Miracle-dz/UniFAR-FTUs huggingface dataset:
DMD051623 1170..1173

The constitutive active/androstane receptor (CAR) regulates hepatic drug metabolism by activating genes, such as cytochrome P450, and certain transferases. p38 Mitogen–activated protein kinase (MAPK) is highly activated in human primary hepatocytes but barely in human hepatoma cell lines including HepG2 cells. Liganded-CAR induced CYP2B6 mRNA in human primary hepatocytes far more effectively than in HepG2 cells ectopically expressing CAR. In the present study, we found that activation of p38 MAPK by anisomycin potentiated induction of CYP2B6 mRNA by CAR ligand in HepG2 cells to levels observed in ligandtreated human primary hepatocytes. siRNA knockdown of p38 MAPK abrogated the ability of anisomycin to synergistically induce CYP2B6 mRNA. In addition to CYP2B6, anisomycin cotreatment potentiated an increase in CYP2A7 and CYP2C9 mRNAs but not CYP3A4 or UDP-glucuronosyltransferase 1A1 mRNAs. Thus, activated p38 MAPK is required for liganded-CAR to selectively activate a set of genes that encode drug-metabolizing enzymes. Our present results suggest that CAR-mediated induction of these enzymes cannot be understood by ligand binding alone because the specificity and magnitude of induction are codetermined by a given cell signaling, such as p38 MAPK; both physiologic and pathophysiological states of cell signaling may have a strong impact in hepatic drug-metabolizing capability during
Deployment of a smart telecare system to carry out an intelligent health monitoring at home

Information and Communication Technologies together appropriate reasoning tools can add value to current telecare systems, including smart tele-monitoring solutions to enhance the capability for identifying risk situations at home. Cooperation between Home Area Networks (HAN) and Body Area Networks (BAN) at home can provide smart systems to support effective health solutions for ageing people living alone, improving service quality and security to the users and relatives. This paper details the development of a reasoning platform to monitor situations of the person at home, and react in risk situations that demanding care support of remote careers. The system integrates BAN and HAN with intelligent agents, whose behavior is defined by ontologies and rules. The system manages environmental and user data to proactively detect risk situations, and dynamically adjust its behavior to trigger the adequate problem solve mechanisms. A development methodology was also adapted to sustain knowledge acquisition process from experts in all stages of the development process and to create the reasoning logic adapted to the users in telecare scenario. Thus, the platform is flexible and easily customizable, according hardware conditions and user profile.
HormonalTherapyof HumanEndometrialAdenocarcinomain a Nude Mouse Model 1

The hypothesis that 17/8-estradiol or tamoxifen (TAM) can potentiate clinical response of endometrial cancer treated with progestin was tested in an ovariectomized nude mouse system, using a sex steroid receptor-positive and a receptor-negative human endometrial carcinoma. Animals were divided into three groups: control; 170-estradiol-treated; and TAM-treated. When tumors of a group reached about 1 cm in diameter, subgroups were given either 0.9% NaCI solution (saline) or medroxyprogesterone acetate (MPA). The receptor-negative tumor grew rapidly in all three groups, and several animals were dead before or during progestin treatment. The growth rate of receptor-contain ing carcinoma was significantly increased in TAM-treated mice compared to controls (p < 0.02) but significantly less than that in 17/3-estradiol-treated animals (p < 0.01). Endometrial carci noma in 17^-estradiol-saline-treated animals continued to grow rapidly, and all animals were dead by 11 weeks. The growth of tumors in the 17/8-estradiol-progestin group was suppressed at 11 weeks, and some of these animals lived 20 weeks. Adminis tration of progestin to TAM-exposed animals resulted in a re markable regression of the tumor compared to TAM-salinetreated group. The growth rate of tumors in control animals (no implants) was unaffected by progestin treatment. We conclude that, in this nude mouse model, treatment with TAM and MPA is superior to MPA alone, or 17/3-estradiol plus MPA for sex steroid receptor-positive endometrial carcinoma.
Group-Based Trajectory Modeling to Identify Patterns of Adherence and Its Predictors Among Older Adults on Angiotensin-Converting Enzyme Inhibitors (ACEIs)/Angiotensin Receptor Blockers (ARBs)

