Miracle-dz/UniFAR-FTUs huggingface dataset:
Expression of Recombinant Fusion Protein of NDV from Escherichia coli BL-21 C-1b Clone using AccurapidTM Cell-Free Protein Expression System

Newcastle Disease (ND) is an infectious disease that infected poultry caused by Newcastle Disease Virus (NDV). NDV is a virus from family Paramyxoviridae which enveloped, unsegmented single strand (ss) RNA negative sense. Fusion (F) protein is an NDV protein that has an important role in the infection process of NDV to the host cell. F protein of NDV can induce the immune response of the host so that it has the potential to become an NDV vaccine. Recombinant plasmid pBT7-N-His-F has been designed by inserting the F protein-encoding gene of NDV. The inserted gene is an F protein of NDV from a local isolate from Galur, Kulon Progo, Yogyakarta. This study aimed to investigate the in vitro expression of the recombinant F of NDV from recombinant plasmid pBT7-N-His-F NDV from E. coli BL-21 clone C-1b. Samples of recombinant plasmid pBT7-N-His-F NDV showed a DNA fragment in size of 4.642 bp. The DNA fragment was then digested by the EcoRI enzyme to separate the pBT7-N-His vector with the F protein-encoding gene as a DNA insert. Restriction digest generated two DNA fragments in the size of 4.001 bp and 642 bp. The in vitro expression of recombinant F protein was conducted using the AccuRapidTM Cell-free Expression system. The visualization of the expressed recombinant F protein using the SDS-PAGE method showed a recombinant protein fragment in size of 25.6 kDa. The Western blotting on the polyvinyl difluoride (PVDF) membrane showed a recombinant protein fragment in size of 25.6 kDa. The recombinant F protein of NDV was successfully in vitro expressed from clone C-1b of recombinant plasmid pBT7-N-His-FNDV by AccuRapidTM Cell-free protein expression system.
A Landscape of Research on Bus Driver Behavior: Taxonomy, Open Challenges, Motivations, Recommendations, Limitations, and Pathways Solution in Future

Driver behavior is a concerning issue in the area of intelligent transportation system (ITS). Driver behavior is a significant key player in a wide range of unpleasant events during the ride, such as accidents or crashes, traffic congestion, harsh braking, and acceleration/deceleration. Influencing factors of driver behavior have been explored in several studies. It is imperative to investigate these factors in order to provide a comprehensive analysis and to categorize them on the basis of a coherent taxonomy. With that, this study conducted a systematic review on prior studies that focused on bus driver behavior, particularly in the ITS. This study also established a taxonomy on the topic of driver behavior in multiple areas of ITS and their classifications. Different databases, namely ScienceDirect, Web of Science, and IEEE Explore, were utilized to obtain relevant articles from 2008 to 2021 (15 April). Several filtering and scanning stages were performed according to the exclusion/inclusion criteria on all 2,803 articles obtained; however, only 87 articles met the criteria. The final set of articles were categorized into a taxonomy. The first part of the taxonomy focuses on five main factors that influence driver behavior: environmental, demographic, habit, vehicle, and on-road routine factors. The second part of the taxonomy discusses the mapping of data collection methods on the basis of four categories: real-time data collection, survey, simulation, and benchmark. Discussion and analysis were provided to highlight the critical literature gaps on bus driver behavior in the ITS, involving the use of real-time data collection, which is imperative for acquiring highly accurate and sophisticated data. This multi-field systematic review has exposed new research opportunities, motivations, challenges, limitations, and recommendations and highlighted the need for the synergistic integration of interdisciplinary works. Overall, this study presented pathways solution in future direction on the basis of three sequenced phases, namely design, labeling and validation, and machine learning. This study can serve as a guide for future researchers, as it addressed the ambiguities in the ITS-driver behavior domain and provided valuable information on these ITS-driver behavior trends.
Neuroeconomía: una revisión basada en técnicas de mapeo científico

