Miracle-dz/UniFAR-FTUs huggingface dataset:
The “myth” of iodine allergy to radiocontrast in Emergency Medicine

[1] Law R, et al. Notes from the field: increase in reported adverse health effects related to synthetic cannabinoid use United States, January–May 2015. MMWR Morb Mortal Wkly Rep 2015;64(22):618–9. [2] Baum RA, et al. Suspected synthetic cannabinomimetic intoxication. Case Series and Review. J Pharm Pract 2017;31(2):238–43. [3] Seely KA, et al. Spice drugs are more than harmless herbal blends: a review of the pharmacology and toxicology of synthetic cannabinoids. Prog Neuropsychopharmacol Biol Psychiatry 2012;39(2):234–43. [4] Monte AA, et al. Characteristics and treatment of patients with clinical illness due to synthetic cannabinoid inhalation reported by medical toxicologists: a ToxIC Database study. J Med Toxicol 2017;13(2):146–52. [5] Rowley E, et al. Clinical and financial implications of emergency department visits for synthetic marijuana. Am J Emerg Med 2017;35(10):1506–9. Fig. 1. Increase in SC ED presentations using t-test and Segmented Poisson Model. Caption: The slopes represent the change in log-transformed admissions for these periods. Comparing the two slopes using a t-test, they are significantly different (p=0.015). Also, shown are ED presentations (the black linewith points) vs. the segmented Poissonmodel's predicted values (hashed line).
Modulation leakage vulnerability in continuous-variable quantum key distribution

Flaws in the process of modulation, or encoding of key bits in the quadratures of the electromagnetic light field, can make continuous-variable quantum key distribution systems susceptible to leakage of secret information. Here, we report such a modulation leakage vulnerability in a system that uses an optical in-phase and quadrature modulator to implement a single sideband encoding scheme. The leakage arises from the limited suppression of a quantuminformation-carrying sideband during modulation. Based on the results from a proof-of-concept experiment, we theoretically analyse the impact of this vulnerability. Our results indicate that the leakage reduces the range over which a positive secret key can be obtained, and can even lead to a security breach if not properly taken into account. We also study the effectiveness of additional trusted noise as a countermeasure to this vulnerability. © 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement
Growth performance of weaned pigs fed from different feeding troughs: comparison of concrete feeding trough, semi-automatic feeder and its combination

The study was carried out to evaluate the effect of concrete feeding trough, semi-automatic feeder and their combination on growth performance of weaned pigs. Sixty weaned cross bred (Large white x Landrace) pigs of average initial weight of 9.04 Kg were grouped based on sex and assigned to three dietary treatments, comprising two replicates of 10 weaned pigs each. The design of the experiment was completely randomized design. A standard diet was prepared to meet the nutrient requirements of weaned pigs. The diet was fed to the animals in concrete feeding trough (T1), semi-automatic feeder and concrete feeding trough (T2) and semi-automatic feeder (T3). The experiment was partitioned into three periods (Weeks 1-4, 5-8 and 1-8). Feed and water were given unrestrictedly throughout the period of the experiment. The feed intake and weights of the pigs were recorded on weekly basis. Feed conversion ratio and daily weight gain were calculated and the study lasted for eight weeks. There was no significant (P>0.05) effect of feeders on final body weight, average daily weight gain, daily feed intake and feed conversion ratio. The overall performance showed that combination of the feeders (T2) improved daily weight gain (369.71 g), average daily feed intake (1021.14 g) and had the best feed conversion ratio (2.99). It could be concluded that combination of concrete feeding trough and semi-automatic feeders improved the growth performance of weaned pigs.
What does learner wellbeing mean ?

To define learner wellbeing, it is first important to understand the construct of wellbeing more generally. In Western thought, wellbeing is a multidimensional state of being most commonly attributed to positive psychology (Seligman & Csikszentmihaly, 2000), which gave rise to the positive education movement. Wellbeing research and practice is founded on two historic traditions of wellbeing: hedonia and eudaimonia, both of which originated in Greek philosophy.
Phytoplankton stoichiometry reflects the variation in nutrient concentrations and ratios in a nitrogen-enriched coastal lagoon

ABSTRACT Human impacts on carbon, nitrogen and phosphorus cycles have differentially increased the flux of C, N and P to the coastal zone creating an altered environment with respect to nutrient stoichiometry for production and transfer of organic matter. Such changes can be more pronounced in closed and semi-enclosed ecosystems. The spatio-temporal variability in chl a, phytoplankton C, N and P content and stoichiometry were measured along with nutrients to reveal relations between them in a coastal lagoon. High nitrate concentrations and low availability of phosphate produced skewed nutrient stoichiometry that reflected itself in the large deviations of PC:PN and PN:PP from their corresponding Redfield ratios while the dynamic nature of fluctuations in nutrient concentrations led to wide variations in phytoplankton C, N and P content and in their ratios. The findings of the study provide insights into the possible alterations in phytoplankton stoichiometry in similar ecosystems receiving high inputs which is not balanced with phosphorus and/or where P-reduction is the mode of eutrophication control as both can produce skewed nutrient stoichiometry.
ATTITUDES OF COLLEGE STUDENTS IN THE COUNTRYSIDE TOWARDS THE TRADITIONAL AND SOCIAL MEDIA

