Miracle-dz/UniFAR-FTUs huggingface dataset:
HOW CLOSELY DO DIFFERENT OLSEN P MEASURES CORRELATE ?

Olsen P is a commonly used method for the estimation of available P in New Zealand soils for fertiliser recommendations and as an indicator in regional soil quality assessment. It is also under consideration as a measure of soil quality for national reporting by government agencies, and as part of the Environmental Monitoring and Reporting (EMAR) process, where method consistency is very important. However, Olsen P may be reported on a gravimetric or volumetric basis and there are differences in the analytical methods that appear to confound ready comparison of results reported from different laboratories. We aim to overcome this confounding issue and the potential of methodological differences by determining the best method for comparing the different Olsen P datasets. Results from regression analysis of Olsen P from a set of samples analysed by different laboratories and converted between volumetric and gravimetric results using different approaches (field bulk density, volume weight) are presented. Introduction Regional and national reporting Regional authorities in New Zealand regularly monitor soil quality (soil health) in State of the Environment (SoE) monitoring. This reporting has a focus on environmental protection and sustaining the environment for future generations. The Land Monitoring Forum (LMFa group of unitary and regional council soil and land scientists) has developed a set of standard methods (Hill and Sparling 2009). The LMF initiated a national review of the soil quality monitoring programmes with a view to improving the programme for regional and national reporting (Cavanagh et al. 2017). Regional councils are also contributing to the development of the land-based component of the Environmental Monitoring and Reporting (EMaR) project with the Ministry for Environment and other agencies. The EMaR project relates to the national Environmental Reporting Bill. One indicator of soil nutrient status used in the monitoring is Olsen P. It is also a commonly used soil fertility indicator of plant-available soil phosphorus used by agricultural and horticultural industries to help assess on-farm nutrient management. It is also used by researchers to study interactions of soil and water quality. Olsen P is commonly measured on a gravimetric (weight) basis and therefore avoids the confounding influence of soil field bulk density (McDowell and Condron 2004). The gravimetric method is used internationally and
Model Increasing Productivity and Sustainability of Lowland Rice Farming in Tanjung Jabung Barat District -Indonesia (With a SEM Partial Least Square Approach)

This study aims to analyze the structural model of the increase productivity and sustainability of rice farming in West Tanjung Jabung District. The data used are primary data obtained directly from farmers. The sample size used was 90 farmers. Sampling using simple random sampling method. The data analysis used the SEM Partial Least Square structural model. The results of the analysis show that the description of internal factors, external factors of farmers and the adoption of farming technology are in the medium category. The productivity and farming sustainability factors are in a low category. The determinant factor that greatly influences the productivity and sustainability of rice farming is farm income. Farm productivity and sustainability are significantly influenced by farmers 'access to credit, farmers' access to technology, and access to input procurement. The main determinant of productivity is the use of production inputs. The sustainability of farming is mainly determined by economic aspects, especially income. Models for increasing productivity and agricultural sustainability must pay attention to efforts to improve farmers' access to credit, access to technology and access to input procurement. Efforts are needed to handle the input output price for rice so that it can increase farmers' income.
A MOVING MESH METHOD FOR THE NONLINEAR SHRÖDINGER EQUATION

Abstract: In this paper we apply a moving mesh method to a numerically challenging problem namely, the nonlinear Schrödinger (NLS) equation. This problem arises from applications where it has been used to describe the motion of a vortex filament in incompressible fluids and also to model fractal fibre architecture of aortic heart valve lea ets in the study of the human heart. Our aims are to show the existence and the properties of the numerical solution of a nonlinear shrödinger’s equation. This method is used to investigate with highly resolved numerics the solution’s behavior for small dispersion parameters. Numerical simulations has shown that this scheme is very efficient to solve this problem.
Exchange Rate Regimes in an Increasingly Integrated World Economy

