Miracle-dz/UniFAR-FTUs huggingface dataset:
Antigen Peptide Transporter 1 (TAP1) Promotes Resistance to MEK Inhibitors in Pancreatic Cancers

Mitogen-activated protein kinase (MAPK) kinase (MEK) inhibitors show limited benefit in Kirsten rat sarcoma (KRAS) mutant pancreatic cancer due to drug resistance. To identify mechanisms of resistance to MEK inhibitor (MEKi), we employed a differential expression analysis of MEKi-sensitive versus MEKi-resistant KRAS-mutant pancreatic cancer cell lines. Here, we report that the antigen peptide transporter 1 (TAP1) expression levels of MEKi-resistant cell lines were notably higher than those of MEKi-sensitive cell lines. Suppression of TAP1 significantly sensitized the MEKi-resistant pancreatic ductal adenocarcinoma (PDAC) cells to MEKi and induced higher apoptotic rate in vitro. Moreover, knockdown of TAP1 in MEKi-resistant tumor significantly decreased tumor growth in vivo. Consistently, overexpression of TAP1 in sensitive PDAC cells resulted in increased resistance to MEKi, both in vitro and in vivo. Mechanistic studies demonstrated that TAP1 promoted chemoresistance by enhancing the transport of MEKi out of PDAC cells, leading to reduced intracellular MEKi concentration and attenuated inhibition of KRAS signaling pathways. Moreover, TAP1 expression increased spheroid formation abilities of PDAC cells. These findings suggest that TAP1 could serve as a potential marker for predicting the response of patients to MEKi. Combination of TAP1 suppression and MEKi may provide a novel therapeutic strategy for PDAC treatment.
Effectiveness of Flourishing Training on Depression and Anxiety of Female Gifted Students

Background: This study aims to examine the effectiveness of flourishing training based on positive psychology on the anxiety and depression of female gifted students. Methods: This is a quasi-experimental study using a pre-test/post-test design a control group. Participants were 50 female gifted students in Torbat-e Heydariyeh, Iran. They were randomly divided into two groups of training (n=25) and control (n=25). For the training group, flourishing training was presented at 14 sessions of 60 minutes, while the control group did not receive any education. The 21-item Depression, Anxiety, and Stress Scale was used for collecting data. Data were analyzed in SPSS v 26 software using ANCOVA. Results: The results showed that the effect of flourishing training on anxiety (F=206.1, P<0.001) and depression (F=42.96, P<0.001) was significant. Flourishing training reduced anxiety and depression in the training group compared to the control group. Conclusion: Flourishing training based on positive psychology can be effective in reducing anxiety and depression in female gifted students.
Free interstitial levels of metformin in the liver of healthy and diabetic Wistar rats

In the present study, free interstitial levels reached by metformin in the liver were investigated in control and diabetic rats by microdialysis. Firstly, a bioanalytical method using an HPLC-UV system to determine the drug concentration in microdialysis samples was validated. The blood glucose levels and biochemical parameters were investigated in control and diabetic animals. Following that, both groups received a dose of 50 mg/kg of metformin iv bolus and the free interstitial levels reached in the liver were assessed by microdialysis. The method was validated according to FDA guidelines being suitable to quantify free concentrations of metformin in the liver of control and diabetics rats. Free exposure to metformin was similar in control and diabetic animals: AUC 0-∞ 118.50 ± 40.18 vs 112.93 ± 50.25 µg. h/mL, respectively. The half-life in tissue was similar to that described in the literature for plasma. Hence diabetes induced by streptozotocin after administration of nicotinamide in our study did not damage the renal and hepatic function of the animals. The levels reached in the liver were 1.6 times higher than the free plasma concentrations, demonstrating higher liver penetration of metformin. This is the first investigation in liver interstitial concentration of metformin in control and diabetic rats.
Conservation and successful utilization of landraces for rice improvement

