Miracle-dz/UniFAR-FTUs huggingface dataset:
Mousheerl M. M. Maharaullee FINANCIAL DISTRESS PREDICTION: A MULTINOMIAL LOGISTIC APPROACH TO SMALL COMPANIES

For the past 30 years, there has been continuous effort to explain and predict financial distress from finance, economics and accounting perspectives. Managers of businesses and business owners are constantly under stress to surge this turbulent and unpredictable economic environment. Modelling financial distress provides an early warning of future deviations from budgeted targets and it will help for the mitigation and prevention of these downturns. This study examines the multiple states of financial distress by applying a multinomial logistic regression on a panel sample of 161 companies listed on the FTSE AIM for the period 2002 to 2009. We use the stock-based and flow-based insolvency to categorize our sample into three independent states. Using the multinomial logistic technique, we analyse the impact of accounting ratios, market-based variables, activity and company characteristics, state dependence on entering these three states of financial distress. It has been found that profit margin, cash flow to total assets, change in net income, total liabilities to total assets, EBIT to share capital, dividend per share, dividend yield and most importantly state dependence are the key factors that drives companies into a situation of financial distress. The findings from the internal and external validations shows from the proposed model provide an accuracy of 81.20% and 69.54% respectively at forecasting the states of the companies in the following year.
Effect of combined administration of hydroxycamptothecin and pirarubicin in human bladder cancer cell line 5637

Objective:To study the inhibitory effect of hydroxycamptothecin(HCPT) combined with pirarubicin(THP) in human bladder cancer cell line 5637.Methods:The inhibitory effects of HCPT,THP and HCPT combined with THP on bladder cancer cell line 5637 were determined by MTT assay.And we detected the multidrug resistance(MDR) gene by RT-PCR.Results:The inhibitory effect was found when these two drugs were used alone or together.When used together,it showed the better inhibitory effect in human bladder cancer cell line 5637 than used alone bt either drug.When only used HCPT,we found the expression of mrp-1 and mdr-1 genes.When only used THP,we found the expression of mrp-4 and mdr-1 genes.When used together,we only found the expression of mdr-1 gene.Conclusions:The combined administration of HCPT and THP showed better inhibitory effects along with fewer MDR gene expression.It indicated that combined HCPT and THP administration might have the better clinical results for superficial bladder cancer patient.
Redefining the Gold Standard of Advanced Airway Management: Use of A Dual Camera Input Screen to Facilitate Video laryngoscope-Assisted Fibreoptic intubating Videoendoscopic endotracheal Intubation

Failed or difficult intubation is associated with complications, including increased risk of hypertension, desaturation, unexpected admissions to the intensive care unit and death. Whilst direct laryngoscopy (DL) is by far the most common technique used to guide endotracheal intubation, the associated incidence of failure is high. Alternatives to DL use advanced technology to transmit an image from the tip of the scope to a display screen. Whilst videolaryngoscopy improves the view of the larynx during laryngoscopy; failure of endotracheal intubation with VL is also well documented. Thus, VL is not a panacea. However the combined use of a fibreoptic intubating videoendoscope (FIVE) and a VL eliminates the limitations of each individual device. Whilst the foresight, preparation, equipment and space required to implement this airway management strategy are usually prohibitive; I describe a technique that streamlines this approach. The C-MAC videolaryngoscope (with any blade) and a 11302 BDX FIVE (Karl Storz, Germany), within a clear plastic scope holder, if connected to a dual input 8403 ZX Screen (Karl Storz, Germany) attached to the 8401 YA stand (Karl Storz, Germany) is compact and portable. The combination of the improved visualization of the airway provided by the VL with the ability to use the FIVE as a tracheal tube introducer with a controllable tip greatly increases the range of airway challenges that can be overcome. This emerging technique could therefore redefine airway management
Cloning of 5-enolpyruvylshikimate-3-phosphate Synthase Genes EPSPS from the Upland Cotton and Its Expression in Different Cotton Tissues

