Miracle-dz/UniFAR-FTUs huggingface dataset:
A private researcher’s struggles against research fraud. I. A case study

Mechanical engineering is a mature branch of applied science. Consequently, it is characterized by steady evolutionary progress, rather than big theoretical breakthroughs and paradigm changes. However, what it lacks on the discovery front it makes up for with opportunities for invention. One key difference between an invention and a discovery is that inventions are more likely to bring riches and popular acclaim to the person who makes the breakthrough. Envy of these rewards for invention probably lies at the heart of the fraud to be described. In the summer of 1986, the author decided to celebrate his fortieth birthday by using one of the recently invented mountain bikes to bicycle off-road across the UK, from Land’s End to John o’Groats. For the first half of his journey he used foam-padded biking gloves, and for the second half gel-padded gloves. Neither type proved to be completely satisfactory for absorbing the vibrations and coping with the frequent falls resulting from his poor biking skills. So, on his return home he experimented with foam-plus-gel combinations, eventually developing a radically new mechanism for absorbing impact and vibration energy, which he referred to as shock-absorbing liquid (SALi) technology (Fig. 1).
APPLICATION OF OPINION CLASSIFICATION FOR FASTFOOD RESTAURANT POPULARITY USING INSTAGRAM

The purpose of this study is to identify several opinions regarding Instagram account of fast food restaurant in Indonesia. By using a system that can provide the information about the popularity ranking of fast food restaurants, researcher conduct an analysis using Naïve Bayes Classifier. To identify the popularity ranking, researcher collected restaurants data from Instagram, preprocessing text, using Naïve Bayes classification, and implementing the programing. The design of this system be able to determine the popularity ranking of fast food restaurants using collected data (number of likes and comments on Instagram’s post). All of the predictions obtained exceeds of 90%, indicating a fairly accurate prediction of the popularity ranking, where all results almost touch the maximum score. Data collected from the restaurants’ Instagram account, indicating positive results and ratings, based on number of likes and comments per post. The result of this research shows that, Burger King restaurants are the most popular, second is Kentucky Fried Chicken, third is McDonalds, fourth is Hokben, and fifth are Wingstop.
Synthesis and Transformations of Functionalized Benzosiloxaboroles

The synthesis and characterization of a series of fluorinated benzosiloxaboroles bearing the synthetically useful formyl and cyano groups is reported. These compounds have been obtained by multistep syntheses starting with simple halogenated benzenes. The general synthetic protocol was based on the generation ortho-boronated aryldimethylsilanes which undergo dehydrogenative cyclization upon hydrolytic workup due to the activation of the Si-H bond by the adjacent boronic group. In some cases the synergy of adjacent boron- and silicon-based functionalities resulted in an unexpected hydrosilylation of CHO group under mild aqueous conditions. The reduction of a benzosiloxaborole derivative bearing the formyl at the ortho position with respect to the boron atom resulted in the structural transformation reflecting the higher stability of the carboxaborole heterocycle with respect to its silicon counterpart. Thus, a unique heterocyclic system featuring a central 10-membered ring comprising two borasiloxane linkages was isolated.
Keratin-reinforced cellulose filaments from ionic liquid solutions

Cellulose-based filaments produced with ionic liquid-based processes have high application potential in textiles and composites to replace cotton fibres. These filaments already have unique properties that could be further improved with the addition of proteins. Keratin from poultry feathers is currently a low-value material that has potential as a renewable feedstock in material applications. In this study, cellulose filaments with chicken feather keratin were prepared by wet-spinning from an ionic liquid solution. Both keratin and cellulose were dissolved in [EMIM]AcO and spun into ethanol to regenerate cellulose and keratin and wash out the ionic liquid. The effect of keratin addition on the filament properties was investigated by microscopic, spectroscopic and strength analyses. It was observed that a small keratin addition into the cellulosic filaments improved the mechanical properties remarkably, whereas high keratin additions resulted in reduced mechanical performance. Keratin accumulation on the surface of the prepared filaments was observed. In addition, based on FTIR spectroscopy, it is likely that the morphology of cellulose changed from cellulose I to II and the β-sheets in feather keratin unfolded to unordered keratin upon dissolution and regeneration. The cellulose–protein filaments may find applications from areas where good biocompatibility and easy modifiability are required characteristics.
Euchrestaflavanone A can attenuate thrombosis through inhibition of collagen-induced platelet activation