The aim of this field work based research is to study the attitudes of college students, living in the northeastern region of Japan far from the big cities, towards the traditional media which hereafter means TV, radio, magazines, and the like and social media also referred to as networking service and SNS contents. To accomplish this purpose, a survey study was carried out in a typical countryside city located relatively far from big cities. The survey was not only specifically targeted at female students aged 18-20, but also composed by two experiments done on two different occasions, in 2016 and 2017, with the data collected from two different samples of respondents. In the first experiment, we assessed the level of importance and credibility that the respondents feel towards both the conventional and social media, whereas in the second experiment, which is an extended version of the former, we investigated the roles that these media play in the students’ consuming behavior in regard particularly to the entertainment, fashion and lifestyle articles and contents marketed on them, and their interplay in this process. The collected data set, which comprised 154 valid answersheets for the first experiment and 153 for the second, was statistically processed using factor analysis and structural equations modeling in order to build a quantitative model that allowed us to study the regional college students’ attitudes. The first experiment yielded a model with factors emphasizing aspects concerning the importance, security and reliability of the contents, whereas the second study provided a statistical model showing the triggering factors that attract the attention of the students and some of the conditions that may lead to the actual buying or consuming behavior. Finally, the findings here help understand how young people living in the countryside are accessing and narrowing down the huge amount of media contents available today, and conversely how they are influenced by them. Thus, the results may be of some use in the realm of information design and related fields.
Determination of anaerobic ammonium oxidation (anammox) bacteria in the domestic wastewater

Wastewater treatment plants (WWTPs) in Malaysia are commonly associated with oxidation tank and activated sludge treatment processes. However, the removal rate of ammoniacal nitrogen from the wastewater still requires alternative technology as compared with the self-purification method. This provides a platform for further investigation of the degradation of nitrogen. Anaerobic ammonium oxidation (anammox) bacteria have been found to provide a shorter pathway for degradation of nitrogen in wastewater with limited presence of oxygen. The temperature, pH, dissolved oxygen (DO), total nitrogen, ammonia, nitrite and nitrate concentrations were analysed for the samples collected from the local WWTP. Influence of the various Malaysia weather conditions upon the treatment process was also observed. The temperature was found to fluctuate between 29.6°C and 32.0°C throughout the experiments at commemorating pH values of between 5.78 and 7.22 and DO concentration of 0.62–1.53 mg/L. Molecular analyses including genomic DNA (gDNA) extraction, polymerase chain reaction amplification and DNA sequencing were conducted to identify the presence of anammox bacteria. The gDNA of the sludge from anoxic and sequencing batch reactor tanks were successfully extracted with the gDNA amount of 24.40 and 31.67 μg, respectively. Anammox bacteria namely Kuenenia stuttgartiensis was found in the selected wastewater samples from the local WWTP. Thus, the presence of anammox bacteria enhances the removal of nitrogen from wastewater in a relatively quick and short process with further investigation regarding anammox bacterial growth and development.
Partitioning cographs into forests and independent sets

To determine the chromatic number of a graph, we seek to partition the vertices into minimum number of independent sets. Similarly, for arboricity, we seek to partition the vertices into minimum number of sets, each of which induces a forest. Both problems seek to partition the vertices into sets that induce a sparse subgraph, and both are NP-hard in general and can be solved in polynomial time on cographs. In this thesis, we consider a mixed problem, where a graph is partitioned into p forests and q independent sets. It is known that for each p and q, the partition problem has a finite complete set of minimal cograph obstructions. For the cases where p = 0 or p = 1, a minimal obstruction characterization of (p, q)-partitionability of cographs was previously known. However, it was also known that the number of minimal obstructions grows exponentially with p. We consider the next case of p = 2 and q = 1, and provide a complete list of minimal cograph obstructions. We also provide polynomial time certifying algorithms for the cases p = 1 for any q, and p = 2 and q = 1. We also consider a vertex deletion version of the partition problem. Here, r vertices are allowed to be deleted so that the remaining graph admits a partition into p forests and q independent sets. For this problem, we provide a complete list of minimal cograph obstructions when p = q = r = 1, and p = r = 1, q = 2.
Audio Classification Based on Content Features

