Miracle-dz/UniFAR-FTUs huggingface dataset:
Preclinical risk assessment of drug‐induced hypo‐ and hyperprolactinemia

Drug‐induced changes in prolactin signaling may obscure interpretation of preclinical toxicological endpoints. However, with informed consideration, classic hallmarks of hypo‐/hyperprolactinemia can be recognized in short‐ and long‐term rodent bioassays. Findings can be supported and expanded with additional in vivo and in vitro datasets. When taken together with human epidemiological evidence pertaining to the consequences of drug‐induced hypo‐/hyperprolactinemia, such findings permit both an analysis of human relevance and an assessment of human risk. Copyright © 2011 John Wiley & Sons, Ltd.
Implementation of a motion sickness evaluation system based on EEG spectrum analysis

Motion sickness is a normal response to real, perceived, or even anticipated movement. People tend to get motion sickness on a moving boat, train, airplane, car, or amusement park rides. Motion sickness occurs when the body, the inner ear, and the eyes send conflicting signals to the brain. Sensory conflict theory that came about in the 1970's has become the most widely accepted theorem of motion-sickness among scientists [1]. The theory proposed that the conflict between the incoming sensory inputs could induce motion-sickness. However, some new research studies have appeared to tackle the issue of the vestibular function in central nervous system (CNS). In the previous human subject studies, researchers attempt to confirm the brain areas involved in the conflict in multi-modal sensory systems by means of clinical or anatomical methods. Our past studies had investigated the EEG activities correlated with motion sickness in a virtual-reality based driving simulator. We found that the parietal, motor, occipital brain regions exhibited significant EEG power changes in response to vestibular and visual stimuli. Based on these experimental results, we attempt to implement an EEG-based evaluation system to estimate subject's motion sickness level upon the major EEG power spectra from these motion sickness related brain area in this study. The evaluation system can be applied to early detect the subject's motion sickness level and prevent the uncomfortable syndromes occurred in advance in our daily life.
Clone Detection in R

Author(s): MALIK, VALEED | Advisor(s): Kim, Miryung | Abstract: Copy-and-paste code offers an immediate convenience in exchange for latent risk.Clones scattered across a project become difficult to modify consistently.Simple awareness can mitigate this condition.A clone detection tool can identify code duplicates, empowering the user to eliminate the clone.Despite the rise of popularity in data science, the R community has yet to see an effective industrial strength clone detector. This report presents a clone detection process specialized to R.Our tool is based on a metric-based approach with a post-processing step inspired by token-based techniques. Adapted from Deckard, R source code is converted to an abstract syntax tree. Subtrees are encoded with characteristic vectors. These vectors are compared, offering a scalable and effective similarity calculation. To better compare code structure, we derive a program abstraction technique from CCFinder. String comparison is applied on generalized source code which has been stripped of superficial identifiers. A systematic mutation test by Roy et al. is adapted to evaluate RClone's performance. The tool is also applied to 43K SLOC of production source code of R libraries: GGPlot2, Broom, and Knitr. RClone was able to effectively detect useful Type-1, Type-2, and Type-3 across the production source code. A sensitivity analysis, based on the Broom library, suggests an optimal threshold of vector distance at 7.5\% and least common sequence at 67\%. Evaluation also reveals potential opportunities to decrease false positive rates and to prune to the most useful results.
Effect of high-quality nursing intervention on the psychological disorder in patients with gastric cancer during perioperative period

Abstract Background: This study will be proposed for investigating the effects of high-quality nursing intervention (HQNI) on the psychological disorder in patients with gastric cancer during perioperative period (GC-PPP). Methods: A cumulative search from inception up to the March 31, 2020 will be performed in the following databases: Cochrane Library, MEDLINE, EMBASE, Web of Science, VIP database, and China National Knowledge Infrastructure. We will search all potential studies from those electronic databases regardless their language and publication status. We will only consider randomized controlled trials (RCTs) for inclusion, which explores the effect of HQNI on the psychological disorder in patients with GC-PPP. Study identification, information extraction, and study quality appraisal will be independently and respectively done by 2 researchers. Any different opinions between 2 researchers will be disentangled by a third researcher after discussion. Cochrane risk of bias tool will be used for study quality assessment, and RevMan 5.3 software will be utilized for statistical analysis. Results: This study will provide a high-quality synthesis of psychological disorder outcomes to evaluate the effects and safety of HQNI for patients with GC-PPP. Conclusion: The findings of this study will provide reference and evidence to appraise whether HQNI is an effective on the psychological disorder in patients with GC-PPP Study registration number: INPLASY202040080.
Design of an on-board beam generation process for the forward link of a multi-beam broadband satellite system