La neuroeconomía es un campo multidisciplinar, que articula los conocimientos de áreas como la Economía, la psicología y la neurociencia, y que estudia el comportamiento cerebral en la toma de decisiones. A través de una revisión de literatura, se presenta la evolución de la investigación en neuroeconomía. Para ello, se emplean técnicas de mapeo científico, apoyadas en herramientas bibliométricas. La búsqueda, se realizó en las bases de datos WoS y Scopus, y la información obtenida fue procesada con las herramientas Bibliometrix y Gephi. Los documentos se clasificaron según su relevancia, en tres categorías: clásicos, estructurales y actuales. Luego, a través de un análisis de co-citaciones y clusterización, se identificaron y analizaron cinco líneas o corrientes de investigación en el área, a saber: elecciones económicas, elección social, consideraciones sobre la neuroeconomía, neurociencia del consumidor y comportamiento y estímulo cerebral. Se concluye con la necesidad de encontrar y estandarizar una metodología de investigación, en la que converjan los criterios para fortalecer los resultados de las investigaciones realizadas, ya que no se pueden desconocer las limitaciones de las metodologías actuales.
Improving the Physical Activity of Breast Cancer Survivors Through Fitness Trackers

Introduction: Increasing physical activity among posttreatment breast cancer survivors is essential, as greater physical activity reduces the relative risk of cancer-specific mortality. This trial examines how a fitness tracker-based intervention changes the physical activity behaviour of inactive posttreatment breast cancer survivors. Methods: Seventeen physically inactive posttreatment breast cancer survivors participated in a randomised cross-over controlled trial. Participants underwent a 12-week intervention of a fitness tracker combined with a behavioural counselling and goal-setting session and 12 weeks of normal activity (control). The primary outcome was the change in physical activity assessed by accelerometry over seven days. Results: The intervention achieved a mean increase of 4.5 min/day of moderate-vigorous physical activity, representative of a small-moderate effect (d = 0.34). Changes in time spent as a proportion of the day in light physical activity (-8.3%) and in sedentary behaviour (7.9%), were both significantly different to baseline (t (16) = 3.522, p < 0.01; t (16) = -3.162, p < 0.01). Conclusion: Interindividual differences in the change of patterns of physical activity behaviour suggest that only for some, fitness trackers can achieve a change in the level of moderate-vigorous physical activity.
Comparative study of the implementation of the Lagrange interpolation algorithm on GPU and CPU using CUDA to compute the density of a material at different temperatures

Graphics Processing Units (GPUs) are microprocessors attached to graphics cards, which are dedicated to the operation of displaying and manipulating graphics data. Currently, such graphics cards (GPUs) occupy all modern graphics cards. In a few years, these microprocessors have become potent tools for massively parallel computing. Such processors are practical instruments that serve in developing several fields like image processing, video and audio encoding and decoding, the resolution of a physical system with one or more unknowns. Their advantages: faster processing and consumption of less energy than the power of the central processing unit (CPU). In this paper, we will define and implement the Lagrange polynomial interpolation method on GPU and CPU to calculate the sodium density at different temperatures Ti using the NVIDIA CUDA C parallel programming model. It can increase computational performance by harnessing the power of the GPU. The objective of this study is to compare the performance of the implementation of the Lagrange interpolation method on CPU and GPU processors and to deduce the efficiency of the use of GPUs for parallel computing.
Territorial mapping to increase soil carbon storage

ABSTRACT The ‘4 per 1000’ initiative aims to increase soil organic carbon stocks to offset carbon dioxide emissions. For a French case study, this graphic offers evidence of the links between carbon stocks and agricultural productions at the territorial level: stocks are positively associated with animal loads, whereas soils with arable crops have much lower stocks despite a higher storage potential. Territorial mapping of both storage capacities and organic resources is needed to optimize soil carbon storage.
Macrocycles of Axially Chiral and Racemic N-Heterocyclic Carbene Silver(I), Gold(I) and Palladium(II) Complexes: Synthesis, Characterization and Computational Structures

