Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of the Performances of Two Aptamers on a Colorimetric Assay for the Quantification of Fumonisin B1

: Fumonisin B1 (FB1), a mycotoxin commonly produced by Fusarium verticillioides and classified as a group 2B hazard, has been identified in various food products; hence, sensitive and rapid analytical detection methods are needed. Since the first reported aptamer (96 nt ssDNA) for the highly specific molecular recognition of FB1, only 30 aptamer-based biosensors have been published. A critical point, yet commonly overlooked during the design of aptasensors, is the selection of the binding buffer. In this work, a colorimetric assay was designed by incubating a folded aptamer with FB1 and the subsequent addition of gold nanoparticles (AuNPs). The changes in the aggregation profile of AuNPs by a 40 nt aptamer and a 96 nt aptamer were tested after the addition of FB1 under different buffer conditions, where the incubation with Tris-HCl and MgCl 2 exhibited the most favorable performances. The assay with the longest aptamer was specific to FB1 and comparable to other aptasensors with a limit of detection (LOD) of 3 ng/mL (A 650/520 ratio). Additionally, the application of asymmetric-flow field-flow fractionation (AF4) with multidetection allowed for the analysis of the peak area ( λ ) and multi-angle light scattering (MALS) with LODs of up to the fg/mL level. These results imply that the main role of FB1 in the functionalization of the whole aptamer sequence not its affinity to the molecule, also by the interaction with the rest of the DNA sequence is not involved in binding the FB1 epitope
Devising a Knowledge Culture

s Purpose: The paper aims to explore the literature on culture facilitating knowledge management (KM) in an organisation. The paper deliberates on various attributes, components, framework and classification of culture that stimulates KM. Design/methodology/approach: A systematic review of peer-reviewed journal articles has been carried out to understand the culture that fosters KM from Pro-Quest, Emerald and EBSCO host. Various attributes, components, framework and classification of culture have been extracted from the literature that impacts KM processes, knowledge assets, Knowledge conversion cycles and types of knowledge sharing. Findings: The literature reveals a positive impact of cultural attributes, components of culture, various cultural frameworks and various classification of culture on KM processes, knowledge assets, knowledge conversion cycles and types of knowledge sharing. Research implications: This paper is an output of extensive literature review studying all the attributes, components, framework and classification of culture that impacts KM. However, it would have been better to go for a precise study deliberating on a particular dimension of culture amongst framework, attributes or classification which impacts a specific KM dimension amongst KM processes, knowledge assets, KM conversion cycle and types of knowledge sharing. Also, a longitudinal study would have given long term data to understand how organisational culture would have influenced KM. Research limitations: This paper is an output of extensive literature review studying all the attributes, components, framework and classification of culture that impacts KM. However, it would have been better to go for a precise study deliberating on a particular dimension of culture amongst framework, attributes or classification which impacts a specific KM dimension amongst KM processes, knowledge assets, KM conversion cycle and types of knowledge sharing. Also, a longitudinal study would have given long term data to understand how organisational culture would have influenced KM. Originality/value: This paper contributes to knowledge culture literature by adding the fact that culture not only affects human resource activities but also plays a prominent role in KM.
RepertoireCD4 Promotes Breadth in the TCR

A diverse population of MHC class II-restricted CD4 lineage T cells develops in mice that lack expression of the CD4 molecule. In this study, we show that the TCR repertoire selected in the absence of CD4 is distinct, but still overlapping in its properties with that selected in the presence of CD4. Immunization of mice lacking CD4 caused the clonal expansion of T cells that showed less breadth in the range of Ag-binding properties exhibited by their TCRs. Speciﬁcally, the CD4-deﬁcient Ag-speciﬁc TCR repertoire was depleted of TCRs that demonstrated low-afﬁnity binding to their ligands. The data thus suggest a key role for CD4 in broadening the TCR repertoire by potentiating productive TCR signaling and clonal expansion in response to the engagement of low-afﬁnity antigenic ligands. The Journal of Immunology, 2001, 167: 4311–4320. extracellular engagement class
The Optimized Anomaly Detection Models Based on an Approach of Dealing with Imbalanced Dataset for Credit Card Fraud Detection

