Miracle-dz/UniFAR-FTUs huggingface dataset:
Using IBMR3 Monoclonal Antibodies for the Detection of the Expression Antigens Profile on 3T3 and HT29 Cancer Cell Line after Analysis

: The detection of several types of cancer is possible by using monoclonal antibody (MAb). Studies have shown that different types of cancer have related specific abnormal proteins, which are identified by MAb. IBMR3 is a MAb which was raised against synthetic peptides that are associated with the selected amino acid sequence of human interleukin-4 receptors. Aims: The aim of this study was to evaluate the effectiveness of specific monoclonal IBMR3 antibodies expression in the cancer cell lines of 3T3 and HT29, in order to recognize specific antigen and make evaluation, using immunoblotting technique which is widely use in this filed. Methods: Protein extracts were extracted from these cancer cell lines and used for western bloat. The Immunoblotting were consequently subjected to densitometry analysis using bio imaging machine. This bio imaging process will facilitate to measure the molecular weights, peak height and raw volume of the protein bands for the 3T3 and HT29 cancer cell lines, which helps in diagnosis of any pathogenic antigen. Results: The bands obtained from bio imaging were exposed on the PVDF membrane. In the 3T3 bio imaging process revealed four bands and molecular weight were 299.58, 87.90, 41.67 and 23.54 KDa. However, bio imaging results for HT29 revealed also four bands with molecular weights: 90.11, 41.31, 23.87 and 20.86 KDa. The results of Peak height densitometry for IBMR3 antigen bands for 3T3 were: 1856.985, 551.769, 394.164, and 216.185. However HT29 peak height results were: 281.544, 101.711. 202.668, 757.213. The raw volume (amount of protein bands of IBMR3 Ag for 3T3) were: 1460168.75, 206078.47, 161406.89, and 219583.16. However HT29 raw volume results were: 110197.11, 76106.84, 98632.59, and 221395.34. Negative protein staining for 3T3 and HT29 cancer cell line bands were done by using mouse IgM serotype. IgM serotype was not indicated that means no specific antigens for negative control IgM. Conclusion: The bio imaging revealed different results of the expression profile in molecular weight, peak height and raw volume between the two cancer cell lines. The results from this study suggest that the IBMR3 antigens were differentially expressed in 3T3 and HT29 and the molecular weight is higher in the 3T3 than HT29 cancer cell lines. In future it will be beneficial to categorize and study the character analysis of the IBMR3 antigen and its prospective role in cancer cells. Cancer Cell Line, and 3T3 (Mouse Fibroblast) Cell Line.
IMAGING STRATEGY IN ACUTE ISCHEMIC STROKE: DIAGNOSTIC CHALLENGE

Stroke is the third leading cause of death and the most common cause of permanent disability among the world population. Imaging plays a central role in assessing this pathology and various techniques can be used to examine brain and its vessels in acute stroke. Angio- and perfusion computer tomography (CT) are widely used due to their high availability worldwide. However, MRI diffusion-weighted imaging (DWI) allows earlier and more accurate detection of ischemia. It is used in conjunction with other sequences, especially with susceptibility-weighted imaging (SWI), 3D-time-of-flight MR angiography (MRA), and contrast- enhanced MRA of supra-aortic arteries (CE-MRA), which allows diagnosing occluded arteries or hemorrhage and localizing thrombosis. By means of non-contrast arterial spin labeling (ASL) perfusion, which is of special interest, it is possible to diagnose ischemic penumbra and suggest prognosis in a noninvasive way. MRI is the most accurate and the most reliable technique for diagnosing ischemic stroke and, in combination with the ASL sequence, for differentiating it from other diseases such as epilepsy and migraine aura. However, CT may be a valuable alternative in case MR is non-available or contraindicated. Acta Medica Medianae 2022;61(1):68-78.
Sports Field Registration via Keypoints-aware Label Condition

