Miracle-dz/UniFAR-FTUs huggingface dataset:
Evapotranspiration from a primary subtropical evergreen forest in Southwest China

Evapotranspiration (ET) was observed over a 5‐year period at a primary subtropical evergreen forest in southwest China. The study used the eddy covariance method and quantified the precipitation, throughfall, stemflow, soil evaporation, and routine meteorological parameters to analyze the contributions of stand‐level transpiration and canopy interception loss to the total ET. The annual ET ranged between 785 and 901 mm. The average ratios ET–potential evapotranspiration were 0.45 and 0.87 during the dry and wet seasons, respectively. The relative contributions of soil evaporation, stand‐level transpiration, and canopy interception loss to ET were quantified in order to understand their roles in today's climate and in a potential future climate. Solar radiation was a driver for ET, although the occurrence of drought limited the tree transpiration and thus ET. Specifically, deep soil moisture was an important driver of ET during the dry season. During the wet season, the vapor pressure deficit became one of the main drivers. Although the current study did not collect specific data for the effect of fog on ET, fog likely plays an important role in the ecohydrologic system and deserves further investigation. Although the hydrological system is currently stable, it is anticipated that the groundwater recharge from the ecosystem may be largely reduced in the future, likely through climate change and an associated positive temperature–ET feedback loop.
Reexamination of the magnitudes for the 1906 and 1922 Chilean earthquakes using Japanese tsunami amplitudes: Implications for source depth constraints

Far‐field tsunami records from the Japanese tide gauge network allow the reexamination of the moment magnitudes (Mw) for the 1906 and 1922 Chilean earthquakes, which to date rely on limited information mainly from seismological observations alone. Tide gauges along the Japanese coast provide extensive records of tsunamis triggered by six great (Mw >8) Chilean earthquakes with instrumentally determined moment magnitudes. These tsunami records are used to explore the dependence of tsunami amplitudes in Japan on the parent earthquake magnitude of Chilean origin. Using the resulting regression parameters together with tide gauge amplitudes measured in Japan we estimate apparent moment magnitudes of Mw 8.0–8.2 and Mw 8.5–8.6 for the 1906 central and 1922 north‐central Chile earthquakes. The large discrepancy of the 1906 magnitude estimated from the tsunami observed in Japan as compared with those previously determined from seismic waves (Ms 8.4) suggests a deeper than average source with reduced tsunami excitation. A deep dislocation along the Chilean megathrust would favor uplift of the coast rather than beneath the sea, giving rise to a smaller tsunami and producing effects consistent with those observed in 1906. The 1922 magnitude inferred from far‐field tsunami amplitudes appear to better explain the large extent of damage and the destructive tsunami that were locally observed following the earthquake than the lower seismic magnitudes (Ms 8.3) that were likely affected by the well‐known saturation effects. Thus, a repeat of the large 1922 earthquake poses seismic and tsunami hazards in a region identified as a mature seismic gap.
REALIZED VOLATILITY PREDICTION OF THE US COMMODITY FUTURES DURING THE GLOBAL FINANCIAL CRISIS (GFC) AND COVID-19 PANDEMIC

: This research aims to inspect the predictability of the realized volatility (RV) of the US Commodity futures market during the economic crisis period for the last 20 years. The economic crisis period includes the Global Financial Crisis (GFC) and the financial crisis during COVID-19. This study extends its aim to show the forecasting comparison during the financial crisis period and the normal economic period. A standard predictive regression model from the weekly RV data is used to test the certainty of next week’s RV of the commodity futures. This study uses data from Q1 of 2000 to Q3 of 2020. It finds that platinum, palladium, gold, and crude oil have significant predictability for the RV forecast during the global financial crisis, whereas sugar, silver, and platinum have high and significant predictability to forecast the RV during the pandemic. In addition, a comparison of RV predictability between normal economic periods and economic crisis periods shows a significant difference in predictability between different economic periods.
The Sensitivity to Pain Traumatization Scale–Child Version (SPTS-C): Development and preliminary validation

