Miracle-dz/UniFAR-FTUs huggingface dataset:
Discipline Variation In Information Retrieval Skills And Use Of Electronic Information Resources By Undergraduates In University Of Uyo, Akwa Ibom State, Nigeria

17 25.4 17 25.4 4 6.0 28 41.8 1 1.5 2.79 1.66 15 20.0 18 24.0 5 6.7 33 44.0 4 5.3 2.22 1.42 14 21.5 2 3.1 33 50.8 16 24.6 2.01 1.61 Overall Mean 18.59 16.31 13.84 • Key: Faculty Library (FL), Departmental Library (DL), ICT Centre on Campus (ICT) Outside Campus (OC) Results revealed that almost half of the undergraduates in Engineering 33(49.9%), Education 35(46.7%)) and none in Science access the internet from all locations which are: faculty library, departmental library, ICT centre on campus and outside campus. Few Respondents in Engineering 3(4.5%), Education 11 (14.7%)) and some in Science 33(40.9%) indicated to have used the Internet outside campus. It also found that CDROMs were used in Engineering 17 (25.4%), education 13 (17.3%) and none in Science from all locations. Results also showed that little above half of the respondents 33 (50.8%) in Science and Engineering 33(50.3%) as well as some respondents in Education 33 (40.0%) used electronic books and online abstracts in the ICT centre on campus (Table 4). Online databases were also found to be mostly used by the respondents in Engineering 29 (43.3%), Education 34(45.4%) and Science 29 (44.6%) in ICT centre. It was also revealed that respondents in Engineering 21 (31.3%), Education 26(34.7%) and Science 18 (27.7%) noted that they used OPAC in the Departmental
A Resonant Current-Mode Wireless Power and Data Receiver for Loosely Coupled Implantable Devices

This article proposes a current-mode (CM) receiver for a wireless power transfer (WPT) application that receives both power and data from the transceiver. The proposed CM receiver decreases the voltage stress applied to transistors to store a larger amount of power in its <italic>LC</italic> tank, and this charges the battery without any residual power. Accordingly, the receiver achieves the highest maximum receiver efficiency of 92.6% among the state-of-the-art CM receivers at an input power of 10.89 mW. The proposed CM receiver receives data along with the power by using energy-shift keying (ESK), which is the proposed data transfer method for the CM receiver. Due to ESK, the receiver achieves a maximum data rate of 100 kb/s while consuming negligible power for receiving the data. A prototype chip fabricated in a 180-nm CMOS process occupied an area of 0.43 mm <inline-formula> <tex-math notation="LaTeX">$\times $ </tex-math></inline-formula> 0.49 mm, and a receiver coil was implemented as a printed spiral coil with dimensions of 6 mm <inline-formula> <tex-math notation="LaTeX">$\times $ </tex-math></inline-formula> 6 mm.
Semisupervised Learning-Based SAR ATR via Self-Consistent Augmentation

In synthetic aperture radar (SAR) automatic target recognition, it is expensive and time-consuming to annotate the targets. Thus, training a network with a few labeled data and plenty of unlabeled data attracts attention of many researchers. In this article, we design a semisupervised learning framework including self-consistent augmentation rule, mixup-based mixture, and weighted loss, which allows a classification network to utilize unlabeled data during training and ultimately alleviates the demand of labeled data. The proposed self-consistent augmentation rule forces the samples before and after augmentation to share the same labels to utilize the unlabeled data, which can ensure the prominent effect of supervised learning part of the framework for training by balancing amounts of labeled and unlabeled samples in a minibatch, and makes the network achieve better performance. Then, a mixture method is introduced to mix the labeled, unlabeled, and augmented samples for the better involvement of label information in the mixed samples. By using cross-entropy loss for the mixed-labeled mixtures and mean-squared error loss for the mixed-unlabeled mixtures, the total loss is defined as the weighted sum of them. The experiments on the MSTAR data set and OpenSARShip data set show that the performance of the method is not only far better than the state of the art among current semisupervised-based classifiers but also near to the state of the art among the supervised learning-based networks.
Spray schedules for management of leaf webber Crocidolomia binotalis (zeller) in mustard

