Miracle-dz/UniFAR-FTUs huggingface dataset:
Interfacial Colloidal Performance and Adhesive Strength of an Environmentally Friendly Cellulose-microcrystal-based Adhesive Substance

As one of the high-value and environmentally friendly chemical products, cellulose-based adhesive substance has been widely developed recently due to its extraordinary adhesion, interfacial flowability and high stability, along with low-impact side effects, outstanding degradability and biocompatibility. Also, microcrystalline-shaped cellulose has been fully exploited in functinalizing modification engineering. To eliminate the gap in application of cellulose-ether-based adhesion, we fabricated a new category of optimized cellulose sulfate product based on a system of analysis of key experimental factors: solvent pretreatment, degree of esterification, type and morphology of cellulose. Additionally, we focused on an all-round family of performance test of our product, containing characterization of structural and morphological features, test of water-based properties and inspection of adhesion behaviour. Within, the effect of adhesive strength in various solvents and under various conditions have been highlighted. The whole result shows a generally feasible synthetic approach and splendid performance as a novel green adhesive. The optimal design and synthesis of cellulose sulfate is verified to be eco-friendly, easy for optimization and greatly reproducible. Also, the product is shown to have tiptop viscosity, great adhesive strength, and colloidal potential like film forming due to the cross-linking network in the water-based environment. Finally, the product are demonstrated to be outstanding and widely applicable in mechanical strength. Specifically, it shows strong adhesion on different materials (metal, timber and glass) and tunability related to the kinds of additives. The addition of metallic salts and polymeric amine can evidently boost its adhesive strength. Overall, optimal analysis of cellulose sulfate adhesive on a microscale has forecasted great potential in low-carbon, fine-tunable, adhesive-related industry.
EFFECT OF SHADING ON THE WATER USE EFFICIENCY OF WINTER WHEAT (TRITICUM AESTIVUM L.) IN SEMI-ARID AND SEMI-HUMID REGIONS OF CHINA

Solar radiation has a substantial influence on winter wheat (Triticum aestivum L.) growth and water consumption. To elucidate the effect of solar radiation on the yield and water consumption of winter wheat, two-season pot experiments were conducted at Xi’an University of Technology in China from 2015 to 2017. Four shading treatments and a non-shaded control (CK) treatment were applied using black shading net, including 80% (L80), 60% (L60), 40% (L40), and 20% (L20) of the CK. With the increase in the shading degree, the time of winter wheat growing stage was prolonged, but the dry matter accumulation and water consumption decreased. The maximum of the water consumption and water consumption intensity for the winter wheat occurred at the filling stage, and the water-saving rate was higher than the shading rate from heading to the mature period under the L80 treatment. The water-use efficiency (WUE) under the L80 treatment and CK did not differ significantly. The harvest index for the L80 treatment was higher than that of the CK. To obtain high WUE, wheat must not receive less than 80% of solar radiation.
Implementation of Soft Switching Fly Back DC-DC Converter for Photo Voltaic System

This paper presents aImplementation of soft switching high step-up DC-DCconverter for ac photovoltaic module application”. Various type of DC-DC converter to boost the voltages there is more losses in performing the operation. The flyback converter is better choice for boost mode operation with high voltage. The proposed flyback converter to add the filter circuit in the output side to reduce the ripple content Among the filter π filter is superior and other filters are C and LC filters. The simulation results are produced the efficiency of 94% to 97%
A Mini-Review on the Phytochemistry and Pharmacology of the Plant Carica Papaya L. (Caricaceae)

Medicinal plant is an important element of indigenous medical systems all over the world. The ethno botany provides a rich resource for natural drug research and development. Carica papaya is used in Traditional Medicine since a long time. Our investigations started by a search of relevant literature on the plant species. Databases such as Science direct, PubMed, Google Scholar and Scopus were used successively to retrieve the articles on C. papaya. The chemical structures of isolates compounds from this plant were drawn using ChemBioDraw Ultra 12.0 software package. Finally, bibliographical references were made using bibliographical software "Mendeley". Results show that the plant C. papaya contains various secondary metabolites, minerals and vitamins. The plant species is reported to possess various pharmacological properties like anti-oxidant, antiinflammatory, antibacterial, anti-diabetic, anti-hyperlipidemic, larvicidal effects, etc. These pharmacological activities could due to the presence of various phytochemicals present in this plant species. The present review can therefore help inform future scientific research towards the development of novel drugs of relevance from C. papaya to combat various ailments including Sickle cell disease.
State-of-the-art Machine Learning Techniques: 360 Degree Overview

Machine learning is the investigation of getting PCs to act without being unequivocally changed. In the previous decade, machine learning has given us self-driving vehicles, pragmatic discourse acknowledgment, viable web search, and an unfathomably improved comprehension of the human genome. Machine learning is so unavoidable today that you most likely use it many times each day without knowing it. Numerous specialists likewise think it is the most ideal approach to machine learning ground towards human-level machine learning. Along with numerous different controls, machine learning strategies have been broadly utilized in bioinformatics. The challenges and cost of organic investigations have prompted the improvement of refined machine learning approaches for this application zone. This paper will state the different machine learning applications expected to run the machine learning ventures. The fundamental limitation is the primary methodologies and contextual investigations of utilizing machine learning for determining in various zones. In this paper, we try to provide an overview of ML techniques from all perspectives.
Estimate of combining ability and correlation for yield and its components in bread wheat (Triticum aestivum L.)