ABSTRACT Background Sensitivity to pain traumatization is defined as the propensity to develop cognitive, affective, and behavioral responses to pain that resemble a traumatic stress reaction. To date, sensitivity to pain traumatization has been assessed in adults (Sensitivity to Pain Traumatization Scale [SPTS-12]) and parents of youth with chronic pain (Sensitivity to Pain Traumatization Scale–Parent version [SPTS-P]). SPT may be relevant in the context of pediatric chronic pain given the substantial comorbidity between posttraumatic stress symptoms and pain. Aims This prospective study aimed to adapt the SPTS-12 for use in youth and to evaluate the psychometric properties of the new scale. Methods Participants included 175 youth with chronic pain (Mage = 14.31 years, 73% girls) referred to outpatient chronic pain programs. At baseline, youth self-reported the levels of their sensitivity to pain traumatization (Sensitivity to Pain Traumatization Scale–Child version [SPTS-C]), as well as their pain symptoms, pain-related anxiety, posttraumatic stress symptoms, and attentional control. Three months later, youth self-reported their pain symptoms and completed the SPTS-C. Results The SPTS-C had a one-factor structure that explained 48% of variance and demonstrated good reliability and construct validity. SPTS-C baseline scores predicted follow-up levels of pain interference but not pain intensity or pain unpleasantness. Conclusions The results provide preliminary evidence for the psychometric properties of the SPTS-C and the potential role of SPT in pediatric chronic pain outcomes.
FaaSBatch: Boosting Serverless Efficiency With In-Container Parallelism and Resource Multiplexing

With high scalability and flexibility, serverless computing is becoming the most promising computing model. Existing serverless computing platforms initiate a container for each function invocation, which leads to a huge waste of computing resources. Our examinations reveal that (i) executing invocations concurrently within a single container can provide comparable performance to that provided by multiple containers (i.e., traditional approaches); (ii) redundant resources generated within a container result in memory resource waste, which prolongs the execution time of function invocations. Motivated by these insightful observations, we propose FaaSBatch - a serverless framework that reduces invocation latency and saves scarce computing resources. In particular, FaaSBatch first classifies concurrent function requests into different function groups according to the invocation information. Next, FaaSBatch batches the invocations of each group, aiming to minimize resource utilization. Then, FaaSBatch utilizes an inline parallel policy to map each group of batched invocations into a single container. Finally, FaaSBatch expands and executes invocations of containers in parallel. To further reduce invocation latency and resource utilization, within each container, FaaSBatch reuses redundant resources created during function execution. We conduct extensive experiments based on Azure traces to evaluate the effectiveness and performance of FaaSBatch. We compare FaaSBatch with three state-of-the-art schedulers Vanilla, SFS, and Kraken. Our experimental results show that FaaSBatch effectively and remarkably slashes invocation latency and resource overhead. For instance, when executing I/O functions, FaaSBatch cuts back the invocation latency of Vanilla, SFS, and Kraken by up to 72.58%, 74.10%, and 72.62%, respectively; FaaSBatch also slashes the resource overhead of Vanilla, SFS, and Kraken by 70.2% to 98.40%, 67.74% to 98.12%, and 43.01% to 78.90%, respectively.
Diagnosis and Assessment of Severity of Neonatal HyperbilirubinÃ¦mia in Babylon Governorate, Incorporating Serum Albumin Level As A Sensitive Predictor of Outcome

