Miracle-dz/UniFAR-FTUs huggingface dataset:
Association of Blood Pressure, White Matter Lesions, and Regional Cerebral Blood Flow

Background At present, the association between blood pressure, regional cerebral blood flow, and white matter lesions is not well understood. Material/Methods A total of 147 subjects aged from 40 to 80 years were assessed by the Fazekas score for white matter lesions, CT perfusion imaging for regional cerebral blood flow, and 24-h ambulatory blood pressure monitoring for blood pressure level and rhythm. Logistic regression analysis was used to obtain the odds ratio and 95% confidence interval between Fazekas scores and relevant factors. The relationship between blood pressure index and regional cerebral blood flow was analyzed through cubic curve estimation. Results Fazekas score was negatively correlated with regional cerebral blood flow (r=−0.801; r=−0.831, P<0.001). For subcortical lesion, the regional cerebral blood flow of Fazekas grade 0 was 1.976 times that of Fazekas grade 3 (OR=1.976, 95% CI=1.576–2.477), and for periventricular lesion, the regional cerebral blood flow of Fazekas grade 0 was 2.034 times that of Fazekas grade 3 (OR=2.034, 95% CI=1.602–2.583). Increased nighttime systolic blood pressure may be more dangerous (OR=1.112, 95% CI=1.059–1.169). The day-night systolic blood pressure ratio (OR=0.801, 95% CI 0.711–0.902) and the day-night diastolic blood pressure ratio (OR=0.876, 95% CI 0.807–0.950) were significantly correlated with Fazekas score. Conclusions The decrease of white matter regional cerebral blood flow caused by hypertension is probably one of the important causes of white matter lesions. Patients with white matter lesions should also pay attention to the rhythm of blood pressure when controlling hypertension, especially if their blood pressure is too high or too low at night.
Comparison between Gyko inertial sensor and Chronojump contact mat for the assessment of Squat Jump, Countermovement Jump and Abalakov Jump in amateur male volleyball players, amateur male rugby players and in high school students

The aim of this study is to compare vertical jump data obtained by two different measurement systems (Gyko accelerometer and Contact Mat) in order to assess the validity of the Gyko accelerometer as an alternative to the contact mat method. Ninety-six subjects (15.9 ± 1.4 years) performed a single Squat Jump (SJ), Countermovement Jump (CMJ) and Abalakov Jump (ABK). Jump height was simultaneously quantified with the Gyko system and the Chronojump Contact Mat (Criterion Device). Compared to the Contact Mat data, Gyko data determined no significant systematic bias for mean SJ (0.24 cm, p < 0.05, d = 0.04), CMJ (-0.01 cm, p < 0.05, d = 0.001) and ABK (0.001 cm, p < 0.05, d = 0.0002) height. Random bias was ± 5.69 cm for SJ, ± 4.59 cm for CMJ and ± 6.84 cm for ABK height. Pearson R-value demonstrated good to excellent correlation (SJ = 0.89; CMJ = 0.94; ABK = 0.92) between the two devices and Student’s T-test demonstrated no statistical difference between the data obtained (SJ = 0.42; CMJ = 0.97; ABK = 0.98) with the two different methods. Regression equations were provided to estimate the true jump height from Gyko derived data. Our findings indicate that Gyko system can be used interchangeably with Chronojump Contact Mat. It is suggested that practitioners apply the given correction equations for a more precise jump height estimation. The authors would suggest performing multiple set for assessing the endomorph subjects when assessing Squat Jump (SJ) because of increased errors due to soft-tissue movement artefact. Increasing the number of sets and then taking the mean value would decrease the random bias.
Carbon nanotube prevents the secondary structure formation of amyloid-β trimers: an all-atom molecular dynamics study