We propose a novel deep learning framework for sports field registration. The typical algorithmic flow for sports field registration involves extracting field-specific features (e.g., corners, lines, etc.) from field image and estimating the homography matrix between a 2D field template and the field image using the extracted features. Unlike previous methods that strive to extract sparse field features from field images with uniform appearance, we tackle the problem differently. First, we use a grid of uniformly distributed keypoints as our field-specific features to increase the likelihood of having sufficient field features under various camera poses. Then we formulate the keypoints detection problem as an instance segmentation with dynamic filter learning. In our model, the convolution filters are generated dynamically, conditioned on the field image and associated keypoint identity, thus improving the robustness of prediction results. To extensively evaluate our method, we introduce a new soccer dataset, called TS-WorldCup, with detailed field markings on 3812 time-sequence images from 43 videos of Soccer World Cup 2014 and 2018. The experimental results demonstrate that our method outperforms state-of-the-arts on the TS-WorldCup dataset in both quantitative and qualitative evaluations. Both the code and dataset are available online1.
Building Compact Entity Embeddings Using Wikidata

Representing natural language sentences has always been a challenge in statistical language modelling. Atomic discrete representations of words make it difficult to represent semantically related sentences. Other sentence components such as phrases and named-entities should be recognized and given representations as units instead of individual words. Different entity senses should be assigned different representations regardless the fact that they share identical words. In this paper, we focus on building the vector representations (embeddings) of named-entities from their contexts to facilitate the task of ontology population where named-entities need to be recognized and disambiguated in natural language text. Given a list of target named-entities, Wikidata is used to compensate for the lack of a labelled corpus to build the contexts of all target named-entities as well as all their senses. Description text and semantic relations with other named-entities are considered when building the contexts from Wikidata. To avoid noisy and uninformative features in the embeddings generated from artificially built contexts, we propose a method to build compact entity representations to sharpen entity embeddings by removing irrelevant features and emphasizing the most descriptive ones. An extended version of the Continuous Bag-of-Words model (CBOW) is used to build the joint vector representations of words and named-entities using Wikidata contexts. Each entity context is then represented by a subset of elements that maximizes the chances of keeping the most descriptive features about the target entity. The final entity representations are built by compressing the embeddings of the chosen subset using a deep stacked autoencoders model. Cosine similarity and t-SNE visualisation technique are used to evaluate the final entity vectors. Results show that semantically related entities are clustered near each other in the vector space. Entities that appear in similar contexts are assigned similar compact vector representations based on their contexts.
How Communities of Practice Enable Data Democratization inside the Enterprise

To exploit the full business potential of their data, enterprises seek to empower more employees to work with data – a phenomenon also known as data democratization. In this way, they establish communities to connect and foster the exchange of practice between experts and a growing network of so-called data citizens. In this paper, we suggest studying data democratization from the perspective of communities of practice (CoP). Based on insights from more than 20 companies, we sketch a multilevel landscape composed of the following CoP: CoP focused on developing skills around tools and methods; CoP focused on a specific data object or data domain; and CoP spreading general data awareness. Our findings advance IS literature on the emerging phenomenon of data democratization and highlight the importance of both generic and situated practices as enablers. For practitioners, we provide actionable insights on how CoP can be structured around key data roles.
The Navigation of Arctic Polar Submarines

In September 1931 Sir Hubert Wilkins and Harald Sverdrup made the first attempt to explore the Arctic Ocean by submarine in Wilkins's Nautilus. The Nautilus was the ex-Navy submarine O-12 modified with topside runners to slide against the underside of the sea ice. Seventeen years later the US Navy developed the sonar system necessary for safely piloting a diesel-battery submarine underneath the ice pack and began exploration of ice covered areas. In 1957, with the nuclear-powered Nautilus, the US Navy began exploration far into the Arctic Ocean. Problems were found concerning determination of ship's position, ice avoidance manoeuvres, and surfacing up through ice. Sonar and inertial navigation equipments and operating techniques were developed to solve these problems. Submarines have since sailed to all parts of the Arctic Ocean during all seasons — more than twenty explorations since 1957. The history, problems and interrelationships of the many explorations are described. Dr Lyon's paper was presented at a colloquium on the conquest of the North Pole held in Paris, 7–1 1 November 1983, and organized by the Centre d'Etudes Arctiques by whose permission it is here published. (Throughout the paper miles means nautical miles.)
ADRC-BASED ROBUST DC VOLTAGE CONTROL OF THE GRID-CONNECTED VSC IN DC MICROGRID

