Miracle-dz/UniFAR-FTUs huggingface dataset:
STUDY OF MANGROVE FOREST MANAGEMENT IN THE PAHAWANG ISLAND VILLAGE MARGA PUNDUH DISTRICT PESAWARAN REGENCY)

Sustainable of mangrove forest management is a proper activity in land and forest product utilization at the coast area. This activity is decent step to relieve mangrove ecosystem demage and preserve it. The circumstances and the factors influenced mangrove forest still needs to be known for the continued in management. The purposes of this study were to determine how the mangrove forest management and development strategy of mangrove forest management. This study was conducted by interviewing the relevant agencies and key informans in the village of Pahawang island from January-April 2015. Datas processing was analyzed by SWOT and descriptive. Result showed that mangrove forest management in good enough with aggressive score (1,22 ; 0,73), which means this strategy gives priority to immediate action by exploiting chances and maintaining strength (growth oriented strategy). Jurnal Sylva Lestari ISSN 2339-0913 Vol. 3 No. 3, September 2015 (95—106) 96 Development strategy in the management have to support each other between relevant agencies, the managers, and society. Besides, tracking mangrove development has to be conducted considering the good forest potentials, with the existence of village regulations, and good response from society towards this plan. The strategy should be done by involving Mangrove Protected Area Management Agency and community to optimalize the development. Sustainability of mangrove forest management, should be accompanied with the advanced knowladge of management. Other priority development is by giving counseling, expert-accompanied training, and efficient technological development.
The Changing Face of the Lithosphere‐Asthenosphere Boundary: Imaging Continental Scale Patterns in Upper Mantle Structure Across the Contiguous U.S. With Sp Converted Waves

Juxtaposed terranes of highly varied tectonic history make up the contiguous U.S.: the tectonically active western U.S., the largely quiescent Archean and Proterozoic cratons of the central U.S., and the Phanerozoic orogen and rifted margin of the eastern U.S. The transitions between these regions are clearly observed with Sp converted wave images of the uppermost mantle. We use common conversion point stacked Sp waves recorded by EarthScope's Transportable Array and other permanent and temporary broadband stations to image the transition from a strong velocity decrease at the lithosphere‐asthenosphere boundary (or LAB) beneath the western U.S. to deeper, less continuous features moving east that largely lie within the lithosphere. Only sparse, localized, weak phases are seen at LAB depths beneath the cratonic interior. Instead, we observe structures within the cratonic lithosphere that are most prominent within the Archean lithosphere of the Superior Craton. The transition from west to east is clearly revealed by cluster analysis, which also shows eastern U.S. mantle velocity gradients as more similar to the western U.S. than the ancient interior, particularly beneath New England and Virginia. In the western U.S., the observed strong LAB indicates a large enough velocity gradient (an average velocity drop of 10 ± 4.5% distributed over 30 ± 15 km) to imply that melt has ponded beneath the lithosphere.
Co-Delivery of Aceclofenac and Methotrexate Nanoparticles Presents an Effective Treatment for Rheumatoid Arthritis

