Miracle-dz/UniFAR-FTUs huggingface dataset:
Exposure, Relaxation, and Rescripting Therapy for Trauma-Related Nightmares With Psychiatric Inpatients: A Case Series

Research has shown that posttraumatic stress disorder (PTSD) is a highly prevalent diagnosis for psychiatric patients, yet individualized care and treatment is limited in the inpatient acute care sector. Two case studies are presented which examine the use of Exposure, Relaxation, and Rescripting Therapy (ERRT) for chronic trauma-related nightmares, within a private acute care inpatient psychiatric hospital setting. ERRT is empirically supported with efficacy for veteran and civilian populations, however no research to date has been conducted with psychiatric inpatients. Two participants diagnosed with PTSD, suffering distressing trauma-related nightmares, completed ERRT over three sessions during their psychiatric hospital admission, with the aim of reducing the frequency and severity of nightmares and related psychological symptoms. PTSD, depression, sleep quality and quantity, and nightmare frequency and related distress, were measured pre-treatment, during treatment, and follow-up at one, 3 and 6 months. Only one participant reported ongoing nightmares by the third week of the intervention, with both participants reporting an absence of nightmares at the one and 3-month follow-ups, but mixed results by the 6-month follow-up. One participant also reported a reduction in PTSD symptoms and a mild improvement in depression. The results offer some preliminary support for the provision of ERRT for the treatment of trauma-related nightmares for psychiatric inpatients.
The technical efficiency of the Apulian winegrowing farms with different irrigation water supply systems

Apulia has a considerable demand of irrigation water, however high inefficiency levels of the collective water networks force most of the regional farms to use groundwater, with a consequent worsening of its quality, as well as of soil and crops characteristics. Therefore, the use of sustainable supply methodsfor irrigation water is desirable both through improvements of the collective networks and by appropriate economic tools.However, making the correct choices in these matters requires knowledge concerning the effects of the present water supply systems on the economic performance of farms.The objective of this study is to measure and compare the technical efficiency of winegrowing farms in northern Apulia that use different supply systems for irrigation water: groundwater from private wells, irrigation water from collective networks, and irrigation water from both private wells and collective networks. The results enable to understand if and how different supply systems of irrigation water affect the management of productive factors and inputs. These findings also provide useful information for appropriate policies aimed at preserving groundwater and its externalities, as well as at improving the economic performance of Apulian farms.
Three-Dimensional Fluid–Structure Interaction Case Study on Elastic Beam

A three-dimensional T-shaped flexible beam deformation was investigated using model experiments and numerical simulations. In the experiment, a beam was placed in a recirculating water channel with a steady uniform flow in the inlet. A high-speed camera system (HSC) was utilized to record the T-shaped flexible beam deformation in the cross-flow direction. In addition, a two-way fluid-structure interaction (FSI) numerical method was employed to simulate the deformation of the T-shaped flexible beam. A system coupling was used for conjoining the fluid and solid domain. The dynamic mesh method was used for recreating the mesh. After the validation of the three-dimensional numerical T-shaped flexible solid beam with the HSC results, deformation and stress were calculated for different Reynolds numbers. This study exhibited that the deformation of the T-shaped flexible beam increases by nearly 90% when the velocity is changed from 0.25 to 0.35 m/s, whereas deformation of the T-shaped flexible beam decreases by nearly 63% when the velocity is varied from 0.25 to 0.15 m/s.
A Study on the Development of Machine-Learning Based Load Transfer Detection Algorithm for Distribution Planning

Distribution planning refers to the act of estimating the risks of distribution systems that may arise in the future and establishing investment plans to cope with them. Forecasted loads are one of the most typical variables used to analyze the risk of the distribution system, thus the efficiency of distribution planning may vary depending on its accuracy. For these reasons, a lot of studies are also being conducted to perform load prediction by incorporating the latest methods, such as machine learning (ML). However, the unchangeable fact is that no matter what prediction method is used, the accuracy and reliability of the predicted load can vary depending on the reliability of the data used. In particular, the detection of temporary load increases, due to load transfer that can occur frequently in the distribution system are essential for securing high-quality data. Therefore, in this study, a LSTM (Long Short-Term Memory) based load transfer detection model was proposed, and the appropriateness and reliability of the proposed method were analyzed by comparing actual planned load transfer data with the estimated load transfer results from the proposed model. It was also shown that the proposed model can improve the efficiency and reliability of the distribution planning by reasonably removing load variations, due to load transfer.
Heating of the Midshelf and Inner Shelf by Warm Internal Tidal Bores