Abstract Increasing evidence shows that the formation of misfolded aggregates amyloid-β (Aβ) peptide is associated with the Alzheimer’s disease (AD). Recent experiments reveal a significant correlation of the amount of trimer species bound to neurons with increasing neuro-toxicity. Our previous computational study demonstrated that carbon nanotubes (CNT) can inhibit effectively the formation of β-sheet-rich oligomers of Aβ(16-22) – a hydrophobic peptide essential for Aβ fibrillization. However, the influence of CNT on the oligomers formed by full-length Aβ remains elusive. In this study, we have investigated the conformational dynamics of Aβ(1-42) trimer, built from an NMR structure of α-helical monomer, in the absence and presence of a single-walled carbon nanotube (SWCNT). Our simulations demonstrate that SWCNT can significantly hinder the trimerisation and prevents the secondary structure formation of Aβ(1-42) peptide. Hydrophobic and aromatic stacking interactions between SWCNT and Aβ play important roles in the secondary structure formation of the Aβ trimer. This study reveals a complete picture of the detailed preventable mechanism of full-length Aβ(1-42) by SWCNT, providing theoretical insights into the development of drug candidates of AD.
Classification of diabetic and normal fundus images using new deep learning method

Diabetic Retinopathy (DR) is a complication resulting from diabetes due to changes in the retinal blood vessels. The person may lose eyesight because of damaged blood vessels. Although diabetes cannot be cured, but diabetic retinopathy can be treated successfully with laser surgery. So far, there has been a lot of research for diabetes diagnosis and classification of eye images by machine-learning algorithm and neural network, but these algorithms are good for a few images and features are extracted from pictures by manual or semi-automatic methods. With the emergence of deep learning leading to very good results in various areas of computer vision, the Convolutional Neural Network (CNN) was used by researchers as one of the most active algorithms in this area. One of the areas where this type of network has achieved very good results is the classification of the images. In this article, one of the available architectures of the deep convolutional neural network called ResNet is reviewed and will be used for classification of eye fundus Images into two groups of normal and diabetic images. This architecture has been used on the collection of eye fundus images available on the Kaggel website and simulation result has achieved 85% accuracy and 86% sensitivity.
Microemulsion Applications in Carbonate Reservoir Stimulation

Carbonate reservoir stimulation involves the injection of reactive fluids, most commonly hydrochloric acid (HCl), into the porous media to enhance the permeability and increase hydrocarbon production. This process results in the formation of highly conductive flow channels, or wormholes, and relies on the deep penetration of reactive fluids into the formation to maximize stimulation success. However, the rapid rate of reaction of HCl with the carbonate rock often limits the depth of live acid penetration. The reaction is mass transfer limited under typical reservoir conditions. As a result, the acid diffusion and convection rates significantly influence the success of the treatments. Microemul‐ sions prepared with HCl as the dispersed phase offer a solution to significantly reduce the effective diffusivity and, hence, increase the depth of stimulation. This chapter presents the results of laboratory studies of carbonate dissolutions using acid microe‐ mulsions and highlights case histories of industry applications using macroemulsions for carbonate reservoir stimulation. reduce the mobility of the dispersed phase, in this case hydrochloric acid, without a proportionate increase in the fluid viscosity. Microemulsions provide effective acid diffusion coefficients that are two orders of magnitude lower than aqueous HCl. This reduction in the diffusion coefficient is important in carbonate acidizing because the rate of dissolution is mass transfer limited, meaning it can be controlled by changing the rate of convection and/or the rate of acid diffusion. This research evaluated acid microemulsions with respect to the phase behavior, effective diffusivity, and corresponding impact on the dissolution phenomenon occurring during carbonate acidizing. Results demonstrate that acid microemulsions are effective at creating highly‐conductive dissolution channels, or wormholes, in carbonate porous media. Further‐ more, the dissolution structure and corresponding volume of fluid required for a given depth
Ion chromatography-on-a-chip for water quality analysis

We report progress towards developing a Micro-Electro-Mechnical Systems (MEMS)based ion chromatograph (IC) for crewed spacecraft water analysis. This IC-chip is an offshoot of a NASA-funded effort to produce a high performance liquid chromatograph (HPLC)-chip. This HPLC-chip system would require a desalting (i.e. ion chromatography) step. The complete HPLC instrument consists of the Jet Propulsion Labortory’s (JPL’s) quadrupole ion trap mass spectrometer integrated with a state-of-the-art MEMS liquid chromatograph (LC) system developed by the California Institute of Technology’s (Caltech’s) Micromaching Laboratory. The IC version of the chip consist of an electrolysisbased injector, a separation column, two electrolysis pumps for gradient generation, mixer, and a built-in conductivity detector. The HPLC version of the chip also includes a nanospray tip. The low instrument mass, coupled with its high analytical capabilities, makes the LCchip ideally suitable for wide range of applications such as trace contaminant, inorganic analytical science and, when coupled to a mass spectrometer, a macromolecular detection system for either crewed space exploration vehicles or robotic planetary missions.
NUMERICAL SIMULATION OF HIGH-LIFT FLOWS EMPLOYING IMPROVED TURBULENCE MODELLING