Euchrestaflavanone A (EFA) is a flavonoid found in the root bark of Cudrania tricuspidata . C. tricuspidata extract, widely used throughout Asia in traditional medicine, has been investigated phytochemically and biologically and is known to have anti-obesity, anti-inflammatory, and anti-tumor effects. It has been reported that C. tricuspidata extract also possesses antiplatelet effects; however, the mechanism of its anti-platelet and anti-thrombotic activities is yet to be elucidated. In this study, we investigated the effects of EFA on the modulation of platelet function using collagen-induced human platelets. Our results showed that EFA markedly inhibited platelet aggregation. Furthermore, it downregulated glycoprotein IIb/IIIa ( α IIb/ β 3)-mediated signaling events, including platelet adhesion, granule secretion, thromboxane A 2 production, and clot retraction, but upregulated the cyclic adenosine monophosphate-dependent pathway. Taken together, EFA possesses strong anti-platelet and anti-thrombotic properties and is a potential therapeutic drug candidate to prevent platelet-related thrombosis and cardiovascular disease.
Groundwater flow modeling for cachar, India using MODFLOW: a case study

ABSTRACT Cachar district of Assam, India has less cultivated land due to waterlogging of agricultural land in the monsoon period and shortage of surface water in the dry season. But, the area has untapped enormous groundwater which can be extracted from the aquifer to increase cultivation in the dry season. In this regard, a detailed analysis of the groundwater system and a feasible plan for sustainable groundwater management are required. Therefore, a transient state groundwater flow model was developed for the region using MODFLOW. The model was calibrated and validated using the observed groundwater level (1996–2015). The groundwater recharge was estimated using GEC 1997. The results from the model study indicated that the total inflow to the aquifer is 28.47 million cubic meters (mcm) and the outflow is 27.45 mcm. Hence, the rising trend of water level and more waterlogged area were observed. A high hydraulic gradient was visualized in the area vicinity to river Barak, where the flow direction is towards the aquifer in monsoon, and vice-versa in the nonmonsoon period. The model was further predicted for a hypothetical scenario by proposing additional pumping wells for groundwater utilization in agriculture and to reduce the waterlogged areas. Sensitivity analysis shows that model is more sensitive in recharge than hydraulic conductivity.
Oligonucleotide-polymer nanoparticle conjugates : diagnostic applications

The paper aims to review the recent studies investigated in this laboratory on the preparation, properties and applications in the biomedical field of oligodesoxyribonucleotides (ODN)-latex conjugates. Hydrophobic and hydrophilic nanoparticles proved to be suitable supports for such ss-DNA fragments, preferentially when they are cationically charged regarding the negatively-charged phosphates of ODNs in a broad range of pH values. The adsorption and desorption behaviour of these ODNs onto latex particles needed to be investigated before carrying out their covalent grafting. Several parameters were found to play a role in adsorption behaviour such as pH, ionic strength, surface charge density and HLB of the particle interface. Covalent coupling of ODNs was performed through the amino terminated alkyl spacer of the ODN, the efficiency of grafting being monitrored by selecting the pH, salinity and adequate non-ionic surfactant. Conformation of immobilized oligonucleotides can be analysed both by fluorescence energy transfer and neutron scattering techniques, indicating that basic pH, high ionic strength and high surface grafting of ODNs promoted a brush conformation. Such ODN-bearing nanoparticles were found suitable for enhancing the sensitivity of diagnostic tests involving DNA capture and detection.
Identification of disease critical Genes for Triple Negative Breast Cancer, TNBC, using Particle Swarm Optimization, PSO, with Machine Learning