Cross-shore heat flux (CHF) spatiotemporal variability in the subtidal (ST), diurnal (DU), and semidiurnal (SD) bands is described for 35 days (summer 2015) from collocated vertical measures of temperature and currents obtained by moorings deployed from 50- to 7-m water depths near Pt. Sal, California. The CHF is largest in the ST and SD bands, with nearly zero contribution in the DU band. The sum of CHF and surface heat flux (SHF) account for 31% and 17% of the total change in heat storage on the midshelf and inner shelf, respectively. The ST CHF for the midshelf and inner shelf is mostly negative and is correlated with upwelling-favorable winds. A mostly positive SD CHF on the midshelf and inner shelf decreases linearly in the shoreward direction, is correlated with wind relaxations, and is attributed to warm-water internal tidal bores (WITBs) that are observed to propagate to the edge of the surf zone. A negative SD CHF is correlated with upwelling-favorable winds on the midshelf at 15–25-h time lags, and is believed to be associated with cold-water internal tidal bores. The WITBs have characteristics of progressive waves on the midshelf and transition to partially standing waves on the inner shelf potentially reducing the SD CHF contribution on the inner shelf. Heat accumulation over the midshelf and inner shelf is primarily driven by WITBs and SHF, which is largely balanced by cumulative cooling by ST processes over the midshelf and cumulative cooling by alongshore heat flux (AHF) over the inner shelf.
Experimental Analysis Of Carbopol Gels Inside a Cubical Cavity Across Differentially Heated Plates

—Viscoplastic ﬂuids are the class of ﬂuids with a yield stress that governs their ability to ﬂow. This research deals with the effect of temperature difference applied across a viscoplastic ﬂuid (carbopol gel) and studies the various ﬂow regimes depending on the onset of the ﬂow. Reasonable efforts have been made to estimate the experimental ﬂow onset times and investigate the onset of the ﬂow at different yield stress values. The idea behind the proposed research is to characterize the natural convection of yield stress ﬂuids. The ﬂow ﬁeld characterization is carried out using a PIV system. The post processing is done using PIVlab, a useful add-on for MATLAB. In this paper, ∆ T refers to the temperature difference across the cavity. We investigated that noﬂow ∆ T is increased as yield stress increases. We also found that ﬂow development is delayed with an increase in yield stress and decreases with increasing ∆ T for all carbopol concentrations.
Symmetry analysis, invariant subspace and conservation laws of the equation for fluid flow in porous media

The equation for fluid flow in porous media is analyzed in this paper with the aid of Lie symmetry method (LSM) and invariant subspace method (ISM). Infinitesimal generators, the entire geometric fields of the vectors and the symmetry groups of the equation being considered are given. One-dimensional optimal systems of sub-algebra are reported with corresponding reduced nonlinear ordinary differential equations. By means of ISM, we determine the exact solutions and invariant subspaces (ISs) for the equation under consideration. Moreover, with the aid of the new theorem of conservation, we establish the conservation laws (CLs) for the governing equation. The construction of the conserved vectors reveals the integrability and existence of soliton solutions of the equation for fluid flow in porous media.
Implementing Data Strategy: Design Considerations and Reference Architecture for Data-Enabled Value Creation

