Miracle-dz/UniFAR-FTUs huggingface dataset:
Implementing Experiential Marketing in the Digital Age for a More Sustainable Customer Relationship

We reviewed 58 empirical articles from the last two decades on experiential marketing in the e-commerce context. This literature review seeks to shed light into the fields of experiential and digital marketing, addressing the gaps in experiential aspects that appear during an online shopping session found in the literature. Thus, the paper identifies the elements that create the optimal consumers’ experience together with advantages, challenges, and strategic advice associated with the overall digital experience, an aspect that develops a more sustainable relationship between customers and e-businesses. The findings reveal that the most reported advantage of the overall digital experience is that it provides enhanced satisfaction, an aspect that is crucial for both consumers and online businesses, while some noted that frequent challenges are providing high levels of interactivity and trust. We found several other advantages and challenges of online consumer experience that led to the outlining of the strategic advice for online businesses, all being discussed in detail. The paper addresses a theoretical framework of digital marketing that is relevant for both academics and practitioners, suggestions for future research directions, and key research implications being offered.
Kinematics analysis of pneumatic soft manipulator

A software mechanical grabbing device is designed to deal with space debris. The robotic arm is composed of unit segments of modular design, and the kinematic model of the unit segments of the mechanical arm is established by simplifying it into a cantilever beam model. The relationship among the driving space, joint space, and operation space of the unit section is analyzed, and its kinematics equations are established.
A validated HPTLC method for estimation of eucalyptol in polyherbal formulations.

Amukkara choornam’ is a popular polyherbal Siddha formulation used for gastritis, spleen enlargement, leucorrhoea, hiccup, anemia, tuberculosis and kappa diseases. Eucalyptol in one of the prevalent phytoconstituent present in the ingredients of this formulation. A sensitive, selective and precise thin-layer chromatographic method has been developed and validated for the analysis of eucalyptol in Amukkara choornam. Separation and quantification was achieved by TLC using mobile phase of ethanol-ethyl acetatate (9:2, v/v), (RF 0.38) on precoated silica gel 60F254 aluminium plates and densitometric determination was carried out in reflection/absorption mode at 343 nm. The calibration curve was linear in the concentration range of 4.612ng-55.344ng spot -1. The method was validated for precision, repeatability and accuracy. The proposed method was found to be simple, precise, specific, sensitive and accurate for the quantification of eucalyptol.
Community Detection in Facebook Using Visual Approach and Clustering

The previous decade has seen the growth of interest with networks and participatory social media that have brought users jointly in many originative ways. Many users play, categorize, work and socialize online, showing new forms of cooperation, communication, and cleverness that were hard to imagine just a while ago. Social media refers to the interaction between people who create, share information and ideas in communities and virtual networks. Social media also helps reform business models, influence views and sentiments, and opens many possibilities for studying human interaction and mass conduct on an unprecedented level. This research employs visual representation of data and cluster algorithms for discovering patterns in the Facebook network to learn some of the behaviors practiced by community members. The results can be used to find out users directions to suggest appropriate advertisements for it, and cluster algorithms can be used to collect suspicious and inappropriate communication pages to take the necessary measures to prevent them from appearing to sensitive groups in the community, and the results can also be used to direct Facebook users, especially young groups, to organize their times and control the times they spend on social media.
Evaluation of Memory and Language Network in Children and Adolescents with Visual Impairment: A Combined Functional Connectivity and Voxel-based Morphometry Study

ABSTRACT Functional network changes associated with Braille reading are different in early blind (EB) and late blind (LB) participants. The objectives were to study the functional connectivity (of memory and language areas based on blood oxygen level-dependent [BOLD] mapping) and structural changes in EB and LB children and adolescents. A total of 110 participants (all right-handed) were recruited in two age groups of 6–12 years (children) and 13–19 years (adolescents) consisting of EB (n = 20), LB (n = 20), and sighted controls (SC, n = 15) in each group. Group differences were estimated between children and adolescent groups. Structural changes in visual cortex and medial temporal area, increased BOLD activations and altered functional connectivity in the primary visual cortex, inferior frontal gyrus, middle temporal gyrus, and hippocampus during Braille reading task were observed in adolescents as compared with children blind groups (pFDR corrected <0.05). Functional results were positively correlated with duration of Braille reading and age at onset in EB and LB groups (p ≤ 0.01). Visual, language, and learning memory networks were different in adolescents and children of both EB and LB groups, and also between EB and LB groups suggesting cross-modal plasticity. The functional and structural results revealed education dependent cross-modal plasticity in visually impaired participants. Memory and language network were affected more in the LB group than the EB group, and more in children than adolescents.
Detect the electricity theft event using text CNN

