Miracle-dz/UniFAR-FTUs huggingface dataset:
Long range ordered, dimerized, large-D and Haldane phases in spin 1 chain compounds

Abstract In 1983, F. Duncan M. Haldane predicted a singlet ground state for isolated integer-spin one-dimensional antiferromagnets with low single-ion anisotropy D. Since then, a lot of species containing chains of integer spin ions were tested to check the basic conjecture on an energy gap separating the continuum of the excited states from the ground state. As a result of these studies, it has been established that there are numerous states competing with the Haldane phase, namely long-range ordered, dimerized, and large-D phases. The long-range magnetic order takes place due to sufficiently strong exchange interactions between adjacent chains. Dimerization results from the alternation of the exchange interactions within the chains. Both uniaxial and rhombic single-ion anisotropies can suppress the Haldane phase, which is robust only until some critical values. The choice between the competing phases depends also on exchange anisotropy. Excellent reviews on the basic results obtained during the first 20 years of investigation of these phenomena provided solid background for the future studies. Here, we present some developments in this field obtained over the next two decades of research on spin-1 chain systems.
Synthesis and characterisation of zein–curcumin colloidal particles

Zein–curcumin composite colloidal particles were synthesized using an antisolvent precipitation method. The average particle size could be controlled down to 100–150 nm, depending on the solvent system and the ratio of zein and curcumin used in the synthesis. In all cases, spherical particles were obtained, as confirmed by transmission electron microscopy. Depending on the preparation conditions, curcumin load and encapsulation efficiency varied from 1.6 to 4.1% and 71.1 to 86.8%, respectively. Solid state characterization by differential scanning calorimetry and X-ray diffraction indicated the amorphous nature of entrapped curcumin. An UV irradiation study confirmed enhanced photostability of curcumin due to the entrapment of curcumin in the biopolymeric matrix. The particles were also found to have good colloidal stability at a broad range of physiologically relevant pH (1.2, 4.5, 6.7 and 7.4) and in simulated gastro-intestinal conditions. Results from an in vitro mucoadhesion study showed retention of more than 60% curcumin for 150 minutes. The mucoadhesion property was further confirmed from a mucin association study carried out on Caco-2 cells.
Dealing with lung cancer in the COVID-19 scenario (A review)

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which has caused the coronavirus disease 2019 (COVID-19), first appeared in December 2019 in Wuhan (China) and quickly spread worldwide and has since been assigned a pandemic status. This affected the worlds' social interactions, including within medical practices, thus interfering with routine treatments for a variety of diseases including cancer. Different studies have addressed the fact that patients with cancer are often immunocompromised, making them more susceptible to infections. Since COVID-19 frequently causes respiratory distress, patients with lung cancer are considered to be a high-risk group. Genes that have been indicated to mediate viral entry into host cells such as angiotensin-converting enzyme 2 and transmembrane protease serine 2 are expressed in the lung tissue, a fact that could partially explain COVID-19 pathogenesis and lung involvement. Therefore, the current study offers a disease overview including molecular aspects behind the infection and provide a perspective on already published Chinese data plus recommendations for the management of lung cancer patients according to the two main lung cancer types and stages: non-small cell lung cancer and small cell lung cancer. This review aimed to add to the collective effort of selecting the most appropriate guidelines to follow for the treatment of these patients.
Sustainable and bio-inspired chemistry for robust antibacterial activity of stainless steel

We report on the original synthesis of a poly(methacrylamide) bearing (oxidized) 3,4-dihydroxyphenylalanine specially designed to (i) insure film growth by covalent coupling, (ii) covalently bind an antibacterial peptide and (iii) contribute to the film cross-linking that is essential for the durability of the properties.
Synergies of Learning Analytics and Learning Design: A Systematic Review of Student Outcomes

The field of learning analytics (LA) has seen a gradual shift from purely data-driven approaches to more holistic views of improving student learning outcomes through data-informed learning design (LD). Despite the growing potential of LA in higher education (HE), the benefits are not yet convincing to the practitioner, in particular aspects of aligning LA data with LD toward desired learning outcomes. This review presents a systematic evaluation of effect sizes reported in 38 key studies in pursuit of effective LA approaches to measuring student learning gain for the enhancement of HE pedagogy and delivery. Large positive effects on student outcomes were found in LDs that fostered socio-collaborative and independent learning skills. Recent trends in personalization of learner feedback identified a need for the integration of student-idiosyncratic factors to improve the student experience and academic outcomes. Finally, key findings are developed into a new three-level framework, the LA Learning Gain Design (LALGD) model, to align meaningful data capture with pedagogical intentions and their learning outcomes. Suitable for various settings — face to face, blended, or fully online — the model contributes to data-informed learning and teaching pedagogies in HE.
The moderating role of parasocial relationships in the associations between celebrity endorser’s credibility and emotion-based responses

