Miracle-dz/UniFAR-FTUs huggingface dataset:
How does destination psychological ownership affect tourists’ pro-environmental behaviors? A moderated mediation analysis

Abstract Tourists’ pro-environment behavior (TPEB) plays a central role in fostering a destination’s sustainability. As an essential connection between tourist and destination, destination psychological ownership (DPO) has been found to exert a direct effect on TPEB. Still, a more profound underlying psychological mechanism behind this relationship remains unclear. This study proposed a moderated mediation model to investigate the ways in which DPO influences TPEB by addressing the mediating role of ascribed responsibility and the moderating role of perceived effectiveness. Data collected from 419 tourists at three national tourist resorts in China, through an on-site intercept survey, were analyzed using structural equation modeling (SEM) and the bootstrap approach. The results indicated that DPO positively impacts TPEB, and ascribed responsibility partially mediates such effect. Furthermore, perceived effectiveness moderates the direct impacts of DPO and ascribed responsibility on TPEB, as well as the indirect effects of DPO on TPEB through ascribed responsibility. The proposed model extends the existing literature by exploring the mediating mechanism of how DPO affects TPEB and the potential boundary condition. Meanwhile, the findings illuminate implications for tourism management to advocate TPEB effectively.
Reducing restrictive measures in complex long-term care for people with intellectual disabilities: Implementation interventions through the lens of normalisation process theory

ABSTRACT Background The multi-disciplinarity of long-term care for people with intellectual disabilities makes organisations seek stability and predictability, complicating implementing innovations. Interventions to implement a method for reducing restrictive measures were analysed through the lens of Normalisation Process Theory to understand the social mechanisms at play. Methods Process notes, collected during a trial in which a method to reduce restrictive measures was implemented, were analysed guided by implementation interventions defined by Cochrane Effective Practice and Organisation of Care Review Group. These interventions were mapped to social mechanisms of Normalisation Process Theory. Results Implementation interventions were widely used in which clients’ perspectives were expressed (client-related-interventions), and consensus processes were held with care professionals. These interventions initiated NPT’s social mechanisms’ Coherence, Cognitive Participation and Collective Action. Conclusions The emphasis on consensus and clients’ perspectives when methodically reducing restrictive measures reflects some unique implementation challenges in long-term intellectual disability care.
Long-Term Consequences of Puumala Hantavirus Infection

Several viral infections are associated with acute and long-term complications. During the past two years, there have been many reports on post-infectious symptoms of the patients suffering from COVID-19 disease. Serious complications occasionally occur during the acute phase of Puumala orthohantavirus caused nephropathia epidemica. Severe long-term consequences are rare. Fatigue for several weeks is quite common. Hormonal insufficiencies should be excluded if the patient does not recover normally.
Evaluation and modification of bend corner strength prediction models of FRP reinforcement

The bend corner of Fiber‐reinforced polymer (FRP) reinforcement has been shown significantly lower tensile strength than the straight portion. To date, various prediction models were developed for the bend corner strength. In this study, three types of six prediction models are reviewed and evaluated based on a most extensive database to date, including tests from 15 investigations from 1999 to 2020. The validities of the models for cross‐section types and test methods are analyzed. The logarithmic and linear regression models are further modified. The macro‐mechanical model provides the best predictions for the whole database with similar validity for test specimens with different cross‐section types. The linear regression and logarithmic models show lower accuracy and inconsistency in cross‐section types. The different test methods adopted in the literature show limited influence on the bend corner strength and the performance of the prediction models. The proposed cross‐section geometry factor can effectively consider the cross‐section types and the modified linear regression and logarithmic models could provide more accurate predictions. The model evaluations and modifications in this study could provide a more comprehensive understanding of the calculation philosophy of the bend corner strength of FRP reinforcement, which could be used for the future updates of shear design provisions for FRP reinforced concrete structures.
A psychometric reevaluation of the TCU criminal thinking scales (CTS)

