Miracle-dz/UniFAR-FTUs huggingface dataset:
Biochemical Composition and Heavy Metal Content in the Mussels of Kadiyapattinam, Kanyakumari distrct, South West Coast of India

Samples of the green mussel, Perna viridis, the brown mussel Perna perna and the parrot mussel were collected from Kadiyapattinam of Kanyakumari coast and their biochemical composition and the levels of heavy metal contamination were analyzed. The results of this study showed that the biochemical composition of the mussels did not very much. The specimens of all the three species of mussels were found to be good aquatic invertebrates for human consumption. P. viridis contained higher proportion of protein than Perna perna and the parrot mussel. Perna perna and the parrot mussel contained more lipid, ash, carbohydrate, and fibre; and their caloric values were also more than that of Perna viridis. Perna perna had the highest moisture content (78.21%) followed by the parrotmussel (19.47%) and Perna viridis (20.30%). Concentrations of the heavy metals (Cd, Cu, Pb, Cr, As, Ni and Se) in the edible portions of the samples were within the values recommended by the WHO. Mercury was not detected and so these mussels are safe for the consumers. The order of concentrations of minerals found in the mussel samples was: K > Na > P > Ca > Mg > Fe > Zn > Mn. Potassium content was more than the other elements. It was evident from the study that in the soft tissue of all Perna species the concentration of essential minerals was higher than the nonessential metals. Kadiyapattinam mussels are a rich source not only of protein but also of all the other micro and macro minerals. The soft tissues of all the mussels had low levels of heavy metal concentration, and this indicates a comparatively lower heavy metal contamination of Kadiyapattinam coast. Mussels are also a rich source of nutritional components and could be used as human diet in place of other fish so as to reduce the pressure on sea foods.
DECOR: Dynamic Decoupling and Multiobjective Optimization for Long-Tailed Remote Sensing Image Classification

In the realm of remote sensing, targets of interest span a range of categories. However, their distribution is not always uniform. Certain categories substantially outnumber others, resulting in what’s termed a “long-tailed distribution” in remote sensing imagery. This imbalanced distribution often biases a classifier’s focus toward the more abundant (head) classes, at the detriment of the less-represented (tail) classes. Such biases undermine the classifier’s generalization performance, particularly in the context of remote sensing image classification (RSIC). While existing mitigation approaches such as resampling, reweighting, and transfer learning offer some respite, they often miss out on in-depth knowledge refinement, rendering them less effective for severe long-tailed RSIC scenarios. To counter these challenges, we introduce DECOR, a dynamic decoupling (DD) and multiobjective optimization framework (MOOF). Within DECOR, the feature extractor and classifier are dynamically decoupled, promoting superior feature representation and classifier training. Then, a multiobjective optimization approach is proposed to delve deeper, refining feature representation at the knowledge level using learnable feature centroids (LFCs) coupled with masked world knowledge learning (WKL). Moreover, to combat the pronounced effects of sample imbalance on classifier training, we employ a class-balanced resampling technique paired with a parameter-efficient adapter, which sharpens the classifier’s decision boundary and bridges the gap between representation and classification. DECOR’s efficacy is validated through comprehensive experiments on several datasets, including the NWPU-RESISC45-LT (NWPU-LT), AID-LT, and our self-built BIT-AFGR50-LT. Experimental results demonstrate DECOR’s marked enhancement in performance on long-tailed datasets. Our source code is available at: https://github.com/ChloeeGrace/DECOR.
Comparative assessment of wetland and coastal plain soils in Calabar, Cross River State

