Miracle-dz/UniFAR-FTUs huggingface dataset:
Crystallographic orientation dependence of work function: carbon adsorption on Au surfaces

We investigate the work function (WF) variation of different Au crystallographic surface orientations with carbon atom adsorption. Ab initio calculations within density-functional theory are performed on carbon deposited (100), (110), and (111) gold surfaces. The WF behaviour with carbon coverage for the different surface orientations is explained by the resultant electron charge density distributions. The dynamics of carbon adsorption at sub-to-one- monolayer (ML) coverage depends on the landscape of the potential energy surfaces. At higher ML coverage, because of adsorption saturation, the WF will have weak surface orientation dependence. This systematic study has consequential bearing on studies of electric-field noise emanating from polycrystalline gold ion-trap electrodes that have been largely employed in microfabricated electrodes. GRAPHICAL ABSTRACT
Customers’ evaluation of mechanical artificial intelligence in hospitality services: a study using online reviews analytics

Purpose This paper aims to analyze if and to what extent mechanical artificial intelligence (AI)-embedded in hotel service robots-influences customers’ evaluation of AI-enabled hotel service interactions. This study deploys online reviews (ORs) analytics to understand if the presence of mechanical AI-related text in ORs influences customers’ OR valence across 19 leading international hotels that have integrated mechanical AI – in the guise of service robots – into their operations. Design/methodology/approach First, the authors identified the 19 leading hotels across three continents that have pioneered the adoption of service robots. Second, by deploying big data techniques, the authors gathered the entire population of ORs hosted on TripAdvisor (almost 50,000 ORs) and generated OR analytics. Subsequently, the authors used ordered logistic regressions analyses to understand if and to what extent AI-enabled hospitality service interactions are evaluated by service customers. Findings The presence of mechanical AI-related text (text related to service robots) in ORs influences positively electronic word-of-mouth (e-WOM) valence. Hotel guests writing ORs explicitly mentioning their interactions with the service robots are more prone to associate high online ratings to their ORs. The presence of the robot’s proper name (e.g., Alina, Wally) in the OR moderates positively the positive effect of mechanical AI-related text on ORs ratings. Research limitations/implications Hospitality practitioners should evaluate the possibility to introduce service robots into their operations and develop tailored strategies to name their robots (such as using human-like and short names). Moreover, hotel managers should communicate more explicitly their initiatives and investments in AI, monitor AI-related e-WOM and invest in educating their non-tech-savvy customers to understand and appreciate AI technology. Platform developers might create a robotic tag to be attached to ORs mentioning service robots to signal the presence of this specific element and might design and develop an additional service attribute that might be tentatively named “service robots. ” Originality/value The current study represents the first attempt to understand if and to what extent mechanical AI in the guise of hotel service robots influences customers’ evaluation of AI-enabled hospitality service interactions.
Examination of Combustion-Generated Smoke Particles from Biomass at Source: Relation to Atmospheric Light Absorption

ABSTRACT The formation of carbonaceous aerosols from biomass combustion is associated with a high degree of uncertainty in global climate models. In this work, soot samples were generated from the combustion of pine wood, wheat straw and barley straw in a fixed bed stove; as well as from the combustion of biomass pyrolysis model compounds. Samples were collected on filters, which were used for the determination of Absorption Angstrom Exponent (AAE). In addition, the content and composition of elemental carbon (EC) and organic carbon (OC) were determined, and the interrelationships between these and the AAE were examined. It was found that the spectroscopic signature of samples with high ‘brown carbon’ emissions was comparable to that of many PAH and polyphenols, with AAE ranging from 1.0–1.2 for model compounds to 0.5–5.7 for biomass. In addition to the filter samples, particles were collected directly onto microscopy grids and analysed by transmission electron microscopy – electron energy loss spectroscopy (TEM-EELS) in order to determine structural characteristics. This was used to examine the impact of combustion conditions and flue gas dilution on particle structure. Smouldering phase and diluted particles were found to be less graphitic and twice as oxygenated as undiluted flaming phase particles. The results are interpreted to better understand the impact of combustion processes on soot formation from biomass combustion. Abbreviations: AAE: absorption angstrom exponent; ATN: light attenuation; AToFMS: aerosol time of flight mass spectrometer; BC: black carbon; BrC: brown carbon; C:O: carbon to oxygen ratio; CPD: cyclopentadienyl radical C5H5; DMS: differential mobility spectrometer; EC: elemental carbon; EELS: electron energy loss spectroscopy; HACA: hydrogen abstraction carbon addition; MCE: modified combustion efficiency; OA: organic aerosols; OC: organic carbon; PM: particulate matter; POM: primary (particulate)organic matter; Py-GC/MS: pyrolysis gas chromatography/mass spectrometry; sp2: amount of sp2 orbital hybridisation in atomic structure; SSA: single scattering albedo; TC: total carbon (BC+OC) or (EC+OC); TEM: transmission electron microscope; TGA: thermogravimetric analysis
Digestate Post-Treatment Strategies for Additional Biogas Recovery: A Review

