Miracle-dz/UniFAR-FTUs huggingface dataset:
Improvement of fault interpretation with seismic attribute analysis of Jeju Basin, offshore southern Korea, East China Sea

Seismic attribute analysis is useful in identifying faults and quickly visualizing their 3-D geometrical features. This study presents seismic attribute analysis of 3-D seismic reflection data acquired from the Jeju Basin, offshore southern Korea for fault interpretation. To improve the accuracy of the fault interpretation, noise reduction and spectral enhancement were conducted prior to the seismic attribute analysis. The pre-conditioned seismic volume was used to generate three seismic attribute volumes: dip, tensor, and structurally oriented semblance. These three attribute volumes were co-rendered to compare three different structural attributes effectively. Frequency decomposition volume was created on the basis of the scale, so geological features can be distinctively resolved. Based on the multi-attribute analysis, we quickly identified structural features and accurately interpreted the fault patterns based on their strike direction. Rift-related major faults were identified, and their geometrical characteristics were easily extracted from the 3-D attribute volume. Subtle changes in the strike direction of some normal faults were observed during the rift basin evolution. This observation suggests that the fault development pattern was possibly affected by the change in the magnitude and direction of the extensional stress during the basin evolution or the interaction of the preexisting structural trend and tectonic movement.
Southward range extension of the goldeye rockfish, Sebastes thompsoni (Actinopterygii: Scorpaeniformes: Scorpaenidae), to northern Taiwan

The goldeye rockfish, Sebastes thompsoni (Jordan et Hubbs, 1925), is known as a typical cold-water species, occurring from southern Hokkaido to Kagoshima. In the presently reported study, a specimen was collected from the local fishery catch off Keelung, northern Taiwan, which represents the first specimen-based record of the genus in Taiwan. Moreover, the new record of Sebastes thompsoni in Taiwan represented the southernmost distribution of the cold-water genus Sebastes in the Northern Hemisphere.
An improved multiobjective evolutionary algorithm based on decomposition approach and its application in antenna array beam pattern synthesis

Antenna arrays can enhance the performance and reduce the overhead of the wireless communication systems. However, the beam pattern synthesis of antenna arrays are difficult problems since the optimization properties are usually trade‐offs that affect each other. In this paper, we formulate a multiobjective beam pattern optimization problem (MBPOP) to simultaneously reduce the maximum sidelobe level (SLL) and achieve the nulls of the antenna array beam pattern. The multiobjective evolutionary algorithm based on decomposition (MOEA/D) is a general and effective algorithm to solve the MOPs. However, it may be easy to lose population diversity and converge to local optimum. To overcome the issues above, we propose an improved MOEA/D (IMOEA/D) to deal with the formulated MBPOP. IMOEA/D introduces the normal distribution crossover operator (NDX), Lévy flight strategy and Euclidean distance‐based solution selection mechanism to enhance the performance of conventional MOEA/D to make it more suitable to solve the formulated MBPOP. Experiments are conducted and the results indicate that the proposed IMOEA/D has a better performance in terms of the convergence rate and population diversity compared to other algorithms for solving the formulated MBPOP.
How Is Social Acceptance Reflected in National Renewable Energy Plans? Evidence from Three Wind-Rich Countries

This article contributes to discussions of the social acceptance of renewable energy (RE) by developing an analytical framework that considers three dimensions (community, market, and political-regulator) at three different scales (macro, meso, and micro). This framework is conceived in order to identify those dynamics that are potentially counterproductive to the energy transition and need further policy emphasis, as well as supporting those that demonstrate a positive impact. Using this framework, we critically reflect on the 2010 National Renewable Energy Action Plan (NREAP) policies of three European countries with high wind resources: Denmark, Ireland, and the UK. Within the RE policy landscapes of these three countries lies the contentious issue of social acceptance of wind power. The framework analysis reveals similar policy profiles for each country, characterized by a heavy focus on the market dimension at all scales, an effort to allow private business to steer the transition, and a low focus on the community dimension. In doing so, our research reveals how policy-making processes have privileged the voice of actors who are able to communicate quantifiable data and evidence to support their position, and these actors thereby have greater influence to shape national energy policies.
Deposição de calda na cultura da cebola e no solo em função da ponta de pulverização e da pressão de trabalho