Credit card fraud is a major problem in today’s financial world. It induces severe damage to financial institutions and individuals. There has been an exponential increase in the losses due to fraud in recent years. Hence, effectively detecting fraudulent behavior is of vital importance for either financial institutions or individuals. Since credit fraud events account for a small proportion of all transaction events in real life, the datasets about credit fraud are usually imbalanced. Some common classifiers, such as decision tree and naïve Bayes, are unable to detect fraud. Furthermore, in some cases, traditional strategies for dealing with an imbalanced problem, such as the synthetic minority oversampling technique (SMOTE), are not effective for the fraud detection datasets. To accurately detect fraud behavior, this study uses anomaly detection on imbalanced data, as well as Isolation Forest (IForest) with kernel principal component analysis. A one-class support vector machine (OCSVM) with AdaBoost is used as two models to detect outliers which significantly improves detection accuracy and efficiency. The model achieved 96% accuracy, 100% precision, 96% recall, and 98% F 1 score, respectively. The proposed model is expected to become a helpful tool for finding credit card fraud detection, and the analysis presented in this study will provides useful insights into credit card fraud detection mechanisms.
CD19-Dependent Mechanism Production via a 1 CD86 Regulates IgG

CD86 signals directly in a B cell to activate PI3K and increase the rate of IgG 1 production, without affecting germline transcription. However, the mechanism by which CD86 activates PI3K in a B cell and the relevance of CD86 stimulation in vivo remains unknown. We show that the addition of CD28/Ig to CD40 ligand/IL-4-activated wild-type, but not CD86- or CD19-deﬁcient, B cells increased the level of phosphorylation for Lyn and CD19, as well as the amount of Lyn, Vav, and PI3K that immunoprecipitated with CD19. Adoptive transfer of CD86-deﬁcient B cells and wild-type CD4 (cid:1) T cells into RAG2-deﬁcient mice and immunization with trinitrophenylated keyhole limpet hemocyanin resulted in an IL-4 and germline IgG 1 response equivalent to control mice, but a decrease in serum IgG 1 . Thus, our ﬁndings suggest that CD86 plays a key role in regulating the level of IgG 1 produced in vitro and in vivo, and that Lyn and CD19 may be the signaling intermediates activated by CD86 proximal to PI3K. The Journal of Immunology, 2007, 179: 1516–1523.
The Correlation between Neutrophil CD64, Interleukin-17 (Il-17), Interleukin-10 (Il-10) in Skin Tissue and Neutrophil CD64, Il-17 and Il-10 in Blood Circulation in Erythema Nodosum Leprosum (ENL) Patients

: Erythema nodosum leprosum (ENL) remain major health problem globally. Current pathogenesis of ENL not only involving immune complex, but also neutrophil and cellular immune response. Neutrophil CD64, interleukin-17 (IL-17) and interleukin-10 (IL-10) are mediators that suggested to be involved in regulation of ENL. This study aimed to determine the correlation between neutrophil CD64, IL-17 and IL-10 in skin tissue with neutrophil CD64, IL-17 and IL-10 in blood circulation. This was an analytical observational study with a cross-sectional design which involved 30 patients of multibacillary (MB) type of leprosy patients which underwent ENL. Neutrophil CD64 levels in blood circulation were measured by flow cytometry, while IL-10 and IL-17 levels in the blood circulation with ELISA. Biopsy was performed prior to the examination of neutrophil CD64, IL-17 and IL-10 from skin tissue with immunohistochemistry (IHC). The obtained data were analyzed descriptively and with correlation analysis. The mean of neutrophil CD64, IL-17 and IL-10 in skin tissue was 19.10 ± 5.371, 11.47 ± 5.029 and 6.73 ± 3.039, respectively, while the mean of neutrophil CD 64, IL-17 and IL-10 in circulation was 66.807 ± 14.794, 59.55 ± 36.397 and 186.30 ± 272.974, respectively. No significant correlation was found between IL-17, neutrophil CD64 and IL-10 in skin tissue with IL-17, neutrophil CD64 and IL-10 in blood circulation with significance level of 0.511, 0.186 and 0.401, respectively. There was no correlation between dysregulation of local immunity with systemic immunity in ENL.
INTERNET USAGE IN RELATION TO THE PARENTING STYLES OF THE SECONDARY SCHOOL STUDENTS

