Methoxypoly(ethylene glycol) and Amino Acid Esters as Side Groups

The hydrolytic properties of the novel biodegradable thermosensitive poly(organophosphazenes) with methoxypoly(ethylene glycol) (MPEG) and amino acid esters as side groups have been studied by means of gel permeation chromatography and 31P and 1H NMR spectroscopy and by identification of the hydrolysis products. The polymers substituted with α-amino acid esters were hydrolyzed faster than that with β-amino acid ester. The higher content of the amino acid ester in the polymer backbone caused enhanced hydrolysis. The rate of the polymer degradation decreased in the order of methyl > ethyl > benzyl esters. The polymer hydrolysis occurred more rapidly in both acidic and basic buffer solutions than in the neutral solution. The 31P NMR spectra of the polymers with high content of glycine ethyl ester showed that the polyphosphazene backbone underwent fragmentation mostly to small molecules after incubation in the buffer solution of pH 10 for 26 days. Phosphates and ammonia were formed as hydrolysis products in m.
A review of Telehealth practices in Sri Lanka in the context of the COVID-19 pandemic

Coronavirus Disease of 2019 (COVID-19) pandemic has made healthcare staff work with physical distancing; hence Telemedicine/Telehealth is receiving renewed attention. Although Telemedicine/Telehealth is one of the major components of healthcare in most developed countries, Sri Lanka is yet to harness its full potential. The digital health ecosystem is made up of multiple interconnected solutions aimed at achieving the common goal of healthcare delivery. In the current situation, Telehealth, Telemedicine, and Internetbased Prescriptions are major components of the ecosystem. Internet-based prescriptions, which is one of the widely used Telemedicine practices, became legalised at the beginning of this century in the Western world with the incorporation of appropriate Telemedicine guidelines. Many Telemedicine solutions have emerged in Sri Lanka over the past decade including video conferencing, audio consultations, teleprescriptions and prescriptions sent by Short Message Service. These have been developed in an ad hoc manner. Therefore, the medical community, as well as the general public, must understand how Telemedicine and internet-based prescribing enable the delivery of healthcare services in the local context. In this paper, we review the current status of Telehealth services in Sri Lanka and discuss the need for regulations to ensure maximum benefit from these services.
Fungal Endocarditis: A case of Candida glabrata Endocarditis

Infective endocarditis is a rare but life-threatening disease with increasing prevalence. A systemic review by Abdulhak, et al. [1] has shown a crude incidence range from 1.5 to 11.6 cases per 100,000 in high income countries1. Fungal Endocarditis (FE) accounts for a small portion of all cases of endocarditis, only about 1.3-6% [2]. It has a high mortality and morbidity, ranging within 30-80%. Intracardiac devices or prosthetic valves are important risk factors for fungal endocarditis. The most commonly reported Non-Albican Candida (NAC) causes of Fungal Endocarditis in 2001 was Candida parapsilosis [3]. However that has changed and currently Candida glabrata is the most prevalent NAC pathogenic fungi in humans [4]. In this report we discuss a case of recurrent FE caused by C. glabrata as well as current challenges in treatment. Our patients developed C. glabrata FE once on a native valve and again two years later on his prosthetic valve.
Circular Dichroism of Neutral Zinc Porphyrin-Oligonucleotide Conjugates Modified with Flexible Linker

Neutral zinc porphyrin containing flexible alkyl linker, 5-[4-(5-hydroxypentyloxy)phenyl]-10,15,20-tri-p-tolylporphyrinatozinc, was attached to the 5′ ends of 20- and 30-bp oligodeoxynucleotides (O.
Recipe for a Quality Scientific Paper: Fulfill Readers! and Reviewers! Expectations

