Miracle-dz/UniFAR-FTUs huggingface dataset:
Zooplankton diversity of three dam lakes in Turkey

Introduction Zooplanktons are a basic link in transformation of energy from producers to consumers and play a key role as efficient filter feeders on phytoplankton and as food source for other invertebrates, fishes and their larvae. Zooplanktonic organisms are bioindicators of water quality and pollution because they are strongly influenced by environmental changes and respond quickly to alternations in water quality (Sharma et al., 2010; Deksne et al., 2011). Some studies have conducted on the zooplankton of different Turkish dam lakes such as Kesikköprü (Yiğit, 1998), Cip (Saler and Şen, 2000), Aslantaş (Bozkurt, 2002), Kapulukaya (Kök, 2005), Ömerli (Altunyurt, 2006), Gelingüllü (Kaya and Altındağ, 2007), Çamlıgöze (Dirican and Musul, 2008), Sarıyar (Atıcı et al., 2008), Tahtaköprü (Ülgü, 2008), Kemer (Tuna, 2009), Sarımsaklı (Aydın and Ahıska, 2009), Asartepe (Buyurgan et al., 2010) Hasan Uğurlu, Suat Uğurlu (Bozkurt and Akın, 2012), Sürgü (İpek Alış and Saler, 2013), Kalecik (Bulut and Saler, 2013), Beyhan (Bulut and Saler, 2014), Uzunçayır (Saler et al., 2014), Hancağız (Saler and Alış, 2015) dam lakes. The present study aimed to identify the zooplankton species and determine their seasonal composition and diversity in Tercan, Kuzgun and Demirdöven Dam Lakes where no earlier relevant data is available.
Sentiment Analysis of Product using Machine Learning Technique: A Comparison among NB, SVM and MaxEnt

Eﬃcient sentiment analysis is of high demand in many application domains for accurate and predictive classiﬁcation. Despite the wide use and popularity of some methods, a better technique for identifying the polarity of a text data is hard to ﬁnd. Machine learning has recently attracted attention as an approach for sentiment analysis. Therefore this paper proposes a machine learning model for sentiment analysis and compares some popular machine learning approaches (Naive Bayes, Support Vector Machine and Maximum Entropy) in the context of sentiment classiﬁcation.
THE IMPACT OF SUPPLEMENTING LAMBS WITH ALGAE ON MEAT TRAITS AND OXIDATIVE STATUS

The current study examined the effect of supplementing lambs with algae. Forty lambs, three month old, were allocated to receive a control ration based on oats and lupins (n = 20) or the control ration supplemented with DHA-GoldTM algae (n = 20). These lambs came from dams previously fed a ration based on either silage (high in omega-3) or oats and cottonseed meal (OCSM: high in omega-6) at joining (dam nutrition, DN). The concentration of health claimable omega-3 fatty acids (EPA + DHA) was significantly higher in the LL of lambs fed algae (125 ± 6 mg/100 g meat) compared to those not fed algae (43 ± 6 mg/100 g meat) and this effect was mediated by DN. Supplementing with algae high in DHA improves the health status of lamb meat.
Substituent effects on the stabilities of phenoxyl radicals and the acidities of phenoxyl radical cations

Oxidation potentials for 35 phenoxide ions and 3 naphthoxide ions have been combined with their pK HA values to estimated homolytic bond dissociation energies (BDEs) for the O-H bonds in phenols. Comparison with literature values shows that there is remarkably good agreement ΔBDE values determined by different methods. A good correlation of E ox (A − ) values for p-GC 6 H 4 O − phenoxide ions with σ + constants was observed over a range of greater than 40 kcal/mol. The acidities of 35 phenoxyl radical cations have been estimated from pK HA , E ox (A − ), and E ox (HA) values. A good correlation of E ox (HA) vs pK HA •+ was observed from m-GC 6 H 4 OH •+ radical cations, but the points for para donors were found to deviate from the line
Optical, Structural, and Antimicrobial Study of Gold nanoparticles Synthesized Using an Aqueous Extract of Mimusops elengi Raw Fruits

