Miracle-dz/UniFAR-FTUs huggingface dataset:
Beijing Climate Center Earth System Model version 1 (BCC-ESM1): model description and evaluation of aerosol simulations

Abstract. The Beijing Climate Center Earth System Model version 1 (BCC-ESM1) is the first version of a fully coupled Earth system model with interactive atmospheric chemistry and aerosols developed by the Beijing Climate Center, China Meteorological Administration. Major aerosol species (including sulfate, organic carbon, black carbon, dust, and sea salt) and greenhouse gases are interactively simulated with a whole panoply of processes controlling emission, transport, gas-phase chemical reactions, secondary aerosol formation, gravitational settling, dry deposition, and wet scavenging by clouds and precipitation. Effects of aerosols on radiation, cloud, and precipitation are fully treated. The performance of BCC-ESM1 in simulating aerosols and their optical properties is comprehensively evaluated as required by the Aerosol Chemistry Model Intercomparison Project (AerChemMIP), covering the preindustrial mean state and time evolution from 1850 to 2014. The simulated aerosols from BCC-ESM1 are quite coherent with Coupled Model Intercomparison Project Phase 5 (CMIP5)-recommended data, in situ measurements from surface networks (such as IMPROVE in the US and EMEP in Europe), and aircraft observations. A comparison of modeled aerosol optical depth (AOD) at 550 nm with satellite observations retrieved from the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Multi-angle Imaging SpectroRadiometer (MISR) and surface AOD observations from the AErosol RObotic NETwork (AERONET) shows reasonable agreement between simulated and observed AOD. However, BCC-ESM1 shows weaker upward transport of aerosols from the surface to the middle and upper troposphere, likely reflecting the deficiency of representing deep convective transport of chemical species in BCC-ESM1. With an overall good agreement between BCC-ESM1 simulated and observed aerosol properties, it demonstrates a success of the implementation of interactive aerosol and atmospheric chemistry in BCC-ESM1.
Is the setting up aid mitigating the generational renewal problem in farming?

This study is the first to evaluate the setting up aid (SUA), in the Rural Development Programme. For Sweden, we investigate if the aid, firstly, speeds up the transition process to become manager of a farm and, secondly, affects income from farming and survival of the farm. The approach builds on a regression discontinuity design and explores an age 40–the eligibility requirement in the SUA. We find that the SUA has an impact on the transition to farm management, as well as it increases income from farming and farm survival. Consequently, the aid is likely to fulfil its aim of attracting young people into farming.
How do highly sensitive persons parent their adolescent children? The role of sensory processing sensitivity in parenting practices

This research examines whether sensory processing sensitivity (SPS) in parents is associated with their parenting practices toward their adolescent children and whether attachment insecurity mediates the associations between SPS and parenting practices. One hundred twenty-one parent–adolescent dyads completed self-report questionnaires assessing parents’ SPS, parents’ adult attachment, and parenting practices. Results showed that SPS was positively associated with inconsistency, psychological intrusiveness, and attachment anxiety. Further, attachment anxiety mediated the association between parents’ SPS and harsh parenting and partially mediated the association between parents’ SPS and parental psychological intrusiveness. There is very little research on how highly sensitive individuals parent their children in general and none regarding the parenting of high-SPS individuals during challenging developmental periods such as their children’s adolescence. Findings suggest that parents high in SPS may experience this period as especially stressful and high SPS might contribute to the use of negative parenting. Interventions focused on regulating high-SPS parents’ stress and on facilitating parents in practicing separating their own and their children’s emotions could promote their use of more positive parenting practices.
Nutritional value of decapsulated cysts of Artemia and their use as protein source in experimental microdiets for fish larvae