Purpose: Commonly prescribed medications among patients with comorbid diabetes mellitus and hypertension include ARBs and ACEIs. However, these medications are associated with suboptimal adherence leading to inadequately controlled blood pressure. Unlike traditional single estimates of proportion of days covered (PDC), group-based trajectory modeling (GBTM) can graphically display the dynamic nature of adherence. The objective of this study was to evaluate adherence using GBTMs among patients prescribed ACEI/ARBs and identify predictors associated with each adherence trajectory. Patients and Methods: Patients with an ACEI/ARBs prescription were identified between July 2017 and December 2017 using a Medicare Advantage dataset. PDC was used to measure monthly patient adherence during the one-year follow-up period. The monthly PDC was added to a logistic group-based trajectory model to provide distinct patterns of adherence. Further, a multinomial logistic regression was conducted to determine predictors of each identified adherence trajectory. Predictors included various socio-demographic and clinical patient characteristics. Results: A total of 22,774 patients were included in the analysis and categorized into 4 distinct adherence trajectories: rapid decline (12.6%); adherent (58.5%); gaps in adherence (12.2%), and gradual decline (16.6%). Significant predictors associated with all lower adherence trajectories included 90 days refill, >2 number of other medications, ≥1 hospitalizations, and prevalent users. Significant predictors associated with the rapid decline trajectory included male sex, comorbidities, and increased CMS risk score. Further, significant predictors associated with the gaps in adherence trajectory included increasing age, and comorbidities. Lastly, significant predictors associated with the gradual decline trajectory included increasing age, no health plan subsidy, comorbidities, and increasing CMS risk score. Conclusion: Identifying various patient characteristics associated with non-adherent trajectories can guide the development of tailored interventions to enhance adherence to ACEI/ARBs.
Analysis, Modeling, and Simulation (AMS) Testbed Development and Evaluation to Support Dynamic Mobility Applications (DMA) and Active Transportation and Demand Management (ATDM) Programs: Dallas Testbed Analysis Plan

The primary objective of this project is to develop multiple simulation Testbeds/transportation models to evaluate the impacts of Dynamic Mobility Applications (DMA) connected vehicle applications and the active and dynamic transportation management (ATDM) strategies. The outputs (modeling results) from this project will help the US Department of Transportation (USDOT) prioritize their investment decisions for DMA and ATDM programs. The primary purpose of this report is to document the Analysis Plan for Analysis, Modeling, and Simulation (AMS) Dallas Testbed. The report expands on detailed testbed description including the geographic location, modes, operational conditions and cluster analysis details. In addition, the plan also provides details on the analysis scenarios, ATDM strategies that are evaluated using the Testbed and the plan to answer ATDM-specific research questions. The analysis plan provides details on the evaluation approach used to answer specific research questions. Additional data used for the testbed development and evaluation are provided in the Appendix.
C-Choline Positron-Emission Tomography

T. Kato J. Shinoda N. Nakayama K. Miwa A. Okumura H. Yano S. Yoshimura T. Maruyama Y. Muragaki T. Iwama BACKGROUND AND PURPOSE: Positron-emission tomography (PET) is a useful tool in oncology. The aim of this study was to assess the metabolic activity of gliomas using C-methionine (MET), [F] fluorodeoxyglucose (FDG), and C-choline (CHO) PET and to explore the correlation between the metabolic activity and histopathologic features.
Using Intelligent Targeting to increase the science return of a Smart Ice Storm Hunting Radar