In the aerodynamic industrial design process, the use of numerical simulation, including an adequate representation of viscous effects, is of ever increasing importance. Besides transonic flows under cruise conditions, the prediction of high-lift flows at subsonic speed has come into the focus of attention. Typical examples include the calculation of separated flows at high angles-of-attack in 3D or the determination of the angle-of-attack for maximum lift of 2D multi-element airfoils. As simple, standard Boussinesq-viscosity models have proven insufficient to correctly predict complex flow situations, attention is drawn to more reliable approaches towards the modelling of turbulence. This work aims to advocate the use of such methods. In this study, three advanced linear eddy–viscosity turbulence models, viz. the LLR and LEA k − ω models and the SALSA one-equation model, are evaluated with respect to their capability to correctly predict high-lift aerodynamic flows and their industrial applicability. Two multi-element airfoils, a spheroid, which can be regarded as a generic fuselage, and a generic wing-body configuration are investigated for this purpose. The results demonstrate the improved predictive accuracy as well as the feasibility of the presented approaches. While consuming less than 25% more CPU time, the turbulence models presented here deliver superior results compared to their standard counterparts, viz. Wilcox k − ω and the Spalart-Allmaras one-equation model. Additional issues addressed include the performance of such computations on massively parallel supercomputer systems.
Two Types of Lanthanide Coordination Polymers Based on a Homophthalate Ligand Exhibiting Luminescence and a Significant Magnetocaloric Effect

Two types of lanthanide coordination polymers based on homophthalic acid (H2HPA), one-dimensional {[Ln(HPA)(NO3)(H2O)2]·H2O}n (Ln = Eu (1); Gd (2); Tb (3); Dy (4)) and two-dimensional {[Ln2(HPA)3(H2O)2]·H2O}n (Ln = Eu (5); Gd (6); Tb (7); Dy (8)), were solvothermally synthesized. Compounds 1–4 show a one-dimensional (1D) linear chain structure consisting of a HPA2– linker and [Ln2] cluster unit. Compounds 4–8 are crystallographically isostructural and contain 1D lanthanide-carboxylate building units [Ln4(CO2)10]n built from the adjacent Ln3+ ions and carboxyl groups of the H2HPA ligands, which can further give two-dimensional layer structures via the link of HPA2–. The magnetic studies reveal that complexes 2 and 6 with isotropic Gd3+ ion exhibit significant cryogenic magnetocaloric effects with a maximum −ΔSm value of 35.58 and 35.41 J kg–1 K–1 at 2 K and 7 T, respectively. In addition, the solid-state photophysical properties of 1/5 and 3/7 respectively display strong characteristic Eu3+ and Tb3+ photol.
Replantation of an Immature Permanent Maxillary Central Incisor after Traumatic Avulsion: A 26-Month Follow-Up Case Report

Case Report Replantation of the avulsed tooth is the ideal treatment that can restore esthetic appearance and occlusal function shortly after the injury. It often presents a challenge to the clinician. This case report presents the management of an avulsed maxillary permanent left central incisor in an 8-year-old girl. It was kept dry for 40 minutes from the moment of trauma until its replantation. Missing several appointments, the patient was diagnosed with dental ankylosis. After six months of replantation, the root canal was then cleaned and filled with calcium hydroxide. Twenty months after replantation, clinically, the tooth showed 5 millimeters of withdrawal and a severe mobility. The radiographic examination revealed both inflammatory resorption and replacement resorption. Decoronation was applied and the extracted crown was used for temporary prosthesis. Six months later, clinical and radiographic control showed satisfactory healing. This treatment technique has proven to be an advantage for the patient in this growing period by maintaining the esthetics, the height of alveolar bone and by making the provision of an esthetically acceptable permanent restoration at a later age if prognosis becomes poor.
CORPORATE SOCIAL RESPONSIBILITY, ENTERPRISE RISK MANAGEMENT AND EARNINGS MANAGEMENT