Next generation high throughput satellite systems are expected to rely on the deployment of a high number of beams in the coverage area. To this end, the payload is equipped with an array fed reflector antenna whose elements/feeds are more than the number of users. Under this context, as the number of beam increases the ground and space units must employ an extensive communication effort on the feeder link (i.e. the link between gateway and satellite) to exchange all of the feed signals yet maintaining a low processing responsibility to the payload. Since the feeder link spectral resources are scarce, it is desirable to use an on-board beam generation process which leads to a significant feeder link bandwidth reduction. In this context, a space/ground processing (i.e. both the gateway and the satellite digitally process the transmitted/received data) must be employed. This implies to implement an on-board beam generation process and, when a full frequency pattern among beams is used, on-ground linear processing techniques are required in order to reduce inter user/beam interference. In this paper, we restrict ourselves to design an on-board beam generation process in the forward link of a space/ground architecture satellite system. Moreover, we focus on linear minimum mean square error precoding strategy at a single gateway architecture. In addition, in order to more reduce payload complexity the beam generation process is assumed to be non channel adaptive (fixed) even if the user link (i.e. the link between satellite and users) channel appears as a random variable. This is done by means of considering robust optimization approach. Then, our design is evaluated both analytically and numerically, and it outperforms the current beam generation process. The provided simulation results quantify the performance gain obtained by our method.
Cocoa and Dark Chocolate Polyphenols: From Biology to Clinical Applications

It is well known that cocoa and dark chocolate possess polyphenols as major constituents whose dietary consumption has been associated to beneficial effects. In fact, cocoa and dark chocolate polyphenols exert antioxidant and anti-inflammatory activities switching on some important signaling pathways such as toll-like receptor 4/nuclear factor κB/signal transducer and activator of transcription. In particular, cocoa polyphenols induce release of nitric oxide (NO) through activation of endothelial NO synthase which, in turn, accounts for vasodilation and cardioprotective effects. In the light of the above described properties, a number of clinical trials based on the consumption of cocoa and dark chocolate have been conducted in healthy subjects as well as in different categories of patients, such as those affected by cardiovascular, neurological, intestinal, and metabolic pathologies. Even if data are not always concordant, modifications of biomarkers of disease are frequently associated to improvement of clinical manifestations. Quite interestingly, following cocoa and dark chocolate ingestion, cocoa polyphenols also modulate intestinal microbiota, thus leading to the growth of bacteria that trigger a tolerogenic anti-inflammatory pathway in the host. Finally, many evidences encourage the consumption of cocoa and dark chocolate by aged people for the recovery of the neurovascular unit.
Coronary atherosclerosis and interventions: Pathological sequences and restenosis

The primary cause of cardiac morbidity and mortality in developed countries is ischemic (coronary) heart disease. The incidence of this disease is virtually all due to atherosclerosis, and ischemic heart disease is also the most prevalent disease in the industrialized world, causing over 40% of all deaths in the United States and Western Europe. In Japan, the incidence of ischemic heart disease due to coronary atherosclerosis is gradually increasing as well. Compared with the classical nomenclature of atherosclerosis; that is, fatty streak, fibrous plaque and complicated lesions, the term Stary’s classification has been universally accepted because it reflects the more recently acquired knowledge about the morphological and biochemical details of the processes in coronary atherosclerosis, which have been obtained by new strategies such as angioscopy, intravascular ultrasound and molecular biological methods. The term Stary’s classification has been applied for the coronary atherosclerosis of patients with acute coronary syndrome at the National Cardiovascular Center, for the analysis of predisposing atherosclerosis of these patients. The recent findings regarding acute coronary syndrome resulting from a rupture of coronary atherosclerotic plaques indicate that this syndrome is probably the most important mechanism underlying the sudden onset. It has been found that the risk of plaque rupture may depend more on plaque composition than on plaque size. Plaques rich in soft extracellular lipids and macrophages are possibly more vulnerable to plaque rupture. Two of the goals of the present review are to clarify how plaque disruption occurs and to elucidate the relationship between plaque disruption and coronary risk factors in elderly Japanese patients with acute coronary syndrome. Coronary stents have been shown to be efficacious in the treatment of acute and threatened closure complicating percutaneous transluminal coronary angioplasty (PTCA) and have produced encouraging initial results in the prevention of restenosis. In the autopsy study of restenosis after PTCA, it was observed that dense caps of collagen fibers in the adventitia in the vicinity of the disrupted internal elastic laminae were present in all of the remodeling lesions. It is suggested that remodeling, which resulted in adventitial scarring, is one of the major causative factors of restenosis after PTCA. The long‐term success of stenting, however, remains limited by the occurrence of late in‐stent restenosis, with an incidence of 20–42% depending on the stent design and the patient population studied. Another aim of the present review is to describe the pathological mechanism of restenosis after PTCA and/or stent replacement and, consequently, the vascular remodeling that occurs around adventitial tissue after PTCA and intimal hyperplasia that is chronically irritated by a foreign body granulomatous reaction after stenting. Finally, the results of the investigation of the effect of a tissue factor pathway inhibitor on the prevention of interventional restenosis is described.
Draft Genome Sequence of the Endophytic Bacillus aryabhattai Strain SQU-R12, Identified from Phoenix dactylifera L. Roots