Smart Ice Cloud Sensing (SMICES) is a small-sat concept in which a radar intelligently targets ice storms based on information collected by a lookahead radiometer. Often space observations are performed by continuously collecting data from an instrument aimed at nadir (e.g. directly below the space platform). However, if the platform has the ability to assess science utility of features being overflown, an intelligent measurement scheme can improve science return. This can be achieved by controlling the on/off state of the instrument if it is not able to continuously operate (e.g. due to energy or thermal constraints), and by allowing the instrument to view off nadir if it has pointing capabilities. In the case of SMICES, power constraints and the rarity of storms means that with blind nadir targeting SMICES would collect a limited amount of ice storm radar data. The algorithms proposed acquire measurements to maximize acquired high interest storms while concurrently collecting a background sampling of all features. We use a cloud classification system to identify five different cloud types. Six algorithms ranging from “blind” to more selective are described and results from evaluation on a dataset of 13 ground swaths covering 72,399,600 km2 of data are presented. This data is from high quality science simulations that contain all five cloud types and multiple storms. When utilizing the radiometer’s lookahead and the full range of the radar the results show a 23.7x and 1.9x increase over the base algorithm in the most and second most important cloud types respectively.
Automatic Recognition of Knowledge Characteristics of Scientific Automatic Recognition of Knowledge Characteristics of Scientific and Technological Literature from the Perspective of Text and Technological Literature from the Perspective of Text Structure Structure

This paper independently explores the chapter structure of scientific and technological literature in the field of shipbuilding in the natural sciences and the field of library and information in the social sciences. The chapter structure model of previous studies, namely 'background, purpose, method, result, conclusion, demonstration,' is quoted as the verification object of the document chapter structure in the field of exploration. In order to verify the rationality of the structure, this paper uses the deep learning models TextCNN, DPCNN, TextRCNN
Frequency-Dependent Phase Transitions in the Coordination of Human Bimanual Tasks

Air Force Office of Scientific Research (90-0128, F49620-92-J-0225, 90-0175); National Science Foundation (IRI-90-24877); Office of Naval Research (N00014-92-J-1309); Defense Advanced Research Projects Agency (AFOSR 90-0083)
Studying Low Frequency Foreground Emission with PSP/FIELDS in Preparation for Upcoming Lunar Radio Observations

Observations N. Bassett1, D. Rapetti1,2,3, J. O. Burns1, B. Page4,5, M. Pulupa5, and S. Bale4,5, 1Center for Astrophysics and Space Astronomy, University of Colorado Boulder, Boulder, CO, 2NASA Ames Research Center, Moffett Field, CA, 3Research Institute for Advanced Computer Science, Universities Space Research Association, Mountain View, CA, 4Department of Physics, University of California Berkeley, Berkeley, CA, 5Space Sciences Laboratory, University of California Berkeley, Berkeley, CA
БІОХІМІЧНІ, Й АНАЛІТИЧНІ АСПЕКТИ

Background. Prostate cancer incidence in the world and in Ukraine is steadily increasing due to the difficulties of early diagnosis and late detection of the disease. For a diagnosis of prostate cancer tests for specific blood markers detection in the human blood serum are used, first of all, tests for prostate-specific antigen (PSA) detection – glycoprotein with enzymatic activity, which is secreted by the cells of the prostate. Detection of PSA has a number of analytical features due to biochemical and serological properties of some PSA forms, which, in turn, results in the continuous improvement of methods for its detection. Objective. Analysis of modern scientific data on the biochemical and molecular biological properties of PSA, as well as methods for its measurement in human biological fluids. Methods. The literature data on the molecular bases of synthesis, biochemical features and the role of PSA in the human body are systematized and analyzed, modern data on methods for PSA measurement are analyzed critically. Results. PSA has peculiarities of the biosynthesis and post-translational modifications, which directly affect its functions in the human body and the activity of the serum marker in prostate cancer diagnostics. Modern methods of analysis allow to deteсt most of the forms of PSA with high sensitivity. The most common methods of clinical laboratory diagnosis are enzyme immunoassay and immunochroma-tography. Conclusions. Analysis of the literature has shown that in the future further studies on the role of PSA for other than the prostate organs of a person will be carried on, as well as the development and improvement of tests for prostate cancer diagnostic and detection of other oncological diseases with the use of PSA, for example, breast cancer, will take place.
Defence transcriptome profi ling of Zingiber zerumbet (L.) Smith by mRNA differential display