: Internet Usage is the prominent feature of 21 st century because Internet Usage has become an integral part of everybody’s life in multiple ways. Even in the field of Education the contributions of Internet are remarkable. Students approach the internet for education but gradually they get lured by the entertaining features of the internet and prefer to use internet for gaming and entertainment purposes than for knowledge purposes. Excessive Internet Use by students of all age groups is a cause of concern for teachers, parents and society at large. The researches have shown that Parents can play an important role in controlling and governing the Internet using behaviour of their children. Therefore the present study has been undertaken to study the relationship between Internet Usage and Parenting Styles and also study the impact of six different parenting styles on the Internet Usage of secondary school students. The study has been conducted on 1000 (500Boys and 500 Girls) selected through stratified random sampling technique from the secondary schools (Class IX and X) of Jalandhar district. The data has been collected through Internet Usage Scale (2016) by Saini and Kaur and Children’s Perception of Parenting Scale (2012) by Pyari and Kalra. The findings related to correlation analysis depicted that Autocratic, Over Demanding, Over Protecting and Rejecting Parenting Style have a significant positive relationship with Internet Usage whereas Accepting and Democratic Parenting Style have a significant negative relationship with Internet Usage of the secondary school students. The findings related to regression analysis depicted that Parenting Styles exert a significant impact on the Internet Usage of the secondary school students. The Autocratic, Over Demanding, Over Protecting and Rejecting Parenting Style exerts a significant positive impact on the Internet Usage of the secondary school students whereas Accepting and Democratic Parenting Style exerts a significant negative impact on the Internet Usage of the secondary school students. It indicates that strict, harsh, warmth less and over controlling attitude of parents encourages the children for excessive non essential use of Internet whereas parental warmth, affection, care, concern and appropriate discipline helps in governing the excessive non essential Internet Usage of their children.
Intelligent Monitoring System Based on Noise-Assisted Multivariate Empirical Mode Decomposition Feature Extraction and Neural Networks

Because of the nonlinearity and nonstationarity in the vibration signals of some rotating machinery, the analysis of these signals using conventional time- or frequency-domain methods has some drawbacks, and the results can be misleading. In this paper, a couple of features derived from multivariate empirical mode decomposition (MEMD) are introduced, which overcomes the shortcomings of the traditional features. A wind turbine gearbox and its bearings are investigated as rotating machinery. In this method, two types of feature structures are extracted from the decomposed signals resulting from the MEMD algorithm, called intrinsic mode function (IMF). The first type of feature vector element is the energy moment of effective IMFs. The other type of vector elements is amplitudes of a signal spectrum at the characteristic frequencies. A correlation factor is used to detect effective IMFs and eliminate the redundant IMFs. Since the basic MEMD algorithm is sensitive to noise, a noise-assisted extension of MEMD, NA-MEMD, is exploited to reduce the effect of noise on the output results. The capability of the proposed feature vector in health condition monitoring of the system is evaluated and compared with traditional features by using a discrimination factor. The proposed feature vector is utilized in the input layer of the classical three-layer backpropagation neural network. The results confirm that these features are appropriate for intelligent fault detection of complex rotating machinery and can diagnose the occurrence of early faults.
Solar PV and Battery Storage Integration System Using Three Level NPC Inverter