Background Rheumatoid arthritis (RA) is a common acute inflammatory autoimmune connective tissue arthropathy. The genetic studies, tissue analyses, experimental animal models, and clinical investigations have confirmed that stromal tissue damage and pathology driven by RA mounts the chronic inflammation and dysregulated immune events. Methods We developed methotrexate (MTX)-loaded lipid-polymer hybrid nanoparticles (MTX-LPHNPs) and aceclofenac (ACE)-loaded nanostructured lipid carriers (ACE-NLCs) for the efficient co-delivery of MTX and ACE via intravenous and transdermal routes, respectively. Bio-assays were performed using ex-vivo skin permeation and transport, macrophage model of inflammation (MMI) (LPS-stimulated THP-1 macrophages), Wistar rats with experimental RA (induction of arthritis with Complete Freund’s adjuvant; CFA and BCG), and programmed death of RA affected cells. In addition, gene transcription profiling and serum estimation of inflammatory, signaling, and cell death markers were performed on the blood samples collected from patients with RA. Results Higher permeation of ACE-NLCs/CE across skin layers confirming the greater “therapeutic index” of ACE. The systemic delivery of MTX-loaded LPHNPs via the parenteral (intravenous) route is shown to modulate the RA-induced inflammation and other immune events. The regulated immunological and signaling pathway(s) influence the immunological axis to program the death of inflamed cells in the MMI and the animals with the experimental RA. Our data suggested the CD40-mediated and Akt1 controlled cell death along with the inhibited autophagy in vitro. Moreover, the ex vivo gene transcription profiling in drug-treated PBMCs and serum analysis of immune/signalling markers confirmed the therapeutic role co-delivery of drug nanoparticles to treat RA. The animals with experimental RA receiving drug treatment were shown to regain the structure of paw bones and joints similar to the control and were comparable with the market formulations. Conclusion Our findings confirmed the use of co-delivery of drug nanoformulations as the “combination drug regimen” to treat RA.
The Impact of Relationship Marketing Strategies on Customer Loyalty in the High-End Hair Salon Industry in Auckland

<p class="MsoNormal" style="margin-top: 12pt; text-indent: 0cm; text-align: justify;"><span lang="EN-US" style="font-family: 'times new roman', times, serif; font-size: 14pt;">The business world is a competitive place, and enterprises must cultivate sustainable relationships with their clients to gain customer loyalty. Concepts of relationship marketing (RM) are becoming vital in the service industry. Different RM strategies are used to attract customers, but some of these strategies do not achieve customer loyalty as easily as predicted due to customers’ changing behaviour patterns. This paper investigates the impact of RM strategies on customer loyalty through relationship qualities (customer satisfaction and trust) by concentrating on the high-end hairdressing sector in Auckland. Additionally, this research investigates the expectations of customers of high-end hair salons formed by RM strategies, which influence their satisfaction, trust, and customer loyalty to their service provider. The results indicate that brand image shows a significant relevance to trust, satisfaction, and customer loyalty claiming that brand image is an essential element of RM. Additionally, this investigations revels that, hair salons in Auckland are looking forward to ascertaining a sustainable relationship with their clients through a spectrum of strategies such as positive brand image, good service quality, reasonable price, and good value deals to earn optimistic relationship quality, which will ultimately escalate to customer loyalty. Findings of this research will be useful in supporting hair salons to gain a greater understanding of their customers by adopting effective RM strategies. </span></p>
Understanding English Language Anxiety among Undergraduate Saudi EFL Learners: The Case of Business College, PSAU

This study aims to investigate English language anxiety among Saudi EFL learners, understand their experience with the causes and sources of their anxiety, and examine if they witness differences in their anxiety based on the differences in their demographic profile. As the study seeks to understand how certain independent variables (gender, employment profile of learners’ parents, and their educational level) shape and affect the dependent variable (English language anxiety), the quantitative approach (descriptive quantitative design) was selected, and Foreign Language Classroom Anxiety Scale developed by Horwitz et al. (1986) was utilized to collect the data from the participants. A simple random sampling method was employed to select 205 respondents from the total population of students studying at different levels of the undergraduate program at the College of Business Administration, Prince Sattam bin Abdulaziz University, Al-Kharj, Saudi Arabia. The results of the study found that the participants experienced moderate levels of anxiety and that there were several sources of anxiety among Saudi EFL learners. Test and communicative anxieties were found to be the major sources of English language anxiety followed by classroom and negative evaluation anxieties respectively. One-way ANOVA analysis revealed no difference of any significance for English language anxiety among Saudi English students due to variance in their demographic profile. The study findings hold implications as they would be of immense use in addressing the issue of anxiety, understanding the possible sources, and finding ways to overcome issues of anxiety and help students move away from anxiety towards acquiring effective and excellent English language skills and proficiency. Received: 20 September 2023 / Accepted: 19 February 2024 / Published: 5 March 2024
Technical specifications on harmonised epidemiological indicators for biological hazards to be covered by meat inspection of farmed game: Epidemiological indicators for meat inspection of farmed game