ABSTRACT Bacillus aryabhattai strain SQU-R12 was isolated from date palm seedlings, where it showed a growth-promoting capacity by being able to synthesize indole-3-acetic acid phytohormone and reduce ethylene biosynthesis by producing 1-aminocyclopropane-1-carboxylic acid deaminase. The draft genome sequence of this strain is reported here.
Squamous cell carcinoma secondary to buruli ulcer.

Buruli ulcer is an emerging infectious disease caused by Mycobacterium ulcerans (MU). Endemic foci have been reported in some regions of Africa other than Buruli (Uganda), Australasia, and South America, but no case has ever been described in Europe except for patients coming from those countries. Three genetic variants have been identified from the respective continents with differences in virulence and clinical manifestations.
Damping of intraocular pressure fluctuations

Background: There is increasing evidence that relatively rapid spikes in intraocular pressure may contribute to axonal damage in glaucoma. The present study seeks to quantify the ability of a compressible damping element (a simple air bubble) to reduce intraocular pressure fluctuations induced by a known change in intraocular fluid volume.
Analysis of Hemodynamics During Blood Purification Therapy Using a Newly Developed Noninvasive Continuous Monitoring Method

Abstract: Advancement in blood purification therapy extends not only to consoles and dialyzers, but also to patient management during blood purification therapy. However, no monitor has been devised for hemodynamics during blood purification therapy that is carried out continuously and non‐invasively. By studying the laser Doppler flowmeter (LDF), we have developed a probe that can continuously measure changes in blood flow in tissues of the head and lower extremities during blood purification therapy. By applying the improved LDF, we have developed a non‐invasive continuous monitoring method (NICOMM). Hemodynamics in various types of blood purification therapies were also studied by simultaneously measuring with an automatic oscillometric sphygmomanometer.
Origins and consequences of age at first drink. II. Familial risk and heritability.

BACKGROUND The association of age at first drink (AFD) and alcoholism may reflect a common inherited vulnerability to disinhibitory behavior and psychopathology rather than a direct influence of the former on the latter. We tested the common-inherited-vulnerability hypothesis by determining whether AFD is familial and heritable. METHODS A sample of 1,232 14-year-old twins was classified according to their biological parents' AFD. RESULTS Lifetime symptoms of externalizing disorders (i.e., conduct disorder and oppositional defiant disorder) were significantly higher in the sons but not the daughters of parents whose AFD came before age 15 years. Offspring symptoms of internalizing disorders (i.e., major depressive disorder, separation anxiety disorder, and overanxious disorder) were not significantly associated with parental early use of alcohol in either sons or daughters. Early use of alcohol in mothers but not fathers was associated with a significant increase in both sons' and daughters' risk of alcohol use by age 14. The contribution of genetic and environmental factors to risk of early alcohol use was investigated in a sample of 416 monozygotic (MZ) and 225 like-sex dizygotic (DZ) 14-year-old twin pairs. Twin similarity for early alcohol use was substantially greater in MZ than DZ twins in boys but about equally similar in MZ and DZ twins in girls. Estimated heritability of early alcohol use was significantly greater in boys (55%) than girls (11%), in part because the genetic factors underlying symptoms of disinhibitory psychopathology contributed more to risk of early alcohol use in boys than girls. CONCLUSIONS Early use of alcohol is familial and, at least in males, heritable. The familial transmission of early alcohol use is caused in part by genetic risk for disinhibitory psychopathology in males and to shared environmental factors in girls. These results provide some support for a common-inherited-vulnerability hypothesis, and suggest that the processes underlying early alcohol use may differ in boys and girls.
Resource Failure Impact on Job Execution in Grid

Grid environment, being a collection of heterogeneous and geographically distributed resources, is prone to many kinds of failures such as process failures, resource and network failures. In this paper, we address the problem of resource failure. Resources in grid oscillate between being available and unavailable to the grid. When and how they do so, depends on the failure characteristics of the machines, the policies of resource owners and the scheduling policies. The research work involves implementation of job scheduling in a grid based on pull method for handling resource failure using GridSim simulation toolkit. We also demonstrate how the job execution time varies under different resource failure conditions using different failure patterns.
Big Data‐Savvy Teams’ Skills, Big Data‐Driven Actions and Business Performance

