Miracle-dz/UniFAR-FTUs huggingface dataset:
DNA barcode of Belodontichthys dinema from Indragiri and Tapung Rivers, Indonesia

Belodontichthys dinema with the local name of sengarat fish, is one of freshwater fish in Riau Province of Indonesia. B. dinema distributed in some rivers of Riau Province were Indragiri and Tapung rivers. This study reports analysis of DNA barcode of B. dinema using cytochrome c oxidase subunit I (COI) gene. The muscle of B. dinema fish using for DNA extraction. In this study had been obtained 652 bp of COI gene from Polymerase Chain Reaction (PCR) product. The Basic Local Alignment Search Tool (BLAST) analysis based on COI gene sequences shows that B. dinema from the Indragiri and Tapung rivers has 100% similarity with B. dinema from the existing database in GenBank. There are 14 marker nucleotides can characterize the species B. dinema molecularly. The value of genetic distance between B. dinema from Indragiri and Tapung rivers with B. dinema from GenBank data is 0.00. The phylogenetic tree showed that B. dinema from Indragiri and Tapung rivers, formed one group with B. dinema from Genbank data with bootstrap value is 100%. These results confirmed that sengarat fish identified was B. dinema based on the COI gene as DNA barcode.
MOOC Development in Basic Natural Sciences as a Distance Learning Solution

The Covid-19 pandemic that occurred massively in Indonesia had an impact on distance / online learning that must be done to reduce physical interaction between lecturers and students. Distance learning that has been done is still one-way communication. Development of the Massive Open Online Course (MOOC) as a learning platform that can support distance learning. The purpose of this research is to develop MOOCs as support for distance learning, to determine the quality of the MOOC, and the level of MOOC satisfaction. The research method used is the ADDIE development model with phase analysis, design, development, implementation, dan evaluation. The results of the research at each stage are: analysis stage needs analysis and problem analysis on the need for distance learning solutions with active two-way communication. The design stage made a MOOC design with RPS, materials, videos, enrichment questions, and quizzes at every meeting. The development stage develops each menu stage in the MOOC from the expected competencies to the quiz. The implementation stage, validation of experts, and validation of small groups of students. The evaluation stage evaluates MOOCs both in language, layout, content, and user satisfaction. The conclusion of the study is that MOOC was developed with the stages of analysis, design, development, implementation, and evaluation (ADDIE). The MOOC quality from the validation results obtained an average of 80,8 in the good category. The results of the user satisfaction level of MOOC Basic Natural Sciences were 78% with a good category
Applying Government Schemes in Rural Sectors Prediction System for Evaluation of Data
Science Algorithm

The administration dispatches different aggressive projects attempting to make the nation more prosperous, yet what they bomb is in fruitful execution and coming to recipients. The fundamental explanation for this issue is the absence of mindfulness among rustic individuals. This paper is to give an answer for this uninformed circumstance. Through this framework the rustic understudies will be instructed such that they can become acquainted with about what are the different plans that are outfitted by the administration and what are the plans they are qualified for. On the off chance that the country understudies came to know and get mindful of the apparent multitude of legislative plans gave by the Government of India for the government assistance of the provincial understudies, at that point their life would venture into next level. At first this framework will investigate the accessible government plans in the instructive for the government assistance of country understudies. Next, the understudy's information ((i.e.) name, age, station, occupation, annualincome.etc) are accumulated. At that point; both the datasets are brought into the Anaconda Navigator. At that point, investigation and grouping dependent on networks (SC, ST, BC and MBC) of the understudies and the plans are performed. At that point utilizing the forecast calculations (Naïve Bayes, Random Forest and Support Vector Machine (SVM)) what are generally the plans the specific understudy is qualified for are anticipated. An investigation is made on the proficiency of the three calculations. The exactness of the three calculations is broke down and the effective calculation which creates the outcome with most elevated precision is at last used to play out the forecast of the plans that a specific understudy is qualified for. At long last, the anticipated plans anticipated utilizing the most elevated effective calculation among the three calculations will be gotten back to the understudies. Hence, through this undertaking the rustic understudies will come to think about different recipient plans gave by government and they can use those plans for the improvement of the country environmental factors
Multi-Mode Dual-Polarized Cavity Backed Patch Antenna Array for 5G Mobile Devices