A aplicação de agroquímicos vem sendo pesquisada e a primorada ao longo dos anos, porém ainda há uma carência de pesquisas relacionadas à tecnologia de aplicação na cultura da cebola. Neste trabalho, objetivou-se avaliar a interação de diferentes pontas de pulverização e pressões de trabalho sobre a deposição de calda em plantas de cebola e no solo. O experimento foi constituído de 16 tratamentos e cinco repetições, organizados em esquema fatorial 4x4, combinando quatro pontas de pulverização (MF 110 015, AD 110 015, TT 110 015 e ADIA 110 02) e quatro pressões de trabalho (207, 276, 345 e 414 kPa). Foi conduzido em casa de vegetação com plantas cebolas transplantadas em vasos de 8 dm-3 preenchidos com solo. Plantas de cebola com cinco a seis folhas completamente desenvolvidas e placas de Petri acondicionadas no solo foram os alvos biológicos, onde se avaliou a deposição de calda nas plantas e no solo. Utilizou-se o corante azul brilhante como traçador, após a aplicação esse foi recuperado com água destilada e quantificado em espectrofotômetro, para determinação da deposição. A deposição de calda na cebola foi afetada pelo fator ponta de pulverização, já no solo foi influenciada pelo modelo de ponta de pulverização, pressão de trabalho e interação entre ambos. Concluiu-se que a ponta de impacto (TT 110 015) e jato plano com indução de ar (ADIA 110 02) foram os modelos que apresentaram maior deposição de calda nas plantas de cebola e no solo. A pressão de trabalho não afetou a deposição de calda nas plantas de cebola. O aumento de pressão incrementou a deposição de calda no solo para as pontas de jato plano (MF 110 015), pré-orifício (AD 110 015) e com indução de ar (ADIA 110 02), contudo não afetou a deposição na ponta de impacto (TT 110 015).
Psychosocial assessment of lung cancer patients and their caregivers

Lung cancer (LC) is one of the most common types of cancer disease worldwide. Studies in the field show that the appearance of a pathology of this form causes changes not only in the patient’s life, namely psychological problems, functional limitations and poorer health due to the clinical consequences of treatments, but also in their family, where caregivers often face the challenge of providing long-term daily care that induces a physical, psychosocial and financial burden (Borges et al., 2017; Hewitt et al., 2003; Tan et al., 2018). The main objective of the present study is to compare and relate the two groups (patients and caregivers) considering the quality of life (QoL) and symptoms of psychological distress (anxiety and depression). The total sample consisted of 30 patient/caregiver dyads. The instruments used were: Hospital Anxiety and Depression Scale; European Organization for Research and Treatment of Quality of Life Questionnaire (EORTC QLQ C-30) and its specific module for lung cancer (LC13); Caregiver Oncology Quality of Life Questionnaire (CarGOQoL) and Zarit Burden Interview Scale (ZBI). The results suggest the influence of depressive symptomatology on patients’ QoL [F(1)=6.390; p<0.05] and depressive and anxious symptomatology and burden on caregivers’ QoL [F(3)=7.815; p<0.001]. A positive association was found between depressive symptomatology of patients and caregivers (r=0.458; p=0.011) and differences in anxious symptomatology were also observed, with a higher result in the patient’s group.
Oxidative addition/cycloaddition of arenesulfonamides and triflamide to N-allyltriflamide and N,N-diallyltriflamide