The comparative assessment of wetland and coastal plain soils for agricultural productivity were studied. The investigation was carried out in two areas: Atimbo and Obufa Esuk in Calabar, Cross River State. The dominant particle size in both coastal and wetland soil was sandy texture. The mean bulk density values of 1.35 g/cm 3 and 1.30 g/cm 3 were obtained for Atimbo and Obufa Esuk coastal plain soil while 1.33 g/cm 3 and 1.30 g/cm 3 were obtained for Atimbo and Obufa Esuk wetland soil respectively. Total porosity in wetland soils was lower than coastal plain soil whereas moisture content in wetland soil was higher than coastal plain soil. Except Ap horizon in Atimbo coastal plain soil, the pH observed for the studied soils were all below pH of 5.0 unit which signifies high acidic condition. The mean organic carbon content in coastal plain soil was lower than wetland soil. Available phosphorus in the studied soils were high with Atimbo and Obufa Esuk coastal plain soil having a mean value of 32.10 and 32.42 mg/kg respectively, whereas those in Atimbo and Obufa Esuk wetland soils were 32.73 and 33.88 mg/kg respectively. The exchangeable calcium content obtained for both coastal and wetland soils were all below the critical limit of 5.0 cmolkg -1 . Although exchangeable magnesium content was low in both soils but wetland soils was only slightly below the critical value of 1.5cmol/kg when compared to coastal plain soil. Both wetland and coastal plain soils were below (>0.2 cmolkg -1 ) critical level of K in soils of the zone. Also, exchangeable Na in both soil were low and below 0.3 cmol/kg limit and are adequate for cultivation of arable and tree crops. ECEC in both soils were low whereas percent base saturation was high. The mean C:N ratio in Atimbo and Obufa Esuk coastal plain soil were 11.45 and 15.48 respectively. Comparatively, the C:N ratio in Atimbo and Obufa Esuk wetland soils was slightly higher having a mean value of 16.39 and 18.14 respectively. This also reflect low rate of decomposition because of anaerobic condition of the soil. The Mg:K ratio were low in both soils. The Ca:Mg ratio values were high in wetland soil when compared with a normal range of 3:1-5:1 for productive soils and was low for coastal plain soil. Per cent silt content, moisture content, and exchangeable sodium of soil sample analyzed from wetland and coastal plain soil in Atimbo were significantly different (p<0.05). The result of the studied soils indicated that coastal plain soil is already losing its fertility status as typified by low values of organic carbon, total nitrogen, Exchangeable cations and high acidity couple with low moisture content; hence there is need to harnessed wetland soil for crop productivity. Wetland soils could be exploited for the cultivation of rice, oil palm, coconut, plantain, pineapple and sugar cane with judicious application of lime, and N and K fertilizers since these crops can perform well under acidic condition. Keywords: Wetland soil, coastal plain soil, soil fertility, soil properties
Net rainfall estimation by the inversion of a geomorphology-based transfer function and discharge deconvolution

ABSTRACT The assessment of net rainfall, defined as the intermediate hydrological variable linked in between the hillslope and the river network, is a challenge. This paper presents a method for net rainfall estimation, using inverse modelling associated to a geomorphology-based transfer function. The analysis is carried out in semi-arid Tunisia, with a dataset from event discharges in a mesoscale dryland basin. A complete sensitivity analysis is developed, along with a discussion of validity limits for simplifying assumptions and the identification of paths for improvement. This work could be relevant for data-scarce areas, thanks to the use of simple dynamic conceptualization and being based on observable geomorphological features, adjusted to the available data and knowledge.
Factors Associated with Sleep Disturbances in SLE Patients: A Descriptive Cross-Sectional Study

Background: Systemic lupus erythematosus (SLE), a diverse autoimmune inflammatory condition, affects various organs and systems. Determining the origin of sleep disturbances in systemic lupus erythematosus patients is essential to create specific and focused measures to enhance sleep quality. Objective: This study aimed to evaluate the sleep quality of a group of patients with systemic lupus erythematosus and investigate the correlation between sleep quality and disease activity, severity, and different disease parameters. Patients and methods: The present cross-sectional study included 73 systemic lupus erythematosus patients. Disease activity was assessed by means of the Systemic Lupus Erythematosus Disease Activity Index 2000 (SLEDAI-2K). SLE severity was assessed by the SLICC/ACR damage index. Life quality was assessed by the short form quality of life (SF-36 QoL) scale. Assessment of sleep disturbances was conducted using the Pittsburgh Sleep Quality Index (PSQI). Results: Patients with lower PSQI (21) scores showed significantly higher SLEDAI scores, indicating a more active disease compared to those with higher scores (p=0.001). Lower scores were associated with significantly greater SLICCs scores, indicating a more severe disease state (p=0.008). Patients with good PSQI 21 scores had slightly higher SF36 scores (mean=60.58) than those with poor scores (mean=54.11), nevertheless, the disparity did not exhibit statistical significance (p=0.071). Conclusion: Systemic lupus erythematosus patients often suffer from poor sleep quality. Disease features and sleep variables impact sleep quality. Poor sleep may negatively impact systemic lupus erythematosus patients' disease activity, damage, as well as well-being.
Ag2S-Decorated One-Dimensional CdS Nanorods for Rapid Detection and Effective Discrimination of n-Butanol

