Miracle-dz/UniFAR-FTUs huggingface dataset:
LEADERSHIP AND INNOVATIVE CULTURE INFLUENCE ON ORGANISATIONAL CITIZENSHIP BEHAVIOUR AND AFFECTIVE COMMITMENT: THE MEDIATING ROLE OF INTERACTIONAL JUSTICE

The contribution of faculty members has a significant impact towards the performance of the university. However, there has been a lack of empirical evidence which examines the role of academics in eliciting positive behaviours at work. The main objective of this study is to test the causal relationships between antecedents (e.g., leadership and innovative culture), and behavioural outcomes (e.g., organisational citizenship behaviour and affective commitment). Notably, the research introduces interactional justice as potential mediator to investigate the indirect effect of leadership and innovative culture on organisational citizenship behaviour and affective commitment. Three hundred and twenty-four academics in Malaysia participated in this study. Partial least square structural equation modelling (PLS-SEM) was used to test the causal links between the constructs. Findings suggest that interactional justice mediates the relationship between leadership and work outcomes (e.g., organisational citizenship behaviour and affective commitment). This implies that leadership and interactional justice play a key role in eliciting positive workplace behaviours. However, contrary to our expectations, interactional justice does not mediate the relationship between innovative culture and behavioural outcomes. The implications of the findings are discussed and recommendations for future research are proposed.
Physiological responses and storage quality of fresh-cut red and white dragon fruit (Hylocereus spp.) treated with 1-methylcyclopropene (1-MCP)

The effects of 1-MCP post-cutting application on the storage quality of fresh-cut red and white dragon fruit were determined using headspace gases (ethylene and CO2) concentration, antioxidant activity, visual evaluation (water soaking incidence and visual quality rating) and microbiological (yeast and mold count, aerobic plate count, and total coliform count) quality. Mature red and white dragon fruit were sanitized with ClO2 prior to fresh-cut processing. Gaseous 1-MCP was injected to fresh-cut fruits packed in polyethylene terephthalate (PET) trays with polyvinyl chloride (PVC) stretch film overwrap. These packs were stored at 5-10°C and assessed in terms of the storage quality parameters mentioned above. Treatment with 1-MCP positively affected headspace CO2 and ethylene in both species. Fresh-cut white dragon fruit showed better response to 1-MCP as compared to the fresh-cut red dragon fruit in terms of headspace CO2 concentrations. No water soaking incidence was recorded all throughout storage for the 1-MCP treated fresh-cut red dragon fruit while for the fresh-cut white dragon fruit, water soaking was observed on the 12th day of storage. For both species, 1-MCP delayed visual quality deterioration and increased antioxidant activity. Lower yeast and molds count, aerobic plate count and coliform count were observed in both species with 1-MCP treatment. Post-cutting treatment with 5ppm 1-MCP may positively affect storage quality of fresh-cut red and white dragon fruit.
Carbon isotope (δ 13 C) excursions suggest times of major methane release during the last 14 kyr in Fram Strait, the deep-water gateway to the Arctic

Abstract. We present results from a sediment core collected from a pockmark field on the Vestnesa Ridge (~ 80° N) in the eastern Fram Strait. This is the only deep-water gateway to the Arctic, and one of the northernmost marine gas hydrate provinces in the world. Eight 14C AMS dates reveal a detailed chronology for the last 14 ka BP. The δ 13C record measured on the benthonic foraminiferal species Cassidulina neoteretis shows two distinct intervals with negative values termed carbon isotope excursion (CIE I and CIE II, respectively). The values were as low as −4.37‰ in CIE I, correlating with the Bolling–Allerod interstadials, and as low as −3.41‰ in CIE II, correlating with the early Holocene. In the Bolling–Allerod interstadials, the planktonic foraminifera also show negative values, probably indicating secondary methane-derived authigenic precipitation affecting the foraminiferal shells. After a cleaning procedure designed to remove authigenic carbonate coatings on benthonic foraminiferal tests from this event, the 13C values are still negative (as low as −2.75‰). The CIE I and CIE II occurred during periods of ocean warming, sea-level rise and increased concentrations of methane (CH4) in the atmosphere. CIEs with similar timing have been reported from other areas in the North Atlantic, suggesting a regional event. The trigger mechanisms for such regional events remain to be determined. We speculate that sea-level rise and seabed loading due to high sediment supply in combination with increased seismic activity as a result of rapid deglaciation may have triggered the escape of significant amounts of methane to the seafloor and the water column above.
The Influence of Organizational Culture Employee Performance Intervening Variable Study at PT Perkebunan Nusantara XIV