5-Enolpyruvylshikimate-3-phosphate(EPSP) synthase is an enzyme of the shikimate pathway.It is the target enzyme of nonselective herbicide glyphosate.This enzyme is located in the chloroplasts of the higher plants.Primers were designed according to the assembled ESTs of Gossypium hirsutum,and a 1834 bp cDNA fragment of G.hirsutum cv.Coker 312 was obtained in this experiment.The frafment contains an ORF comprising of 1565 nucleotides which encodes 521 amino acid.A comparison of the deduced amino acid sequences of cotton and other higher plants genes reveals highly homology over the length of the entire mature protein.The site of transit peptides cleavage is deduced from a comparison to the known cleavage site in other plants.The enzyme,including 74 amino acid chloroplast transit peptides and 447 amino acid mature proteins,comprises conserved region of PEP binding sites and the characteristic sequence of catalytic activity sites.Semi-quantitative analysis of EPSP synthase expression showed that the gene expressed extensively in cotton roots,stems,leaves,and other organs,and leaf is the most highly expressed tissue.A genomic DNA sequence with 3344 bp clone containing an EPSP synthase was isolated from the upland cotton in this experiment,and the EPSPS gene contains eight introns and seven exons.
Studies on the effects of borneol on the distribution of rifampicin in mice

OBJECTIVE To evaluate whether borneol can enhance the permeation of rifampicin into brain.METHODS After ig administration of rifampicin in mice, the drug concentrations in different tissues were determined by RP-HPLC. RESULTS In the group administered only rifampicin, the AUC of rifampicin in liver was the highest, followed by kidney, lung, plasma and brain, and the MRT of rifampicin in kidney was the highest, followed by liver, lung, brain and plasma. On the other hand, in the rifampicin-borneol combination group, the AUC of rifampicin group was the highest in liver, followed by kidney, lung, plasma and brain; the MRT of rifampicin in kidney was the highest, followed by liver, lung, plasma and brain. The sequence of peak concentrations was the same for both groups, ie liver kidney lung brain plasma. CONCLUSION Borneol given orally significantly enhanced the concentration of rifampicin in the brain of mice.
Fifty Years of Botanical Gardens in China

The development, distribution and features of one hundred and forty botanical gardens (BGs) in China are reported and their functions on research, conservation, display and utilization of biodiversity are summarized in this paper. The contributions to the social and economic development in the early stage of Chinese BGs with the researches of economic plant (tobacco), medicinal plant (yam) and wild fruit tree resources are evaluated. The theoretical and applied achievements in recent years in seed science, plant conservation, economic plant introduction, acclimatization and breeding are also described. A general scope of living plant collections in Chinese BGs is presented and the outstanding ones, including Magnoliaceae, Zingiberaceae, Cycadaceae, medicinal plants, Actinidia and Rhododendron are particularly mentioned. With special reference to Chinese penjing art garden and silicified wood garden, the development of scientific popularization and tourism in BGs is reviewed.
Free Radicals in Biology: Oxidative Stress and the Effects of Ionizing Radiation

The most important electron acceptor in the biosphere is molecular oxygen which, by virtue of its bi-radical nature, readily accepts unpaired electrons to give rise to a series of partially reduced species collectively known as reduced (or ‘reactive’) oxygen species (ROS). These include superoxide (O·-2), hydrogen peroxide (H2O2), hydroxyl radical (HO·) and peroxyl (ROO·) and alkoxyl (RO·) radicals which may be involved in the initiation and propagation of free radical chain reactions and which are potentially highly damaging to cells. Mechanisms have evolved to restrict and control such processes, partly by compartmentation, and partly by antioxidant defences such as chain-breaking antioxidant compounds capable forming stable free radicals (e.g. ascorbate, α-tocopherol) and the evolution of enzyme systems (e.g. superoxide dismutase, catalase, peroxidases) that diminish the intracellular concentration of the ROS. Although some ROS perform useful functions, the production of ROS exceeding the ability of th.
Membrane attachment sites for the membrane cytoskeletal protein 4.1 of the red blood cell [see comments]