N-butanol (C4H9OH) is a volatile organic compound (VOC) that is susceptible to industrial explosions. It has become imperative to develop n-butanol sensors with high selectivity and fast response and recovery kinetics. CdS/Ag2S composite nanomaterials were designed and prepared by the solvothermal method. The incorporation of Ag2S engendered a notable augmentation in specific surface area and a consequential narrow band gap. The CdS/Ag2S-based sensor with 3% molar ratio of Ag2S, operating at 200 °C, demonstrated a remarkably elevated response (S = Ra/Rg = 24.5) when exposed to 100 ppm n-butanol, surpassing the pristine CdS by a factor of approximately four. Furthermore, this sensor exhibited notably shortened response and recovery times, at a mere 4 s and 1 s, respectively. These improvements were ascribed to the one-dimensional single-crystal nanorod structure of CdS, which provided an effective path for expedited electron transport along its axial dimension. Additionally, the electron and chemical sensitization effects resulting from the modification with precious metal sulfides Ag2S were the primary reasons for enhancing the sensor response. This work can contribute to mitigating the safety risks associated with the use of n-butanol in industrial processes.
Sugarcane yield prediction in Brazil using NDVI time series and neural networks ensemble

ABSTRACT The objective of this study is to predict the sugarcane yield in São Paulo State, Brazil, using metrics derived from normalized difference vegetation index (NDVI) time series from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor and an ensemble model of artificial neural networks (ANNs). Sixty municipalities were selected and spectral metrics were extracted from the NDVI time series for each municipality from 2003 to 2012. A neural network wrapper with sequential backward elimination was applied to remove irrelevant and/or redundant features from the initial data set, reducing over-fitting and improving the prediction performance. Afterwards the sugarcane yield was predicted using a stacking ensemble model with ANN. At the predicted yield, the relative root mean square error (RRMSE) was 6.8% and the coefficient of determination (R2) was 0.61. The last three months were removed from the initial time-series data set to forecast the final sugarcane yield, and the process was repeated. The feature selection (FS) improved again the prediction performance and Stacking improved the FS results: RRMSE increased to 8% and R2 to 0.43. The yield was also estimated for the entire State, based on the average of the 60 selected municipalities, which were compared to the official data surveys. The Stacking method was able to estimate the sugarcane yield for São Paulo State with a smaller RMSE than the official data surveys, anticipating the crop forecast by three months before the harvest.
STUDY ON THE ASEXUAL PROPAGATION OF BILLBERGIA NUTANS H. WENDL. EX REGEL.

: Billbergia nutans H. Wendl. ex Regel (Bromeliaceae), is an ornamental species widely commercialized and produced by nurserymen. There is scarce diffusion and bibliography available in Spanish about the production and management of this species. Furthermore, the availability of improved species and hybrids is scarce in Argentina. The objective of this study was to develop a protocol for the asexual propagation of this species, useful for nurserymen. The first phase of the study was to propagate plants of Billbergia nutans by clumps division. Then, one group was subjected to apical bud removal of the growing apex (decapitation) by mechanical methods, while the other was a control group. Thereafter, variables such as number of offspring produced, length of offspring and leaves were measured. In the second phase, we evaluated the effect of the application of mineral nutrition with synthetic auxins on relative growth rate and root variables using RhizoVision Explorer (RVE) software ( © Noble Research Institute, LLC). Apical bud removal by destruction of the apical meristem in Billbergia nutans plants generated a greater number of offspring and a better morphological conformation for the sale of seedlings for commercial purposes. In addition, decapitated plants had a higher relative growth rate with mineral nutrition with synthetic auxins.
An ETD Method for Vulnerable American Options

