Miracle-dz/UniFAR-FTUs huggingface dataset:
Utilization of Bioorthogonal Chemistry for Live-Cell Labeling of Glycoconjugates and the Liposomal-Based Engineering of Dynamic Artificial Cellular Models

Author(s): Cole, Christian | Advisor(s): Devaraj, Neal K K. | Abstract: This dissertation will first explore the use of methylcyclopropene as an activated dienophile in the [4 + 2] inverse Diels–Alder cycloaddition with a tetrazine coupling partner for applications in bioimaging. Recently, bioorthogonal chemistries to label and track biomolecules in their native environment has received considerable interest from biochemists and chemical biologists. The tetrazine ligation is one such example, exhibiting robust kinetics and is mutually exclusive to other bioorthogonal reactions making it feasible to carryout multiple-color labeling experiments. However, the classical coupling partners of tetrazine are bulky dienophiles, like norbornene and trans-cyclooctene. This potentially limits live-cell applications requiring sterically small labeling probes. In contrast, methylcyclopropene is the smallest cyclic alkene and as a tetrazine coupling partner it provides minimal steric impact that is often desired in intracellular investigations. In addition to the fast kinetics (k 13 M−1s−1), fluorophore conjugated tetrazines can also exhibit a fluorogenic “turn-on” upon cycloaddition with methylcyclopropene, making them well suited for live-cell imaging probes. In the second investigation, this dissertation will explore two fundamental features of a phospholipid bilayer; their ability to encapsulate macromolecules and reconstitute transmembrane proteins. Phospholipid liposomes are akin to micron-sized flasks that can function as a delivery system and/or a bioreactor. In both of these applications high encapsulation efficiency is greatly desired or even necessary, but there are few liposomal methodologies that can achieve this. In order to integrate genetic circuits in liposomes we employed the inverted emulsion technique to make giant unilamellar vesicles that can be visualized by light microscopy. In addition, this method achieves greater than 90% encapsulation efficiency for polar macromolecules. Building off this technique we show it is possible to encapsulate live bacteria and yeast at high densities, which was previously only possible via microfluidics. An alternative methodology of encapsulation can be accomplished with synthetic lipids that are composed of two clickable precursors, comprising of an alkyl chain and a lysophospholipid. Initial we demonstrated how this could work between an oleoyl azide and an alkyne lysophospholipid to form a triazole phospholipid, but due to the low solubility of the azide oil in aqueous solutions we pioneered vesicle formation by native chemical ligation (NCL). In this system both precursors are water soluble allowing for higher encapsulation efficiency and similarly to the Cu(I)-catalyzed azide–alkyne cycloaddition, the NCL system can also spontaneously reconstitute active transmembrane proteins during membrane growth.
Industrial robot trajectory planning based on improved pso algorithm

A particle swarm optimization (PSO) algorithm which can dynamically adjust learning factors is proposed to solve the problems of low efficiency and unstable operation of traditional industrial robots. The method uses piecewise polynomial interpolation to fit the trajectory, and uses an improved particle swarm algorithm to optimize the trajectory of industrial robots with time as a fitness function. This method effectively combines the piecewise polynomial interpolation function with PSO, avoids the complex process of particle swarm algorithm to construct the adaptation function, and improves the problem that the traditional PSO is more likely to fall into local extreme value in the early stage and convergence speed is slow in the later stage. Through experiments to obtain the motion pose, velocity and acceleration trajectory of each joint of the manipulator, we can know that this method can effectively realize the trajectory optimization of the industrial robot, and ensure the stability of the overall operation while improving the operating efficiency.
Design and Evaluation of a New Machine Learning Framework for IoT and Embedded Devices

