Miracle-dz/UniFAR-FTUs huggingface dataset:
An improvement on the Soboyejo and Nigerian Meteorological Agency Wind Isopleths Maps

The paper reviewed the useful details of the Soboye jo Isopleths map for wind speeds and the Nigerian Meteorological Agency wind Documentati on maps produced for Nigeria. The research work discovered some discrepancies in the interpretations given to the data produced by the Agency. Efforts were made to correc t the wrong interpretations and a factor that varies from 7.86 to 11.67 was recommend ed to conveniently convert the daily mean produced by the Nigerian Meteorological Agency to the yearly mean produced by Soboyejo. Alternatively, the researchers decided to find a homogeneous mathematical relationship between, the Soboyejo’s and the Nigeri an Meteorological Agency results to produce results which correspond to 100 year mean r cur ent interval. Finally, the results of the investigation were delightfully strengthened by the geographic description of meteorological stations in Nigeria. This has provid ed very useful information for the computation of altitude factors for various localit ies in the country.
Intestinal Allergic Diarrhea Nasal IL-12p70 DNA Prevents and Treats

OVA-induced allergic diarrhea occurs as a consequence of over-expression of Th1 inhibitory IL-12p40 monomers and ho-modimers in the large intestine, establishing a dominant Th2-type environment. In this study, we demonstrate that intranasally administered murine IL-12p70 naked DNA expression plasmids resulted in the synthesis of corresponding cytokine in the large intestinal CD11c (cid:1) dendritic cells, leading to the inhibition of Ag-speciﬁc Th2-type response for the prevention of allergic diarrhea and the suppression of clinical symptoms including OVA-speciﬁc IgE Ab synthesis. The nasal IL-12p70 DNA treatment proved effective even after the establishment of allergic diarrhea. These results suggest that the mucosal administration of naked IL-12p70 DNA plasmid should be considered as a possible preventive and therapeutic treatment for Th2 cell-mediated food allergic diseases in the intestinal tract. The Journal of Immunology, 2005, 174: 7423–7432. morphological analysis of differential cell popula-tions including mononuclear cells, eosinophils, basophils, and neutrophils.
ECONOMETRIC ESTIMATION OF RICE IMPORT DEMAND IN NIGERIA (1970 AUTOREGRESSIVE DISTRIBUTED LAGS (ARDL) MODELLING APPROACH TO COINTEGRATION

This study examines the economic factors which infl uence the 2008. The quantity of rice imports was considered as a function of factors suc h as the amount of the lagged import, exchange rate, external reserves, structura l adjustment programme (SAP), price of rice. However, quantitative est Bound’s testing approach , indicate that Nigeria. The results further alludes that, the error correct ion mechan 16.9 % of the previous year’s disequilibrium from long government to reduce importation of rice in the face of increasing rice security problem, then Nigeria should improve local rice production and processing
Oracle: The Research Journal of Oracle: The Research Journal of the Association of Fraternity/ the Association of Fraternity/ Sorority Advisors Sorority Advisors Towards a Typology of Fraterniy/Sorority Programs: A Content Towards a Typology of Fraterniy/Sorority Programs: A Content Analysis Analysi

Fraternity/sorority standards have been represented as the answer to the Call for Values Congruence authored by the Franklin Squared Group (2003). The outcome of this document was a proliferation of various styles and models of standards programs utilized to establish community practices with the overarching goal of facilitating values-based fraternity and sorority campus communities. However, fraternity/sorority standards programs answering this call have established higher standards through different methods. This study solicited standards programs from institutions from across the United States. Data from 31 standards programs were collected, cataloged, and analyzed through qualitative inquiry with the use of a rubric developed to establish a typology. Five categories resulted from analysis: evaluation, minimum standards, accreditation, awards, and comprehensive. Implications of the study are included along with future directions for research.
Lower Quarter Y Balance Test: reliability and relation to anthropometric parameters