This paper examines the consequences of heightened capital mobility and of the integration of developing economies in increasingly globalized markets for the exchange rate regimes of the industrial, developing, and transition economies. It builds upon previous studies by IMF staff on various aspects of the exchange rate arrangements of member countries, consistent with the IMF's role of surveillance over its members exchange rate policies.
EVALUATION OF ANTIDEPRESSANT-LIKE EFFECTS OF AQUEOUS EXTRACT OF SEA BUCKTHORN ( HIPPOPHAE RHAMNOIDES L . SSP . TURKESTANICA ) FRUITS IN EXPERIMENTAL MODELS OF DEPRESSION

Herbs have been used as food and for medicinal purposes for centuries. Research interest has focused on various herbs that possess antidepressant properties and may be useful adjuncts in helping the management of depression in humans. The present study was therefore designed to investigate the antidepressant-like effects of aqueous fruit extract of Sea buckthorn (Hippophae rhamnoides L. ssp. turkestanica) in animal models of depression. In first phase of study test rats were treated with long term oral administration of Sea buckthorn (40 mg/kg P.O.) and controls received an equal volume of fresh water for two weeks. In the second and last phase of study, two groups of animals were exposed to repeated restraint stress (one group from water treated and other group from SBT-FE treated) for next one week All groups of animals were separately submitted to forced swim test (FST), open field test (OFT) and elevated plus maze (EPM) tests for the bio-screening of fruit extract with antidepressant profile. Results revealed that the immobility time in the FST was significantly (p<0.05) reduced and prolong struggling (numbers of jumps) was observed particularly in rats orally administered with SBT-FE (40 mg/kg P.O.) following one week stress when compared with their respective controls. Open field ambulation was also significantly (p<0.05) increased in a similar manner. Number of entries in open arms (OA) and % time spent in OA were also significantly increased (p<0.01) and were more pronounced in SBT-FE treated rats following exposures to repeated restraint stress when compared with their controls. Thus, it is suggested that aqueous fruit extract of Sea buckthorn exhibited significant antidepressant-like effects in animal models of depression and may be served as a potential resource for natural psychotherapeutic agent, against depression.
Resilient adjudication in non-intrusive inspection with hierarchical object and anomaly detection

Large scale non-intrusive inspection (NII) of commercial vehicles is being adopted in the U.S. at a pace and scale that will result in a commensurate growth in adjudication burdens at land ports of entry. The use of computer vision and machine learning models to augment human operator capabilities is critical in this sector to ensure the flow of commerce and to maintain efficient and reliable security operations. The development of models for this scale and speed requires novel approaches to object detection and novel adjudication pipelines. Here we propose a notional combination of existing object detection tools using a novel ensembling framework to demonstrate the potential for hierarchical and recursive operations. Further, we explore the combination of object detection with image similarity as an adjacent capability to provide post-hoc oversight to the detection framework. The experiments described herein, while notional and intended for illustrative purposes, demonstrate that the judicious combination of diverse algorithms can result in a resilient workflow for the NII environment.
Combination Effect of Voluntary Exercise and Garlic (Allium sativum) on Oxidative Stress Biomarkers and Lipid Profile in Healthy Rats

Background: We evaluated the combination effect of voluntary exercise and garlic on serum oxidative stress biomarkers and lipid profile in healthy rats. Methods: The rats were randomly assigned to four groups (n=7): Control, Garlic, Exercise, and Garlic + Exercise. Rats were fed with raw fresh garlic homogenate by oral gavage (250 mg/kg) or were subjected to voluntary exercise using stainless steel running wheels alone or together for 6 weeks. The samples were collected at the end of the experiment. Results: After 6 weeks, total cholesterol, low-density lipoprotein (LDL), triglycerides (TG) and high-density lipoprotein (HDL) levels improved in both garlic and exercise group, compared with the control group. We also found that serum glutathione peroxidase (Gpx), Superoxide dismutase (SOD), Catalase (CAT), and Total antioxidant (TAC) levels enhanced significantly following the above-mentioned interventions. Furthermore, simultaneous treatment of rats with garlic and voluntary exercise had an additive effect on these parameters. However, malondialdehyde (MDA) level was not significantly different from control group during our protocol. Conclusion: The findings revealed that simultaneous treatment of rats with garlic and voluntary exercise improved antioxidant defense system and lipid profile in an additive manner in healthy rats.
Contact Analysis of Elemental Transition Metal Electrodes for Complementary 2D-FET Applications Using MoS2 and WSe2

