Miracle-dz/UniFAR-FTUs huggingface dataset:
Key activities of digital business transformation process

Background: Digital transformation is by itself a fragmented area, due to different perspectives encountered in the literature. The research problem addressed in this paper is a general lack of consent on the content of digital transformation and the lack of a comprehensive framework for implementing digital transformation initiatives. Purpose: The aim of this paper is to identify distinct key activities of digital transformation through a systematic literature review, and in doing so contribute to defining the scope of digital transformation and the structure of digital transformation as a process. Study design/methodology/approach: This research was conducted by means of a systematic literature review, with the aim to ascertain the general structure of the digital transformation process through identification of its key activities. Finding/conclusions: A total of 19 items were identified as activities of digital transformation, which were subsequently distributed among the 6 distinct stages of the digital transformation process, in an effort to advance the understanding of the notion and the scope of digital transformation through clarification of its content. Limitations/future research: The results of this research should be instrumental for the future research aimed towards developing generic, universal guidelines for companies seeking to embark on digital business transformation journeys.
Theranostic Potential of Adaptive Cold Atmospheric Plasma with Temozolomide to Checkmate Glioblastoma: An In Vitro Study

Simple Summary Glioblastoma (GBM) is an aggressive form of brain cancer. Here, we present a combination therapy of cold atmospheric plasma (CAP) and temozolomide (TMZ) to treat GBM in vitro. We analyze the effects of the co-treatment in two GBM (TMZ-resistant and -sensitive) cell lines. The aim of this study is mainly to sensitize these cells using CAP so that they respond well to TMZ. We further found that the removal of cell culture media after CAP treatment does not affect the sensitivity of CAP to cancer cells but enhances the effects of TMZ. However, it was observed in our study that keeping the CAP-treated media for a shorter time did not significantly inhibit T98G cells. Interestingly, keeping the same plasma-treated media for a longer duration resulted in a decrease in cell viability. On the contrary, TMZ-sensitive cell A172 responded well to the co-treatment. This could be a potential reason for the sensitization of the combination therapy. Abstract Cold atmospheric plasma (CAP) has been used for the treatment of various cancers. The anti-cancer properties of CAP are mainly due to the reactive species generated from it. Here, we analyze the efficacy of CAP in combination with temozolomide (TMZ) in two different human glioblastoma cell lines, T98G and A172, in vitro using various conditions. We also establish an optimized dose of the co-treatment to study potential sensitization in TMZ-resistant cells. The removal of cell culture media after CAP treatment did not affect the sensitivity of CAP to cancer cells. However, keeping the CAP-treated media for a shorter time helped in the slight proliferation of T98G cells, while keeping the same media for longer durations resulted in a decrease in its survivability. This could be a potential reason for the sensitization of the cells in combination treatment. Co-treatment effectively increased the lactate dehydrogenase (LDH) activity, indicating cytotoxicity. Furthermore, apoptosis and caspase-3 activity also significantly increased in both cell lines, implying the anticancer nature of the combination. The microscopic analysis of the cells post-treatment indicated nuclear fragmentation, and caspase activity demonstrated apoptosis. Therefore, a combination treatment of CAP and TMZ may be a potent therapeutic modality to treat glioblastoma. This could also indicate that a pre-treatment with CAP causes the cells to be more sensitive to chemotherapy treatment.
Investigating the determinants of travel mode choice across age classes in Langsa, Indonesia utilizing logit model

There are different preferences in the decision-making process of humans due to stochasticity. Therefore, this study was conducted to investigate the preferences in selecting a particular mode of travel. This involved using discrete choice modeling. The predictive performance of the model was also evaluated with the contribution of each variable to the model. This is useful for stakeholders to evaluate which factors have significant contributions enabling them to adjust policy accordingly. This study made use of surveys which incorporate revealed and stated preferences in the City of Langsa, Aceh, Indonesia to produce 13 variables including trip attributes and socio-demographic characteristics. This study employs tree distinguished models based on age classes within the sample: all-data, old-age class, and young-age class. Seven variables namely trip frequency, willingness to travel frequency, level of education, household transport expenditure, number of family members, travel cost , and travel time exhibit significancy in every model albeit with diverse extents. With negative vectors, travel cost appears to have the greatest magnitude of scale parameter among variables in every model. Furthermore, each model managed to predict the outcome of alternative 1 extremely well, scoring nearly a perfect 100% a piece. However, no model yields a good accuracy rate in predicting alternative 2, with all models scoring below 15%. All models exhibit good overall accuracy rates, correctly predicting in at least 7 out of 10 times.
Analysis of the body composition: a review of methods