This study aimed to analyze the Lower Quarter Y Balance Test (Y-BT) reliability in prepubescent male soccer players, as well as the relation between this dynamic balance test performance and some anthropometric parameters. In a field testing, 104 prepubescent male soccer players (mean ± SD: age: 12.03 ± 1.81 year; Weight: 43.48 ± 10.39 kg; Stature: 154.14 ± 12.44 cm; Maturity offset: -2.40 ± 1.21) volunteered for this study. In this study, the Y-BT outcome measures were expresses as the composite scores for dominant and nondominant legs. The study was performed in two stages. In the first stage was investigated the reliability of the YBT, using a test-retest method. The Y-BT test and retest were performed, one week apart at the same time of day and on the same day of the week. The Intraclass Ccorrelation Coefficient (ICC(3.1)) was used for the analysis of relative reliability. Absolute reliability was analysed using 95% limits of agreement (LOA) and the standard error of measurement (SEM). In the second stage of the study, linear relations between Y-BT and age, stretch stature, body mass and sitting height, were investigated. Multiple linear regressions with backward method were used to test the relationship between the Y-BT and the explanatory variables. The reliability of the Y-BT was good, with an ICC(3.1) > 0.90, a SEM% < 5% and 95% LOA of -0.003 ± 1.32 % and -0.23± 1.37 % for dominant and non-dominant leg, respectively and talked about influence of anthropometric variables on Y-BT. Significant correlations were found between Y-BT, stature and leg length for both legs. Thus, Y-BT is a reliable tool for measuring dynamic balance, and its performance is anthropometric dependant in prepubescent soccer players.
Bottom-up evolution from disks to high-genus polymersomes

Polymersomes are vesicles formed by the self-assembly of amphiphilic copolymers in water, they are one of the most promising alternative of natural vesicles as they add a new dimension in the molecular engineering of aqueous compartments: the amphiphile molecular mass. Here we report the design of polymersomes using a bottom-up approach where the self-assembly of amphiphilic copolymers poly(2-(methacryloyloxy) ethyl phosphorylcholine)–poly(2-(diisopropylamino) ethyl methacrylate) (PMPC-PDPA) into membranes is tuned using pH and temperature. We study this process in detail using transmission electron microscopy (TEM), nuclear magnetic resonance (NMR) spectroscopy, dynamic light scattering (DLS), and stop-ﬂow absorbance disclosing the molecular and supramolecular anatomy of each structure observed. We report a clear evolution from disk micelles to vesicle to high-genus vesicles where each passage is controlled by pH switch or temperature. We show that the process can be rationalised adapting membrane physics theories disclosing important scaling principles that allow the estimation of the vesiculation minimal radius as well as chain entanglement and coupling. This allows us to propose a new approach to generate nanoscale vesicles with genus from 0 to 70 which have been very elusive and difﬁcult to control so far. NMR spectroscopy of PMPC-PDPA after synthesis was carried out on a Bruker AV600 spectrometer. 1 H-NMR was also used to monitor the intensity evolution of DPA and MPC protons peaks as function of temperature by using a Bruker 400 MHz instrument. In a typical experiment, block copolymer solutions in deuterated PBS using a the same protocol described above for all the PMPC-PDPA dispersions. NMR spectra were then recorded while the temperature was increased at 40 ◦ C with a rate of 0.2 and 1 ◦ min (cid:0) 1 .
African Mothers ’ Lived Experience Coping Methods with PPD

Postpartum depression affects majority of women following childbirth. Low-income mothers are likely to be affected more. This qualitative study investigated the lived experience of Nigerian women with PPD and their coping strategies with the depressive condition. Rich descriptions of experiences, of 24 women clinically diagnosed with PPD regarding the coping mechanism were collected through in-depth interviews. Three (3) significant themes were identified: Family and friends support, Human companionship, Spirituality. One overarching theme identified was: Social support system. The finding suggest that PPD ailment can respond to cultural values. Therefore, the implication is that cultural values such as family involvement should be considered in the management of PPD.
On route from error to learning : an exploratory study into the process of learning from error in teams