The big data technology has been widely used in power consumption behavior analysis and power user portrait. In this paper, the electricity data is constructed as two-dimensional time-series. Based on the designed data structure, a special kind of Artificial Neural Networks (ANNs) named as text convolutional neural networks (TCNN) is proposed for electricity theft detection. Moreover, considering the imbalance of electricity theft data in realistic datasets, a data augmentation method is proposed. Numerical results obtained on realistic datasets validate the proposed model.
Molecular and conformational properties of comb-like polymers with ionically bound side chains studied in organic solvent

ABSTRACT Conformational and dynamo-optical properties of a homologous series of poly(cetyltrimethylammonium 2-acrylamido-2-methylpropane sulfonates) with molecular masses ranging from 80 to 700 kDa were studied in chloroform solutions by viscometry, dynamic light scattering, sedimentation, and flow birefringence. The Mark–Kuhn–Houwink Equations for this polymer in chloroform were obtained; the values of hydrodynamic diameter and the Kuhn segment length as well as the value of intrinsic anisotropy of polarizability of the monomer unit were defined.
HYBRID SHUFFLED FROG LEAPING ALGORITHM WITH PROBABILITY DISPERSAL METHOD FOR TUMOR DETECTION IN 3D MRI BRAINTUMOR IMAGES

In the medical image study, the brain tumor classification using MRIs is difficult due to the brain’s complicated structure and the high variance in tumor tissues’ position. So, the requirement for useful and specific tumor identification methods is developing for medical recognition and regular medical applications. The conventional brain tumor identification performs anatomical knowledge of irregular tissues in the brain, helping the doctor design approach. The research proposes several techniques for brain tumor identification. This work aims to present brain tumor identification methods based on evolutional intelligence and segmentation. Unusual areas in the brain are identified by using the Expectation-Maximization (EM) algorithm. For segmenting the 3D brain MRI data, this work presents a novel hybrid optimization meta-heuristic called the Shuffled Frog Leaping Algorithm (SFLA) with probability dispersal (i.e., SFLA - Stochastic Diffusion Search (SDS)). The efficacy of the suggested 3D SFLA probability dispersal EM in enhancing the performance of the 3D SFLA tabu EM has been proven by empirical outcomes.
Constructed Governance as Solution to Conflicts in E-Waste Recycling Networks

Electronic waste (e-waste) has become an increasingly pressing problem worldwide because of the increase in the volume of waste, without a corresponding increase in the recycling rate. E-waste recycling models show a low percentage of reuse, at around 17.4% in the world, 11% in Latin America, and 3% in São Paulo City, Brazil. The sources of conflicts relating to e-waste recycling networks are diverse, including asymmetries of objectives, knowledge, ethical values, and culture of sustainability, which indicates the need for a system of regulatory mechanisms. The article’s main proposition is that constructed governance, which is a collective process involving many actors, could be an alternative to e-waste recycling management. The city of São Paulo was chosen to be analyzed. Using an abductive methodology, the data analysis shows a fragmented network, with conflicts of interest among commercial and sustainability objectives, an absence of legal knowledge, and increases in the incorrect disposal of waste. However, initiatives in small groups in Brazil, which can be considered as examples of constructed governance, show a better volume of waste and the transportation of waste material to the right destination. The authors argue that constructed governance could be an efficient tool for e-waste recycling management systems. Besides, the article offers a matrix of indicators that can be used by both researchers and recycling managers.
The Rhizosphere Microbial Community of Tobacco and Its Relationship With The Properties of Leaves and Rhizosphere Soils