With the arrival of Big Data, organizations have started building data-enabled customer value propositions to increase monetizing and cost-saving opportunities. Organizations have to implement a set of guidelines, procedures, and processes to manage, process and transform data that could be leveraged for value creation. This study has approached the journey of an organization towards data-enabled value creation through four levels of data processing, such as data extraction, data transformation, value creation, and value delivery. This study has critical inferences on using data management solutions such as RDBMS, NoSQL, NewSQL, Big Data and real-time reporting tools to support transactional data in internal systems, and other types of data in external systems such as Social Media. The outcome of this study is a methodological technology independent data management framework an organization could use when building a strategy around data. This study provides guidelines for defining an enterprise-wide data management solution, helping both the academicians and practitioners.
Role of financial development in economic growth in the light of asymmetric effects and financial efficiency

The growth effects of financial development might be asymmetric and nonlinear according to the level of financialisation of countries. As a corollary to this notion, in the subject study, we developed a three-regime Threshold Autoregressive Distributed Lags (TARDL) model, which allows us to accommodate the asymmetric effect of financial development on economic growth in top ten financially-developed countries. We augmented the TARDL model by including trade openness, capital formation and labour as potential determinants of economic growth. The empirical findings revealed the existence of threshold asymmetric cointegration between variables. In particular, in the upper regime, financial development boosts economic growth in Singapore while it exerts a negative impact on economic growth in Finland. In the middle regime, financial development increases economic growth in Australia and Singapore. However, in the lower regime, financial development hampers economic growth in the US, Malaysia and Singapore. Trade openness has a positive long-run influence on economic growth in Canada, South Africa, Australia, Malaysia, New Zealand, Singapore, Finland and Norway. Capital formation strengthens economic growth in the US and Malaysia in the long-run. Labour is found to sustain economic growth in the long-run for Malaysia and Singapore. The dynamic multipliers which depict the response path of economic growth to a one-unit shock of financial development in the three regimes highlight the discrepancies in the reaction of economic growth to financial development shocks occurring in different regimes. Important policy implications can be instigated from the empirical results.
Effect of Dietary Supplementation of Garlic on the Haemato-biochemical Parameters and Performance of Broiler Chickens -

An experiment was conducted to investigate the effect of dietary supplementation of garlic on the heamato-biochemical response and performance of broiler chickens. Cobb 400 chicks (n=480) were randomly distributed into four groups, further subdivided into four replicates of thirty chicks in each group. The chicks were kept under uniform managemental conditions on deep litter system from day 0 up to 6th weeks of age. Significant (p
Effectiveness of simulations versus traditional approach in teaching physics

Computers and computer simulations are no longer new tools in education. The question is whether computer simulations can partially or even completely replace the traditional approaches. In this paper, we describe the outcome of our research, where computer simulations as teaching tools were a competitor to the traditional approach at local grammar schools. Selected factors that may influence the results were taken into account, such as the topic, the teacher’s role or the worksheet layout and its style of guidance. We arranged several modules of didactic experiments, and those showing different ways of organizing the structure of a module are described here. As our results show, computer simulations provide comparable options and are a fully fledged teaching tool, and not only a complementary one.
An Improved AdaBoost Algorithm for Hyperparameter Optimization

AdaBoost algorithm is a typical Boosting algorithm, which belongs to a successful representative in the Boosting family. This algorithm can upgrade a weak classifier with a better classification effect than random classification to a strong classifier with high classification accuracy, where n_estimators represents the number of iterations of the base classifier. If the value is too large, it will easily cause the model to overfit, if it is too small, it is easy. The model is under-fitting, and the parameter setting is not set randomly, but according to the current status of the data set. Aiming at the problem that the number of iterations in the AdaBoost algorithm is uncertain, this paper introduces a Bayesian optimization algorithm for hyperparameter tuning, which makes the value of hyper parameter in AdaBoost algorithm suitable for the current data set, and finally obtains a hyperparameter optimization AdaBoost algorithm. The experiment result shows the method that adopt Bayesian optimization algorithm for hyperparameter optimization and apply the optimized hyperparameter value to the AdaBoost algorithm does not only improves the classification accuracy of the AdaBoost algorithm, but also avoids overfitting and underfitting of the model.
Morphophysiological Changes in Cenchrus cili aris and Digitaria co m mutata Subjected to Water Stress

