Miracle-dz/UniFAR-FTUs huggingface dataset:
SYNTHESIS AND IN VITRO ANTIMYCOBACTERIAL INVESTIGATION OF 2-/3-ALKOXYPHENYLCARBAMIC ACID DERIVATIVES CONTAINING 4 ́-(PYRIMIDIN-2 ́- -YL)PIPERAZIN-1 ́-YL MOIETY

In present paper, a series of 2-/3-alkoxyphenylcarbamic acid derivatives 5a 5d containing 4 ́-(pyrimidin-2 ́-yl)piperazin-1 ́-yl fragment were synthesized and isolated as salts with hydrochloric acid. Chemical structures of prepared intermediates and final compounds were confirmed by IR, 1H NMR, and 13C NMR spectral data. In addition, target molecules 5a 5d were characterized by MS as well as elemental analyses readouts. Prepared basic carbamates 5aB 5dB were investigated to consider some of their drug-like parameters known as Lipinski Rule of Five, i.e. molecular weight (<500), predicted values of log P for octan-1-ol/water system by applying Moriguchi prediction method ( 4.15) or by using Leo ́s prediction approach ( 5), number of hydrogen bond donors ( 5), number of hydrogen bond acceptors ( 10), number of rotable bonds ( 10) and, finally, the values of topological polar surface area ( 140 Å2). Given compounds have entirely met the criteria formulated above. Assuming their delivery by oral route and absorption by passive mechanisms, evaluated molecules would be able to show good oral bioavailability. The salts 5a 5d were in vitro screened for the activity against virulent Mycobacterium tuberculosis CNCTC My. 331/88 (identical with H37Rv and ATCC 2794) and some of potentially pathogenic strains, i.e. M. avium CNCTC My. 330/80 (identical with ATCC 25291), M. kansasii CNCTC My. 235/80 (identical with ATCC 12478) and clinical isolate of M. kansasii 6509/96, respectively, by the dilution-micromethod using isoniazide and ethambutol as standard drugs. Following estimated values of minimum inhibitory concentration, current research suggested that the presence of 3-alkoxy side chain attached to phenylcarbamoyloxy fragment as well as relatively -electron rich aromatic system(s) within basic compartment would be favorable in terms of the activity against M. tuberculosis H37Rv.
Cloning and Expression of a Secretory form of Truncated ORF2 (aa 112-607) from Hepatitis E Virus in the pVAX1 Vector

Background: ThehepatitisEvirus(HEV)accountsforthehepatitisEinfectionwithahighmortalityrateinpregnantwomen. Therefore, the design of the novel and eﬀective vaccines seems essential and the DNA vaccine approach could be useful to achieve this anticipated goal. Objectives: The present study aimed at cloning the lone tPAsp-PADRE-truncated ORF2 (112 - 607 aa) from HEV into the eukaryotic expression pVAX1 vector and evaluating the expression of this recombinant protein in eukaryotic cells. Methods: ThetruncatedORF2gene(112-607aa)wasclonedinthepVAXplasmid,followedbydigestion,andconﬁrmedbydigestion andsequencing. Then,therecombinantplasmidwastransfectedintoeukaryoticcellstoconﬁrmexpression. Theexpressedprotein in the cell lysate and supernatant was evaluated by immunoﬂuorescence assay (IFA) and Western blot assay. Results: The cloning of the tPAsp-PADRE-truncated ORF2 gene (112 - 607 aa) to the pVAX1 eukaryotic expression path was set by colony PCR, restriction enzymes digestion, and DNA sequencing of the recombinant plasmid. The appearance of the truncated ORF2 protein in the eukaryotic cells was accepted by the Western blot assay, reverse transcriptase polymerase chain reaction (RT-PCR) method, and the immuno [U+FB02] uorescence assay (IFA). Conclusions: Alloutcomesof thepresentresearchshowedthatpVAX-tPAsp-PADRE-TruncatedORF2(112-607aa)recombinantplas-mid was able to express truncated ORF2 from HEV as a potential candidate vaccine.
Type Reconstruction for λ -DRT Applied to Pronoun Resolution