Anaerobic digestion (AD) is a process in which microorganisms, under oxygen-free conditions, convert organic matter into biogas and digestate. Normally, only 40–70% of biomass is converted into biogas; therefore, digestate still contains significant amounts of degradable organic matter and biogas potential. The recovery of this residual biogas potential could optimize substrate utilization and lower methane emissions during digestate storage and handling. Post-treatment methods have been studied with the aim of enhancing the recovery of biogas from digestate. This review summarizes the studies in which these methods have been applied to agricultural and wastewater digestate and gives a detailed overview of the existing scientific knowledge in the field. The current studies have shown large variation in outcomes, which reflects differences in treatment conditions and digestate compositions. While studies involving biological post-treatment of digestate are still limited, mechanical methods have been relatively more explored. In some cases, they could increase methane yields of digestate; however, the extra gain in methane has often not covered treatment energy inputs. Thermal and chemical methods have been studied the most and have yielded some promising results. Despite all the research conducted in the area, several knowledge gaps still should be addressed. For a more thorough insight of the pros and cons within post-treatment, more research where the effects of the treatments are tested in continuous AD systems, along with detailed economic analysis, should be performed.
The Variants in ADIPOQ are Associated with Maternal Circulating Adipokine Profile in Gestational Diabetes Mellitus

Background Gestational diabetes mellitus (GDM) is the most common association with hyperglycemia and glucose intolerance during pregnancy. The adipokines play an important to control insulin secretion and glucose. This study aimed to investigate the association between maternal circulating adipokine levels and ADIPOQ gene polymorphism among pregnant women subjects with GDM and normal glucose tolerance (NGT). Methods Participants including 229 normal pregnant women and 197 GDM pregnant women were enrolled from 2015 to 2018 at Siriraj hospital. Serum adipokine levels including adiponectin, adipsin/factor D, NGAL/Lipocalin-2, total PAI-1, and resistin were measured by immunoassay. ADIPOQ variations were investigated including −11377C/G (rs266729), +45T/G (rs2241766), and +276G/T (rs1501299). Results Serum adiponectin concentration was also significantly decreased among the GDM who had aged less than 35 years old whereas adipsin levels were significantly lower among the GDM who had aged more than 35 years old. Also, adiponectin and total PAI-1 levels were significantly lower among the GDM who had a BMI of less than 30 kg/m2. The G allele frequency of ADIPOQ +45T/G was significantly different between GDM and controls (p = 0.03). ADIPOQ +45T/G was associated with an increased risk of GDM (odds ratio [OR]: 1.554; 95% confidence interval [CI]: 1.010–2.390; p=0.045). The −11377C/G was affected by the level of adiponectin (p = 0.04). The C allele of −11377C/G SNP declined serum adiponectin levels and may be a risk factor for GDM. Conclusion This study revealed that genetics play important roles in circulating adipokines among pregnant women. ADIPOQ polymorphisms had significant associations with adiponectin levels in GDM patients.
Do high-performance work practices moderate the influence of job content plateau on job attitudes of frontline hotel employees?