In this work, another setup of a three-level neutral point-clipped (NPC) inverter that can incorporate sun powered photovoltaic (PV) with battery stockpiling in a lattice associated framework is proposed. The quality of the proposed topology lies in a novel, expanded unbalance three-level vector tweak strategy that can create the right ac voltage under lopsided dc voltage conditions. This venture shows the plan investigation of the proposed arrangement and the hypothetical structure of the proposed adjustment system. Another control calculation for the proposed framework is additionally introduced keeping in mind the end goal to control the power conveyance between the sun powered PV, battery, and network, which at the same time gives most extreme power point following (MPPT) operation for the sunlight based PV. In this venture fuzzy controller used to lessened the harmonic distortion when contrasted with the PI controller. The viability of the proposed procedure is explored by the recreation of a few situations, including battery accusing and releasing of various levels of sun based light. The reenactment performed in MATLAB/SIMULINK condition.
Smart Water Leakage Detection using Wireless Sensor Networks (SWLD)

This paper focuses on an application of wireless sensor networks for leakage detection in underground water pipes to overcome the problem of water dispersion in water distribution networks. Leakage prevention and breaks identification in water distribution networks are fundamental for an adequate use of natural resources. To address this problem, and simplify the leakage identification process, the authors have designed a wireless network system making use of mobile wireless sensors able to detect breaks and save energy, time and cost with having Smart Water Leakage Detection (SWLD) in pipelines, measure water level in tank and control in pump to turn it on when water level is low. It focuses mainly on two parts: The first part is alarm based on Global System for Mobile technology (GSM) to send Short Message Service (SMS) to the owner. The system is made up of basic components: sensors, GSM module, Arduino, relays to control the device. The second is the controlling part; it uses Android application mobile to control the pump. The result of using the proposed system is improving the efficiency of operation, reducing delay time and cost of maintenance pipelines after leakage detection.
Recent Advances in Multifunctional Hydrogels for the Treatment of Osteomyelitis

Osteomyelitis (OM), a devastating disease caused by microbial infection of bones, remains a major challenge for orthopedic surgeons. Conventional approaches for prevention and treatment of OM are unsatisfactory. Various alternative strategies have been proposed, among which, hydrogel-based strategies have demonstrated potential due to their unique properties, including loadable, implantable, injectable, printable, degradable, and responsive to stimuli. Several protocols, including different hydrogel designs, selection of antimicrobial agent, co-administration of bone morphogenetic protein 2 (BMP 2), and nanoparticles, have been shown to improve the biological properties, including antimicrobial effects, osteo-induction, and controlled drug delivery. In this review, we describe the current and future directions for designing hydrogels and their applications to improve the biological response to OM in vivo.
Yes or No for Mobile Banking Apps: An empirical Investigation of adoption Factors

In this era of Clouds, Banking services have stepped into the new world. From traditional Branch base banking services to Modern online banking Services which include internet Banking, Mobile banking Apps etc. With the emergence of Modern Services there seems a gap between services delivered and adoption by the people. So it is important for the service providers to analyze the gap. This paper tries to examine factors influencing adoption of Mobile Banking Apps. A total of 145 respondents examined through convenient sampling. Through the demographic analysis it is observed that a typical mobile banking user is young literate, female students The Findings further suggest that factors like Social Influence, timeeffectiveness, Simplicity and usefulness acts a major factors that influence the decision for adoption of Mobile banking Apps . Thus , these Factors help service providers to understand the youth intention and to make strategies accordingly to provides maximum inclusion and helps in achieving the mission of Digital India .
Enhancing Anaerobic Digestion of Pulp and Paper Mill Biosludge Using Thermal Treatment in a Bench-Scale System

This study examines the feasibility of using a bench-scale anaerobic digestion (AD) system to treat pulp and paper mill biosludge. Three thermal treatment methods were studied: pretreatment, intermediate treatment and post treatment. Thermal pre-treatment of biosludge resulted in overloading of the bench-scale reactor, causing the pH to drop significantly; this in turn caused reactor acidification. Intermediate thermal treatment of digestate had a positive impact on the digestibility of the biosludge; the specific methane yield increased by 76% and 29% in two separate bench-scale experiments. Post-treatment of digestate followed by further digestion was studied in BMP tests, and it was determined that the final specific methane yield increased by 43%. Overall, anaerobic digestion of pulp and paper mill biosludge has been proven to be successful at the bench-scale level, and thermal posttreatment methods have been shown to be effective at enhancing the digestibility of the
Track-position and vibration control simulation for strut of the Stewart platform