In this study, Ag(I), Au(I) and Pd(II) bis -N-hetero-cyclic carbene (NHC) complexes derived from axially chiral R-1,1′-binaphthyl-2,2′-diol (R-BINOL) and racemic biphenyl-2,2′-diol scaffolds have been synthe-sized. The metallation of these bis -imidazolium and bis -triazolium types of ligand precursors of R-BINOL and biphenol unit, viz. (1–4)d has been achieved using standard procedure. The {[L(L′-NHC) 2 ]Ag}Cl-type, chiral (1–2)e and racemic (3–4)e complexes have been obtained by the treatment of ligand with Ag 2 O. Similarly, chiral Pd(II) (1f) and Au(I) (1g) complexes have been synthesized and analysed using spectroscopic techniques. The geometry-optimized structures obtained through the density functional theory display good proximity with the reported X-ray structures of similar type of Ag(I), AAu(I) and Pd(II) complexes.
PHYTOTOXIC ACTIVITY OF MORINGA OLEIFERA LEAF EXTRACT ON GERMINATION AND SEEDLING GROWTH OF TOMATO

The aim of this study was to evaluate the phytotoxic potential of 50% alcoholic crude extract as well as benzene fraction of young leaves of Moringa oleifera Both determine the growth bioassay of seed germination and seedling growth of tomato (Solanum lycopersicon). The crude extract was prepared by cold extraction method and benzene fraction was prepared by hot extraction method with soxhlet assembly. Extraction was carried out with healthy young leaves (in powder form) and organic solvent. Concentrations are used for phytotoxicity assay is 5,10,15,20 and 25mg/ml. Phytotoxicity was done by standard blotter method. The Result exhibited that 5, 10 and 15 mg/ml concentration of extract was non phytotoxic and were further used for in vivo experiments using chambered Thick Paper Glass. The phytotoxic potential of the crude as well as partially purified extract of leaves of Moringa oleifera varied according to concentration and it is called concentration depended inhibitory effect. The greatest inhibitory effect on the seed germination that is 37% in crude extract and 30% in a partially purified extract of 25mg/ml concentration of leaf extract. Equally, 25 mg/ml concentration detected to be toxic against a seedling growth of tomato and demonstrating that the compound responsible for the phytotoxic
Protecting Human Rights in the Light of Industrial Water Pollution: Sri Lankan Law and Obligations under International Law

The rapid decline of the natural environment, its resources, and habitats due to human activities has proven that environmental damage cannot be contained within territorial boundaries. Every State, region and continent is connected in the quest against environmental destruction and every nation has an obligation to ensure that activities within its territorial boundaries do not cause damage to the natural environment it shares with other States. Industrial water pollution has adversely affected the natural resources, environmental sustainability, and the lives of people in Sri Lanka in recent years. It violates the most crucial rights of people, depriving them of a clean and healthy environment, access to health, safe drinking water and even the right to life. In this context, it is important to ascertain the efficacy of the human rights guarantees available in Sri Lanka to fight against excessive levels of water pollution carried out for the sake of economic gain. This article analyzes, therefore, the fundamental rights recognized by the Constitution of Sri Lanka against industrial water pollution. It seeks to ascertain whether fundamental rights guarantees against industrial water pollution in Sri Lanka are in line with internationally accepted human rights standards and emphasizes the necessity of addressing the silence in the Sri Lankan Constitution on the rights to life, environment, health, and water following internationally accepted human rights norms and practices.
Darwin: uma framework de otimização clusterizável

Neste artigo apresentamos Darwin, uma ferramenta de otimização de aplicações a partir do uso de algoritmos meta-heurísticos. A ferramenta dispõe de três otimizações: algoritmo genético, particle swarm e evolução diferencial. Conta também com dois backends para execução, o primeiro focado no uso de um cluster e o segundo no uso de recursos computacionais locais. Utilizou-se o simulador de arquitetura x86 Sniper com o benchmark Parsec, otimizando-se parâmetros de cache, para validar a ferramenta desenvolvida. Ao final, avalia-se que a ferramenta permite a otimização utilizando somente algoritmos de forma simplificada e paralelizável.
Significant enhancement in quantum-dot light emitting device stability via a ZnO:polyethylenimine mixture in the electron transport layer

