Miracle-dz/UniFAR-FTUs huggingface dataset:
Audit committee attributes, board attributes and market performance of listed deposit money banks in Nigeria

This paper aims to discover the association between various audit committee and board attributes and the market performance of listed deposit money banks in Nigeria. The study intends to determine the influence of audit committee size, gender diversity, expertise, board size and board shareholding on market performance (measured by Tobin Q). Panel data was gathered from twelve (12) banks listed on the Nigerian Stock Exchange from 2013 to 2017. The study used fixed and random regression analysis. The results concluded that the association between audit committee size, board size and Tobin Q was negatively significant. There was a positively significant impact of audit committee gender diversity and audit committee expertise on Tobin Q. The study showed a positive but insignificant influence of board shareholding on market performance. The results imply that weakness in governance structures might lead to lower market performance. This study recommends that firms ensure that appointment criteria prioritize knowledge and competence, and regulatory bodies are also encouraged to track the compliance of listed firms with corporate governance regulations. AcknowledgmentThe authors would like to acknowledge Covenant University for its financial support during the course of this research paper.
An analysis of micronutrient trace elements in children dependent on various modes of feedings

Micronutrient trace elements Zinc, Iron & Copper among 100 children's, dependent on various feeding methods, randomly selected from various parts of District Bannu, Khyber Pakhtunkhwa, Pakistan were determined by Atomic Absorption Spectrometer. Out of 100 children, 64 were male and 36 were female. The serum Zinc, Iron and Copper contents among male children's were 65.38 ±1.7 μg/dl, 64.69 ±2.2 μg/dl and 113.35 ±3.2 μg/dl and among female children were 59.09 ±2.4 μg/dl, 54.23 ±2.4 μg/dl and 123.23 ±5.2 μg/dl respectively, showing significant differences (p<0.05) among serum Zinc & Iron levels, while non-significant differences among Serum Copper level. Among 100 subjects, seven (07) were on mixed pattern, twenty eight (28) were bottled fed and sixty five (65) were mother / breast fed. BMI were 16.38 ±0.8, 15.66 ±0.5 and 14.11 ±0.4 in mixed, bottle fed & mother fed groups, showing significant difference from each other (p < 0.05). The serum Zinc, Iron and Copper levels in children dependent on mixed food were 56.33 ±3.8 μg/dl, 55.60 ±5.0 μg/dl and 81.61 ±8.04 μg/dl, on bottle feeding were 60.57 ±2.03 μg/dl, 58.86 ±3.3 μg/dl and 112.99 ±4.6 μg/dl, while on mother feed were 64.94 ±3.8 μg/dl, 62.39 ±2.2 μg/dl and 121.54 ±3.8 μg/dl respectively, showing significant (<0.05) differences among groups. It is concluded that the higher concentration of Zinc, Iron and Copper were found among children who were fed on mother milk as compared to those who were fed either on mixed food or on bottles milk. ABSTRACT ARTICLE HISTORY
Residual Network of Residual Network: A New Deep Learning Modality to Improve Human Activity Recognition by Using Smart Sensors Exposed to Unwanted Shocks

Introduction: Recently, smartphones have been vastly utilized in monitoring the daily activities of people to check their health. The main challenge in this procedure is to distinguish similar activities based on signals recorded by using sensors mounted on smartphones and smartwatches. Although deep learning approaches have better addressed the above challenge than alternative methods, their performance may be severely degraded, especially when the mounted sensors receive disturbed signals due to smartphones and smartwatches not being in a fixed position. Methods: In this article, a new deep learning structure is introduced to recognize challenging human activities by using smartphones and smartwatches, even when the recorded signals are noisy due to the sensors being unstable. In the proposed structure, the residual network of residual network (i.e. ROR) is engaged as a new concept inside the deep learning architecture, which provides greater stability against either disturbed or noisy signals. Results: The performance of the proposed method is evaluated on recorded signals from smartphones and smartwatches and compared with the state of art techniques containing deep learning and classic (non-deep) schemes. The obtained results show that the proposed method may improve the recognition parameters at least 1.79 percent against deep alternatives in distinguishing challenging activities (i.e. downstairs and upstairs). These superiorities reach at least 32.86 percent for classic methods, which are applied on the same data. Conclusion: The effectiveness of the architecture in recognizing either challenging or non-challenging activities in the presence of unwanted cell phone shocks demonstrates its potential to be used as a mobile application for human activity recognition.
Factors Affecting The Stress Level Among The Asian Sea-Farers