First principle calculations for efficient transition metal contacts with monolayer MoS2-WSe2 are carried out for complementary device application. The four parameters analysed are exchange energy, density of states, entropy measurements, and effective potential periodicity at interface. Each characterises the electrical contact, as exchange energy establishes stable interface with minimum energy (contacts with strong bonding); density of states determines the charge polarity selection (electron or hole transport) and carrier flow rate through interfaces; entropy measurement reveal contacts with minimum phonon scattering rate (enhanced mobility); and effective potential continuity provides an alternative view of contact resistance from quantum mechanical perspective. Combining these results reveal that in specific crystallographic orientation among the 3d group: V, Cr, Co, and Ni; from 4d group: Tc, Ru, Pd, Ag and from 5d group: Ir, Pt, Au form suitable elemental electrodes for MoS2-WSe2 complementary FET applications.
Mapping Paddy Rice Using Sentinel-1 SAR Time Series in Camargue, France

This study proposes an effective method to map rice crops using the Sentinel-1 SAR (Synthetic Aperture Radar) time series over the Camargue region, Southern France. First, the temporal behavior of the SAR backscattering coefficient over 832 plots containing different crop types was analyzed. Through this analysis, the rice cultivation was identified using metrics derived from the Gaussian profile of the VV/VH time series (3 metrics), the variance of the VV/VH time series (one metric), and the slope of the linear regression of the VH time series (one metric). Using the derived metrics, rice plots were mapped through two different approaches: decision tree and Random Forest (RF). To validate the accuracy of each approach, the classified rice map was compared to the available national data. Similar high overall accuracy was obtained using both approaches. The overall accuracy obtained using a simple decision tree reached 96.3%, whereas an overall accuracy of 96.6% was obtained using the RF classifier. The approach, therefore, provides a simple yet precise and powerful tool to map paddy rice areas.
Multi-Area Load Frequency Control in Power System Integrated With Wind Farms Using Fuzzy Generalized Predictive Control Method

Frequency security is critical for the power systems’ stability and reliability. The integration of renewable energy resources brings new challenges to the frequency security of power systems. To provide a more robust control method for controlling the frequency and tie-line power flow of an interconnected power system integrated with wind farms (IPSWF), a load frequency control (LFC) controller of generalized predictive control (GPC) based on the Takagi-Sugeno (T–S) fuzzy model (fuzzy-GPC) is proposed in this paper. First, the T–S fuzzy model of the IPSWF is constructed. Then, the GPC is used to design the controller. Lastly, to validate the proposed scheme, an LFC strategy is established for a two-area interconnected power system integrated with a wind farm in power systems computer aided design (PSCAD). The control performance of proportional-integral, GPC, and fuzzy-GPC controller are compared under two faulty operating conditions. The simulation results show that the performance indicators and the dynamic behavior when the fuzzy-GPC controller is used are better than the performance when the PI controller and GPC controller are used. The proposed fuzzy-GPC used in the LFC of the IPSWF can regulate the frequency deviation and tie-line power deviation adaptively and achieve minimum frequency deviation and tie-line power deviation in a multi-area IPSWF.
Manufacturers' Green Decision Evolution Based on Multi-Agent Modeling