Ginger (Zingiber offi cinale Roscoe) is a herbaceous perennial belonging to the tropical monocotyledonous family Zingiberaceae. The thick, scaly, aromatic rhizome (underground stem) of the ginger plant is valued the world over both as a spice and as a medicine. India is the secondlargest producer of ginger in the world, and contributed to one-fi fth (230 000 metric tons) of the world production in 2005 (http://faostat.fao.org/site/291/default.aspx). Soft-rot disease caused by different species of the oomycete Pythium severely affects ginger cultivation in all ginger-producing regions of the world (Lawrence 1984). Once this soil-borne pathogen makes its appearance in a fi eld, it spreads rapidly and kills the entire crop; moreover, the pathogen can survive in the soil for years as oospores. Infection begins at the collar region of the pseudostem of the ginger plant and spreads into the rhizomes, causing the inner tissues to decay, and ends in wilting and complete drying of the plant (Selvan et al 2002). To date, no effective fungicides or biological control methods are available for controlling Pythium species (Folman et al 2003). Ginger is an obligate asexual reproducer, propagated exclusively through rhizomes. Conventional crop improvement methods involving sexual hybridization are therefore ineffective in ginger. Moreover, genetic variation for resistance to soft rot is not present in the ginger germplasm (Dake 1995). Given these impediments, transgenic improvement using a suitable genetic variation from alien resources could be a possible alternative for the genetic improvement of ginger. With that as a goal, we previously screened wild relatives of ginger for resistance to P. aphanidermatum (Edson) Fitzp. , the most prevalent causative agent of soft-rot disease (Selvan et al 2002), and Defence transcriptome profi ling of Zingiber zerumbet (L.) Smith by mRNA differential display
Quality and safety of raw cow's milk produced in Panama

Milk provides essential nutrients and is an importa nt source of dietary energy, high-quality protein, a d fat. It contributes considerably to the necessary intake of nutrients such as calcium, magnesium, selenium, ri boflavin, vitamin B12 and pantothenic acid. The consumption of this food can represent differences in the quality of the diets o f people without access to adequate nutrition, especially among children. The composition of milk varies according to the inciden c of multiple factors such as breed, lactation time, feeding, genetics, climatic condition, health status and stress of the animals, etc. The quality and safety of raw cow's milk can be affected by different reasons, mi croorganisms, chemical residues and other contamina nts, which significantly affects public health. The increase of microorganis ms in milk causes significant losses. Currently, th ere is very little or no publication or reference at the national level that indicates a qu lity characterization of raw cow's milk accordi ng to its physicochemical, or microbiological condition. However, the few existin g studies show conditions that require further stud y and monitoring to consider the general state of the country's dairy herds. Fro m the above, it is clear the need to carry out rese arch, development and innovation (R & D & i) studies, which make it possible to esta blish the quality conditions of the milk produced i n the country and correlate this condition with the internationally established qual ity parameters.
Some exactly solvable PT -invariant potentials with real spectra via the (extended) Nikiforov–Uvarov method

The (extended) Nikiforov–Uvarov method is employed to ﬁnd exact solutions of the Schrödinger operator for three PT -invariant potentials (periodic exponential, cotangent and PT -symmetric harmonic plus centrifugal). It is shown that their corresponding Schrödinger operators can exhibit real energy eigenvalues. The results are compared with similar works but with different methods. The comparisons led to Rodrigues formulas of some functions of interest. The eigenfunctions of these examples are expressed in terms of Hankel functions, Romanovski polynomials and Heun functions. The method is proved to be felicitous and leads to closed energy formulas for the potentials under study.
OTT_A_364566 651..657

Background: Fibroblast growth factor receptor (FGFR) fusions in non-small cell lung cancer (NSCLC) are small genomic events. At present, there is no standard treatment strategy for patients with NSCLC carrying an FGFR fusion. Case Presentation:We report the case of a 45-year-old female patient who was diagnosed with lung adenocarcinoma and underwent right upper lobectomy and postoperative adjuvant chemotherapy. After 13 months, the patient’s lung lesions progressed. Nextgeneration sequencing of venous blood and lung tissues confirmed an FGFR2-ERC1 fusion, and she received chemotherapy and immunotherapy. Two months later, the patient’s lung lesions progressed again. Based on the target effect of anlotinib on FGFR, the patient was subsequently treated with anlotinib, and the progression-free survival interval exceeded 8.0 months. Conclusion: These findings showed that patients with lung adenocarcinoma carrying an FGFR2-ERC1 fusion gene may benefit from anlotinib. This case provided evidence to support the use of anlotinib in the treatment of NSCLC patients with FGFR fusion gene subtypes.
Development to third-stage larvae occurs in the eggs of Anisakis simplex and Pseudotetranova decipiens (Nematoda, Ascaridoidea, Anisakidae)