This study aims to critically examine the application of by PT Perkebunan Nusantara XIV and its impact on This research was conducted at PT Perkebunan Nusantara XIV by taking data from permanent employees. Data collection was carried out by distributing questionnaires. who were selected using considerations, namely that they must have criteria as permanent employees and have a service period of more than 1 (one) year. The method of analysis is Structure Equation Modeling with the AMOS program version 24.0. The results s positive and significant influence on positive and significant influence on significant influence on employee performance, but performance. In addition, organizational culture on employee performance through organi
MASTERY OF CONCEPTS, SCIENTIFIC ATTITUDES, AND SCIENCE PROCESS SKILLS IN INQUIRY-BASED LEARNING IN THE 5th GRADE

The purpose of this study is to analyze the improvement mastery a concept, scientific attitude, and science process skill in the learning of structured and guided inquiry learning and analyzed the difference. This research was conducted in SDN Purwoyoso 02 and 03 with the quasyexperiment method, experiment class 1 using structured inquiry and exeperiment class 2 using guided inquiry learning model. Data analysis techniques use N-gain and independent samples t-test. The study showed the following results: (1) there is an increased of mastery of concepts, scientific attitudes and scientific process skills students in structured inquiry class with medium category gain. (2) there is an increase of mastery of concepts, scientific attitudes with and science process skills students in guided inquiry class with medium category gain. (3) there is a difference of mastery of concept, scientific attitude and science process skill between structured and guided inquiry class students. The result of mastery of scientific concepts, scientific attitudes, and inquiry skills of inquiry classes is higher than the structured inquiry class. The results of this study can be concluded that inquiry learning is better guided than structured inquiry.
Temperature dependence of the optical properties in p-Cd_0.96Zn_0.04Te single crystals

Photoluminescence (PL) measurements were performed on p-Cd_0. 96Zn_0. 04Te single crystals to investigate the dependence of the excitons on temperature. The activation energies and the longitudinal acoustic parameters of the excitons were determined from the temperature dependence of the PL spectra and were in reasonable agreement with the theoretical calculations. These results can help improve understanding for the application of p-Cd_ x Zn_1– x Te single crystals in optoelectronic devices.
MPKMS: A Matrix-based Pairwise Key Management Scheme for Wireless Sensor Networks

Due to the sensitivity of the Wireless Sensor Networks (WSN) applications and resource constraints, authentication and key management emerge as a challenging issue for WSN. In general, various approaches have been developed for the key management in WSN. This paper has come up with a new robust key pre-distribution scheme using random polynomial functions and matrix. This new proposed scheme significantly increases the storage efficiency and provides resilience to network against node capture by using random prime numbers, polynomial functions and matrix properties. The effectiveness of the scheme is demonstrated through a security analysis and comparison with the existing schemes.
Diferenças entre bananas de cultivares Prata e Nanicão ao longo do amadurecimento: características físico-químicas e compostos voláteis

Fresh green bananas [Nanicao (Musa sp., subgroup Cavendish) and Prata (Musa sp., subgroup Prata)] were studied during their ripening. Physical (firmness), physicochemical (pH, total titrable acidity and soluble solids) and chemical properties (sugars, phenolics and volatile compounds) were analyzed and showed significant differences (p < 0.05). Prata presented higher values of phenolic compounds, soluble solids, sugars and firmness than Nanicao. A method to quantify the emission of esters was developed by cryogenic headspace and gas chromatography. Acetates, butyrates, isobutyrates and isovalerates were predominant. Prata produced a higher volatile concentration than Nanicao, except for acetates. In most cases, the amount of volatiles increased continuously until peel browning, followed by a decrease or a plateau.
DESORPTION ISOTHERMS AND DRYING CHARACTERISTICS OF SHRIMP IN SUPERHEATED STEAM AND HOT AIR