N-Allyltriflamide adds triflamide in the oxidative system (t-BuOCl + NaI) to give N,N′,N′′-propane-1,2,3-triyltris(triflamide), while under the same conditions arenesulfonamides as well as trifluoroacetamide diastereoselectively give the product of chlorination/dimerization, (2R,5S)-2,5-bis(chloromethyl)-1,4-bis[(trifluoromethyl)sulfonyl]piperazine. N,N-Diallyltriflamide reacted with triflamide affords the products of iodotriflamidation of one or two CC bonds, and the product of intramolecular iodotriflamidation, 3,7-diiodo-1,5-bis[(trifluoromethyl)sulfonyl]-1,5-diazocane, and 3,7,9-tris[(trifluoromethyl)sulfonyl]-3,7,9-triazabicyclo[3.3. 1]nonane. In contrast, with arenesulfonamides and trifluoroacetamide, N,N-diallyltriflamide gives the products of iodoamidation or/and iodochlorination at only one double bond.
Chemical Trends of Electronic Properties of Two-Dimensional Halide Perovskites and Their Potential Applications for Electronics and Optoelectronics

Two-dimensional (2D) halide perovskites with the formula of A2MIVX4VII are now emerging as a new family of 2D materials and promising candidates for nanoelectronics and optoelectronics. Potentially, there could be abundance of 2D halide perovskites by varying the compositions of A, M and X and their properties can be widely tuned to satisfy the requirements of the practical applications. While several samples have been experimentally realized, most of them are currently unexplored and their chemical trends in relation to the chemical compositions are yet not well understood, which thus drags down the exploration of their potential applications. In this work, using first-principles calculation methods, we systematically investigate the properties of 2D halide perovskites, including their structural stabilities, electronic, optical, and transport properties. The chemical trends in this novel family of 2D materials are established and we find that the bandgaps increase with increased lattice distortions by c.
The Role of Biochar and Combination of Inorganic Fertilizers and Biological Fertilizers in Increasing Yield and Levels of Brix Sorghum (Sorghum bicolor (L.) Moench) in Dry Land

Research on the role of biochar, inorganic and biological fertilizers was aimed to increase crop yield and brix value of sorghum in dryland. This research was conducted from October 2020 to February 2021 at The Teaching Farm Soil Science Study Program, Akar-Akar Village, Bayan, North Lombok. The method used in this research is an experimental method, with the experimental plot in the field. The experiment consisted of two factors, was designed using a split plot design. Biochar as the main plot with 2 treatment levels, b 0 (without biochar) dan b 1 (biochar 20 ton/ha); combination of fertilization as subplots with 4 treatment levels, namely p 0 (without fertilizer), p1 (200 kg/ha NPK + 150 kg/ha Agrosil), p 2 (20 ml/liter PGPR), and p 3 (200 kg/ha NPK + 150 kg/ha Agrosil + 20 ml/L PGPR). The research showed that interaction between biochar and combination of fertilizers is not significant, but the combination of inorganic and biological fertilizers significantly increased sorghum's productivity and brix value. The combination of inorganic and biological fertilizer (p 3 ) is the best treatment to increase weights 1000 seeds (31.29 g), yield (25.96 kg/plot), and brix value (14.55%)
It’s Not Just Sex: Relational Dynamics between Street-Based Sex Workers and Their Regular Customers

Establishing regular customers is an integral aspect of any service industry since they can increase profits and referrals. Most research on regulars within sex work focuses on indoor, high-end workers, who cultivate them through relational work practices. Yet very little is known about whether street-based sex workers employ these same tactics or even seek out regulars. This article draws upon interviews with 36 street-based sex workers in Washington, DC, USA. Sex workers dedicate considerable time and effort in order to retain regulars via relational work, noting such customers offer greater economic stability and fewer risks. Relational work also has disadvantages, exacerbated by the illicit and illegal nature of this work. Street-based sex workers navigate boundary setting and slippage as a part of retaining or rejecting regular clients. These findings have implications for policies that can reduce harms for sex workers and enhance their protections.
Simulation Model for Time to Flowering with Climatic and Genetic Inputs for Wild Chickpea