Live food dependence and the lack of suitable artificial diets are major constraints for the expansion of the larviculture in many fish species. The low digestibility and nutritional quality of artificial diets are factors that might explain their failure as starter food for fish. In this thesis, physiological aspects related to the capacity for digestion of food by fish larvae were studied. In addition, the protein quality in decapsulated cysts and nauplii of Artemia was evaluated, and the feasibility of using cysts as protein source in microdiets for fish larvae was studied. African catfish Clarias gariepinus was the experimental species. The results indicate that catfish larvae have the capacity to digest Artemia. The exogenous supply of digestive enzymes has a small contribution to the overall larval digestion. The protein in Artemia is mainly constituted by small size proteins, which might be more easily digested by the fish larvae than the proteins in artificial diets. It is suggested that the structure and size of the proteins in the fish food might have a very important role for its digestibility. In vitro studies on the protein digestibility of Artemia decapsulated cysts and nauplii, and of microbound diets made of decapsulated cysts revealed a higher digestibility of those diets compared to commercial diets. The use of decapsulated cyst of Artemia as protein source in microbound diets improved their performance as starter diet for fish larvae.
A Ray-Tracing Algorithm Based on the Computation of (Exact) Ray Paths With Bidirectional Ray-Tracing

A novel ray-tracing algorithm to cope with the phase errors due to incorrect ray path computations in ray-launching approaches is presented. The algorithm utilizes bidirectional ray-tracing to collect information about wavefronts incident on an interaction surface and yields considerable improvements in accuracy compared to conventional unidirectional ray-tracing. The points, where exact ray paths intersect with the surface, are obtained according to the Fermat principle of least time. If the interaction surface is aligned with diffraction edges, the corresponding critical points of the second kind can also be retrieved and complicated diffraction treatments by shooting diffracted rays on Keller cones can be avoided. Thus, a substantial reduction in the number of rays can be achieved. Furthermore, a typical problem encountered in traditional ray-tracing due to the reception sphere mechanism, i.e., incorrect ray contributions, can mostly be evaded. Numerical results demonstrate the capabilities of the new algorithm and its advantages against traditional techniques.
UTILIZATION OF JAMU IN PUERPERAL MOTHER IN SUMATERA AND JAVA ISLAND (LITERATURE REVIEW OF HEALTH ETHNOGRAPHIC RESEARCH 2012-2016)

ABSTRACT Indonesian people used to consume herbal medicines called "jamu", which is as a hereditary alternative medicine, to heal or fresh the body. Furthermore, the postpartum mother, who needs recovery after birth, also drinks the herbs. This essay employed a literature review of 14 ethnographic books conducted by National Institute of Health Research and Development, which focused on the herbal medicines for puerperal mothers. The results of the literature review revealed that the majority of mothers in Java and Sumatera using jamu during the postpartum period to heal and recover the mother's health. Not only do the mother drink jamu, but she also applies certain herbs on her body. Clinical trials have proved the efficacy of ingredients for herbal medicines. Therefore, people prefer to use the herbs because it is easy to find and inexpensive, and it also has a long-term effect on the mother's health and fitness. However, herbal medicine, which is usually employed by the people, needs further research, in particular, the dose of jamu. So, herbal medicine based on local wisdom can be one of consideration in the health development program. Keyword: Jamu, Pueperal, Traditional
Reclassification of Gonyaulax verior (Gonyaulacales, Dinophyceae) as Sourniaea diacantha gen. et comb. nov.