Neonatal jaundice is a common health problem in Iraqi neonates and oriental populations in general. Proper diagnosis and management is crucial to prevent brain damage by high concentrations of bilirubin (kernicterus). Neonatal jaundice is also regarded as the most common cause of hospitalization of neonates. It is widely agreed that the causes of neonatal jaundice is alteration of a panel of physiological factors including rapid postnatal destruction of excess red blood cells, derangement of liver clearance function and prematurity.This study was designed to reveal the importance of determining serum albumin level as a predictor of liver function in neonates with jaundice. Sixty-four patients were included in this study during a period of four months. A ratio between bilirubin and albumin levels (B/A ratio) was depicted. A B/A ratio of < 2 showed no risk of exchange transfusion as a treatment modality in all four patients aged 5-12 days, noting that there are no neonates aging 2-5 days with a B/A ratio of < 2, reflecting the accelerated course in this age group. A ratio > 4 carried a high risk of exchange transfusion (18 out of 23 in those aging 5-12 days). The grey zone of B/A ratio lying between 2-4 needed further follow up and more clinical determinants to be treated properly, only 5 out 21 were treated by exchange transfusion aging 5-12 days, while only 1 out of 8 aging 2-5 days was subjected to exchange transfusion. It is clear that the B/A ratio is a good indicator of the severity of neonatal jaundice, predicting the modality of treatment options.
Blueprint for a coupled model of sedimentology, hydrology, and hydrogeology in streambeds

The streambed constitutes the physical interface between the surface and the subsurface of a stream. Across all spatial scales, the physical properties of the streambed control surface water‐groundwater interactions. Continuous alteration of streambed properties such as topography or hydraulic conductivity occurs through erosion and sedimentation processes. Recent studies from the fields of ecology, hydrogeology, and sedimentology provide field evidence that sedimentological processes themselves can be heavily influenced by surface water‐groundwater interactions, giving rise to complex feedback mechanisms between sedimentology, hydrology, and hydrogeology. More explicitly, surface water‐groundwater exchanges play a significant role in the deposition of fine sediments, which in turn modify the hydraulic properties of the streambed. We explore these feedback mechanisms and critically review the extent of current interaction between the different disciplines. We identify opportunities to improve current modeling practices. For example, hydrogeological models treat the streambed as a static rather than a dynamic entity, while sedimentological models do not account for critical catchment processes such as surface water‐groundwater exchange. We propose a blueprint for a new modeling framework that bridges the conceptual gaps between sedimentology, hydrogeology, and hydrology. Specifically, this blueprint (1) fully integrates surface‐subsurface flows with erosion, transport, and deposition of sediments and (2) accounts for the dynamic changes in surface elevation and hydraulic conductivity of the streambed. Finally, we discuss the opportunities for new research within the coupled framework.
THE INFLUENCE OF FINANCIAL DISTRESS, GOING CONCERN OPINION, PROFITABILITY, MANAGEMENT CHANGES, AND COMPANY GROWTH ON AUDITOR SWITCHING

This study aims to determine whether there is an effect offinancial distress, going concern opinion, profitability, management changes, and company growth on auditor switching ofproperty and real estate sector companies listed on the Indonesia Stock Exchange from 2014 to 2020. Purposive sampling was usedto select the sample, 79 companies were selected and 24 met the criteria.The selected samplewas tested (24 companies or 168 observations)and analyzedusingLogistic Regression Analysis(LRA) techniques.The results indicatethat financial distress and profitability have no effecton voluntary auditor switching whilegoing concern opinion,company growth,and management changesinfluencedvoluntary auditor switching.Based on this research limitation, further research shoulduse another sector, addingnewvariables and usingbetter techniquesfor detecting auditor switchingto increase the power of the tests.
Relationship of Recurrence Rate with some Characteristics in Patients with Thyroid Carcinoma