Seafarer's job is mostly long durational, contact base, and tiring in nature that is correlated with their stress. We are exploring the level of stress among the Asian sea-farers with the associated personal and professional factors in the COVID-19 pandemic using an online-based crosssectional survey (n=95). The 5-Likert scale used in the stress scale and a combination of all the stressors construct the stress score where simple linear regression analysis and Pearson correlation have applied. Most of the sea-farers are young aged (46.3%), married (58.9%), and ranked as deck officer (55.8%). Only 28.4% of seafarers have more than ten years of experience. Stress level among them is comparatively high (μ, SD; 75.13, 16.192) and pertains among 77% seamen. We also found that the age of the seafarers is positively correlated with the sea-going experience and stress score while negatively related to the port call frequency and extension of the contract. We also found a statistically negative correlation of sea-going experiences and extension of the contract. Regression analysis explains stress level 20.1% through the effect of pandemic and sea-farers age at p<0.05. Therefore, more concentration on the sea-farers stress has suggested during critical conditions like pandemics
Merozoites of Theileria Orientalis Buffeli Reduce Parasitosis Following Challenge by Ticks Infested with T.Orientalis Ikeda

Background: An investigation aimed to confirm whether immunisation with the “benign” buffeli genotype of Theileria orientalis could reduce the parasitosis of the virulent ikeda genotype. Methods: Calves were inoculated intravenously or subcutaneously with bovine blood containing merozoites of T.orientalis buffeli. When recipients became positive, they and control animals were challenged with unfed nymphs of Haemaphysalis longicornis ticks infested as larvae with T.orientalis ikeda. Results: All calves became positive for the challenge within 12 days after tick application. In the immunised calves, the first wave of parasitosis with T.orientalis ikeda from 4-6 weeks was reduced significantly by >80% before the infestation declined into the carrier state by 9 weeks. Conclusions: The results confirm the field experience with theileriosis in endemic zones where the carrier state appears to prevent clinical disease despite repeated, seasonal tick infestations with virulent genotypes of the parasite. This method offers a means to reduce the severity of the first wave of theilerial parasitosis after tick challenge and recover associated production losses.
The expression pattern of anti-glycosaminoglycan in skin aging in human

Maryam Majid Eshaq and May F. Al-Habib B.Sc, Biology, College of science, Baghdad University, Iraq Ph.D, Histology and Embryology, College of Medicine, AL-Nahrain University, Iraq Corresponding author: Maryam Majid Eshaq, Email: merriamallos@gmail.com Abstract Aging of the skin is the most visible and obvious sign of living individual and it is complex phenomenon caused by harmful factors. Intrinsic aging (chronological aging) and extrinsic aging (photoaging) are major factors leading to revers effects on skin. Glycosaminoglycan (GAGs) are long blocks of negatively charged polysaccharides, they are one of the major components of the extracellular matrix. Anti-glycosaminoglycan expression shows a high expression reaction in group (A) with a mean value (0.427 pixel /μ2) the intensity of the reaction are represented in the stratum corneum, basement membrane and highly in the dermal matrix. The intensity of reaction is beginning to decrease gradually in group (B) with a mean value (0.254 pixel /μ2) there is a highly significant differences between (A)&(B) group with a p-value (0.0001), while in group(C) the intensity of the reaction is strikingly decrease with a mean value (0.191 pixel /μ2) there is a highly significant differences between the (A)&(C) groups represented with pvalue (0.0001) in comparison with the (B)group the p-value is (0.002). From this study it is concluded that the expression of antiglycosaminoglycan shows different manner according to age. Being higher in young age and diminishing expression of Anti-GAGs was recorded with aging. There is a statistically significant difference in the expression of anti-GAGs between different age groups.
Web buckling behavior of FRP composite box-beams: Governing parameters and their effect

The lightweight superstructure is beneficial for bridges in remote areas and emergency erection. In such weight-sensitive applications, the combination of fiber-reinforced polymer (FRP) as a material and box-beams as a structural system have enormous scope. This combination offers various advantages, but as a thin-walled structure, their designs are often governed by buckling criteria. FRP box-beams lose their stability either by flange or web buckling mode. In this paper, the web buckling behavior of simply supported FRP box-beam subjected to transverse load has been studied by modeling full box-beam to consider the effect of real state of stress (stress variation in length direction) and boundary conditions (rotational restraint at web-flange junction). A parametric study by varying the sectional geometry and fiber orientation is carried out by using ANSYS software. The accuracy of the FE models was ensured by verifying them against the available results provided in the literature. With the help of developed database the influential parameters (i.e., αs, βw, δw and γ) affecting the web bucklings are identified. Design trends have been developed which will be helpful to the designers in the preliminary stage. Finally, the importance of governing parameters and design trends are demonstrated through pedestrian bridge design.
The Effect Of Consumption Value On Purchase Intention Of Frozen Chicken At Supermarkets In Indonesia