Vibrations inherently generated by on-board disturbance sources degrade the performance of the instruments in an on-orbit spacecraft, which have stringent accuracy requirements. The Stewart platform enables both track-positioning and vibration control. The strut of the Stewart platform is designed as a piezoelectric (PZT) element in series with a voice coil motor (VCM) element and a viscoelastic element. The track-positioning system uses a VCM as the main positioning control driver and a PZT as the positioning compensator. The vibration control system uses the characteristics of struts including active and passive control elements to attenuate the vibration. Simulation results indicate that the Stewart platform with the designed struts has good performance in tracking and vibration attenuation with different interference waves.
Factors Influencing Synthetic Drug Use in Youth – An Experimental Case Study in Thainguyen City

- The situation of synthetic drug use among adolescents is becoming more and more complicated all over the world, especially in developing countries. Clearly identifying the factors affecting the use of synthetic drugs among young people will contribute to helping local authorities come up with reasonable solutions to limit this situation. The article summarizes previous studies on the factors affecting the use of synthetic drugs in young people, thereby building a model for empirical research in Thainguyen city, Vietnam. The initial 22 observed variables, after assessing the reliability, removed 2 variables, and after EFA, 20 left variables converged into 4 groups of factors: Personnel characteristics, family circumstances, social factors, and accessibility to the synthetic drug. Which, Social factors (SF) and Family circumstances (FC) are more effective in the synthetic drug-using decision of young people than other factors, while Accessibility to synthetic drugs (ATD) and Personnel characteristics are more effective in synthetic drug-using behaviours of young people than other factors.
Vers un Filtrage Collaboratif Distribué : le modèle RSB

The term of collaborative filtering [Goldberg, 2000] denotes techniques using the known tastes of a group of users to predict the unknown preference of a new user. The distinctive feature of current collaborative filtering processes is to be centralized. The scientific problems have consisted in finding a way to distribute calculus, in order to provide scale for several ten thousands of people, or then to preserve anonymity of users (personal data remain on client side). The impact of a model combining several existing methods to share out tasks between the server and users terminals is examined in this article. A partnership with the company ASTRA allows to turn to their database and to carry out life-sized tests in order to verify efficiency of proposed solutions.
Population and conservation status of a transboundary group of black snub-nosed monkeys (Rhinopithecus strykeri) between China and Myanmar

We examined the distribution, population, and conservation status of the critically endangered Myanmar or black snub-nosed monkey ( Rhinopithecus strykeri ) via field surveys over 26 months (2019–2021) in the Pianma region of the China-Myanmar border. Contrary to previous reports, we only identified one group in the region, which was a cross-border group occupying a multi-year home range of 51.50–57.02 km². The current group size was much larger (155–160 individuals) than that in 2012–2014 ( ca 100 individuals), and the group appeared to be growing. However, confirmed poaching, mining, and transboundary forest fires on the Myanmar side of the border threaten their survival. Our findings provide the latest information on the distribution and population demography of the imperiled R. strykeri , signifying new hope for population recovery of this rare primate species. We highlight cross-border challenges to their conservation and call for transboundary actions between China and Myanmar to protect R. strykeri . individuals
Web Accessibility and eLearning in India

eLearning is learning utilizing electronic technologies to access educational curriculum outside of a traditional classroom. In most cases, it refers to a course, program or degree delivered completely online. The number of eLearning websites have increased manifold in recent years around the globe. In many countries laws have been laid out to make sure that these websites satisfy web accessibility rules and standards which would make these websites accessible to disabled students also. However, not all websites comply with the web accessibility norms. This paper analyses web accessibility of some eLearning and University websites from India. Accessibility evaluation tools are used in this research to reveal statistics of web accessibility compliance. Paper also discusses accessibility norms laid down by the Indian government. Basic result of this research suggests that many of the Indian eLearning and University web pages have greater room for improvement on web accessibility.