Low-cost, high-performance embedded devices are proliferating and a plethora of new platforms are available on the market. Some of them either have embedded GPUs or the possibility to be connected to external Machine Learning (ML) algorithm hardware accelerators. These enhanced hardware features enable new applications in which AI-powered smart objects can effectively and pervasively run in real-time distributed ML algorithms, shifting part of the raw data analysis and processing from cloud or edge to the device itself. In such context, Artificial Intelligence (AI) can be considered as the backbone of the next generation of Internet of the Things (IoT) devices, which will no longer merely be data collectors and forwarders, but really “smart” devices with built-in data wrangling and data analysis features that leverage lightweight machine learning algorithms to make autonomous decisions on the field. This work thoroughly reviews and analyses the most popular ML algorithms, with particular emphasis on those that are more suitable to run on resource-constrained embedded devices. In addition, several machine learning algorithms have been built on top of a custom multi-dimensional array library. The designed framework has been evaluated and its performance stressed on Raspberry Pi III- and IV-embedded computers.
New methods for the asymmetric synthesis of α-alkylated ketones and 1,3-amino alcohols

New methods for the asymmetric synthesis of α-alkylated ketones and 1,3-amino alcohols Author(s) McSweeney, Christina M. Publication date 2015 Original citation McSweeney, C. M. 2015. New methods for the asymmetric synthesis of α-alkylated ketones and 1,3-amino alcohols. PhD Thesis, University College Cork. Type of publication Doctoral thesis Rights © 2015, Christina M. McSweeney. http://creativecommons.org/licenses/by-nc-nd/3.0/
Polyphenol rich mung bean (Vigna radiata) yogurt for obesity prevention

This study was aimed to obtain yogurt formula rich in antioxidant phenolic and soluble protein of mung beans. Mung beans were washed, soaked, and then drained. With a ratio of 1:8, mung-beans and water, blended, and then filtered to produce mung beans juice. Mung beans yogurt (Mungbe-Yo) were made with the proportion of mung bean juice and skim milk were 100:0; 95:5; 90:10, and 85:15, before added with sugar as much as 10%, pasteurized in a 70°C temperature for 20 mins. After that, each Mungbe-Yo formula was cooled to 45°C, then added lactic acid bacteria (LAB) as a starter, as much as 2% and 4%, followed by incubation at room temperature for 24 hrs. Sensory tests included color, taste, flavor, and viscosity were performed by fifty-five panelists on a 5-point score basis. Antioxidant phenolic content was measured using the Folin-Ciocalteu method, while soluble protein was using the Lowry method. The highest score and most likable color, flavor, viscosity, and taste by panelists were formula P3B2, it was not different significantly with P3B1, P2B1, P2B2, and P1B2 (p>0.05). The proportion of mung bean juice-skim milk and LAB significantly affected the total phenolic and soluble protein (P<0.05), meanwhile its interaction was also statistically significant (P<0.05). Using effectivity index, the best Mungbe-Yo formula according to its total phenol and soluble protein content, as well as sensory was P3B1 formula, which was 85% mung bean juice, 15% skim milk and 2% LAB, containing phenolics and soluble protein were 525.958±48.9 mg GAE/L and 43.179±1.87%, respectively. Mungbe-Yo is suitable for individuals with obesity.
On-line monitoring system in greenhouse area for chrysanthemum cultivation based on raspberry pi and iot

Chrysanthemum plants generally grow well when cultivated at an altitude of 650-1200 m above sea level. Chrysanthemum plants come from subtropical climates, with temperatures ranging from 17-30 C. whereas, in Indonesia, which is a tropical region, it is 20-26 C. The humidity needed by chrysanthemum plants at the time of planting is 90-95%, while at the time of enlargement and chrysanthemum flower growth of 70-80%. To get optimal results, chrysanthemum plants need to be cultivated in a greenhouse area. In a greenhouse, temperature and humidity can be controlled. In addition, chrysanthemum plants are also more protected from pests. In this paper, an on-line greenhouse monitoring system is developed. The system is equipped with sensors for temperature, humidity, soil humidity, light intensity, and an RGB camera. Sensor data is sent to the cloud database via raspberry pi. Data is displayed in graphical form every 1 hour. The sensor data can be accessed from anywhere via the internet network and can be used for the analysis of crop yields based on greenhouse conditions during cultivation.
Prediction of Insulator Pollution Flashover Voltage Based on Data Mining Technology