Abstract In the United States, approximately 9 million people cycle in and out of jail and more than 600,000 people are released from prison each year. Unfortunately, the reentry process includes several barriers people must overcome (e.g., criminal thinking) to achieve adequate psychosocial functioning. As such, valid and reliable assessments that allow correctional staff to monitor clients’ progress in treatment and test program effectiveness are paramount to reducing this major public safety concern. The TCU Criminal Thinking Scales (CTS) are a widely used assessment of criminal thinking in correctional settings. This study reevaluated the psychometric properties of the TCU CTS using Item Response Theory. Results showed the TCU CTS had good internal reliability and each scale loaded onto one factor. Item level analysis revealed most items adequately fit the model, generally measuring moderate levels of criminal thinking. Furthermore, several TCU CTS scales were negatively correlated with motivation for treatment and psychosocial functioning.
A qualitative report of the perceptions of the COVID-19 pandemic from collegiate student-athletes

Context The COVID-19 pandemic led to an abrupt disruption in access to services and personnel for collegiate student-athletes in the spring and summer of 2020. We sought to identify the effects of this unprecedented change by examining the psychological well-being, changes to normal routines, and return-to-play considerations of current student-athletes in order to guide support for both current and future student-athletes who may face similar situations. Methods We utilized a phenomenological approach to interview a purposeful sample of eighteen collegiate student-athletes (7 males, 11 females; mean age = 20 years) from across the United States. The participants were interviewed using a semi-structured interview protocol, which was audio recorded and transcribed verbatim using Zoom. The data were then analyzed and coded by a 3-person team via the consensual qualitative research tradition. Results Four domains emerged after data analysis: 1) ambiguity, 2) perspective, 3) bonding and cohesion, and 4) resource utilization. Participants discussed ambiguity in terms of eligibility and participation questions, academic changes, and varying COVID-19 policies. Participants shared a wide range of perspectives, from apprehension at the onset of the pandemic, to excitement when returning to campus and competition. They shared how bonding and team development were affected due to a lack of socialization and that support system dynamics between family, coaches, and teammates were strengthened. When describing resource utilization, participants discussed the use of personnel and supplies to help them adjust to changes in facility and space availability. The identification and utilization of resources enabled them to establish a “new normal” for their academics, workouts, and hobbies during the pandemic. Conclusions Collegiate student-athletes realized the seriousness of the pandemic and utilized their resources and support systems to adjust their routines and keep a positive attitude during COVID-19. At the same time, some student-athletes struggled with these changes. Personnel should be aware of these effects to provide care and prevent future negative effects.
Infrared Radiation in the Management of Musculoskeletal Conditions and Chronic Pain: A Systematic Review

Infrared radiation (IR) is a promising complementary treatment for musculoskeletal conditions and chronic pain. By means of a systematic review, we evaluated the contribution of IR to the management of these ailments. PubMed-MEDLINE, Scopus, and Cochrane Library–Cochrane Central Register of Controlled Trials were systematically searched until 20 December 2021. The literature search yielded 233 relevant records. Following the screening of titles and abstracts, 42 full-texts were evaluated. As per inclusion/exclusion criteria, 13 publications were entered into the qualitative assessment. These studies described the effects of IR in humans: three studies focused on osteoarthritis, four studies on fibromyalgia, and six encompassed a wider range of diseases (ankylosing spondylitis, recovery from sports injuries, myofascial pain syndrome). Based on the findings of our systematic review, we noted a decrease in pain levels, as evaluated by the visual analog scale (VAS), in patients suffering from musculoskeletal disorders treated with IR. In addition, IR use led to a decrease in Fibromyalgia Impact Questionnaire (FiQ) scores in subjects diagnosed with fibromyalgia. Nevertheless, IR has failed to facilitate muscle recovery following athletic injuries.
Bottom Drag Coefficient on a Shallow Barrier Reef

The present paper reports of a field experiment over a shallow, roughness‐varying barrier reef at Maupiti island, French Polynesia. The depth‐averaged momentum balance is used to estimate the bottom drag coefficient Cd, which varies from 0.01 to 0.3, with dependence on both depth and reef structure. The depth effect on Cd is well predicted by a log dependency, as used in previous laboratory and fields observations. The present results extend the approach to a system with more wave exposure and higher roughness‐to‐depth ratio. Additionally, the statistical relationship between high‐resolution reef topography and hydrodynamical parameters is discussed.
Influence of Ozone Forcing on 21st Century Southern Hemisphere Surface Westerlies in CMIP6 Models