Germplasm is the basis of all plant improvement programmes. The collected landraces of rice possessed high probability of the useful genes for efficient application in the breeding programmes to develop high yielding varieties with quality and resistance to biotic and abiotic stresses. Those landraces needs to be conserved ex situ or in situ. In the rice repository of Uttar Banga Krishi Viswavidyalaya, Pundibari has about 200 landraces collected from West Bengal, Assam and Manipur. Every Kharif season, they are being cultivated and seeds are collected to conserve since 2008. High variability has been observed among those varieties. Some special characteristics also have been identified during characterization and ex situ conservation of those landraces, such as, long and white sterile lemma, double and triple kernelled spikelets. Important landraces were used as donor in rice improvement. A number of desirable mutants, recombinant lines and somaclones have been have been developed which are in different yield trials. Some pure lines also have been isolated from the collected famers’ varieties.
Dispositional causes of burnout, satisfaction, and performance through the fear of COVID‐19 during times of pandemic

Abstract Rooted in research into personality, we propose that the Big Five traits would be related to fear of COVID‐19 (FOC), which in turn would lead to heightened job burnout, reduced job satisfaction, and decreased performance. Utilizing a three‐wave time‐lagged design, we collected our data from employees working in the United States and Canada (N = 300 × 3). We found good support for our hypotheses. Extraversion, neuroticism, and conscientiousness had significant direct effects on FOC. Fear of COVID‐19 was positively related to job burnout and negatively related to job satisfaction and performance. Extraversion, neuroticism, and conscientiousness had significant indirect effects on burnout, job satisfaction, and job performance via FOC. Hence, this study identifies a key mechanism, an individual's worry about losing their valuable resources (e.g. their health, and that of their family members and friends, etc.), through which selected dimensions of personality might affect employees' work outcomes. We discuss our findings and provide suggestions for future research in this domain.
A Literature Analysis of Consumer Privacy Protection in Augmented Reality Applications in Creative and Cultural Industries: A Text Mining Study

Digital reality technologies (such as AR, VR, and MR) have recently become a key component of promoting creative and cultural industries (CCIs) worldwide to transform static cultural heritage exhibits into more engaging, entertaining, and immersive experiences. These technologies present an exciting example of studying how consumers would respond to the potential invasion of privacy due to these technologies. This literature review study mainly focuses on one essential branch of CCIs: museums and their applications of digital reality technologies. Because many of these location-based AR applications by museums are inherently sensitive to users’ locational information, there is also a rising concern of the potential infringement of personal privacy (RQ1). A thorough examination of existing literature on how consumers respond to privacy concerns related to the museum’s AR applications will help uncover how scholars have approached and studied these crucial issues in the literature (RQ2). Unlike traditional literature review analyses, we employed a text mining of retrieved 715 studies articles from Business Source Complete and Engineering Village (E.I.) databases to answer our two research questions. Our study found that privacy and user(s) /visitor(s) has dramatically increased since 2017, echoing the rising concerns of other privacy-invasive technologies. Most notably, key phrases extracted from the literature corpus include “security and privacy,” “privacy and security,” “privacy risks,” “privacy concerns,” “privacy issues,” “user privacy,” “location privacy,” “privacy protection,” and “privacy preserving” that are most pertinent to the rapid implementation of AR technology in the museum sector. Discussions and implications are provided.
Genomic Markers of CDK 4/6 Inhibitor Resistance in Hormone Receptor Positive Metastatic Breast Cancer

