Miracle-dz/UniFAR-FTUs huggingface dataset:
The Yellow Fever Virus Vaccine Induces a Broad and Polyfunctional Human Memory CD8+ T Cell Response1

The live yellow fever vaccine (YF-17D) offers a unique opportunity to study memory CD8+ T cell differentiation in humans following an acute viral infection. We have performed a comprehensive analysis of the virus-specific CD8+ T cell response using overlapping peptides spanning the entire viral genome. Our results showed that the YF-17D vaccine induces a broad CD8+ T cell response targeting several epitopes within each viral protein. We identified a dominant HLA-A2-restricted epitope in the NS4B protein and used tetramers specific for this epitope to track the CD8+ T cell response over a 2 year period. This longitudinal analysis showed the following. 1) Memory CD8+ T cells appear to pass through an effector phase and then gradually down-regulate expression of activation markers and effector molecules. 2) This effector phase was characterized by down-regulation of CD127, Bcl-2, CCR7, and CD45RA and was followed by a substantial contraction resulting in a pool of memory T cells that re-expressed CD127, Bcl-2, and CD45RA. 3) These memory cells were polyfunctional in terms of degranulation and production of the cytokines IFN-γ, TNF-α, IL-2, and MIP-1β. 4) The YF-17D-specific memory CD8+ T cells had a phenotype (CCR7−CD45RA+) that is typically associated with terminally differentiated cells with limited proliferative capacity (TEMRA). However, these cells exhibited robust proliferative potential showing that expression of CD45RA may not always associate with terminal differentiation and, in fact, may be an indicator of highly functional memory CD8+ T cells generated after acute viral infections.
Direct Voltage-Selection Based Model Predictive Direct Speed Control for PMSM Drives Without Weighting Factor

To reduce the computation burden and eliminate the weighting factor in conventional speed prediction control, a direct voltage-vector selection-based model-predictive direct-speed control (MP-DSC) method is proposed in this paper. An extended sliding-mode load–torque observer is designed to observe the motor speed and the load torque, which improves the robustness of the system and reduces the influence of measurement noise. Then, the reference voltage vector that includes the system speed and current information is predicted based on the deadbeat control principle. This reference voltage vector is used to construct a cost function, which only includes the error between the reference voltage vector and the candidate voltage vector. Thus, the weighting factor in conventional MP-DSC method is avoided in the proposed method. In addition, a voltage-vector selection method is developed to quickly determine candidate voltage vectors and to ensure the current does not exceed current limit. Finally, the proposed MP-DSC method is experimentally compared with a model-predictive torque and speed control.
Decolonizing with data: The cliometric turn in African economic history

Our understanding of Africa’s economic past – the causes and consequences of precolonial polities, the slave trade, state formation, the Scramble for Africa, European settlement, and independence – has improved markedly over the last two decades. Much of this is the result of the cliometric turn in African economic history, what some have called a ‘renaissance’. Whilst acknowledging that cliometrics is not new to African history, this chapter examines the major recent contributions, noting their methodological advances and dividing them into four broad themes: persistence of deep traits, slavery, colonialism and independence. We conclude with a brief bibliometric exercise, noting the lack of Africans working at the frontier of African cliometrics.
Generation Agricultural Statistics Mesh Data Using Digital National Land Information

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Work Environment on Job Satisfaction with mediating effect of Motivation among School Teachers in Lahore, Pakistan

—This study was aimed to assess the relationship between work environment, motivation and job satisfaction in private school teachers of Standardized questionnaires were used to collect the data from 300 private school’s teachers. The data was analyzed through SPSS by using correlation, principle component analysis and multiple regression. The results indicates that there is a positive relationship between work environment and job satisfaction in school teachers. Result showed that there is a significantly positive impact of Work Environment on Motivation and there is also a positive influence of Motivation 1 on Job Satisfaction. Results indicate that Motivation partially mediates between Work Environment and Job Satisfaction of school teachers in Lahore, Pakistan.
Behavioral Integrity, Mentoring Behavior, and Interpersonal Citizenship Behavior*

Organizational citizenship behavior (OCB) has been recognized as a significant factor determining organizational competitive advantage and success. Researchers have paid increased attention to OCB. This study focused on interpersonal citizenship behavior (ICB), an important form of OCB. Specifically, we examined the effects of manager’s behavioral integrity and mentoring behavior, i.e., vocational support, psychological support, and role modeling, on employee’s ICB. The results showed the positive relationship between manager’s behavioral integrity and employee’s ICBs, and also the positive relationship between vocational support and follower’s ICB-person focused. Furthermore, the results provided partial support for the interaction effects of behavioral integrity and psychosocial support on ICB-person focused. In addition, there was the interaction effects of behavioral integrity and role modeling on both ICB-person focused and ICB-task focused. Limitations and future research directions are discussed.
A COMPREHENSIVE DATA SET FOR NETWORK INTRUSION DETECTION SYSTEMS