λ -DRT is a typed theory combining simply typed λ -calculus with discourse representation theory, used for modelling the semantics of natural language. With the aim of type-checking natural language texts in the same vein as is familiar from type-checking programs, we propose untyped λ - DRT with automatic type reconstruction. We show a principal types theorem for λ -DRT and how type reconstruction can be used to make pronoun resolution type-correct, i
Growth and morphological characteristics of indigenous Elms (Ulmus sp. L.) planted in The Arboretum Borová hora

The work deals with the assessment of growth and morphological characteristics of Ulmus laevis Pall. , Ulmus glabra Huds. , and Ulmus minor Mill. Altogether, 134 indigenous individuals native to various localities of Slovakia were assessed. The results of measuring dendrometric characteristics showed significant differences in height, tree trunk diameter and crown width especially with the tree species Ulmus laevis Pall. which was assessed in four stands with different environmental conditions (dried out and waterlogged sites with various soil types). The largest individuals growth on sites with high soil moisture and bedrock diluvia with tufaceous material. Their height average was 24.4 m and diameter average d1,3 76.5 cm. In the other tree stand (two dry and one moisture and poor soil) were ranged height average from 13.6m to 24.7 m, diameter average d1,3 from 21.0 cm to 25.3 cm. On the basis of dendrochronological analyses, the four individuals representing each stand were assessed also with regard to their mean radial increment reaching the values of 2.8 – 7.5 mm per year. The age and position of Ulmus trees individual influenced their heights, diameters and crown projections. Health of the assessed
Survey on Advanced Approach to Construct E-Learning QA Systems

: The data-driven approach can yield high levels of performance and nicely complements traditional question answering techniques driven by information extraction. In order for question answering systems to benefit from this vast store of useful knowledge, they must copy with large volumes of useless data. Question Answering systems (QA) uses similarity in questions and ranking the relevant answer to user. The web gives large data and that require more time as well as no relevancy in answers. To solve this problem proposed system proposed novel Pair-wise Learning to rank model i.e PLANE which can quantitatively rank answer candidates from the relevant question pool. Specifically, it uses two components i.e one offline learning component and one online search component. Our model is effective as well as achieves better performance than several existing questions answer selection system. User gets recommendation based on his profile. User recommend the new question to his friend and this is trust analysis so user can get top recommendation of newly arrived question of languages.
Locating the Educator in Outdoor Early Childhood Education

Abstract We tell the story of an experience Kate Dawson, her students, and three eagles had at an outdoor preschool. The experience profoundly affected Kate, and prompted us to ask the following questions: What made this experience feel so magical, and what caused it to happen? Why are these magical moments valuable, and how might they impact our pedagogical practices? We posit that magical moments in outdoor early childhood education depend upon relational and pathic knowledge, and understanding of place, rather than intellectual or cognitive knowledge about place. We suggest conditions and practices educators may employ to foster magical moments, including slow ecopedagogy and embodied, sensory, and spiritual attunement to place. We consider our role as educators in the educator-students-place system, particularly when acknowledging that place is agentic, and acts as learner, knower and teacher. To understand place pedagogically, we must think of ourselves as learners and as the objects of learning, as much as thinking of ourselves as knowers. This requires a pedagogy of embodied responsiveness and a surrender to place as teacher. Far from simplifying the work of the educator, living within a relationship of educator-students-place complexifies the practice of teaching.
Text Document Clustering using Hashing Deep Learning Method

: Internet exploration is the use of data mining systems to discover patterns of information and relationships from internet data via data mining techniques. The aim of this study is to locate an efficient algorithm for web news mining with analysis of web news data using data clustering and classification procedures based on deep learning , as well as to evaluate the best way to use site news information algorithms compared to other technologies, and to assess the reliability of the internet news databases that are used as tools and techniques for data mining. In this study, we used an effective algorithm (H ash) that is used to collect and classify data for the best classification of Internet news with results close to 95. 66% accuracy.
Development of a Rudderless Aeroelastic Fin Technology