This study hypothesize a link between corporate social responsibility (CSR), enterprise risk management (ERM), and earnings management, as it may be that earnings management determines financial performance and that the latter, in turn, affects CSR. The findings show that (1) the implementation of ERM can reduce the effects of individual and overall risk on CSR firm, (2) CSR firms with better risk management engage in earnings management through accruals rather than real activities, (3) CSR firms manage income-increasing earnings through accruals and engage in income-decreasing earnings management through real activities. After controlling for the effects of executives’ characteristic, we find that managers adopt real activities manipulation, increasing short-term incentives.
Synthesis of Palladium Nanoparticles by A Sonochemical Method

A simple sonochemical technique is used to synthesize palladium nanoparticles in a poly(ethylene glycol) (PEG) solvent at room temperature. The reaction based on chemical reduction of PdCl2 by ascorbic acid (AA). The as prepared Pd nanoparticles are highly dispersed and uniform in size (with average size of ～ 20nm). The products were characterized by X ray powder diffraction (XRD) and transmission electron microscopy (TEM).
Determination of 5-Hydroxymethylfurfural in Soy by HPLC

A new method for the determination of 5-hydroxymethylfurfural by high performance liquid chromatography in soy was developed. After extracted by ethyl acetate, the samples were analyzed on a C18 column at 284 nm using a mixture of methanol and water (5:95, v/v) as the mobile phase . Within the linear range of 0.5-20.0 mg/L, the method was fast and accurate with the average recoveries rate and relative standard deviation of 82.4%~86.9 % and 3.2 %~5.1 % , respectively. The minimum determination limit was 0.1 mg/L.
In vivo nanotoxicological profile of graphene oxide

Graphene oxide, a widely studied nano materials, exhibits numerous beneficial effects in medical devices. The graphene sample Graphene oxide (GO):Single-layer graphene oxide, purity 99%, thickness 0.7-1.2 nm (AFM); ~300-800nm X&Y dimensions is the standard size <450 nm & 1-20 µm lateral dimensions from Cheap Tubes Inc., Bratleboro, USA was selected for this study. Characterization of GO and stability were previously studied. All the assays were carried out at a concentration of 1 mg/mL (stock suspension by ultrasonication)(stable 10 days). In this study the first parameter evaluated was in animal toxicity in acute and chronic responses. The second one was to observe the morphology and histological changes on major organs, like signs of inflammatory areas. A total of 25 rats (Fischer 344) were divide in 5 groups (n = 5 animals): negative control group (NCT); Positive cancer control group (PCCT); GO group-1 (GO 1); GO group-2 (GO 2) and GO group-3 (GO 3), with different concentrations of graphene oxide. All the groups were treated by via intra peritoneal (i.p) administration. Biochemical and histopathology results of acute toxicity showed no alterations. In the chronic toxicity was found deposit sections and morphology alterations in different tissues (inflammations). Genotoxicity was dose dependent of GO. This study gave us the limit concentrations of GO free for any biological study.
UNDISTURBED FLUID FLOW FOR IMPROVED MACROSCOPIC ESTIMA- TION OF DRAG FORCES ACTING ON CIRCULAR CYLINDERS

A drag-force model is essential in practical predictions of flows around vegetation/forest/urban canopies, since it is too prohibitive to resolve details of the canopy elements and associated fluid motions, especially in environmental and geophysical applications. The model, however, has a serious difficulty inherent in its formulation: how one can specify the representative velocity? In ideal situations such as flows past an isolated obstacle, it is the velocity of the inflow and is easily available. In flows past multiple obstacles, on the other hand, a straightforward extension of the idea behind the ideal situations abovementioned leads to introduce undisturbed flow, which is the flow that would exist at an obstacle location in the absence of that obstacle but with all other obstacles present. Clearly, this undisturbed flow is unavailable unless a new system where the target obstacle is removed in actual is introduced. Therefore, most of the past studies used information of the fluid flow disturbed by the obstacle as the representative velocity. To improve the accuracy of this approach, one requires a methodology for estimating the undisturbed flow from the disturbed flow field. Here the undisturbed flow has been evaluated directly in fully resolved computations of a two-dimensional flow past circular cylinders and the fundamental properties of the flow are discussed.
Improving Recall In Text Retrieval Using Rank Fusion

