Miracle-dz/UniFAR-FTUs huggingface dataset:
Transgenesis in the acoel worm Hofstenia miamia

The acoel worm Hofstenia miamia, which can replace tissue lost to injury via differentiation of a population of stem cells, has emerged as a new research organism for studying regeneration. To enhance the depth of mechanistic studies in this system, we devised a protocol for microinjection into embryonic cells that resulted in stable transgene integration into the genome and generated animals with tissue-specific fluorescent transgene expression in epidermis, gut, and muscle. We demonstrate that transgenic Hofstenia are amenable to the isolation of specific cell types, detailed investigations of regeneration, tracking of photoconverted molecules, and live imaging. Further, our stable transgenic lines revealed new insights into the biology of Hofstenia, unprecedented details of cell morphology and the organization of muscle as a cellular scaffold for other tissues. Our work positions Hofstenia as a powerful system with unparalleled tools for mechanistic investigations of development, whole-body regeneration, and stem cell biology.
Reverse Vending Machine Item Verification Module using Classification and Detection Model of CNN

Reverse vending machine (RVM) is an interactive platform that can boost recycling activities by rewarding users that return the recycle items to the machine. To accomplish that, the RVM should be outfitted with material identification module to recognize different sort of recyclable materials, so the user can be rewarded accordingly. Since utilizing combination of sensors for such a task is tedious, a vision-based detection framework is proposed to identify three types of recyclable material which are aluminum can, PET bottle and tetra-pak. Initially, a selfcollected of 5898 samples were fed into classification and detection framework which were divided into the ratio of 85:15 of training and validation samples. For the classification model, three pre-trained models of AlexNet, VGG16 and Resnet50 were used, while for the detection model YOLOv5 architecture is employed. As for the dataset, it was gathered by capturing the recycle material picture from various point and information expansion of flipping and pivoting the pictures. A progression of thorough hyper parameters tuning were conducted to determine an optimal structure that is able to produce high accuracy. From series of experiments it can be concluded that, the detection model shows promising outcome compare to the classification module for accomplishing the recycle item verification task of the
Go Put Your Strengths To Work: 6 Powerful Steps To Achieve Outstanding Performance

Companies routinely claim that 'Our People Are Our Greatest Asset', but research data shows that in practice most people do not actually use their assets much at work. This books aims to change that. When employees learn how to truly apply their greatest strengths at work, they turbo-charge their career potential and everybody wins. Companies find that their employees are more productive, their teams are more effective, their organization is more innovative and, accordingly, their customers are more engaged. In First, Break All the Rules, Marcus Buckingham proved the link between engaged employees and more profitable bottom lines and highlighted great managers as the catalyst. In Now, Discover Your Strengths he explained how to sort through your patterns of wishes, abilities, thoughts and feelings and, with the help of a web-based profile, identify your five most dominant talents. In Go Put Your Stengths to Work he shows you how to take the crucial next step. How to seize control of your time at work and, in the face of a world that doesn't much care whether you are playing to your strengths, how to rewrite your job description under the nose of your boss.
Control of Voltage Source Converters for Voltage Dip Mitigation in Shunt and Series Configurations

Custom Power is the application of power electronics to improve the quality of power distribution for sensitive industrial plants. Industries reporting production stops due to voltage disturbances, like short interruptions and voltage dips, include paper mills, semiconductors facilities and other industries with fully automated production. Voltage dips are sudden drops in voltage, with duration between half a cycle and some seconds, mostly caused by clearing of short-circuit faults in the power system. Power electronic converters connected in shunt or series with the grid and equipped with energy storage can provide protection of sensitive processes against voltage dips. This thesis focuses on the control of Voltage Source Converter (VSC) connected in series or in shunt with the grid for mitigation of voltage dips. In both configurations, the core of the controller is the current controller. Since most voltage dips are unbalanced and have short duration, decisive factors for successful compensation are high speed of response and capability of handling unbalances. Three different algorithms for current control of VSC under unbalanced voltage conditions are presented and analyzed in detail. These algorithms include time delay compensation and reference voltage limitation with feedback, to improve the current control during overmodulation. Stability analysis of all three controllers is carried out. Different methods for sequence component detection are presented and compared, based on their transient performance. Simulations and experimental results on a 69-kVA prototype are presented and discussed for all three controllers. For use in a series-connected VSC, the three current controllers are completed with an outer voltage loop, thus realizing three cascade controllers that are presented and analyzed in detail. For all three controllers, stability analysis and simulation results with balanced and unbalanced voltage dips are also presented. The three controllers have been tested on a prototype series compensator and experimental results are presented in this thesis. Design and testing of the protection system for the series-connected VSC is also described in detail. Experimental results with non-linear load (diode rectifier) are shown. Finally, a similar cascade controller for voltage dip compensation with shunt-connected VSC is presented and tested via simulations. To improve the performance, a modified configuration including an LCL-filter between the VSC and the grid is proposed. It is also shown that by adding an active damping term in the inner current controller, undesired resonances between the filter components can be overcome and satisfactory mitigation of voltage dips can be achieved. A drawback is the high amount of injected current required if the grid is strong at the point of connection of the VSC.
Artificial medium for in vitro pollen germination of some ornamental Linum species