The efficacy of five insecticidal spray schedules against leaf webber, Crocidolomia binotalis (Zeller) in mustard was evaluated. The results revealed that schedule 3 consisting of thiamethoxam 25 WG @ 0.006 % at seedling stage, emamectin benzoate 5 WG @ 0.0025 % at pre-flowering stage, Nomuraea rileyi @ 2.5 kg/ha at 50% flowering stage and chlorpyriphos 16% + alphamethrin 1% EC @ 0.055 % (S3) at 50% pod formation stage were superior. The schedule S4 (flonicamid 50 WG + flubendiamide 480 SC + azadirachtin 1500 ppm + acephate 25 + fenvalerate 3 EC) proved next best. The maximum yield was obtained with this schedule 3. Schedule S2 (imidacloprid 17.8 SL + indoxacarb 14.5 SC + Lecanicillium lecanii @ 2.5 kg/ha and trizophos 35 + deltamethrin 1 EC) and S3 (thiamethoxam 25 + emamectin benzoate 5 WG + N. rileyi @ 2.5 kg/ha and chlorpyriphos 16 + alphamethrin 1 EC) could be suggested against mustard leaf webber.
The Effect of Work Culture on Visitor Satisfaction at Minangkabau Cultural Documentation and Information Center

The purpose of this study was to examine the effect of work culture on visitor satisfaction at Minangkabau Cultural Documentation and Information Center-Pusat Dokumentasi dan Informasi Kebudayaan Minangkabau (PDIKM) in Padang Panjang City. This study uses a quantitative approach. The study sample was the tourists visiting at PDIKM Padang Panjang City. The sample in this study consist of 376 respondents who were determined using the Slovin formula with an error rate of 5% and the sampling technique was done through accidental sampling. Data analysis techniques using simple regression analysis. The findings show that there is a significant influence between work culture on visitor satisfaction by 13.8%. The results of the study concluded that work culture influences visitor satisfaction at PDIKM Padang Panjang City. Keywords—Work Culture, Visitor
Cold-induced growth arrest in gilthead sea bream Sparus aurata: metabolic reorganisation and recovery

There are currently no standard diets or practices to counteract or ameliorate the growth arrest and extremely poor feed conversion rates (FCR) in gilthead sea bream Sparus aurata caused by low water temperatures. The present study analysed the effects of reducing dietary lipid content from 18 to 14% during a temperature fluctuation period. Temperature was gradually reduced from 22° to 14°C over a period of 5 d, and maintained at this low temperature for a further 45 d before gradual recovery over 7 d to 22°C under controlled conditions, avoiding other stressors often present in cage culture conditions. Decreasing dietary lipid content at an elevated temperature (22°C) did not significantly affect the standard growth rate or FCRs of the sea bream, indicating a possibility to reduce the dietary energy during the months before winter. Although cold-induced growth arrest and metabolic depression were unavoidable, a well-formulated, lowlipid diet adequately met the low energy demands at low temperatures. Analysis of plasma metabolites and liver enzyme activities demonstrated a reorganisation of liver metabolism, mainly in fish on a low-lipid diet. Recovery from low temperatures was delayed, with a higher dietary lipid content required for optimal liver condition, and mineral supplementation to maintain osmoregulation and bone formation. Our results provide useful information for fish producers and researchers, suggesting that dietary lipid contents should be reduced to allow fish to better cope with low temperatures, and that improved diets with higher lipid content are required for recovery from low temperatures.
With random amplified polymorphic DNA technique to study antibiotic biosynthesis gene cloning and expression

Antitiotic C-1027 has very hight biological activity for tumors. It is composed of an enediyne chromophore and an apoprotein. In this paper, we first report that the RAPD technique has been used to study antibiotic biosynthesis gene cloning and expression. With 7 kinds of primers, the total DNA of t block mutants and original producer has been amplified respectively. After amplify the DNA of AF67 block mutant and original producer with primer GA2, the results of agarose gel electrophoresis showed that there is F2 DNA fragment in original producer but not in AF67. With plasmid pIJ459 as vector to clone F2 DNA fragment into Streptomyces lividans TK54, the recombinant strain No155 harboring plasmid pIF2 has been selected. After cosynthesis of the recombinant strain No155 and the block mutant AF67, the fermentation product recover the biological activity of antibacterial and antitumor. The analysis results of SDS-PAGE and UV spectrum comfirm that the product is C-1027. The F2 DNA fragment contains the coding gene involved in C-1027 biosynthesis pathway.
ANY OLYMPIC JUMP THAT WOMEN CAN DO, MEN CAN DO NEARLY 20% BETTER

