Miracle-dz/UniFAR-FTUs huggingface dataset:
A Prospective Study on Chemotherapy Induced Anemia Using Serial Hemoglobin Measurement in Cancer Patients Undergoing Treatment at National Hospital Abuja, Nigeria

Objectives: Anemia is a common complication of myelo-suppressive chemotherapy. Severe anemia is treated with red blood cell transfusion. Mild-to-moderate anemia are managed conservatively. There is no established benchmark for hemoglobin of patients to guide a global best practice and enhance treatment outcome. This study examines the change in Hb levels of cancer patients undergoing chemotherapy measuring Hb after treatment. Methods: About 100 voluntary patients with solid malignancies were recruited within 8 months. Baseline demographic characteristics and tumours types were documented. Pre-treatment Hb level was measured on the first day of consultation and repeated every 2 weeks during and after the therapy until after three consecutive Hb readings. Results: Breast 68% (68) was the commonest site of tumor. Prevalence of anemia was 72% and most patients had their Hb within the range of 9.60 to 10.62 g/dl after treatment. At P-value >0.05 and SD there was no statistical significance on distribution of mean hemoglobin values, were independent of sex and type of treatment. Conclusion: Chemotherapy has no effect on Hb level between 11 to 12 g/dl. Prevalence of anemia in the cohort of patients was 72%. We recommend a benchmark minimum of Hb of 11 g/dl for patients.
Identifikasi Caesio cuning berdasarkan Karakterisasi Morfometrik dan DNA Barcoding yang didaratkan di Pasar Ikan Muara Baru, Jakarta

Yellow-tailed fish (Caesio cuning) have morphologically similarities with Lutjanidae families, it causes ambiguity on species authentication process. The process of species identification using morphological characteristic does not provide a precise information related to the species.This study was aimed to identify the morphometric and molecular of Yellow-tailed fish (Caesio cuning) which landed on Muara Baru Fish Market, Jakarta using COI gene. A total 30 fishes were observed their nineteen morphometric characters, and 1 fish sample was taken from the fins for DNA extraction, amplification using PCR method, electrphoresis visualization, and sequensing. Sample was analyzed by MEGA 6 software. Based on morphological analysis showed that sampel are Yellow-tailed fish which part of Caesio genus and Caesionidae family. While, genetic analysis using COI gene showed has similarities with database of Genbank NCBI. It can be concluded that identification using morphological character and DNA barcoding methode showed the species belong to Yellow-tailed fish (Caesio cunning). Ikan Ekor Kuning (Caesio cuning) memiliki kemiripan morfologi dengan anggota famili Lutjanidae lainnya, hal tersebut menyebabkan kesulitan dalam proses autentikasinya. Proses identifikasi pada suatu spesies menggunakan karakteristik morfologinya belum mampu memberikan informasi yang akurat terkait spesies tersebut. Penelitian ini bertujuan untuk mengidentifikasi ikan ekor kuning (Caesio cuning) yang didaratkan di Pasar Muara Baru, Jakarta melalui kajian karakteristikmorfometrik dan DNA barcoding menggunakan marka gen COI. Total 30 ikan diamati karakter morfometriknya, dan 1 sampel ikan diambil bagian siripnya untuk dilakukan ekstraksi DNA, amplfikasi PCR, elektroforesis, sekuensing dan dianalisis menggunakan aplikasi MEGA 6. Hasil analisis morfologi menunjukkan sampel ikan berasal dari genus Caesio dan termasuk famili Caesionidae. Sedangkan berdasarkan analisis secara molekuler menggunakan marka gen COI, didapatkan hasil bahwa spesies yang diamati (Caesio cuning) memiliki kemiripan dengan database GenBank NCBI. Dapat simpulkan bahwa identifikasi secara morfologi dan DNA menunjukkan bahwa spesies yang di peroleh yaitu Ikan ekor kuning (Caesio cuning).
Examining the Effect of Shopping Mall Attributes in Predicting Tourist Shopping Satisfaction and Behavioral Intentions: Variation across Generation X and Y