Abstract To get a more nuanced picture job content plateau and its effects, the present study test if high-performance work practices (HPWPs) moderate the relationship between job content plateau and job attitudes (job satisfaction and organizational commitment). A two-wave longitudinal data was collected from 404 frontline hotel employees in India. The results of the study indicate that HPWPS is positively associated with job attitudes. The findings further reveal that the adverse influence of job content plateau on job attitudes becomes positive when employees perceive more of HPWPs or vice versa. This study provides discussions of both theoretical and practical implications.
A Life Course Approach to Understanding Volunteering Practices Among Ethnic-Racial Minority Immigrants on the US-Mexico Border

Drawing insights from the life course perspective, this study examined individual and contextual factors that shaped volunteering practices among ethnic-racial minority immigrants across their life course. Using purposive sampling, 40 ethnic-racial minority immigrants at various stages of adulthood (18–65 years old) were recruited from a southwestern U.S. state on the US-Mexico border in 2018 to participate in an in-depth interview to better understand how their personal experiences, ecologies, and life histories influenced their volunteering practices. Grounded Theory Method was used to analyze the data. Overall, the participants’ volunteering propensities were influenced by (1) significant life events that served as turning points that motivated their desire to help, (2) linked lives in connection with their personal and professional life domains, (3) human capital and agency that served as their resources in volunteering and access to volunteering opportunities, and (4) the context that made volunteering conducive.
Dye-sensitized Er3+-doped CaF2 nanoparticles for enhanced near-infrared emission at 15 µm

Lanthanide (Ln)-doped nanoparticles have shown potential for applications in various fields. However, the weak and narrow absorption bands of the Ln ions ( Ln 3 (cid:1) ), hamper efficient optical pumping and severely limit the emission intensity. Dye sensitization is a promising way to boost the near-infrared (NIR) emission of Er 3 (cid:1) , hence promoting possible application in optical amplification at 1.5 μ m, a region that is much sought after for telecommunication technology. Herein, we introduce the fluorescein isothiocyanate (FITC) organic dye with large absorption cross section as energy donor of small-sized ( ∼ 3 . 6 nm ) Er 3 (cid:1) -doped CaF 2 nanoparticles. FITC molecules on the surface of CaF 2 work as antennas to efficiently absorb light, and provide the indirect sensitization of Er 3 (cid:1) boosting its emission. In this paper, we employ photoluminescence and transient absorption spectroscopy, as well as density functional theory calculations, to provide an in-depth investigation of the FITC → Er 3 (cid:1) energy transfer process. We show that an energy transfer efficiency of over 89% is achieved in CaF 2 :Er 3 (cid:1) @ FITC nanoparticles resulting in a 28 times enhancement of the Er 3 (cid:1) NIR emission with respect to bare CaF 2 :Er 3 (cid:1) . Through the multidisciplinary approach used in our work, we are able to show that the reason for such high sensitization efficiency stems from the suitable size and geometry of the FITC dye with a localized transition dipole moment at a short distance from the surface of the nanoparticle.
Language of the unheard: police-recorded protests in South Africa, 1997–2013

ABSTRACT South Africa remains beset by protest. Notwithstanding an impressive literature, quantifying protests remains problematic; most attempts extrapolate from samples or media-derived data sets. Applying machine learning to the world’s largest publicly available, single-country public-event database – the South African Police Service’s Incident Registration Information System – the article classifies 150,000 events into type and levels of ‘tumult’. The author provides the first holistic picture of all police-reported protest in South Africa over a given period (1997–2013), showing a count increase (partly confirming the ‘rebellion of the poor’ thesis), while more nuanced measures (i.e. protestors per capita) demonstrate a less urban and tumultuous phenomenon than previously theorised.
Trajectory Tracking and Stabilization of Nonholonomic Wheeled Mobile Robot Using Recursive Integral Backstepping Control