ABSTRACT Drawing on stimulus-organism-response theory, the current paper was an investigation of the associations among a celebrity endorser’s credibility and brand affection, self-brand connection, and purchase intention along with how parasocial relationships moderate these emotion-based associations. Data from 299 Korean millennials were tested applying structural equation modeling and multi-group methods. The findings indicated that celebrity endorser’s credibility positively correlated with brand affection and self-brand connection and that they were in turn, associated with purchase intention. Furthermore, both brand affection and self-brand connection fully mediated the impact of celebrity endorser’s credibility on intention to purchase. Parasocial relationships moderated the influence on self-brand connection but not on brand affection. More precisely, the impact on self-brand connection was stronger with more parasocial relationships. The theoretical and practical contributions arising from these results are discussed.
The influence of carbonyl sulphide on the inhibition of filamentary carbon deposition on stainless steel

This paper examines the role that COS plays in the inhibition of carbon deposition onto a Si‐free 20Cr‐25Ni‐Nb‐stabilized austenitic stainless steel. We have shown that the addition of just 240 vppb of COS to a standard gas deposit mixture of high carbon activity (1000 vppm C2H4, 1% CO, balance CO2) yields a dramatic fall in the amount of filamentous carbon deposited. The inhibitive effect persists when treatment is continued after COS has been subsequently removed from the treatment gas. Clearly, in these experiments the phenomenon is a result of substrate surface modification by the COS rather than changes in gas phase kinetics. Deposition onto surfaces where filamentous carbon has already been laid down is similarly inhibited.
Scaled Particle Theory of Fluid Mixtures

An extension of a previous one‐component theory of hard‐sphere systems (in three, two, and one dimensions) and the surface tension of real systems is made to mixtures. The theory is based on consideration of an approximate expression for the work of adding an additional hard sphere to a mixture. Comparison between theory and molecular‐dynamics calculations of the various contributions to the virial pressure (related to contact distribution functions) of such hard‐sphere mixtures is excellent. Comparison of the theory with experimental surface tensions of mixtures of simple liquids is satisfactory.
Advancing intersectionality approaches in intimate partner violence research: a social justice approach

ABSTRACT The application of social categories in intersectionality intimate partner violence (IPV) scholarship is common in comparative analyses of social groups. Yet, consideration of the methods applied in research that uses social categories as a means to understand diverse individuals has not been given. Since an array of factors, and their interplay, influence the experiences of IPV among diverse individuals, research methods that attend to the intersecting oppressions that social groups face and reflect their lived experiences are critical. This article provides direction to better incorporate the tenets of intersectionality to advance research, and in turn, improve service delivery.
Deposition of HfO2 on germanium and the impact of surface pretreatments

The deposition behavior of HfO2 by metalorganic chemical vapor deposition on germanium has been investigated. HfO2 films can be deposited on Ge with equally good quality as compared to high-k growth on silicon. Surface preparation is very important: compared to an HF-last, NH3 pretreatments result in smoother films with strongly reduced diffusion of germanium in the HfO2 film, resulting in a much better electrical performance. We clearly show that much thinner interfacial layers can be obtained, approximately half the thickness of what is typically found for depositions on silicon, suggesting the possibility of more aggressive equivalent oxide thickness∕leakage scaling.
Development of local-scale high-resolution atmospheric dispersion model using large-eddy simulation. Part 4: turbulent flows and plume dispersion in an actual urban area

We have developed a local-scale high-resolution atmospheric dispersion model using large-eddy simulation (LOHDIM-LES) to assess the safety at nuclear facilities and to respond to emergency situations resulting from accidental or deliberate releases of radioactive materials (e.g., a terrorist attack in an urban area). In Part 1, the unsteady behavior of a plume dispersing over a flat terrain was successfully simulated. In Parts 2 and 3, LESs of turbulent flows and plume dispersion around an isolated building and in building arrays with different obstacle densities were performed, which showed the basic performance comparable to wind tunnel experimental technique. In this study, we apply the LES model to turbulent flows and plume dispersion in an actual urban area. Although some of the turbulence and dispersion characteristics are quantitatively different from the wind tunnel experimental data, the distribution patterns are generally similar to those of the experiments. It is concluded that our LES model simulates reasonably the unsteady behavior of turbulent flows and plume dispersion even for complex heterogeneous urban areas.
A DYNAMIC CREDIT SCORING MODEL BASED ON SURVIVAL GRADIENT BOOSTING DECISION TREE APPROACH

