Miracle-dz/UniFAR-FTUs huggingface dataset:
Contact with mental health services in the 12-month period before offending in a cohort of forensic order patients

There has been limited research examining the details of mental health service contact in the pre-offending period. A retrospective case-note study of the complete cohort of people found not criminally responsible or permanently unfit for trial in Queensland, Australia, was conducted. An electronic clinical database search for seven treatment event types in the 12-months pre-offence was conducted. Of the 123 eligible patients, half were recorded as having experienced at least one treatment event. There was a statistically significant increase in the number of patients experiencing a treatment-related event per month over this 12-month pre-offence period (increase of ∼1.4 patients per month, p < .001). The findings highlight the need for appropriate weight to be placed on both longitudinal and recent factors when undertaking routine clinical review or mental health assessment, or considering changes to a patient’s diagnosis and treatment plan. Screening in custody and early intervention are also indicated to ensure appropriate treatment.
The Role of Green Infrastructure in Enhancing Microclimate Conditions: A Case Study of a Low-Rise Neighborhood in Abu Dhabi

Urban heat islands are characterized by the increased temperature in urban areas compared with the rural surroundings due to human-made interventions that replace natural lands with buildings and roads. This study focuses on the assessment and utilization of using local nature-based solutions such as trees, sensitive landscaping types and design strategies to enhance microclimate in neighborhood streets and the public realm in desert areas, taking Abu Dhabi as a case study. The research utilizes a design-based approach to propose landscaping and layouts of urban street trees in low-rise residential urban areas. In this study, two methods namely an on-site measurement using citizen science, and a numerical simulation model in the ENVI-met software are used. Site-measurements included the tree physical characteristics such as tree height, crown width (crown spread/diameter), and trunk height, and the use of technology (photography and the Fulcrum mobile application, Nikon Forestry pro Laser Rangefinder) and air temperature around trees. ENVI-met included four scenarios: 1—“no-vegetation”, 2—“grass-only”, 3—“existing conditions” and 4—“proposed landscape design”. Grass and three types of local street trees are used in the proposed scenarios including Ghaf, Poinciana, and Temple tree. In addition, a standard of 6 and 8 m spacing between each tree is applied to determine the effect of varying vegetation densities on the outdoor temperature. The combined results using citizen science and the model allowed the identification of particular urban tree species that show substantial cooling effects. This is the case of Poinciana trees, which decreased the air temperature up to 0.9 °C when spaced every six meters in pathways and open unshaded areas amongst alleys, improving the overall thermal conditions in neighborhoods of hot-arid landscapes.
Acute Diuretic-Sparing Effects of Sacubitril-Valsartan: Staying in the Loop

Background: Previous literature has suggested a potential diuretic sparing effect as early as 6 months following sacubitril-valsartan initiation in patients with heart failure with reduced ejection fraction (HFrEF); however, whether this effect manifests earlier after initiation is unclear. Objective: To evaluate the acute diuretic-sparing effects of sacubitril-valsartan. Methods: This was a single-center, retrospective analysis of outpatients with HFrEF initiated on sacubitril-valsartan with follow up within 90 ± 30 days and a concomitant loop diuretic prescription. The primary outcome was the percent of patients with an increase, decrease or no change in loop diuretic total daily dose (TDD). Key secondary outcomes included change in loop diuretic TDD (mg furosemide equivalents) and hospital admissions or emergency department (ED) visits. Results: A total of 145 patients were included (overall cohort) with 120 continuing sacubitril-valsartan at follow up (on-treatment cohort). In the on-treatment cohort, 20% (n = 24) had a reduction in loop diuretic TDD and 10% had an increase (n = 12). Median change in loop diuretic TDD was unchanged from baseline to follow up (p 0.13). In patients on >80 mg TDD of furosemide at baseline (n = 9), mean change was-53 ± 44 mg (p 0.006). Hospitalizations (6.2%) and ED visits (0.7%) for heart failure were infrequent. Conclusion: Patients may require a loop diuretic dose reduction within 2-3 months following sacubitril-valsartan initiation. This diuretic-sparing effect appears larger in those on higher baseline loop diuretic doses, and closer follow up may be warranted for these patients.
Rapid Hydrothermal Deoxygenation of Oleic Acid over Activated Carbon in a Continuous Flow Process