Two moults occur during larval development in the eggs of Anisakis simplex (Rudolphi, 1809) and Pseudoterranova decipiens (Krabbe, 1878) from the North Atlantic. Live larvae forced out of eggs in sea water by coverslip pressure shortly before spontaneous hatching were surrounded by the thin cuticle of the first-stage larva. Infective larvae from naturally hatched eggs are loosely ensheathed in the thick cuticle of the second-stage larva. Thus, it is the third-stage larva that emerges from the egg of both species and not the second-stage larva as previously believed. The thin, smooth, fragile cuticle of the first-stage larva remains in the egg. The striated, cocoon-like cuticle of the second-stage larva of A. simplex may increase the buoyancy of the third-stage larva. The tail tip of the cuticle of the second-stage larva of P. decipiens is sticky and adheres the sheathed third-stage larva to the substrate.
Chapter 3. Soil Carbon and Permafrost Estimates and Susceptibility to Climate Change in Alaska

• Several soil carbon and permafrost data products in Alaska, either produced for this assessment or available from the literature, were evaluated to synthesize observation-based estimates of distributions of soil organic carbon (SOC), permafrost, and other variables. The synthesis was also compared to simulated estimates by an ecosystem carbon dynamic model called DOS-TEM (Dynamic Organic Soil version of the Terrestrial Ecosystem Model).
A Review of Adult Cyberbullying Research from Multi-disciplinary Archives and Directions for Future Studies

Cyberbullying is a major societal issue that is regrettably on the rise. Previous research on cyberbullying has almost entirely focused on the prevalence of cyberbullying among children or adolescents, and it is unknown how prevalent it is in the general population. This study reviews and synthesizes empirical studies related to adult cyberbullying to learn what we know, how well we know, and what we need to know about cyberbullying among adults. The research has explored that the current literature is fragmented and lacks an overarching framework from a socio-technical perspective to systematically guide future cyberbullying research. Moreover, researchers and practitioners continue to question a universal definition of cyberbullying co-developed with the changes in technology. Overall, the paper provides a more complete picture of cyberbullying continuum among adults, while identifying many opportunities for future researchers.
Research Campaign: Space Networks of Trapped-Ion Optical Clocks for Fundamental Physics

Fermilab is operated by Fermi Research Alliance, LLC under contract No. DE-AC02-07CH11359 with the U.S. Department of Energy. This material is based in part upon work supported by the Under Secretary of Defense for Research and Engineering under Air Force Contract No. FA8702-15-D-0001. Any opinions, findings, conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the Under Secretary of Defense for Research and Engineering or the National Institute of Standards and Technology (NIST).
Unicity distance of the Zodiac-340 cipher

Abstract In December 2020, David Oranchak, Jarl Van Eycke, and Sam Blake solved a 51-year old mystery: the Zodiac cipher of 340 symbols. The correctness of their solution has not been seriously doubted, and here we give a further argument in its favor: the unicity distance of the cipher’s system is at most 153.
Evaluation of the Passive Cooling Strategies for Pei Min Sport Complex

This paper presents a modelling study on the evaluation of the passive cooling strategies for Pei Min sport complex at Miri. The squash centre has experienced excessively high temperature during peak hours that results in complains from the users. We discussed several passive cooling mechanisms and proposed four strategies for the sport centre. Thermal energy simulations were performed on these strategies using OpenStudio to evaluate their impact on the hourly temperature profile within the building. It was found that the peak temperature during the noon was significantly reduced when conductive material was applied at the lower surface of the roof, and the top of the roof was coated with white paint. However, insulating the roof also leads to weaker heat dispersion from the building which lower the rate of temperature drop in the late afternoon. Partitioning the roof was found to have similar effect as insulating roof. Air infiltration is essential for promoting air movement and regulating the temperature within the building. It was found the complex already have sufficient opening for the full effect of air infiltration.