Miracle-dz/UniFAR-FTUs huggingface dataset:
Viability and Efficacy of Phytoremediation for Ecological Rehabilitation: A review

The debate regarding the effectiveness, cost-efficiency, and applicability of phytoremediation, a plant-based environmental treatment, is gaining momentum. Phytoremediation involves the use of plants, microbes, nutrients, and agronomic techniques to manage and neutralize contaminants in soil, sediment, and water resources. Its objectives encompass soil stabilization, erosion control, and the improvement of wildlife habitats. Plants possess the capability to absorb, translocate, modify, and immobilize hazardous metals, reducing their toxicity and environmental impact. This method is increasingly adopted in industry today due to its cost-effectiveness and ecological friendliness. Nevertheless, it is undeniable that every process has its own set of advantages and disadvantages, and there is no flawless approach. Therefore, this review aims to provide environmental science researchers with a comprehensive understanding of the strengths and weaknesses of phytoremediation
Terrorism and Manufacturing Productivity Growth in Pakistan

: The study examines the impact of terrorism on manufacturing productivity growth in Pakistan covering the period of 1980-2014. Results of Augmented Dickey Fuller (ADF) and Phillips-Perron (PP) unit root tests illustrated that all the variables are I (1). Thus, study adopted Johansen Co-Integration approach and Error Correction Model to analyze long-run and short-run relationship. The results demonstrated the long-run dynamics among variables. Terrorism, oil price and real effective exchange rate negatively influence manufacturing productivity growth. Exports show positive association with manufacturing productivity growth.
Obsessıve-Compulsıve Dısorder in Patıents wıth Mıld Cognıtıve Impaırment: A Comparatıve Study wıth Healthy Older Adults

Objective: Mild cognitive impairment (MCI) is considered as a prodromal state and a risk factor for dementia. To best of our knowledge, no previous studies have examined the relationship between Ob-sessive-Compulsive Disorder (OCD) and MCI. One of the risk factors for the development of MCI may be OCD. In this study, we hypothesized that the patients with MCI had significantly higher rate of OCD than healthy olders, and some types of preexisting OC symptoms may be associated with MCI. Methods: A total of 66 subjects were assessed for severity of cognitive impairment using the Mini-Mental State Examination (MMSE), Clinical Dementia Rating Scale (CDR), and Addenbrooke’s Cognitive Examination III tests (ACE-III). Lifetime diagnosis of OCD was assessed through Structured Clinical Interview of DSM-IV Axis I disorders (SCID-I). The severity of OCD, and the content of previous Obses-sive-Compulsive (OC) symptoms were measured by Yale-Brown Obsessive Compulsive Scale (YBOCS). Results: MCI patients had more previous depressive episodes, and a lifetime diagnosis of OCD when compared with healthy subjects. Educational level was significantly lower in MCI patients than in healthy elders. The contamination obsessions, cleaning, and checking compulsions were significantly higher in the patients with MCI than in healthy subjects. Conclusion: Our findings may demonstrate that lower educational level, previous OCD, checking compulsions, and current anxiety and depression severity appeared significantly associated with MCI. We suggest that previous OCD and checking OC symptoms may be related to earlier stages of memory dysfunction.
Identi�cation of an Autophagy-Related Gene Signature that Can Improve Prognosis of Hepatocellular Carcinoma Patients

Background: Autophagy is a programmed cell degradation mechanism that has been associated with several physiological and pathophysiological processes, including malignancy. Improper induction of autophagy has been proposed to play a pivotal role in the progression of hepatocellular carcinoma (HCC). Methods: Univariate Cox regression analysis of overall survival (OS) was performed to identify risk-associated autophagy-related genes (ARGs) in HCC data set from The Cancer Genome Atlas (TCGA). Multivariate cox regression was then performed to develop a risk prediction model for the prognosis of 370 HCC patients. The multi-target receiver operating characteristic (ROC) curve was used to determine the model’s accuracy. Besides, the relationship between drug sensitivity and ARGs expression was also examined. Results: A total of 62 differentially expressed ARGs were identi�ed in HCC patients. Univariate and multivariate regression identi�ed �ve risk-associated ARGs (HDAC1, RHEB, ATIC, SPNS1 and SQSTM1) that were correlated with OS in HCC patients. Of importance, the risk-associated ARGs were independent risk factors in the multivariate risk model including clinical parameters such as malignant stage (HR=1.433, 95% CI=1.293-1.589, P<0.001). In addition, the area under curve for the prognostic risk model was 0.747, which indicates the high accuracy of the model in prediction of HCC outcomes. Interestingly, the risk-associated ARGs were also correlated with drug sensitivity in HCC cell lines. Conclusion: We developed a novel prognostic risk model by integrating the molecular signature and clinical parameters of HCC, which can effectively predict the outcomes of HCC patients.
An Efficient EMR Data Access Control in Cloud using Extended HABE (EHABE) Scheme