This paper introduces the exponential time differencing (ETD) technique as a numerical method to efficiently solve vulnerable American options pricing. We address several challenges, including removing cross-derivative terms through appropriate transformations, treating early-exercise opportunities using the penalty method, and substituting fixed boundary conditions with corresponding one-sided finite differences. The proposed method is shown to be both accurate and efficient through numerical experiments, which also compare the results with existing methods and analyze the numerical stability and convergence rate.
General Resilience to Cope with Extreme Events

Resilience to specified kinds of disasters is an active area of research and practice. However, rare or unprecedented disturbances that are unusually intense or extensive require a more broad-spectrum type of resilience. General resilience is the capacity of social-ecological systems to adapt or transform in response to unfamiliar, unexpected and extreme shocks. Conditions that enable general resilience include diversity, modularity, openness, reserves, feedbacks, nestedness, monitoring, leadership, and trust. Processes for building general resilience are an emerging and crucially important area of research.
Robust nonergodicity of the ground states in the 
β
 ensemble

In various chaotic quantum many-body systems, the ground states show non-trivial athermal behavior despite the bulk states exhibiting thermalization. Such athermal states play a crucial role in quantum information theory and its applications. Moreover, any generic quantum many-body system in the Krylov basis is represented by a tridiagonal Lanczos Hamiltonian, which is analogous to the matrices from the $\beta$ ensemble, a well-studied random matrix model with level repulsion tunable via the parameter $\beta$. Motivated by this, here we focus on the localization properties of the ground and anti-ground states of the $\beta$ ensemble. Both analytically and numerically, we show that both the edge states demonstrate non-ergodic (fractal) properties for $\beta\sim\mathcal{O}(1)$ while the typical bulk states are ergodic. Surprisingly, the fractal dimension of the edge states remain three time smaller than that of the bulk states irrespective of the global phase of the $\beta$ ensemble. In addition to the fractal dimensions, we also consider the distribution of the localization centers of the spectral edge states, their mutual separation, as well as the spatial and correlation properties of the first excited states.
How Do EFL Students Across Gender Perceive Classpoint toward Their Motivation in Learning English?

This study seeks the difference between female and male students' intrinsic and extrinsic motivation and attitudes toward using Classpoint in EFL learning. Applying quantitative research, 61 EFL high school students of Brawijaya Smart School participated in this research. The instrument used in this study was a questionnaire consisting of 21 items using a Likert-type scale—the chosen items comprised three topics (students' intrinsic and extrinsic motivation and attitudes toward the use of Classpoint). The data analysis uses SPSS 27 and t-test to seek the significance of the result of the present study. This research indicates that female students have a higher motivation rate and attitude toward using Classpoint in EFL classrooms and that students across genders significantly differ in their perception of intrinsic motivation and attitudes. It also showed that utilizing Classpoint augments intrinsic motivation better than extrinsic motivation. The result implies English teachers should motivate and encourage male students to participate in the learning process by providing fun activities and giving rewards.
Identification and Structural Characterization of Degradation Products of Linagliptin by Mass Spectrometry Techniques