ABSTRACT Desorption isotherms for shrimp were determined at the temperatures of 50, 60, 70 and 80°C. Amongst the moisture equilibrium predictions between the BET and GAB models, the latter has a better predictable capability. The GAB parameters are correlated with the temperatures by the Arrhenius expression. Drying characteristics of shrimp in drying media at the temperature range of 120–180°C for superheated steam and of 70–140°C for hot air have been examined. Drying rate and effective diffusion coefficient are used to quantify quantitatively the difference between the superheated steam and the hot air dryings. The temperature is more important effect on drying rate and effective diffusion coefficient in the superheated steam than in the hot air. Inversion temperature exists between 140 and 150°C. Comparing to the hot air, the shrimp dried by the superheated steam shows a lower degree of shrimp shrinkage. In addition, product colours are slightly different to those from the commercial sources.
[N,N′‐Bis(3‐aminopropyl)ethylenediamine]disaccharinatocadmium(II) 0.25‐hydrate

The asymmetric unit of the title compound, [Cd(C7H4NO3S)2(C8H22N4)]·0.25H2O, consists of two [Cd(sac)2(paen)] mol­ecules [sac is saccharinate (C7H4NO3S) and paen is N,N′-bis­(3-propyl­amine)ethyl­enediamine (C8H22N4)], and a partial- occupancy water mol­ecule. Each CdII ion is octa­hedrally coordinated. The equatorial plane of the octa­hedron is formed by N atoms of the paen ligands, and the axial positions are occupied by the N atoms of the sac ligands. In one of the mol­ecules, the sulfonyl group of a sac ligand is disordered over two different orientations, with site-occupancy factors of 0.83 and 0.17. N—H⋯O hydrogen bonding is observed between the independent mol­ecules. Neighbouring [Cd(sac)2(paen)] units are linked by N—H⋯O hydrogen bonds into chains running parallel to the a axis.
Statistical treatment for rejection of deviant values: critical values of Dixon's "Q" parameter and related subrange ratios at the 95% confidence level

Critical values at the 95% confidence level for the two-tailed Q test, and related tests based upon subrange ratios, for the statistical rejection of outlying data have been interpolated by applying cubic regression analysis to the values originally published by Dixon. Corrections to errors in Dixon's original tables are also included. It is recommended that the newly generated 95% critical values be adopted by analytical chemists as the general standard for the rejection of outlier values
A new mechanism for regional atmospheric chemistry modeling

A new gas-phase chemical mechanism for the modeling of regional atmospheric chemistry, the “Regional Atmospheric Chemistry Mechanism” (RACM) is presented. The mechanism is intended to be valid for remote to polluted conditions and from the Earth's surface through the upper troposphere. The RACM mechanism is based upon the earlier Regional Acid Deposition Model, version 2 (RADM2) mechanism [Stockwell et al., 1990] and the more detailed Euro-RADM mechanism [Stockwell and Kley, 1994]. The RACM mechanism includes rate constants and product yields from the most recent laboratory measurements, and it has been tested against environmental chamber data. A new condensed reaction mechanism is included for biogenic compounds: isoprene, α-pinene, and d-limonene. The branching ratios for alkane decay were reevaluated, and in the revised mechanism the aldehyde to ketone ratios were significantly reduced. The relatively large amounts of nitrates resulting from the reactions of unbranched alkenes with NO3 are now included, and the production of HO from the ozonolysis of alkenes has a much greater yield. The aromatic chemistry has been revised through the use of new laboratory data. The yield of cresol production from aromatics was reduced, while the reactions of HO, NO3, and O3 with unsaturated dicarbonyl species and unsaturated peroxynitrate are now included in the RACM mechanism. The peroxyacetyl nitrate chemistry and the organic peroxy radical-peroxy radical reactions were revised, and organic peroxy radical +NO3 reactions were added.
Effect of Untreated, Roasted and Germinated Black Gram (Phaseolus mungo) Flours on the Physico-chemical and Biscuit (Cookie) Making Characteristics of Soft Wheat Flour