Several methods of analysis of body composition have appeared since the initial studies by Behnke cit. Clarys, Martin & Drinkwater (1984) with the objective of establishing indirect methods (in vivo) of determining BC. Today, double-indirect methods have been gaining great acceptance among health professionals due to ease of data collection and lower cost of the equipment. The objective of this study is to review body composition analysis techniques with emphasis on the criterion of scientific authenticity and to conclude which is the ideal method for body composition analysis. After performing the review, we concluded that no single ideal method exists, but that the ideal method is that which is capable of meeting our objectives at a given time with a given population.
Attack detection and mitigation using optimal deep maxout network in cloud computing

Cloud computing is a promising technique and the majority of information technology based services function in this infrastructure, which addresses the need of today's data center. There involve privacy and security problems in the cloud, which affected the utility of the cloud. Various mitigation solutions are developed in existing, in which the attacks continue to elevate in frequency and severity. This calls for a model for addressing the needs of challenging security threats. This article devises novel attack detection and mitigation technology using an optimization‐driven deep learning model. Here, the system comprises five modules, like data, data owner, cloud server, cloud user, and thin provision virtual volume. Here, each entity performs its own operations. The proposed technique includes five stages, namely, authentication phase, data sharing and communication phase, recorded log file creation phase, attack detection phase, and attack mitigation phase. An initial phase is the authentication phase where an authentication protocol is modeled using different mathematical functionalities. Once the authentication is done, the data sharing and communication are initiated for sharing the sensitive data. Thereafter the log file creation phase is initiated for storing the log entries. Then the attack detection is performed utilizing deep maxout network that is tuned by the developed gray wolf political optimizer (GWPO). The GWPO is the integration of gray wolf optimizer (GWO) and political optimizer (PO). Finally, attack mitigation is performed by reducing the data rates of attack nodes. The developed GWPO‐enabled deep maxout network provided improved performance with the highest accuracy of 97.9%, true positive rate of 97.3%, and true negative rate of 97.7%.
Three‐stage transformer‐coupled CMOS power amplifier for millimeter‐wave applications using 130 nm CMOS technology

High‐efficiency and high‐linearity three‐stage transformer‐coupled power amplifier (PA) and power combiner for millimeter‐wave applications using 130 nm CMOS technology are presented in the paper. The suggested PA uses transformer coupled for input, inter‐stage, and output matching networks where the inter‐stage matching inductors are utilized to enhance the RF performance. The proposed power amplifier is composed of three stages: first, driver, and power stages. The first stage operates in a class‐C to improve the efficiency and decrease power dissipated while a class‐AB is used in the driver and power stages to maximize the output power. The proposed PA and power combiner designs are suitable for mm‐wave 5G applications. The coupling transformers, inter‐stage matching inductors, and output combiner are analyzed and designed using Ansoft high‐frequency structure simulator (HFSS) and achieve high‐quality factor and high‐coupling coefficient over the frequency range from 26 to 33 GHz. The proposed three‐stage transformer‐coupled power amplifier covers a frequency band from 26 GHz to 33 GHz with a saturated output power of 13.1 dBm, a peak power added efficiency (PAE) equals 19.1%, and a maximum power gain of 13.25 dB. Whereas the proposed power combiner has a saturated output power of 16.3 dBm, a maximum PAE equals 20.5% and a peak gain of 16.5 dB. The proposed three‐stage transformer‐coupled PA and power combiner consume low power of 65 mW and 128 mW, respectively. Moreover, the adjacent channel power ratios (ACPR) of the proposed PA and power combiner equal −30 dBc and −36 dBc, respectively, for 20 MHz channel bandwidth. Finally, the active areas of the proposed power amplifier and power combiner equal 0.25 mm2 and 0.69 mm2, respectively, while the chip areas are 0.55 mm2 and 1 mm2, respectively.
Etnoecologia caiçara: o conhecimento dos pescadores artesanais sobre aspectos ecológicos da pesca.

Caicara Ethnoecology: artisanal fishermen's knowledge. Through artisanal fishing, the fishermen explore the aquatic environment in a specific manner, maintaining a great diversity of direct interactions with the environment. Guided by this ethnoecological focus, this work had the objective of developing an ethnoichthyological study to obtain information about the diversity of marine ichthyofauna through the artisanal fishermen's knowledge, considering the morphological, ecological and behavioral aspects of fish such as habitat, reproduction and behavior, noting also the similarities between Caicara ethnoknowledge and the scientific literature. This research was developed in the Caicara communities of Barra do Ribeira and Jaire (Iguape), Carijo and Porto Cubatao (Cananeia), and Pedrinhas (Ilha Comprida). A high level of correspondence between the ethnoknowledge and the scientific knowledge was observed, providing therefore one more contribution to the discussion between biodiversity and cultural diversity, and also making a potential contribution to ethnoknowledge for the preservation of biodiversity.
Microstructure and Tribological Properties of Sub-Microcrystalline Carbon Steel Produced by Severe Plastic Deformation