Audio classification is the process to classify different audio types according to contents. It is implemented in a large variety of real world problems, all classification applications allowed the target subjects to be viewed as a specific type of audio and hence, there is a variety in the audio types and every type has to be treatedcarefully according to its significant properties.Feature extraction is an important process for audio classification. This workintroduces several sets of features according to the type, two types of audio (datasets) were studied. Two different features sets are proposed: (i) firstorder gradient feature vector, and (ii) Local roughness feature vector, the experimentsshowed that the results are competitive to those gotten from other popular methods inthis field, such as Zero Crossing Rate (ZCR), Amplitude Descriptor (AD), Short Time Energy (STE)
The Nonhydrostatic ICosahedral Atmospheric Model for CMIP6 HighResMIP simulations (NICAM16-S): experimental design, model description, and impacts of model updates

Abstract. The Nonhydrostatic ICosahedral Atmospheric Model (NICAM), a global model with an icosahedral grid system, has been under development for nearly two decades. This paper describes NICAM16-S, the latest stable version of NICAM (NICAM.16), modified for the Coupled Model Intercomparison Project Phase 6, High Resolution Model Intercomparison Project (HighResMIP). Major updates of NICAM.12, a previous version used for climate simulations, included updates of the cloud microphysics scheme and land surface model, introduction of natural and anthropogenic aerosols and a subgrid-scale orographic gravity wave drag scheme, and improvement of the coupling between the cloud microphysics and the radiation schemes. External forcings were updated to follow the protocol of the HighResMIP. A series of short-term sensitivity experiments were performed to determine and understand the impacts of these various model updates on the simulated mean states. The NICAM16-S simulations demonstrated improvements in the ice water content, high cloud amount, surface air temperature over the Arctic region, location and strength of zonal mean subtropical jet, and shortwave radiation over Africa and South Asia. Some long-standing biases, such as the double intertropical convergence zone and smaller low cloud amount, still exist or are even worse in some cases, suggesting further necessity for understanding their mechanisms, upgrading schemes and parameter settings, and enhancing horizontal and vertical resolutions.
Bulk heterojunction solar cells based on low band-gap copolymers and soluble fullerene derivatives

The chemical structure of organic semiconductors that are utilized in bulk heterojunction photovoltaic cells may strongly influence the final device performances. Thus, better understanding the structure-property relationships still remains a major task towards high efficiency. Within this framework, this thesis reports in-depth material investigations including charge transport, morphology and photovoltaic studies on various novel low band-gap copolymers. First, the impact of alkyl side chains on the opto-electronic and morphological properties has been studied on a series of polymers. Detailed charge transport investigations showed that a planar conjugated polymer backbone leads to a weak dependence of the charge carrier mobility on the carrier concentration. This observation points out that the intra-molecular torsion angle contributes significantly to the electronic energy disorder. Solar cells using another novel copolymer based on pyridal[2,1,3]thiadiazole acceptor unit have been studied in detail next. Despite the almost ideal frontier molecular orbital energy levels, this copolymer did not perform in solar cells as good as expected. A combined investigation of the thin film microstructure and transport properties showed that the polymers self-assemble into a lamellar structure with polymer chains being oriented preferentially “edge-on”, thus hindering the out-of-plane hole transport and leading to poor charge extraction. Finally, the impact of fluorine atoms in fluorinated polymers on the opto-electronic and photovoltaic properties has been investigated. In this case, the presence of both flat-lying and standing lamellae enabled efficient charge transport in all three directions. As a consequence, good charge extraction was possible and allowed us to achieve a maximum power conversion efficiency of 9.8%.
Sentiment Analysis: A Research Perspective

: Nowadays, human sentiment analysis is one of the biggest challenges for computing technology researchers. Intelligent methods are used to capture human facial expressions then these expressions are analyzed by means of emotions, feelings, thinking, and behavior. Actually, it relates to human nature that can be observed and analyzed by person to person in a real-world environment. In this paper, we have proposed human sentiments analyses associate with social networking apps. These social networking apps must be built smarter so that they could interact with human sentiments. One of the widely used social networking web apps is Facebook, people used to connect, share their achievements, feelings, thinking, point of views, observations, and most probably emotions, through upload status, pictures, videos, and many other ways. We can achieve the goal by collaborating both fields such as human psychology and cognitive, possible to implement while connecting the camera with deep learning computing technology. Detecting and recognizing the real-time face image, analyzing facial expressions, and recommend activities according to the experimental outcomes of the analysis. The purpose is to generate an intelligent bridge between humans and computers which interact in a smart manner.
Standardizing D2 Lymphadenectomy in Gastric Cancer Using Checklist: A Retrospective Analysis of Prospective Cohort