Rank-fusion, where the output of more than one retrieval system is fused into a final coalesced result set to be inspected by the user, is a classic approach used in information retrieval to improve system effectiveness. The key idea is to use different sources of information to find a set of documents that are most likely to be relevant. Combining query variations and fusing them has been shown to be a highly effective in improving effectiveness aggregate scores. However, it is unclear whether fusion is equitably improving the retrieval effectiveness across all topics compared to a single-shot baseline. In this work, we explore the use of rank fusion techniques to improve both recall and risk-reward pay-offs, and explore the tension between these two objectives. Through our experimental study, we show that combining rank-fusion, query variations, and system variations into the same fusion pool can dramatically increase the end-to-end effectiveness of recall-sensitive evaluation metrics and also provide the least risk out of all other fusion combinations studied.
Psychological Capital and Its Impact on Decision-Making Patterns an Analytical Study at the General Establishment for Electric Energy Production, Central District

The current research aims to explore psychological capital with its dimensions (self-efficacy, optimism, hope, flexibility) and its effect on patterns used by managers, the research adopted the descriptive analytical approach, and the questionnaire was used as a basic tool for data collection and analysis, and the research sample consisted of (60) in the public establishment To produce electric energy in the central region, many statistical methods were used (arithmetic circles, standard deviations, coefficient of variation, and multiple regression analysis) using the program (spss) and then presented a set of conclusions and proposals that are a path to motivate our leaders and organizations to take care of it. A subject and its variables, and several part of their culture.
IMPACT OF CUSTOMER RELATIONSHIP MANAGEMENT (CRM) ON THE PERFORMANCE OF DEPOSIT MONEY BANKS (DMBS) IN ABUJA

This study examines the impact of Customer Relationship Management on the performance of Deposit Money Banks in Abuja. The study investigates how CRM variables such as customer attraction, customer satisfaction and customer retention impact on the performance of Deposit Money Banks. The study adopted a survey research method where data was collected using questionnaires administered to both employees and customers of the ten randomly selected DMBs in Abuja made up of the 341 Population of the study. Taro Yamane Sample Size formula was used to determine the sample size (184). Out of the 184 copies of questionnaires that were distributed, 175 representing 95.1 % response rate were retrieved and used for analysis. As part of the method of data analysis, Pearson Correlation and Ordinary Least Square (OLS) was used to test the formulated hypotheses in line with the objectives of the study. The major finding reveals that, “there is significant relationship between Customer Relationship Management and performance of Deposit Money Banks in Abuja”. It was recommended that Deposit Money Banks (DMBs) in Nigeria’s North-Central sub-region should improve on Customers’ attraction activities in order to achieve deeper market penetration which will help in attracting more customers to strengthen their competitive positions. The study concluded that DMB’s should adopt CRM since it contributes significantly to their performance.
Establishment and Verification of a Prediction Model for Symptomatic Radiation Pneumonitis in Patients with Esophageal Cancer Receiving Radiotherapy

Background This study aimed to determine the value of the significant index in predicting symptomatic radiation pneumonitis (RP) in esophageal cancer patients, establish a nomogram prediction model, and verify the model. Material/Methods The patients enrolled were divided into 2 groups: a model group and a validation group. According to the logistic regression analysis, the independent predictors for symptomatic RP were obtained, and the nomogram prediction model was established according to these independent predictors. The consistency index (C-index) and calibration curve were used to evaluate the accuracy of the model, and the prediction ability of the model was verified in the validation group. Recursive partitioning analysis (RPA) was used for the risk stratification analysis. Results The ratio of change regarding the pre-albumin at the end of treatment (P=0.001), platelet-to-lymphocyte ratio during treatment (P=0.027), and neutrophil-to-lymphocyte ratio at the end of treatment (P=0.001) were the independent predictors for symptomatic RP. The C-index of the nomogram model was 0.811. According to the risk stratification of RPA, the whole group was divided into 3 groups: a low-risk group, a medium-risk group, and a high-risk group. The incidence of symptomatic RP was 0%, 16.9%, and 57.6%, respectively. The receiver operating characteristic curve also revealed that the nomogram model has good accuracy in the validation group. Conclusions The developed nomogram and corresponding risk classification system have superior prediction ability for symptomatic RP and can predict the occurrence of RP in the early stage.