The development of green products is gradually becoming important due to serious ecological issues. In this study, an agent-based model is developed to visualize and analyze the evolution of green decision-making in the manufacturing industry. Based on this agent-based model, the macrobehaviors of manufacturers, consumers, and products are analyzed and simulated. Our results show that, first, the manufacturing industry emerges showing a “convergence” effect. The manufacturers may overestimate the consumers’ green degree demand, but this gradually gets corrected through the mechanisms of market competition. Second, as consumer income increases, it becomes easier for manufacturers to adapt to the market’s supply and demand as impacted by the products’ green degrees, and it becomes unfavorable for them to form a monopoly in the market. Furthermore, the profit of manufacturers is mainly derived from the sales and gradually gets more influenced by the products’ green degree when the consumer income increases.
LoCuSS: scaling relations between galaxy cluster mass, gas, and stellar content

We present a simultaneous analysis of galaxy cluster scaling relations between weak-lensing mass and multiple cluster observables, across a wide range of wavelengths, that probe both gas and stellar content. Our new hierarchical Bayesian model simultaneously considers the selection variable alongside all other observables in order to explicitly model intrinsic property covariance and account for selection effects. We apply this method to a sample of 41 clusters at 0.15 < |$z$| < 0.30, with a well-defined selection criteria based on RASS X-ray luminosity, and observations from Chandra/XMM, SZA, Planck, UKIRT, SDSS, and Subaru. These clusters have well-constrained weak-lensing mass measurements based on Subaru/Suprime-Cam observations, which serve as the reference masses in our model. We present 30 scaling relation parameters for 10 properties. All relations probing the intracluster gas are slightly shallower than self-similar predictions, in moderate tension with prior measurements, and the stellar fraction decreases with mass. K-band luminosity has the lowest intrinsic scatter with a 95th percentile of 0.16, while the lowest scatter gas probe is gas mass with a fractional intrinsic scatter of 0.16 ± 0.03. We find no distinction between the core-excised X-ray or high-resolution Sunyaev–Zel’dovich relations of clusters of different central entropy, but find with modest significance that higher entropy clusters have higher stellar fractions than their lower entropy counterparts. We also report posterior mass estimates from our likelihood model.
A systematic review of the academic achievement of primary and secondary school-aged students with developmental language disorder

Background and aims The ability to communicate is a fundamental skill required to participate in school. Students with Developmental Language Disorder (DLD) have persistent and significant language difficulties that impact daily functioning. However, the impact of DLD on the academic achievement of primary and secondary school-aged students has received limited attention. Methods A systematic review of the empirical research published between 2008 and 2020 was undertaken to identify studies that have examined the academic achievement of school-aged students with DLD within curriculum areas. A total of 44 studies were identified that met inclusion criteria for review. Results Students with DLD demonstrated difficulties with academic achievement across all measured curriculum areas compared to their typically developing peers. Most studies focused on literacy skills, including reading, spelling, writing and narratives. Conclusions and implications The performance of students with DLD was heterogeneous with individual students demonstrating relative strengths in some areas of academic achievement. The implications of these results for educational practices and future research are discussed.
The World Mental Health International College Student Survey in Canada: Protocol for a Mental Health and Substance Use Trend Study