In this study, a novel approach to converting fatty acids into n-alkanes was investigated. Fuel range hydrocarbons were obtained in a continuous flow process from oleic acid using near- and supercritical water as the reaction medium, granulated activated carbon as a catalyst, and 1% v/v formic acid as an in situ source of hydrogen. Experiments were conducted in a packed tubular reactor with the weight hourly space velocity of 4 h–1 at temperatures from 350 to 400 °C and pressure 3500 psi (24.1 MPa). The oil to water to formic acid ratio was 1:5:0.05 by volume. The main reaction pathways were hydrogenation of oleic acid and decarboxylation/decarbonylation of the resulting stearic acid to form heptadecane. The yield of heptadecane of above 70% with a selectivity 80% was observed between 370 and 380 °C. The results of the study show that efficient hydrothermal deoxygenation of fatty acids can be achieved with activated carbon as a catalyst and formic acid as an in situ source of hydrogen within minutes. Kine.
Antecedents of the Green Behavioral Intentions of Hotel Guests: A Developing Country Perspective

The current study sought to extend the literature on antecedents of the green behavioral intentions of hotel guests in a developing country context. Building on the theory of planned behavior and moral norm-activation theory, antecedents of the green behavioral intentions of hotel guests were proposed and tested using a developing country as a field of study. Data were collected from 203 hotel guests, and the proposed model was analyzed using a structural equation modeling technique. The results showed that altruism helps in developing positive attitudes, and these attitudes have a significant influence on hotel guests’ green behavioral intentions. Similarly, cognitive aspects, including quality attributes and value for money, also play a role in developing positive intentions for willingness to pay more and revisit intentions. Inconvenience has a significant negative impact on revisit intentions, and quality attributes have a significant positive impact on willingness to pay more.
Meditation, Music, and Flow: A Comparison of the Effects of Meditation and Music in Inducing “Flow” and Impacting Computer Game Performance in Indian Teenagers

The research topic of we studied was the experience of flow, which refers to a state of total ab-sorption in an activity, and how to induce it in order to optimize performance. The overall re-search aim was to conduct an in-depth analysis of the impact of meditation and music in induc-ing a flow state for Indian high school students and the concomitant effect on their perfor-mance. Using an experimental approach, we divided participants into 3 groups: Control Group, Meditation Group, and Music Group. We measured he effects of the interventions on the partic-ipants’ performance based on the changes between the scores of two rounds of playing Temple Run (an online game). We measured the game timings during the first and second rounds using a stopwatch provided by the game. The results were statistically insignificant for all three groups; the interventions had a minuscule effect on average performance and flow experience. There also wasn’t any indication of a positive relationship between flow experience and game performance. However, individual analysis showed a positive relationship between frequent meditation and performance and flow. There was also evidence of attentional focus and music between 50 and 80 BPM improving performance and inducing a flow experience. Performance pressure causing stress for participants negatively impacted both performance and flow, and so did inexperience with meditation. Also, music with lyrics and distance from the 50-80 BPM range had a similarly negative effect on both performances. This study has implications in clin-ical diagnoses regarding the customized prescription of therapeutic interventions and experi-mental fields concerning person-activity fit.
An experimental approach on energy dissipation of bolted joints using a modified oscillator device

A modified and simplified oscillator device is designed and manufactured to investigate the effects of contact roughness and bolt arrangements on energy dissipation caused by joint damping. Three types of surface roughness and five different bolt arrangements are discussed. Identification of Iwan model based on experimental data is carried out. It is indicated that rough surface dissipates more energy than smooth one. Specimens with more bolts dissipate relatively more energy. When bolt number is consistent, the series type dissipates more energy than the parallel type. Experimental data show a good stability and accuracy of the proposed oscillator device. The identified Iwan model provides a good conformity with the reconstructed hysteresis loop. The four-parameter Iwan model can well describe the damping property of joints with different surface roughness and bolt arrangements.
The role of national culture as a lens for stakeholder evaluation of corporate social performance and its effect on corporate reputation