The microstructure, hardness, and sliding wear properties of high-pressure torsion (HPT)-processed pure Fe and S45C carbon steel were comprehensively investigated. The grains of Fe and S45C were significantly refined to the submicron size range using the HPT process, and the grain sizes were found to decrease with an increased number of turns (N). The Vickers hardness of HPT-processed specimens increased with increasing N or with distance from the center (i.e., with an increase in the strain), which is attributed to grain refinement. In addition, the hardness of HPT-processed Fe was saturated with a further increase in the number of turns owing to the saturation of grain refinement. However, saturation with hardening was not observed in the case of S45C and the hardness values of S45C were much higher than those of Fe. The wear amount was considerably reduced by HPT processing for both Fe and S45C. A linear correlation was determined between the specific wear rate and the inverse of hardness, which agrees with the Archard wear equation. The experimental results show that the reduction in the wear of Fe and S45C is considered to be due to hardening by the HPT process.
Anthropomorphism in CSR Endorsement: A Comparative Study on Humanlike vs. Cartoonlike Virtual Influencers’ Climate Change Messaging

Abstract In recent years, a new form of influencer marketing, led by virtual ambassadors has appeared. Motivated by virtual influencers’ (VI) potentials as corporate social responsibility (CSR) messengers, the study (1) compared the persuasive power of VIs with different humanness; and (2) examined how humanness and endorser-CSR fit interplay in affecting source credibility via drawing upon the expectancy violation theory. An online experiment with a two (type of VI: humanlike vs. cartoonlike) × two (endorser-CSR fit: high vs. low) between-subjects design has been conducted via prolific (N = 202). As a result, there was no interaction effect between fit and type of endorser. Further, VIs with higher humanness predicted higher trustworthiness, expertise, and attractiveness. Lastly, higher expertise and trustworthiness elicited higher CSR engagement intention. Attractiveness and trustworthiness positively affected brand attitude, as trustworthiness was found to be the strongest predictor and the only mediator to affect both CSR engagement and brand attitude. Delving into what enhances VIs’ persuasiveness and how the subsequent effects influence consumers’ attitudes about the endorsed message reveals the social media marketing potential of VIs to serve as effective communicators between consumers and brands.
Carryover effects of crop thinning and foliar N fertilisation on grape amino N composition

Nitrogen (N) is an essential element for vine development and yield; it is also involved in the winemaking process and significantly affects wine composition. It is therefore essential to control and optimise plant N use to ensure an adequate N composition of the grapes at harvest. An improved understanding of the impact of cultivation practices on plant N metabolism would allow a better orientation of technical choices with the objective of quality and sustainability (i.e., fewer inputs, more efficiency). Our trial focused on the impacts of fertilisation and crop thinning on grape N composition. A wide crop load gradient was set up in a homogeneous plot of Chasselas (Vitis vinifera L.) in an experimental vineyard in Switzerland. Foliar urea was applied at veraison in order to compare it with an unfertilised control. Vine development and grape composition were evaluated over two years, with particular attention to the carryover effects of both fertilisation and crop thinning.Foliar N fertilisation effectively increased the amount of N in grapes at harvest in the same year, but had no impact on grape ripeness or carryover effect on year n + 1. Conversely, crop thinning improved grape maturity by reducing fruit N and C demand. Interestingly, amino N proportions could be distinguished according to crop load, while the global grape N concentration at harvest remained unchanged. Some amino acids were more affected by crop thinning than others. The concentrations of alanine, γ-aminobutyric acid (GABA), serine and threonine were reduced by crop thinning. Crop thinning had a strong carryover effect on year n + 1. The carryover impact of crop thinning on grapes in terms of both maturation index and N composition could be observed at the onset of grape ripening on year n + 1.This experiment highlighted the influence of the previous year’s agricultural practices on grape C and N accumulation before and during the ripening phase. Consequently, the modulation of grape composition at harvest should be considered over two consecutive years. These results will contribute to the improvement of predictive models and sustainable agronomic practices in perennial crops.
Do firms still need to be social? Firm generated content in social media

PurposeThe purpose of this paper is to investigate how firm-generated content (FGC) impacts consumer brand awareness, brand loyalty and electronic word of mouth (eWOM), and how this, in turn, influences consumer purchase intention.Design/methodology/approachIn order to test this conceptual framework, statistical analysis was carried out employing structural equation modelling.FindingsThe findings indicate that FGC has a positive impact on brand awareness, brand loyalty, eWOM and purchase intention. Furthermore, the results reveal that a link exists between consumer eWOM behaviour and brand awareness and loyalty. This study also demonstrates that company communication through Facebook and Instagram has a positive effect on consumer purchase intention. Finally, it has been shown that, regarding eWOM and purchase intention, FGC posted on Instagram has a greater impact on its users than that posted on Facebook.Originality/valueConsumer purchase intention is increasingly impacted by the growing use of social media by companies and marketers. This changing environment has opened up new challenges. However, there is still much work to be done in understanding the full effects of FGC communication, and how this influences consumer brand perception and purchase intention.
The role of macrophages in right ventricular remodeling in experimental pulmonary hypertension

