Prior Experiment Research Articles

Glucose mediates upregulation of Cck expression independent of cAMP signaling

Cholecystokinin (CCK) is a gut peptide hormone that is also produced by pancreatic β‐cells under conditions of metabolic stress and obesity. Treatment with exogenous CCK can alleviate obesity‐related diabetes in animal models without significant side effects. We have established that CCK is expressed primarily in the pancreatic β‐cell and that CCK is highly upregulated in ob/ob mice. We have also shown that elevated cellular cAMP stimulates β‐cell CCK expression and secretion. However, the specific islet cell types that express CCK and the regulation of Cck transcription in the islet has not been thoroughly explored. A more recent study from our lab showed that high glucose concentrations can upregulate Cck expression in mouse islets and human islets. We hypothesize that Cck expression is upregulated in response to various diabetogenic conditions and that CCK upregulation by glucose can occur independent of cAMP activation.Islets from 16‐week‐old C57BL/6J mice were harvested for use in a dose‐dependent 24‐hour study using different glucose concentrations: No glucose, 2.5mM, 7mM, 11mM & 25mM. After 24‐hour treatment, islets were collected for RNA isolation and cDNA synthesis to identify changes in Cck mRNA expression after incubation with different glucose concentrations. Cck mRNA levels were elevated 4‐8 fold in islets treated with 25 mM glucose compared to islets treated with 0 to 11mM glucose. Notably, the hypoglycemic treatment of no glucose and 2.5mM showed a 4‐fold increase when compared to the 7mM and 11mM treatments. Following this experiment, we wanted to determine if high glucose would still increase Cck mRNA expression after inhibiting cAMP. Islets were pre‐incubated for 45 minutes with 10nM sulprostone, which activated prostaglandin E3 (EP3) receptor and inhibits adenylate cyclase. After inhibition of cAMP, we incubated the islets at 2.5mM and 25mM glucose concentrations like the prior experiment and observed changes in Cck mRNA expression. After treatment with sulprostone, we are still able to see a significant increase in Cck mRNA expression in islets treated with 25mM glucose compared to those treated with 2.5mM glucose, even with cAMP inhibition.This data suggests that there are alternative pathways that could lead to CCK upregulation in the pancreatic islet independent of cAMP. It also shows that hypoglycemia may also increase Cckexpression, which suggests that CCK is upregulated in response to several forms of metabolic stress. We can further explore the effectiveness of glucose to increase CCK expression by treating islets with cycloheximide and deoxyglucose to determine if glucose metabolism is required for upregulation of Cck.This information will help with our general understanding of how CCK functions in pancreatic islet and how Cck transcription is regulated through signaling pathways and transcriptional networks that regulate β‐cell function and identity under diabetogenic conditions.

Perception of Emergent Leaders' Faces and Evolution of Social Cheating: Cross-Cultural Experiments.

The aim of the present study was to investigate whether neutral faces of individuals with different propensities for leadership may convey information about their personal qualities, and are there impacts of sex, population and social environment on the facial perception. This study is based on a previous experiment ( Rostovtseva et al., 2022), where emergent leadership in the context of male group cooperation was investigated in Buryats (Mongolian population of Siberia). In the previous study three behavioural types of participants were revealed: non-leaders, prosocial leaders and leaders-cheaters, each having a set of distinguishing personality, communicative, and cooperative features. In the current study, three composite portraits representing different leadership qualities of Buryat men from the prior experiment were created. The composites were then scored on a number of traits by male and female Russian and Buryat independent raters (N = 435). The results revealed that ratings on masculinity, physical strength, dominance, competitiveness, and perceived leadership were positively correlated, while perceived trustworthiness was negatively associated with these traits. However, the composite portraits of actual leaders generally were scored as more trustworthy, masculine, and physically strong, with the prosocial leaders' portrait being perceived as healthier than others. Surprisingly, the composite of leaders-cheaters was scored as the most trustworthy and generous, and the least competitive than others. No significant effects of raters' sex, origin, or degree of familiarity with Mongolian appearance were revealed. We conclude that static facial morphology contributes to appearing trustworthy, which may allow exploitation of others.

Flow and sediment transport in a sharp river bend using a 3D-RANS model

Flow dynamics and sediment transport in a river bend have recently been studied using experimental and numerical investigations. A three-dimensional numerical modeling model named NaysCUBE was used in this study to describe the flow pattern and process of sediment transport in a sharp river bend as a complement to the prior work of the physical hydraulic model. The model uses the RANS equation to simulate flow where a fully complex 3D flow is governed. Despite the limitations of the RANS model, NaysCUBE well reproduces the flow pattern and turbulence phenomena in a movable bed channel with sharp curvature. Compared with data from a prior experiment, the morphological adjustment is simulated sufficiently. The three-dimensional flow structures are useful for determining the appropriate countermeasures for local scouring and riverbank protection.

Three New Phthalide Glycosides from the Rhizomes of Cnidium officinale and Their Recovery Effect on Damaged Otic Hair Cells in Zebrafish.

The extract from Cnidium officinale rhizomes was shown in a prior experiment to markedly recover otic hair cells in zebrafish damaged by neomycin. The current study was brought about to identify the principal metabolite. Column chromatography using octadecyl SiO2 and SiO2 was performed to isolate the major metabolites from the active fraction. The chemical structures were resolved on the basis of spectroscopic data, including NMR, IR, MS, and circular dichroism (CD) data. The isolated phthalide glycosides were assessed for their recovery effect on damaged otic hair cells in neomycin-treated zebrafish. Three new phthalide glycosides were isolated, and their chemical structures, including stereochemical characteristics, were determined. Two glycosides (0.1 μM) showed a recovery effect (p < 0.01) on otic hair cells in zebrafish affected by neomycin ototoxicity. Repeated column chromatography led to the isolation of three new phthalide glycosides, named ligusticosides C (1), D (2), and E (3). Ligusticoside C and ligusticoside E recovered damaged otic hair cells in zebrafish.