The pollution flashover of insulators is of great significance to the safe and stable operation of power grids. Therefore, studying the pollution flashover voltage of insulators has very important guiding value for the external insulation prevention of power grids. For this reason, this article has obtained the flashover voltage under different salt densities and gray densities through manual pollution tests. Data mining technology is now widely used. In order to better apply data mining to the insulation flashover voltage prediction,this paper adopts the support vector machine regression method in data mining technology to establish a prediction model to predict the insulator pollution flashover voltage. Through this method, the flashover voltage of the insulator can be predicted in time, which is of great significance for maintaining the safe and stable operation of the power system.
Dual‐mode dual‐band bandpass filter design utilising cylindrical TM‐mode cavities

This letter presents the design of a novel dual-mode dual-band band- pass ﬁlter that utilises the TM210 and TM020 modes of cylindrical cavity resonators for millimetre-wave operation when fed with standard WR-10 waveguide ports. In this manner, the two selected modes of the cylindrical cavity resonators are demonstrated as a single propagation path for ﬁxed dual-passband responses without the need of cavity perturbations or tuning screws. The passbands are designated for centre frequencies at approximately 102.8 and 110.9 GHz and exhibit a four-pole Chebyshev characteristic in each of the passbands, which are sep- arated by a transmission zero location. Simulated and measured results of the prototype are presented to verify the design.
Trigonometric Solution for the Bending Analysis of Magneto-Electro-Elastic Strain Gradient Nonlocal Nanoplates in Hygro-Thermal Environment

Nanoplates have been extensively utilized in the recent years for applications in nanoengineering as sensors and actuators. Due to their operative nanoscale, the mechanical behavior of such structures might also be influenced by inter-atomic material interactions. For these reasons, nonlocal models are usually introduced for studying their mechanical behavior. Sensor technology of plate structures should be formulated with coupled mechanics where elastic, magnetic and electric fields interact among themselves. In addition, the effect of hygro-thermal environments are also considered since their presence might effect the nanoplate behavior. In this work a trigonometric approach is developed for investigating smart composite nanoplates using a strain gradient nonlocal procedure. Convergence of the present method is also reported in terms of displacements and electro-magnetic potentials. Results agree well with the literature and open novel applications in this field for further developments.
2, 2-Diphenyl-1-picrylhydrazyl Radical Effect and Phytochemical Constituents of Combretum platypetalum Welw. ex. M. A. Lawson subsp. oatesii (Rolfe) Exell Leaf

Aims: To investigate the phytochemical constituents and antioxidant properties of Combretum platypetalum leaf. Study Design: In vitro assessment of antioxidant properties and determination of the phytochemical constituents of C. platypetalum leaf extracts. Site and Duration of Study: Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Original Research Article Umoh et al.; EJMP, 16(2): 1-6, 2016; Article no.EJMP. 25524 2 University of Ibadan, Ibadan; Department of Biochemistry, University of Ibadan, and University of Agriculture, Makurdi (August 2013 –February 2015). Methodology: Phytochemical constituents of the hexane, ethyl acetate, acetone and methanol extracts were determined following established methods. The extracts were investigated for their antioxidant properties using 2, 2-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging assay, total phenolic content and total flavonoid content assay models. Results: Phytochemical screening showed the presence of alkaloids, terpenoids, saponins, flavonoids, and anthraquinones in the leaf extract. The methanol fraction contained the highest amount of polyphenols and flavonoids (1289.76 and 517.97 μg Catechin equivalent /g of extract respectively). The phenolics content of the extracts also correlated with the observed significant in vitro antioxidant effects. The highest DPPH free radical inhibition for catechin, n-hexane, ethyl acetate, acetone extracts and methanol extracts were observed at 90.41±0.05% at 2000 μg/mL, 20.60±12.38% at 750 μg/mL, 6.73±6.32% at 2000 μg/mL, 25.28±1.46% at 2000 μg/mL and 25.98±1.93% at 250 μg /mL respectively. Conclusion: The results of this study substantiate the high phenolics content and free radical scavenging effect of C. platypetalum leaf extract and validate the claims for its traditional uses.
The Theoretical Framework and Practice of Goal-Centered Problem-Oriented Teaching Mode