Simple Summary The mechanisms of intrinsic and acquired resistance to CDK4/6 inhibitors are poorly understood. Patients with HR+ MBC treated with CDK4/6i and antiestrogen therapy were grouped into early (<6 months), intermediate (6–24 months for 0–1 lines; 6–9 months for ≥2 lines), or late progressors (>24 months for 0–1 lines; >9 months PFS for ≥2 lines). Among the 109 patients who received CDK4/6i as 1st- or 2nd-line therapy, 17 genes showed association with PFS (p-value < 0.15 and HR ≥ 1.5 or HR < 0.5). RNAseq was analyzed for 24/109 (22%) patients with 0–1 prior lines of therapy and 56 genes associated with PFS (HR ≥ 4 or HR ≤ 0.25 and FDR ≤ 0.15). Genomic biomarkers including FGFR1 amplification, PTEN loss, and DNA repair pathway gene mutations showed significant associations with shorter PFS for patients receiving CDK4/6 inhibitor therapy. Abstract Cyclin-dependent kinase 4/6 inhibitors are the standard of care for hormone receptor-positive metastatic breast cancer. This retrospective study reports on genomic biomarkers of CDK 4/6i resistance utilizing genomic data acquired through routine clinical practice. Patients with HR+ MBC treated with palbociclib, ribociclib, or abemaciclib and antiestrogen therapy were identified. Patients were grouped into early (<6 months); intermediate (6–24 months for 0–1 lines; 6–9 months for ≥2 lines); or late progressors (>24 months for 0–1 lines; >9 months PFS for ≥2 lines). NGS and RNA sequencing data were analyzed in association with PFS, and survival analysis was stratified by prior lines of chemotherapy. A total of 795 patients with HR+ MBC treated with CDK 4/6i were identified. Of these, 144 (18%) patients had genomic data and 29 (3.6%) had RNA data. Among the 109 patients who received CDK4/6i as 1st- or 2nd-line therapy, 17 genes showed associations with PFS (p-value ≤ 0.15 and HR ≥ 1.5 or HR < 0.5). Whole transcriptome RNAseq was analyzed for 24/109 (22%) patients with 0–1 prior lines of therapy and 56 genes associated with PFS (HR ≥ 4 or HR ≤ 0.25 and FDR ≤ 0.15). In this retrospective analysis, genomic biomarkers including FGFR1 amplification, PTEN loss, and DNA repair pathway gene mutations showed significant associations with shorter PFS for patients receiving CDK4/6 inhibitor therapy.
Statement on the suitability of the BEEHAVE model for its potential use in a regulatory context and for the risk assessment of multiple stressors in honeybees at the landscape level

The Panel has interpreted the Terms of Reference by carrying out a stepwise evaluation of the BEEHAVE simulation model with a view to assessing its suitability for use in a regulatory context and for risk assessment of multiple stressors at the landscape level. The EFSA opinion on good modelling practice was used to evaluate the model and its documentation systematically. The overall conclusion is that BEEHAVE performs well in modelling honeybee colony dynamics, and the supporting documentation is generally good but does not fully meet the criteria of the good modelling opinion. BEEHAVE is not yet usable in a regulatory context primarily because it needs a pesticide module. BEEHAVE has a Varroa/virus module, although this seems to underestimate the impact of Varroa/virus on colony survival, and additional stressors (chemical and biological) would need to be added to allow investigation of the effects of interactions of pesticides with multiple stressors. BEEHAVE currently uses a very simple representation of a landscape and this should be extended. There is only one environmental scenario in the present version of BEEHAVE (European central zone—weather scenarios for Germany and the UK) and extension to other European zones would be needed. The supporting data and default parameter values should be further evaluated and justified. The modelling environment used by BEEHAVE (NetLogo) has an excellent user interface but provides limited opportunities for extending the model. The Panel recommends that BEEHAVE should be adopted as the basis for modelling the impact on honeybee colonies of pesticides and other stressors, but that further development should use a standard, object-oriented language rather than NetLogo.
Spatial Interpolation Techniques to Map Rainfall in Southeast Brazil

Abstract The prediction, as well as the estimation of precipitation, is one of the challenges of the scientific community in the world, due to the high spatial and seasonal variability of this meteorological element. For this purpose, methodologies that allow the accurate interpolation of these elements have fundamental importance. Thus, we seek to evaluate the efficiency of the interpolation methods in the mapping of rainfall and compare it with multiple linear regression in tropical regions. The interpolation methods studied were inverse distance weighted (IDW) and Kriging. Monthly meteorological data rainfall from 1961 to 1990 was obtained from 1505 rainfall stations in the Southeast region of Brazil, provided by the National Institute of Meteorology. The comparison between the interpolated data and the real precipitation data of the surface meteorological stations was performed through the following analyzes: accuracy, presicion and tendency. The mean PYEAR, for summer, autumn, winter, and spring are 596 mm seasons−1 (s= ±118 mm), 254 mm seasons−1 (s= ±52 mm), 114 mm seasons−1 (s= ±54 mm) and 393 (s= ± 58 mm) mm seasons−1, respectively. The Kriging highlight accuracy slightly high in relation to IDW. Since the MAPEKRIGING was of 2% while the MAPEIDW was of 3%. The IDW and Kriging methods were accurate and, with low trends in precipitation estimation. While multiple linear regression showed low accuracy when compared with interpolation methods. Despite the lower accuracy the regression linear is more practical and easy to use, as it estimates the rain with only altitude, latitude and longitude, input variables that commonly known input variables. The largest errors in estimating the spatial distribution of precipitation occurred in Winter for all interpolation methods.
Gender Differences and the Influence of Body Composition on Land and Pool-Based Assessments of Anaerobic Power and Capacity