ABSTRACT The objective of this study is to investigate the effect of shopping mall attributes in predicting tourist shopping satisfaction and behavioral intentions. More specifically, to test the different perceptions of generation X and Y on the relationship between shopping mall attributes, tourist shopping satisfaction and behavioral intentions. A systematic random sampling technique is used in this study. Six hundred questionnaires are distributed to target respondents, of which only 282 samples are returned, yielding a 47% response rate. The results indicate that shopping mall attributes play an essential role in predicting tourist shopping satisfaction and behavioral intentions. Moreover, tourist shopping satisfaction has a significant relationship with behavioral intentions such as repurchase intention, loyalty, and desire to stay longer at shopping malls. To maintain the relationship with shoppers, shopping malls must continuously improve their service to increase tourist shopping satisfaction and behavioral intentions. Tourists who are more interested in shopping prefer to stay longer and express willingness to return regularly to the shopping mall than tourists who are less interested in shopping. A better understanding of shopping mall attributes in predicting tourist shopping satisfaction is critical for the successful and sustainable shopping tourism industry. It may help mall managers and retailers in building retail strategies to encourage repurchase intention, loyalty, and desire to stay longer at the shopping malls.
The Relationship Between Corneal Hysteresis and Progression of Glaucoma After Trabeculectomy

Supplemental Digital Content is available in the text. Purpose: The purpose of this study was to investigate the association of corneal hysteresis (CH) measured with Ocular Response Analyzer on the progression of glaucoma after trabeculectomy. Materials and Methods: Twenty-four eyes of 19 patients with primary open-angle glaucoma underwent trabeculectomy. A series of visual fields (Humphery Field Analyzer 24-2 SITA-standard) were measured starting after 6 months after trabeculectomy (4.2±5.0 y, mean±SD). The mean total deviation (mTD) of the 52 test points were calculated. In addition, the mTD was divided into the following areas: central area (within central 10 degrees), superior area and inferior area: mTDcentre, mTDsuperior, and mTDinferior, respectively. The relationship between each area’s progression rate of mTD and the 7 variables of baseline age, central corneal thickness, baseline mTD, mean intraocular pressure (IOP), SD of IOP divided by the mean IOP, the difference between baseline IOP obtained before the initiation of any treatment, mean IOP, and CH were analyzed using the linear mixed model, and the optimal model was selected using the model selection method with the second ordered Akaike Information Criterion. Results: In the optimal model for mTD progression rate, only CH was selected with the coefficient of 0.11. The optimal model for the mTDcentre progression rate included mean IOP with the coefficient of −0.043 and CH with the coefficient of 0.12, and that for mTDinferior included only CH with the coefficient of 0.089. There was no variable selected in the optimal model for the mTDsuperior progression rate. Conclusion: CH is a useful measure in the management of glaucoma after trabeculectomy.
In vitro antibacterial activity of ethanolic crude extracts of Capsicum annum against Staphylococcus aureus and Escherichia coli isolated from pus and stool samples at Ruhengeri Referral Hospital, Rwanda

This work aimed at determining the antibacterial activity of ethanolic crude extracts of leaves and fruits of Capsicum annum against Staphylococcus aureus and Escherichia coli; isolated from pus and stools samples of patients in Ruhengeri Referral hospital, Rwanda. Fruits and leaves of C. annum samples were collected from Sina Gerard enterprise in Rulindo District in July, 2012. Plant samples were shade dried for 10 days, and then standard method was used for extraction using 96% ethanol as a solvent. Antibacterial activities of ethanolic crude extracts of fruits and leaves of C. annum were determined against E. coli and S. aureus using standard disc diffusion method. Minimum inhibitory concentrations (MIC) and Minimum bactericidal concentrations (MBC) were also determined. Results showed that crude extracts of leaves and fruits of C. annum had antibacterial efficacy against S. aureus and E. coli. The mean diameter of inhibition zones and standard deviation of fruits crude extract against S. aureus and E. coli ranged from 8.17± 0.15 to 11.0 ± 0.89 mm, and 14.0 ± 0.25 to 17.9 ± 0.35 mm; respectively, while those of leaves crude extract ranged from 9.7 ± 0.26 to 14.7± 0.25mm, and 8.7± 0.35 to 11.1 ± 0.38 mm; respectively, at increasing extract concentration from 50 to 200 mg/ ml. MIC of fruits ethanolic crude extract against E. coli and S. aureus was 25 and 12.5mg /ml; respectively, while MBC was found to be 50 and 25mg/ ml, respectively. However, MIC of leaves ethanolic crude extract against E. coli and S. aureus were 50 and 12.5mg/ ml respectively, while MBC was found to be 100 and 50 mg/ ml, respectively. We concluded from this study that, ethanolic crude extract of both fruits and leaves of C. annum collected from Rwanda had antibacterial potential against tested bacteria, thus could be used as sources of new drugs.
Individual and Sexual Differences in Time to Habituate to Food-Stimuli Presentation of Potential Prey in Hyla Japonica