BackgroundRhizosphere microbes possess important effects on plant growth and quality. Here we collected tobacco roots and leaf samples from ten places in Yunnan province to investigate the interaction of the rhizosphere microbes, the soil physicochemical characteristics, and the tobacco leaf properties. ResultsA high-throughput sequencing method was used to sequence the V3–V4 region of 16S rRNA genes, and the operational taxonomic units (OTUs) were clustered using QIIME under 97% identity. A total of 4571 OTUs were obtained from the 30 tobacco root samples, and the top three phyla were Proteobacteria, Acidobacteria, and Actinobacteria, while the top three annotated genera were Gp6, Gemmatimonas, and Gp4. Redundancy analysis (RDA) showed that most of the soil physicochemical properties (10 out of 17) had a significant influence on the rhizosphere microbial community. Both correlation analysis and RDA analysis revealed that quick potassium (K) and Acidobacteria_Gp3 had a significant correlation with the tobacco leaf properties. The variance partitioning analysis showed that rhizosphere microbes had a bigger influence on the tobacco leaf properties. ConclusionsOur results showed great differences in the rhizosphere microbial diversity of tobacco and complex interaction among the microbial diversity, soil physicochemical characteristics, and tobacco leaf properties.
Global Cancer Risk From Unregulated Polycyclic Aromatic Hydrocarbons

In assessments of cancer risk from atmospheric polycyclic aromatic hydrocarbons (PAHs), scientists and regulators rarely consider the complex mixture of emitted compounds and degradation products, and they often represent the entire mixture using a single emitted compound—benzo[a]pyrene. Here, we show that benzo[a]pyrene is a poor indicator of PAH risk distribution and management: nearly 90% of cancer risk worldwide results from other PAHs, including unregulated degradation products of emitted PAHs. We develop and apply a global‐scale atmospheric model and conduct health impact analyses to estimate human cancer risk from 16 PAHs and several of their N‐PAH degradation products. We find that benzo[a]pyrene is a minor contributor to the total cancer risks of PAHs (11%); the remaining risk comes from other directly emitted PAHs (72%) and N‐PAHs (17%). We show that assessment and policy‐making that relies solely on benzo[a]pyrene exposure provides misleading estimates of risk distribution, the importance of chemical processes, and the prospects for risk mitigation. We conclude that researchers and decision‐makers should consider additional PAHs as well as degradation products.
A Combined Control Strategy Over Full Speed Range of Synchronous Reluctance Motor Considering Iron Loss

For the perspective of efficiency optimization and field-weakening speed expansion, the research on the optimal control scheme of SynRM is of great significance. This paper proposes a novel control strategy combined maximum torque per ampere (MTPA) control with maximum efficiency (ME) control, for fast and efficient performance of SynRM considering iron loss. As the speed exceeds the rated speed, maximum torque per voltage (MTPV) control is proposed to realize deep field-weakening. The proposed approach is determined by operating conditions of the motor which avoids the deterioration of dynamic performance due to the switching. In particular, while the working speed is increasing, the control must be able to drive SynRM under the combined MTPA and ME control at first, and then on the MTPV trajectory. In this paper, the current feedback decoupling current control in the SynRM model including the iron loss is developed to compensate the cross-coupling effect for high dynamic control performance. The proposed control strategy has been successfully implemented and verified via MATLAB/Simulink software of a vector control system in changing status.
ANALYSIS STRATEGIC ENTREPRENEURSHIP MODEL IN BOGOR CITY CULINARY SMEs

The growth of SMEs in Bogor city creates intense competition and requires businesses to be more strategic by utilizing business opportunities and seeking competitive advantage by adopting a strategic entrepreneurial model. The purpose of this study was to identify the management of strategic entrepreneurship in culinary SMEs in Bogor City and analyze the influence between the elements of input, processes, and output of the strategic entrepreneurship model. This research used descriptive analysis and the SEM-PLS method. The implementation of strategic entrepreneurship in Bogor City culinary SMEs has been in an excellent performance. It is based on the average results of each variable more than 3.4, which is categorized as very good. The results of SEM-PLS analysis showed that the environmental factors, organizations, and individuals influenced the orchestration of resources and strategic entrepreneurship affected the output of creating competitive advantage and creating wealth and benefits for individuals, organizations, and society. Keywords: competitive advantage, culinary, opportunities, strategic entrepreneurship, small medium enterprise (SMEs)
How ex-Communist left parties reformed and lost