In this report, harmonised epidemiological indicators are proposed for foodborne biological hazards to public health that are related to farmed game and meat thereof and that can be addressed within meat inspection. These hazards include Salmonella, Toxoplasma, Trichinella and Mycobacterium in farmed wild boar and deer. An epidemiological indicator is defined as the prevalence or concentration of the hazard at a certain stage of the food chain or an indirect measure of the hazard that correlates to the human health risk caused by the hazard. The indicators can be used by the European Commission and Member States to consider when adaptations in meat inspection methods may be relevant and to carry out risk analysis to support such decisions. It is foreseen that the indicators will be used in the revised meat inspection system for farmed game meat outlined in the European Food Safety Authority scientific opinion, particularly to help categorise slaughter batches, animals and slaughterhouses according to the risk related to the hazards and process hygiene or to enable surveillance for the possible emergence of the hazard. Depending on the purpose and the epidemiological situation, risk managers should decide on the most appropriate indicator(s) to use, either alone or in combination, at national, regional, slaughterhouse or farm/herd level. Member States are invited to report data generated by the implementation of the indicators in accordance with Directive 2003/99/EC. The proposed indicators should be regularly reviewed in light of new information and the data generated by their implementation. © European Food Safety Authority, 2013
Sonographic Measurements of Rectus Femoris Muscle Thickness Strongly Predict Neutropenia in Cancer Patients Receiving Chemotherapy

Simple Summary Individuals with cancer often experience a significant incidence of low skeletal muscle mass. This prospective cohort study, conducted between 2018 and 2020 in cancer patients undergoing anthracycline-based chemotherapy, aimed to explore the association between low skeletal muscle mass, measured by computed tomography (CT) and ultrasound (US), and hematologic toxicity. Regional muscle measurements were carried out using US, and hematologic adverse events were graded using the Common Terminology Criteria for Adverse Events (CTCAE) v5.0. Results showed that low rectus femoris (RF) muscle thickness, determined by specific threshold values, significantly increased the incidence of grade ≥ 3 neutropenia. Regression analysis confirmed that low RF muscle thickness independently increased the risk of grade 3–4 neutropenia, irrespective of age, gender, and body mass index. This study suggests that utilizing US for measuring RF muscle thickness can help identify cancer patients at a higher risk of developing neutropenia, enabling more vigilant monitoring and timely implementation of supportive measures in clinical practice. Abstract The objective of this study was to explore the possible association between low skeletal muscle mass (SMM)—assessed by computed tomography (CT) and ultrasound (US)—and hematologic toxicity in cancer patients. A prospective cohort study was conducted in cancer patients who received anthracycline-based chemotherapy between 2018 and 2020 and who had baseline abdominal CT including L3 level for measuring SMM. Regional muscle measurements were carried out using US. A total of 65 patients (14 males, 51 females) were included. ROC (receiver operating characteristic) analysis identified threshold values of 18.0 mm [AUC (area under the curve) = 0.765] for females and 20.0 mm (AUC = 0.813) for males, predicting severe neutropenia. Using these cut-offs, females with low rectus femoris (RF) thickness (<18.0 mm) had a significantly higher incidence of grade ≥3 neutropenia (50.0% vs. 10.8%, p = 0.005), and males with low RF values (<20.0 mm) had a higher incidence (80.0% vs. 22.2%, p = 0.063). A regression analysis, irrespective of age, gender, and body mass index, revealed that only low RF muscle thickness increased the risk of grade 3–4 neutropenia by 9.210 times (95% CI = 2.401–35.326, p = 0.001). Utilizing US to measure RF muscle thickness aids in identifying cancer patients at an elevated risk of developing neutropenia. Needless to say, US can serve as a convenient and easily accessible tool for assessing low SMM, providing repeat point-of-care evaluations in clinical practice.
Attribution of sea ice model biases to specific model errors enabled by new induced surface flux framework