The experiment was performed at the Experimental Farm of Agronomy Department, Faculty of Agricultural, Al-Azhar University (Assiut Branch), Assiut, Egypt during the three successive seasons of 2016/2017,2017/2018 and 2018/2019. Seven parents of bread wheat (Triticum aestivum, L.) of a wide diversity for some agronomic traits were selected for the study, namely Sids1 Sids12, Sids13, Shndaweel1, Giza 171, Gemmeiza 11 and Sakha 93. The parents were crossed in 2016/2017 and 2017/2018 growing seasons in a half diallel fashion. The parent and crosses were evaluated in 2018/2019. Results indicated that mean squares of genotypes, general and specific combining abilities were significant (p≤0.01) for all traits, except number of kernels /spike. The ratio of GCA/SCA genetic components were less than unity indicating the greater amount of nonadditive gene action determining the performance of all traits. The crosses (Sids 12 × Sakha 93), (Giza 171 × Sakha 93), (Gemmeiza 11 × Sakha 93), (Shandaweel 1 × Sakha 93) and (Sids 12 × Giza 171) recorded greatest mean values for grain yield /plant. Sids1 and Giza171 were considered as the best general combiners for grain yield /plant. The best crosses showed significant (p≤0.01) SCA and heterotic effects for grain yield /plant were Sids 1 × Sids 13, Sids 12 × Shandaweel 1, Shandaweel 1 × Sakha 93, Giza 171 × Gemmeiza 11 and Giza 171 × Sakha 93 so, they could consider promising hybrids in breeding programs for crop improvement.
Surface Reversal Method Algorithm Development

The reversal method introduced by previous research focuses in finding reference datum of topography data of cylinder end surface but somehow ignores the existence of error. This problem leads to the purpose in introducing an understanding of how this method can be improvised. Thus, in this paper, a primitive approach was done by introducing the algorithm of the surface reversal method and simulating the reversal method on a selected surface to test how it works. This paper used MATLAB software for the majority of data processing. It started by preparing two simulated surfaces which were surface A and surface B (180o rotation). Then, it continued with the preparation of surface by converting the surface data into an image file type which made surface A and surface B aligned in the same direction before conducting surface correlation and finally finding the best match point between both surfaces. These basic steps play an important role to ensure the whole procedure for the next future studies is accurate. The peak result at position (540 x 409) from surface correlation was able to ease the next procedure by having a proper position before doing surface subtraction. The algorithm developed through MATLAB has successfully demonstrated the primary steps of surface reversal method.
On the Feature Selection of Microarray Data for Cancer Detection based on Random Forest Classifier

Cancer is a disease that can affect all organs of humans. Based on data from the World Health Organization (WHO) fact sheet in 2018, cancer deaths have reached 9.6 million. One known way to detect cancer that is with Microarray Technique, but the microarray data have large dimensions due to the number of features that are very much compared to the number of samples. Therefore, dimension reduction should be made to produce optimum accuracy. In this paper, we compare Minimum Redundancy Maximum Relevance (MRMR) and Least Absolute Shrinkage and Selection Operator (LASSO) to reduce the dimension of microarray data. Moreover, by using Random Forest (RF) Classifier, the performance of classification (cancer detection) is compared. Based on the simulation, it can be concluded that LASSO is better than MRMR because it can produce an evaluation of 100% in lung and ovarian cancer, 92% colon cancer, 93% prostate tumor, and 83% central nervous system.
Influence of environmental and morphological parameters on the microfauna community present in phytotelmata of a bromeliad in a fragment of Atlantic Forest, southern Brazil