ABSTRACT Gonyaulax verior was initially described as Amylax diacantha from Belgian coastal waters a century ago but its detailed morphology needed restudy. Here, we established nine strains of G. verior by germinating cysts or isolating cells from localities from the European Atlantic to the Caspian Sea and the Pacific Ocean. Both cyst and thecal morphology were examined by light and scanning electron microscopy. SSU, LSU and/or ITS-5.8S rRNA gene sequences were obtained from all strains. Cells of G. verior have a plate formula of Po, 4′, 2a, 6-7′′, 6C, 6S, 6′′′, 1p, 1′′′′ with an L-type ventral organisation, characterised by two either straight or curved antapical horns of variable length. Cysts of G. verior are oval, smooth and contain one or two yellow accumulation bodies. The maximum-likelihood and Bayesian inference analyses based on SSU and LSU rRNA gene sequences revealed two clades of G. verior, referred to as ribotypes A and B. Genetic distances based on ITS-5.8S rRNA gene sequences within the same ribotype were less than 0.06, but greater than 0.32 between ribotypes. G. verior is reclassified as Sourniaea diacantha gen. et comb. nov., which is attributed to Lingulodiniaceae together with Pyxidinopsis, Lingulodinium and Amylax. Our results suggest that Lingulodiniaceae can be separated from Protoceratiaceae and Gonyaulacaceae based on ventral organisation, apical complex, ventral pore and number of anterior intercalary plates. One strain of S. diacantha was examined for yessotoxin production by LC-MS/MS but did not produce toxin.
A K-Band 5G Phased Array RX Channel With 3.3-dB NF and 28.5-dB Gain in 130-nm SiGe

This brief presents a low-noise K-band phased array receive channel implemented in a 130-nm SiGe BiCMOS process. The IC consists of a cascode LNA, a vector modulator phase shifter (PS), and a current-steering VGA. The LNA employs a shunt inductor at the intermediate node of the cascode for noise reduction purposes. The PS generates I/Q signals by lumped quadrature hybrids for low noise operation. Various process compensation capabilities are employed within the PS to reliably achieve high resolution. The measured results demonstrated a peak gain of 28.5 dB at 24 GHz with a 3-dB bandwidth of 22–27 GHz. The measured noise figure is 3.3 dB, which is better than state-of-the-art among Si-based phased-array channels. For 6-b phase control, the rms phase error is 4° and 0.2° without and with calibration, respectively; the rms gain error being 1 dB for both cases. For 4-b gain control with 0.4-dB/step, the rms amplitude/phase errors are 0.1-dB/0.5°. Across different phase settings, the IC has an OP1dB of −2 to −3 dBm, with a power consumption of 48 mW. The total chip area is 1.33 mm2, excluding the pads.
Improving Performance of Distributed Collaborative Beamforming in Mobile Wireless Sensor Networks: A Multiobjective Optimization Method

Mobile wireless sensor networks (MWSNs) are resource constrained, and have limited energy and transmission range. Distributed collaborative beamforming (DCB) in MWSNs based on a virtual node antenna array (VNAA) can increase the transmission distance and enhance the energy efficiency of a single sensor node. To achieve a lower maximum sidelobe level (SLL), sensor nodes can move to optimal locations with optimal excitation current weights for DCB. However, this leads to an extra motion energy consumption. In this article, we construct a multiobjective optimization framework (MOF) to jointly optimize the maximum SLL, transmission power, and motion energy consumption of the DCB nodes in MWSNs. Moreover, an improved nondominated sorting genetic algorithm-II (INSGA-II) and a distributed parallel INSGA-II (DPINSGA-II) are proposed for solving the formulated MOF. In addition, a simple but practical DCB scheduling mechanism is proposed. The simulation results show that the maximum SLL, transmission power, and motion energy consumption of the VNAA can be effectively optimized by the proposed algorithms.
Past behaviour, financial literacy and investment decision-making process of individual investors

This study aims to explore the importance of past behaviour and financial literacy in the investment decision-making of individual investors and examines the validity of the theory of planned behaviour in this context. ,The study used a self-administered questionnaire and adopted the convenience sampling technique followed by a snowball sampling method for the survey to collect data from the individual investors covering the four distinct states of India. Collected data were analysed on AMOS 20.0 using two-step structural equation modelling (SEM). ,Results indicated a significant effect of all the predictive variables. Past behaviour showed no significant direct impact on investor's intention; however, it had an indirect significant relationship while mediated by the attitude of investors. The multiple squared correlation (R2) showed that the final model could explain 36% of the variance in investors' intention towards stock investment which signified a successful implementation of the TPB model along with external variables added to it. Moreover, Indian investors were found to be highly influenced, primarily, by social pressure which could be curbed through financial literacy. ,A significant importance of subjective norms was found on stock market participation which could be a strategic theme for the government and the policymakers to educate investors through their opinion leaders for increasing their participation. Moreover, by doing so investors could control their behaviour and take rational decisions. ,This study extended the understandings of investor's decision-making behaviour using TPB by incorporating the two external variables viz., Financial literacy and past behaviour. The addition of past behaviour is perhaps the novelty of this article since such examination has not been conducted empirically especially in the case of developing countries like India.
Aprendizagem por meio do ensino híbrido na educação superior: narrando o engajamento dos estudantes

