Miracle-dz/UniFAR-FTUs huggingface dataset:
Translation and Validation of the Arabic Version of the Cancer Needs Questionnaire-Short Form

Objective: Care needs among Arabic cancer patients have not been assessed previously due to the lack of translated instrument that can determine the care needs among the cancer patients in Arab countries. The aim of this study was to translate and validate an Arabic version of the Cancer Needs Questionnaire-Short Form (CNQ-SF). Methods: A cross-cultural adaptation and psychometric testing was used. Brislin's model of translation was used to translate the CNQ-SF from English to Arabic. A cross-cultural adaptation and psychometric testing was used. A sample of 113 participants with different types of cancer completed the study surveys including the CNQ-SF (Arabic version) and Functional Assessment of Cancer Therapy-General (FACT-G). Descriptive, bivariate statistics and exploratory factor analysis (EFA) were performed. Results: Content validity was evaluated by a panel of experts and 20 participants and showed that translated scale was clear, understandable, and logical in order. Reliability analysis of CNQ-SF domains ranged from 0.85 to 0.93 and 0.94 for the total Arabic version of CNQ-SF. Convergent analysis showed a significant relationship between CNQ-SF (Arabic version) and FACT-G. Results of EFA indicated that the CNQ-SF scale has 32-items. It consists of five domains, the results indicated that Kaiser–Meyer–Olkin was 0.851, and Bartlett's Test of Sphericity was significant (significant (P < 0.001). Conclusions: The current study indicates that the Arabic version of CNQ-SF is valid, reliable, and applicable. It can be used by researchers, clinical practitioners, and health educators in Arab countries.
Al,Si order in albite and its effect on albite dissolution processes: A Monte Carlo study

Abstract The role of (Al,Si) disorder in the kinetics of albite dissolution is explored through parameterized Monte Carlo methods. Two dissolution mechanisms multilayer leaching and single-layer retreat. were tested on 48 albite test configurations. In simulations involving multilayer leaching, dissolution rates increased with decreasing long-range order (LRO). We observed a Fivefold maximum increase in dissolution rate tied to (Al,Si) disordering, roughly equivalent to that accompanying a decrease of 1.4 pH units at pH 1.5. This increase in rate due to disordering in albite is similar to that observed from compositional variation in plagioclase feldspars (An47 vs. An0) at low pH. In contrast, (Al,Si) disordering had no discernible effect during the simulations involving the single-layer retreat mechanism. These results suggest that the effect of (Al,Si) disorder on albite dissolution rate is mechanism-dependent
Role of Anisometric Particles in Ice-Templated Porous Ceramic Structure and Mechanical Properties

ROLE OF ANISOMETRIC PARTICLES IN ICE-TEMPLATED POROUS CERAMIC STRUCTURE AND MECHANICAL PROPERTIES Mahesh Banda Old Dominion University, 2020 Director: Dr. Dipankar Ghosh Open-cell macroporous ceramics have a significant impact on advancing various engineering endeavors such as bone-tissue engineering, lithium-ion batteries, filtration, thermal insulation, impact protection, etc. While pore orientation in conventional open-cell foams is random, in recent years, significant interest has grown in utilizing directionally porous ceramics in these applications to enhance performance. Ice-templating has emerged as a versatile technique that can synthesize directionally macroporous ceramics with low pore tortuosity. Although the fabrication is relatively straightforward, the challenge is that there are numerous variables associated with this technique, which can have significant effects on the final structure and macroscopic properties. As a result, understanding structure-property relationships in these materials is of continuing interest for the envisioned endeavors. The central motivation of this dissertation is driven by understanding the role of particle size in tailoring ice-templated structure and compressive mechanical properties and address the underlying structure-mechanical property relationships. The notion for investigating particle size effects is that an increase in particle size can increase lamellar bridge density but without causing a considerable change in porosity. The proposed concept is that replacing a small volume fraction of fine particles with large particles provides a novel approach to tailor lamellar bridge density in ice-templated porous ceramics. The results revealed that by inducing anisometric particles (ceramic platelets) within the equiaxed particles suspension led to dendritic microstructural development with increased lamellar bridging in ice-templated porous materials and thereby marked increase in the compressive mechanical properties. These platelet bridges offered resistance to the sideways deflection of the walls and contributed to the strength enhancement. Further, fine-equiaxed particles in the matrix phase packed more efficiently and offered better sinterability in the platelets-induced ice-templated porous ceramics; and showed enhanced mechanical properties than coarse-equiaxed matrix particles. Also, the mechanical properties of ice-templated porous ceramics are enhanced at highstrain rate regimes of loading. Finally, the porous ceramics containing platelets exhibited improved stability to structural deformation at higher temperatures compared to the materials without platelets. Thus, the findings of this dissertation can be helpful in tailoring the microstructure and mechanical properties of the ice-templated porous ceramics for structural and functional applications.
Microencapsulation of water‐soluble herbicide by interfacial reaction. I. Characterization of microencapsulation