Accurate prediction of flowering time helps breeders to develop new varieties that can achieve maximal efficiency in a changing climate. A methodology was developed for the construction of a simulation model for flowering time in which a function for daily progression of the plant from one to the next phenological phase is obtained in analytic form by stochastic minimization. The resulting model demonstrated high accuracy on the recently assembled data set of wild chickpeas. The inclusion of genotype-by-climatic factors interactions accounted to 77% of accuracy in terms of root mean square error. It was found that the impact of minimal temperature is positively correlated with the longitude at primary collection sites, while the impact of day length is negatively correlated. It was interpreted as adaptation of accessions from highlands to lower temperatures and those from lower elevation river valleys to shorter days. We used bootstrap resampling to construct an ensemble of models, taking into account the influence of genotype-by-climatic factors interactions and applied it to forecast the time to flowering for the years 2021–2099, using generated daily weather in Turkey, and for different climate change scenarios. Although there are common trends in the forecasts, some genotypes and SNP groups have distinct trajectories.
Well-being-oriented management (WOM), organizational learning and ambidexterity in public healthcare: a two wave-study

Abstract Drawing upon positive psychology and organizational learning literature, this study examines the relationship between well-being-oriented management (WOM) and unit-level ambidexterity. Building on the social exchange theory, our multilevel model sheds light on the relationship between individual perceptions of WOM, organizational learning, and unit-level ambidexterity in public hospitals. Based on the two-wave data obtained from 507 medical specialists, from 151 medical units, our multilevel analysis provides support for our two hypotheses. First, a positive relationship between WOM and unit-level ambidexterity was found. Second, organizational learning capability (OLC) moderated the relationship between WOM and unit-level ambidexterity. This study is one of the first to clarify the learning mechanisms through which WOM increases the development of unit-level ambidexterity in complex public organizations.
Dynamic adhesion and friction mediated by supramolecular bonds

Understanding and controlling adhesive interactions on the molecular scale is one of the main challenges in the field of nanotechnology. A new surface functionalization was developed in this thesis for investigating the molecular origin of adhesive interactions from single molecular level to assemblies of multiple bonds. The surface functionalization is based on supramolecular bonds established by the inclusion of ditopic connector molecules into two cyclodextrin (CD) molecules, one attached to a tip of an atomic force microscope and the other attached to a flat silicon surface. By using different connector molecules, the dynamics in friction and adhesion can be tuned. The dynamics of the molecular system were studied with respect to single bond kinetics and the flexibility of the attachment. The control of adhesion and friction was achieved by using photosensitive connector molecules which are sensitive to an external light stimuli. In order to enhance the applicability of the surface functionalization, the CD molecules were attached onto stiff polymers which can bridge the surface roughness of real contacts. The results of this thesis provide a deeper understanding of the molecular mechanisms underlying adhesive friction and open a new pathway for actively controlling friction and adhesion. Die Kontrolle von adhasiven Wechselwirkungen auf molekularere Ebene ist von beson- derem Interesse im Forschungsfeld der Nanotechnologie. Im Rahmen dieser Arbeit wurde eine Oberflachenfunktionalisierung entwickelt, um die adhasive Interaktion von Einzel- molekulen bis hin zu molekularen Essembles zu untersuchen. Die Funktionalisierung basiert auf supramolekularen Bindungen, bestehend aus einem ditopen Konnektormolekul, das an zwei Cyclodextrin (CD) Molekule bindet, wobei das eine CD-Molekul an die Spitze eines Rasterkraftmikroskops und das andere an eine glatte Siliziumoberflache gebunden ist. Durch die Auswahl verschiedener Konnektormolekule kann das dynamische Verhalten von Reibung und Ahasion angepasst werden. Die Dynamik des Kontakts wird im Hinblick auf die Kinetik einer einzelnen Bindung sowie auf die Flexibilitat der Anbindung untersucht. Die Kontrolle von Adhasion und Reibung wird mit Hilfe photosensitiver Konnektormolekule erreicht, die sich durch einen externen Lichtstimulus schalten lassen. Um die Rauigkeit realer Kontakte zu uberbrucken, wurden CD-Molekule an Polymere angebunden, die ihrerseits an die Oberflache und die AFM Spitze angebunden wurden. Die Ergebnisse dieser Arbeit tragen zu einem tieferen Verstandnis der molekularen Prozesse von adhasiver Reibung bei und zeigen eine Moglichkeit zur aktiven Kontrolle von Reibung und Adhasion auf.
The Impact of Inclusive Education on Academic Motivation, Academic Self-Efficacy, and Well-Being of Students With Learning Disability