An emerging cloud computing technology makes the task easier to store the Electronic Medical Record (EMR) data sets by achieving the reduction in processing timeand bandwidth (storage space). To store the sensitive EMR data sets in cloud is the challenging task. For secure storage, the EMR data sets are encrypted before it is getting outsourced and stored into cloud environment. The existing encryption approaches are still lacking to ensure security, scalability and efficiency. To overcome this issue, introduce a technique by combining the strongest and fastest Homomorphic encryption along with Hierarchal Attribute Based Encryption (EHABE) scheme. Utilization of Homomorphic encryption gives high security to sensitive data of EMR data sets in thecloud environment. The research is extendedto provide the scalability by establishing the efficient access control, while accessing the encrypted data from the cloud environment using the combination of hierarchical identity based encryption (HIBE) and a cipher text-policy attribute-based encryption (CP-ABE) i.e., HABE scheme. Thus, the performance analysis of this technique provides high security to the EMR data sets in the cloud environment.
Faktor-Faktor yang Memengaruhi Loyalitas Nasabah dengan Mediasi Kepuasan Nasabah pada PT Bank Seabank Indonesia

Dengan terjadinya perkembangan yang pesat di industri perbankan, persaingan merupakan hal yang melekat dan sering terjadi. Banyaknya kantor cabang dan bank baru yang membuat persaingan di perbankan menjadi lebih sulit. Menciptakan kepuasan nasabah merupakan hal penting yang harus diciptakan oleh perusahaan perbankan. Tujuan dari penelitian ini adalah untuk mengetahui apakah promosi, kualitas layanan, dan citra merek dapat mempengaruhi loyalitas nasabah dengan mediasi kepuasan nasabah. Sebanyak 158 responden berhasil dikumpulkan melalui online kuesioner. Pengambilan sampel menggunakan non-probability sampling dan purposive sampling. Penelitian ini menggunakan program PLS-SEM (Partial Least Square-Structural Equation Modelling). Hasil penelitian ini menunjukkan promosi tidak berpengaruh signifikan terhadap kepuasan nasabah. Kualitas layanan dan citra merek memiliki pengaruh positif dan signifikan terhadap kepuasan nasabah. Promosi tidak berpengaruh signifikan terhadap loyalitas. Kualitas layanan dan citra merek memiliki pengaruh positif dan signifikan terhadap loyalitas nasabah. Promosi tidak berpengaruh signifikan terhadap loyalitas nasabah melalui kepuasan nasabah. Kualitas layanan dan citra merek memiliki pengaruh positif dan signifikan terhadap loyalitas nasabah melalui kepuasan nasabah. With the rapid developments in the banking industry, competition is inherent and often occurs. The large number of branch offices and new banks has made competition in banking more difficult. Creating customer satisfaction is an important thing that must be created by banking companies. The purpose of this research is to find out whether promotion, service quality, and brand image can influence customer loyalty by mediating customer satisfaction. A total of 158 respondents were successfully collected through online questionnaires. Sampling using non-probability sampling and purposive sampling. This study uses the PLS-SEM (Partial Least Square-Structural Equation Modeling) program. The results of this study indicate that promotion has no significant effect on customer satisfaction. Service quality and brand image have a positive and significant impact on customer satisfaction. Promotion has no significant effect on loyalty. Service quality and brand image have a positive and significant influence on customer loyalty. Promotion has no significant effect on customer loyalty through customer satisfaction. Service quality and brand image have a positive and significant impact on customer loyalty through customer satisfaction.
Productivity, water-use eﬀiciency and tolerance to moderate water deficit correlate in 33 poplar genotypes from a Populus deltoides x Populus trichocarpa F1 progeny