The effect of adding polyethylenimine (PEI) into the ZnO electron transport layer (ETL) of inverted quantum dot (QD) light emitting devices (QDLEDs) to form a blended ZnO:PEI ETL instead of using it in a separate layer in a bilayer ZnO/PEI ETL is investigated. Results show that while both ZnO/PEI bilayer ETL and ZnO:PEI blended ETL can improve device efficiency by more than 50% compared to QDLEDs with only ZnO, the ZnO:PEI ETL significantly improves device stability, leading to more than 10 times longer device lifetime. Investigations using devices with marking luminescent layers, electron-only devices and delayed electroluminescence measurements show that the ZnO:PEI ETL leads to a deeper penetration of electrons into the hole transport layer (HTL) of the QDLEDs. The results suggest that the stability enhancement may be due to a consequent reduction in hole accumulation at the QD/HTL interface. The findings show that ZnO:PEI ETLs can be used for enhancing both the efficiency and stability of QDLEDs. They also provide new insights into the importance of managing charge distribution in the charge transport layers for realizing high stability QDLEDs and new approaches to achieve that.
ddRAD-seq Reveals Cryptic Phylogeographic Structure and Adaptive Population Differentiation of Hyporhamphus Intermedius in Heterogeneous Environments from China Mainland

BackgroundSpecies differentiation and local adaptation in heterogeneous environments have been getting a large focus but poor knowledge of the mechanism. With widespread in coastal areas and the hyperdiverse freshwater systems in China, Hyporhamphus intermedius is an excellent material for phylogeography and local adaptation research. Here, 156 individuals were sampled in 8 sites from heterogeneous aquatic habitats to comprehend environmental and genetic contributions to phenotypic divergence. Results32,744 SNPs among populations and obvious population differentiation was found by ddRAD-seq among groups from the different watersheds. Population genetic structure was partly geographic, successfully classifying all individuals into three genetic subgroups corresponding to the North, the South and the Plateau Lakes with more migrations within region. Due to the transplant event, the strikingly increasing divergence in a short time indicated the tendency of local differentiation for introduced populations in the Plateau Lakes. Dorsal and anal traits varied widely between the Southern and others, which highlighted previously unrecognized lineages. Furthermore, we inferred the whole population is in response to balancing selection from neutrality test with positive value (Tajima's D=2.773), and demographic history underlay two main split events from the northern ancestral population. Subgroup ranges appear to counterparts to geographic regions with heterogeneous hydrological factors, indicating these features are likely important drivers of diversification.ConclusionsAccordingly, our results revealed that genetic polymorphism and divergence of Hyporhamphus intermedius in heterogeneous environments might be ascribed to a consequence of balancing selection, gene flow at microscales, and the impact of abiotic factors, verifying potentially that genetic differences among populations are the result of both genetic canalization and plastic responses to environmental heterogeneity.
Maximizing User Service Satisfaction for Delay-Sensitive IoT Applications in Edge Computing

The Internet of Things (IoT) technology provisions unprecedented opportunities to evolve the interconnection among human beings. However, the latency brought by unstable wireless networks and computation failures caused by limited resources on IoT devices prevents users from experiencing high efficiency and seamless user experience. To address these shortcomings, the integrated Mobile Edge Computing (MEC) with remote clouds is a promising platform to enable delay-sensitive service provisioning for IoT applications, where edge-clouds (cloudlets) are co-located with wireless access points in the proximity of IoT devices. Thus, computation-intensive and sensing data from IoT devices can be offloaded to the MEC network immediately for processing, and the service response latency can be significantly reduced. In this paper, we first formulate two novel optimization problems for delay-sensitive IoT applications, i.e., the total utility maximization problems under both static and dynamic offloading task request settings, with the aim to maximize the accumulative user satisfaction on the use of the services provided by the MEC, and show the NP-hardness of the defined problems. We then devise efficient approximation and online algorithms with provable performance guarantees for the problems in a special case where the bandwidth capacity constraint is negligible. We also develop efficient heuristic algorithms for the problems with the bandwidth capacity constraint. We finally evaluate the performance of the proposed algorithms through experimental simulations. Experimental results demonstrate that the proposed algorithms are promising in reducing service delays and enhancing user satisfaction, and the proposed algorithms outperform their counterparts by at least 10.8 percent.
Stochastic Geometry-Based Analysis of Cache-Enabled Hybrid Satellite-Aerial-Terrestrial Networks With Non-Orthogonal Multiple Access