In this paper, a generalized nontriangular normal form is presented to facilitate designing a recursive integral backstepping control for the class of underactuated nonholonomic systems, i.e., wheeled mobile robots (WMRs) that perform posture stabilization and trajectory tracking in environments without obstacles. Based on the differential geometry theory, we develop a multiple input multiple output (MINO) generalization of normal form using the input-output feedback linearization technique. Then, the change of variables (diffeomorphism) transform the state-space model of WMR, incorporating both kinematic and dynamic models into nontriangular normal form. As a result, the system dynamics can be represented as internal and external dynamics. The nonlinear internal dynamics of WMR pose serious challenges to design a suitable controller due to its internal dynamics being not minimum phase and non-strict feedback form structure. The proposed backstepping controller is designed in two steps. First, a standard integral backstepping controller is designed to stabilize the robot’s orientation angle. Then, a recursive integral backstepping control technique is applied to achieve asymptotic convergence of position error to zero. Hence, both asymptotic posture stabilization and trajectory tracking are achieved in semi-global regions, except the nonzero initial condition of the orientation angle. The asymptotic stability of the entire closed-loop system is shown using the Lyapunov criteria.
Depression and Suicide Ideation: The Role of Self-Acceptance for Black Young Adults

Suicide is a leading cause of death for Black young adults. Though depression is commonly linked to increased risk for suicide, empirical literature examining the depression–suicide association and intrinsic buffers for this association remains limited among Black young adults. This study sought to address this gap in the literature by examining the relationship between depression and suicide ideation among Black young adults. Importantly, this study assessed the moderating role of self-acceptance, an index of how content one is with oneself. Study participants included 123 Black young adults (63.5% female, Mage = 20.91 years, SD = 2.45 years) who completed measures evaluating symptoms of depression, suicide ideation, and psychological well-being. Multivariate regression analyses revealed that self-acceptance moderated the association between depressive symptomatology and suicide ideation (β = −0.05, p < .01, 95% CI [-1.01, −0.11]), such that the depression–suicide ideation association was not significant for individuals who reported high levels of self-acceptance. These findings suggest that self-acceptance may be an important treatment target for interventions aimed specifically at reducing suicide vulnerability among Black young adults.
INTELLECTUAL CAPITAL PENGARUHNYA TERHADAP RETURN ON ASSETS (ROA) PADA PERUSAHAAN SUB SEKTOR OTOMOTIF DAN KOMPONEN DI BURSA EFEK INDONESIA

Perbaikan dan perubahan di bidang bisnis menjadikan perusahaan percaya bahwa modal intelektual menjadi komponen dan aset penting dalam mengukur dan mengevaluasi kinerja di antara sektor bisnis. Penelitian ini bertujuan untuk menguji pengaruh komponen Intellectual Capital yaitu Value Added Capital Employed (VACA), Value Added Human Capital (VAHU) dan Structural Capital Value added (STVA) terhadap Return On Assets (ROA) pada perusahaan sub sektor otomotif dan komponen di Bursa Efek Indonesia. Teknik pengambilan sampel menggunakan purposive sampling dengan jumlah sampel sebanyak 5 perusahaan sub sektor otomotif dan komponen. Data yang digunakan adalah laporan keuangan periode tahun 2015 – 2019 yang dipublikasikan di website resmi perusahaan. Hasil penelitian menunjukkan bahwa Value Added Capital Employed (VACA) berpengaruh positif siginifikan terhadap Return On Assets (ROA) Pada Perusahaan Sub Sektor Otomotif Dan Komponen, Value Added Human Capital (VAHU) mempunyai pengaruh negatif dan tidak signifikan terhadap Return On Assets (ROA) Pada Perusahaan Sub Sektor Otomotif Dan Komponen dan Structural Capital Value Added (STVA) berpengaruh positif namun tidak signifikan terhadap Return On Assets (ROA) Pada Perusahaan Sub Sektor Otomotif Dan Komponen.
The impact of exchange rate on domestic tourism demand of Iran