Men clearly outperform women in events that depend on moving the body’s mass through space. However, the between-sex differences may vary with event specific mechanical demands. Existing observations suggest between-sex differences are relatively greater for jumping than running events. We tested this sytematically by comparing the top 50 performances for men and women in Olympic running (n=9) and three jumping (n=3) events over a recent 15-year period. We found that mean male–female difference across the three jumping events (17.8± 2.7%) was 1.5 times greater than the respective mean for the nine running events (11.2 ± 1.4%) examined. We conclude that male–female differences are substantially greater for all-out jumping versus running events.
BREAST MILK EFFECTS ON CLINICAL SIGNS OF ACUTE GASTROENTERITIS IN INFANTS UP TO 6 MONTHS OF AGE

Acute gastroenteritis is one of the most common infections in childhood and it can be especially dangerous in the first 6 months of life with a higher risk of moderate and severe dehydration, especially in infants who are not exclusively breastfed. The aim of this study was to to evaluate the clinical pattern of acute gastroenteritis in infants up to 6 months of age, to correlate the severity of the disease related to the type of nutrition and to determine the possible microbiological causes of the acute gastroenteritis in this age group. A total of 23 infants with acute gastroenteritis divided into 2 groups based on the feeding patterns (type of milk) were included in the study. Investigated indicators were severity of symptoms, dehydration degree and the need for parenteral rehydration. It was identified a statistically significant association between group affiliation and severity of symptoms depending on the feeding type between first and second group. The most common cause of acute gastroenteritis in infants up to 6 months of age was Rotavirus. Our study has shown that exclusive breastfeeding reduces the risk of Rotavirus infection especially in the first 6 months of life OR= 0.0758, 95% CI (0.0071-0.8074). Breast milk has an effect on the severity of the clinical picture of acute gastroenteritis by reducing the number and severity of diarrheal episodes, the vomiting frequency, fever frequency and the risk of moderate and severe dehydration. that exclusive breastfeeding effective in preventing Rotavirus infection by the risk of Rotavirus infection in children, in the first 6 months of life. Some have shown that Rotavirus is a more common cause of acute gastroenteritis in infants than Adenovirus 2001 Carraturo 2008). These results support our findings that the most common cause of acute gastroenteritis in infants was Rotavirus . In this study, clinical signs and symptoms 24 hours before hospital admission were evaluated and clinical condition during treatment was assessed, as well as the need for parenteral rehydration, and the length of hospitalization. A statistically significant difference (p<0.05.) for the average number of vomiting before admission was registered between the the two groups with less frequent vomiting in exclusively breastfed infants in the first group. Regarding the number of liquid stool 24 hours before admission, high statistically significant difference was registered between the first and second group. Sherif et al., 2015 did not prove statistical significance for the degree of dehydration between groups, but in our study all infants from the first group who were exclusively breastfeed had a mild degree of dehydration while in the second group only 25% of infants had a mild degree of dehydration, the rest had a moderate and severe degree of dehydration. Similar results were obtained in the study of Fuchs et al., 1996, which found that infants study performed
Schisandra chinensis polysaccharides attenuate the growth of tuberculosis bacilli in rats via immunity enhancement