: This paper proposes a dual-polarized cavity backed patch antenna for next generation phased arrays for mobile handsets. The antenna exhibits multi-band performance, allowing to cover the 5G bands n257 ( 26 . 5 − 29 . 5 GHz), n258 ( 24 . 25 − 27 . 5 GHz), n261 ( 27 . 5 − 28 . 35 GHz) and a portion of band n260 ( 37 − 40 GHz). Two orthogonal modes are excited in the SIW cavity and show similar impedance matching and symmetric radiation patterns. A parasitic element is introduced on top of the cavity and shifted off-center, to improve the port-to-port isolation and guide the main beam. A parametric study of the antenna dimensions is conducted to verify the multi-resonance operating mechanism. The design is validated by the measurements of the fabricated 4-elements array. The array scanning angle is from − 35 ◦ to 38 ◦ for V-pol and from − 29 ◦ to 31 ◦ for H-pol at 28 GHz, where the realized gain raises from 8 to 12 dBi.
Quantification of Sodium Accumulation in Arabidopsis thaliana Using Inductively Coupled Plasma Optical Emission Spectrometery (ICP-OES)

[Abstract] Salt stress is a major issue for plants growing in both natural and agricultural settings (Deinlein et al., 2014). For example, irrigation can lead to the build up of salts in the soil as the irrigation water evaporates, leading to salinization, inhibition of plant growth, reduced productivity and eventually to loss of agriculturally usable land. One key element in trying to understand how salt stress impacts plant growth and development, in defining plant salt sensing and response mechanisms and eventually in the breeding or engineering of plants resistant to this stress is monitoring their salt uptake and redistribution. Methods such as imaging Na-sensitive fluorescent probes (Kader and Lindberg, 2005) and use of Na-ion selective microelectrodes (Shabala et al., 2005) offer the potential to follow Na levels in the plant in a non-destructive manner but are technically demanding and not applicable to field, or even many laboratory, conditions. However, tissue sampling followed by inductively coupled plasma spectroscopy (ICP) represents a simple, quantitative assay to monitor total Na levels in plant samples. ICP analysis is also applicable to plants in any environment where samples can be harvested. The approach uses tissue digestion in acid solutions, followed by injection of the resulting sample into an inductively coupled plasma spectrometer and monitoring the characteristic emitted spectrum from Na. As Na is stable, no complex sample preservation is required. Care needs to be taken with possible Na contamination in standards and samples from the water used for sample preparation and from glassware but otherwise, the approach is simple and robust.
Ultra High Performance Concrete Preparation Technologies and Factors Affecting the Mechanical Properties: A Review

Ultra-High Performance Fibre Reinforced Concrete (UHPFRC) is a superior type of concrete. It has ultra-high strength, ductility and durability. Despite the large number of researches that have been performed to study it, no perfect approach has been determined yet to identify the proportion of materials involved in its composition, nor ideal curing methods after casting with the possibility of performing effectively. Also, there is no uniform technique for pouring concrete to ensure that fibres are spread properly. This paper focuses on the review of techniques carried out to choose the quality and quantity of materials used for UHPFRC with the analysis and comparison of the researchers’ findings to identify optimal proportions, pouring and treatment regimens to attain the best results of mechanical properties of UHPFRC. The optimum packing density resulting from high cement content, using silica fume, fine aggregate, low w/cm ratio and high dosage of HRWRA are the key factors to reach ultra-high strength. Incorporation of short steel fibres leads to improving ductility, tensile strength and enhance strain hardening of UHPFRC. Heat treatment or steam curing stimulates the reaction between SiO2 in cementitious materials and Ca(OH)2 produced on cement hydration which results in rising strength.
Astrocytic Microdomains Confine A “molecular Memory” Enabling Long-Term Information Storage for Memory Consolidation

Memory consolidation requires astrocytic microdomains for protein recycling; but whether this lays a mechanistic foundation for long-term information storage remains enigmatic. Here we demonstrate that persistent synaptic strengthening invited astrocytic microdomains to convert initially internalized (pro)-brain-derived neurotrophic factor (proBDNF) into active prodomain (BDNFpro) and mature BDNF (mBDNF) for synaptic re-use. While mBDNF activates TrkB, we uncovered a previously unsuspected function for the cleaved BDNFpro, which increases TrkB/SorCS2 receptor complex at post-synaptic sites. Astrocytic BDNFpro release reinforced TrkB phosphorylation to sustain long-term synaptic potentiation and to retain memory in the novel object recognition behavioral test. Thus, the switch from one inactive state to a multi-functional one of the proBDNF provides post-synaptic changes that survive the initial activation (molecular memory). This molecular asset confines local information storage in astrocytic microdomains to selectively support memory circuits.
The Value of Consistency: Portfolio Labeling Strategies and Impact on Winery Brand Equity