Triple Negative Breast Cancer (TNBC) is an aggressive subtype of breast cancer observed in young women. Continuous efforts are being made to identify genes causing Breast Cancer through microarray dataset mining. In this paper, Particle Swarm Optimization has been applied to identify disease causing genes and four classification algorithms, namely, k-Nearest Neighbor (kNN), Support Vector Machine (SVM), Naïve Bayes (NB) and Decision Tree (DT) have been employed to classify the samples. As a result, four hybrid algorithms, namely, PSO-kNN, PSO-SVM, PSO-NB and PSO-DT have been proposed and applied to identify the informative genes for Triple Negative Breast Cancer. Leave One Out (LOO) algorithm is applied for cross validation purpose. Experiments have been conducted on microarray datasets (GSE27447, GSE38959 and GSE31519) to verify the efficiency of algorithms. A comparative study has been performed among the algorithms and biologically relevant genes are identified. Each algorithm has obtained 100% average accuracy in GSE31519 dataset. PSO-DT variant has outperformed all other algorithms in terms of average accuracy in GSE27447 and GSE38959 datasets. Some significant biomarkers identified are: HBB, ITR, GATA, EGFR, ENO2 and ATG9A.
A SARS-CoV-2 neutralizing antibody selected from COVID-19 patients by phage display is binding to the ACE2-RBD interface and is tolerant to most known recently emerging RBD mutations

The novel betacoranavirus SARS-CoV-2 causes a form of severe pneumonia disease, termed COVID-19 (coronavirus disease 2019). Recombinant human antibodies are proven potent neutralizers of viruses and can block the interaction of viral surface proteins with their host receptors. To develop neutralizing anti-SARS-CoV-2 antibodies, antibody gene libraries from convalescent COVID-19 patients were constructed and recombinant antibody fragments (scFv) against the receptor binding domain (RBD) of the S1 subunit of the viral spike (S) protein were selected by phage display. The selected antibodies were produced in the scFv-Fc format and 30 showed more than 80% inhibition of spike (S1-S2) binding to cells expressing ACE2, assessed by flow cytometry screening assay. The majority of these inhibiting antibodies are derived from the VH3-66 V-gene. The antibody STE90-C11 showed a sub nM IC50 in a plaque-based live SARS-CoV-2 neutralization assay. The in vivo efficacy of the antibody was demonstrated in the Syrian hamster and in the hACE2 mice model using a silenced human IgG1 Fc part. The crystal structure of STE90-C11 Fab in complex with SARS-CoV-2-RBD was solved at 2.0 Å resolution showing that the antibody binds at the same region as ACE2 to RBD. The binding and inhibtion of STE90-C11 is not blocked by many known RBD mutations including N439K, L452R, E484K or L452R+E484Q (emerging B.1.617). STE90-C11 derived human IgG1 with FcγR silenced Fc (COR-101) is currently undergoing Phase Ib/II clinical trials for the treatment of moderate to severe COVID-19. In Brief Human antibodies were selected from convalescent COVID-19 patients using antibody phage display. The antibody STE90-C11 is neutralizing authentic SARS-CoV-2 virus in vitro and in vivo and the crystal structure of STE90-C11 in complex with SARS-CoV-2-RBD revealed that this antibody is binding in the RBD-ACE2 interface. S1 binding of STE90-C11 and inhibition of ACE2 binding is not blocked by many known RBD mutations.
Explore the Rural Community Understanding and Practices on Sustainable Lifestyle in Kelantan, Malaysia

This study aims to explore the understanding and practices of the rural community on sustainable living in Jeli District, Kelantan. A qualitative research approach was adopted in this study by using an in-depth interview. A total of 36 respondents from three (3) locations (Jeli, Kuala Balah, and Batu Melintang) participated in this study. This findings show the rural community of Jeli has a modest understanding of a sustainable lifestyle. Besides that, several sustainable initiatives are practiced by the Jeli community, like using energy-saving products and recycling. However, the number of people involved in any sustainable lifestyle is small as compared to the total population. However, the initiatives that have been conducted could be motivation for others to start practicing sustainable living.
Effect of Material on the Mechanical Properties of Additive Manufactured Thermoplastic Parts