Bromeliads are important epiphytes due to their abundance in the Neotropical region and morphological complexity. Their compact and imbricated leaf bases form water storage cisterns that promote important resources for colonization by several prokaryotic and eukaryotic microorganisms. Due to the lack of knowledge about these environments, the objective of the study was to investigate which physical-chemical and ecological parameters exert effects on the biological richness present in the cisterns of Vriesea platynema. The study was carried out in the Center for Research and Nature Conservation (CPCN – Pro-Mata), in the Serra Geral plateau, northeastern Rio Grande do Sul, Brazil. Active searches were performed for 10 trees with bromeliads fixed at two heights ( 2.5 m). For each bromeliad individual, the height in relation to the ground, the diameter and depth of the central cistern, water temperature, number of lateral cisterns and number of adjacent bromeliads, were measured. A total of 23 taxa were identified in the phytotelmata of V. platynema, with Philodina, Lambornella, Paramecium, Tetrahymena and Diptera larvae being the most representative groups. The richness of organisms in the phytotelmata presented a positive correlation with water temperature (p = 0.01), and the number of adjacent bromeliads (p = 0.05), indicating that physicochemical and ecological factors could influence the richness of bromeliad biota.
Towards Reducing the Impact of Localisation Errors on the Behaviour of a Swarm of Autonomous Underwater Vehicles

Localisation errors have a great impact on Autonomous Underwater Vehicles (AUVs) as search agents. Different approaches for solving the localisation problem can be used and combined together for greater accuracy in estimating AUVs’ locations. The effect of localisation errors on locating a target can be lightened by designing a search algorithm that avoids extensive use of exact lo-cation information. In this paper, two cooperative search algorithms are proposed and evaluated. In these algorithms, a high-level mechanism is employed for building a global view of the search space using minimum possible search information. These algorithms rely on low-level search algorithms with exploring roles. Particle Swarm Optimisation (PSO) and all-to-one Self-Organising Migrating Algorithm (SOMA) are selected as high-level mechanisms. The conducted experiments demonstrate that both algorithms show a robust behaviour within a range of localisation errors.
THE MALAY CULTURAL LANDSCAPE OF KUTAI HOUSES

The 'Malays cosmology' focuses on principles of belief, the world of thought, and culture. Concerning the Malay landscape, this research is a continuation of previous findings. This study aims to obtain a list of landscape elements and their arrangements in the Kutai house (KH) style compound, located in the Perak Tengah District. On the other hand, the study was conducted to determine each landscape design elements' function, layout, and composition. It exposes the identity of the Malay landscape and indirectly enhances the community's self-esteem. It is possible to broaden the Malay Garden concept (MGC) identity and image. The finding showed a significant resultthat illustrated this concept is inconsistent as it has been subject to several interpretations and makes it challenging to explore scientifically. © 2021MySE, FSPU, UiTM Perak, All rights reserved
Regression Analysis to Rank: Evidence from Profit Risk and Efficiency

The Malaysian monetary framework has assumed a significant job in different periods of financial advancement. Malaysian stock exchange, the Malaysian capital market, has been expanded essentially on the whole after a few monetary emergencies and added to financial advancement incredibly. The monetary organizations proceed as hazard administrators in the interest of speculators. The reserve funds are designated so that the savers get a sensible pace of return [1]. Investors are attracted by the stable and developing monetary market. It is settled in financial investors' brains that putting resources into the securities exchange will provide them palatable returns, and it will subsidize a significant upgrading for monetary advancement. Besides, the effectiveness of the business organization is increasingly significant for money related development. Numerous procedures are utilized by financial specialists to improve their arrival and limit the danger of their speculation [2]. In recent years, the scholastic study on the exhibition of monetary foundations has progressively centered on wilderness efficiency. If there should arise an occurrence of corporate procedure progress execution assessment and benchmark are widely rehearsed strategies [3]. On the off chance that there is no standard accessible for the assessment, at that point benchmarking can be outstandingly basic for the assessment [4]. For execution assessment, plentiful change happened in the previous two decades. By and by, execution assessment is basic addition factors. The corporate presentation assessment is progressively troublesome as an enormous number of factors are engaged with the estimation [5]. Execution investigation offers chances to speculators, especially private value investors to locate the additional incentive for their non-economic related execution [3].
The Study of Users’ Satisfaction towards the Development of Web Based Academic Information Systems: A Case Study

Since the attitude and perceptions to adopt the information system requires technical competence and skill, there were the understanding required about the relationship between a proposed technology used for improving the unique needs against the organization that address individual’s behavioral in using a new technology. This study is to investigate the using of information technology implemented in higher education institution (HEI) to assist users (students) in the academic activities. Specifically, on the behavior influenced by the users’ charateristics related to the perceptions and attitude to adopt the new information technology systems based on Technology Acceptance Model (TAM) approach. Based on the developed information system related to academic system (Academic Information System Based on WEB, we called as SIAK), the study conducted the investigation related to the user satisfaction through questionnaires distributed to 400 respondents. This study found that the users’ attitude in using the application of SIAK is as a good idea to facilitate academic services and having significant correlation towards gender, age, GPA, marietal status, and place. However, there were no having corelation between the users’ gender, age, and place (DC1, DC 2, DC 5) towards user’s satisfaction related to the completeness the SIAK contents (US4). Also, this study showed that there were no significant correlation existed between the users’ attitude towards the SIAK that support academic services against the use intentions (UI) and users’ satisfaction based on precision, data and information, completeness of the contents, and the format presentation (US1, US2, US4, US5).
The effect of the detraining period caused by the COVID-19 pandemic on the change of direction performance of fencers