This study explored the impact of inclusive education on academic motivation, academic self-efficacy, and well-being of students with learning disability (LD). Three groups of students (students with LD studying in special schools, students with LD studying in inclusive schools, and students without LD studying in inclusive schools) were compared on these variables. Results revealed that students without LD scored higher on both academic motivation and academic self-efficacy. They also scored higher on well-being than students with LD going to inclusive schools. Implications of the results in the context of students with LD are discussed.
Towards a more “scale‐aware” orographic gravity wave drag parametrization: Description and initial testing

Many current orographic gravity wave drag parametrizations employed in numerical weather prediction and climate models assume idealised elliptical subgrid orography. As a result, they do not fully capture the spectrum of subgrid orographic scales and do not exhibit the desired behaviour when the model grid length is varied. This article describes the motivation, formulation, and testing of a new orographic gravity wave drag parametrization in the Met Office Unified Model that is more “scale‐aware”. The scheme circumvents the need to make assumptions about the shape and distribution of the subgrid orography, moving away from elliptical mountains, through the use of Fourier transforms. The reduction in gravity wave surface stress when orographic flow blocking is present is also accounted for. The result is a new scheme that represents subgrid mountain scales more faithfully and consistently, rather than assuming a single mountain scale for each grid box. Tests using both regional and global simulations, ranging in grid spacing from 2–130 km, demonstrate that the scale‐aware scheme provides a more constant total, resolved plus parametrized, orographic gravity wave momentum flux, when the grid length is varied over most regions of the globe. Global five‐day forecasts also show a significant reduction in the too‐strong zonal wind bias within the Northern and Southern Hemisphere upper troposphere to lower stratosphere at grid spacings of 130 and 40 km when the scale‐aware scheme is employed. Some discussion on future developments for the scheme is also presented, noting that improvements to the orographic flow‐blocking drag component are required before the scheme can be implemented operationally.
Hydrate Phase Transition Kinetic Modeling for Nature and Industry–Where Are We and Where Do We Go?

Hydrate problems in industry have historically motivated modeling of hydrates and hydrate phase transition dynamics, and much knowledge has been gained during the last fifty years of research. The interest in natural gas hydrate as energy source is increasing rapidly. Parallel to this, there is also a high focus on fluxes of methane from the oceans. A limited portion of the fluxes of methane comes directly from natural gas hydrates but a much larger portion of the fluxes involves hydrate mounds as a dynamic seal that slows down leakage fluxes. In this work we review some of the historical trends in kinetic modeling of hydrate formation and discussion. We also discuss a possible future development over to classical thermodynamics and residual thermodynamics as a platform for all phases, including water phases. This opens up for consistent thermodynamics in which Gibbs free energy for all phases are comparable in terms of stability, and also consistent calculation of enthalpies and entropies. Examples are used to demonstrate various stability limits and how various routes to hydrate formation lead to different hydrates. A reworked Classical Nucleation Theory (CNT) is utilized to illustrate that nucleation of hydrate is, as expected from physics, a nano-scale process in time and space. Induction times, or time for onset of massive growth, on the other hand, are frequently delayed by hydrate film transport barriers that slow down contact between gas and liquid water. It is actually demonstrated that the reworked CNT model is able to predict experimental induction times.