With the event of the net, cyber-attacks area unit ever-changing chop-chop and also the cyber security state of affairs isn't optimistic. Machine Learning (ML) and Deep Learning (DL) strategies for network analysis of intrusion detection and provides a quick tutorial description of every ML/DL technique. Paper representing every technique were indexed, read, and summarized supported their temporal or thermal correlations. as a result of knowledge area unit therefore vital in ML/DL strategies, they describe a number of the normally used network datasets utilized in ML/DL, discuss the challenges of victimisation ML/DL for cyber security and supply suggestions for analysis directions. The KDD knowledge set may be a well-known benchmark within the analysis of Intrusion Detection techniques. loads of labor goes on for the development of intrusion detection methods whereas the analysis on {the knowledge the info the information} used for coaching and testing the detection model is equally of prime concern as a result of higher data quality will improve offline intrusion detection. This project presents the analysis of KDD knowledge set with relevance four categories that area unit Basic, Content, Traffic and Host during which all knowledge attributes may be classified victimization changed RANDOM FOREST(MRF). The analysis is finished with relevance 2 distinguished analysis metrics, Detection Rate (DR) And warning Rate (FAR) for an Intrusion Detection System (IDS).
Feature‐based detection and classification of moving objects using LiDAR sensor

Detection and classification of moving objects is essential for autonomous driving. To tackle this problem, this paper proposes an object classification method at detection level using a single LiDAR sensor. The aim is to extract and classify all the moving vehicles, bicyclists, and pedestrians in front of the sensor. First, the point clouds are segmented to produce distinct groups of points representing different objects, where the line segments are extracted. A segmentation combination strategy is conducted to address the over-segmentation caused by occlusion. Then, considering the object geometry and reflection intensity, several features for classification are defined and extracted from different hand-labelled object classes. Reference ranges of all the features are generated on a set of experiment samples. Finally, the object class can be decided by checking if its features match with the existing feature reference ranges of a certain class. The proposed method was evaluated using datasets gathered by the vehicle demonstrator, and the experiment results show considerable improvement of classification performance compared to an existing object classification method based on the object matching framework.
Prediction and Abnormality Assertion on Emu Brake Pad Based on Multivariate Integrated Random Walk

To better solve the issue with abnormal failure of electric motor unit (EMU) brake pad resulted from various random factors in the ever-changing operating environment, in this paper, a new evaluation method of performance prediction and abnormity decision is proposed based on the Multivariate integrated random walk (MIRW) model. In this method, the state space model of the EMU brake pad performance degradation is firstly established. And then based on the observed data, the brake pad performance degradation trend is extracted by the fixed interval forward - backward smoothing algorithm. Based on it, the future degradation state can be predicted by Kalman predictor. Based on the obtained state estimation values, abnormal failure tolerance range (AFTR) can be determined applying Grubbs criterion to judge whether the brake pad is being in abnormal state before reaching the final failure or not as a new sample appears. In addition, the cumulative failure probability of the brake pad is estimated in the degradation process. Finally, the thickness data of a certain type of EMU brake pad is applied to predict the future degradation state and determine the abnormal condition, and the result shows that the proposed method is more efficient and accurate.
BIROn - Birkbeck Institutional Research Online Development of Comprehensibility and its Linguistic Correlates: A Longitudinal Study Video-Mediated

This study examined whether 30 learners of Japanese in the United States who engaged in a semester-long video-based eTandem course made gains in global language comprehensibility, that is, ease of understanding (Derwing & Munro, 2009), and what linguistic correlates contributed to these gains. Speech excerpts from Week 2 and 8 of tandem interactions were retrieved and later assessed subjectively and objectively for global comprehensibility and its linguistic correlates (lexical appropriateness, lexical richness, speech rate, and morphological accuracy) in a pre/posttest sample design. The results revealed that, although the group made significant gains in vocabulary and some gains in grammar, improvement in overall comprehensibility was subject to considerable individual variability. According to a follow-up cluster analysis and discriminant analysis, increase in speech rate was the strongest predictor of those individuals who improved comprehensibility. The findings suggest that telecollaborative interaction may promote the development of vocabulary and, to some extent, grammar, but that significant gains in comprehensibility come mostly from the fluency trait of speech rate and may require longer interactional intervention. The findings have implications for the design of telecollaboration that supports second language learning.
Carcinoma in Immunosuppressed Mice Therapeutic Strategy for Hepatocellular IL-12 Gene Therapy Is an Effective

