Miracle-dz/UniFAR-FTUs huggingface dataset:
Transition from traditional to digital marketing: a study of evolution of E-marketing in the Indian hotel industry

Purpose The study aims at analyzing the adoption and preference of E-Marketing tools in five-star hotels in India. This paper also explores the scope of artificial intelligence and the challenges with regards to its application. Design/methodology/approach A qualitative approach is adopted for this research, wherein the data has been collected through conducting one on one telephonic interviews (some in questionnaire format) and a roundtable conference with the general managers and marketing communication managers of 30 New Delhi/National Capital Region (NCR) hotels respectively to understand the transition from traditional to digital marketing era and how are they using various social media marketing tools. Findings This study aims to inform how digitalization has benefitted the industry in various aspects and its comparison to the traditional marketing methods. It also discovers the future of artificial intelligence in the Indian hospitality space. Practical implications This study aims to help managerial decision-making in the application of various E-marketing tools and strategies, suggesting the right mix of both traditional and digital marketing platforms. Originality/value Arguably this is one of a kind study, as there has been no such research done specifically aiming at the five-star hotels of the Indian market. The findings will help the industry explore and enhance their digital presence by suggesting the appropriate mix of both traditional and digital approaches and can be used as a good source for further exploring the perspective of digitalization by academicians as well.
New (Iso)Quinolinyl-Pyridine-2,6-dicarboxamide G-Quadruplex Ligands. A Structure-Activity Relationship Study

Quadruplex-interactive small molecules have a wide potential application, not only as drugs but also as sensors of quadruplexes structures. The purpose of this work is the synthesis of analogues of the bis-methylquinolinium-pyridine-2,6-dicarboxamide G4 ligand 360A, to identify relevant structure-activity relationships to apply to the design of other G4-interactive small molecules bearing bis-quinoline or bis-isoquinoline moieties. Thermal denaturation experiments revealed that non-methylated derivatives with a relative 1,4 position between the amide linker and the nitrogen of the quinoline ring are moderate G4 stabilizers, with a preference for the hybrid h-Telo G4. Insertion of a positive charge upon methylation of quinoline/isoquinoline nitrogen increases compounds capacity to selectively stabilize G4s compared to duplex DNA, with a preference for parallel structures. Among these, compounds having a relative 1,3-position between the charged methylquinolinium/isoquinolinium nitrogen and the amide linker are the best G4 stabilizers. More interestingly, these ligands showed different capacities to selectively block DNA polymer-ization in a PCR-stop assay and to induce G4 conformation switches of hybrid h-Telo G4. Mo-lecular dynamic simulations with the parallel k-RAS G4 structure showed that the relative spatial orientation of the two methylated quinoline/isoquinoline rings determines the ligands mode and strength of binding to G4s.
Climate-Smart Agriculture on Small-Scale Farms: A Systematic Literature Review

Overpopulation and climate change are among the greatest challenges the world faces. Climate-smart agriculture (CSA) provides an adequate answer by aiming for higher productivity, resilience, as well as GHG emission reduction. As small-scale farms are the cornerstone of the agricultural sector, especially in developing countries, their greater involvement in climate-related actions is essential. CSA practices seek a higher and more stable income sustainably. This systematic literature review aims to provide an overview of how CSA is realized on small-scale farms, what the major CSA practices applied are, and what factors motivate and hamper higher CSA adoption. Based on 30 selected articles, the major message of the literature is a case/site-specific approach due to the tremendous heterogeneity of small-scale farms. As agricultural production is characterized by high risks and low returns, small-scale farmers must consider the length of the payback period when they decide on any CSA practices. This is the reason smallholdings, who implement any CSA practices, must achieve economic benefits, otherwise, they need to be compensated for providing environmental benefits. Moreover, simpler methods with low labor intensity are often applied. Access to the different financial instruments and inputs, knowledge/education/information, and land use security are the critical factors of the CSA adoption. Furthermore, it is worth mentioning that, unlike off-farm activities/incomes, full-time farming is a serious commitment that positively influences CSA adoption.
Inverted-c ground MIMO antenna for compact UWB applications

A miniaturized four-port polarization diversity ultra-wide band multiple input multiple output (MIMO) antenna is presented in this article. Different structures are combined and excited with the tapered transmission line to obtain a reduced symmetric layout with the orthogonal arrangement in compact size. An inverted-c-shape partial ground plane is used to decouple the antenna elements placed in close proximity which reduced the overall size and improved the matched impedance of the MIMO antenna. Further, impedance bandwidth is improved by etching the slots in the ground plane. The overall dimension of the proposed compact MIMO antenna is 40 × 40 × 1.524 mm3. The measured characteristics of a fabricated prototype on the FR4 laminate well matched with the simulated results. The antenna exhibits a quasi-omnidirectional radiation pattern on the H-plane throughout the operational bandwidth, with isolation greater than 16 dB, low envelope correlation, and gain variation. this antenna can efficiently be usedfor diversity applications and portable devices.
4N donor atoms moiety of transition metal complexes of a Schiff base ligand: Synthesis, characterization and biological activities study