Abstract Background: Determining the clinical and subclinical characteristics related to the recurrence status in patients with a thyroid carcinoma has great significance for prognosis, prediction of recurrence and monitoring of treatment outcomes. This study aimed to determine the association between recurrence rate and some characteristics in patients with thyroid carcinoma. Patients and Methods: The study was conducted by descriptive method with longitudinal follow-up on 102 thyroid carcinoma patients at 103 Military Hospital, Hanoi, Vietnam, from July 2013 to December 2016. Results: Univariate analysis showed that there was a relationship between the recurrence characteristics in the studied patients and the characteristics of lymph node metastasis (P = 0.026; OR = 15; 95% CI = 1.4–163.2) and BRAF V600E mutation status (P = 0.01; OR = 3.41; 95% CI = 1.31–8.88). When analysing the multivariable Logistic regression model, there was a positive correlation between the occurrence of BRAF V600E gene mutation (P = 0.032; OR = 17.649; 95% CI = 1.290–241.523) and male sex (P = 0.036; OR = 12.788; 95% CI = 1.185–137.961) and the occurrence of recurrence in study patients. The mean time to relapse was earlier in male patients than in female patients (P = 0.02). The mean time to relapse in patients with the BRAF V600E mutation (31.81 ± 1.14 months) was shorter than the mean time to relapse in the group without the mutation (57.82 ± 2.08 months) (P = 0.01). The group of patients with mutations in the BRAF V600E gene increased the risk of recurrence compared with the group without the mutation (HR = 9.14, P = 0.04). Conclusion: There is a positive correlation between recurrence and masculinity, lymph node metastasis and the occurrence of BRAF V600E mutations in thyroid carcinoma patients.
Urban green space visitation and mental health wellbeing during COVID-19 in Bangkok, Thailand

Urban green spaces offer numerous benefits, and their role in supporting mental health, particularly during global crises such as the COVID-19 pandemic, is of growing interest to researchers and policymakers. This study explored the relationship between urban green space visitation and mental health well-being during the COVID-19 pandemic in Bangkok, Thailand. This cross-sectional study, conducted in Bangkok during the COVID-19 lockdown, used a telephone survey of 579 respondents. A logistic regression model was employed to examine the association between urban green space visitation and the WHO-5 mental health well-being score, considering various factors such as socioeconomic variables, healthy behaviors, and COVID-19-related experiences. The findings revealed a significant association between urban green space visitation during the lockdown and higher mental health well-being. Socioeconomic variables and healthy behaviors of respondents were also notably linked to higher WHO-5 mental health well-being scores. These findings collectively indicate that urban greenspace visitation serves as a crucial determinant of mental health and well-being, especially during the COVID-19 pandemic.
Automated Extraction of Forest Road Network Geometry from Aerial LiDAR

We developed an algorithm that was designed to create a spatial database of a forested transportation network using aerial LiDAR. The algorithm uses two main attributes, LiDAR intensity values and ground return density. The road extraction process was developed using aerial LiDAR from McDonald-Dunn Research Forest near Corvallis, Oregon, U.S.A. The road extraction process requires X, Y, Z coordinates, intensity values, canopy type, and the maximum road grade. To compare the results of the process, nine road segments were field surveyed with terrestrial LiDAR. The result of the road extraction process resulted in 80% true positives, 34% false positives, 20% false negatives, and 38% true negatives in identifying forest roads. The average absolute value difference in the road width between the two data sets were 1.1m, while the cut/fill slope differences were minimal (> 4%) and the difference in road cross slope was two percent. These results were comparable with other published studies that examined differences between LiDAR measurements and field measurements
The Role of Digital Literacy and Financial Literacy on the Use of Islamic Fintech Moderated by Religiosity the Impact on Personal Financial Management

Financial management skills are a very important and necessary topic, because currently Indonesians, including Cirebon's digital natives (millennials and generation Z), still do not realise the importance of good financial management habits. Sharia financial technology is one of the digital financial innovations that is useful as a personal financial management tool for its users wherever and whenever they are. However, the development of Islamic fintech is still far behind compared to conventional fintech. This study aims to determine the effect between digital literacy and financial literacy on the use of Islamic fintech moderated by religiosity and its impact on personal financial management. This research was conducted with a quantitative method, using a moderated mediation analysis model. The results showed that digital literacy has a significant positive effect on the use of Islamic fintech, but financial literacy has no positive effect. Meanwhile, religiosity cannot moderate the relationship between digital literacy and the use of Islamic fintech and the relationship between financial literacy and the use of Islamic fintech. And the use of Islamic fintech has an influence on personal financial management.
Survey of antibodies to Peste des petits ruminants virus in small ruminants in the Mediterranean Region of Turkey