Consistent differences between males and females have been shown in land-based measurements of anaerobic power and capacity. However, these differences have not been investigated for a tethered 30-s maximal swimming test (TST). The purpose of this study is to explore gender differences in land and pool-based assessments of anaerobic power (Fpeak) and capacity (Fmean), as well as the influence of body composition. Thirteen males and fifteen females completed land (Wingate (WAnT)) and pool-based (TST) measures of anaerobic power and capacity previously described in the literature. Additionally, the subjects completed assessments of body composition via air displacement plethysmography. The males produced higher force than the females for Fpeak (p < 0.001) and Fmean (p = 0.008) during the TST. However, linear regression analysis determined that lean mass significantly predicted Fpeak (p = 0.002) and Fmean (p < 0.001) during the TST, while gender was no longer significant (p = 0.694 and p = 0.136, respectively). In conclusion, increases in anaerobic power and capacity (Fpeak and Fmean) may be a function of increased lean mass in males and females, warranting future research on the impact of resistance training programs on force production and swimming performance.
Effects of a Long-Term Monitored Exercise Program on Aerobic Fitness in a Small Group of Children with Cystic Fibrosis

Background: The aim of this study was to investigate the effects of a monitored exercise program on aerobic fitness in children with cystic fibrosis (CF). Methods: Six children (2f/4m) with ages ranging from 6 to 14 years (11.3 ± 3.3 years.) and a mean ppFEV1 102.5 ± 13.5% pred. participated in the partially monitored 12-month exercise program. VO2peak and Wpeak were used as parameters of aerobic fitness. Incremental Cardio-Pulmonary Exercise Tests (CPETs) were performed before the program began (T1), after 6 months (T3) of monitoring, and after a further 6 months (T4) without monitoring. Habitual physical activity (HPA) was assessed with accelerometry. Results: The values of VO2peak and Wpeak improved slightly from T1 to T3 (p > 0.05), without a further increase after monitoring was stopped (T4). However, the VO2peak and Wpeak values were higher after monitoring was stopped compared to at T1. The exercise program with and without monitoring (p > 0.05) had no or only a slight effect on the FEV1 values, steps/day, and the intensity of HPA. Conclusions: Monitoring seems to facilitate the achievement of beneficial effects on physical fitness in CF children. For that reason, continuous individual exercise monitoring programs that involve close contact with an exercise therapist should be provided to maintain long-term motivation and participation in physical activities and sport activities during leisure time.
Design and Optimization of Solar Panel Based on Sun Detector

Many factors cause people to be reluctant to apply solar panel technology as a source of renewable electrical energy, one of which is the efficiency level of solar panels which is still very low because the position of solar panels is generally facing in one direction. In this study, we designed a tool that can automatically drive the solar panel motor according to the comparison value obtained from the LDR sensor. There are four LDR sensors for comparison that are used as a reference tool to move towards the brightest light intensity. From this solar panel, the power will be stored in the battery which at the same time drives the motor so that the rays obtained are more optimal and faster for charging the battery. From the results of the research conducted, the energy efficiency in a day is 9 percent from normal conditions without using optimization. It is hoped that this tool can help the community to use alternative renewable energy sources that are more effective and efficient.
Predictive control of power converters and electrical drives

The book starts with an introduction to the subject before the first chapter on classical control methods for power converters and drives. This covers classical converter control methods and classical electrical drives control methods. The next chapter on Model predictive control first looks at predictive control methods for power converters and drives and presents the basic principles of MPC. It then looks at MPC for power electronics and drives. The third chapter is on predictive control applied to power converters. It discusses: control of a three-phase inverter; control of a neutral point clamped inverter; control of an active front end rectifier, and; control of a matrix converter. In the middle of the book there is Chapter four Predictive control applied to motor drives. This section analyses predictive torque control of industrial machines and predictive control of permanent magnet synchronous motors. Design and implementation issues of model predictive control is the subject of the final chapter. The following topics are described in detail: cost function selection; weighting factors design; delay compensation; effect of model errors, and prediction of future references. While there are hundreds of books teaching control of electrical energy using pulse width modulation, this will be the very first book published in this new topic.
ANTIMICROBIAL STUDY AND SYNTHESIS OF MIXED LIGAND COMPLEX OF Ni(II) ION DERIVED FROM ISATIN SCHIFF BASE AND HISTIDINE