Additive manufacturing (AM) also called 3D printing, is an emerging process in the manufacturing sector with increasing new applications in aerospace, prototyping, medical devices and product development, among others. The resistance of the AM part is determined by the chosen material and the printing parameters. As novel materials and AM methods are continuously being developed, there is a need for the development and mechanical characterization of suitable materials for 3D printing. In this study, the influence of the material and the 3D-printing parameters on the mechanical properties of additive manufactured thermoplastic parts was investigated. Three different filaments that are commercially available: Polylactic acid (PLA), acrylonitrile butadiene styrene (ABS) and Tritan were used. Tensile and flexural tests were carried out, in accordance to ASTM standards, to investigate and compare the mechanical properties of the AM parts as a function of material used. The results showed that the type of filaments had the greatest influence on the mechanical properties of the AM parts. The maximum strength and stiffness were obtained for the PLA specimens. Tritan displayed the highest deformation, while the PLA manifested the lowest deformation capacity. The mechanical properties of the printed parts also depend on the printing parameters. The parameters used in this work are a good compromise between the printing time and the mechanical properties.
Alternative Functions for the Beta-Galactosidases of Microorganisms Found in Environments Without Lactose

Many microorganisms possess genes encoding glycoside hydrolase enzymes that allow them to catabolize carbohydrates present in their environments. Among the glycoside hydrolases, β-galactosidases are typically considered to function as lactases. However, many β-galactosidase producing microorganisms exclusively occupy habitats such as soil and water where the disaccharide lactose is not available. This suggests that these β-galactosidases hydrolyze substrates other than lactose and have new, unknown functions. My research objective was to examine possible natural functions of different glycosyl hydrolases with β-galactosidase activity in a group of phylogenetically related bacteria. I obtained hundreds of isolates by enriching for psychrophilic spore-forming organisms, which I then screened for β-galactosidase production. Genes encoding βgalactosidase activities were cloned, sequenced, and the encoded enzyme activities examined. My examination of these isolates, their genes encoding β-galactosidase activities, and the patterns of occurrence of these genes in fully sequenced genomes, led me to hypothesize that compounds from plants are the in vivo substrates. One gene of special interest belonged to a glycoside hydrolase family (GHF) not known for having β-galactosidase activity (GHF 3). Because of this unique placement, the enzyme was purified and characterized. This enzyme also had β-glucosidase activity, a low thermal optimum, and was most active on aryl-glucosides. Although some bacterial enzymes with aryl-glucosidase activity are catabolic, others have been demonstrated to have roles in signaling or saprophytic interactions with plants through their actions on specific secondary metabolites from plants. Analysis of this β-glucosidase was published in Applied and Environmental Microbiology (Shipkowski, S. and J.E. Brenchley. 2005. Characterization of an unusual cold-active β-glucosidase belonging to Family 3 of the glycoside hydrolases from the psychrophilic isolate Paenibacillus sp. strain C7. 71(8): 4225-4232). During this work, examinations of more typical β-glucosidase (non-aryl) substrates such as cellobiose suggested analogous galactosidic compounds from plants could be substrates for β-galactosidases instead of lactose. With these substrates in mind, I focused on the GHF 42 β-galactosidases because my interpretation of previous results relevant to this family did not provide evidence for lactose hydrolysis as an in vivo function. Therefore, I analyzed existing GHF 42 gene sequences and used conserved regions indicated by the alignments to design a PCR primer pair specific for this group of β-galactosidases, and demonstrated their utility using control templates. Next, I used the primers to screen the genomic DNA of bacterial isolates, and then screen the plasmid DNA of β-galactosidase-expressing genomic library transformants from these isolates. In addition to obtaining additional GHF 42 gene
The road to hel(l)icopter teaching: how do instructors make sense of their helicopter teaching behaviors and student effects?