This project aims at developing a gapless and rudderless aeroelastic fin technology (GRAF) for the lateral directional control of air vehicles. The objective of the study is to design a light weight hinge-less and gapless fin structure that will achieve the same stability and control authority characteristics of conventional configurations, i.e. those comprising a hinged rudder. The current paper presents the details of a GRAF development including conceptual and structural design and performance analysis. Unlike a conventional stiff fin with a rigid hinged rudder, the GRAF empennage is designed as a unitized piece of “flexible” structure integrated with a compliant TE section acting as a morphing control surface. The aeroelastic fin operates essentially through span-wise twisting; this is achieved by initiating a rotation of the main beam and cambering the TE fin sections via a new actuation concept, denoted as “L Shaped Stringer” (LSS), which is here presented in detail. Consequently the twist will increase the torque due to aeroelastic coupling. The design guidelines and operation principles of a GRAF device are presented and discussed. It is here demonstrated that a proper aeroelastic tailoring of the control surface provides benefits both in terms of directional stability and control; nevertheless in order to exploit those advantages the aeroelastic control surfaces must be significantly more compliant than traditional empennages. This implies that the flutter and divergence margins associated to the GRAF are much tighter than in conventionally designed empennages.
Study of Compactness and Percentage Bandwidth of a Patch Type Frequency Selective Surface

The analysed design of a broadband and compact frequency selective surface has been proposed here The effects of introduction of different types of slots are studied and their simulated results are presented This paper proposes an FSS with maximum 10 dB percentage bandwidth of 80.2% and compactness of 71.36% the simulations are done by MOM based Ansoft Designer Software.
Activities of Root-Derived Phytochemicals of Withania Somnifera on Cancer Kinase: Computational Approach

Cancer is an uncontrolled growth of abnormal cells in the body. Cancerous cells are malignant in nature and kinase enzyme is essential for the survival and/or proliferation of the cancer cell. In this context, kinase inhibitors have been extensively investigated as anti-cancer drugs. In the presence of kinase inhibitors, the cancer is unable to proliferate or survive. Natural compounds are important sources of drugs. The present investigation concentrates on discovering anti-cancer compounds that are present in Withania somnifera, a medicinal plant belonging to Solanaceae family. In the current study, phytochemicals of Withania somnifera (Root) is identified using Gas ChromatographyMass Spectroscopy analysis (GC-MS) to dock against the enzyme cancer kinase (PDB ID: 3COI-Crystal structure of p38delta kinase) using iGEMDOCK v2.5. 0. The results of enzyme-substrate interaction energies show that these compounds are active against cancer kinase. Oleic acid, a phytochemical of Withania somnifera gave best binding energy of -84.26 kcal/mol and showed low toxic hazard with class I in Toxtree v2.5. 0. Further research on Withania somnifera will be useful in drug designing against cancer.
A Novel Approach to Recommend the Places by Using User’s Social Media Point of Interest

: The fast development of online travel information imposes rising challenges to tourists that must prefer fromseveral travel packages to meet their customized needs. On contrary, the travel companies understand preferences of tourists and serve-up more relevant packages. Proposed system will get social media Point of interest(POI) of user using Aho-corasick algorithm. Relevant package space including representative tags, the distributions of cost, visiting time and visiting season of each area, is mined to bridge the vocabulary gap between users travel preference and travel routes. User can view places by applying different preferences filter. User can add his own travelogue as well his photo in system. Travelogues are processed to get time, season, cost of each place. User will get recommendation on basis of collaborative filtering. Also the similar placesarerecommended using collaborative filtering method.
Palm tocotrienol rich fraction with palm kernel oil supplementation prevents development of liver steatosis in high fat diet ICR mice.