Through their composition and complexity organizations are inevitably faced with error. Recent developments in literature show that certain types of errors hold great potential for improving organisational performance and innovation through learning. Herein lies an essential role for teams as their ability to deal with error can have major influence on organisational learning. Nonetheless, limited research has been done regarding the actual process from error to learning on the team level in their daily work setting. To understand how the process of learning from error works one must gain understanding about the error handling strategies teams apply in dealing with error and how these strategies influence learning. Therefore, the current study explored the process of learning from error in teams by inquiry into the application of error handling strategies in a diverse set of 11 teams in both the public and the private sector by means of a questionnaire. Concurrently, in-depth interviews with single team members were done to identify how the error handling strategies are applied and how these strategies foster or hinder learning. The results indicated that the process of learning from error fostered by a combination error handling strategies. The process starts with identifying the error as such. Hereafter the error needs to be analysed and discussed for the team to be able alter and improve their actions. Moreover, the results suggest that the effectiveness of analysing and discussing could be fostered by first addressing the underlying emotions the errors evokes through de-escalating. The combination of these strategies form a process which allows teams to addressing the underlying variables of the error as well as the subsequent adaptation of their behaviour and actions which facilitates sustainable learning. When a team employed strategies such as anticipation and deliberate risk taking error were more likely to be identified. On the contrary, the commonly applied combination of the strategies identification and correcting was insufficient in fostering sustainable learning of the teams. The correction must be reinforced by analysing and discussing errors in order facilitate the process. Finally, four conditions were found the process of learning from error, namely: attitude of the team leader, time, accountability and team roles.
Analysis of16S^23S rRNAgene internal transcribed spacerofVibrio anguillarumandVibrio ordalii strains isolated from¢sh

The 16S-23S rRNA intergenic spacer (ITS) of Vibrio anguillarum and Vibrio ordalii were PCR amplified and cloned with TA vector pCR2.1. PCR amplification obtained five products ranging from 917 to 437 bp. Three clones were obtained and analysed from all fragments with the exception of 437 bp. These products were designated ITS-1, ITS-2, ITS-3 and ITS-4. ITS-1 contained genes for tRNA, tRNA, tRNA and tRNA, while ITS-2 was almost the same as the ITS-1 sequence, but without tRNA. ITS-3 contained tRNA and tRNA (GAT) and ITS-4, tRNA (GGC) or tRNA. The number of copies of the ribosomal operon (rrn) in V. ordalii chromosome ranged from at least six to seven and V. anguillarum had at least seven rrn. The sequences ITS-1, ITS-2 and ITS-3 showed a high similarity among the V. anguillarum and V. ordalii sequences (97.2% to 100%). Little variation was found for ITS-4, which does not seem to be sufficient to distinguish these two closely related species. Based on the findings, we confirm a close genetic relationship among V. anguillarum and V. ordalii and that they may be descended from a common ancestor in the Vibrionaceae linage.
Facial Feature Detection for In-Car Environment

—Acoustically, vehicles are extremely noisy environments and as a consequence audio-only in-car voice recognition systems perform very poorly. Seeing that the visual modality is immune to acoustic noise, using the visual lip information from the driver is seen as a viable strategy in circumventing this problem. However, implementing such an approach requires a system being able to accurately locate and track the driver’s face and facial features in real-time. In this paper we present such an approach using the Viola-Jones algorithm. Using this system, we present our results which show that using the Viola-Jones approach is a suitable method of locating and tracking the driver’s lips despite the visual variability of illumination and head pose.
Static Worst-Case Execution Time Analysis Tool Development for Embedded Systems Software