The identity of the membrane binding sites for the membrane cytoskeletal protein 4.1 of the human red blood cell has been investigated. Exhaustive proteolysis of the membrane with a range of proteases led to the elimination of only some 60% of all binding sites. The predominant integral membrane protein, band 3, as well as glycophorin A, was totally digested at levels of proteolysis that were essentially without effect on the number of 4.1 binding sites. Proteolysis caused scission of the polypeptide chain of glycophorin C (together with the minor product, glycophorin D, of the same gene), but left a fragment from the region of the C-terminus still attached to the membrane. We have found a low-molecular weight protein, possessing an epitope (recognized by an antibody directed against the cytoplasmic domain of glycophorin C) in common with this proteolytic fragment, in cells of a Leach phenotype, which are characterized by lack of extracellular epitopes of glycophorin C. When these membranes were extracted at low ionic strength to dissociate the membrane cytoskeleton, approximately half the content of 4.1 was liberated, compared with only some 25% from normal membranes. Cells of a different variant of the Leach phenotype, which are totally devoid of glycophorin C, lost close to 70% of their 4.1 under these circumstances. The Rh(D) transmembrane protein, which interacts with the membrane cytoskeleton, is also resistant to proteolysis of the cytoplasmic membrane surface, but Rhnull cells, devoid of this protein, showed no decreased retention of 4.1. The results suggest that glycophorin C (with D) may contain two types of binding site for 4.1, which would be sufficient in number to account for all the strong binding of 4.1 on normal membranes; modulation of binding at one of the sites by another protein or by lipid is not excluded. A possible site for reinitiation of translation overlapping the premature stop codon in the mutant expressing the truncated glycophorin C can be discerned.
Mobile Flows, Storage, and Self-Organized Institutions for Governing Common-Pool Resources

Common-pool resources (CPR) are treated as if they were fully described by two characteristics-difficulty of exclusion and subtractability of yield. We focus upon two additional characteristics, mobile flows and storage in the resource. In examining CPR settings involving fisheries, irrigation systems, and groundwater basins, we find that users of these resources pursue different strategies and design different institutional arrangements depending upon whether the resource is characterized by mobile flows and/or storage. From this evidence, we develop a typology of CPRs that is useful for understanding and anticipating resource users' strategies in confronting and solving common-pool problems.
On the proper treatment of connectionism

Abstract A set of hypotheses is formulated for a connectionist approach to cognitive modeling. These hypotheses are shown to be incompatible with the hypotheses underlying traditional cognitive models. The connectionist models considered are massively parallel numerical computational systems that are a kind of continuous dynamical system. The numerical variables in the system correspond semantically to fine-grained features below the level of the concepts consciously used to describe the task domain. The level of analysis is intermediate between those of symbolic cognitive models and neural models. The explanations of behavior provided are like those traditional in the physical sciences, unlike the explanations provided by symbolic models. Higher-level analyses of these connectionist models reveal subtle relations to symbolic models. Parallel connectionist memory and linguistic processes are hypothesized to give rise to processes that are describable at a higher level as sequential rule application. At the lower level, computation has the character of massively parallel satisfaction of soft numerical constraints; at the higher level, this can lead to competence characterizable by hard rules. Performance will typically deviate from this competence since behavior is achieved not by interpreting hard rules but by satisfying soft constraints. The result is a picture in which traditional and connectionist theoretical constructs collaborate intimately to provide an understanding of cognition.
Flow Analysis of a Circular Cylinder on the Savonius Hydrokinetic Turbine Performance Placed the Side of Advancing Blade

The present study has investigated numerically the effect of a circular cylinder diameter installed at the side of the advancing blade on the performance of vertical axis Savonius water turbine. The 2D simulation in the Gambit and Fluent Ansys 17.0 software has been performed by using the technique of the moving mesh and the realizable k-epsilon turbulence model, to compare the Savonius turbine performance between without (conventional turbine) and with a circular cylinder installed at the side of the advancing blade. The numerical validation is done by comparing the result with published experimental data. In this phase, the parameter used is the torque coefficient on the air fluid by varying the three meshes from coarse to fine. Then, after the numerical validation is reached, the working fluid in the simulation will then be converted to water, then the ratio of the diameter of the circular cylinder and the Savonius turbine varies ds/D = 0.1, 0.3, 0.5, 0.7 and 0.9. The flow visualization show that placing the circular cylinder beside of the advanced blade will reduce the pressure and increase the velocity attached on convex advancing blade. The results show that the highest power coefficient (Cp) occurs at ds/D = 0.7 and TSR = 0.7, where the increase in Cp can reach more than 28% compared to the conventional one. Index Term— savonius turbine; circular cylinder; advancing blade; torque coefficient; power coefficient; moving mesh.
Comparative Study of Photosynthetic and Chlorophyll Fluorescence Characteristics of Populus euphratica and P.pruinosa