The goal of this study was to explore college teachers’ sensemaking (Weick, 1995) of their communicative patterns of helicopter-teaching behaviors and perceived student effects. Semi-structured interviews with college-level instructors were conducted, and results from thematic analysis revealed teachers engaged in informational and relational helicopter-teaching behaviors. Informational behaviors included excessive involvement and over-preparation on student assignments, simplifying course content for ease of understanding, and over-accommodation of student requests for leniency. Relational behaviors included excessive validation/encouragement and blurred relational boundaries. Instructors perceived these behaviors to help students earn higher grades, but concurrently created grade inflation. While helicopter teaching may help students achieve course learning objectives, participants noted that these behaviors may also prevent students from developing critical thinking skills. Finally, instructors reported that these behaviors demonstrated their caring and concern, but that students may also experience increased dependence on them. Instructors expressed difficulty in making sense of their role given the desire to be helpful, but not to hover.
Tourism Destination Marketing: Academic Knowledge

A holistic, multi-organization view of marketing or destination management organizations (DMOs) who must muster the best efforts of many partner organizations and individuals (stakeholders) to have the greatest success. Destination marketing is described as “a continuous, sequential process through which a DMO plans, researches, implements, controls and evaluates programs aimed at satisfying tourists’ needs and wants as well as the destination’s and DMO’s visions, goals and objectives”. The effectiveness of marketing activities depends on the efforts and plans of tourism suppliers and other entities. This definition posits that marketing is a managerial function/domain that should be performed in a systematic manner adopting and implementing the appropriate approaches, as well as suitable tools and methods. In doing so, it is believed that a tourism destination (through the organizational structure of a DMO) can attain the expected outputs beneficial to all stakeholders, i.e., the tourism industry, hosting communities/populations, and tourists/visitors. The effective implementation of tourism destination marketing principles and methods constitutes an efficient and smart pillar, a cornerstone to attain a balance/equilibrium between the perceptions and interests, sometimes conflicting, of stakeholders by minimizing the negative impacts and maximizing the benefits resulting from tourism. All the same, it is worth noting that marketing is not a panacea, nor a kind of magic stick.
Breakthrough in the preparation of irradiated sodium alginate/polyethylene oxide blend films using methacrylate monomer

ABSTRACT The present work is an attempt to prepare biodegradable films of sodium alginate (SA)/polyethylene oxide (PEO) blend tailored by methacrylate (MA) and γ irradiation following casting method. The effects of SA/PEO composition, glycerol as a plasticizer, methacrylate as a monomer, and radiation dose were investigated and it was found that the mechanical properties of the films strongly depend on the film-forming parameters. The incorporation of glycerol in the blend is crucial as it creates a suitable environment for monomer addition and points out that tensile strength of the films decreased, while the elongation at break increased. Moreover, it was found that the tensile properties were improved by the application of γ radiation as well as monomer treatment. The mechanical properties of the blend films integrated with MA monomer were higher than that without monomer at the analogous conditions. The structural and morphological features of the films were examined by Fourier transform infrared spectroscopy and scanning electron microscopy, respectively.
APLIKASI GREEN BUILDING BERDASARKAN METODE EDGE

The world of industrial construction is always developing, thus there are negative impacts arise such as the reduction of free / green land, the use of construction materials originated from natural resources in very large quantities, excessive use of energy, and air pollution. We can actually use the tropical climate in buildings and the environments using the green building concept. The green building concept includes several parts of the construction process such as green initiation (awareness of the green building concept), green design (green building design), green construction (environmentally friendly construction process), green operation & maintenance (green building maintenance). This research is conducted with the aim of analyzing the effectiveness of the application of the green building concept in construction of the buildings. The method used in this study is to compare the total cost of maintenance and impact between buildings categorized as buildings with conventional concepts and buildings with green building concepts. The variables used in this study to include the use of the type of material, monthly electricity costs, and monthly water costs. In processing the data the writer use EDGE software and the results of data processing will show the difference in the total maintenance costs of the two buildings.