Abstract Right ventricular (RV) failure is the primary cause of death in pulmonary hypertension (PH), but the mechanisms of RV failure are not well understood. We hypothesized macrophages in the RV contribute to the RV response in PH. We induced PH in mice with hypoxia (FiO2 10%) and Schistosoma mansoni exposure, and in rats with SU5416‐hypoxia. We quantified cardiac macrophages in mice using flow cytometry. Parabiosis between congenic CD45.1/. 2 mice or Cx3cr1‐green fluorescent protein and wild‐type mice was used to quantify circulation‐derived macrophages in experimental PH conditions. We administered clodronate liposomes to Sugen hypoxia (SU‐Hx) exposed rats to deplete macrophages and evaluated the effect on the extracellular matrix (ECM) and capillary network in the RV. In hypoxia exposed mice, the overall number of macrophages did not significantly change but two macrophage subpopulations increased. Parabiosis identified populations of RV macrophages that at steady state is derived from the circulation, with one subpopulation that significantly increased with PH stimuli. Clodronate treatment of SU‐Hx rats resulted in a change in the RV ECM, without altering the RV vasculature, and correlated with improved RV function. Populations of RV macrophages increase and contribute to RV remodeling in PH, including through regulation of the RV ECM.
Power Converter Topologies for Grid-Tied Solar Photovoltaic (PV) Powered Electric Vehicles (EVs)—A Comprehensive Review

The transport sector generates a considerable amount of greenhouse gas (GHG) emissions worldwide, especially road transport, which accounts for 95% of the total GHGs. It is commonly known that Electric vehicles (EVs) can significantly reduce GHG emissions. However, with a fossil-fuel-based power generation system, EVs can produce more GHGs and therefore cannot be regarded as purely environmentally friendly. As a result, renewable energy sources (RES) such as photovoltaic (PV) can be integrated into the EV charging infrastructure to improve the sustainability of the transportation system. This paper reviews the state-of-the-art literature on power electronics converter systems, which interface with the utility grid, PV systems, and EVs. Comparisons are made in terms of their topologies, isolation, power and voltage ranges, efficiency, and bi-directional power capability for V2G operation. Specific attention is devoted to bidirectional isolated and non-isolated EV-interfaced converters in non-integrated architectures. A brief description of EV charger types, their power levels, and standards is provided. It is anticipated that the studies and comparisons in this paper would be advantageous as an all-in-one source of information for researchers seeking information related to EV charging infrastructures.
Design, Implementation, and Flight Tests of a Feedback Linearization Controller for Multirotor UAVs

This paper proposes a feedback-linearization-based control algorithm for multirotor unmanned aerial vehicles (UAVs). The feedback linearization scheme is highly efficient for considering nonlinearity between the rotational and translational motion of multirotor UAVs. We also propose a dynamic equation that reflects the aerodynamic effects of the vehicles; the equation’s parameters can be determined through curve fitting using actual flight data. We derive the feedback linearization controller from the proposed dynamic equation, and propose a Luenberger observer to attenuate measurement noises. The proposed algorithm is implemented using our in-house flight control computer, and we describe its implementation in detail. To investigate the performance of the proposed algorithm, we carry out two flight scenarios: the first scenario, an autonomous landing on a moving platform, is a test of maneuverability; the second, picking up and replacing an object, test the algorithm’s accuracy. In these scenarios, the proposed algorithm precisely controls multirotor UAVs, and we confirm that it can be successfully applied to real flight environments.
On the Effect of COVID-19 on Drivers’ Behavior: A Survey Study

COVID-19 had a disruptive effect on the global community. This study looks at the effects that the stringent lockdown measures enacted in March 2020 had on motorists’ driving patterns. In particular, given the greater portability of remote working associated with the drastic decline in personal mobility, it is hypothesized that these may have served as accelerators for distracted and aggressive driving. To answer these questions, an online survey was conducted in which 103 respondents were asked to report on their own and other drivers’ driving behavior. While respondents agreed they drove less frequently, they also indicated that they were not prone to more aggressive driving or engaging in potentially distracting activities whether for work or personal purposes. When asked to report on other motorists’ behavior, however, respondents indicated they had witnessed more aggressive and distracting drivers on the road after March 2020 relative to the time before the pandemic. These findings are reconciled with the existing literature on self-monitoring and self-enhancement bias, and the existing literature on the effect of comparable large-scale, disruptive events on traffic patterns is used to discuss the hypothesis on how driving patterns may change after the pandemic.