This paper presents a robust DC-bus voltage control method for the grid-connected VSC in DC microgrid. The conventional PI-based DC-bus voltage control with feedforward compensation method is generally employed to improve the disturbance rejection performance of the DC-bus voltage control. However, this method is based on a detailed model and maintains the system stability in a limited range of presupposed operation points. Besides, it also requires an additional sensor for the disturbance measurement. In this paper, the active disturbance rejection control (ADRC) method is employed to improve the robustness of DC-bus voltage control of the grid-connected VSC. The proposed ADRC-based DC-bus voltage control method needs minimal knowledge of model information while achieves good control performance than convention PI-based method. In addition, an adaptive gain-based ESO (AGESO) is proposed for the ADRC to solve the trade-off between disturbance rejection and noise suppression capabilities. Finally, simulation results are presented to verify the performance of the proposed method.
Overview of Traffic Sign Detection and Recognition Methods Based on Image Processing

At present, artificial intelligence has been applied in a large number of driverless vehicles. Driverless vehicles have gradually entered the eyes of the public and been accepted by the majority of the public. As a result, the important guarantee of their driving safety has gradually attracted the attention of the public. Road traffic signs as an important representation of road traffic information, traffic signs is mainly contains the driveway speed tip warning prompt lane, lane direction indicator, such as road traffic information, traffic sign recognition system (TSRS) as an important part of intelligent transportation system (ITS), can effectively identify the traffic signs accurately can improve the driving safety. In our work, mainly summarized the research achievements over the years, the scholars and learn from the traditional image processing and depth direction were analyzed, and the challenge for traffic sign detection and recognition and evaluation standard must be summarized, how to make use of the characteristics of traffic signs and effective model to improve enhance the traffic sign detection and recognition system extensibility and robustness, main research direction in the future yes.
Plant evolution driven by symbiotic and pathogenic interactions

During 450 million years of diversification on land, plants and microbes have evolved together. This is reflected in today’s continuum of associations ranging from parasitism to mutualism. Through phylogenetics, cell biology and reverse genetics extending beyond flowering plants into Bryophytes, scientists have started to unravel the genetic basis and evolutionary trajectories of plant-microbe associations. Protection against pathogens and support of beneficial, symbiotic, microorganisms are sustained by a blend of conserved and clade-specific plant mechanisms evolving at different speeds. We propose that symbiosis consistently emerges from the co-option of protection mechanisms and general cell biology principles. Exploring and harnessing the diversity of molecular mechanisms employed in non-flowering plant-microbe interactions may extend the possibilities for engineering symbiosis-competent and pathogen resilient crops. Main text:
Antimicrobial Resistance and Antimicrobial Activity of Staphylococcus lugdunensis Obtained from Two Spanish Hospitals