Studies have shown that corporate social performance (CSP) is an antecedent of corporate reputation, acting as a signal that affects stakeholders’ perceptions and expectations about a firm’s future behavior. However, the perceptions, expectations, and interests of stakeholders may be affected by external factors, such as national culture, which shapes their beliefs about what role companies play in society. Drawing on institutional theory and Hofstede’s cultural dimensions, we analyze how stakeholders’ national culture moderates the relationship between CSP and corporate reputation. The results of the analysis of an international sample for the period 2010 to 2016 show that low individualism (i.e., collectivism), low masculinity (i.e., femininity), low power distance, and low uncertainty avoidance intensify the positive relationship between CSP and corporate reputation. JEL CLASSIFICATION: M14, L14
Isolation and Molecular Characterization of Riemerella anatipestifer from Domesticated Ducks of Assam, India

Background: Riemerella anatipestifer (R. anatipestifer) is a gram negative, microaerophilic, non-motile, bipolar bacteria. High genetic diversity and molecular differentiation were reported among field isolates. Although the bacterium causes one of the most economically important duck diseases in the north-eastern region of India, little work has been done on isolation, identification and molecular characterization of the bacteria. Hence, the present investigation was undertaken with a view to characterize the R. anatipestifer isolates from ducks of Assam.Methods: Phenotypic and molecular identification of R. anatipestifer isolates from domesticated ducks of Assam, India were carried out during the period from February, 2019 to January 2020. A total of 624 samples (Ocular swab, throat swab, liver, spleen, kidney, brain, heart, lung) from ducks comprising of apparently healthy, ailing and dead ducks were collected from five districts of Assam, India were processed to isolate and identify the bacteria. The tentative identification of the bacteria was done based on phenotypic characteristics viz., colony morphology, growth characteristics and biochemical reactions. All the phenotypically positive isolates were further subjected to molecular identification based on PCR assay targeting 16S rRNA gene and ERIC sequence.Result: The bacteria could be isolated from different field samples. The highest percentage of the samples that yielded the bacteria are from brain (76%) followed by spleen (74%) of dead ducks and less number of ocular swab (33%) from apparently healthy ducks were found positive. Sequencing of the amplified product of the selected R. anatipestifer isolates targeting 16S rRNA gene revealed homology percentage of 96.5-100%. Further, sequences representing five geographical locations were submitted to NCBI gene bank. Phylogenetic studies of the isolates indicated that there is prevalence of at least two genetically different strains of R. anatipestifer in the study area. The study suggested that the R. anatipestifer infection is endemic in Assam causing varying rate of morbidity (39%) and mortality (53%) and molecular based confirmation is necessary besides phenotypic identification.
Analysis of Harmonic Resonance Characteristics in Grid-Connected LCL Virtual Synchronous Generator

The virtual synchronous generator (VSG), which emulates the essential behavior of the conventional synchronous generator, has attracted great attention. This paper proposes to analyze the harmonic resonance characteristics in VSG using the state-space model. The analysis is based on a full-order state-space small-signal model that fully considers the dynamic of the inner loops and the VSG-based outer power control loop. Participation analysis is used to point out the contributions of different states to the eigenvalues. Moreover, eigenvalue locus and singular value decomposition (SVD) are applied together to evaluate the impact of the inner loop parameters on the harmonic resonance characteristics around the LCL filter resonance frequency. The analysis indicates that the harmonic resonance instability is mainly caused by decreasing the proportional gains of the current loop and the voltage loop. Finally, extensive numerical simulation and experimental results are given to verify the validity of the theoretical analysis. Both the simulation and experimental results indicate that the voltage of the common coupling point is unstable after decreasing the proportional gains of the current and voltage controllers. As Kpc decreases from 5 to 0.4 or Kpv decreases from 0.6 to 0.2, the harmonic distortion factor (HDF) around the LCL filter resonance frequency increases. Furthermore, the consistency of simulation results, experimental results, and the theoretical analysis results is validated.
Adsorption/Desorption Capability of Potassium-Type Zeolite Prepared from Coal Fly Ash for Removing of Hg2+