Prepared new Schiff base ligand [H2L] with 4N donor atoms moiety by reacting amine derivative of o-phenylenediamine hydrazide moiety with benzaldehyde. Co(II), Ni(II), Cu(II) and Zn(II) of the new Schiff base were prepared by using a molar ratio of ligand: metal as (1:1). The structure of the Schiff base and the prepared complex was determined by 1H NMR, UV–Vis, IR, Mass spectrometry and molar conductivity. The thermal stability of the complexes had been studied by TGA. The spectral statement displays that the ligand behaves as bidentate ligand. On the basis of the spectral studies, reveal that an octahedral geometry had been assigned for all complexes. The Anti-proliferative effect was screened against human hepatocellular liver carcinoma cell line (HepG2) and antimicrobial activity had been inspected. Result points that complexes demonstrate the increase cytotoxicity in proliferation to cell lines as compared to free ligand.
Inside the black box: A physical basis for the effectiveness of deep generative models of amorphous materials

We have recently demonstrated an effective protocol for the simulation of amorphous molecular configurations using the PixelCNN generative model (J. Phys. Chem. Lett. 2020, 11, 20, 8532). The morphological sampling of amorphous materials via such an autoregressive generation protocol sidesteps the high computational costs associated with simulating amorphous materials at scale, enabling practically unlimited structural sampling based on only small-scale experimental or computational training samples. An important question raised but not rigorously addressed in that report was whether this machine learning approach could be considered a physical simulation in the conventional sense. Here we answer this question by detailing the inner workings of the underlying algorithm that we refer to as the Morphological Autoregression Protocol or MAP.
Using the Kübler-Ross Model of Grief with Post-Traumatic Stress Disorder (PTSD): An Analysis of Manchester by the Sea

People may encounter different stages of grief during the course of bereavement, and not everyone can achieve a positive state of mind. This study intended to analyze how the characters in Manchester by the Sea , mainly Lee Chandler, Patrick Chandler, and Randi, manage their emotional responses when they are facing the loss of a loved one. The study used Elisabeth Kubler-Ross’s five-stage model of grief and post-traumatic stress disorder (PTSD) to analyze how these characters transition through their grief and whether they are likely to suffer from mental illness. Some people, like Randi and Patrick in the film, may recover from bereavement; however, some people, like Lee, may not, eventually becoming afflicted with mental illness or PTSD.
The Effect of Consumer Concern for the Environment, Self-Regulatory Focus and Message Framing on Green Advertising Effectiveness: An Eye Tracking Study

ABSTRACT The aims of the present study were: (a) to analyze the advertising message of renewable energies using eye-tracking technology, based on differences in the level of attention captured according to message valence (positive, neutral and negative) and the message framing; and (b) to evaluate the moderating role of consumers’ level of environmental concern and their self-regulatory focus. The results demonstrate differences in the time taken for low-elaboration stimuli to start to take effect for participants with high and low concern for the environment. It is also found that negative text-based advertisements are the most effective at attracting attention. In general terms, participants with the greatest concern for environmental matters tend to focus more quickly and more frequently on these negative stimuli, which require a greater degree of elaboration. The study also presents interesting recommendations for the development of awareness-raising campaigns about renewable energy.
Ultrawide Voltage Gain Range Microconverter for Integration of Silicon and Thin-Film Photovoltaic Modules in DC Microgrids

The article overviews residential and building-integrated photovoltaic (PV) module types. It demonstrates that existing dc–dc converter technologies do not allow building a universal interface microconverter because of wide dispersion of the parameters. However, the absence of universal microconverters limits the widespread adoption of PV modules despite great benefits for energy-efficient buildings and restrains the deployment of residential PV-based dc microgrids. Based on the design requirements formulated, a new approach utilizing a boost half-bridge front-end inverter and a three-mode reconfigurable rectifier (RR) is proposed. The article describes the operating principle of the derived converter. The RR allows keeping the duty cycle of the input side within a favorable range of acceptable efficiencies. An experimental prototype rated for 360 W was assembled and tested in the entire operating range. The experimental results prove the ultrawide input voltage range of over 1:20 and demonstrate the capability of the proposed concept to interface different PV module types while enabling their shade-tolerant operation.
Hepatotoxicity effects of Methanol extract of Gmelina arborea leaves on liver enzymes marker in Wistar Rats