A new microencapsulation was established in which small microcapsules with a hydrophilic polymeric wall could be fabricated, capsulizing the water-soluble content. The new microencapsulation is based on an emulsion interfacial reaction technique that combines the characteristics of an interfacial reaction and conventional emulsion processes. In this technique, hydrophilic polymers [poly(vinyl alcohol) and chitosan] were used as the wall material of the microcapsules. The microencapsulation process was composed mainly of the following steps: preparation of a water/oil (w/o) emulsion 1 containing hydrophilic polymers and a water-soluble core material and w/o emulsion 2 containing a water-soluble crosslinking agent and catalyst; the formation of microcapsules by mixing emulsion 1 and emulsion 2; and washing and drying the formed microcapsules. In the new technique an insoluble polymer film was formed easily by the fast crosslinking reaction on the surface of tiny emulsified polymer solution particles in contact with the emulsified crosslinking agent solution particles under mixing with high speed agitation. Thereby, small stable microcapsules were formed. The emphasis in this study was on the establishment of the microencapsulation process by which microcapsules were formed and controlled. The microencapsulation was characterized by analysis of the size distribution of microcapsules fabricated with process conditions. The clarification of the effect of the preparation conditions was also made on the morphology and diameter of the microcapsules. © 2000 John Wiley & Sons, Inc. J Appl Polym Sci 78: 1645–1655, 2000
Persisting symptoms after uncomplicated COVID-19: Dealing with uncertainty by general practitioner and patient

The first corona pandemic in the Netherlands is now being performed uncontrolled in patients with an aesthetic layer on the skin that is not infected by the microbiological study SARS-CoV-2 (covid-19). In this clinical description, local knowledge of the situation, the role of the applicant diagnoses and belief in patients with covid-19 not used in hospital, but also long-term crawl. For the sake of it as an art as a patient before it can be used safely.
Enhanced Performance of Discharge Plasma in Raw Engine Exhaust Treatment-Operation under Different Temperatures and Loads

This paper reports improved performance of discharge plasma in raw engine exhaust treatment. For the purpose of investigation, both filtered and raw diesel engine exhaust were separately treated by the discharge plasma. In raw exhaust environment, the discharge plasma exhibits a superior performance with regard to NOx removal, energy consumption and formation of by-products. In this study, experiments were conducted at conditions of different temperatures and loads.
Palladium Nanoparticles Supported on Hyperbranched Aramids: Synthesis, Characterization, and Some Applications in the Hydrogenation of Unsaturated Substrates

Hyperbranched (HB) aromatic polyamides (aramids), synthesized from A2 + B3 reagents (A = p-phenylenediamine; B = trimesic acid), have been used as polymeric supports for palladium(0) nanoparticles. The chemical−physical properties of these aramids, denoted as pPDT, have been compared to those of the polymer pABZAIA obtained from the AB2 monomer 5-(4-aminobenzamido)isophthalic acid. The two HB polymers show structural differences in the shape of the macromolecule as well as the nature of the end groups. The pPDT materials exhibit a less regular structure with both amino and carboxy terminal groups, while the pABZAIA polymer contains a single amine focal unit per molecule and carboxy end groups. HB aramid-supported Pd0 nanoparticles were obtained by reduction of polymer-supported PdCl2 with an aqueous solution of NaBH4. Some model compounds, mimicking the polymeric hyperbranched structure, were investigated to gain insight into the nature of the interactions occurring between PdCl2 and the support. The natu.
Aerobic Glycolysis Couples Metabolic Syndrome to Alzheimer Disease