The feasibility of using potassium-type zeolite (K-type zeolite) prepared from coal fly ash (CFA) for the removal of Hg2+ from aqueous media and the adsorption/desorption capabilities of various potassium-type zeolites were assessed in this study. Potassium-type zeolite samples were synthesized by hydrothermal treatment of CFA at different intervals (designated CFA, FA1, FA3, FA6, FA12, FA24, and FA48, based on the hours of treatment) using potassium hydroxide solution, and their physicochemical characteristics were evaluated. Additionally, the quantity of Hg2+ adsorbed was in the order CFA, FA1 < FA3 < FA6 < FA12 < FA24 < FA48, in the current experimental design. Therefore, the hydrothermal treatment time is important to enhance the adsorption capability of K-type zeolite. Moreover, the effects of pH, temperature, contact time, and coexistence on the adsorption of Hg2+ were elucidated. In addition, Hg2+ adsorption mechanism using FA48 was demonstrated. Our results indicated that Hg2+ was exchanged with K+ in the interlayer of FA48 (correlation coefficient = 0.946). Finally, adsorbed Hg2+ onto FA48 could be desorbed using a sodium hydroxide solution (desorption percentage was approximately 70%). Our results revealed that FA48 could be a potential adsorbent for the removal of Hg2+ from aqueous media.
Forecasting and Modelling the Uncertainty of Low Voltage Network Demand and the Effect of Renewable Energy Sources

More and more households are using renewable energy sources, and this will continue as the world moves towards a clean energy future and new patterns in demands for electricity. This creates significant novel challenges for Distribution Network Operators (DNOs) such as volatile net demand behavior and predicting Low Voltage (LV) demand. There is a lack of understanding of modern LV networks’ demand and renewable energy sources behavior. This article starts with an investigation into the unique characteristics of householder demand behavior in Jordan, connected to Photovoltaics (PV) systems. Previous studies have focused mostly on forecasting LV level demand without considering renewable energy sources, disaggregation demand and the weather conditions at the LV level. In this study, we provide detailed LV demand analysis and a variety of forecasting methods in terms of a probabilistic, new optimization learning algorithm called the Golden Ratio Optimization Method (GROM) for an Artificial Neural Network (ANN) model for rolling and point forecasting. Short-term forecasting models have been designed and developed to generate future scenarios for different disaggregation demand levels from households, small cities, net demands and PV system output. The results show that the volatile behavior of LV networks connected to the PV system creates substantial forecasting challenges. The mean absolute percentage error (MAPE) for the ANN-GROM model improved by 41.2% for household demand forecast compared to the traditional ANN model.
Chlamydial Pgp3 Seropositivity and Population-Attributable Fraction Among Women With Tubal Factor Infertility

Chlamydia trachomatis Pgp3 seropositivity is associated with tubal factor infertility in non-Black women without endometriosis. Past chlamydial infection may account for tubal factor infertility in 20% of these women. Background Chlamydial infection is associated with tubal factor infertility (TFI); however, assessment of prior chlamydial infection and TFI is imperfect. We previously evaluated a combination of serological assays for association with TFI. We now describe the chlamydial contribution to TFI using a newer Chlamydia trachomatis Pgp3-enhanced serological (Pgp3) assay. Methods In our case-control study of women 19 to 42 years old with hysterosalpingogram-diagnosed TFI (cases) and non-TFI (controls) in 2 US infertility clinics, we assessed possible associations and effect modifiers between Pgp3 seropositivity and TFI using adjusted odds ratios with 95% confidence intervals (CIs) stratified by race. We then estimated the adjusted chlamydia population-attributable fraction with 95% CI of TFI. Results All Black (n = 107) and 618 of 620 non-Black women had Pgp3 results. Pgp3 seropositivity was 25.9% (95% CI, 19.3%–33.8%) for non-Black cases, 15.2% (95% CI, 12.3%–18.7%) for non-Black controls, 66.0% (95% CI, 51.7%–77.8%) for Black cases, and 71.7% (95% CI, 59.2%–81.5%) for Black controls. Among 476 non-Black women without endometriosis (n = 476), Pgp3 was associated with TFI (adjusted odds ratio, 2.6 [95% CI, 1.5–4.4]), adjusting for clinic, age, and income; chlamydia TFI-adjusted population-attributable fraction was 19.8% (95% CI, 7.7%–32.2%) in these women. Pgp3 positivity was not associated with TFI among non-Black women with endometriosis or among Black women (regardless of endometriosis). Conclusions Among non-Black infertile women without endometriosis in these clinics, 20% of TFI was attributed to chlamydia. Better biomarkers are needed to estimate chlamydia TFI PAF, especially in Black women.
The End of the Ninth Legion, War in Britain and the Building of Hadrian's Wall