Abstrack:The purpose of freezing chicken is to maintain nutrition, texture and longer freshness. Although fresh chicken is generally preferred by consumers than frozen chicken, changes in consumer lifestyles have affected the consumption pattern from fresh chicken to frozen chicken. This study was aimed to determine the effect of consumption value on purchase intention of frozen chicken. Deploying survey methods, a total of 132 frozen chicken consumers from 5 supermarkets were observed. Data were analyzed using multiple regression techniques using SPSS. There are five product values observed; namely functional, social, emotional, conditional and epistemic values. These five values are constructs, so they are translated into sub-variables in the form of statement items that can be assessed on a Likert scale. Validity and reliability tests were carried out and showed that all question items were valid, factor loading > 0.50. The reliability test produced a Cronbach Alpha value > 0.6 which means reliable. The analysis results showed that the five consumption values have a significant (p < 0.05) and positive effect on purchase intention. Therefore, the study concluded that frozen chicken has five consumption values that influence consumers as any other food product. Practically, this study implies frozen chicken producers and marketers toward further strengthen existing consumer perceptions, particularly on the five consumption values.
Split-Second Decisions During Online Information Search: Static vs. Dynamic Decision Thresholds for Making the First Click

Just like the physical entrance of a brick-and-mortar store, the landing page of an online retailer serves to draw people deeper into the website. As with most sequential behaviors, landing page decisions are likely to have important downstream consequences. Our objec-tive is to explore the internal decision processes and external characteristics of the shopping environment that determine how extensively shoppers search on the landing page. Using eye-tracking data collected during an incentive-compatible online shopping experiment, we build a sequential sampling model that captures how product information is acquired through “split-second” eye ﬁxation decisions. The model assumes that the shopper clicks on a ﬁx-ated link when the perceived value of that link crosses a decision threshold; otherwise, the shopper continues to search the landing page. First, we investigate whether this decision threshold varies over time, either in a “next-step” way that takes into account the potential gains of continuing search with one more ﬁxation, or in a “whole-search” way that heuristically accounts for how the value of search changes over time. We ﬁnd that whole-search dynamics better ﬁt the data compared to next-step dynamics and the static threshold. Second, through counterfactual simulations, we demonstrate that under the assumptions of our model, the length of search changes signiﬁcantly if products are ordered by individual shop-per preferences on the page (i.e., worst-ﬁrst or best-ﬁrst), and then verify these predictions empirically in a follow-up incentive-compatible experiment. Our work contributes to the emerging stream of research that treats eye ﬁxations as endogenous decisions and provides implications for how retailers should position products within the layout of an online store.
Phytochemical Analysis and in vitro Antibacterial Activities of Seagrass Enhalus acoroides against Staphylococcus aureus

Several studies of marine bioactive compounds have been carried out using seagrass. Enhalus acoroides is a type of seagrass that has bioactive compounds including alkaloids, flavonoids, tannins, steroids, and saponins that have potential as an antibacteria. The aim of study is to investigate the phytochemical compound contained in the crude extract of Enhalus acoroides and its antibacterial activities of Enhalus acoroides against Staphylococcus aureus. The seagrass was collected, washed, dried, grind and exposed to extraction by vacum rotary evaporator at temperature of 40°C and was analyzed for their phytoconstituents. Further, the crude extract was tested against pathogenic bacterial at different concentrations using disc diffusion method to determine the effect of bioactive compounds in E. acoroides to bacteria. In the present study, qualitative test of phytochemical from ethanol extract of Enhalus acoroides leaves contained phytochemical compound of alkaloids, flavonoids, tannins, steroids and saponins, while the extract of roots contained all of compounds except saponins. Based on research can be concluded, that Enhalus acoroides also has antibacterial activity against Staphylococcus aureus that showed by the presence of inhibition zone. The present finding suggests that the extract of seagrass Enhalus acoroides can be used an antibacterial agent from marine.
Towards Social Network Support for an Applied Gaming Ecosystem

The EU-based industry for non-leisure games (applied games) is an emerging business. As such it is still fragmented and needs to achieve critical mass to compete globally. Nevertheless its growth potential is widely recognized and even suggested to exceed the growth potential of the leisure games market. The European project Realizing an Applied Gaming Ecosystem (RAGE) is aiming at supporting this challenge. RAGE will help to seize these opportunities by making available an interoperable set of advanced technology assets, tuned to applied gaming, as well as proven practices of using asset-based applied games in various real-world contexts, and finally a centralized access to a wide range of applied gaming software modules, services and related document, media, and educational resources within an online community portal called the RAGE Ecosystem . Besides this, an integration between the RAGE Ecosystem and relevant social network interaction spaces that arranges and facilitates collaboration that underlie research and development (R&D) as well as market-oriented innovation and exploitation will be created in order to support community building as well as collaborative asset exploitation of the contents of the Ecosystem. In this paper we will outline a conceptual approach exploring methods to first of all integrate content management and community collaboration support portal technologies based on Digital Library (DL), Media Archive (MA), and Learning Management System (LMS ) infrastructures with social network support technologies. This will allow for a seamless integration of social network advantages within community portal operation. On the other hand it will support information, content, and knowledge sharing, as well as persistency of social interaction threads within Social Networking Sites (SNSs) that are connected to the RAGE Ecosystem. The paper reviews possible alternative architectural integration concepts as well as related authentication, access, and information integration challenges. In this way on the one hand a qualitative evaluation regarding an optimal technical integration approach is facilitated while on the other hand design approaches towards support features of resulting user interfaces are initiated.
Grading of Apples and Oranges by Image Processing