Abstract Determination of the physico-chemical characteristics of composite soft wheat flours in which 5–25% (w/w) of the wheat flour was replaced with untreated, roasted and germinated black gram ( Phaseolus mungo ) flours (BGF) showed that when roasted BGF comprised 20% (w/w) of the blend, the increases in the ash and protein contents were 123% and 35%, respectively. The values for the gluten contents and the Zeleny and sodium dodecyl sulphate sedimentation test volumes for the composite flours indicated a weakening effect of BGF on the quality of soft wheat flour proteins, which could be beneficial for the preparation of biscuits (cookies). The alkaline water retention capacity values increased with the increasing addition of differently processed BGFs. Biscuit baking studies indicated that the diameter and spread ratio of biscuits were reduced, while the thickness increased, with increasing addition of all three BGFs, but the maximum reduction in diameter was observed with the addition of germinated BGF. The hardness value for biscuits increased with the addition of BGFs, but the effect was minimal with roasted BGF and maximal with germinated BGF. The surface grain score was reduced with increasing addition of BGF, but, in general, the roasted BGF showed the minimum adverse effect. From the overall biscuit making quality, addition of untreated BGF at the 15% level and of roasted and germinated BGFs at the 20% level were considered optimal for supplementing wheat flour.
Incremental Text-to-Speech Synthesis Using Pseudo Lookahead With Large Pretrained Language Model

This letter presents an incremental text-to-speech (TTS) method that performs synthesis in small linguistic units while maintaining the naturalness of output speech. Incremental TTS is generally subject to a trade-off between latency and synthetic speech quality. It is challenging to produce high-quality speech with a low-latency setup that does not make much use of an unobserved future sentence (hereafter, “lookahead”). To resolve this issue, we propose an incremental TTS method that uses a pseudo lookahead generated with a language model to take the future contextual information into account without increasing latency. Our method can be regarded as imitating a human's incremental reading and uses pretrained GPT2, which accounts for the large-scale linguistic knowledge, for the lookahead generation. Evaluation results show that our method 1) achieves higher speech quality than the method taking only observed information into account and 2) achieves a speech quality equivalent to waiting for the future context observation.
Training data-efficient image transformers & distillation through attention

Recently, neural networks purely based on attention were shown to address image understanding tasks such as image classification. However, these visual transformers are pre-trained with hundreds of millions of images using an expensive infrastructure, thereby limiting their adoption. In this work, we produce a competitive convolution-free transformer by training on Imagenet only. We train them on a single computer in less than 3 days. Our reference vision transformer (86M parameters) achieves top-1 accuracy of 83.1% (single-crop evaluation) on ImageNet with no external data. More importantly, we introduce a teacher-student strategy specific to transformers. It relies on a distillation token ensuring that the student learns from the teacher through attention. We show the interest of this token-based distillation, especially when using a convnet as a teacher. This leads us to report results competitive with convnets for both Imagenet (where we obtain up to 85.2% accuracy) and when transferring to other tasks. We share our code and models.
Seeing past words: Testing the cross-modal capabilities of pretrained V&L models on counting tasks

We investigate the reasoning ability of pretrained vision and language (V&L) models in two tasks that require multimodal integration: (1) discriminating a correct image-sentence pair from an incorrect one, and (2) counting entities in an image. We evaluate three pretrained V&L models on these tasks: ViLBERT, ViLBERT 12-in-1 and LXMERT, in zero-shot and finetuned settings. Our results show that models solve task (1) very well, as expected, since all models are pretrained on task (1). However, none of the pretrained V&L models is able to adequately solve task (2), our counting probe, and they cannot generalise to out-of-distribution quantities. We propose a number of explanations for these findings: LXMERT (and to some extent ViLBERT 12-in-1) show some evidence of catastrophic forgetting on task (1). Concerning our results on the counting probe, we find evidence that all models are impacted by dataset bias, and also fail to individuate entities in the visual input. While a selling point of pretrained V&L models is their ability to solve complex tasks, our findings suggest that understanding their reasoning and grounding capabilities requires more targeted investigations on specific phenomena.
Growth of Brazilian Cotton Cultivars in Response to Soil Applied Boron