—Analyzing the worst-case execution time of embedded systems software is useful for assessing parameters like schedulability, performance (especially with regard to deadlines), etc. A commonly accepted approach to obtain these values is by way of static analysis that uses the software along with a model of the target processors architecture. This paper describes the required steps to construct a tool to assess the worst-case execution time of a given application with the help of an open-source framework. The ensuing evaluation provides a comparison of the results with other approaches. In addition, this paper can be used as guide to implement an instruction set architecture of a target processor in order to enable various static analyses with the aim to estimate the worst-case execution time.
A Bibliometric Analysis of Plant Disease Classification with A Bibliometric Analysis of Plant Disease Classification with Artificial Intelligence based on Scopus and WOS Artificial Intelligence based on Scopus and WOS

The maneuver of Artificial Intelligence (AI) techniques in the field of agriculture help in the classification of diseases. Early prediction of the disease benefits in taking relevant management steps. This is an important step towards controlling the disease growth that will yield good quality products to fulfill the global food demand. The main objective of this paper is to study the extent of research work done in this area of plant disease classification. The paper discusses the bibliometric analysis of plant disease classification with AI in Scopus and Web of Science core collection (WOS) database in analyzing the research by area, influential authors, institutions, countries, and funding agency. The 1125 research documents are extracted from 2010 to 9th Jan 2021 from both the database. Bibliometric analysis is the statistical analysis of the research published as articles, conference papers, and reviews, which helps in understanding the impact of publication in the research domain globally. The visualization analysis is done with open-source tools namely GPS Visualizer, Gephi, VOS viewer, ScienceScape, minivan, and wordcloud. The visualization aids in a quick and clear understanding of the different perspectives as mentioned above in a particular research domain search.
AN EXAMINATION OF THE IMPACT OF NET CAPITAL INFLOWS ON THE FINANCIAL SECTOR OF THE NIGERIAN ECONOMY

This study investigated the impact of net capital inflows on financial sector of the Nigerian economy between 1986 to 2015. Annual secondary time series data obtained from the database of World Bank Development Indicators (WBDI) were employed with a VAR econometric approach for the study. Empirical results emanating from this work revealed the presence of a unique long run relationship among the variables specified in the model. The adjustment parameter was significant and appropriately signed. This shows that economic growth and other key macroeconomic variables in Nigeria adjusts fairly, though sluggishly to financial sector development within the period referenced. Evidence from granger causality testing showed that foreign capital and credit (loanable funds) made available to the private sector by the financial sector contributes significantly to the growth of the Nigerian economy and vice-versa during the period under reference. The study thus concluded that net inflows have a significant impact on broad money supply (M2) to the financial sector in Nigeria. Notwithstanding the above laudable results, the Nigerian government is advised to take more seriously the responsibility of creating an enabling environment for effective, value–adding foreign direct investment, particularly in the banking sector, without losing the prerogative of sovereignty. What this mean is that government should step up efforts in attracting foreign direct investment into the sector by ensuring that investors confidence is protected. Government should evolve an investment friendly interest rate regime supportive of the growth objective of the government. A lower cost of borrowing would induce the desire for credit expansion thereby encouraging investment activities in the country.
A Distributed Denial of Service Attack with IP Information Prediction Model Based on Bayesian Belief Network

: DDoS attacks are attacks executed in stages with the sole aim of consciously restricting computing devices that receives from and provide services, resources to other devices on the network from exercising its responsibility as a client, service and resource provider by continuously engaging these computing devices with data sent simultaneously from advanced persistent threat (APT) devices. These attacks are so smartly designed that they are able to evade detection from most network instruction detection systems and they are capable of infiltrating complicated defenses. In this paper, we proposed and simulated a Bayesian Belief Network Model to predict DDoS Attacks with IP Information. The model was designed using Bayes Server and tested with data collected from cyber security repository. The model had a 99.47% prediction accuracy.
1 Keratin 8 and 18 loss in epithelial cancer cells increases collective cell migration and cisplatin sensitivity through claudin 1 up-regulation *

Background: Loss of keratins 8 and 18 (K8/18) is a hallmark of epithelial-mesenchymal transition (EMT) but its role in tumor progression is unclear. Results: Epithelial cancer cells depleted in K8/18 are more invasive and sensitive to cisplatin through the up-regulation of claudin1. Conclusion: K8/18 loss promotes collective cancer cell migration without inducing EMT. Significance: Cancer cell invasion can arise from K8/18 loss independently of EMT.
Associations between daily sitting time and the clustering of Lifestyle risk factors in men.