Gold nanoparticles (AuNPs) has been synthesized via a green route using an aqueous extract of Mimusops elengi raw fruits. The phytochemicals of the fruit help in stabilizing and capping of the nanoparticles. The formation and stability of the synthesized samples has been explained based on results that we obtain from UV-Visible spectroscopy, Fourier Transform Infra-Red (FTIR) spectroscopy, Dynamic Light Scattering (DLS), X-ray diffraction (XRD), scanning electron microscopy (SEM). Further, the positive results of the antimicrobial test add one more novelty to this work. The axiom of this work is the synthesis of stable AuNPs without using any external stabilizing or reducing agents. The formation of AuNPs with the help of photochemical present in Mimusops elengi is yet another important aspect of this work, which provides an eco-friendly method for the synthesis of AuNPs, which can be used extensively because of its non-hazardous condition.
Novel pH switchable gelatin based hydrogel for the controlled delivery of the anti cancer drug 5-fluorouracil

A gelatin based pH responsive composite hydrogel has been synthesised by grafting β-cyclodextrin (β-CD) to gelatin (Gel) and crosslinking with oxidised dextran (OX-Dex). This pH sensitive β-CD grafted Gel crosslinked with OX-Dex (β-CD-g-Gel/OX-Dex) or composite hydrogel (CHG) was used to investigate the colon delivery of 5-fluorouracil (5-FLU), an anti cancer drug. Fourier Transform Infrared Spectroscopy (FTIR) was used to confirm the grafting of β-CD, crosslinking and drug encapsulation. Powder X-ray diffraction (PXRD) reveals the amorphous character of CHG. Factors affecting the swelling were thoroughly studied. The grafting of β-CD enhanced the drug encapsulation capacity. Release data were fitted to empirical equations to understand the nature of the drug release profiles. The drug release profile followed the Higuchi model. Degradation and swelling of the hydrogel were found to contribute to the release of drug. Release profiles of 5-FLU were studied both at gastric pH (1.2) and at intestinal pH (7.4); the results showed that release is very low at pH 1.2 and high at pH 7.4. An in vitro cytotoxicity study was carried out on human colon cancer cells; the results showed that drug loaded β-CD-g-Gel/OX-Dex (CHG) showed enhanced cell inhibition compared to the drug alone. Results of the present investigation exemplify the potential of this novel pH switchable composite hydrogel for the controlled and targeted delivery of the anti cancer drug 5-FLU.
SELF-EFFICACY AND SELECTED DEMOGRAPHICS AS DETERMINANTS OF THE FAMILY BEHAVIOR ON EXAMINATION FOR PATIENTS WITH TUBERCULOSIS IN PAMEKASAN

Background: Tuberculosis is still a global health problem, particularly in Pamekasan. The family support to do examination for patient with tuberculosis is inadequate. There was a limited literature exploring the factors associated with the Family Behavior on Examination for Patients with Tuberculosis. Objective: This study aimed to analyze the correlation between self-efficacy, demographics and Family Behavior on Examination for Patients with Tuberculosis in Pamekasan. Methods: This research was conducted through cross-sectional design. A number of 379 respondents were invited from 8 clinics using a two-stage cluster sampling. This study was conducted from December 2016 to August 2017. The Bivariate analysis was tested using Chi- square while multivariate analysis was examined through logistic regression. Results: The most respondents who did not do examination for patient with Tuberculosis was > 50 years old and have low level of education. The bivariate analysis showed that only self-efficacy and education level have relationship with the behavior of self-examination among family of patients with Tuberculosis ( p -value < .05). The positive relationship indicates that the higher score of self-efficacy and education level the greater the effort of family to do examination for patient with Tuberculosis ( p -value < .05). Conclusion: The self-efficacy and level of education have significant influence toward the behavior of self-examination, therefore it can be reference for health practitioner and researcher to promote health behavior among family of patient with Tuberculosis.
ATTITUDE OF CUSTOMERS TOWARDS MADE IN NIGERIA TEXTILE INDUSTRY PRODUCTS