Summary Genotypic variability for productivity, water-use eﬃciency and leaf traits in 33 genotypes selected from an F 1 progeny of Populus deltoides Bartr. ex Marsh · Populus trichocarpa L. was explored under optimal and moderate water-deﬁcit conditions. Saplings of the 33 genotypes were grown in a two-plot open ﬁeld at INRA Orle´ans (France) and coppiced every year. A moderate water deﬁcit was induced during two successive years on one plot by withholding irrigation, while the second one remained irrigated (control). Stem biomass and leaf structure (e.g., speciﬁc leaf area and leaf area) were measured in 2004 and 2005 and functional leaf traits (e.g., carbon isotope discrimination, D ) were measured only in 2004. Tolerance to water deﬁcit was estimated at genotype level as the ability to limit losses in biomass production in water deﬁcit versus control trees. Stem biomass, leaf structure and D displayed a signiﬁcant genotypic variability whatever the irrigation regime. For all traits, genotype ranks remained stable across years for similar irrigation conditions. Carbon isotope discrimination scaled negatively with productivity and leaf nitrogen content in controls. The most productive genotypes were the least tolerant to moderate water deﬁcit. No relationship was evidenced between D and the level of tolerance to water deﬁcit. The relationships between traits evidenced in this collection of P. deltoides · P. trichocarpa F 1 genotypes contrast with the ones that were previously detected in a collection of P. deltoides · Populus nigra L. cultivars tested in the same ﬁeld trial.
Forecasting COVID-19 New Cases Using Transformer Deep Learning Model

Making accurate forecasting of COVID-19 cases is essential for healthcare systems, with more than 650 million cases as of 4 January,1 making it one of the worst in history. The goal of this research is to improve the precision of COVID-19 case predictions in Russia, India, and Brazil, a transformer-based model was developed. Several researchers have implemented a combination of CNNs and LSTMs, Long Short-Term Memory (LSTMs), and Convolutional Neural Networks (CNNs) to calculate the total number of COVID-19 cases. In this study, an effort was made to improve the correctness of the models by incorporating recent advancements in attention-based models for time-series forecasting. The resulting model was found to perform better than other existing models and showed improved accuracy in forecasting. Using the data from different countries and adapting it to the model will enhance its ability to support the worldwide effort to combat the pandemic by giving more precise projections of cases.
Mineral Composition of Selected Soils in Saudi Arabia

Ten soil profiles from the agricultural areas in Saudi Arabia were investigated for their mineralogical properties and some general characteristics. It was found that the soils of the eastern region were Torrifluvents and Gypsiorthids, coarse in texture with high salt, gypsum and carbonate contents. Soils of the central region were found to be Torriorthents, Torrifluvents and Torripsamments, medium to coarse in texture with smaller amounts of gypsum and salt than soils in the east. Soils of the western region were Haplargids with minor amounts of carbonate and salt. Carbonate, quartz and gypsum were found to be the main constituents of the sand and silt fractions in soils of the eastern region, while quartz, carbonate and feldspars dominated the sand and silt in the central region. The sand and silt fractions of soils in the west contained mainly quartz, feldspars, hornblende and mica. Palygorskite dominated the clay fractions of soils in the east, while kaolinite was found to be dominant in the central region, and kaolinite, smectite and mica in the west. The mineral composition of the soils was affected by the rocks from which they were derived. Igneous and metamorphic rocks of the Arabian Shield affected the soils in the west, while sedimentary rocks had great influence on soils of the central and eastern regions. Mineralbestand ausgewahlter Boden aus Saudi Arabien Zehn Boden landwirtschaftlich genutzter Flachen in Saudi Arabien wurden auf ihre chemischen, physikalischen und mineralogischen Eigenschaften untersucht. Boden der ostlichen Region zeigten hohe Salz-, Gips- und Karbonat-Gehalte; sie waren grobkornig und wurden als Torrifluvents und Gypsiorthids klassifiziert. In der zentralen Region waren die Boden (Torriorthents, Torrifluvents und Torripsamments) mittel- bis grobkornig und enthielten weniger Gips und Salze als die Boden im Osten. Boden der westlichen Region waren Haplargids mit geringen Karbonat- und Salzgehalten. Die Sand- und Schluff-Fraktionen der Boden im Osten enthielten hauptsachlich Karbonate, Quarz und Gips, wahrend in der zentralen Region Quarz, Karbonate und Feldspate gefunden wurden. Quarz, Feldspate, Hornblenden und Glimmer machten die Sand- und Schluff-Fraktionen der Boden in der westlichen Region aus. Die Tonfraktion der Boden im Osten bestand hauptsachlich aus Palygorskit, in der zentralen Region aus Kaolinit und im Westen aus Kaolinit, Smectit und Glimmer. Der Mineralbestand der Boden wurde stark von den Ausgangsgesteinen beeinflust. Die vulkanischen und metamorphen Gesteine des Arabian Shield bestimmten die Boden im Westen, wahrend Sedimentgesteine die Boden der zentralen und ostlichen Regionen bestimmten.
An Information fusion approach for PALSAR data to retrieve soil moisture