– The aim of this paper is to assess and determine the ripeness and quality of apples. To meet the goals, we propose and implement certain methodologies and algorithms that are based on digital fuzzy image processing, content predicated analysis, and statistical analysis. We found that the proposed algorithm is an efficient one as it is able to detect and sort the apples with more accuracy in grading compared to human expert sorting. The textures on apple skin are captured using digital camera. These images are filtered using image processing technique. All the information gathered is processed using MATLAB to determine the apple ripeness accuracy. In MATLAB, first we find the RGB component of a good apple and a ripen apple. Then, the image is converted to a grayscale image in order to obtain the histogram graph for analyzing the results. Besides, we also apply the same algorithm to orange fruit to verify the validity. The results presented in this paper corroborate that the automated grading system helps to minimize the processing time as well as the assessment error.
Estimation of Number of Simultaneously Supported Interactive VoIP and Video Sessions in LTE-Advanced

– LTE-Advanced has engaged several techniques in order to enhance system performance enhancements compared to LTE. In this paper we evaluate LTE-Advanced capacity in the means of a number of simultaneously supported interactive VoIP and video sessions. Some new features that enable the capacity enhancements that are provided in LTE-Advanced like spatial multiplexing and Carrier Aggregation are overviewed. In order to calculate the number of supported users, we determine the number of resource elements available for user data transmission in downlink and uplink, taking in account all the resource elements used for redundant information. The maximal number of simultaneously supported interactive VoIP and video sessions is calculated assuming 64-QAM modulation with ¾ code rate for all transmissions. Finally the number of parallel VoIP and video sessions is calculated and compared for different LTE-A scenarios.
Episome Produced in Hamster Cells That Amplify a Transfected CAD Gene at High Frequency: Functional

In a previous study (G. M. Wahl, B. Robert de Saint Vincent, and M. L. De Rose, Nature (London) 307:516-520, 1984), we used gene transfer of a CAD cosmid to demonstrate that gene position profoundly affects amplification frequency. One transformant, T5, amplified the donated CAD genes at a frequency at least 100-fold higher than did the other transformants analyzed. The CAD genes in T5 and two drug-resistant derivatives were chromosomally located. In this report, we show that a subclone of T5 gives rise to an extrachromosomal molecule (CAD episome) containing the donated CAD genes. Gel electrophoresis indicated that the CAD episome is approximately 250 to 300 kilobase pairs, and a variety of methods showed that it is a covalently closed circle. We show that the CAD episome replicates semiconservatively and approximately once per cell cycle. Since the CAD cosmid, which comprises most of the CAD episome, does not replicate autonomously when transfected into cells, our results indicate that either (i) the process which generated the episome resulted in a cellular origin of DNA replication being linked to the CAD sequences or (ii) specific rearrangements within the episome generated a functional origin. The implications of these results for mechanisms of gene amplification and the genesis of minute chromosomes are discussed.
Organizational Commitment: Three Research Models Proposal

Organizational commitment is a vital subject for all organizations that are trying to establish a sustainable business model. In all studies examining the effects of variables on organizational commitment, the research models are designed as all three dimensions of the organizational commitment are distinct variables that are not affecting each other. This research model is valid if the researcher is only trying to investigate the effects of the independent variables on the dimensions. However, if the organizational commitment is being investigated, then the research models should be different. This study tries to examine how the research models should be designed as per research purpose and demonstrates the difference between currently used and the proposed research models by using a sample dataset from a previous study.
N ON -A SYMPTOTIC PAC-B AYES B OUNDS ON G ENER - ALIZATION E RROR

Constructing non-vacuous PAC-Bayes bounds on generalization errors for unbounded risk functionals, especially in the non-asymptotic regime, is an active area of research. However, current state of the art results are applicable only in some very specialized cases. In this work, we give an integrability condition which exactly characterizes when any risk functional, for a given data set and model space, admits such bounds using the Levy-Khintchine theorem. Further, we derive a Bahadur-Rao type exact asymptotic bound, which is much sharper than a traditional Chernoff type inequality, especially in the under-sampled regime. These bounds give us the flexibility to construct data or model-dependent consistency promoting updates to a data-free prior, which provably improves the generalization performance.