Purpose: To evaluate the effect of Schisandrachinensis polysaccharides (SCPP11) on the growth of tuberculosis (TB) bacilli in a rat model.Methods: Tuberculosis (TB) was induced by administration of colonies of tubercle bacilli via the inhalation route. SCPP11 was administered at separate doses of 25, 50 and 100 mg/kg to different rat groups, p.o. , for 4 weeks. Untreated rats served as TB control. At the end of treatment, assessments were made on the effect of SCPP11 on colony forming unit (CFU), cytokine levels, and population of immune cells present in lung tissue homogenates of the TB-infected rats.Results: The CFU of TB bacilli was significantly reduced in the lung tissues of SCPP11-treated group, when compared to untreated TB control group. Moreover, SCPP11 attenuated lung tissue levels of inflammatory cytokines, and significantly enhanced immunity, relative to the TB control group.Conclusion: These results indicate that SCPP11 ameliorates TB by suppressing the growth of tuberculosis bacilli.Keywords: Schisandra chinensis, Polysaccharides, Immune cells, Tuberculosis bacilli, Cytokines
Detecting Phase-Resolved Magnetization Dynamics by Magneto-Optic Effects at 1550 nm Wavelength

We demonstrate the detection of phase-resolved magnetization dynamics with combinatorial magneto-optic Kerr and Faraday effects. The method uses a continuous-wave laser that is amplitude-modulated at the spin dynamic frequencies and thus allows for coherent tracking of the spin dynamics, akin a “lock-in”-type measurement. In particular, our method, using a single 1550 nm wavelength, probes simultaneously the ferromagnetic (FM) resonance of Y3Fe5O12 (YIG) and Permalloy (Py = Ni80Fe20) in a YIG-Py heterostructure. The fiber-based magneto-optic components also have the advantage of being made into a compact, tabletop or even portable system with yet robust measurement performances. We believe that our method will be found useful in studying hybrid quantum magnonic systems and/or investigating phase-resolved spin dynamics in nanomagnet structures involving both FM insulators and metals.
In vitro evaluation of Syzygium aromaticum L. ethanol extract as biocontrol agent against postharvest tomato and potato diseases

E thanolic extract of dried flower bud of Syzygium aromaticum L. (clove) was investigated to evaluate its antifungal activity against local fungal isolates causing postharvest infections form potato and tomato. Four fungal isolates; Geotrichum candidum, Alternaria alternata, Fusarium oxysporum and Mucor hiemalis were identified. All fungal isolates were found to be inhibited by the extract; whereas the smallest inhibition zone) of S. aromaticum extract was 2.5% for M. hiemalis, A. alternata, G. candidum and 12.5% for F. oxysporum. Quantitative assessment of phytochemical compounds in clove plant revealed the presence of phenolic acids (20.80%); flavonoids (26.81%); tannins (4.90%), saponins (2.60%), alkaloids (1.60%), total protein (17.83%), total carbohydrate (2.23%) and total oil (0.90%). Biochemical profile was revealed by GC/MS which detect 18 different chemical compounds. The major compounds were eugenol (17.27%), trans-caryophyllene (0.50%), humulene (3.33%), anthracenedione (3.35%), cedran-diol (0.61%), citroflex A (5.45%) and lucenin 2 (8.25%). TLC technique and different solvent systems were employed to select the proper one based on its capacity to isolate the maximum number of fluorescent spots in crude extract.Chloroform-acetone-butanol (CAB) 85:15:20 could efficiently separate three bands (A, B and C). Each detected band was individually screened for its antifungal activity against the isolated fungi. Only band C showed a significant antifungal activity. Mass spectroscopy (MS) was used to investigate characteristics, purity as well as expectation of both chemical formula and molecular weight of the isolated compounds; which finally proved that glucoside β-sitosterol was the main compound represented in fraction -C.
Machine Learning-Based Recommender Systems to Achieve Self-Coordination Between SON Functions

The deployment, operation and maintenance of complex cellular networks are managed autonomously by multiple concurrently executing Self-Organizing Network (SON) functions with dedicated objectives, that can often negatively impact the functioning of each other. It is essential to avoid the blinkered view to their individual targets and consider a holistic approach towards identifying the best possible coordination between them, in order to achieve desired overall network gains while ensuring stable and robust network operation. The designing of appropriate SON-coordination mechanisms is quite challenging as it requires comprehensive modelling of all the complementing and conflicting interactions among them. This article discusses the application of Machine Learning based online Recommender Systems to model the dynamics between SON functions. To evaluate its applicability, in this work, the focus is to jointly implement two intertwined SON functions - Inter Cell Interference Coordination (ICIC) and Coverage and Capacity Optimization (CCO), to implicitly handle their conflicts and achieve the desired trade-off between coverage and capacity by optimizing a joint objective. The proposed cooperative learning and distributed configuration enforcement based ICIC-CCO coordinated SON solution has been evaluated on a system-level LTE network simulator with varied traffic distributions. It has been observed that the outage situations in the network are significantly reduced while still achieving high Signal-to-Interference Ratios (SIRs), even with reduced transmit power settings on several occasions.
Healthcare professionals’ knowledge of the doses and risks for radiological investigations performed during pregnancy