The reported research examines the impact of product portfolio labeling strategies on brand reputation and equity. A netnographic approach allowed to observe winery portfolio labeling approaches and create a typology of winery labeling strategies. Expert evaluation served to assess the dependent variable brand equity by deploying a regression analysis. For the observed wine industry, being part of the food industry, creating consistent and recognizable brands has a direct relevance for reducing (sustainability-related) food information overload and thereby building sustainable brand equity. The results uncover the relative importance of each of the six identified labeling strategies as well as their impact on reputation and brand equity creation. The results point to the need to establish a consistent, strategically founded product communication. Such an approach, with a positive effect on reputation building can serve to build sustainable brand equity. “Stuck in the middle”-type strategies apparently diminish winery brand equity exploitation. The findings contribute to the knowledge on food labels in product communication strategies and their impact on organizational brand equity, thereby having high relevance for the implementation of environmental certification initiatives in an organizational context. The article deploys a novel research approach in an under-researched area to provide new insights for further research as well as implications for practice.
Opportunistic behaviour in supply chain finance: a social media perspective on the ‘Noah event’

ABSTRACT Drawing upon a social media perspective, this study explores the phenomenon of opportunistic behaviour in supply chain finance (SCF). Based on research into the factors that drive opportunistic behaviour in the context of SCF and the associated effects, this study conceptualises and empirically examines a research model by leveraging social media data related to the ‘Noah event’. The data was collected from Sina Weibo, the biggest Chinese microblog platform. A text mining approach utilising Python programming and R technique was employed for data analysis. The results reveal interesting findings. Opportunistic behaviour had negative effects on all the SCF participants involved in the study. Information uncertainty was the factor that induced opportunistic behaviour, whereas information governance played a moderating role that could mitigate information uncertainty and, thus, opportunistic behaviour. To the best of the authors’ knowledge, this is the first research endeavour investigating opportunistic behaviour in SCF. The insights provided by the study are of significance for both academia and practitioners.
Exploring the Relationship between Emotional Labor and Organizational Commitment Levels of Teachers

Article History: Purpose: Teachers are members of a profession that requires high levels of emotional labor. Committed employees tend to put more effort for their organizations. If so, organizational commitment may be a potential facilitator for teachers to act in line with schools’ expectations about emotions. The present research aims to explore the predicting role of teachers’ commitments to their schools on their displaying emotional labor during interactions with their students. Received: 07 Jan. 2020 Received in revised form: 12 Jul. 2020 Accepted: 9 Nov. 2020 DOI: 10.14689/ejer.2021. 91.4
Conductivity of Ion Exchange Materials

Proton exchange membrane fuel cells (PEMFCs) and alkaline fuel cells (AFCs) have received much attention as two of the promising energy conversion systems which can be applied in many areas. In order to improve performance of the cells, the ionic conductivity of the ion exchange membranes (IEMs) have been studied by many research groups and a considerable number of IEMs and materials have been synthesized to show high conductivities in wide ranges of temperature and humidity. The measurement of ionic conductivity is crucially important in order to evaluate the performance of a newly synthesized material. Conventionally, the in-plane gas phase measurement has been used for thin-film organic membranes and the through-plane gas phase measurement has been used for inorganic-based membranes. However, the in-plane method measures the conductivity in a different direction from the operating condition of PEMFCs and AFCs. In order to overcome this problem, we applied the through-plane measurement for the thin-film membrane and compared the results with those of the conventional in-plane measurement. Similar approach was implemented for the liquid phase measurements. As a result, we found that the ionic conductivities in the membrane measured in the through-plane direction were significantly lower than those measured in the in-plane direction. Thus, we concluded that the through-plane measurement has some challenges to be solved and the through-plane measurement should be carried out more carefully than the in-plane measurement.
Fluorescent silver nanoparticle based highly sensitive immunoassay for early detection of HIV infection

For the first time, we have engineered streptavidin labeled fluorescent silver nanoparticles for their application in immunosensing of biomolecules which will significantly increase sensitivity without compromising the specificity. A computational perspective for understanding the efficiency of the conjugation process is provided as a proof of concept. The fluorescence based sandwich immunoassay was demonstrated to detect HIV-1 p24 antigen in clinical specimens with improved sensitivity and specificity. The detection range of the fluorescent silver nanoparticle-based immunoassay (FSNIA) was found to be between 10 and 1000 pg mL−1 in a linear dose dependent manner. False positives were not observed with plasma samples from healthy adults (HIV−ve), hepatitis B (HBV+ve) and hepatitis C (HCV+ve). Plasma samples that were HIV−ve showed no interference with detection of HIV-1 p24 antigen. This technology can be used in resource limited settings and easily adopted for the detection of other pathogen antigens.
Anatomical Studies of Genetic Variation Instabilities in Various Cancer 