Background: R0 surgical resection with D2 lymphadenectomy has been the cornerstone treatment in major gastric cancer guidelines for resectable locally advanced gastric cancer. The extent of D2 lymphadenectomy may vary among surgeons because of technical difficulty and lack of anatomical definition of individual lymph node (LN) stations. Objective: To standardize our surgical quality of D2 lymphadenectomy and improve surgical proficiency using checklist method. Method: In this retrospective analysis of a prospective cohort, all consecutive resectable gastric cancer patients who underwent curative gastrectomy with D2 lymphadenectomy in Kathmandu medical college and teaching hospital (KMCTH) were analyzed. A complete unedited video of our surgical procedure was recorded and evaluation was done for completeness of D2 lymphadenectomy. Surgical compliance (removal of indicated lymph node stations) and surgicopathological compliance (removal of > 15 lymph nodes) were recorded and assessed. Results: Out of 56 resectable gastrectomy patients, 41 (73.2%) were male and the mean age was 62 years. Average duration of surgery was 222 mins and mean hospital stay was 7 days. Surgical compliance occurred in 51 (91.1%) with 100% surgicopathological compliance. Median lymph node (LN) retrieved was 24. Conclusion: Surgical quality can be standardized using checklist in D2 lymphadenectomy for gastric cancers.
A low-voltage low-power CMOS voltage reference based on subthresholdMOSFETs

This paper describes a CMOS voltage reference using only resistors and transistors working in weak inversion, without the need for any bipolar transistors. The voltage reference is designed and fabricated by a 0.18 m CMOS process. The experimental results show that the proposed voltage reference has a temperature coefficient of 370 ppm/C at a 0.8 V supply voltage over the temperature range of –35 to 85 C and a 0.1% variation in supply voltage from 0.8 to 3 V. Furthermore, the supply current is only 1.5 A at 0.8 V supply voltage.
Functional Characterization of the Pacific Oyster, Crassostrea gigas (Bivalvia: Ostreidae), Hemocytes Under Normoxia and Short-Term Hypoxia

Hemolymph cellular composition, morphology and functional properties of the Pacific oyster (Crassostrea gigas) hemocytes were studied. Three hemocyte types (agranulocytes, hyalinocytes and granulocytes) were described in hemolymph. The morphology of each type was characterized by light microscopy and flow cytometry. Agranular cells (agranulocytes and hyalinocytes) were the dominant type of cells in hemolymph; their number was 86.7±2.7% of total cell count. Under hypoxia the number of agranulocytes increased (37.4% for control group versus 95.3% for hypoxic probes), whereas granulocyte and hyalinocyte number decreased up to 3.9% and 0.7% in hypoxic specimens respectively. The spontaneous ROS production decreased in each hemocyte type after exposure to hypoxia. Low dissolved oxygen did not influence hemocyte proliferation and mortality level.
Supplementary Material for Decoupled Dynamic Filter Networks

Table A compares the inference latency between convolution, depth-wise convolution, DDF module, and DDF operation for various feature resolutions. For all resolutions, the channel size is set to 256 and the batch size is 32. The inference latencies are evaluated on single GTX 2080 Ti GPU. We also measure the inference latency of only DDF operation (DDF Op) by omitting the time of filter generation. As we can see, DDF Op is always faster than convolution. Even the entire DDF module is faster than Conv for resolutions higher than 56 pixels, whereas the standard Conv layer is faster at smaller resolutions. This is mainly because the overhead of filter generation in DDF becomes more significant when operating at low resolutions. See the 7×7 and 14×14 inference latencies of DDF, the latency drop (0.03 ms) comes from the DDF operation, while both cases use 0.81 ms to generate filters.
Molecular Characterization and Fungicidal Activity of some Isolated Endophytic Fungi from some Wild Plants in Egypt

Endophytic fungi have several beneficial properties like the production of various bioactive compounds and antimicrobial impacts against many plant pathogens. So, they are qualified to be good biological control agents. The present study aimed to detect endophytic fungal isolates from eight wild plants in Egypt, identify these isolated fungal strains, determine the colonization frequency %, the most prevalent fungal strains and study the antimicrobial activity of these dominant isolates. Fifteen endophytic fungal strain was isolated from the selected wild plant species and morphologically identified. The most four dominant fungal strains were selected and confirmed their identification based on the internal transcribed spacer (ITS) region sequence by using the polymerase chain reaction (PCR) with the primer pairs ITS1/ITS4. The results revealed that among the selected plant species, Calotropis procera had the highest endophytic fungi diversity (relative frequency 25%). The most dominant isolates were molecularly identified as Aspergillus niger, and Beauveria bassiana with dominance percentage 15.25% followed by A. terreus (13.5%) then Trichoderma harzianum (11.86%). The antagonistic activity of these four isolates against some plant pathogenic fungi using both dual culture technique and the ethyl extracts of these isolates at different concentration (100, 200, 300 ppm) were examined. The results proved the efficiency of almost all of these isolates in repressing the pathogen growth except endophytic B. bassiana, the effect was not clear. This study revealed that wild plants are a good source of many endophytic fungal strains that may be exploited in different fields like the biological control field.