Immunosuppressive therapy for organ transplantation is essential for controlling rejection. When liver transplantation is performed as a therapy for hepatocellular carcinoma (HCC), recurrent HCC is one of the most fatal complications. In this study, we show that intratumoral murine IL-12 (mIL-12) gene therapy has the potential to be an effective treatment for malignancies under immunosuppression. C3H mice (H-2 k ), injected with FK506 (3 mg/kg) i.p., were s.c. implanted with 2.5 (cid:1) 10 6 MH134 cells (H-2 k ) and we treated the established HCC with electroporation-mediated gene therapy using mIL-12 plasmid DNA. Intratumoral gene transfer of mIL-12 elevated intratumoral mIL-12, IFN- (cid:2) , and IFN- (cid:2) -inducible protein-10, signiﬁcantly reduced the number of microvessels and inhibited the growth of HCC, compared with HCC-transferred control pCAGGS plasmid. The inhibition of tumor growth in immunosuppressed mice was comparable with that of mIL-12 gene therapy in immunocompetent mice. Intratumoral mIL-12 gene therapy enhanced lymphocytic inﬁltration into the tumor and elicited the MH134-speciﬁc CTL response even under FK506. The dose of FK506 was sufﬁcient to prevent the rejection of distant allogenic skin grafts (BALB/c mice, H-2 d ) and tumors, B7-p815 (H-2 d ) used as transplants, during mIL-12 gene therapy against MH134. Ab-mediated depletion studies suggested that the inhibition of tumor growth, neovascularization, and spontaneous lung metastasis by mIL-12 was dependent almost entirely on NK cells and partially on T cells. These results suggest that intratumoral mIL-12 gene therapy is a potent effective strategy not only to treat recurrences of HCC in liver transplantation, but also to treat solid malignant tumors in immunosuppressed patients with transplanted organ. The Journal of Immunology, 2004, 173: 6635–6644. end-stage
The Benefits of an Integrated Supply Chain Quality Management

Although both have as referential customer satisfaction, Total Quality Management and Supply Chain Management strategies are rarely applied together, the element that differentiates them is precisely the way of approaching quality within the company or in the entire supply chain. This paper aims at highlighting aspects regarding the application of Total Quality Management principles in the supply chain, analyzing the most common practices in the field of Supply Chain Management and representing the benefits resulting from the integrated approach of these two strategies. the survey responses and the managers’ unwillingness to provide accurate or honest answers. The study revealed several impressive results that require further research. One particular area relates to the customer focus and improving effectiveness in private companies, while public institutions mainly focus on resource management and strategic partnership.
Design of Structured Nonbinary Quasi-Cyclic Low-Density Parity-Check Codes

Since the rediscovery, LDPC codes have attracted a large amount of research efforts. In 1998, nonbinary LDPC codes were firstly investigated and the results showed that they were better than their binary counterparts in performance. Recently, there has been a requirement from the industry to design applied nonbinary LDPC codes. In this dissertation, we firstly propose a novel class of quasi-cyclic (QC) LDPC codes. This class of QC-LDPC codes embraces both linear encoding complexity and excellent compatibility in various degree distributions and nonbinary expansions. We show by simulation results that our proposed QC-LDPC codes perform as well as their comparable counterparts. However, this proposed code structure is more flexible in designing. This feature may show its power when we change the code length and rate adaptively. Furthermore, we present two algorithms to generate codes with short girth and better girth distribution. The two algorithms are designed based on progressive edge growth (PEG) algorithm and they are specifically designed for quasi-cyclic structure. The simulation results show the improvement they have achieved. In this thesis, we also investigate the believe propagation based iterative algorithms for decoding of nonbinary LDPC codes. The algorithms include sum-product (SP) algorithm, SP algorithm using fast Fourier transform, min-sum (MS) algorithm and complexity reduced extended min-sum (EMS) algorithm. In particular, we present the proposed modified min-sum algorithm with threshold filtering which further reduces the computation complexity.
Performance analysis on deep-well centrifugal pump guide vanes based on numerical simulation

In order to improve the performance of deep-well centrifugal pumps, a three dimensional surface type guide vane and a cylindrical guide vane were designed. The two-stage deep-well centrifugal pump equipping with different guide vanes were simulated in FLUENT 6.2 code based on the standard k-E turbulence model. The pump performance and the static pressure distribution in the guide vanes were analyzed and compared. The results indicated that the three-dimensional surface type guide vane had smaller hydraulic loss and higher pressure conversion capacity. Meanwhile, the pump efficiency and single-stage head of the three-dimensional surface type guide vane was higher than that of the traditional cylindrical guide vane at the same operating conditions. This work confirms the feasibility of predict the pump performance by numerical simulation, and provides the reference for the improvement of the guide vane performance.
Treating developmental dyslexia using transcranial stimulation combined with a reading stimulation program: A pilot study