Recently, heterocyclic compounds and amino acids are of great interest to researchers owing to their various biological activities like; antimicrobial, anticancer, antiviral, anti-inflammatory, etc. Isatin is also a vital moiety containing N and O donor heteroatoms, and its Schiff base is used for complexation with metal ions which may alter their activities. The new metal complex of Ni has been synthesized using two ligands, 3-(2-phenylhydrazono) indolin-2-one (PHI) (L1) and amino acid Histidine (L2). The newly prepared ligand and the complex are further characterized by determination of molecular weight, element analysis, magnetic moment measurement, UV- visible, 1H NMR, and FTIR spectroscopy. The prepared compounds are examined for antimicrobial evaluation against several strains of bacteria and fungi.
Integrated Analysis of the Alterations in Gut Microbiota and Metabolites of Mice Induced After Long-Term Intervention With Different Antibiotics

Objectives We aimed to study the effect of antibiotic-induced disruption of gut microbiome on host metabolomes and inflammatory responses after long-term use of antibiotics. Methods A total of three groups of 3-week-old female C57BL/6 mice (n = 44) were continuously treated with vancomycin (VAN), polymyxin B (PMB), or water, respectively, for up to 28 weeks. Fecal samples collected at different time points were analyzed by bacterial 16S rRNA gene sequencing and untargeted metabolomics by ultraperformance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (UPLC Q-TOF MS). Serum cytokines (IFN-γ, IL-2, IL-10, IL-13, IL-17A, and TNF-α) were determined by multiplex immunoassay. Results Treatment by VAN or PMB did not affect the average body weight of mice. However, a heavier caecum observed in VAN-treated mice. Compared with PMB-treated and control mice, VAN treatment induced more rapid dysbiosis of gut microbiota and dysmetabolism. Instead of Bacteroides, VAN-treated mice had a compositional shift to Proteobacteria and its species Escherichia coli and Verrucomicrobia and its species Akkermansia muciniphila. The shift was accompanied by decreased richness and diversity in microbiota. PMB-treated mice had an increased Firmicutes, and the diversity was shortly increased and further decreased to the baseline. Decreased levels of short-chain and long-chain fatty acids, bile acids, L-arginine, dopamine, L-tyrosine, and phosphatidylcholine (all p < 0.05) were observed in VAN-treated mice. In contrast, significantly increased levels of amino acids including L-aspartic acid, beta-alanine, 5-hydroxy-L-tryptophan, L-glutamic acid, and lysophosphatidylcholines (all p < 0.05) were found. These changes occurred after 3-week treatment and remained unchanged up to 28 weeks. For PMB-treated mice, metabolites involved in the metabolic pathway of vitamin B6 were decreased, whereas glycocholic acid and chenodeoxycholic acid were increased (all p < 0.05). After 8-week treatment, VAN-treated mice had significantly higher levels of serum IFN-γ, IL-13, and IL-17A, and PMB-treated mice had higher levels of IL-13 and IL-17 compared to control mice. At 28-week treatment, only IL-17A remained high in PMB-treated mice. Conclusion This study showed that the antibiotic-induced alterations in gut microbiota contribute to host inflammatory responses through the change in metabolic status, which are likely related to the type, rather than timing of antibiotic used.
Environmental pressures and pro-government militias: Evidence from the Philippines

This study analyzes whether climate disasters and climate-induced food scarcities influence individuals’ willingness to fight for the state in a pro-government militia in the Philippines. We find that experiencing a disaster or subsistence loss corresponds to an increased willingness to join, even when accounting for other prominent explanations in the literature. This outcome, we argue, reflects the impact of climate change on the opportunity costs of conflict participation, especially in regions dependent on agriculture for income and food production, as diminished livelihood opportunities and subsistence resource access increase the viability of conflict participation as a strategy for livelihood diversification.