For the first time components of the nutrient medium were identified for the successful germination of pollen in such ornamental species of the Linum genus as L. grandiflorum, L. hirsutum, L. pubescens and L. thracicum. It was shown that the media with PEG-2000 in concentrations of 20-30% in combination with boric acid and calcium chloride in the concentrations of 200 mg/l ensure germination of Linum pollen up to 40-50%. The addition of sucrose and PEG with higher molecular weight adversely affects the germination of pollen. This will allow anyone to evaluate the quality of flax pollen quickly and efficiently and more successfully implement many genetic and breeding programs.
Production of efficient enzymes for flax retting by solid state fermentation with Aspergillus niger

Purpose – The purpose of this paper is to study the optimum culture condition of flax-retting enzyme, and applying the enzyme liquors to retting. In addition to research the structure of flax stem in enzyme retting using scanning electron microscopy (SEM). Design/methodology/approach – The influence of cultural parameters such as moisture level, temperature, incubation time and inoculum size were evaluated with respect to polygalacturonase and xylanase yield. The structure of flax stem was revealed by SEM. Findings – The flax was retted by dilute enzyme liquors (polygalacturonase/25 U/ml, xylanase/1 U/ml), and 24-h retting period was obtained. The SEM studies revealed the removal of a large amount of non-cellulosic gummy material of flax stem in enzyme retting. Originality/value – First, flax-retting enzyme containing higher-yield polygalacturonase, lower-yield xylanase and no cellulose was yielded by SSF. Second, the composition of enzyme could meet flax retting and no damage cellulosic fibre. Finally, o.
An integrated model of technology acceptance for mobile computing

Technology acceptance models have been an important area of research in the Information Systems arena especially in the last 20 years. Most technology acceptance studies use factors from Davis's Technology Acceptance Model (TAM), Davis and Venkatesh's Extended Technology Acceptance Model (TAM2), Ajzen's Theory of Planned Behavior (TPB), and/or Goodhue's Task-Technology Fit (TTF) model. This study integrates factors from these four models and focuses on the acceptance of mobile computing. The purpose of this research is fourfold. First, the research improves the understanding of technology acceptance for mobile computing devices. It does this by examining the components of four known technology acceptance models (TAM, TAM2, TPB, TTF). Using the definition of each component the research assesses which factors should be extracted into an integrated technology acceptance model for mobile computing devices. Subsequent interviews of PDA users resulted in the identification of three additional factors for the integrated model. The factors are adaptability, mobility, and security. Second, this derived model is useful for technology acceptance not only for mobile computing but also for location dependent domains, since the factors are derived from general purpose technology acceptance models. Third, the research assesses this integrated model. For this research the PDA is selected as an example of a mobile computing device. A questionnaire exploring the relevance of factors in the integrated model was constructed from those items used in previous models. These questions were included in a survey and augmented by questions from literature. The questionnaire was developed and administered to 134 PDA users from 5 different groups. The answers to the questionnaire have confirmed the importance of the additional factors in that the results of the questionnaire analysis points to the conclusion that respondents find adaptability, mobility and to a lesser extent security are important to them. The research uses a set of new analysis techniques, namely data mining, which shows the integrated model is the one of the best predictors of the measurement of usage behavior. In some cases the prediction is several percentage points higher for each of the four contributing models. Furthermore the data mining information gain analysis find mobility to be the second largest predictor variable for intention to use indicating that in the minds of these users mobility is significantly important in accepting the technology. Fourth, the research explains the relationships between the factors. Using regression analysis and correlation coefficients the research shows that mobility is the strongest of the three new factors because it is related to 13 of the other 14 factors. The other two new factors show significant correlation with one another.
Flow based Sequential Grouping System for Malicious Traffic Detection

With the rapid development of science and technology, several high-performance networks have emerged with various new applications. Consequently, financially or socially motivated attacks on specific networks have also steadily become more complicated and sophisticated. To reduce the damage caused by such attacks, administration of network traffic flow in real-time and precise analysis of past attack traffic have become imperative. Although various traffic analysis methods have been studied recently, they continue to suffer from performance limitations and are generally too complicated to apply in existing systems. To address this problem, we propose a method to calculate the correlation between the malicious and normal flows and classify attack traffics based on the corresponding correlation values. In order to evaluate the performance of the proposed method, we conducted several experiments using examples of real malicious traffic and normal traffic. The evaluation was performed with respect to three metrics : recall, precision, and f-measure. The experimental results verified high performance of the proposed method with respect to first two metrics.
Microcontroller interrupts for flexible control of time critical tasks in experiments with laser cooled atoms