Credit scoring, which is typically transformed into a classification problem, is a powerful tool to manage credit risk since it forecasts the probability of default (PD) of a loan application. However, there is a growing trend of integrating survival analysis into credit scoring to provide a dynamic prediction on PD over time and a clear explanation on censoring. A novel dynamic credit scoring model (i.e., SurvXGBoost) is proposed based on survival gradient boosting decision tree (GBDT) approach. Our proposal, which combines survival analysis and GBDT approach, is expected to enhance predictability relative to statistical survival models. The proposed method is compared with several common benchmark models on a real-world consumer loan dataset. The results of out-of-sample and out-of-time validation indicate that SurvXGBoost outperform the benchmarks in terms of predictability and misclassification cost. The incorporation of macroeconomic variables can further enhance performance of survival models. The proposed SurvXGBoost meanwhile maintains some interpretability since it provides information on feature importance.
Food system transformation and its impact on smallholder farmers’ income and food security in Indonesia

Abstract Transformation of food system in Indonesia can have a profound impact on the supply chain of smallholder farmers. Policymakers are concerned about the impact of “modern food retail penetration” or “supermarket penetration” on Indonesian food chain participants. This study aims to analyze the link between supermarket penetration and smallholder farmers’ welfare. Data were obtained from a survey involving 300 smallholder horticulture farmers from two regencies: Malang and Kediri. The data were analyzed to shed light on these issues. Endogenous switching regression was used to analyze the impact of participation in modern food marketing channel on both food security and welfare. The results of the econometric analysis suggest that there is a link between participation in the modern market and food security. In addition, this study also highlights that the presence of a new system of food supply chain is able to increase smallholder farmers’ income through the stability of price and demand.
Creativity and Well‐being: A Meta‐analysis

Creativity and well-being are popular subjects in psychological and organizational studies. The recent literature presented mixed perspectives about the nature of the relationship between the two. Whereas the mad-genius hypothesis, which was often explored among eminently creative individuals, seems to imply a negative relationship between the two, trends in the ﬁeld of creativity, such as everyday creativity and general psychology (i.e., positive psychology) linked them positively. The present meta-analysis study synthesized 189 effect sizes obtained from 32 samples in 26 different studies based on a total sample of 8,189. Analyses with multilevel modeling yielded a mean effect of r = . 14. The moderator analysis tested the impact of age, gender, measure of creativity, measure of well-being, stimulus type of creativity measure, and index of creativity measure. Only the creativity measure explained the variation in the study outcomes. The relationship between creativity and well-being was signiﬁcantly higher when creativity was measured by instruments focusing on creative activity and behavior ( r = .22) than the divergent thinking tasks ( r = .06). Those ﬁndings are discussed in terms of theoretical and practical implications.
NANOSCALE INVESTIGATIONS OF ELECTRICAL PROPERTIES IN RELAXOR Pb(Mg1/3Nb2/3)O3-PbTiO3 THIN FILMS DEPOSITED ON PLATINUM AND LaNiO3 ELECTRODES BY MEANS OF LOCAL PIEZOELECTRIC RESPONSE

ABSTRACT At very low temperature (450°C), (111)-oriented and polycrystalline 0.7Pb(Mg1/3Nb2/3) O3-0.3PbTiO3 (PMN-PT) thin films have been grown on platinum (Pt) and lanthium niobate (LaNiO3) bottom electrodes respectively. Macroscopic measurements reveal lower coercive fields for PMN-PT grown on LaNiO3 compared to on platinum, while the piezoelectric coefficient d 33 is greater. At the nanometer scale, local piezoelectric hysteresis loops show that the voltages required for domain switching and piezoelectric response are the highest for PMN-PT deposited on LaNiO3. The electrical results can be explained by taking into account the effects induced by both electrodes on the surface morphology and structural properties of the films.
People of color in North America report improvements in racial trauma and mental health symptoms following psychedelic experiences

Abstract This study examined how psychedelics reduced symptoms of racial trauma among black, indigenous, and people of color (BIPOC) subsequent to an experience of racism. A cross-sectional internet-based survey included questions about experiences with racism, mental health symptoms, and acute and enduring psychedelic effects. Changes in mental health were assessed by retrospective report of symptoms in the 30 days before and 30 days after an experience with psilocybin, Lysergic acid diethylamide (LSD), or 3,4-Methylenedioxymethamphetamine (MDMA). We recruited 313 diverse BIPOC in the US and Canada. Results revealed a significant (p < .001) and moderate (d = −.45) reduction in traumatic stress symptoms from before-to-after the psychedelic experience. Similarly, participants reported decreases in depression (p < .001; d = −.52), anxiety (p < .001; d = −.53), and stress (p < .001; d = −.32). There was also a significant relationship (Rc = 0.52, p < .001) between the dimension of acute psychedelic effects (mystical-type, insight, and challenging experiences) and decreases in a cluster of subsequent psychopathology (traumatic stress, depression, anxiety, and stress), while controlling for the frequency of prior discrimination and the time since the psychedelic experience. BIPOC have been underrepresented in psychedelic studies. Psychedelics may decrease the negative impact of racial trauma. Future studies should examine the efficacy of psychedelic-assisted therapy for individuals with a history of race-based trauma.
Long-Term Rainfall Trends and Their Variability in Mainland Portugal in the Last 106 Years