Alzheimer Disease is a global epidemic; every 3 seconds someone in the world develops dementia. An estimated 50 million people are living with a disease that cannot be prevented, treated or cured. Without novel breakthroughs, AD is predicted to exceed 130 million by 2050. Pharmaceuticals offer minimal relief with dismal evidence of reversing neurodegeneration. Research focuses on β-amyloid plaques and tau tangles; but, in a clinical trial, medications designed to sop-up toxic proteins in the brain fail to impede neural decline. Instead, plaques and tangles appear to be late-arrivers in the insidious progression of dementia. The recent explosion of comorbid metabolic pathologies (global prevalence of T2DM estimated @ 463 million) invites researchers into a deeper discussion of bioenergetics regulating cognitive impairment and metabolic dysregulation. Age-related energy deficits, driven by peripheral insulin resistance, exacerbate Aβ/tau accumulation, increase oxidative stress and impede mitochondrial function; work by Sergi et al. and Mastroeni et al. suggest that mitochondrial dysfunction with epigenetic impairment in oxidative respiration appear to be the earliest offenders in the progression of T2DM and AD [1,2]. This case report highlights a novel, integrated intervention with a 69-year-old male dually diagnosed with T2DM and Mild Cognitive Impairment (MCI). Physiological biomarkers were measured pre/mid/post-intervention; the MoCA (Montreal Cognitive Assessment) measured cognitive function, pre/post. Statistically significant results were observed in the metabolic risk biomarkers, memory was restored to normal ranges, and the HbA1c normalized out of the diabetic range Furthermore, the metabolic and cognitive improvements were sustained @ 3 months postintervention. These promising results suggest that dietary ketogenesis restores peripheral insulin sensitivity, mitigates T2DM and improves cognition by circumventing neural starvation via the restoration of metabolic flexibility
Management of Hypertension and Diabetes Mellitus in Patients with Target Organ Damages and/or Previous Cardiovascular Diseases in Lebanon. Where do We Stand with Respect to International Guidelines?

Background: Hypertension and diabetes are major health problems worldwide. They can coexist together increasing the complication rates. The increased incidence of these complications in the Lebanese population reflects a poor disease control, consequently increased risk of death. Objective: The aim of this study was to assess Lebanese physicians’ compliance to international guidelines and their control on diabetes and hypertension. Methods: Retrospective cross-sectional study was conducted on 750 Lebanese patients randomly selected from 6 university hospitals from January 2014 to August 2015. Patients were divided according to their medical history: 252 hypertensive, 249 diabetic, 249 both hypertensive and diabetic. All patients had target organ damages and were admitted to the hospitals. Cardiol Cardiovasc Med 2020; 4 (6): 679-696 DOI: 10.26502/fccm.92920162 Cardiology and Cardiovascular Medicine Vol. 4 No. 6 December 2020. [ISSN 2572-9292] 680 Results: Our study showed the overuse of beta blockers in hypertensive and diabetic patients, while neglecting lifestyle modifications and the drug of choice for special populations. A proportion of 7% of hypertensive patients in the Lebanese population were untreated for their hypertension. The first line treatment for diabetic patients was respected in most of the patients. However, results showed those with diabetes were not properly controlled. Aspirin was only used in half of the patients, though all of them were high-risk with target organ damages. Discussion: Results from this study in Lebanon indicate the absence of adherence to guidelines by the Lebanese physicians, especially in the management of hypertension where beta blockers were overused, in addition to the absence of control of diabetes and hypertension, which may be due to physicians’ non adherence to guidelines or patients’ noncompliance to medications.
False Alarm Reduction in Wavelength–Resolution SAR Change Detection Schemes by Using a Convolutional Neural Network

In this letter, we propose a method to reduce the number of false alarms in a wavelength–resolution synthetic aperture radar (SAR) change detection scheme by using a convolutional neural network (CNN). The detection is performed in two steps: change analysis and object classification. A simple technique for wavelength–resolution SAR change detection is implemented to extract potential targets from the image of interest. A CNN is then used for classifying the change map detections as either a target or nontarget, further reducing the false alarm rate (FAR). The scheme is tested for the CARABAS-II data set, where only three false alarms over a testing area of 96 km2 are reported while still sustaining a probability of detection above 96%. We also show that the network can still reduce the FAR even when the flight heading of the SAR system measurement campaign differs by up to 100° between the images used for training and test.
Deep Learning for Mineral and Biogenic Oil Slick Classification With Airborne Synthetic Aperture Radar Data