I detail applications of timer interrupts in a popular micro-controller family to time critical applications in laser-cooling type experiments. I demonstrate a low overhead 1-bit frequency locking scheme and a multichannel experimental sequencer using the timer-counter intterrupts to achieve accurate timing along with flexible interfaces. The general purpose nature of micro-controllers can offer unique functionality compared with commercial solutions due to the flexibility of a computer controlled interface without the poor latencies associated with computer timing.
Diet Quality and Risk of Parkinson’s Disease: The Rotterdam Study

The Mediterranean diet has been associated with the risk of Parkinson’s disease (PD), but limited research has been performed on other dietary patterns. We studied the relationship between overall diet quality and PD risk in the general population. We included 9414 participants from the Rotterdam Study, a prospective population-based study in the Netherlands. Diet was defined using a Dutch diet quality score, a Mediterranean diet score and data-driven dietary patterns constructed with principal component analysis (PCA). During an average follow-up of 14.1 years, PD was diagnosed in 129 participants. We identified a ‘Prudent’, ‘Unhealthy’ and ‘Traditional Dutch’ pattern from the PCA. We found a possible association between the Mediterranean diet (Hazard ratio (HR) per standard deviation (SD) 0.89 (95% confidence interval (CI) 0.74–1.07)), the ‘Prudent’ pattern (HR per SD 0.81 (95% CI 0.61–1.08)) and the risk of PD. However, no associations with PD risk were found for the Dutch diet quality score (HR per SD 0.93 (95% CI 0.77–1.12)), the ‘Unhealthy’ pattern (HR per SD 1.05 (95% CI 0.85–1.29)) or the ‘Traditional Dutch’ pattern (HR per SD 0.90 (95% CI 0.69–1.17)). In conclusion, our results corroborate previous findings of a possible protective effect of the Mediterranean diet. Further research is warranted to study the effect of other dietary patterns on PD risk.
Lignin Biopolymer for the Synthesis of Iron Nanoparticles and the Composite Applied for the Removal of Methylene Blue

In the current study, lignin, an abundant natural polymer, was dissolved in ethylene glycol and acidic H2O to form nanoscale lignin. Then, zero-valent iron (ZVI) nanoparticles were synthesized in nanoscale lignin, producing a nZVI/n-lignin composite, via the borohydride reduction method. The use of nZVI/n-lignin for environmental remediation was tested by the removal of methylene blue in aqueous solutions at room temperature. The nZVI/n-lignin composite achieved a higher methylene blue removal ratio than that achieved by traditional nZVIs. Moreover, its excellent dispersibility in water and stability against oxidation in the air were observed. The functions of the nanoscale lignin in the composite material are (1) prevention of further growth and aggregation of the nZVI nanoparticles, (2) protection of nZVI from serious oxidation by H2O/O2, and (3) allowing better dispersibility of nZVI in aqueous solutions. These three functions are important for the field applications of nZVI/n-lignin, namely, to travel long distances before making contact with environmental pollutants. The present method for producing nZVI/n-lignin is straightforward, and the combination of nZVI and lignin is an efficient and environmentally friendly material for environmental applications.
Embryonic Valproate Exposure Alters Mesencephalic Dopaminergic Neurons Distribution and Septal Dopaminergic Gene Expression in Domestic Chicks

In recent years, the role of the dopaminergic system in the regulation of social behavior is being progressively outlined, and dysfunctions of the dopaminergic system are increasingly associated with neurodevelopmental disorders, including ASD. To further elucidate the role of the dopaminergic system in ASD, we investigated the effects of embryonic exposure to valproic acid (VPA) on the postnatal development of the mesencephalic DA system in the domestic chick. We found that VPA affected the rostro-caudal distribution of DA neurons, without changing the expression levels of several dopaminergic markers in the mesencephalon. We also investigated a potential consequence of this altered DA neuronal distribution in the septum, a social brain area previously associated to social behaviour in several vertebrate species, describing alterations in the expression of genes linked to DA neurotransmission. These findings support the emerging hypothesis of a role of DA dysfunction in ASD pathogenesis. Together with previous studies showing impairments of early social orienting behaviour, these data also support the use of the domestic chick model to investigate the neurobiological mechanisms involved in early ASD symptoms.
A Robust Framework for MADS Based on DL Techniques on the IoT