Abstract In the 1990s, many left-wing parties abandoned their traditional economic policies and adopted more pro-market economic stances. Central and Eastern Europe offers a useful context to explore the impact of these policies on the electoral fortunes of the left-wing parties that adopted them. Although rewarded at first with electoral victories, the adaptation of pro-market positions had a less straightforward impact on the left-wing parties’ electoral fortunes in the long run. CHES data on party positions and ESS survey data on party support show that pro-market left parties obtain reduced support; this effect is particularly pronounced among the economically vulnerable occupational groups. In countries with more pro-market left parties, these groups have a higher propensity to vote for right-wing parties. These findings highlight important parallels between the dynamics of Western and Central and Eastern European party systems.
Radiation hard monolithic CMOS sensors with small electrodes for the HL-LHC and beyond

C. Solans Sanchez,0,∗ P. Allport, I. Asensi Tortajada, D. Bortoletto, C. Buttar, R. Cardella, 5 F. Dachs, V. Dao, H. Denizli, M. Dyndal, L. Flores Sanz de Acedo, P. Freeman, A. Gabrielli, L. Gonella, K. Oyulmaz, H. Pernegger, P. Riedler, H. Sandaker, 5 A. Sharma, W. Snoeys, J. Torres Pais and S. Worm CERN, Switzerland University of Birmingham, United Kingdom Universidad de Valencia, Spain University of Oxford, United Kingdom University of Glasgow, United Kingdom 5 University of Oslo, Norway University of Vienna, Austria Bolu Abant Izzet Baysal University, Turkey DESY (Zeuthen), Germany
Ketamine-Assisted Psychotherapy for PTSD Related to Racial Discrimination

Current research suggests that ketamine-assisted psychotherapy has benefit for the treatment of mental disorders. We report on the results of ketamine-assisted intensive outpatient psychotherapeutic treatment of a client with treatment-resistant, posttraumatic stress disorder (PTSD) as a result of experiences of racism and childhood sexual abuse. The client’s presenting symptoms included hypervigilance, social avoidance, feelings of hopelessness, and intense recollections. These symptoms impacted all areas of daily functioning. Psychoeducation was provided on how untreated intergenerational trauma, compounded by additional traumatic experiences, potentiated the client’s experience of PTSD and subsequent maladaptive coping mechanisms. Ketamine was administered four times over a 13-day span as an off-label, adjunct to psychotherapy. Therapeutic interventions and orientations utilized were mindfulness-based cognitive therapy (MBCT) and functional analytic psychotherapy (FAP). New skills were obtained in helping the client respond effectively to negative self-talk, catastrophic thinking, and feelings of helplessness. Treatment led to a significant reduction in symptoms after completion of the program, with gains maintained 4 months post-treatment. This case study demonstrates the effective use of ketamine as an adjunct to psychotherapy in treatment-resistant PTSD.
Comparison of the Shaping Ability of ProTaper GOLD, WaveOne GOLD, and TruNatomy in Simulated Double-curved Canals