Studies of oil slicks in the ocean environment with synthetic aperture radar (SAR) have found that one of the most complex challenges to oil spill detection is the separation of mineral oil spills from slicks that are biogenic in origin. The possible occurrence of multiple scattering mechanisms beyond Bragg scattering for the sea surface, with or without biogenic or mineral oil slicks, and even under low to moderate wind conditions, has also been a subject of debate because the measured signals from these radar-dark surfaces can be contaminated easily by noise. Therefore, the use of noise-uncontaminated data is required for oil spill study in order to avoid significant alteration in the measured radar backscatter, which can lead to misinterpretation and misclassification of the scattering mechanisms involved. To this end, this study uses uninhabited aerial vehicle SAR data, with a noise-equivalent sigma zero as low as −53 dB, to investigate slick classification within a deep learning framework in order to assess deep architectures’ capabilities for providing a reliable and accurate three-state classifier capable of separating mineral oil films from biogenic slicks and from the clean sea. The study exploits parameters with sensitivity to the dielectric constant and ocean wave damping properties, and convolutional neural networks’ (CNNs’) capability for learning nonlinear features, shapes, and textural and statistical patterns, in order to obtain significant classification accuracy. Very high accuracy results have been achieved, with values up to 0.91, 0.94, 0.98, and 0.99 under the most probable real-world spill acquisition conditions.
A simple synthesis of dimethyl 2-pyridone-4,5-dicarboxylate derivatives

Synthese des composes du titre par reaction basique de [dihydro-3,4 trimethoxycarbonyl-1',2',3' allylidene-3] benzooxazine-1,4ones-2; synthese egalement de [dihydro-1,6 oxo-«5» aryl-1] pyridinetricarboxylates-2,3,4
Visible light activity and photoelectrochemical properties of nitrogen-doped TiO2

Nitrogen-doped titania photocatalysts were prepared from titanium tetraisopropoxide or titanium tetrachloride and thiourea. The yellow powders obtained after calcination at 400−600 °C photocatalyze the mineralization of 4-chlorophenol by visible light (λ ≥ 455 nm). Different from previously published data these materials do not contain sulfur but instead nitrogen as the doping component inducing visible light photocatalysis. The measured band gap narrowing of 40−80 meV and the anodic shift of the quasi Fermi potential of 40−90 mV are in agreement with recent results on nitrogen-doped titania.
Species Composition and Stand Structure of Primary and Secondary Moist Evergreen Forests in the Tanintharyi Nature Reserve (TNR) Buffer Zone, Myanmar

The habitat structure and floristic composition examined for this study are of great importance, providing a scientific baseline of information for developing a biodiversity database and in supporting crucial information for the management decision-making process of the buffer zones. The primary objective of this study was to examine the current status of species composition and stand structure of moist evergreen forests distributed in the TNR buffer zone. Forest inventory was conducted in the primary moist evergreen forest (~1 ha) and secondary moist evergreen forest (~1 ha). In the TNR buffer zone, 83 species belonging to 31 families in the primary moist evergreen forest and 86 species belonging to 32 families in the secondary moist evergreen forest were found. The most dominant families in the primary moist evergreen forest were Dipterocarpaceae, Sapindaceae, Meliaceae, Myrtaceae, and Myristicaceae; at species level; this forest was composed of Nephelium lappaceum, Myristica malabarica, Nephelium laurium, Aglaia andamanica, and Diospyros peregrine. The most dominant families in the secondary moist evergreen forest were Myrtaceae, Sapindaceae, Euphorbiaceae, Myristicaceae, and Lauraceae, while Nephelium lappaceum, Syzygium claviflorum, Syzygium sp-1, Eugenia oblate, and Myristica angustifolia were the most dominant at the species level. The results of Sörensen’s similarity index based on common species (Ks) and the similarity index based on species dominance (Kd) were observed at about 55% and 75% between the primary and secondary moist evergreen forests. The basal area (51.39 m∙ha) of the primary moist evergreen forest was higher than that (44.50 m∙ha) of the secondary moist evergreen forest. Between these two forest types, the Shannon-Wiener, How to cite this paper: Zin, I. I. S. , & Mitlöhner, R. (2020). Species Composition and Stand Structure of Primary and Secondary Moist Evergreen Forests in the Tanintharyi Nature Reserve (TNR) Buffer Zone, Myanmar. Open Journal of Forestry, 10, 445-459. https://doi.org/10.4236/ojf.2020. 104028 Received: August 27, 2020 Accepted: October 27, 2020 Published: October 30, 2020 Copyright © 2020 by author(s) and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY 4.0). http://creativecommons.org/licenses/by/4.0/ Open Access I. I. S. Zin, R. Mitlöhner DOI: 10.4236/ojf.2020. 104028 446 Open Journal of Forestry the Simpson and the Evenness indices were not significantly different at (p < 0.05). The total number of trees per hectare (n/ha) of the primary and secondary moist evergreen forests were 910 (±184) and 991 (±183).
An Examination of the Predictive Factorsof Perioperative Mortality in Patients with Colorectal Perforation