The primary duty of any nation is to seek secured sustained economic growth in other to be independent and must also put structures in place to ensure that importation is reduced, and local resources are effectively utilised in the production process. However, when citizens of a nation do not consume products produced in their country, it may lead to economic disaster. The globalization of world trade has led to local markets being flooded with many foreign made products; hence, widening the range of alternatives of consumers and as well increasing the competition in local markets while grave threats are posed to the marketability and sales of locally made products. Over the years, the Nigeria manufacturing sector which includes the textile industry as a subset has been afflicted with intermittent power supply, huge scale under-use of manufacturing capability and a poor and unhealthy customer patronage of locally produced products. Based on these premise, this study seeks to investigate why there are low patronage of made in Nigeria goods by its citizens. Two hundred and two (202) copies of questionnaire were distributed to respondents in Lagos. Data were analyzed using regression analysis for the hypothesis testing. The result reveals that quality of made in Nigeria products is a major factor for consumers at F = 143.078, β= 1.004 and p=. 000. In conclusion, it is recommended that Nigerian manufacturers must strive for excellence in quality of made in Nigeria product with respect to their textile products and brands in order to compete successfully against foreign competitors
A Composite of NTO and TNAZ-A DFT Treatment

NTO and TNAZ are two important explosive materials. In the present study, 1:1 molar composite of them are investigated within the constraints of density functional theory at the level of B3LYP/6-31++G(d,p). Certain quantum chemical, physicochemical and spectral properties of the composite have been harvested and compared with the respective values of its components. The formation of composite is exothermic and favorable. The components in the composite undergo certain type of interaction to affect properties of each other.
Detection and Classiﬁcation of Leaf Diseases in Maize Plant using Machine Learning

One of the major challenges faced by agricultural industry is the need for accurate and early detection of diseases that aﬀect crops. Diseases aﬀect the quality of crops and are capable of wiping out hectares of crop yield resulting in major loss to farmers. Current diagnostic techniques are time consuming and require the presence of highly skilled professionals to analyze the aﬀected plants, understand the symptoms, identify the disease and thereby suggest suitable remedies. The limitations of such techniques have enforced the need to look for alternative techniques which can detect and classify diseases at an early stage. Smart farming using suitable infrastructure can help in tackling and providing solutions to such problems. Data mining techniques, in the recent years have shown great promise in identifying and classifying patterns in similar areas of research. Current research aims to evaluate the performance of algorithms like XGBoost, Gradient Boost, Convolutional Neural Network(CNN) and its architectures like VGG16 and VGG19 coupled with data augmentation and transfer learning against traditional machine learning algorithms like Support Vector Machine(SVM), random forest and measure their eﬀectiveness in identifying and classifying maize plant diseases in terms of accuracy, precision, recall and training time. Training of the models were performed on an open source database containing close to 4000 images, encompassing four distinct classes, including healthy plant images. Out of the models developed, VGG19 architecture of CNN with transfer learning performed the best by achieving an overall accuracy of 95 percent, thereby satisfying the need of building an eﬀective and robust classiﬁcation model. Also, the performance of the models developed were found to improve with increase in amount of training data. The results obtained using transfer learning techniques on CNN architectures are highly promising and can be extended further to form a comprehensive plant disease identiﬁcation system that is capable of operating in real world environment. It can thus empower the agricultural community to diagnose diseases and initiate timely treatment without the intervention of trained experts.
Examining the Relationship between Academic Motivation and Social-Emotional Competency in Student-Athletes

The purpose of this correlational study was to examine the relationship between academic motivation and social-emotional competency of student-athletes in terms of gender, grade, and active participation in sports. The study group consisted of 200 volunteer student-athletes studying at a sports high school. The Academic Motivation Scale and the Delaware SocialEmotional Competency Scale were used. According to the results, there was a significant difference between the mean scores related to the sub-dimensions of “Intrinsic motivation (IM)-to accomplish, Extrinsic motivation (EM)-introjected regulation, and amotivation” according to the variable of doing active sports, and “self-awareness, social-awareness, and EM-identified regulation” according to gender variable by independent sample t-test. The one-way ANOVA analysis results showed that there was a significant difference between the mean scores of “self-awareness, social-awareness, and IM-to know” sub-dimensions according to the variable of grade. The Pearson Moments Multiplication Correlation test showed that there was a negative relationship between the sub-dimensions self-awareness and social-awareness via EM-identified regulation. This study showed a low negative correlation between academic motivation and social-emotional competency in student-athletes. Significant differences were found between various sub-dimensions according to the variables of gender, grade, and active participation in sports.
Modeling Metabolic Pathways as Bags (with Augmentation)