section. Once the paper is done you will need to write an abstract. The abstract typically includes the importance of the subject area (linked backward to title), the problem to be investigated, the uniqueness of your approach and the significance, implications and impact of the results. Here is an example of an effective abstract: How to make an objective assignment of secondary structures based on a protein structure is an unsolved problem. Defining the boundaries between helix, sheet, and coil structures is arbitrary, and commonly accepted standard assignments do not exist. Here, we propose a criterion that assesses secondary-structure assignment based on the similarity of the secondary structures assigned to structurally aligned residues in sequence-alignment benchmarks. This criterion is used to rank six secondary-structure assignment methods: STRIDE, DSSP, SECSTR, KAKSI, P-SEA, and SEGNO with three established sequence-alignment benchmarks (PREFAB, SABmark and SALIGN). STRIDE and KAKSI achieve comparable success rates in assigning the same secondary structure elements to structurally aligned residues in the three benchmarks. Their success rates are between 1-4% higher than those of the other four methods. The consensus of STRIDE, KAKSI, SECSTR, and P-SEA, called SKSP, improves over assignments over the best single method in each benchmark by an additional 1%. These results support the usefulness of the sequence alignment benchmarks as the benchmarks for secondary structure assignment. The first two sentences state the problem. The third sentence is the proposed solution. These sentences are followed by the results. The abstract should end with a summary statement.
Loss Aversion and the Transmission of Monetary Policy∗

We propose a novel explanation of the evidence that output and prices react asymmetrically to monetary policy over the business cycle. We design a dynamic general equilibrium model in which households’ utility depends on consumption deviations from a reference level below which loss aversion is displayed. In line with the theory developed by Kahneman and Tversky (1979), losses in consumption loom larger than gains. State-dependent degrees of real rigidity and elasticity of intertemporal substitution in consumption generate competing effects on output and inflation. The resulting state-dependent trade-off between inflation and output stabilization recommends stronger policy activism towards inflation during expansions. JEL: E32; E42; E52; D03; D11.
Influencer Impact on Brand Awareness: A Mixed Method Survey in the German Fashion Segment

This study evaluates the impact of influencer marketing on consumers. Although online influencers are long established in German B2C markets, research in the field is scarce. Marketing managers are unsure how influencer marketing strategies should be drafted and which influencers should be recruited in order to maximize their marketing efforts at the consumer level. Based on a review of previous theoretical and empirical literature, a mixed method empirical study comprising semistructured interviews with three German fashion influencers and a consumer survey (N = 385) among the followers of these influencers are conducted to evaluate the impact of influencer activity on consumer followership, brand awareness and purchase intention. Results indicate that the intensity of influencer network involvement, intrinsic influencer motivation, authenticity of communication style and the real-life character of influencer posts increase the dependent variables. Hence, the empirical study has contributed to identify the most important determiners for the German B2C fashion influencer segment. Marketing managers are strongly advised to select influencers adequately and organize their marketing strategy in correspondence with their company and products.
Keynote Address

In this essay neoclassical Cost-Benefit Analysis (CBA) is criticized as beinng too simplistic and also too specific in ideological terms. Positional Analysis (PA) is advocated as an alternative based on a definition of economics in terms of multidimensional analysis and democracy. Non-monetary impacts are regarded as being as ’economic’ as monetary ones and decision-making is seen as a multiple stage proces where issues of inertia, path dependence and irreversibility can be considered. While PA is still based on some simplifications, it is argued that the approach is closer to the complexities of the real world. Sustainable Development is presented as a multidimensional issue where mainstream neoclassical theory has failed. A degree of pluralism in economics is needed to overcome some of the present unsustainable trends. As an example CBA-analysts cannot dictate correct values for assessments in a democratic society. In relation to decision-making, different and competing ideological orientations have to be considered.
Effects of organic selenium on thrombocytes and parasite infestation in nile tilapia juveniles

The knowledge of fish mineral requirements, such as selenium, is important to promote the growth and health status for fish in captivity, but excess or deficiency must be avoided. Therefore, this study evaluated the growth performance, hematology and the parasite load of Nile tilapia (Oreochromis niloticus) supplemented with organic selenium (0.0; 0.25; 0.5; 1.0 and 1.5 mg/Kg). The increased levels of selenium did not affect significantly (p<0.05) the growth performance of tilapia. However, the increases of thrombocytes and parasite load are proportional to the increases of selenium levels. Unlike expected, supplemented diets with selenium did not benefit growth performance and supplementation of 1.5 mg/kg caused deleterious effects on the health of tilapia.
“I feel so happy now” Afghan students’ cross-cultural adaptation experiences in Turkey