Objective : Evaluate the effect of transcranial direct current stimulation (tDCS) combined with reading therapy on the performance of reading tasks in a serie of cases of children and adolescents with developmental dyslexia (DD). Method : (IRB/UNIFESP number:1281/2017). Four dyslexic students (two children and two adolescents) were evaluated with regards to rate and accuracy of reading fluency on three occasions: pre-intervention as well as one and six months after intervention. The intervention consisted of five consecutive sessions of active tDCS (1 mA for 20 minutes), followed by a two-day interval and another five sessions of tDCS combined with cognitive skills stimulation of phonological processing and decoding of words. Anodal tDCS was administered over the left parieto-occipital cortex, with the cathode placed over contralateral deltoid muscle. Each session was preceded by execution of semantic-lexical and phonological evocation tasks. Data were analyzed using Friedman test and JT method for analysis of clinical significance and the reliable change index. Results : Improvements were found in text reading rate and accuracy and word accuracy at the one-month and six-month evaluation. A significant increase was found in correct reading of words and pseudowords six months after intervention. Most of the improvements were reliable, with clinical significance in some cases. Conclusion: Transcranial direct current stimulation combined with a reading stimulation program proved effective at improving reading skills in these participants.
HR Competencies: Mastery at the Intersection of People and Business

Competence is the state or quality of being adequately and well-qualified and having the ability to perform a specific role. This is, indeed, a simple enough concept to grasp. However, there is a lot more required than the mere understanding of Wikipedia’s definition of competency. In-depth knowledge of the overall organisational operations is the essence. There is today an increasing realisation that Human Resources are the real assets of any organisation on whom its success or failure depends on. Therefore HR professionals are considered the trustees to the real assets of any organization. Hence there is a growing need for competent HR professionals and this is where the need to understand, create and establish HR competency models comes into play.
Risk Assessment of the Adverse Events in Air Transportation

Abstract In the field of security in transport distinguish risks related to flight safety and aviation security. Safety of flights is ensured through the reliability of aviation equipment and the qualification of the personnel who services and operates it, aviation security is a condition of protection from illegal interference in its activity. Risk management in civil aviation in the field of security is a relatively new direction of activity. Deep research in this area began only at the beginning of the XXI century. It is quite difficult to use the existing experience of risk management, accumulated in other spheres, as civil aviation has significant features. Various methods and schemes can be used to assess risks. The article discusses various options for predicting risks using the “event tree” and “risk factor tree” methods.
Compact dual‐band rectenna for RF energy harvest based on a tree‐like antenna

A novel compact dual-band rectenna is presented for efficient radio frequency (RF) energy harvest at 2.45 GHz WiFi and 3.5 GHz WiMAX bands. The proposed rectenna is composed of an optimised tree-like receiving antenna and a compact rectifier based on a two-branch matching network. The tree-like antenna is found to feature a dual-band characteristic, high radiation efficiency, and improved reflection coefficient with the newly designed slotted ground plane. By introducing the matching network which consists of two different radial branches, the proposed antenna is well matched with the rectifying circuit and most part of the received power could be delivered. Besides, in order to eliminate the coupling effects, reduce the energy loss and minimise the overall dimension of the rectenna, three narrow stubs on the ground plane of the antenna are designed to perform as the ground of the rectifier. The results have demonstrated the designed rectenna exhibits relatively stable conversion efficiency for the load value varying from 0.9 to 20 kΩ under low input power and the maximum conversion efficiency is observed to be 60% at 2.45 GHz and 53% at 3.5 GHz under the input power of 0 dBm.
A Statistical Estimate of Errors in the Calculation of Radio-Occultation Bending Angles Caused by a 2D Approximation of Ray Tracing and the Assumption of Spherical Symmetry of the Atmosphere

Atmospheric data from National Centers for Environmental Prediction (NCEP) analyses and orbital parameters from 133 real Global Positioning System (GPS) meteorological data soundings are used to compute the ‘‘true’’ bending angle proﬁles using an accurate 3D ray-tracing procedure. They are then compared with approximate proﬁles obtained using the spherical symmetry assumption and an efﬁcient 2D ray-tracing model. The average fractional error of the bending angles due to the spherical symmetry assumption is less than 0.15%. The average fractional error due to the use of the 2D ray-tracing model is slightly greater than that due to the spherical symmetry assumption. The vertical error correlations due to the spherical symmetry assumption are sharp between 6 and 8 km and broader above and below this layer. The vertical error correlations associated with the 2D forward model show a nearly diagonal structure below 15 km with high correlation conﬁned to a 2-km layer centered at the observation level.