The photosynthetic and chlorophyll fluorescence characteristics of Populus euphratica and P.pruinosa were comparatively studied.The results showed that the net photosynthetic rates of P.euphratica and P.pruinosa presented a single-peak curve and the Pn of P.euphratica appeared lower at 12:00;Their stomatal conductance appeared to vary in a single-peak curve and their intercellular CO_2 concentrations appeared to vary in a V-shaped curve.Under same experimental conditions,the net photosynthetic rate and stomatal conductance of P.euphratica appeared higher than those of P.pruinosa and reached their peaks at 10:00,and the intercellular CO_2 concentration of P.euphratica appeared lower than that of P.pruinosa and always reached its lowest point at 14:00.After sufficiently adapting to darkness,the chlorophyll fluorescence parameters such as Fo,Fv/Fo,and Fv/Fm of P.euphratica leaves were significantly higher than those of P.pruinosa leaves.The measurement of the daily chlorophyll fluorescence parameters with sunlight as the photochemical light indicated that the ΦPSⅡ,ETR and qP of P.euphratica were higher than those of P.pruinosa but the NPQ of the former was lower than that of the latter.It is because of these photosynthetic and chlorophyll fluorescence differences between P.euphratica and P.pruinosa that P.euphratica is more capable of adapting to the environment with strong sunshine,high temperature and low air humidity in arid and desert regions,and this is one of the physiological reasons why it has a higher net photosynthetic rate.
Progresses in the investigations of peptide deformylase inhibitors

Peptide deformylase (PDF) is an essential enzyme involving in bacterial protein biosynthesis. The peptide deformylase inhibitors (PDFIs) block the growth, metabolism and multiplication of bacteria, potentiating a novel type of antibacterial agent. Recent studies found that many non-peptide and peptidomimetic PDFIs with metal-binding groups have a high affinity to PDF and good antibacterial activity. In this review, the mechanism, structural modifications and structure-activity relationship of PDFIs are summarized.
Self-Driving Network and Service Coordination Using Deep Reinforcement Learning

Modern services comprise interconnected components, e.g., microservices in a service mesh, that can scale and run on multiple nodes across the network on demand. To process incoming traffic, service components have to be instantiated and traffic assigned to these instances, taking capacities and changing demands into account. This challenge is usually solved with custom approaches designed by experts. While this typically works well for the considered scenario, the models often rely on unrealistic assumptions or on knowledge that is not available in practice (e.g., a priori knowledge). We propose a novel deep reinforcement learning approach that learns how to best coordinate services and is geared towards realistic assumptions. It interacts with the network and relies on available, possibly delayed monitoring information. Rather than defining a complex model or an algorithm how to achieve an objective, our model-free approach adapts to various objectives and traffic patterns. An agent is trained offline without expert knowledge and then applied online with minimal overhead. Compared to a state-of-the-art heuristic, it significantly improves flow throughput and overall network utility on real-world network topologies and traffic traces. It also learns to optimize different objectives, generalizes to scenarios with unseen, stochastic traffic patterns, and scales to large real-world networks.
Investigating a Multimodal Approach to Clinical Diagnosis of Mild Cognitive Impairment and Alzheimer’s Disease