Day after day, new types of malware are appearing, renewing, and continuously developing, which makes it difficult to identify and stop them. Some attackers exploit artificial intelligence (AI) to create renewable malware with different signatures that are difficult to detect. Therefore, the performance of the traditional malware detection systems (MDS) and protection mechanisms were weakened so the malware can easily penetrate them. This poses a great risk to security in the internet of things (IoT) environment, which is interconnected and has big and continuous data. Penetrating any of the things in the IoT environment leads to a penetration of the entire IoT network and control different devices on it. Also, the penetration of the IoT environment leads to a violation of users’ privacy, and this may result in many risks, such as obtaining and stealing the user’s credit card information or theft of identity. Therefore, it is necessary to propose a robust framework for a MDS based on DL that has a high ability to detect renewable malware and propose malware Anomaly detection systems (MADS) work as a human mind to solve the problem of security in IoT environments. RoMADS model achieves high results: 99.038% for Accuracy, 99.997% for Detection rate. The experiment results overcome eighteen models of the previous research works related to this field, which proved the effectiveness of RoMADS framework for detecting malware in IoT.
A Small Step, a Giant Leap: Somatic Hypermutation of a Single Amino Acid Leads to Anti-La Autoreactivity

The anti-La mab 312B, which was established by hybridoma technology from human-La transgenic mice after adoptive transfer of anti-human La T cells, immunoprecipitates both native eukaryotic human and murine La protein. Therefore, it represents a true anti-La autoantibody. During maturation, the anti-La mab 312B acquired somatic hypermutations (SHMs) which resulted in the replacement of four aa in the complementarity determining regions (CDR) and seven aa in the framework regions. The recombinant derivative of the anti-La mab 312B in which all the SHMs were corrected to the germline sequence failed to recognize the La antigen. We therefore wanted to learn which SHM(s) is (are) responsible for anti-La autoreactivity. Humanization of the 312B ab by grafting its CDR regions to a human Ig backbone confirms that the CDR sequences are mainly responsible for anti-La autoreactivity. Finally, we identified that a single amino acid replacement (D > Y) in the germline sequence of the CDR3 region of the heavy chain of the anti-La mab 312B is sufficient for anti-La autoreactivity.
Conceptual Design of Service-Based Geospatial Information System

At the present time, geospatial information systems are widely used for diverse spatial related decision-making processes. The power of these systems comes from the ability to relate different information in a spatial context, placing the information at a given reference system, and reaching conclusions about the relationships. Different types of such systems are designed at national, regional and local level considering the objectives of the target projects or purposes of the implementing agencies. Database structures of the systems can be extremely complex or very simple depending upon the functions of the organizations and user requirements. The aim of this study is to describe a conceptual framework and system design related to the service-based geospatial information system in Mongolia.
Bidirectional electrothermal electromagnetic torsional microactuators for large angular motion at dc mode and high frequency resonance mode operation

This paper presents a novel design of a bidirectional torsional micromirror utilizing vertically driven electrothermal electromagnetic silicon beam actuators to generate large angular motion in both static mode and high-frequency resonance mode with low operational voltages. The microactuators are fabricated on a silicon-on-insulator (SOI) wafer using three photo masks in order to form two different thicknesses of single crystal silicon (SCS) device layer and backside cavities. When the driving bias is applied to the device in the static mode operation, four buckle beams placed alongside the torsion bars are subjected to thermal expansion and buckle in the vertical direction generating torsional displacement of the micromirror with respect to two torsion bars, the center of rotation. The direction of buckle is controlled by the Lorentz force caused by the current flowing through the silicon beams to be buckled in the magnetic field applied, enabling the bidirectional motion of the torsional micromirror. At resonance, Lorentz force itself drives the actuator instead of thermal expansion force from the buckle beams. The maximum static angular displacement of the torsional actuator is 13.42° (26.84°, optical angle) under a driving dc voltage of 7.5 V. In the resonance mode operation, the measured angular displacement is 8.22° (16.44°, optical angle) at 10.64 kHz under sinusoidal driving voltages of 0 to 4.4 V.
Leveraging passion for open practice

The ‘OER Engagement Ladder’ developed in a SCORE-funded study by Wild (2012) is a descriptive framework that models progression stages in lecturers’ engagement with use of Open Educational Resources (OER). The framework captures 1) how engagement with OER manifests itself in people’s behaviours and attitudes in various stages of progression from novice to expert users and 2) what factors impinge on a person’s engagement with OER. In this paper we apply the framework retrospectively to the disciplinary context of language teaching. This exercise has two aims. First, we use the framework to assess the degree to which teachers at the Department of Languages, The Open University, UK, have engaged with OER reuse following the introduction of LORO, a departmental open repository of teaching materials for languages. We also reflect on the appropriateness of the support offered to teachers along the way. Second, we assess the usefulness of the framework itself for similar applications in the future.