Background The World Health Organization World Mental Health International College Student (WMH-ICS) initiative aims to screen for mental health and substance use problems among postsecondary students on a global scale as well as to develop and evaluate evidence-based preventive and ameliorative interventions for this population. This protocol paper presents the Canadian version of the WMH-ICS survey, detailing the adapted survey instrument, the unique weekly cross-sectional administration, the multitiered recruitment strategy, and the associated risk mitigation protocols. Objective This paper aims to provide a methodological resource for researchers conducting cross-national comparisons of WMH-ICS data, as well as to serve as a useful guide for those interested in replicating the outlined cross-sectional methodology to better understand how mental health and substance use vary over time among university students. Methods The online survey is based on the WMH-ICS survey instrument, modified to the Canadian context by the addition of questions pertaining to Canadian-based guidelines and the translation of the survey to Canadian French. The survey is administered through the Qualtrics survey platform and is sent to an independent stratified random sample of 350 students per site weekly, followed by two reminder emails. Upon survey closure every week, a random subsample of 70 nonresponders are followed up with via phone or through a personal email in an effort to decrease nonresponder bias. The survey is accompanied by an extensive risk mitigation protocol that stratifies respondents by the level of need and provides tailored service recommendations, including a facilitated expedited appointment to student counseling services for those at increased risk of suicide. The anticipated sample size is approximately 5500 students per site per year. Results In February 2020, the Canadian survey was deployed at the University of British Columbia. This was followed by deployment at Simon Fraser University (November 2020), McMaster University (January 2021), and the University of Toronto (January 2022). Data collection at all 4 sites is ongoing. As of May 6, 2022, 29,503 responses have been collected. Conclusions Based on international collaboration, the Canadian version of the WMH-ICS survey incorporates a novel methodological approach centered on the weekly administration of a comprehensive cross-sectional survey to independent stratified random samples of university students. After 27 months of consecutive survey administration, we have developed and refined a survey protocol that has proven effective in engaging students at four Canadian institutions, allowing us to track how mental health and substance use vary over time using an internationally developed university student survey based on the criteria from the Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition). International Registered Report Identifier (IRRID) RR1-10.2196/35168
Brand evaluations in sponsorship versus celebrity endorsement

Prior research conceptually assumes that sponsorships might have a stronger impact on brand attitude than do celebrity endorsements primarily due to the more indirect and less commercial intent to persuade. However, empirical evidence is lacking on why and under what conditions this assumed effect of sponsorships actually occurs. This paper empirically analyses potential mediating and moderating drivers of the effect of sponsorships compared with that of celebrity endorsements. The results reveal that higher level of perceived brand authenticity mediates the effect of sponsorships versus celebrity endorsement on brand attitude. Furthermore, the effect of sponsorships on brand authenticity is superior when (a) relative corporate social responsibility (CSR) spending in the industry is low and (b) the corporate reputation of the firm is good.
Paradiplomacy in Protecting West Kalimantan Migrant Workers in Malaysia during the Covid-19 Global Pandemic

The Covid-19 pandemic has required many countries to implement social restrictions and lockdown policies to prevent the spread of the virus within their borders. Malaysia was one of the countries that went into lockdown, which affected the temporary suspension of various non-essential socio-economic activities. As an implication, Malaysia had to implement a policy of massively repatriating some migrant workers to their countries of origin, including Indonesian migrant workers or Pekerja Migran Indonesia (PMI). The repatriation then became a challenge for the Indonesian Government, particularly in West Kalimantan, a province becoming the port of entry for PMI repatriation from Malaysia amidst the measures to prevent the spread of Covid-19. On the other hand, Malaysia’s measures are underway to protect PMI affected by Covid-19. The purpose of this study is to identify the factors causing the non-optimal paradiplomacy carried out by the West Kalimantan Provincial Government in dealing with the consequences of the Covid-19 outbreak on PMI. Protection of PMI in Malaysia should be a concern, considering the lockdown policies implemented in Malaysia require synergistic efforts by both governments and organizations holding a fundamental role in protecting the rights of PMI. This study employed an exploratory method and a qualitative approach with interview techniques as the primary source of data and literature review as a secondary source of data. The analysis in this study refers to the efforts of paradiplomacy proposed by Nugrahaningsih (2015), stating the necessity for mutual priority, wider participation, and government commitment. The results of this study revealed that the non-optimal paradiplomacy of the protection of migrant workers during the Covid-19 pandemic was caused by: (1) The absence of shared priority between both of West Kalimantan and Sarawak Governments regarding the protection of PMI, (2) The lack of participation from NGOs and civil society, and (3) The lack of commitment of the West Kalimantan Government to optimize the protection of PMI through the cooperation with the Sarawak Government (Malaysia).