Among abiotic stresses, water stress is the most environmental constraint for crops, especially in the arid and semi-arid tracts of the world. It reduces growth and development that may cause diverse disturbance in physiological, biochemical and structural integrity of plants. In this view, we assess here drought-induced changes in Cenchrus ciliaris and Digitaria commutata. Seedlings were grown under two watering regimes for three months. Water stress significantly restricted the photosynthesis and growth activity of both species. Interestingly, water deficit led to a slight decrease of relative water content (RWC). The maximal quantum yield of PSII photochemistry (Fv/Fm) remained unchanged. However, in light-adapted leaves, water deficit reduced the efficiency of excitation energy capture by open PSII reaction centers (Fv’/Fm’) and the quantum efficiency of the photosystem II (ΦPSII), increased the non-photochemical quenching (qN) and showed no effects on the photochemical quenching (qP). These results suggest that C. ciliaris and D. commutatashowed a better aptitude to preserve the PSII functional integrity, thereforea relatively good tolerance to water deficit.
HDACi-induced DNA damage: identifying potential endpoints for safety assessment

Histone deacetylase inhibitors (HDACi) have been designed to alter the actions of epigenetic modifiers with the aim of 'reprogramming' the epigenome of diseased tissues back to their normal disease-free state. These inhibitors were designed to be non-DNA reactive and therefore considered safe from a genetic toxicology point of view. However, HDACi’s have been shown to induce DNA damage in healthy cells through unknown mechanisms, thereby posing significant risks to human health. Studies suggest that HDAC inhibitor-induced DNA damage is partly associated with changes in transcription and replication. Consequently, collisions between these events can result in the formation of DNA lesions and stable DNA:RNA hybrid structures (R-loops), which are implicated in the onset of cancer and various neurological diseases. Therefore, the aims of the current study were to better understand the mechanisms by which HDAC inhibitors may induce DNA damage and to identify potential endpoints for safety assessment: Chapter III: Efforts to study the effects of HDAC inhibition through a chemical approach proved unsuccessful in the yeast model organism but identified the HDAC mutant, rpd3Δ, showing histone hyper-acetylation compared to the wild type. Chapter IV: ChIP-chip was established for the TK6 lymphoblastoid cell line as a genome-wide tool for measuring the genotoxicity of HDAC inhibitors. Chapter V: Application of the ChIP-chip method showed that Trichostatin A-induced changes in histone H4 acetylation led to the re-distribution of transcription and replication on chromosome 17 in TK6 cells. This resulted in their co-localisation, suggestive of potential collisions. However, further efforts to determine this by mapping γH2AX and R-loop formation proved unsuccessful. Chapter VI: The yeast genetic mutant rpd3Δ was used to mimic the effects of treating with an HDAC inhibitor. The loss of RPD3 resulted in significantly higher levels of γH2A, predominantly at telomere regions. In conclusion, this thesis presents strong evidence to show that Trichostatin A promotes the co-localisation of transcription and replication, suggesting that there is a greater possibility of these processes colliding to form DNA damage.
Subcritical Water Extraction of Epigallocatechin Gallate from Camellia sinensis and Optimization Study Using Response Surface Methodology

Background: Camellia sinensis is a plant whose leaves and buds are used to produce tea. With many medicinal activities already found, green tea has been consumed widely in the world. Methods: The subcritical water extraction (SWE) of epigallocatechin gallate (EGCG) from green tea leaves and the effect of the different extraction conditions are investigated by response surface methodology (RSM). Furthermore, the model of the extraction processes is reviewed for application at the industrial scale. Results: Based on the RSM data, the maximum yield of extraction is determined via optimizing different parameters of the extraction processes. Optimal conditions are as follows: extraction time of 6 min, extraction temperature at 120 °C, and a sample/solvent ratio of 1:40 g/mL. Under such conditions, the best yield of EGCG is 4.665%. Moreover, the model of the extraction processes, which can be utilized for industry scale purpose, indicates a good correlation with the experimental data. Conclusions: Overall, SWE is competent and environmental-friendly, and it is also a highly selective and fast method. SWE is a promising method to take the place of organic solvents used in the extraction of weak polar and even non-polar natural compounds. Further studies on the scale-up of the extraction processes are ongoing.
Significance of the globally threatened Straw-headed Bulbul Pycnonotus zeylanicus populations in Singapore: a last straw for the species?