Abstract: The traits of many animal species exhibit individual and sexual differences. Individuals repeatedly receiving a stimulus without harm become habituated to it. However, few studies have been conducted on individual and sexual differences in the process of habituation to unfamiliar food stimuli. Therefore, we hypothesized that individual differences or sexual differences would be observed in reaction to an in-lab food-stimuli presentation of potential prey items (after that “food stimuli”). We tested the hypothesis using the Japanese tree frog Hyla japonica, and conducted statistical analyses of these results. A generalized linear model (GLM) showed individual and sexual differences in time to get used to the food stimuli. Females habituated more rapidly to food stimuli than males. The difference between sexes is discussed in view of two ultimate and one proximate reasons.
High-Q nanobeam cavities on a silicon nitride platform enabled by slow light

Silicon nitride integrated photonic devices benefit from a wide working spectral range covering the visible and near-infrared spectra, which in turn enables important applications in bio-photonics, optical communications, and sensing. High-quality factor optical resonators are essential photonic devices for such applications. However, implementing such resonators on a silicon nitride platform is quite challenging due to the low refractive index contrast attainable with this material. Here, we demonstrate that silicon nitride photonic cavities comprising a slow-light waveguide bounded by mirrors can in principle exhibit quality factors in the order of several millions despite a relatively low refractive index contrast. We show that the energy stored in such a slow-light cavity exhibits a cubic dependence on the cavity length, which can enable extremely large quality factors with modest-length cavities. We present the design and experimental characterization of silicon nitride slow-light nanobeam-type cavities. Two sets of nanobeam cavities were fabricated to experimentally verify the cubic dependence of the Q factor on the cavity length. The highest measured Q factor in our devices is 4.42 × 105, which is limited by fabrication imperfections.
AB0485 INVESTIGATION OF PERMANENT ORGAN DAMAGE IN GIANT CELL ARTERITIS: DISEASE FLARES ARE ASSOCIATED WITH INCREASED DAMAGE SCORES

Development of organ damage is a major concern in patients with systemic vasculitis. Treatment may also contribute to this important outcome. Scoring systems has been developed to evaluate organ damage in systemic vasculitis and specifically for large vessel vasculitis (1). We aimed to investigate permanent organ damage and determining factors in our giant cell arteritis GCA cohort.Organ damage detected at the time of diagnosis and / or follow-up and irreversible for at least 3 months in GCA patients followed up between 1998-2018 were recorded by using Vasculitis Damage Index (VDI) and Vascular Vasculitis Damage Index (LVVID) fom patient records of our vasculitis clinic. In the statistical evaluation, chi-square, students t-test and logistic regression analysis were used.Eighty-nine patients (64% women, mean age 67.9 ± 9.1) included in the study, the mean follow-up duration was 61.6 ± 58.6 months. All organ damage findings according to both VDI and LVVID are shown in table-1. In this cohort, cardiovascular damage items and diabetes mellitus were prevalent at baseline. At least one damage item was present in 53 (59,5%) according to VDI; 54 (%60,7) according to LVVID and agreement was high between two damage indices (kappa=0.97). Forty-seven of patients (52%) had a damage item presumably with contribution of GC treatment e.g. locomotor system findings, hypertension, diabetes and cataract; 12 (13,5%) had damage items related to disease (total or partial vision loss, ischemic optical neuropathy). Mean time to diagnosis after initial symptoms was longer in patients with permanent vision loss (10,2±4,3 vs. 5,2±1,2 months p=0.006). The presence of damage was associated with flares in univariate and multivariate analysis (29/54 vs. 2/35 p<0,001 OR=19 %95 GA 4,2– 87,9). All patients who had a flare during the first year (n = 15) developed signs of damage at follow-up. No association was found between the development of organ damage and the age of diagnosis, the time between first complaint and diagnosis, presence of cranial, ophthalmologic findings, PET-CT positivity, cumulative steroid dose, and DMARD use.In our study, permanent organ damage was analysed by using diffrerent indices. In this patient population baseline cardiovascular damage and diabetes mellitus were frequent as expected but information for osteoporosis was lacking. More than half of the patients had damage and significant part of the present items was considered due to corticosteroid treatment. The most common damage item developed was osteoporosis. There was a very good agreement between the two indices, despite few specific items in LVVID. The striking relationship of disease flare with damage and frequency of visual problems despite treatment indicate the necessity of new treatment strategies. [1]Kermani, T.A. , et al.,Evaluation of damage in giant cell arteritis.Rheumatology (Oxford), 2018.57(2): p. 322-328.None declared
Nutritional properties and nutrients chemical analysis of common beans seed