Peste des petits ruminants (PPR) is a viral disease affecting sheep and goats caused by peste des petits ruminants virus (PPRV) has a serious economic impact due to the restrictions on animal trade and animal movements and high mortality rates in small ruminant populations. The common clinical sings of the PPR are fever, muco-purulent nasal discharge, diarrhoea and abortion. Seroepidemiological studies of PPRV infection in sheep and goats in Turkey are scant. Therefore, this study was aimed to evaluate the seroprevalence of PPR in small ruminants in Turkey. Ovine blood samples were collected by random sampling method from sheep (n = 77) and goats (n = 61) from unvaccinated flocks (n = 40) in the Antalya Province in the Mediterranean region of Turkey. A competitive enzyme-linked immunosorbent assay (c-ELISA) kit was used to detect antibodies against PPRV in sera samples. Out of 138 sera samples analysed, eighteen sera samples (13%, 95% CI: 7.4 - 18.7) were PPRV seropositive, of which 18.2% (95% CI: 9.6 - 26.8; 14/77) were from sheep, whereas 6.6% (95% CI: 0.3 - 12.8; 4/61) were from goats. Although PPRV seropositivity rate was higher in sheep than goats, it was not statistically significant (P = 0.07). PPRV seropositivity was higher in small ruminants older than 24 months (19.4%) compared with less than or equal to 24 months (7%) (P = 0.04). Although, there was no statistically significant difference between sexes, PPRV seropositivity rate was higher (14.5%) in females than males (10.9%) (P = 0.61). The flock-level seroprevalence was 30% (12/40). The result of the present study showed that seroprevalence of PPRV infection is high in sheep and goats in the Antalya Province. However, results of the study are not enough to determine the regional and country-based profile of the PPRV infection in Turkey. Further epidemiological studies are required to get more epidemiology data on PPR in Turkey.
Similarity and Familiarity in Distributed Teams: A Perspective of Identification on Knowledge Sharing

Research on knowledge sharing in distributed teams has demonstrated the importance of knowledge contribution and knowledge seeking in facilitating work procedures and outcomes. However, considerably less attention has been paid to learned characteristics of relationships that affect the intentions to share knowledge. Despite a variety of technologies being used to support distributed interaction, theoretical and empirical research investigating the impact of technology on distributed communication is limited. Based on a review of social psychology and network literature, we describe an identity-based view to understand how member relationships and technology support in distributed teams are associated with knowledge sharing. In this preliminary study, we collected social network data from distributed teams of a global IT organization. This research provides a new perspective on the antecedents of knowledge sharing as well as the mechanisms through which identification may facilitate knowledge sharing in distributed teams. Keywords—Distributed teams, familiarity, group identification, knowledge sharing, social network, similarity, technology support. Page 1 of 12 18th European Conference on Information Systems
Does green organizational identity mediate green human resource management on employee green behavior?

This study aims to analyze and explain the mediating role of green organizational identity on the influence of green human resource management on employee green behavior. This research was conducted at PT Yoga Barn. The population in this study amounted to 95 people. The number of samples used was 95 employees, using the non-probability sampling census method. Data collection was obtained through questionnaires and interviews. The analysis technique used is descriptive statistical analysis and inferential statistical analysis. The data were analyzed with a Structural Equation Model (SEM) with a Partial Least Square (PLS) approach and using SmartPLS 4.0 software. The results showed that green human resource management has a positive and significant effect on employee green behavior and green organizational identity, green organizational identity has a positive and significant effect on employee green behavior. Green organizational identity partially mediates the effect of green human resource management on employee green behavior. Companies need to pay attention to the implementation of green human resource management and green organizational identity comprehensively so that employee green behavior in employees can be better implemented.
The libraries of Spain’s national museums: an undiscovered heritage

The libraries of the national museums in Spain were established during the 19th and 20th centuries. Their holdings are the result of a long tradition of collecting, and together constitute an invaluable bibliographic legacy. With the objective of bringing to light and publicising this rich heritage, these libraries have developed an art libraries network, BIMUS, whose first achievement has been to create an online union catalogue. The project will continue to develop in stages, and its eventual aim is to help the Spanish museum libraries become a reference point for research into art history and the cultural heritage.