Abstract Estimation of vegetation covered soil moisture with satellite images is still a challenging task. Several models are available for soil moisture retrieval in which water cloud model (WCM) is most common. But, it requires an estimation of accurate vegetation parameterization. Thus, there is a need to develop such an approach for soil moisture retrieval which minimize these limitations. Therefore, this paper deals with the soil moisture retrieval using fully polarimetric SAR data by fusing the information from different bands. Various polarimetric indices and observables were critically analysed, and found that the index; SPAN (total scattered power) gives better information of vegetation cover as compared to other indices/observables. Based on this, WCM model has been modified using SPAN as parameter and soil moisture content were retrieved.
devel-Gastrointestinal motility in elderly patients with well-controlled type 2 diabetes mellitus

– Background – Gastrointestinal (GI) motility disorders in type 2 diabetes mellitus (T2DM) are common. However, the endpoints in well-controlled T2DM in elderly patients are barely understood. Objective – To evaluate GI transit and gastric myoelectric activity in elderly patients with T2DM who were undergoing treatment with metformin and to compare them with non-diabetic healthy controls. Methods – A total of thirty participants were enrolled in this study: young non-diabetic (n=10), elderly non-diabetic controls (n=10), and patients with T2DM managed with metformin (n=10). After fasting overnight, the participants ingested a standard meal and magnetic markers for non-invasive monitoring of GI transit and gastric contractility using the alternating current biosusceptometry and electrogastrography techniques. Results – Mean gastric emptying time, mean colon arrival time, and mean intestinal transit time were determined. There were no significant differences between the groups and in the parameters evaluated ( P >0.05). The frequency and amplitude of gastric myoelectric activity were not different between groups; however, abnormal rhythmic index and the half-bandwidth were slightly higher for both elderly diabetic and non-diabetic groups compared with the young adults ( P <0.01 and P <0.05, respectively). Conclusion – Our study showed unaltered gastric emptying and intestinal transit in T2DM patients with good glycemic control, and suggest changes in the gastric electrical activity can be a part of aging.
Inadequacy of Perfect-Reflector Models in Cavity QED for Systems with Low-Frequency Excitations

(2004) Exact hydrodynamics of a trapped dipolar Bose-Einstein condensate. This document is made available in accordance with publisher policies and may differ from the published version or from the version of record. If you wish to cite this item you are advised to consult the publisher's version. Please see the URL above for details on accessing the published version. Copyright and all moral rights to the version of the paper presented here belong to the individual author(s) and/or other copyright owners. To the extent reasonable and practicable, the material made available in SRO has been checked for eligibility before being made available. Copies of full text items generally can be reproduced, displayed or performed and given to third parties in any format or medium for personal research or study, educational, or not-for-profit purposes without prior permission or charge, provided that the authors, title and full bibliographic details are credited, a hyperlink and/or URL is given for the original metadata page and the content is not changed in any way.
Unveiling the Landau Levels Structure of Graphene Nanoribbons

1Laboratoire National des Champs Magnétiques Intenses, INSA UPS CNRS, UPR 3228, Université de Toulouse, 143 av. de Rangueil, 31400 Toulouse, France 2IMEP-LAHC, Grenoble-INP, Minatec 3 Parvis Louis Néel, BP 257 38016 Grenoble, France 3CIN2 (ICN-CSIC) and Universitat Autonoma de Barcelona, Catalan Institute of Nanotechnology, Campus de la UAB, 08193 Bellaterra (Barcelona), Spain and 4 ICREA, Institucio Catalana de Recerca i Estudis Avançats, 08010 Barcelona, Spain rebeca.ribeiro@lncmi.cnrs. fr
Disaggregation of Global Circulation Model Outputs Decision and Policy Analysis Working Paper No. 2