Liver diseases are a major cause of mortality and morbidity in developing countries. This study aims at determining the hepatotoxicity effects of methanolic-extracts of Gmelina arborea leaves at different concentrations on liver marker enzymes in wistar rats. The experiment was laid out in a complete randomized design (CRD). Fresh leaves of Gmelina arborea from the school environments was collected, dried, grinded and extracted using muslin cloth and methanol. The extract was then placed in the oven at about 38oC for dryness. The extract was administered to five groups of wistar rats orally and twice daily for 21 days at doses of 1000mg/kg, 500mg/kg, 250mg/kg, 125mg/kg and group one control group (wasn’t administered this extract). At the end of every week (7 days) the blood samples were collected through ocular puncture, and biochemical analysis of Serum test (Alanine aminotransferase (ALT), Aspartate aminotransferase (AST), Alkaline phosphatase (ALP) , Total bilirubin (TB) and Conjugated bilirubin (CB) were estimated. There was no mortality observed as a result of administration of this leave extract. Methanol extract of Gmelina arborea did not produce significant differences in the body weight, organ weights and feeding habits between control and treated animals. Pathologically, neither gross abnormalities nor histopathological changes were observed. Methanol extract of Gmelina arborea was found safe in acute and repeated dose toxicity study when tested in wistar rat.
Eye State Identification Based on Discrete Wavelet Transforms

We present a prototype to identify eye states from electroencephalography signals captured from one or two channels. The hardware is based on the integration of low-cost components, while the signal processing algorithms combine discrete wavelet transform and linear discriminant analysis. We consider different parameters: nine different wavelets and two features extraction strategies. A set of experiments performed in real scenarios allows to compare the performance in order to determine a configuration with high accuracy and short response delay.
A Novel Method on Hydrographic Survey Technology Selection Based on the Decision Tree Supervised Learning

Hydrographic survey or seabed mapping plays an important role in achieving better maritime safety, especially in coastal waters. Due to advances in survey technologies, it becomes important to choose well-suited technology for a specific area. Moreover, various technologies have various ranges of equipment and manufacturers, as well as characteristics. Therefore, in this paper, a novel method of a hydrographic survey, i.e., identifying the appropriate technology, has been developed. The method is based on a reduced elimination matrix, decision tree supervised learning, and multicriteria decision methods. The available technologies were: remotely operated underwater vehicle (ROV), unmanned aerial vehicle (UAV), light detection and ranging (LIDAR), autonomous underwater vehicle (AUV), satellite-derived bathymetry (SDB), and multibeam echosounder (MBES), and they are applied as a case study of Kaštela Bay. Results show, considering the specifics of the survey area, that UAV is the best-suited technology to be used for a hydrographic survey. However, some other technologies, such as SDB come close and can be considered an alternative for hydrographic surveys.
Analysis of urban agglomeration structure through spatial network and mobile phone data

Urban agglomeration is an important strategy used to promote economic development and urbanization in China. Understanding the structure of urban agglomeration is therefore essential for policy‐makers and planners. In this study, the Beijing–Tianjin–Hebei urban agglomeration (BTHUG) is explored through a proposed spatial network analytical framework and a large mobile phone data set (over 20 million users). We first construct a weight‐directed spatial interaction network based on an origin–destination matrix derived from the data set. Several network metrics (i.e., degree, strength, the rich‐club coefficient, and the assortativity coefficient) and three selected community detection algorithms (i.e., Infomap, Louvain, and Regionalization) are applied and compared to reveal the structure of the BTHUG. A four‐level hierarchical structure is defined and observed: one global center, two local centers, major cities that have low mobility flow but strong linkages with the three centers, and peripheral cities that have low mobility flow and weak linkages with the three centers. In particular, the results imply that the spatial structure of the BTHUG is over‐dependent on the global center (i.e., Beijing and northern Langfang). Further, ignoring spatial interaction patterns in top‐down administrative planning for urban agglomeration may lead to ineffective integrated development. The implications for BTHUG planning are discussed.
The Effects of Lake Representation on the Regional Hydroclimate in the ECMWF Reanalyses