Currently, there exist some huge problems in the quality of talent cultivation in higher education, such as low comprehensive quality, insufficient practical ability, weak innovation consciousness and innovative spirit. To solve these problems, the paper proposes the goal-centered problem-oriented teaching mode, based on the requirements of school objectives, professional talent cultivation objectives and curriculum teaching objectives on students' comprehensive quality. The application of this teaching mode integrates the specific teaching contents of the course, by carefully designing various types of teaching problems that can promote students' autonomous learning and stimulate students' interest in learning, which has been successfully implemented in many courses, especially during the epidemic.
Quantitative phase imaging-based machine learning approaches for the analysis of adherent and suspended cells

For the example of digital holographic microscopy (DHM) we explored strategies to discriminate adherent and suspended single cells utilizing biophysical parameters retrieved label-free from DHM quantitative phase images in combination with machine learning (ML). Quantitative DHM phase contrast images of adherent cells were segmented while suspended single cells were analyzed based on a two-dimensional fitting approach. The retrieved parameter clouds were subsequently evaluated with different ML algorithms with the aim of an intuitive and user-friendly data representation. The results of the study demonstrate that our approach is capable for reliable discrimination between different cell types and to distinguish between different phenotypes.
A simulation object with LabVIEW: simultimeter (simulated multimeter)

Teaching materials used in distance education are generally obtained from the internet as ready-made by teachers. Materials such as simulation, animation and presentation are usually limited to the frame drawn by the creator and do not allow changes outside this limit. In addition, many of these types of materials do not have a feedback mechanism. The multimeter is one of the basic tools used in all courses such as physics laboratory, electronics laboratory, electrical laboratory and even chemistry laboratory, which are practiced in the fields of science and engineering. Students make many mistakes while using the multimeter. For this purpose, in this study, it is aimed to design a digital multimeter used in the laboratories of the basic courses at high school and university level as a simulation object. This simulation program is called SiMultimeter (simulated multimeter). The other aims of the study are that the simulation gives feedback to the users and that it can be installed on the computer with . exe extension without the need for internet connection.
Response Surface Modeling of Arsenic Adsorption by Modified Spent Tea Leaves

Arsenic (V) is represented as a very toxic compound, hence the importance of this research is concerned to reduce AS (V) from contaminated water before emitting it into river water by using modified spent tea leaves MSTL. The effect of arsenic initial concentration (10-100) mg.L−1, the mass of MSTL (0.1-0.6) g.L−1, pH (2-10), and mixing time (10-110) min were studies to obtain a mathematical model which describes the arsenic adsorption on MSTL using response surface methodology. The higher adsorption capacity has been conducted at 40 ppm of initial concentration, 0.5 g.L−1 of MSTL, pH=4, and 70 min of mixing time. The maximum removal efficiency and adsorption capacity were 87% and 69.8 mg/g, respectively. The optimum experimental results were analyzed isothermally and they were found fitted in high accuracy with Langmuir isotherm models.
Preclinical models of vertebral osteomyelitis and associated infections: Current models and recommendations for study design

Spine‐related infections, such as vertebral osteomyelitis, discitis, or spondylitis, are rare diseases that mostly affect adults, and are usually of hematogenous origin. The incidence of this condition has gradually risen in recent years because of increases in spine‐related surgery and hospital‐acquired infections, an aging population, and intravenous (IV) drug use. Spine infections are most commonly caused by Staphylococcus aureus, while other systemic infections such as tuberculosis and brucellosis can also cause spondylitis. Various animal models of vertebral osteomyelitis and associated infections have been investigated in mouse, rat, chicken, rabbit, dog, and sheep models by hematogenous and direct inoculation in surgery, each with their strengths and limitations. This review is the first of its kind to concisely analyze the various existing animal models used to reproduce clinically relevant models of infection. Spine‐related infection models must address the unique anatomy of the spine, the avascular nature of its structures and tissues and the consequences of tissue destruction such as spinal cord compression. Further investigation is necessary to elucidate the specific mechanisms of host‐microbe response to inform antimicrobial therapy and administration techniques in a technically demanding body cavity. Small‐animal models are not suitable for large instrumentation, and difficult IV access thwarts antibiotic administration. In contrast, large‐animal models can be implanted with clinically relevant instrumentation and are resilient to repeat procedures to study postoperative infection. A canine model of infection offers a unique opportunity to design and investigate antimicrobial treatments through recruitment a rich population of canine patients, presenting with a natural disease that is suitable for randomized trials.
Colorblind and Colorbound: Everyday Neoliberalism in the Discourses on Romantic Interracial Relationships