Background: Genome instability is one of the significant markers of cancers. This features is one of the most fundamental mechanism regarding cancer cells evolution. This major mechanism has been found mostly in some of cancer types and in less extends in other types. Majority of this instability occur mostly in chromosome scale or satellites. Results: In this regards whole exome data has been downloaded from Array express (EMBL-EBI). We investigate the amount of instability of genetic variations such as SNP, MNP and other types in various cancers. We also investigates this change in genome, chromosome and gene scale point of view in various type of cancers. Our findings might enlighten some preservative mechanism in genome scale.Conclusion: Although genome instability on chromosomal level is well studied and has been proved, on micro scale genomic variation it might not be the case. The positive control and negative show right pattern, however on other cancers from different stages and grades the instability could not be confirm on micro scale instabilities.
Investigating The Syntactic Errors Faced By Omani Learners At The College Level: Proposing A Self-Learning Material

This study investigates the syntactic errors committed by Arab learners in a college in Oman. This research is a mixed-method design, which contains quantitative and qualitative procedures. Research and Development (R&D) methodology was applied to propose a new self-learning kit that might help in minimizing or solving these errors and switch the learner from a dependent learnerto become an autonomous learner. This methodology was adopted by Gall, Gall and Borg (2003) by following some steps starting with the need analysis step, followed by determining the learning objectives and proposing the new learning material. Then, it is followed by testing its validity and reliability and finally using ANOVA to test its effect on the students’ performance. The sample contained 70 previous final examinations in the need analysis process, 30 student in the validity process and 50 students in the last step of testing the students’ performance. The researcher chose a convenient sample technique.
An approach for suggestion mining based on deep learning techniques

An organization often uses forums and social media channels for getting feedback from costumers or users. The ratings of products on rating platforms are a useful feedback to make a product better. The feedback from a customer is in the form of a suggestion which appears in a rating text or is directly asked from the customer. Suggestion mining is a binary classification problem that labels sentences as Suggestion or Non-suggestion. The suggestion mining is similar to sentiment analysis which is associated with common linguistic properties and challenges irrespective of the domain and application. Most of the previous works of suggestion mining proposed rule based methods and a very few developed statistical classifiers by using manually identified features. Recently, several researchers paid attention on deep learning technique based solutions to suggestion mining where features are automatically learned. In this work, various deep learning techniques like RNN, LSTM, Attention based LSTM and GRU are used in the experimentation of suggestion mining. The experiment carried out on the dataset provided in SemEval 2019 suggestion mining competition. The Attention based LSTM achieved best accuracies for suggestion mining when compared with other deep learning techniques.
The Role of Cultural Awareness in the EFL Classroom

Dil ogrenimi ogrencilerin hem sinif ici hem de sinif disinda pratik yapmalari icin okuma, dinleme, yazma ve konusma olmak uzere dort beceri icerir. Sinif ici iletisim bireylerin gecmisleri ve ortak degerleriyle sinirlanmis olabilir, ancak ogrenciler sinif disina ciktiklarinda, pragmatik becerilerinin sosyal ve kulturel ozelliklerle butunlesmesi gerekmektedir. Bu calisma yabanci veya ikinci dil olarak Ingilizce ogrenimi siniflarinda kulturel farkindalik uzerine yapilmis nicel ve nitel arastirmalari sistematik acidan incelemeyi amaclamistir. Bu yuzden, arastirma yontemi olarak meta-sentez yontemi kullanilmistir. Bu amaci karsilamak uzere Ingilizce derslerinde kulturel ve kulturlerarasi farkindalikla ilgili 50 arastirma, belirlenmis dort kriterden sonra bu meta-senteze dahil edilmistir. Kulturel ve kulturlerarasi farkindalik arastirmalarinin analizinin sonucunda temeller ve edinimler olmak uzere iki ana tema ortaya cikmistir. Kulturel farkindaligin temelleri ders bilesenleri, etkilesim, dinamik ve kisisel baglanti olmak uzere dort koda sahiptir. Ayrica, kulturel farkindaligin edinimleri konusma yeterligi, bilissel yeterlik, kulturel yeterlik ve kuresel ilgi olmak uzere dort koda sahiptir.
Linear Scalable Routing Protocol for Wireless Sensor Network

Wireless Sensor Network (WSN) consisting of large number of low cost battery powered Sensor Nodes (SN’s) gaining attention of lot of researchers from past decade. Integration of SN’s with IoT devices results in large number of possible applications. Life of the network relies on the embedded battery & transmission of packets is major consumer of this limited power source. Lot of techniques exist in literature for effective utilization of this power source. This paper proposes a linear data communication scheme which can be scaled up/down as per the requirement of the application. Simulation results proves that scaling the network by increasing/decreasing nodes in same network area doesn’t impacts the lifetime of network, however if size of network is enhanced/shirked, correspondingly network life is also reduced/improved.