The tropospheric westerly jet is a key feature of Southern Hemisphere climate. In recent decades the jet strengthened in austral summer (December–February [DJF]) and moved poleward owing to the Antarctic ozone hole. Future jet trends will be influenced by recovery of the Antarctic ozone hole and greenhouse gas (GHG) forcing. Here, we examine 21st century projections of ozone, temperature and winds in the sixth Coupled Model Intercomparison Project models with (CHEM) and without (NOCHEM) interactive chemistry. NOCHEM models use an ozone data set that was produced with GHG forcings inconsistent with those used by CHEM models, leading to less ozone recovery in the Antarctic springtime lower stratosphere. This propagates to different stratospheric temperature projections and DJF westerly winds: NOCHEM models project a 78 ± 52% stronger increase in DJF westerly wind speeds than CHEM models under the high GHG emissions scenario SSP585. Our results show the importance of simulating stratospheric ozone accurately for Southern Hemisphere climate change projections.
Impact of Sovereign Credit Rating Disclosure on Chinese Financial Market

The sustainable economic role of the financial markets is essential for a trade-dependent economy such as China. Notably, the Chinese financial market has shown some unpleasant trends over the past two decades, coupled with the mounting national debt. Most of the earlier literature on the impact of the sovereign credit rating (SCR) on the financial market development (FMD) of China is confined to the event study approach, which provides policy input for short-term decision making. In this scenario, it is worthwhile investigating how the SCR asymmetrically affected the FMD of China and the threshold point (level) where the relationship of SCR-FMD turns non-linear. The Non-Linear Autoregressive Distributed Lag model’s empirical findings show that the reaction of FMD to SCR disclosure is asymmetric. In addition, the result of the threshold estimator finds a single threshold level of 3.628 above which the relationship of SCR-FMD turns non-linear. It is important to note that up to a threshold of 3.628 the coefficient is −. 516 and −. 627 which turns positive afterwards, no matter whether the variation explained is relatively less with the coefficient of . 058 and . 056 respectively. This implies that policymakers and regulators need to consider this benchmark of 3.628 to formulate future policy matters related to the equity market.
Optimal robust stimulated Raman exact passage by inverse optimization

We apply the inverse geometric optimization technique to generate an optimal and robust stimulated Raman exact passage (STIREP) considering the loss of the upper state as a characterization parameter. Control fields temporal shapes that are optimal with respect to pulse area, energy, and duration, are found to form a simple sequence with a combination of intuitively (near the beginning and the end) and counter-intuitively ordered pulse pairs. The resulting dynamics produces a loss which is about a third of that of the non-robust optimal STIREP. Alternative optimal solutions featuring lower losses, larger pulse areas, and fully counter-intuitive pulse sequences are derived.
The Ease of Investing in Indonesia's Capital Market Based on Improved Financial Literacy, Investment Community and Capital Market School

Indonesia is predicted to have the 4th largest GDP in the world by 2050. One of the major contributors to GDP is investment. Based on KSEI data (2020) the number of investors in Indonesia is still 3.27 million investors or 1.73% of the total productive age population. This proves that Indonesia still needs encouragement to become the country with the 4th largest GDP in the world. One form of this encouragement is to increase people's financial literacy. Data from OJK (2019) states that the financial literacy index of the Indonesian people rose from 29.7% in 2016 to 38.03% in 2019. The investment community is one of the drivers and the ISP community is one of the capital market education activists. The importance of improving financial literacy, the investment community and capital market schools for the ease of investing is an important point to help make Indonesia a country with the 4th largest GDP in the world. The purpose of this study was to determine whether there is an influence between financial literacy, investment community and capital market schools on the ease of investing. The method that used is quantitative with a survey approach. The results show that there is an influence between financial literacy, the investment community and the capital market on the ease of investing, which means that if there is an increase in financial literacy, the investment community and capital market schools, there will also be an increase in the ease of investing.
Association of Dietary Intakes and Genetically Determined Serum Concentrations of Mono and Poly Unsaturated Fatty Acids on Chronic Kidney Disease: Insights from Dietary Analysis and Mendelian Randomization