ABSTRACT This study examines the construction of racial ideology in the discourses on romantic interracial relationships. Through a critical discourse analysis of online comments, I show how neoliberalism is adopted in ordinary sense-making about racialized dating practices, and how it motivates boundary work at the public-private divide. Boundary work defines the acceptable values and practices within dating life and correspondingly gives rise to colorboundness, an explicit defense of race as an acceptable category for exclusion. Colorboundness prompts a deeper understanding of how colorblind ideology accommodates tensions and contradictions and yet remains the dominant form of racial ideology.
Transient Thermal Performance of Power Cable Ascertained Using Finite Element Analysis

This paper presents the computation of the cable ampacity and the temperature distribution through long duration based on the equivalent thermal circuit based on IEC 60287 standard and the Finite element method using COMSOL (Multiphysics environment, version 5.5). This study investigated the cable ampacity and the temperature rise of the cable core and sheath at steady state and emergency conditions. The cable ampacity was investigated at different conditions such as the variation of cable depth, soil properties, and soil temperature. The results confirmed the adaptation between the thermal circuit results and the COMSOL results as well as the effectiveness of using the numerical method to compute the cable ampacity. Using the COMSOL-based thermal properties evaluations, the transient performance of the cable is ascertained. The transient study is performed for different cable loading currents and dry zone sizes.
Smart home: Keeping privacy based on Air-Padding

Chao Yang, School of Cyber Engineering, Xidian University, Xi'an, China Email: chaoyang@xidian.edu. cn Abstract With the rapid development of the IoT, smart home plays an increasingly important role in daily life. At the same time, privacy issues have gradually aroused the concern of researchers. Past research proves that there are privacy risks when people use smart home devices and some protection methods are proposed to protect people's privacy. However, attackers can still infer people's behaviour and activities through analysing the wireless traffic of smart home devices. Herein, an attack method under complicated WiFi scenarios is demonstrated, including different locations, different buildings and different networks. In addition, a new protection method, Air‐Padding, is developed, which can change the traffic patterns of smart home devices through injecting constructed packets into the link between devices and routers. The results prove that Air‐Padding can prevent people's behaviour and activities from being analysed and inferred.
Antioxidants and Characterization of Stability and Organoleptic Properties of Cocoa Facial Mask

Beauty products plant based are getting increasing interest from users and the cosmetic industry. Cocoa liquor is a natural source of antioxidants from (Theobrama cacao L.) cocoa beans, with potential health benefits. The present study was conducted to determine the stability of cocoa facial mask in different temperature, the durability of CFM in extreme high and low temperature and the prospect of integrating CFM offers additional skin defence capability by eliminating free radicals from the environment. CFM shown stabled with different storage conditions. The amount of ferric ion reducing power (FRAP) in CFM was evaluated by the reduction of ferric-TPTZ to blue ferrous-TPTZ color, while β-carotene linoleate bleaching (β-CB) assay were determined by using β-carotene emulsion. FRAP and β- carotene recorded values of 252.31 ± 0.001 mmol Fe2+/g and 83.42 ± 0.03%, respectively. The EC50 of β-carotene linoleate bleaching (β-CB) reported at 2.92 ± 0.03 mg/mL. The results suggest that CFM is a potential source of phytochemicals. The study presents scientific validation on its phytochemical contents showing presence of bioactive compounds with nutritional and therapeutic values which may have positive impact on skin health and suggesting its prospective use in value-added products such as skin care cosmetics.