Este artigo apresenta resultados de uma pesquisa realizada de fevereiro a junho de 2019 que buscou conhecer como 50 estudantes do ensino superior dos cursos de tecnologia se envolvem em sua formação por meio do ensino híbrido. Objetivou-se identificar o engajamento estudantil e entender os desafios que os estudantes enfrentam ao estudar a partir de um modelo pedagógico inovador. Os dados foram construídos através de um grupo focal, dos diários de aprendizagem dos estudantes e da aplicação de uma escala de envolvimento. Para analisar os dados, utilizou-se a análise teórica para descobrir as conexões entre os resultados e descrevendo os achados. Os resultados apontaram que uma pequena parcela dos estudantes prefere o ensino tradicional, cerca de 14%. Porém, a maioria admitiu ter se engajado mais estudando por meio desse modelo pedagógico, mesmo tendo que superar desafios diários. Eles afirmaram que não desejariam voltar ao modelo tradicional, pois sentiram que suas aprendizagens foram mais profundas e significativas.
Dissemination Challenges of Liquefied Petroleum Gas in Rural India: Perspectives from the Field

We look at infrastructure and policies in India around the distribution of liquefied petroleum gas (LPG) to rural communities and incorporate the experiences and perspectives of dissemination personnel. This qualitative study is part of a larger case control study aimed at examining strategies to promote adoption and sustained use of clean cooking technology, particularly among the rural poor in southern India. Our focus on dissemination personnel helps illuminate extant policy implementation and strategies to increase LPG uptake among the poor. Thematic analysis of 13 semi-structured interviews points to gaps in workforce training, infrastructure, and interface of the technology with social norms. Reduction in refill costs and removal of LPG subsidies was widely suggested to increase uptake and use. Themes identified underscore that policies promoting LPG for the poor will have limited success in the absence of commensurate infrastructure for LPG dissemination and awareness. Despite being primary policy beneficiaries, the under-representation of women within energy governance such as LPG distribution systems identified in this study presents a gap that interventions should focus on. Perspectives from those at the frontiers of implementation of a national energy policy provide insights into the high points as well as operational setbacks to help understand dissemination strategies within energy systems.
Advanced Geometric-Based Inter Prediction for Versatile Video Coding

Block-based partitioning is one of the fundamental techniques in video coding. Geometric-based block partitioning is a well-studied method to enable better spatial adaptation to the signal properties. This paper introduces the most recent proposal of advanced geometric-based inter prediction (GIP) made to the state-of-the-art are video coding standard - Versatile Video Coding (VVC). Implemented in the latest test model VTM-6.0 to generalize the existing triangle partition mode (TPM) and evaluated with the Joint Video Experts Team (JVET) Common Test Conditions (CTC) sequences, the proposed advanced GIP scheme provides luma BD-rate reduction of 0.56% for random access (RA) and 1.37% for low-delay (LB) test cases with 2% encoder runtime increase and negligible decoder runtime increase. Furthermore, BD-rate reductions up to 2.92% and 3.49% for RA and LB test cases can be achieved in the absence of multiple related VVC inter prediction tools.
The influence of iron losses on selecting the minimum excitation capacitance for self-excited induction generator (SEIG) with wind turbine