Staphylococcus lugdunensis is a coagulase-negative-staphylococci (CoNS) that lately has gained special attention in public health as a human pathogen and also as a bacteriocin-producer bacteria. In this study, we characterized 56 S. lugdunensis isolates recovered from human samples in two Spanish hospitals. Antimicrobial susceptibility testing was performed and antimicrobial resistance and virulence genotypes were determined. Antimicrobial activity (AA) production was evaluated by the spot-on-lawn method against 37 indicator bacteria, including multidrug-resistant (MDR) isolates, and the presence of the lugD gene coding for lugdunin bacteriocin was analyzed by PCR. The antibiotic resistance detected was as follows (% resistance/genes detected): penicillin (44.6%/blaZ), oxacillin (1.8%/mecA on SCCmec-V), erythromycin-clindamycin inducible (7.1%/erm(C), msrA), tetracycline (5.3%/tetK), gentamicin and/or tobramycin (3.6%/ant(4′)-Ia, acc(6′)-aph(2″)), and fosfomycin (21.4%). A MDR phenotype was detected in 5% of isolates. Twenty-one of the S. lugdunensis isolates showed susceptibility to all 20 antibiotics tested (37.5%). The screening for AA revealed 23 antimicrobial producer (AP) isolates with relevant inhibition against coagulase-positive-staphylococci (CoPS), including both methicillin-susceptible and –resistant S. aureus. The lugD gene was detected in 84% of the 56 S. lugdunensis isolates. All of the AP S. lugdunensis isolates (n = 23) carried the lugD gene and it was also detected in 24 of the non-AP isolates, suggesting different gene expression levels. One of the AP isolates stood out due to its high antimicrobial activity against more than 70% of the indicator bacteria tested, so it will be further characterized at genomic and proteomic level.
Energy Efficiency Performance in Telecommunication System Development

For extending coverage and increasing capacity in wireless networks, a promising solution is the deployment of heterogenous networks (HetNets). In this network, low power nodes as well as high power nodes coexist. For now, in order to support the next generation (5G) network, various advanced technologies such as massive multi-input (MIMO), cloud radio access networks (C-RAN), and device-to-device (D2D) communications have been suggested as competent candidates. As single technology is unable to fulfill the intended 5G requirements, it is worth investigating the effect of combining multiple technologies in a single system. This research presents a thorough theoretical analysis, conducted in order to evaluate the network performance in various settings where multiple 5G techniques are employed.
Impact of Synchronous Generator Model GENTPJ on System Dynamics

—Multiple dynamic models exist for representing synchronous generators in power system transient stability studies. This paper compares the more recent GENTPJ model with two other widely used models, GENSAL and GENROU. The paper derives each model from the same fundamental machine equations, detailing the different assumptions the respective models make about stator leakage impedance, subtransient saliency, and saturation representation. Then, the impact of these distinct simplifications is shown in simulation results. Because in GENTPJ saturation affects the entire model, while in GENSAL and GENROU it is added only to the transient rotor equations, the effects of saturation are delayed in the older models compared to GENTPJ, especially under conditions of heavy saturation. These differences in model behavior are demonstrated in simulation results on a large real power system.
EFFECT OF INTELLECTUAL CAPITAL ON FIRM VALUE

Modernization has made business competition increasingly fierce, requiring companies to change their business methods to knowledge-based business. This change has resulted in business people being increasingly focused on prioritizing intangible assets as measured by intellectual capital in increasing company value. The goal of this research was to find out the impact of intellectual capital, as measured by VAIC, on firm value, as measured by PBV. The population of this study consists of manufacturing firms listed on the Indonesia Stock Exchange (BEI) between 2017 and 2019. In the study sample, 62 manufacturing companies were selected using the purposive sampling process. Simple linear regression analysis was used in the data analysis methodology. According to the findings of this report, intellectual capital has a significant impact on firm valuation. The implication of the results of this study is that investors will pay more attention to companies that have better intellectual capital. In other words, investors have considered the influence of intellectual property owned by the company in appreciating the market value of a company.
Electricity Load Profile Using Selected Clustering Methods on Residential Electricity Load Profiles