Prior studies on big data analytics have emphasized the importance of specific big data skills and capabilities for organizational success; however, they have largely neglected to investigate the use of cross-functional teams’ skills and its links to the role played by relevant data-driven actions and business performance. Drawing on the resource-based view (RBV) of the firm and on the data collected from big data experts working in global agrifood networks, we examine the links between the use of big data-savvy (BDS) teams’ skills, big data-driven (BDD) actions and business performance. BDS teams depend on multidisciplinary skills (e.g., computing, mathematics, statistics, machine learning, and business domain knowledge) that help them to turn their traditional business operations into modern data-driven insights (e.g., knowing real time price changes and customer preferences), leading to BDD actions that enhance business performance. Our results, raised from structural equation modelling, indicate that BDS teams' skills that produce valuable insights are the key determinants for BDD actions, which ultimately contribute to business performance. We further demonstrate that those organisations that emphasise BDD actions perform better compared to those that do not focus on such applications and relevant insights.
Early-life education may help bolster declarative memory in old age, especially for women

ABSTRACT Although declarative memory declines with age, sex and education might moderate these weaknesses. We investigated effects of sex and education on nonverbal declarative (recognition) memory in 704 older adults (aged 58–98, 0–17 years of education). Items were drawings of real and made-up objects. Age negatively impacted declarative memory, though this age effect was moderated by sex and object-type: it was steeper for males than females, but only for real objects. Education was positively associated with memory, but also interacted with sex and object-type: education benefited women more than men (countering the age effects, especially for women), and remembering real more than made-up objects. The findings suggest that nonverbal memory in older adults is associated negatively with age but positively with education; both effects are modulated by sex, and by whether learning relates to preexisting or new information. The study suggests downstream benefits from education, especially for girls.
Combining Neural Networks and Statistics for Chinese Word Sense Discrimination

The input of network is the key problem for Chinese word sense discrimination utilizing the neural network. This paper presents an input model of neural network that calculates the mutual information between contextual words and ambiguous word by using statistical method and taking the contextual words to certain number beside the ambiguous word according to (-M, +N). The experiment adopts triple-layer BP neural network model and proves how the size of training set and the value of M and N affect the performance of neural network model. The experimental objects are six pseudowords owning three word-senses constructed according to certain principles. Tested accuracy of our approach on a closed-corpus reaches 90.31%, and 89.62% on a open-corpus. The experiment proves that the neural network model has good performance on word sense Discrimination.
Determination of Serotypes of Astroviruses by Reverse Transcription‐Polymerase Chain Reaction and Homologies of the Types by the Sequencing of Japanese Isolates

Human standard astroviruses, serotypes 1 to 7, and 35 Japanese isolates were typed by reverse transcription and polymerase chain reaction (RT‐PCR) with serotype‐specific primers for the first time. The results were identical with those obtained by enzyme immunoassay with serotype‐specific polyclonal antibodies, a method which has already been reported. RT‐PCR with serotype‐specific primers is useful for epidemiological studies of astroviruses where serotype‐specific polyclonal antibodies are not available. Two parts of the capsid region, N terminus and C terminus, were sequenced. Serotypes differed in those regions. The N terminus differed less than the C terminus between serotypes. Both the N terminus and C terminus were similar intraserotypically with the exception of serotype‐4 isolates which could be divided into A and B subgroups on the basis of their C terminus sequences, which were not known previously.
Familiar periventricular nodular heterotopia in a 1year old female child

Heterotopia is defined as a cluster of normal neurons in abnormal locations in the cerebral hemispheres. This neuronal migration disorder occurs during the gestation. Patients with periventricular nodular heterotopias typically demonstrate the clinical triad of localization-related epilepsy, normal intelligence and an isolated form of dyslexia affecting reading fluency. The majority of patients are female. We describe the case of a 1year old female child, with normal psychomotor development with no clinical findings and a family history of Tuberous Sclerosis Complex (TSC). The investigations for TSC was negative, while the Magnetic Resonance Imaging revealed multiple irregular periventricular nodules suggestive for bilateral periventricular nodular heterotopia. The aim of this case presentation is to describe this rare neuronal migration disorder which in some cases mimics TSC.
Large DC gain nonisolated converter based on a new L-C-D step-up switching cell

A new step-up basic switching cell formed by three passive elements and two diodes is proposed. It is inserted in a boost converter in order to obtain a new hybrid PWM nonisolated converter able to provide a large dc gain, as required in electrical grids supplied by solar or fuel cells. A family of converters can be created by inserting the defined switching structure in any step-up converter. Analysis, simulation and experimental data show the superiority of the proposed converter over other hybrid converters with similar complexity and the same voltage ratio: less voltage stresses on the switches.