The capacitance selection of the three-phase self-excited induction generators (SEIG) driven by wind energy is influences by the iron losses. This paper is dealing with this problem by constructing a steady state model of the generator supplying an induction oil pump. No previous literature studying the requirements of selecting the minimum excitation capacitance under the iron loss impact is found. This work is focusing on: (i) a novel evaluation of the characteristics of the induction generator taking iron loss into account. (ii) the errors caused by neglecting the iron loss. (iii) the importance of including the iron-loss in any accurate analysis. (iv) the errors occurred in the selection of the precise excitation capacitance (C exct ) when the iron-loss neglected. Nodal analysis is suggested to describe the study-state performance of the proposed model. A Matlab/simulation is established to validate the proposed model.
EVALUATING THE IMMEDIATE EFFECTS OF DEEP PRESSURE ON CHILDREN DEVELOPMENTAL COORDINATION DISORDER: DEMONSTRATING INDIVIDUAL DIFFERENCES

Objective: However, every occupational therapist used deep pressure for treating children with developmental coordination disorder (DCD). It has been used widely in the therapy aspect, but there is limited research evaluating the immediate effects of deep pressure. The current study aims to evaluate the immediate effects of deep pressure on children with DCD. Methodology: Pre-test and post-test design was employed; mood and behavior were assessed for 20 children with DCD before and after deep pressure sessions. Results: Five children responded with positive result on all the domains following deep pressure. Four showed positive result on three out of five domains. Sufficient information was available from eight participants. Three showed beneficial results statistically. A non-parametric technique (Tau-U) was used for the analysis. Conclusion: Deep pressure has high relevance to clinical practice and appears to be of immediate benefit to this population with DCD.
Influence of Friction Stir Processing on Mechanical Behavior of 2507 SDSS

Duplex stainless steel (DSS) is used for desalination equipment, pressure vessels, marine applications, offshore applications, and in oil/gas plants where a highly corrosive environment is present. Super duplex stainless steel (SDSS) 2507 has excellent mechanical properties, such as high strength, high toughness, high fatigue life, and high corrosion resistance. Friction stir processing (FSP) is used to refine the grain structure of the processed region such that properties like strength, hardness, fracture toughness, fatigue life, and corrosion resistance are enhanced. In this paper, an optimized friction stir process of 2507 SDSS is carried out to refine the microstructure of the material in order to improve its mechanical properties. Microstructure analysis revealed that grains were refined from a size of around 160 µm in the base material to 2–30 µm in the processed zone. This grain size reduction resulted in improved strength, hardness, and fracture toughness of the material by up to 14%, 11%, and 12%, respectively. However, FSP has reduced the fracture strain by about 30%.
Study on the optical spectra of MgAl2O4 with oxygen vacancies

ABSTRACT In this work, oxygen vacancies in MgAl2O4 crystal were investigated using the first-principles. The Heyd-Scuseria-Ernzerhof (HSE) was adopted to reproduce the experimental band gap. The finite-size correction scheme was applied to eliminate the unreal interaction between charged defects and their periodic images. Finally, taking into account of the electron-phonon coupling, we obtained the optical spectra of the F and F+ centres. The absorption peaks for the F and F+ centres are at 5.04 eV and 4.67 eV, respectively. Furthermore, we calculate the emission peak for the F centre is 3.28 eV. Comparing with the experimental results, the emission peak at 2.15 eV is related to the F+ centre.
Does openness to innovation matter? The moderating role of open innovation between organizational ambidexterity and innovation performance

ABSTRACT Based on organizational ambidexterity theory and knowledge-based view, this study presents a conceptual framework that links organizational ambidexterity, open innovation and innovation performance together and tested this framework by distributing questionnaires to senior managers in East and Mid-China to assess related variables. The empirical study analysis based on 274 returned questionnaires finds a non-linear relationship between organizational ambidexterity and innovation performance and the moderating effects of inbound and outbound open innovation on the ambidexterity-performance relationship. To effectively use organizational ambidexterity, firms need open innovation to use external ideas as well as internal ideas, and to take advantage of both internal and external paths to market.