Summary In light of agricultural researchers’ and geographe rs’ need for high resolution surfaces to assess climate change impacts on agriculture and bi odiversity-related matters, downscaling of GCM (General Circulation Model) outputs has taken on particular importance, and several downscaling methods have been developed to date. These methods have a range of mathematical and/or physical formulations. Some researchers, however, state that downscaling of GCM forecasts is not possible and that the process might substantially and systematically increase unc ertainties while reducing the accuracy of the forecasts. Higher resolution surfaces do not necessarily mean a higher accuracy. They rather suggest disaggregation of GCM forecasts. Disaggregation differs from downscaling in that it is unlikely that the former affects the original spatial or temporal GCM variability. Consequently, disaggregation is le ss vulnerable to criticisms that it alters original GCM patterns. Here we present a set of disaggregated GCM predictions, as well as a global database on climate change data that can be used for crop model ing, niche modeling, and more generally, for assessments of climate change impac ts on agriculture at fine scales. The dataset is applicable for any approach that might r equire monthly maximum, minimum, mean temperatures and monthly total precipitation ( from which a set of bioclimatic indices were be also derived). This database (with a total of 441 different scenarios ‐sum of 24, 20 and 19 GCMs, times 7 time-slices) complements other existing databases that use downscaling, by providing a complementary method through which future climate scenarios can be developed at higher spatial resolu tions than the original GCM spatial resolution. The datasets are available online at http://gisweb.ciat. cgiar.org/GCMPage .
The 2dF QSO Redshift Survey – XIII. A measurement of Λ from the quasi-stellar object power spectrum, P S ( k (cid:2) , k ⊥ )

We report on measurements of the cosmological constant, (cid:3) , and the redshift space distortion parameter β = (cid:5) 0 . 6m / b , based on an analysis of the quasi-stellar object (QSO) power spectrum parallel and perpendicular to the observer’s line of sight, P S ( k (cid:3) , k ⊥ ), from the ﬁnal catalogue of the Two-Degree Field (2dF) QSO Redshift Survey. We derive a joint (cid:3) − β constraint from the geometric and redshift-space distortions in the power spectrum. By combining this result with a second constraint based on mass clustering evolution, we break this degeneracy and obtain strong constraints on both parameters. Assuming a ﬂat ( (cid:5) m + (cid:5) (cid:3) = 1) cosmology and a (cid:3) cosmology r ( z ) function to convert from redshift into comoving distance, we ﬁnd best-ﬁtting values of (cid:5) (cid:3) = 0.71 + 0 . 09 − 0 . 17 and β q ( z ∼ 1.4) = 0.45 + 0 . 09 − 0 . 11 . Assuming instead an Einstein–de Sitter cosmology r ( z ) we ﬁnd that the best-ﬁtting model obtained, with (cid:5) (cid:3) = 0.64 + 0 . 11 − 0 . 16 and β q ( z ∼ 1.4) = 0.40 + 0 . 09 − 0 . 09 , is consistent with the (cid:3) r ( z ) results, and inconsistent with a (cid:5) (cid:3) = 0 ﬂat cosmology at over 95 per cent conﬁdence.
Causality Violating Geodesics in Bonnor ’ s Rotating Dust Metric

Causality violating paths are known to exist in many spacetimes satisfying the Einstein field equations, especially those solutions associated with rotating matter or rotating singularities [1–3] (see also Bonnor [4], and references in [5]). However, examples of causality violating geodesics are sparse in the scientific literature. Chandrasekhar and Wright [6] showed that the Gödel spacetime [1] admits no closed timelike geodesics, even though the spacetime includes closed timelike curves. In the case of the Kerr metric, Carter [3] proved that closed timelike paths exist for some parameter values of the metric. Calvani et al. [7] then showed that a class of timelike geodesics in the Kerr spacetime do not violate causality, but de Felice and Calvani [8] later found numerical solutions for null geodesics that