1.1. Purpose: Even after surgery and intensive postoperative treatment, the mortality rate associated with colorectal perforation is high. In this retrospective study, we assessed the preoperative predictive factors of perioperative mortality in patients with colorectal perforation. 1.2. Methods: We enrolled a total of 131 patients with colorectal perforation who underwent 2.
The potential storage of carbon caused by eutrophication of the biosphere

We use an element-matching approach to examine the hypothesis that the rate of atmospheric CO 2 increase has been reduced by an increased net storage of carbon in forests, coastal oceans, and the open sea caused by eutrophication of the biosphere with nitrogen and phosphorus. We conclude that a reasonable upper limit of about 200 Tg of the estimated total of 7800 Tg of C0 2 -carbon released to the atmosphere in 1980 could have been stored in biotic reservoirs as organic carbon in trees, soils, and aquatic sediments as a consequence of eutrophication. The reason that storage is so limited relative to total carbon release is that the C:N and C:P ratios in the C0 2 -carbon sources (fossil fuels and primary forests) are much larger than the ratios in the sinks (regrowing forests and aquatic sediments) and that N and P supply controls the rate and amount of storage of organic carbon in the available biotic sinks. DOI: 10.1111/j.1600-0889.1985. tb00060.x
Theoretical calculations on the atomic and electronic structure of β-SiC(110) surface

We present a theoretical calculation of the atomic and electronic structure of β-SiC and its non-polar (110) surface using the full potential linear augmented plane wave (FPLAPW) approach. The calculated lattice constant and bulk modulus of β-SiC crystal are in excellent agreement with experimental data. The atomic and electronic structure of β-SiC(110) surface has been calculated by employing the slab and supercell model. It is found that the surface is characterized by a top-layer bond-length-contracting rotation relaxation in which the Si-surface atom moves closer towards the substrate while the C-surface atom moves outward. This relaxation is analogous to that of III-V semiconductor surface. The driving mechanism for this atomic rearrangement is that the Si atom tends to a planar sp2-like bonding situation with its three N neighbors and the N atom tends to a p3-like bonding with its three Si neighbors. Furthermore, surface relaxation induces the change from metallic to semiconducting characterization.
Circulation time for pseudoplastic liquids in a vessel equipped with a variety of helical ribbon impellers.

Measurements of the circulation time for pseudoplastic liquids in an agitated vessel of 0.128 m diameter equipped with a variety of helical ribbon impellers were carried out in a wide range of apparent Reynolds number by means of a small tracer particle. Seven impellers of different dimensions (clearance between blade and vessel wall, impeller pitch and blade width) were employed in this work.Whilst previous investigators have suggested that the dimensionless circulation time is independent of the Reynolds number, a number of data obtained in this work have proved that the dimensionless circulation time of pseudoplastic liquids with a helical ribbon impeller decreases slightly with decrease in the apparent Reynolds number in the laminar flow region. It was also found that the circulation time increases as the liquid shear-thinning property increases. These results are explained by considering the relation between the motion of a tracer particle and the non-uniformity in viscosity created in a vessel.