Background: Understanding the reciprocal role that multiple problematic behaviours play in men’s health is important for intervention delivery and the healthcare burden. Data regarding the concurrence of problematic health behaviours is currently limited but offers insights into risk profiles, and should now include total time spent sitting/day. Methods: 730 men aged ≥ 18 years engaged a programme of men’s health promotion delivered by 16 English Premier League Clubs and self reported data on a number of health and lifestyle behaviours. Results: Men at risk due to sitting display multiple lifestyle risk factors at the same time, 88.6% displayed at least 2 ancillary risk factors and were three times more likely to report ≥2 lifestyle risk factors (OR=3.13, 95% CI=1.52-6.42) than those at low risk due to sitting. Significant differences in the mean number of risk factors reported between those participants in the higher risk (2.43 ±0.90) and lower risk (2.13 ±0.96) sitting categories were found (p=0.015). Conclusions: Hard-to-reach men displayed multiple problematic concurrent behaviours, strongly linked to total sitting time.
A Combinational Method to Determining Identical Entities from Heterogeneous Knowledge Graphs

With the increasing demand for intelligent services, knowledge graph technologies have attracted much attention. Various application-specific knowledge bases have been developed in industry and academia. In particular, open knowledge bases play an important role for constructing a new knowledge base by serving as a reference data source. However, identifying the same entities among heterogeneous knowledge sources is not trivial. This study focuses on extracting and determining exact and precise entities, which is essential for merging and fusing various knowledge sources. To achieve this, several algorithms for extracting the same entities are proposed and then their performance is evaluated using real-world knowledge sources
BACKSTEPPING-BASED PID DESIGN FOR TITO DECENTRALIZED CONTROL

This paper addresses stability analysis and design issues in decentralized PID control of Two-Input Two-Output (TITO) plants. Decentralization in obtained via the introduction of an extra term in the tracking error. When this term is set to zero, the resulting controller is multivariable. To obtain a zero static error, an integrator is added to the plant model and is slid back to the controller equation at the end of the design. The combination of the integral action and the appropriate selection of the extra term yield a decentralized control law consisting of two independent PIDs.
What are the Critical Success Factors of Start-Ups in the Digital Transformation? MASTER DEGREE PROJECT THESIS WITHIN: Business Administration NUMBER OF CREDITS: 30 ECTS PROGRAMME OF STUDY: Strategic Entrepreneurship AUTHOR:

Background: Throughout the last years, we have been able to experience one of the most significant economic disruptions in history: The Digital Revolution. In a world that becomes more and more digitalized, companies must get an understanding of the fundamental rules of doing business in the digitalized business world in order to be able to innovate effectively and succeed with their business. Purpose: The purpose of this paper is to get an in-depth understanding on how the digitalization affected the dynamics of doing business, and what the necessary key components are according to the literature and interviewees to succeed as a business in the digital era. Method: Our contribution to the theory is achieved by conducting a multiple-case study in which eight case companies were selected and interviewed via semi-structured interviews. Subsequently, a grounded analysis was conducted to identify the subjective success factors of the interviewees which resulted in five major themes which contribute significantly to a firm’s success. Conclusion: We came to the conclusion that the main success factors for Start-Ups in the digital transformation are: 1. Lean Approach to Customer Orientation, 2. Entrepreneurial Goals & Culture, 3. Participation in the Entrepreneurial Ecosystem, 4. Integration & Utilization of Third-Party Technologies, and 5. Acquisition of Capital for Business Growth.