Background The prevalence of non-alcoholic fatty liver disease (NAFLD) in Asian countries is increasing at concerning level. Currently, no specific treatment available to prevent its oxidative stress and progression except for diet and lifestyle changes. Vitamin E such as tocotrienol-rich fraction (TRF) has a promising potential in preventing NAFLD progression. TRF is a potent antioxidant but has low bioavailability due to the use of long-chain triglycerides (LCT) as its carrier. Testing of potential therapeutic agents such as TRF are commonly carried out using animal models. These animal models are often costly due to limited access to the supply especially Asian countries and predisposed to high transportation cost. Lower expenditure of NAFLD model should be investigated without forfeiting the outcome of study. Therefore, this study addresses the gap by utilizing the ICR mice as NAFLD model through dietary modification and testing on the newly formulated TRF with combination of palm kernel oil (PKO) as a medium-chain triglycerides (MCT) carrier. Methods Fifteen ICR strain mice were randomly group into two control and one treatment group. Control groups received high-fat diet (HFD) only and standard diet while treatment group was given HFD with TRF (200 mg/kg/day). Study was carried out for 10 weeks. Weights were recorded twice a week. At the end of study, all mice were euthanized and data such weights, waist circumference and random blood glucose were recorded. Liver from each mouse were prepared for histology assessment. Results Mice mean weights and random blood sugar showed no difference between group (P>0.05) while significance waist circumference was larger in HFD and TRF groups compared to SD (P<0.05). Histology assessment showed steatosis in TRF group had lower severity compared to HFD group. NAFLD activity score (NAS) was lower in treatment group compared to HFD group. Conclusions TRF showed promising potential as an agent to reduce NAFLD progression in ICR mice. Further study at gene and protein levels are required to fully elucidate the mechanism of this new TRF formulation in reducing NAFLD progression.
On the size-dependent mechanical properties of five-fold twined fcc Fe nanowires

Fcc bulk Fe is metastable at ambient temperature. However, the existence of five-fold twinned nanowires of fcc Fe at ambient temperature challenges our understandings of the effect of twinned structures. In this study we report the results of a classical molecular dynamics study dedicated to investigate the structural and mechanical properties of the novel five-fold twinned fcc Fe nanowires. Part of the results of the study has been published recently at Nano Letters, 11 (2011) 5264–5273 [1]. Some additional results will be presented.
Atomistic simulation of metal-polymer adhesion

The micron-size monodisperse polymer particles have received great industrial and scientific attentions over the past two decades due to a wide variety of applications such as toners, instrument calibration standards, column packing materials for chromatography, biomedical and biochemical analyses. A new area which utilizes metal-coated conductive polymer particles for anisotropic conductive adhesives applications in liquid crystal display and microsystems has recently emerged. The metalized polymer particles have the potential to shrink the package size, reduce manufacturing cost, and be lead-free. However, a critical issue of the metal-coated polymer particles concerns the adhesion between metal and polymer, which strongly affects the resulting mechanical and thermal properties. The adhesion strength, in turn, depends mostly on the interface chemistry and interface atomic-scale morphology. The strength and reliability of metal-polymer joints are mainly the result of the play of forces of intermolecular interaction between metal and polymer. The interaction between these condensed bodies at distances on the nano-size refers to a very complicated set of inter-connected phenomena that is far from being understood. Therefore, the present work uses atomistic simulation to study the tensile and shear strength of a Nickel s-PMMA interface at the molecular level.
Effective Management of Bugs in Software Repositories

: Software organizations spend most of cost in managing programming bugs. An unavoidable stride of settling bugs is bug triage, which plans to accurately dole out an engineer to another bug. To diminish the time cost in manual work, content order strategies are connected to direct programmed bug triage. In this paper, we address the problem of information lessening for bug triage, i
ULTRASOUND IMPACT ON GREENHOUSE LETTUCE PRODUCTIVITY