Background and Study Aim The COVID-19 pandemic has caused many athletes to interrupt their regular training programme The change-of-direction performance is a highly critical parameter for fencing This study aims to investigate the effects of the detraining process caused by the COVID-19 pandemic on the change-of-direction performance of fencers Material and Methods The study sample comprised 15 fencers (11 males, 4 females) who were competitors in the U17-20 age categories (mean age: 15 75 +/- 1 51 years;height: 170 30 +/- 7 68 cm;weight: 65 16 +/- 10 83 kg) in Turkey All participants were high school students Branch-specific change-of-direction tests (4-2-2-4-m shuttle and 7-m repeat lunge ability) were measured in the middle of the competition season and after the detraining period The detraining period lasted 31 weeks due to the pandemic process Results The results showed that participants were slower in the post 7-m repeat lunge ability test (23 32 +/- 2 21 sec ) compared with the pre-test (22 38 +/- 1 58 sec ) and participants were slower in the post 4-2-2-4-m shuttle test (6 43 +/- 0 54 sec ) compared with the pre-test (5 84 +/- 0 33 sec ) (p<0 05) Conclusions The present study showed that long-term detraining reduces fencer's change-of- direction performance Basic exercise programs can be arranged to reduce the rate of adverse effects during long-term detraining process
Synthesis of a fluorescent mechanochromic polymer based on TGA-capped CdTe Quantum Dots and liquid latex

A flexible polymer based on latex and CdTe Quantum Dots (QDs) is introduced here which shows color changing properties under UV light as the polymer is stretched. After synthesis of TGA-capped CdTe QDs with different sizes and emissions in the optimal conditions, the flexible polymer is synthesized and different colors such as green, pale green, white, and pale red were observed under UV light. The effective parameters of fluorescent QDs such as size, extinction coefficients, and concentrations were calculated by absorption and emission spectra.
Prognostic Significance of Microvessel Density as Assessed by anti CD34 Monoclonal Antibody in Invasive Ductal Carcinoma of Breast

Breast carcinoma is one of the leading causes of cancer related mortality in females. It is the most common cancer among women in India with an incidence of approximately 1,45,000 cases annually and around 70,000 deaths annually [1]. In developing countries peak incidence of breast carcinoma occurs in 45 to 60 years. Despite various screening modalities, diagnosis and treatment employed, many women die from disease each year. A number of established prognostic indicators exist of breast cancer, which includes tumor size, lymph node status, histological grade, tumor type, vascular invasion and hormone receptor Abstract
Newspaper Framing of Issues in the 1999 Yoruba-Hausa Inter-ethnic Conflict in Sagamu

This study examines the characterisation of issues in the 1999 Yoruba-Hausa inter-ethnic conflict in Sagamu, south-western Nigeria. The occurrence of the1999 Yoruba-Hausa conflict in Sagamu had some historical significance. It was the first inter-ethnic conflict that occurred two months after the enthronement of democracy in Nigeria in 1999. Furthermore, it was the first inter-ethnic conflict between the Yoruba and the Hausa in Sagamu community after many centuries of peaceful co-existence. Therefore, the authors investigate how four major Nigerian national newspapers, National Concord, The Guardian, The Punch and Nigerian Tribune reported and characterised issues during this conflict. The study triangulates between indepth interview and content analysis research methods for data gathering in order to unpack issues embedded in the research questions. Theoretically, the study explicates framing theory given its relationship and appropriateness to the characterisation of issues in the selected newspapers in relation to the conflict. This study finds that the largest number of the stories analysed were characterised and framed around disunity and disintegration while death and economy dominate the themes that were reported in the selected newspapers over other themes. Therefore, the study concludes that, the strategic position of a newspaper is a considerable factor that should propel journalists to place high premium on social responsibility, public service and accountability in conflict reporting.
Controlling the Tube Diameter of SWCNTs Using High Melting Point Promotors

A particular control of the diameter of Single Walled-Carbon Nanotube (SWCNT) using Chemical vapor Deposition (CVD) system will enable many promising applications in different fields. Here we demonstrate the growth of SWCNT with good control of diameter (1.5 nm ± 0.7) using a high melting temperature metal (Ru) as a catalyst promotor with the main catalyst Co at 850˚C via CVD. We hypothesis that using high melting temperature metal as a promotor, like Ru can limit the mobility/change in the shape of the formed metal nanoparticles and eventually decrease the effects of Ostwald ripening (OR). FTS-GP is used as a carbon precursor. The results have been verified by high-resolution transmission electron microscopy (HR-TEM), atomic force microscopy (AFM) and multi-excitation Raman.