ABSTRACT The growth of cotton (Gossypium hirsutum L.) was evaluated in a 6 × 5 factorial experiment with 6 boron (B) levels (0.0, 0.5, 1.0, 1.5, 2.0, and 3.0 mg dm−3), 5 cultivars (‘CNPA 8H’, ‘BRS Aroeira’, ‘BRS Antares’, ‘BRS Sucupira’, ‘BRS Ipe’), and 3 replications. As B increased in the soil, leaf B concentrations increased linearly in ‘BRS Aroeira’ and ‘CNPA 8H’, and quadratically in ‘BRS Ipe’ and ‘BRS Sucupira’. The concentrations of B in the leaves and in the soil increased with the B increasing in the soil. The agronomic characteristics evaluated showed ‘BRS Aroeira’ and ‘BRS Sucupira’ responding more and BRS responding less to the B doses applied. The variation in the effFiciency of B utilization was: ‘BRS Aroeira’ > ‘CNPA 8H’ = ‘BRS Antares’ > ‘BRS Sucupira’ > ‘BRS Ipe’. Cultivar ‘BRS Aroeira’ had the greatest potential to respond positively to the addition of B to the soil.
Influence of ground-Rydberg coherence in two-qubit gate based on Rydberg blockade

For neutral atom qubits, the two-qubit gate is typically realized via the Rydberg blockade eﬀect, which hints about the special status of the Rydberg level besides the regular qubit register states. Here, we carry out experimental and theoretical studies to reveal how the ground-Rydberg coherence of the control qubit atom aﬀects the process of two-qubit Controlled-Z ( C Z ) gate, such as the commonly used ground-Rydberg π -gap- π pulse sequence originally proposed in Phys. Rev. Lett. 85 , 2208 (2000). We measure the decoherence of the control qubit atom after the π -gap- π pulses and make a direct comparison with the typical decoherence time τ gr extracted from Ramsey fringes of the ground-Rydberg transition. In particular, we observe that the control qubit atom subject to such pulse sequences experiences a process which is essentially similar to the ground-Rydberg Ramsey interference. Furthermore, we build a straightforward theoretical model to link the decoherence process of control qubit subject to C Z gate π -gap- π pulse sequence and the τ gr , and also analyze the typical origins of decoherence eﬀects. Finally, we discuss the C Z gate ﬁdelity loss due to the limits imposed by the ground-Rydberg coherence properties and prospective for improving ﬁdelity with new gate protocols.
Out-distribution aware Self-training in an Open World Setting

Deep Learning heavily depends on large labeled datasets which limits further improvements. While unlabeled data is available in large amounts, in particular in image recognition, it does not fulfill the closed world assumption of semi-supervised learning that all unlabeled data are task-related. The goal of this paper is to leverage unlabeled data in an open world setting to further improve prediction performance. For this purpose, we introduce out-distribution aware self-training, which includes a careful sample selection strategy based on the confidence of the classifier. While normal self-training deteriorates prediction performance, our iterative scheme improves using up to 15 times the amount of originally labeled data. Moreover, our classifiers are by design out-distribution aware and can thus distinguish task-related inputs from unrelated ones.
Dynamical heterogeneities in non-entangled polystyrene and poly(ethylene oxide) star melts

Vagelis Harmandaris Institute of Applied and Computational Mathematics (IACM), Foundation for Research and Technology Hellas (FORTH), GR-70013 Heraklion, Crete, Greece Department of Mathematics and Applied Mathematics, University of Crete, GR-71409 Heraklion, Crete, Greece and Computation-based Science and Technology Research Center, The Cyprus Institute, 20 Constantinou Kavafi Str. , Nicosia 2121, Cyprus (Dated: December 24, 2020)
Photocatalytic Degradation of Rhodamine Dyes with Nano-TiO2

The photocatalytic degradation of various Rhodamine dyes with different functional groups, namely, Rhodamine B (C28H31ClN2O3), Rhodamine 6G (C28H31ClN2O3), Rhodamine Blue (C28H32N2O3), and Rhodamine 6G perchlorate (C28H31ClN2O7) was investigated under UV irradiation. The kinetics of degradation was determined in the presence of two catalysts: commercial Degussa P-25 and TiO2 synthesized by the combustion solution method. The effect of organic solvents (ethanol and acetonitrile) and metal ions (Cu2+, Fe3+, Zn2+, and Al3+) on the photodegradation of Rhodamine B was investigated. The presence of solvents and metal ions significantly reduced the degradation rate. A detailed Langmuir−Hinshelwood kinetic model was developed to explain the effect of Cu2+ on the rate of photodegradation. It was shown that the degradation rate reduces primarily because of a decrease in electron concentration.