As part of the development and production of pharmaceuticals, the purity of Active Pharmaceutical Ingredients stands as a fundamental parameter that significantly influences the quality, safety, and efficacy of the final drug product. Impurities in Active Pharmaceutical Ingredients are various unwanted substances that can appear during the whole manufacturing process, from raw materials to the final product. These impurities can stem from multiple sources, including starting materials, intermediates, reagents, solvents, and even degradation products resulting from exposure to environmental factors such as heat, light, or moisture. Their presence can potentially compromise the therapeutic effect of the drug, introduce unexpected side effects, or even pose safety risks to patients. This study aims to conduct the forced degradation of linagliptin and subsequently attempt to identify the resulting degradants. The degradation procedures were carried out in accordance with the guidelines of the International Committee for Harmonization. The degradation profile of linagliptin was investigated under various conditions, including acid hydrolysis, alkaline hydrolysis, oxidation, heat, and light exposure, utilizing ultra-performance liquid chromatography connected to a photo array detector. Identification and characterization of the degradation products were achieved using an ultra-performance liquid chromatography coupled with a single quadrupole detector mass spectrometer and also a liquid chromatography coupled with a high-resolution mass spectrometry. The identified degradation products demonstrate that linagliptin is particularly susceptible to degradation when exposed to acid and peroxide. Whereas, no significant degradation effects were observed under alkali, thermolytic, and photolytic conditions.
Crafting the Customer’ Positive Affect Experience and Loyalty towards the Omni-channel Banking Sector in Pakistan: A Two-staged Classical-SEM and Artificial Neural Network (ANN) Approach

The primary purpose of this study was to examine the six aspects (transaction information, information access, promotion, product and price, order fulfilment, and customer service) of Omnichannel marketing strategies on the customer's positive affect experience and additionally study the impact of the positive affect experience on the customer loyalty. To achieve this purpose, we applied the online survey-questionnaire data collection technique while using the non-probabilistic convenience sampling technique to collect 453 data from the customers of those banks in Pakistan that implemented the Omnichannel strategies in their business operations. The Covariance-Based Structural Equations Model (CBSEM) results show that all the Omnichannel strategies significantly and positively impact customer positive affect experience except the integrated promotion while customer positive affect experience also positively impact customer loyalty. The results of this study's Artificial Neural Network (ANN) show that integrated customer service and product and price were the most important predictors of the positive customer experience in the Omnichannel banking sector in Pakistan. These outcomes of this study also provide various theoretical and managerial implications in the existing literature on the Omnichannel.
Diagnostic Accuracy of Transvaginal Ultrasound and Magnetic Resonance Imaging for the Detection of Myometrial Infiltration in Endometrial Cancer: A Systematic Review and Meta-Analysis

Simple Summary The optimal imaging method for deep myometrial infiltration assessment in endometrial cancer is uncertain. We aimed to compare transvaginal ultrasound and magnetic resonance imaging in the preoperative assessment of deep myometrial infiltration. Our study indicates that transvaginal ultrasound provides diagnostic performance comparable to magnetic resonance imaging. However, magnetic resonance imaging showed significantly better specificity in low-grade endometrial cancer. Further studies are needed for the evaluation of myometrial infiltration, especially concerning patients with fertility-sparing wishes. Abstract In endometrial cancer (EC), deep myometrial invasion (DMI) is a prognostic factor that can be evaluated by various imaging methods; however, the best method of choice is uncertain. We aimed to compare the diagnostic performance of two-dimensional transvaginal ultrasound (TVS) and magnetic resonance imaging (MRI) in the preoperative detection of DMI in patients with EC. Pubmed, Embase and Cochrane Library were systematically searched in May 2023. We included original articles that compared TVS to MRI on the same cohort of patients, with final histopathological confirmation of DMI as reference standard. Several subgroup analyses were performed. Eighteen studies comprising 1548 patients were included. Pooled sensitivity and specificity were 76.6% (95% confidence interval (CI), 70.9–81.4%) and 87.4% (95% CI, 80.6–92%) for TVS. The corresponding values for MRI were 81.1% (95% CI, 74.9–85.9%) and 83.8% (95% CI, 79.2–87.5%). No significant difference was observed (sensitivity: p = 0.116, specificity: p = 0.707). A non-significant difference between TVS and MRI was observed when no-myometrium infiltration vs. myometrium infiltration was considered. However, when only low-grade EC patients were evaluated, the specificity of MRI was significantly better (p = 0.044). Both TVS and MRI demonstrated comparable sensitivity and specificity. Further studies are needed to assess the presence of myometrium infiltration in patients with fertility-sparing wishes.