The main purpose of this qualitative case study is to understand Afghan students’ crosscultural adaptation experiences by applying Kim’s theory of cross-cultural adaptation. Within the first part of this study, we discuss cross-cultural adaptation theory and give some information about Afghan immigrants in Turkey. Then, Afghan students’ experiences are discussed under three sub-themes within the frame of Kim’s stress adaptation growth model. The participant group consisted of three middle school students who have come from Afghanistan to Turkey at different times. Data for this study were collected by using semistructured interviews and analyzed through a content analysis technique. Findings revealed that Afghan students have lived through many positive and negative experiences in the whole process. Similar cultural characteristics, the target language, people’s attitudes towards immigrants in the host country, religious and cultural proximity play critical roles in adapting to the new environment. The last section includes a conclusion and offers some implications for research and practice.
Urban Open Greenspace as a Commons An Exploratory Case Study in Greece

This paper defines urban open greenspace as an urban commons and empirically explores the possibility of its collective management, using Volos city, one of the major urban areas in Greece, as a case study. A survey of about two thousand people was conducted for this purpose, which examined, inter alia, people’s perception of the condition and qualities of urban greenspace, their views on a possible reconfiguration of property rights on the resource, and their willingness to collaborate on the self-governance of urban greenspace. Moreover, using ordered logit models, we explore the conditions, values, opinions and characteristics that affect the likelihood of people getting involved in collective management arrangements. The results indicate that users have reservations about such arrangements, which may be attributed to a lack of trust both in each other and in public authorities and institutions. This reveals a considerable deficit in social capital, which is regarded as essential for fostering cooperation in collective-action situations.
Prospective analysis of risk factors for hepatocellular carcinoma in patients with HBV-related liver cirrhosis

Background: Hepatocellular carcinoma (HCC) is associated with liver cirrhosis, especially HBV-related cirrhosis. Early detection offers the best odds of improving HCC outcomes. The current study aimed to discover predictive factors for development of HCC in Chinese Han patients with HBV-related liver cirrhosis. Methods: A total of 177 patients, aged 40 to 60 years, with HBV-related liver cirrhosis in Child-Pugh class A or B, were enrolled. The predictive value of different risk factors was evaluated using Kaplan-Meier and Cox regression methods. Results: At the end of follow-up, 38 patients developed HCC. According to Cox regression analysis, five variables showed an independent predictive value for development of HCC, including age more than 55 years, history of esophageal variceal bleeding, prothrombin activity less than 75%, platelet count less than 75 × 103/mm3, and AFP levels more than 38 ng/mL. Serum AFP levels were significantly increased in poorly-differentiated patients, compared to the moderately differentiated group and well differentiated group. Conclusion: The present study found that five risk factors (age, esophageal variceal bleeding history, prothrombin activity, platelet count, and AFP) may be predictive values for patients with HBV-related cirrhosis. A simplified score, made up of these risk factors, enabled present researchers to identify patients with cirrhosis that were at high risk or low risk for development of HCC. Higher AFP levels were significantly related to poorly-differentiated patients.
Nightclubs and the factors that influence the overall rating in Google reviews Discotecas y los factores que influyen en la calificación general en las reseñas de Google

The objective of this research was to investigate which dimensions (empathy, security, tangibility, reliability, and service) influence the overall evaluation score of Google reviews of night clubs in the Costa Verde Mar region present in the DJMag Magazine ranking. To achieve this purpose, quantitative research was conducted, and the data were analyzed using multiple linear regression. 577 feedbacks were collected and categorized in Microsoft Excel using 1 for positive feedback, 0 for absent or neutral comments, and -1 for negative comments. Finally, he used a Linear Regression Analysis through SPSS (23). The results showed that the dimensions of empathy, tangibility, security, and service have a significant influence on consumers when reporting their assessments online. The study offers theoretical and practical contributions to nightclubs.