Pregnant women should receive appropriate care during radiation examination which requires increased awareness of the effect of radiation and its associated risks. The aim of the study was to assess awareness of radiation risks on pregnant women during radiological examination among healthcare professionals and women who are pregnant or of childbearing age. A total of 225 individuals from different professional groups (nurses, medical radiographers, radiologists) and a total of 75 women who were pregnant or in childbearing age responded to a questionnaire-based cross-sectional study. The study was conducted in Riyadh and Al-Kharj hospitals in Saudi Arabia. Data were analyzed by T-test and ANOVAs-test to compare the level of knowledge among participants; the level of significance was set at p ≤ 0.05. The results showed that the healthcare workers who had attended training programs had an increased level of knowledge regarding radiation effects among pregnant women as compared to those who had not attended training programs (p < 0.05). The study showed a non-significant difference in awareness level for healthcare professionals regarding their job experience (p > 0.05). There was a lack of nurses’ awareness regarding X-ray or radiation dosage and its effect on pregnant women and fetuses. On-going training and education regarding radiation protection is recommended.
Performance Modeling of Serverless Computing Platforms

Analytical performance models have been leveraged extensively to analyze and improve the performance and cost of various cloud computing services. However, in the case of serverless computing, which is projected to be the dominant form of cloud computing in the future, we have not seen analytical performance models to help with the analysis and optimization of such platforms. In this work, we propose an analytical performance model that captures the unique details of serverless computing platforms. The model can be leveraged to improve the quality of service and resource utilization and reduce the operational cost of serverless platforms. Also, the proposed performance model provides a framework that enables serverless platforms to become workload-aware and operate differently for different workloads to provide a better trade-off between the cost and performance depending on the user's preferences. The current serverless offerings require the user to have extensive knowledge of the internals of the platform to perform efficient deployments. Using the proposed analytical model, the provider can simplify the deployment process by calculating the performance metrics for users even before physical deployments. We validate the applicability and accuracy of the proposed model by extensive experimentation on AWS Lambda. We show that the proposed model can calculate essential performance metrics such as average response time, probability of cold start, and the average number of function instances in the steady-state. Also, we show how the performance model can be used to tune the serverless platform for each workload, which will result in better performance or lower cost without scarifying the other. The presented model assumes no non-realistic restrictions, so that it offers a high degree of fidelity while maintaining tractability at large scale.
Radiometric Cross-Calibration of Large-View-Angle Satellite Sensors Using Global Searching to Reduce BRDF Influence

Satellite sensors with large view angles can provide wide-swath imaging for earth observations, which pose new challenges for cross-calibration due to bidirectional reflectance distribution function (BRDF). To address these challenges, we adopted global searching (GS) algorithms to “search” calibration coefficients with BRDF considered. The GS-based methods were implemented to calibrate two Chinese large-view-angle sensors: the Gaofen-1 first wide-field-of-view (WFV1) camera and Gaofen-4 panchromatic multispectral sensor (PMS) with Landsat-8/Operational Land Imager (OLI) as references. Validations were conducted by evaluating the top of atmosphere (TOA) radiance and surface reflectance using synchronous OLI data. The mean relative biases (MRBs) of the GS-derived TOA radiance for the WFV1 were smaller than 5.5% compared with the OLI-simulated TOA radiance, while those of using official coefficients were up to 13%. The performances of the GS method and traditional method using the Moderate Resolution Imaging Spectroradiometer (MODIS) BRDF products for BRDF correction are comparable. The GS-based scheme has the potential to correct BRDF during cross-calibration and thus free cross-calibration of large-view-angle sensors from BRDF models and products.