Given unprecedented amounts of genomic data, generated by NGS technologies, many computation tools to discern knowledge became widely popular. In response, we propose the CBT (correlated bag pathway) package comprising of three hierarchical mixture models: SOAP (sparse correlated bag pathway), SPREAT (distributed sparse correlated bag pathway), and CTM (correlated topic model) to characterize pathways. The generic idea is to incorporate pathway abundance to encode each genomic data as mixture distributions of bags, and each bag, in turn, is a mixture of pathways. Empirical studies with regard to the quality of discovered pre-selected bags and their correlations show promising results, hence, providing insights to adapting bags for the pathway prediction problem. Availability and implementation: The software package is published on github.com/cbt
The Effect of Tillage on Soil Moisture Conservation: A Review

Soil tillage systems can be able to influence soil compaction, water dynamics and crop yield. These processes can be expressed as changes of soil microbiological activity, soil respiration and sustainability of agriculture. The objective of this paper is to review the effects of tillage practices on soil moisture conservation. Tillage affects soil physical properties (bulk density and infiltration rate) and by measuring changes in soil water holding capacity in comparison with controlled plot. zero tillage with 20% residue retention was found to be suitable for soil health and achieving optimum yield . The MT and NT applications reduce mobilization of soil. Soil moisture was higher in NT and MT at the time of sowing and in the early stages of vegetation. Conservation tillage is commonly used in regions affected by water and wind erosion. Tillage treatments directly or indirectly influence soil hydraulic properties such as water infiltration, hydraulic conductivity, and water retention which determine the ability of the soil to capture and store water through precipitation or irrigation. Tillage have also its own positive and negative influence on residue incorporation conserved moisture in the soil and other soil properties like, soil PH, soil organisms, water holding capacity, soil structure and bulk density.
Employee Work Self-Estrangement and Employee Deviant Behaviour in the Hotel Industry within South-South, Nigeria

The purpose of this paper is to examine the relationship between employee work selfestrangement and deviant behaviour in the hotel industry within the South-South Region of Nigeria. A survey design was adopted using questionnaire as the research instrument which was distributed to 291 employees of three selected hotels in the South-South region of Nigeria. The data derived were analyzed through the use of Spearman’s Rank Order Correlation Coefficient Statistical as well as t-statistics to test the relationship between the variables of the study through the use of Statistical Package for Social Sciences within a significance level of 0.05. The findings showed that employee work self-estrangement has significant influence on deviant behaviour vis-à-vis production deviance, property deviance, political deviance and personal aggression as measures of deviant behaviour in the studied hotels. We therefore recommend that managers should encourage the free flow of communications between employees and managers in order to reduce boredom that might lead employee exhibiting deviant behaviour in the organization and managers should give more priorities to employee participation so as to reduce employee work self-estrangement and give necessary training to minimize the occurrence of deviant behaviours in the organization.
Balajti István AIR SURVEILLANCE RADAR ANTENNA PERFORMANCE MANAGEMENT AT HUNGAROCONTROL

This paper highlights the potential of the antenna performance check, based on the findings of the first and the second Radar Antenna Performance Check test results on four Air Traffic Control radars operated by HungaroControl. This knowledge is important, because antennas and their RADOMEs suffer from ageing, weather conditions, and lightning, scheduled/unscheduled maintenance activities and in some extreme cases, partial upgrades. The graceful degradation of the antenna performance can reach the limit where certain operational conditions may result in catastrophic failures in cases where Built-In Test Equipment (BITE) diagnostics do not cover the antenna. Consequently, the antenna performance has to be checked on a regular basis with special tools.
Polypropylene/polypropylene-grafted acrylic acid blends for multilayer films: Preparation and characterization