INVESTIGATING A MULTIMODAL APPROACH TO CLINICAL DIAGNOSIS OF MILD COGNITIVE IMPAIRMENT AND ALZHEIMER’S DISEASE Sean M. Flannery Virginia Consortium Program in Clinical Psychology, 2020 Director: Dr. Robin Lewis An estimated 5.8 million Americans suffer from dementia due to Alzheimer’s disease (AD), with that number projected to grow to 13.8 million by mid-century (Alzheimer’s Association, 2019). Mild cognitive impairment (MCI) describes the stage between normal cognitive decline that comes with aging and a dementia diagnosis (Peterson, 1999). Due to a lack of a cure or particularly effective treatment, a major goal of treatment is to focus on improving quality of life (Budson & Solomon, 2016). An early and accurate diagnosis can address this goal in a variety of ways. Despite the high prevalence and immense amount of research in MCI and AD, there is still no individual assessment measure that can definitively diagnose either. A multimodal approach must be implemented by clinicians and investigated by researchers to ensure early and accurate diagnosis. This study used multivariate logistic regression to analyze how two neuropsychological screening tests, two brain structures’ volumes, and an eye-tracking outcome all contributed to the diagnostic process. The two screening tests were the only unique contributors to the predictive model, and there was only slight evidence to suggest that the multimodal approach using these measures improved accuracy of diagnosis.
Why is Directional Change suitable for High-Frequency Data?

Time Series (TS) records transactions in a market at fixed intervals. In contrast, Directional Change (DC) records transactions that represent significant price changes in the opposite direction in a trend, where “significance” is observer-dependent. In this paper, we argue that DC is more suitable for recording and analysing High-Frequency Data (HFD). Firstly, significant data points may not be recorded in a TS. Secondly, transactions happen at irregular times, but TS records transactions at fixed intervals. This requires adjustments in the recording process, which may cause serious problems under certain conditions. Thirdly, DC is datadriven: every new transaction could potentially provide us with valuable information on the pulse of the market. For that reason, DC is more suitable for tracking the market for important signals.
Training Effects of Trauma Courses with Regards to the Pre-Hospital Treatment of Spinal Trauma

Background: Prehospital assessment and treatment of spinal injuries include rapid and valid decision making about the necessity of immobilization, sound knowledge of the evaluation of the accident’s kinematics, the examination of the spine and the various methods of immobilization. The aim of the current study was to analyze the subjective uncertainty of paramedics in terms of the pre-hospital evaluation and treatment of potential spinal injuries before and after participating at a Pre-Hospital Trauma Life Support (PHTLS) course. Methods: In a time period of 17 months, participants of PHTLS courses were asked to complete a questionnaire directly before and after participation at a PHTLS course. Results: Among the 465 participants, there was a significant increase in confidence after participation at the PHTLS course when asked about including kinematics in possible injury patterns of the spine (p < 0.001) as well as deciding on certain extrication methods (p < 0.001). Furthermore, confidence significantly increased when asked about pre-hospital diagnosis (p < 0.001) and treatment of potential spinal injuries (p < 0.001) in general. Conclusion: Participation at a PHTLS course was able to strengthen the subjective feeling of confidence in the prehospital treatment of spinal injuries.
Review on Scheduling Algorithms for Data Warehousing

: These instructions Poor performance can turn a successful data warehousing project into a failure. Consequently, several attempts have been made by various researchers to deal with the problem of scheduling the Extract-Transform-Load (ETL) process. In this paper present several approaches in the context of enhancing the data warehousing Extract, Transform and loading stages. To focus on enhancing the performance of extract and transform phases by proposing two algorithms that reduce the time needed in each phase through employing the hidden semantic information in the data. Also focus on the problem of scheduling the execution of the ETL activities, with the goal of minimizing ETL execution time. Explore and invest in this area by choosing three scheduling techniques for ETL. Finally, the experimentally show their behavior in terms of execution time in the sales domain to understand the impact of implementing any of them and choosing the one leading to maximum performance enhancement.
Nonparametric Extension of Naive Bayesian Classiﬁer with Large Health Checkup Database

: This paper describes about the problem on estimation of disease risks with a large health checkup database. The proposed method uses a naive Bayesian classiﬁer with the extension of two dimensional kernel density estimation technique. The framework is tested by estimation of disease risks for examinee with three diseases, hypertension, diabetes and dyslipidemia. Combination of attribute interactions and naive Bayesian method shows considerable improvement in estimation experiments