Polyunsaturated fatty acid (PUFA) intake is generally associated with better renal function, while the association of monounsaturated fatty acids (MUFAs) remains unconfirmed. Mendelian randomization (MR) analysis was used to obtain unconfounded estimates of the causal association of dietary intake and genetically determined serum PUFA and MUFA levels with measures of renal function. Data from participants of the National Health and Nutrition Examination Surveys (NHANES) from 2005 to 2010 were used. Data from the largest genome-wide association studies (GWAS) on MUFAs, PUFAs, eGFR, and chronic kidney disease (CKD) were analysed for the entire sample. A total of 16,025 participants were included. eGFR improved across increasing quartiles of total PUFA intake from 86.3 ± 0.5 (Q1) to 96.2 ± 0.5 mL/min/1.73 m² (Q4), (p < 0.001). Conversely, there was no association between MUFA intake and measures of renal function (all p > 0.21). In multivariable models, the top quartile of PUFA intake had a 21% lower risk for CKD, but there was no significant association between CKD risk and MUFA intake. Genetically determined serum MUFA (heptadecenoate (17:1), myristoleic acid (14:1), and palmitoleic acid (16:1)) and PUFA (α-linolenic acid and eicosapentaenoic acid) concentrations had no significant association with eGFR and CKD risk. Additionally, no association was found in the analyses stratified by diabetes status. Higher dietary PUFA intake is associated with lower risk of CKD, while there was no association with serum levels of MUFAs or PUFAs. Additional studies including clinical trials are warranted.
Summary of Research on the Short-term Load Forecasting Method of the Electric Power System

Through the study of the status quo at home and abroad,this paper outlines the characteristics of short-term load forecasting and factors affecting the prediction precision,systematically expounds the intelligent methods of short-term load forecasting in the electric power system,and analyzes and compares the advantages and disadvantages of various methods. The result of the study has shown that combination optimization is the development trend for short-term load forecasting in the electric power system.
Penerapan Digital Game Based Learning Pada Media Pembelajaran “LABIRIN”

Seiring perkembangan telnologi sebuah permainan atau game dapat dijadikan sebuiah media pembelajaran, game edukasi merupakan salah satu media pembelajaran yang dapat digunakan oleh sekolah untuk menarik minat belajar para siswa. Selain dapat membantu guru ataupun sekolah dalam menarik minat belajar siswa, game edukasi juga dapat dimanfaatkan orangtua dalam memilih permainan yang baik untuk anak dirumah. Media pembelajaran berupa game edukasi yang mengguanakan gadget telah mengikuti perkembangan teknologi edukasi. Untuk menarik minat siswa dalam belajar baik disekolah maupun dirumah maka dari itu penulis akan membuat sebuah game edukasi yang akan dijadikan sebagai media pembelajaran mengguanakan metode digital game based learning. Metode ini menerapkan beberapa langkah yang akan disesuaikan dengan materi belajar siswa, sehingga game ini akan sangat baik dijadikan sebagai media pembelajaran.
Study on the differences of phyllosphere microorganisms between poplar hybrid offspring and their parents