Due to the emergence of non-terrestrial platforms with extensive coverage, flexible deployment, and reconfigurable characteristics, the hybrid satellite-aerial-terrestrial networks (HSATNs) can accommodate a great variety of wireless access services in different applications. To effectively reduce the transmission latency and facilitate the frequent update of files with improved spectrum efficiency, we investigate the performance of cache-enabled HSATN, where the user retrieves the required content files from the cache-enabled aerial node (AN) or the satellite with the non-orthogonal multiple access (NOMA) scheme. If the required content files of the user are cached in the AN, the cache-enabled node would serve directly. Otherwise, the user would retrieve the content file from the satellite system, where the satellite system seeks opportunities for proactive content pushing to ANs during the user content delivery phase. Specifically, taking into account the uncertainty of the number and location of ANs, along with the channel fading of terrestrial users, the outage probability and hit probability of the considered network are, respectively, derived based on stochastic geometry. Numerical results unveil the effectiveness of the cache-enabled HSATN with the NOMA scheme and proclaim the influence of key factors on the system performance. The realistic, tractable, and expandable framework, as well as associated methodology, provide both useful guidance and a solid foundation for evolved networks with advanced configurations in the performance of cache-enabled HSATN.
THE EFFECT OF SERVICE FAILURE, RECOVERY EFFORTS, & REGRET ON SWITCHING INTENTION TO AXA MANDIRI LIFE ASSURANCE CUSTOMERS IN SURABAYA

This study aims to analyze the effect of service failure and recovery efforts on switching intention mediated by regret on AXA Mandiri life insurance customers in Surabaya. The sampling technique used is non-probability with purposive sampling. The sample currently used is 150 respondents. The requirements of the respondents in this study are at least 18 years old, domiciled in Surabaya, are customers of AXA Mandiri insurance, and have experienced service failure. The data analysis technique used is SEM with the LISREL program. The results of this study indicate that service failure has a positive and significant effect on regret, but has a negative and insignificant effect on switching intention. Recovery efforts have a negative and insignificant effect on regret and negative and insignificant effect on switching intention. Service failure has a positive and significant effect on switching intention through regret, while recovery efforts has a negative and insignificant effect on switching intention through regret and positive and significant effect on switching intention. Suggestions from researchers for AXA Mandiri Surabaya insurance is that companies need to develop strategies to prevent service failures and apply appropriate and effective recovery efforts so that they can reduce regrets that result in switching intention.
Doing Critical and Creative Research in Adult Education

and Andreas Fejes report on findings from a large-scale bibliographic study conducted on the citation practices within the field of research on adult learning and education. They construct a critical map of the research field based on patterns of citations, theme and concerns to identify dominant players active in the field, and how this is linked to geography, gender and language. This extensive research discloses the hidden assumptions – doxa – and power relations in the scientific field of adult education in a way that allows researchers to situate
Buck–Boost Common Ground Bridgeless PFC (CGBPFC) Rectifies With Positive/Negative Output

This article proposes new common ground bridgeless power factor correction rectifiers suitable for use in any application which requires a positive or negative dc power supply. The main advantage of the proposed rectifiers, compared to previous works, is the provision of the common ground between input and output, which eliminates electromagnetic interference (EMI) associated with high rates of change of voltage and consequently reduces the need for EMI common mode filtering. The converter also provides step-down and step-up operation, and facilitates positive or negative output voltages with a low number of semiconductor devices operating simultaneously. High power factor, acceptable grid-side current quality, and high efficiency are also achieved. Two variants are presented, referred to as type-I and type-II, which offer common ground positive and negative dc voltages, respectively. Closed-loop control of the converters is provided by a dead-beat current controller in the inner loop. Experimental results are presented for a 500-W prototype, operating from 220 and 110 Vrms input to $\pm$48 and $\pm$200 Vdc output. The experimental results demonstrate the capability for step-down and step-up ac-to-dc power conversion with a peak efficiency of 96.8% and 96.6% in the positive and the negative outputs, respectively.