This research aim is study the effect of ultrasound waves on the some marketing properties of lettuce plant. The experiment was carried out using hydroponic Nutrient Film Technique system (NFT) Ashape, in Giza governorate, through three economic period during the agricultural seasons of 2016/2017 under greenhouse growing conditions. Ultrasound device designed and assembled locally to generate different frequencies, with constant power ≈ 40 W. The present study seeks to the impact of ultrasound wave with different frequencies "F" of 20, 30 and 40 kHz, and exposure periods "EP" of 0, 60, 300 and 600 sec, on some marketing properties for lettuce (Lactuca sativa L.) i.e., fresh vegetative mass "Vm" (g), average leaves number "Ln", average leaf area "La" (mm ), stem firmness " SF" (kg cm ), and chorophyll ratio "Cr" using randomize complete block design (RCB). Results affirmed that, using ultrasound frequency 30 kHz, with "EP" 60 sec recorded max. values of marketing properties of Vm (555.25g), Ln (27.75), and La (417.06 mm ). Meanwhile, SF, recorded max. value of 7.01 kg cm and Cr of 30.73% at zero sec.
A Game Controller for Stroke Rehabilitation

Successful stroke rehabilitation relies on early, long-term, repetitive and intensive treatment. Repetitions conducted during clinical rehabilitation are significantly lower than that suggested by physiotherapeutic literature to relearn lost motor capabilities. This leaves patients to achieve this quantity in their home environment. Exercises can be monotonous and repetitive, making it difficult to maintain patient motivation. Exergames have been promoted for use in the home to make rehabilitation entertaining, increasing patients engagement with their therapy. Marketed exergaming systems for lower limb rehabilitation are hard to find, and none as of yet, facilitate Strength for Task Training (STT), a novel physiotherapeutic method for lower limb stroke rehabilitation. Strength for Task Training involves performing brief but intensive strength training (priming) prior to task-specic training to promote neural plasticity and maximise the gains in locomotor ability. This research investigates how the design of a game controller for lower limb stroke rehabilitation can facilitate unsupervised STT to compliment clinical contact time. The game controller was developed as part of a complete exergaming system designed to specifically facilitate STT. This involved working closely with co-researcher Scott Brebner who designed the exergame media. A user centered design approach was followed to include clinicians and stroke patients in the design process. This ensured the design aligned with the functional requirements of STT and the contextual needs of the patient. Workshops with stroke clinicians and neurophysiologists pointed to the specific areas of STT that a designed system could address. An iterative design process was used to develop, compare and improve concepts through testing with participants and clinicians. User testing involved participants using the game controller to interact with the digital game. The final output was a prototype pair of smart shoes with an attachable weighted sole. The design used removable sensors to translate lower limb movement into ingame interactions. The design of the shoes and weighted sole provided a simple and safe way to engage in unsupervised STT. Research findings suggest that while not all of the STT therapy can be incorporated in an unsupervised and home-based exergame system, there are some essential elements that can. Adaptable hardware was found to be integral to facilitating intensive priming. Barriers to use can be reduced through considering the diverse physiological and cognitive abilities of stroke patients and aesthetic consideration can help create a meaningful game controller that promotes its use in the home.
A Regularization Approach for Estimation and Variable Selection in High Dimensional Regression

Model selection and estimation are important topics in econometric analysis which can become considerably complicated in high dimensional settings, where the set of possible regressors can become larger than the set of available observations. For large scale problems the penalized regression methods (e.g. Lasso) have become the de facto benchmark that can effectively trade off parsimony and fit. In this paper we introduce a regularized estimation and model selection approach that is based on sparse large covariance matrix estimation, introduced by Bickel and Levina (2008) and extended by Dendramis, Giraitis, and Kapetanios (2018). We provide asymptotic and small sample results that indicate that our approach can be an important alternative to the penalized regression. Moreover, we also introduce a number of extensions that can improve the asymptotic and small sample performance of the proposed method. The usefulness of what we propose is illustrated via Monte Carlo exercises and an empirical application in macroeconomic forecasting.
Review of Automatic Speech Recognition For Recognition of Speech and Speaker

: Speech is fundamental mode of communication among the human being. Every individual has distinct characteristics called speech. Due to his different characteristics speech becomes important attribute in aural biometrics. If this attributes further use to recognize particular word or phrase then it is termed as speech recognition. And if it is used to recognize individual human being i