Abstract. A new framework is presented for analysing the causes of model sea ice biases, demonstrated with the CMIP5 model HadGEM2-ES. Arctic sea ice extent has decreased over recent decades and has reached historic minima in late summer in recent years. Climate models project an ice-free Arctic in late summer during the 21st century, with wide-ranging implications for global climate and geopolitics. However, substantial spread remains in climate model projections of the rate of sea ice decline, with drivers poorly understood. In the framework described, the sea ice volume is treated as a consequence of the integrated surface energy balance. A system of simple models allows specific portions of the surface flux anomaly to be attributed to individual processes by calculating for each process an induced surface flux anomaly . The method allows detailed quantification of the role played by the surface albedo and ice thickness-growth feedbacks in causing anomalous sea ice melt and growth. It shows biases in the HadGEM2-ES sea ice volume simulation to be due to a bias in spring surface melt onset date, partly countered by a counteracting bias in winter downwelling longwave radiation. The framework is applicable in principle to any model and has the potential to greatly improve understanding of the reasons for ensemble spread in modelled sea ice state.
Preferences in the quantiﬁed description of visual groups

Research suggests that people minimize the amount of effort used to generate natural language descriptions of visual scenes. In the case of visual scenes with multiple groups, recent work has found that people tend to generate quantitative descriptions that mention the number and cardinality of groups (e.g., “two groups of three limes”), but omit the total quantity (e.g., “six limes”). This ﬁnding suggests that people groupitize, that is, they more quickly determine the number of grouped items by rapid enumeration of subgroups, rather than slower item-by-item counting. A recent proposal predicts that during description, people exert less effort by encoding and reporting only information that is readily available to perception. In previously studied description tasks, people may have omitted the total quantity from their descriptions because of considerations of brevity and informativity. In this paper, we describe a study designed to test how individuals balance effort, brevity, and informativity when evaluating quantiﬁed descriptions. The ex-periment was designed to elicit more ﬁne-grained preferences for descriptions using direct comparisons between two competing descriptive forms. The results suggest that perceptual effort plays a central role in how people describe grouped collections of items.
Prevalence, Molecular Characteristics and Virulence Identification of Bovine Parainfluenza Virus Type 3 in China

Bovine parainfluenza virus type 3 (BPIV-3) is one of the major pathogens of the bovine respiratory disease complex (BRDC). BPIV-3 surveillance in China has been quite limited. In this study, we used PCR to test 302 cattle in China, and found that the positive rate was 4.64% and the herd-level positive rate was 13.16%. Six BPIV-3C strains were isolated and confirmed by electron microscopy, and their titers were determined. Three were sequenced by next-generation sequencing (NGS). Phylogenetic analyses showed that all isolates were most closely related to strain NX49 from Ningxia; the genetic diversity of genotype C strains was lower than strains of genotypes A and B; the HN, P, and N genes were more suitable for genotyping and evolutionary analyses of BPIV-3. Protein variation analyses showed that all isolates had mutations at amino acid sites in the proteins HN, M, F, and L. Genetic recombination analyses provided evidence for homologous recombination of BPIV-3 of bovine origin. The virulence experiment indicated that strain Hubei-03 had the highest pathogenicity and could be used as a vaccine candidate. These findings apply an important basis for the precise control of BPIV-3 in China.
Monetary Policy and Stock Market Booms

Historical data and model simulations support the following conclusion. Inflation is low during stock market booms, so that an interest rate rule that is too narrowly focused on inflation destabilizes asset markets and the broader economy. Adjustments to the interest rate rule can remove this source of welfare-reducing instability. For example, allowing an independent role for credit growth (beyond its role in constructing the inflation forecast) would reduce the volatility of output and asset prices.
MIDAS: Mixing Ambiguous Data with Soft Labels for Dynamic Facial Expression Recognition