ABSTRACT It is often stated that the Ninth Legion was transferred from Britain and continued to exist until the 130s or beyond. The evidence is reviewed, and it is concluded that: (1) no more than a detachment of the legion went abroad, and that only for the period c. 105 to c. 120; (2) there is no prosopographical or other evidence which proves that the legion existed after the early 120s. Given that war, heavy Roman losses and an interruption in the building of Hadrian's Wall are directly attested in Britain, probably occurring in 122 or shortly after, it is argued that it is most likely that the legion was defeated and disbanded in connection with those events.
Deep complex neural network applications in remote sensing: an introductory review

At present, the majority of deep learning building blocks, techniques, and architectures are based on real-valued operations and representations. However, over the past decades, neural networks in the complex domain have become a quite active field of research and have continued to open doors to various new applications, remote sensing being one of them. Complex-valued neural networks (CVNNs) deal with complex inputs, e.g. signals having phase and amplitude, which is one of the core concepts in signal processing. Despite their appealing properties and potential for opening up entirely new neural architectures, deep complex-valued neural networks have been marginalized due to limited availability of building blocks required for such model designing. This survey compactly summarizes the research efforts that demonstrates relevant applications of deep complex-valued neural networks in the realm of remote sensing. We examine the various remote sensing problems under study, the models employed and the sources of data used. An attempt is made to study the overall performance achieved by such complex-valued models, according to the evaluation metrics used by the authors and compare the competencies with their real-valued counterparts. Also, we illustrate the shortcomings, enhancements, and implementations associated and obtain a bird's-eye view of their present and future prospective. The overall findings indicate that CVNNs represent a promising technique with competitive performance in terms of classification accuracy and precision for a wide variety of remote sensing problems, outperforming conventional techniques. However, the success of each CVNN model is highly dependent on the nature of the data set used.
Effects of UTAUT 2 Model on the Use of BCA Mobile Banking in Indonesia

Purpose – The m-banking service is a long-distance transaction platform that is innovative and strategic product provided by financial institution. It has succeeded in removing physical limitation of banking activities through the use of mobile device by customers. Support for the advance in internet technology bringing about considerable and continuous changes in banking operational have enabled customers to connect with business world and make transaction at any time, so that it also changes how customers use banking services. The World’s Best Bank has positioned BCA as a bank capable of adapting to pandemic situation because its banking services related to technology is considered as the best. Therefore, this research recognizes the need for testing factors affecting BCA customers to adopt and continue to use BCA m-banking service. Design/methodology/approach – the conceptual relationship of behavior intention on the acceptance and the use of information technology in this research used UTAUT2 model. Primary data were processed using SEM method with SMART-PLS software collected from survey questionnaires carried out to 400 respondents having BCA accounts and using BCA m-banking in the last 3 months. Findings – the main factors such as habit, hedonic motivation and facilitating condition were found to provide significant effect on behavior intention of customers to adopt and use BCA m-banking service. Practical implications – the findings are expected to educate public about m-banking service capable of facilitating banking transaction and recommending banking system to provide a safe m-banking service and it also requires sustainable development.