The females and males of dioecious plants have evolved sex-specific characteristics in terms of their morphological and physiological properties. However, the differentiation of phyllosphere microorganism of dioecious plants between parents and hybrid offspring remain largely unexplored. Here, the phyllosphere bacterial and fungal community diversity and composition of female (Populus nigra ‘DH5’ (PNDH5)), male (P. simonii ‘DH4’ (PSDH4)), and the hybrid offspring (P. simonii × P. nigra ‘DH1’ (PSPNDH1), P. simonii × P. nigra ‘DH2’ (PSPNDH2), P. simonii × P. nigra ‘DH3’ (PSPNDH3)) were investigated using 16S rDNA/ITS rDNA gene-based Illumina NovaSeq 6000 sequencing. There was considerable variation of plant height, diameter at breast height, leaf area, length of petioles, leaf moisture content, and starch among different samples, and PSDH2 owned the highest plant height, diameter at breast height, and length of petioles. No distinct differences of phyllosphere bacterial community diversity were observed among PSDH4, PNDH5, PSPNDH1, PSPNDH2, and PSPNDH3; while, PSPNDH2 owned the highest fungal Pielou_e index, Shannon index, and Simpson index. Firmicutes and Ascomycota were the predominant phyllosphere bacterial and fungal community at the phylum level, respectively. Bacilli and Gammaproteobacteria were the two most dominant bacterial classes regardless of parent and the hybrid offspring. The predominant phyllosphere fungal community was Dothideomycetes at the class level. The NMDS demonstrated that phyllosphere microbial community obviously differed between parents and offspring, while the phyllosphere microbial community presented some similarities under different hybrid progeny. Also, leaf characteristics contributed to the differentiation of phyllosphere bacterial and fungal communities between parents and hybrid offspring. These results highlighted the discrimination of phyllosphere microorganisms on parent and hybrid offspring, which provided clues to potential host-related species in the phyllosphere environment.
A Hybrid Training-Time and Run-Time Defense Against Adversarial Attacks in Modulation Classification

Motivated by the superior performance of deep learning in many applications including computer vision and natural language processing, several recent studies have focused on applying deep neural network for devising future generations of wireless networks. However, several recent works have pointed out that imperceptible and carefully designed adversarial examples (attacks) can significantly deteriorate the classification accuracy. In this letter, we investigate a defense mechanism based on both training-time and run-time defense techniques for protecting machine learning-based radio signal (modulation) classification against adversarial attacks. The training-time defense consists of adversarial training and label smoothing, while the run-time defense employs a support vector machine-based neural rejection (NR). Considering a white-box scenario and real datasets, we demonstrate that our proposed techniques outperform existing state-of-the-art technologies.
Numerical Simulation on the Melting Kinetics of Steel Scrap in Iron-Carbon Bath

Steel scrap melting kinetics is a key factor that affects the scrap ratio and temperature trajectory of Basic Oxygen Furnace steelmaking process and the productivity and energy utilization of Electric Arc Furnace steelmaking process. In this paper, the interface between steel scrap and melt is analyzed and a novel theoretical model of steel scrap melting in iron-carbon bath is established. Moreover, the effects of bath temperature, bath carbon content, preheating temperature and characteristic length of steel scrap on the melting rate of steel scrap, mass transfer coefficient of carbon, heat transfer coefficient and interface carbon concentration were investigated. The results show that the ultimate steady melting rate increases from (cid:0) 2.04 × 10 (cid:0) 4 to (cid:0) 3.32 × 10 (cid:0) 3 m/s with the increases of bath temperature from 1793 K to 1873 K, the ultimate steady heat and mass transfer coefficient first increase and subsequently decrease, are in the range of 1.04 × 10 5 to 2.86 × 10 5 W/m 2 /K and 0 to 2.89 × 10 (cid:0) 4 m/s, respectively. As the bath carbon content increase from 1.0 wt% to 4.0 wt%, the ultimate steady melting rate increases from (cid:0) 8.85 × 10 (cid:0) 5 to (cid:0) 3.23 × 10 (cid:0) 4 m/s, the ultimate steady heat transfer coefficient first increases and subsequently decreases, is in the range of 7.59 × 10 4 to 1.01 × 10 5 W/m 2 /K. Furthermore, the ultimate steady mass transfer coefficient and the ultimate steady interface carbon content gradually decreases from 1.40 × 10 (cid:0) 4 to 5.21 × 10 (cid:0) 5 m/s and from 0.73 to 0.69 wt%, respectively. With the increase of preheating temperature and characteristic length of steel scrap, the ultimate steady melting rate, heat transfer coefficient between steel scrap and melt, mass transfer coefficient and interface carbon concentration remain almost constant, about (cid:0) 8.85 × 10 (cid:0) 5 m/s, 8.40 × 10 4 W/m 2 /K, 1.40 × 10 (cid:0) 4 m/s and 0.70 wt%, respectively.