Background: In root canal preparations, it is important to maintain the original canal shape. However, it is difficult to accomplish this, especially due to the complex canal anatomy. This study aimed to compare the shaping ability of the ProTaper GOLD, WaveOne GOLD, and newly developed TruNatomy in simulated S-shaped canals.Materials and methods: The root canals of 60 S-shaped resin blocks were dyed using ink and photographed. The blocks were then randomly divided into three groups: group ProTaper GOLD (n=20), WaveOne GOLD (n=20), and TruNatomy (n=20). The simulated canals were instrumented according to the NiTi file system and photographed again after being dyed with red ink. The pre- and post-preparation images were superimposed, and the amount of resin removed from both the mesial and distal sides of the canal measured up to 9 mm from the apical terminus, with a 1 mm increment. The preparation time was also calculated. A paired t-test was used to determine the degree of deviation at different levels within the groups. To compare the degree of transportation at different levels between the groups, one-way ANOVA and Kruskal-Wallis tests were performed according to the normality. Results: TruNatomy showed a significant deviation between the mesial and distal sides of the canal only in the coronal area at 6, 7, 8, and 9 mm levels of the canal (p < 0.05). When comparing the amount of transportation in the 3 groups at 9 different levels, TruNatomy showed significantly less canal transportation than the other groups at the 3, 5, and 6 mm levels of the canal (p < 0.05), while ProTaper GOLD showed the largest amount of transportation in the apical curved area at the 2 and 3 mm levels (p < 0.05). TruNatomy removed less resin than other groups in all sections (p < 0.05), while ProTaper GOLD removed slightly more resin than WaveOne GOLD; however, there was no significant difference (p=0.043). Shaping time was the least for TruNatomy, followed by the WaveOne GOLD and ProTaper GOLD (p < 0.05). Conclusions: TruNatomy maintained the original canal curvature in S-shaped curved canals better than ProTaper GOLD and WaveOne GOLD.
Analysis of heat transfer enhancement in microchannel by varying the height of pin fins at upstream and downstream region

In this study, a numerical analysis of a microchannel with the different configuration of varying height of pin fins entrenched at the bottom of the channel base wall has been carried out. Five different configurations of pin fins arrangement which are considered in this study are, Case 1(Full length fins in complete microchannel), Case 2(Full length fins at the upstream), Case 3(Full length fins at the downstream), Case 4(Full length fin at the center of microchannel), Case 5(Full length fins at the inlet and exit of microchannel) and the results of these five cases are compared with the plain rectangular microchannel. In this investigation, deionized ultra-filtered water is used and Reynold’s number is ranging from 150 to 350. Results reveals that the highest Nusselt number is achieved by case 2 at a lesser value of Reynold’s number while by case 5 at higher Reynold’s number and the lowest pressure drop is occurring in case 4. The overall thermal performance of case 2 beats the corresponding cases.
From sofa to frontline: The digital mediation and domestication of warfare

Much attention has been dedicated to how digital platforms change the nature of modern conflict. However, less has been paid to how the changes in the nature of warfare affect everyday lives. This article examines how digital mediation allows a convergence of the domestic environment and the battlefield by offering new ways for participation in warfare. It contributes to the discussion of how new participatory affordances change the nature of conflicts and whether they empower users or offer institutional actors more control over users. To this end, this research explores the transformation of domestic spaces, mediated via memes, as digital artefacts of participatory culture (see Confronting the Challenges of Participatory Culture: Media Education for the 21st Century, 2009, by Henry Jenkins). Building on the notion of domestication (see Domesticating the Revolution: Information and Communication Technologies and Everyday Life, 1993, by Roger Silverstone), the article conducts a discursive analysis of memes referring to the notion of ‘sofa warfare’ – an ironic description of internet users taking part in conflict without leaving their own sofas – in the context of the Russia–Ukraine conflict.
Effects of metacognitive ability and selective attention ability on academic performance of adolescents

The present study investigated the effect of metacognitive ability and selective attention on academic achievement; whether selective attention and metacognitive ability influence a student’s academic achievement and whether all these three variables vary across gender. Three hundred adolescents were selected conveniently and purposively among which 150 were females and another 150 were males. Participant’s metacognitive ability was measured by using a Bangla translated version of Metacognitive Skill Scale (MCT); and selective attention was measured by a Bangla version of the Stroop Color and Word Test (SCWT). Their academic achievement was assessed by their GPA in previous class examination. The results showed that all these variables were significantly correlated with each other. Metacognitive ability and selective attention were the strong predictors of academic achievement. Significant difference in selective attention was also found across gender where females outperformed males. But no significant difference between males and females was found for the metacognitive ability and academic achievement.