This study addresses the long-term rainfall trends, their temporal variability and uncertainty over mainland Portugal, a small country on the most western European coast. The study was based on monthly, seasonal and annual rainfall series spanning for a period of 106 years, between October 1913 and September 2019 (herein after referred to as global period), at 532 rain gauges evenly distributed over the country (c.a. 6 rain gauges per 1000 km2). To understand the rainfall behavior over time, an initial sub-period with 55 years and a final sub-period with 51 years were also analyzed along with the global period. The trends identification and the assessment of their magnitude were derived using the nonparametric Mann-Kendall (MK) test coupled with the Sen’s slope estimator method. The results showed that after the initial sub-period with prevailing increasing rainfall, the trends were almost exclusively decreasing. They were also so pronounced that they counterbalanced the initial rainfall increase and resulted in equally decreasing trends for the global period. The study also shows that approximately from the late 1960s on, the rainy season pattern has changed, with the last months prior to the dry season showing a sustained decrease of their relative contributions to the annual rainfalls. Overall, the results support the hypothesis of less uncertainty on the pronounced decrease of rainfall over mainland Portugal in recent years, which is expected to continue. They also show that the asymmetry between a less wet North, yet still wet, and an arid South is becoming much more marked.
Influence of Organic Manure and Bioagents on Growth, Yield and Quality of Okra under Assam Condition

A field trial was conducted to assess the effect of organic inputs and bioagents on growth, yield, and quality of okra. Thirteen treatments in the experiment were laid out in Randomized Block Design with three replications. The results revealed that the yield parameters were best in conjoint application of organic and inorganic fertilizer whereas the physical and quality parameters showed a maximum in integrated application of organic amendments and bioagents. On the basis of the findings it may be concluded that FYM @ 20 t/ha + VAM + Pseudomonas + Trichoderma + Azotobacter resulted the highest B: C ratio (2.66) and can be recommended as substitute for the inorganic combination of FYM @ 10 t/ha + 50:50:50 kg NPK/ha for higher quality yield with remunerative return.
Learning Rotation Domain Deep Mutual Information Using Convolutional LSTM for Unsupervised PolSAR Image Classification

Deep learning can archive state-of-the-art performance in polarimetric synthetic aperture radar (PolSAR) image classification with plenty of labeled data. However, obtaining large number of accurately labeled samples of PolSAR data is very hard, which limits the practical use of deep learning. Therefore, unsupervised PolSAR image classification is worthy of further investigation that is based on deep learning. Inspired by the superior performance of deep mutual information in natural image feature learning and clustering, an end-to-end Convolutional Long Short Term Memory (ConvLSTM) network is used in order to learn the deep mutual information of polarimetric coherent matrices in the rotation domain with different polarimetric orientation angles (POAs) for unsupervised PolSAR image classification. First, for each pixel, paired “POA-spatio” samples are generated from the polarimetric coherent matrices with different POAs. Second, a special designed ConvLSTM network, along with deep mutual information losses, is used in order to learn the discriminative deep mutual information feature representation of the paired data. Finally, the classification results can be output directly from the trained network model. The proposed method is trained in an end-to-end manner and does not have cumbersome pipelines. Experiments on four real PolSAR datasets show that the performance of proposed method surpasses some state-of-the-art deep learning unsupervised classification methods.
Factors Influencing Generation Z Intention in Using FinTech Payment Services

Many studies related to financial technology (FinTech), especially digital payment services, have been carried out. However, there is still a lack of studies that focus on Generation Z, especially their intention to use the service, while this generation is very familiar and is easily adaptable to new technologies. In addition, it is projected that this generation will contribute greatly to online transactions in Indonesia and even the world. For this reason, this study focuses on factors that can influence Generation Z’s intention to use digital payment services. There are five independent factors that will be tested, namely: culture, perceived security, performance expectancy, effort expectancy, and social influence. The research instrument was a questionnaire adopted from related literature, which was distributed online using the snowball and convenient sampling method. A total of 266 Generation Z people participated in this study. A descriptive statistic and multiple regression analysis were performed and found that simultaneously these five factors had a significant positive effect (Sig <.05) on the intention of Generation Z in using the service. This study concludes that service providers have to pay attention to these factors in attracting Generation Z.Keywords—digital payment services, financial technology, Generation Z