Dynamic facial expression recognition (DFER) is an important task in the ﬁeld of computer vision. To apply automatic DFER in practice, it is necessary to accurately recognize ambiguous facial expressions, which often appear in data in the wild. In this paper, we propose MIDAS, a data augmentation method for DFER, which augments ambiguous facial expression data with soft labels consisting of probabilities for multiple emotion classes. In MIDAS, the training data are augmented by convexly combining pairs of video frames and their corresponding emotion class labels, which can also be regarded as an extension of mixup to soft-labeled video data. This simple extension is remarkably effective in DFER with ambiguous facial expression data. To evaluate MIDAS, we conducted experiments on the DFEW dataset. The results demonstrate that the model trained on the data augmented by MIDAS outperforms the existing state-of-the-art method trained on the original dataset.
PFAS in Paper and Board for Food Contact

Poly- and perfluorinated alkyl substances (PFAS) are used in paper and board food contact materials (FCMs) and they have been found to be highly persistent, bioaccumulative and toxic. The purpose of the Nordic workshop and of this report is to:* create an overview of the use of PFAS in FCMs of paper and board and of the toxicity and migration into food of the various substances* provide an overview of whether appropriate risk assessments for fluorinated substances exist as a basis for specific regulations or recommendations* provide an overview of whether analytical methods suitable for analysing and regulating the substances are available* discuss the possibility and structure of national regulations or Nordic recommendations for PFAS in FCMs of paper and board. Risk management to reduce the total content of organically bound fluorine in paper and board FCMs is supported.
Asymmetric Dynamics in the Correlations of Global Equity and Bond Returns

This paper proposes a new generalized autoregressive conditionally heteroskedastic (GARCH) process, the asymmetric generalized dynamic conditional correlation (AG-DCC) model. The AG-DCC process extends previous specifications along two dimensions: it allows for series-specific news impact and smoothing parameters and permits conditional asymmetries in correlation dynamics. The AG-DCC specification is well suited to examine correlation dynamics among different asset classes and investigate the presence of asymmetric responses in conditional variances and correlations to negative returns. We employ the AG-DCC model to analyze the behavior of international equities and government bonds. While equity returns show strong evidence of asymmetries in conditional volatility, little is found for bond returns. However, both equities and bonds exhibit asymmetries in conditional correlations, with equities responding stronger than bonds to joint bad news. The article also finds that, during periods of financial turmoil, equity market volatilities show important linkages, and conditional equity correlations among regional groups increase dramatically. Furthermore, in January 1999 with the introduction of the euro, we document significant evidence of a structural break in correlation although not in volatility. The introduction of a fixed exchange rate regime leads to near-perfect correlation among bond returns within the European Monetary Union (EMU) countries, which is not surprising when considering the harmonization in monetary policy. However, the increase in return correlation is not restricted to bond returns in EMU countries: equity return correlation both within and outside the EMU also increases. Copyright 2006, Oxford University Press.
Monetary Policy and Housing Prices in an Estimated DSGE for the US and the Euro Area

We estimate a two-country Dynamic Stochastic General Equilibrium model for the US and the euro area including relevant housing market features and examine the monetary policy implications of housing-related disturbances. In particular, we derive the optimal monetary policy cooperation consistent with the structural specification of the model. Our estimation results reinforce the existing evidence on the role of housing and mortgage markets for the US and provide new evidence on the importance of the collateral channel in the euro area. Moreover, we document the various implications of credit frictions for the propagation of macroeconomic disturbances and the conduct of monetary policy. We find that allowing for some degree of monetary policy response to fluctuations in the price of residential goods improves the empirical fit of the model and is consistent with the main features of optimal monetary policy response to housing-related shocks. JEL Classification: E4, E5, F4