ABSTRACT Tourism demand is influenced by many factors including price-related variables like exchange rate. This paper aims to examine the influence of the exchange rate increase on the domestic tourism demand of Iran. To this end, the social accounting matrix is modified to incorporate domestic tourism as a distinct sector, and is fed into a CGE model. The results show domestic tourism demand is decreased for all households after a 50% increase in the exchange rate. However, the export of many sectors is improved. Inbound tourism, proxied by hotel sector, is also increased. The consequences of the exchange rate increase are not homogenous in all sectors, and it is recommended to study all aspects in exchange rate policies.
RHIZOPHORA MANGLE L. LEAF BIOCHEMICAL CHARACTERIZATION: NATURAL-GREEN TOTAL-CORROSION INHIBITION PROSPECT ON CONCRETE STEEL-REINFORCEMENT IN 3.5% NaCl

Effective corrosion-protection by plant-extract on metals, in aggressive service-environment, is dependent on the biochemical constituents of which the natural plant is made-up. This paper investigates biochemical characterization of inorganic and organic constituents of Rhizophora mangle L. leaf for gaining insight on its steel-reinforcement corrosion mitigating prospect in NaCl-immersed concretes. For the study, atomic absorption spectroscopy (AAS), Fourier transform infrared spectroscopy (FT-IR) and phytochemical screening analyses were employed. Total-corrosion effect was also studied from steel-reinforced concrete samples, having different concentrations of the leaf-extract as admixture, and which were immersed in 3.5% NaCl (simulating saline/marine environment). Results, by AAS, showed that Rhizophora mangle L. leaf inorganic constituents were highest in iron, Fe = 10,316.17 μg/g and lowest in cadmium, Cd = 6.2019 μg/g but has neither lead (Pb) nor chromium (Cr). Also, organic constituents, by FT-IR, indicated extract from the leaf constitutes aromatic chained compounds rich in π-electrons as well as sulphur, nitrogen and oxygen-bearing ligands to which iron (steel-rebar) exhibits coordinate affinity. Phytochemical characterization showed that the leaf-extract contains alkaloids, tannins, phlobatannins, saponins, steroids and glycosides. Corrosion-inhibiting prospect testing, using the leaf-extract, indicated reduced steel-reinforcement total-corrosion effects that correlated with the extract admixture concentrations employed in the 3.5% NaCl-immersed steel-reinforced concretes.
Intermediate range order in supercooled water

ABSTRACT The temperature dependence of the heights of the first and second x-ray diffraction peaks in supercooled water measured down to 244 K are found to display very different behaviours. While the first peak intensity remains essentially constant, the second peak increases strongly with decreasing temperature. In real space this is concomitant with the reduction of the number of non-bonded interstitial molecules between the first and second shells. It is found that although the first O-O shell in supercooled water is unchanged upon supercooling, the variations in intermediate range order are mainly associated with the growth of a predominantly tetrahedral network that is distinctly different from ice-Ih. Moreover, in this temperature regime we find a direct correlation between the height of the second diffraction peak and the intensity changes in the 2nd, 3rd, 4th and 5th peaks in the oxygen-oxygen pair distribution function. GRAPHICAL ABSTRACT
Context-aware movement analysis in ecology: a systematic review

ABSTRACT Research on movement has increased over the past two decades, particularly in movement ecology, which studies animal movement. Taking context into consideration when analysing movement can contribute towards the understanding and prediction of behaviour. The only way for studying animal movement decision-making and their responses to environmental conditions is through analysis of ancillary data that represent conditions where the animal moves. In GIScience this is called Context-Aware Movement Analysis (CAMA). As ecology becomes more data-oriented, we believe that there is a need to both review what CAMA means for ecology in methodological terms and to provide reliable definitions that will bridge the divide between the content-centric and data-centric analytical frameworks. We reviewed the literature and proposed a definition for context, develop a taxonomy for contextual variables in movement ecology and discuss research gaps and open challenges in the science of movement more broadly. We found that the main research for CAMA in the coming years should focus on: 1) integration of contextual data and movement data in space and time, 2) tools that account for the temporal dynamics of contextual data, 3) ways to represent contextualized movement data, and 4) approaches to extract meaningful information from contextualized data.