Summary The globally threatened Straw-headed Bulbul Pycnonotus zeylanicus is one of South-East Asia’s most imperilled songbirds due to the surging demand for the species in the regional bird trade. Recently uplisted from Vulnerable to Endangered, populations of the Straw-headed Bulbul have been extirpated from Java, Thailand and possibly Sumatra while those in Borneo and Peninsular Malaysia are in decline. Intriguingly, a significant yet rarely documented population of this species persists in Singapore. A major stronghold in Singapore is Ubin Island where a population is known since the 1920s. Using a long-term citizen science dataset rarely available for South-East Asian bird species, we determined the status and population trends of the Straw-headed Bulbul in Singapore over a 10–15 year period using Poisson regression models and standardised population indices. We found that the Straw-headed Bulbul population has increased at a rate of 3.69 ± 1.21% per annum on Ubin Island, while the population on Singapore Island remained stable (0.56% per annum) from 2000 to 2016. The population trends in Singapore contrast starkly with the declines reported elsewhere in South-East Asia. We estimated the population in Singapore to be a minimum of 202 individuals, distributed over multiple forest patches. The largest subpopulation of about 110 adult individuals persists on Ubin and which alone forms between 6.5–18.3% of the estimated global population in 2016. Given this unique situation, we recommend a number of conservation measures for the Straw-headed Bulbul to better protect the species, including: (1) an expansion of the protected area network in Singapore to include Ubin as a reserve, (2) the development of an endangered species management plan and, (3) the establishment of ex-situ conservation programmes in zoological institutions and wildlife centres in the region.
Atomic‐Scale Simulations of Meteor Ablation

Meteoroids smaller than a microgram constantly bombard the Earth, depositing material in the mesosphere and lower thermosphere. Meteoroid ablation, the explosive evaporation of meteoroids due to erosive impacts of atmospheric particles, consists of sputtering and thermal ablation. This paper presents the first atomic‐scale modeling of sputtering, the initial stage of ablation where hypersonic collisions between the meteoroid and atmospheric particles cause the direct ejection of atoms from the meteoroid surface. Because meteoroids gain thermal energy from these particle impacts, these interactions are important for thermal ablation as well. In this study, a molecular dynamics simulator calculates the energy distribution of the sputtered particles as a function of the species, velocity, and angle of the incoming atmospheric particles. The sputtering yield generally agrees with semi‐empirical equations at normal incidence but disagrees with the generally accepted angular dependence. Λ, the fraction of energy from a single atmospheric particle impact incorporated into the meteoroid, was found to be less than 1 and dependent on the velocity, angle, atmospheric species, and meteoroid material. Applying this new Λ to an ablation model results in a slower meteoroid temperature increase and mass loss rate as a function of altitude. This alteration results in changes in the expected electron line densities and visual magnitudes of meteoroids. Notably, this analysis leads to the prediction that meteoroids will generally ablate 1–4 km lower than previously predicted. This affects analysis of radar and visual measurements, as well as determination of meteoroid mass.
Ampliação da distribuição de Molossops neglectus Williams & Genoways (Chiroptera, Molossidae) para o Sul da América do Sul

E reportado o primeiro registro de Molossops neglectus Williams & Genoways, 1980 para o Estado do Rio Grande do Sul e se estabelece um novo limite sul na distribuicao da especie na America do Sul. Foram coletados tres exemplares em Frederico Westphalen (27o21’33”S e 53o23’40”W) nos dominios da Floresta Estacional Decidual. Dos especimes coletados, sao apresentados dados morfometricos, diagnose e dados que contribuem para o conhecimento da biologia reprodutiva da especie. E ainda citado um hemiptero ectoparasito.