Polypropylene (PP) was functionalized with acrylic acid (AA) and styrene (st) as a comonomer by means of a radical-initiated melt-grafting reaction. FTIR, ESCA, and 1H-NMR spectroscopies were used to characterize the formation of polypropylene grafted with acrylic acid (PP-g-AA) and polypropylene grafted with acrylic acid and styrene (PP-g-AAst). The content of AA grafted onto PP was determined by using volumetric titration. Blends of PP with 0–100 wt % of PP-g-AA were prepared by melt mixing. The effect of the modified polymer content on the surfaces of cast films was characterized through FTIR–ATR and ESCA analysis as well as contact-angle, wetting-tension, and ink-adhesion measurements. The influence of the content of AA on the melting and crystallization temperature of PP was investigated by DSC. The contact angles of water on cast-film surfaces of PP/PP-g-AA blends decreases with increasing modified polymer content and decreasing PP-g-AA molecular weight. A notorious improvement on wetting tension was observed with increasing modified polymer content and decreasing PP-g-AA molecular weight. From FTIR–ATR and ESCA spectra of the blends, a calculation was made of the carbonyl index on the films' surfaces. It was found that the higher the carbonyl index, the lower the contact-angle value for the polypropylene blends. An increase in crystallization temperature of PP was observed when AA monomers were grafted into PP and with increasing PP-g-AA content in the blend, probably caused by a nucleation effect of AA monomers that would improve the crystallization capability of PP. © 2000 John Wiley & Sons, Inc. J Appl Polym Sci 79: 1497–1505, 2001
Fundamental of Electroencephalogram (EEG) Review for Brain-Computer Interface (BCI) System

---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Nowadays, medical monitoring systems have become more advanced as it becomes a hot topic to be researched on. One of the medical monitoring systems that we have seen much development is Brain Computer Interface (BCI) system which is based on Electroencephalogram (EEG). BCI system provides the communication channel without utilizing muscle or nerve. Hence, for the purpose of research in the future, an overall understanding about EEG and BCI system is needed. This paper is written to review the EEG based BCI system. It is divided into three main parts which are basic concept of EEG, wearable EEG devices and BCI system. The basic concepts of EEG are reviewed in term of basic brainwaves and EEG definition. The second part is reviewing the EEG devices that are used to extract EEG data and being commercialized. The last part is a review on the BCI system which made up mainly based on Signal Acquisition and Signal Processing. From this review paper, it will help for the understanding on each EEG based BCI system component for the purpose of BCI research.
Ethics by the Dose: Medical Treatment Metaphor for Ethics in Engineering

Developing effective ethics training for engineers is an important but challenging proposition. When engineering educators teach ethics, we hope we are doing so in ways that will have powerful effects for our students: not just familiarizing them with tools they can use to navigate workplace legal structures, but also changing how they perceive engineering as a field for ethical action. In this paper, we consider the degree to which ethics are integrated into engineering courses. To this end, we examine the popular use of the medical metaphor of “dosage” in relation to ethics in the engineering classroom. We identify this usage pattern and use thematic analysis to consider its implications in engineering education literature. Taking medical metaphors seriously can sensitize us to certain troubles related to the limited integration of ethics into engineering classrooms. This has implications for projects related to education research and engineering education reform. Focusing on what we expect ethics education to do can help us to undertake, evaluate, and communicate about our work as educators, and to imagine new possibilities. Concluding, we reflect on the ethical “wellness” of a whole engineer–and, indeed, whole communities in which engineers live and work—to frame questions about what ethics education could mean if we approached it differently.
Building interfirm leadership: A relational identity perspective

While leadership has been recognized as an approach to facilitating network orchestration, little is known about the mechanism through which a hub firm enhances interfirm leadership. Grounded on the theory of social identity and network orchestration, we develop a framework of the enhancement of interfirm leadership, proposing that the tendency of building leadership rests on the hub firm’s ability to shape the partners’ relational identity. We identify three types of role-adoption that indicate seven actions a hub firm might take to establish such an identity. We suggest that the mechanism through which leadership emerges is contingent on relationship duration, dependence asymmetry, and competition intensity.