This paper presents a revision on the nutritional properties and chemical methods used in nutrient analysis together with their main applications in food science research. The dissertation includes a review of literature on the distribution of common beans and their nutritional and importance develops knowledge about common beans and nutrient chemical analysis. In fact, nutrients are substances required by the body to perform its basic functions. Nutrients must be obtained from diet, since the human body does not synthesize them. Nutrients are used to produce energy, detect and respond to environmental surroundings, move, excrete wastes, respire (breathe), grow, and reproduce. There are six classes of nutrients required for the body to function and maintain overall health. These are carbohydrates, lipids, proteins, water, vitamins, and minerals. Separate methods are required to describe quantity, composition, and quality of nutrient in foods. Our work has to present both nutrients compositional in common beans and analysis methods.
SNPMace – a meta-analysis to estimate SNP effects by combining results from multiple countries.

Selection of bulls and cows is increasingly made on genomic estimated breeding values (GEBVs) calculated from their SNP genotypes and the estimated effects of each SNP. To obtain the most accurate GEBVs a large training population of animals with phenotypes and genotypes is needed. For some traits, some breeds and some countries such a large training population is not available. In these cases it would increase the accuracy of GEBVs if information from multiple countries and breeds were combined. This paper describes a meta-analysis to combine SNP effects from multiple countries. A project to test this procedure is under way and, if successful, may result in a new Interbull service.
The philosophy of control of air pollution in the United Kingdom

The United Kingdom uses an air pollution control system based on the best practicable means (b.p.m.) philosophy. The philosophy recognizes that a degree of air pollution is inevitable in present-day industrial society, and strives to optimize this pollution so that the total interest of society is best served. Account must be taken of health and amenity effects, of the capabilities of pollution arrestment techniques, of the finances of industry and effects on employment, and of the national need for the product. This paper describes the operation by H.M. Alkali and Clean Air Inspectorate of the four basic components of the b.p.m. philosophy: the setting of emission limits and other requirements which will give acceptable levels of ambient air pollution, prior approval of works’ air pollution control equipment, continuing inspection and testing of the operation of control equipment, and prosecution of works managements where requirements are not met. It is shown that the b.p.m. philosophy compares favourably with alternative philosophies based on systems of statutory air quality standards or statutory emission standards. It is suggested that the b.p.m. philosophy can be developed and, with its involvement of workers, management, local interests and control authorities, is the system best able to meet the needs of air pollution control in the future.
The Optimization of Website Visibility and Traffic by Implementing Search Engine Optimization (SEO) in Palembang Polytechnic of Tourism