Lakes are an integral part of the geosphere, but they are challenging to represent in Earth system models which either exclude lakes or prescribe properties without simulating lake dynamics. In ECMWF Interim reanalysis (ERA-Interim), lakes are represented by prescribing lake surface water temperatures (LSWT) from external data sources, while the newer generation ERA5 introduces the FLake parameterization scheme to the modelling system with different LSWT assimilation data sources. This study assesses the performance of these two reanalyses over three regions with the largest lakes in the world (Laurentian Great Lakes, African Great Lakes, and Lake Baikal) to understand the effects of their simulation differences on hydrometeorological variables. We find that differences in lake representation alter the associated hydrological and atmospheric processes and can affect regional hydroclimatic assessments. There are prominent differences in LSWT between the two datasets which influence the simulation of lake-effect snowstorms in the Laurentian winters and lake-land breeze circulation patterns in the African region. Generally, ERA5 has warmer LSWT in all three regions for most months (by 2-12 K) and its evaporation rates are up to twice the magnitudes in ERA-Interim. In the Laurentian lakes, ERA5 has strong biases in LSWT and evaporation magnitudes. Over Lake Baikal and the African Great Lakes, ERA5 LSWT magnitudes are closer to satellite-based datasets, albeit with warm bias (1-4 K), while ERA-Interim underestimates the magnitudes. ERA5 also simulates intense precipitation hotspots in lake proximity that are not visible in ERA-Interim and other observation-based datasets. Despite these limitations, ERA5 improves the simulation of lake-land circulation patterns across the African Great Lakes.
Decolonization and Reconciliation Work in Public Libraries: An Analysis of Strategic Plans

The 2015 Truth and Reconciliation Commission of Canada report provides valuable guidance and critical foundation on decolonization and reconciliation in Canada. Public institutions including universities and libraries have affirmed their commitment towards reconciliation and decolonization by undertaking initiatives and establishing both short- and long-term goals. This research examines strategic plans posted on the organizational websites of nine Canadian public library systems operating in cities with significant Indigenous population. The findings suggest that different library systems made varying levels of explicit and/or implicit commitment towards reconciliation and decolonization.
Participatory Theater Empowers Women: Evidence from India

Domestic violence is common, socially and economically very costly, yet widely accepted in many countries. Can participatory theater—a novel cultural intervention—reduce its occurrence? Through a survey that the authors conducted in 92 villages in West Bengal, India, this paper provides a first large-scale evaluation of participatory theater. By utilizing markers of women’s empowerment, the survey shows that longterm exposure to plays on patriarchy enhances women’s empowerment and reduces spousal abuse by as much as 25 percent. The evidence suggests that such interactive plays, by encouraging its audience to rethink and rescript collective representations of domestic violence and masculinity, trigger durable social change in village communities.
Development of a Backward–Forward Stochastic Particle Tracking Model for Identification of Probable Sedimentation Sources in Open Channel Flow

As reservoirs subject to sedimentation, the dam gradually loses its ability to store water. The identification of the sources of deposited sediments is an effective and efficient means of tackling sedimentation problems. A state-of-the-art Lagrangian stochastic particle tracking model with backward–forward tracking methods is applied to identify the probable source regions of deposited sediments. An influence function is introduced into the models to represent the influence of a particular upstream area on the sediment deposition area. One can then verify if a specific area might be a probable source by cross-checking the values of influence functions calculated backward and forward, respectively. In these models, the probable sources of the deposited sediments are considered to be in a grid instead of at a point for derivation of the values of influence functions. The sediment concentrations in upstream regions must be known a priori to determine the influence functions. In addition, the accuracy of the different types of diffusivity at the water surface is discussed in the study. According to the results of the case study of source identification, the regions with higher sediment concentrations computed by only backward simulations do not necessarily imply a higher likelihood of sources. It is also shown that from the ensemble results when the ensemble mean of the concentration is higher, the ensemble standard deviation of the concentration is also increased.
Theoretical analyses of magnetoelectric effects for magnetostrictive/radial mode piezoelectric transformer composite under dual ac stress and magnetic field modulation

Magnetoelectric (ME) composite based on the converse magnetoelectric (CME) effect is promising for the high sensitivity dc and low-frequency magnetic field detection application, however, the performance is restricted by the stress modulation ability of piezoelectric phases and the narrow bandwidth. This work presents a nonlinear equivalent circuit model to design a new ME composite consisting of magnetostrictive layers/radial mode piezoelectric transformer/magnetostrictive layers under dual ac magnetic field and stress modulation. The theoretical model is based on the nonlinear constitutive relationships of magnetostrictive material, motion equation with imperfect interface condition, and improved ME equivalent circuit. This model cannot only predict the resonant ME effects of electrically modulated ME composite under the dual ac stress and magnetic field drive, but can also predict the conventional CME and mutual inductance effects separately. Specifically, the theoretical prediction indicates that with negligible extra power consumption, the dual modulated ME composite provides higher dc and low-frequency magnetic field sensitivity with frequency conversion method and significantly wider bandwidth compared to the conventional CME effect. Such theoretical predictions are further verified by the experimental results of Metglas/piezoelectric transformer/Metglas and Terfenol-D/piezoelectric transformer/Terfenol-D laminate. The theoretical study plays a guiding role in designing the new ME magnetometer with low power consumption, high sensitivity, and wide bandwidth.