The interest is increasing in contemplative conduct of electricity users in both the housing and retail-zone with the approach of high solution time-sequence capacity requirement data through best metering; drilling this data could be valuable from the computational aspect. One of the trendy facility is clustering, but build upon on the algorithm the solution of the data can have an relevant control on the resulting clusters. This paper shows how suited solution of power capacity portrait affects the quality of the gather process, the texture of cluster participation (profiles exhibiting similar behavior), and the ability of the clustering process. This work uses both raw data from ordinary expenditure data and counterfeit profiles. The rationale for this work is to growth the clustering of electricity load profiles to help categorize user types for charge pattern and switching, fault and fraud find requirement-side manage and power ability measures. The vital for benchmark drilling very large data agree is how small information needs to be used to get a stable conclusion while manage solitude and preservation.
Deferiprone or deferasirox for cardiac siderosis in β thalassemia major (reply)

We thank KM Musallam and Ali T Taher [1][1] to have given us the opportunity to comment on our study more extensively. Firstly, to date, the goal of the physician responsible for the management of thalassemia is to tailor the chelation therapy for each patient according to the iron status in crucial
Effect of integrated nutrient management on growth, yield and nutrients uptake of summer blackgram ( Vigna mungo )

A field experiment on integrated nutrient management practices for augmenting the productivity of summer blackgram (Vigna mungo L.) was carried out in clay loam soil at Research Farm, J.N. K.V. V. , College of Agriculture, Tikamgarh (Madhya Pradesh) during summer 2016 and 2017. The experiment was laid out in randomized block design replicated thrice with ten nutrient management treatments. The results revealed that integration of 100% RDF + Vermicompost @ 1.0 t ha -1 + Rhizobium resulted into significantly greater plant height (52.1 cm), number of primary branches plant -1 (5.9), higher total dry biomass accumulation (20.5 g /plant - 1 )at harvest, maximum leaf area index (3.11) at 45 DAS, number of pods plant -1 (13.3), number of seeds pod -1 (10.5), 1000 seed weight (37.9 g) and seed yield (1170 kg ha -1 ) closely followed by 75% RDF + 1 t vermicompost + Rhizobium treatment. The minimum values of these parameters were recorded under 4 t FYM ha -1 + Rhizobium treatment. Application of 100% RDF + Vermicompost @ 1.0 t ha -1 + Rhizobium also recorded higher N, P and K uptakes by seed (39.6, 4.03 and 9.65 kg ha -1 , respectively) and stover (31.3, 4.29 and 10.2 kg ha -1 , respectively) as well as total uptakes (70.9, 8.32 and 19.9 kg ha -1 , respectively) as compared to rest of treatments. On the other hand, 4 t FYM ha -1 + Rhizobium resulted in lower values of uptake of nutrients by crop.
Extendibility of the Education 5.0 Concept to Zimbabwe’s Secondary School System as Encapsulated in Curriculum Framework 2015-2022

: The issue under scrutiny is the possible nexus between the Curriculum Framework for Primary and Secondary Education for period 2015-2022 and Education 5.0, which currently seems to be in a state of taciturnity as the latter is purported to be germane only to Zimbabwe’s Higher and Tertiary Education system. This article is, thus, informed by the ‘functional curriculum theory’ – a principle which accentuates the ideal of instructional relevance. Hence, this reflection is essentially secondary research whereby the writer reflects on earlier works to do with Education 5.0 as well as the Curriculum Framework 2015-2022 which is presently the principal document on infant, primary and secondary education in Zimbabwe. As emerged from this reflection, there is vivid compatibility between Education 5.0 which is the brainchild of the Ministry of Higher and Tertiary Education, Innovation, Science and Technological Development [MoHTEISTD] and the Curriculum Framework 2015-2022 as the invention of the Ministry of Primary and Secondary Education [MoPSE]. In conclusion, this reflection envisions the possibility of widening the scope of Education 5.0, which is achievable through transferring the Education 5.0 concept to Zimbabwe’s secondary cycle of education. Therefore, if Education 5.0 begins to take root as from secondary school level then its success at higher and tertiary education level is further guaranteed. This article, therefore, recommends that Education 5.0 be extended to secondary school level with a view to brightening its chances of success in stimulating the modernisation, commercialisation and industrialisation agenda of Zimbabwe . for period 2015-2022 [herein Government of Zimbabwe