This research is a case study of Search Engine Optimization (SEO) in Palembang Polytechnic of Tourism website. The main objective of this research is to establish a plan for SEO in Palembang Polytechnic of Tourism (http://poltekpar-palembang.ac.id/) and to improve online visibility and ranking position in search engines (Google). It aims to bring in more international traffic and students to visit the website. SEO is a digital marketing technique to increase web accessibility. In the globalization world, people use search engines, such as Google, to know or find out more about various topics quickly and visually. Through a bibliographic review and qualitative analysis, the research focuses on the understanding of what SEO is and its implementation for the Palembang Polytechnic of Tourism website. The results show that the most important thing in making SEO plans is to increase visibility and branding on search engines (Google). SEO is done by developing website content and setting keywords as backlinks.
Magnetic Resonant Coupling Wireless Power Transfer for Lightweight Batteryless UAVs

This paper presents a concrete solution for flying a lightweight drone completely without batteries. The drone can float upon a transmitting coil indefinitely which prevents from battery lifetime limitations, by exploiting a magnetic resonant coupling for wireless power transfer. We used a DC-DC converter to match the load impedance at the WPT. Finally, the overall achieved maximum efficiency is 40% measured over different distances.
Self-Identification Deep Learning ARIMA

The aspiration to predict the future values as close to the actual values as possible leads to the invention of time series models, the autoregressive integrated moving average (ARIMA) model which requires appropriate parameters of model identification, the ARIMA order, prior to fit coefficients of the models using the Box-Jenkins method. Statisticians for a decade identified the order via the sample autocorrelation function (ACF) and the sample partial autocorrelation function (PACF) which were very challenging for a human eye. To circumvent this issue, the recent model identification development uses a likelihood based-method that automatically generates orders and fits coefficients by varying the ARIMA order and pick the best one having the smallest Akaike information criterion (AIC) or Bayesian information criterion (BIC). The acquired ARIMA model may fail residual diagnostics. Consequently, this paper proposes the convolution neural network model, called the self-identification deep learning (SID) model, to automatically identify the ARIMA order via sample ACF/PACF. Accordingly, randomly simulated time series data with stationary and invertibility properties are generated by ARIMA model. Next, the time series data are converted into ACF/PACF graphs in order to feed into the SID model. The derived ARIMA order will be passed to determine the best fit coefficients of the ARIMA model via the Box-Jenkin methods for forecasting future values. The complete algorithm is called the self-identification deep learning ARIMA (SIDA) algorithm. The performance of identifying the ARIMA order from the SID model outperforms the likelihood based-method and ResNET50 which accepts the time series data directly in terms of precision, recall and F1-scores. Moreover, the SIDA algorithm applying to the real world dataset shows a better performance over the likelihood-based method via the mean absolute percentage error, the symmetric mean absolute percentage error, the mean absolute error and the root mean square error.
DeepNar: Robust Time-based Sub-meter Indoor Localization using Deep Learning

We propose DeepNar, a deep learning-based indoor localization system that leverages WiFi signals time of flight (ToF) as environment features, to provide accurate and robust indoor localization. DeepNar leverages the fine-time measure¬ment (FTM) protocol in the recent IEEE 802.11-2016 standard to measure WiFi signal round trip time (RTT). Our system combines the advantages of fingerprinting and ranging-based techniques by providing a deep learning model along with a probabilistic framework that captures the complex relation between the propagation times of the WiFi signals heard by the mobile phone and its location. By leveraging the signals RTT, collected using commercial-off-the-shelf access points and mobile phones, DeepNar overcomes the different challenges of indoor environments such as the multipath interference, non-line-of-sight transmissions, signal attenuation, and interference. Moreover, DeepNar does not require clock synchronization between the transmitter and the receiver. Our system is composed of various components that handle outlier detection, avoids over-training, and accommodates heterogeneous devices. We implement and evaluate DeepNar over two testbeds. Our results show that DeepNar has a sub-meter localization accuracy with a median error less than 0.75m. This accuracy outperforms ranging-based multi-lateration technique by at least 182% and traditional signal strength (RSS) fingerprinting techniques by more than 119% and 33% in both testbeds considered.
Frequency Estimation Based On WLS-Constrained Adaptive Notch Filter

A constrained adaptive IIR notch filter (c-ANF) using weighted least square (WLS) algorithm (c-ANF-WLS) is introduced for frequency estimation of a single real tone embed in Gaussian noise. As compared with some previous techniques, the proposed algorithm exhibits better performance in terms of both convergence rate and steady state mean square error (MSE). Computer simulation results are provided to assert the claim.