Tangible information and charitable giving: When do nonprofit overhead costs matter?

Nonprofit organizations in the U.S. have been under the pressure to demonstrate their “worthiness” by minimizing overhead costs. Prior experiment studies find that donors respond negatively to high overhead costs when overhead information is highlighted. In reality, donors receive all sorts of information about nonprofit organizations from various channels. While high overhead has been found to reduce donors’ perceived impact and donations, providing other types of tangible information can increase charitable giving by enhancing donors’ perceived impact. When other types of information are available, to what degree overhead aversion still exists? We use two online survey experiments to examine how information on overhead costs and donation use affect giving decisions in a single-organization and two-organization evaluation setting. We found that only a small proportion of people demonstrated overhead aversion when presented with a single organization. There was stronger evidence of overhead aversion when participants were asked to compare and choose between two organizations. Nonetheless, providing tangible information about what donations can buy mitigated overhead aversion in both settings. This study contributes to the growing experimental research on the relationship between overhead ratios and charitable giving, and provides practical insights for nonprofits hoping to ameliorate overhead aversion and increase donation support.

Asymmetric Sawtooth Microstructure-Induced Vapor Mobility for Suppressed Buoyancy Conditions: Terrestrial Experiment and Design for ISS Experiments

The lack of buoyancy forces in microgravity stagnates vapor bubbles on heated electronic surfaces, raising local surface temperatures above device operating limits. Though flow boiling can help dissipate higher heat fluxes, the addition of pumps and regulated flow loops increases design complexity for electronic systems. Passive directional motion of the fluid using an asymmetric sawtooth microstructure has demonstrated motion along the surface due to viscous forces. The current study explores the sawtooth microstructure in the nucleate boiling regime for a horizontal upward- and downward-facing orientation with varying sawtooth profiles (60°–30° and 75°–15°) in terrestrial gravity conditions as a precursor to the International Space Station (ISS) experiments. A laser powder bed fusion metal additive manufacturing technique was used to fabricate the test surfaces with 250- $\mu \text{m}$ nucleation sites located on the long slopes. For the test surface with cavities spaced 2-mm apart, the wall superheat was ~4 K lower compared to cavities spaced 1 mm apart in the upward-facing orientation. The downward-facing surface induced passive vapor mobility in the direction of the long slope, and a thin liquid film was observed between the vapor mass and microstructure. This liquid film thickness was predicted using a simplified force balance model modified from a prior parabolic flight experiment. The model predicted a uniform liquid film thickness of $49~\mu \text{m}$ for a vapor slug moving at 13.7 mm/s with the input heat flux at 1.25 W/cm2. These terrestrial tests in the adverse orientation suggest that the sawtooth microstructure will successfully induce vapor mobility in upcoming ISS microgravity experiments. Elements of the final flight ampoule, including the cooling zone, the two-stage pressure relief system, and the high-speed imagery setup, are discussed.

Azolla leaf meal at 5% of the diet improves growth performance, intestinal morphology and p70S6K1 activation, and affects cecal microbiota in broiler chicken

With growing concern about including unconventional dietary protein sources in poultry diets to substitute the protein sources that are essential for human consumption such as soybean meal, Azolla leaf meal (ALM) has grown in popularity. In our prior experiment, ALM was used at inclusion rates of 5 and 10%. Five per cent inclusion of ALM increased broiler chicken growth performance, the concentration of cecal propionic acid, and activation of skeletal muscle p70S6 Kinase1 (p70S6K1) without having detrimental effects on the meat quality. Those results prompted us to further evaluate the effect of the same inclusion rates of ALM on phase feeding and intestine and liver health of the broiler chicks. The current study hypothesis is that dietary ALM positively affects phase feeding, intestinal morphology and p70S6K1 activation, cecal microbial gene expression, and improves the liver energy status. For this, we enrolled 135 one-day-old broiler chicks and collected growth performance data (starter, grower, and finisher stages) and samples of the gastrointestinal tract to analyse the morphology of the villi, immune-related organs, mucin, and abundance of intestinal p70S6K1. Cecal bacterial species were analysed using qPCR and liver samples were collected to analyse adenosine monophosphate (AMP) and ATP content and selected oxidative stress biomarkers. ALM increased BW and feed intake during the starter and grower phases but did not affect the feed conversion ratio. Liver oxidative stress and AMP: ATP ratio increased in chickens fed on a diet containing 10% ALM (AZ10; P < 0.05). Jejunum villi length and abundance of duodenal neutral mucin increased but villi of the ileum decreased in chickens fed on a diet containing 5% ALM (AZ5), while lymphoid follicle areas of the cecal tonsils decreased with both doses of ALM. Activation of p70S6K1 increased with AZ10 in the duodenum and AZ5 in the jejunum. In the gut, the family of Enterobacteriaceae decreased with both ALM doses. In conclusion, our results indicate an overall positive effect of dietary inclusion of ALM in the broiler chicken diet via its positive effect on intestinal morphology and function; however, a negative effect on the liver was observed with 10% ALM.

Hybrid Mean Fuzzy Approach for Attention Detection

Statistics around the world showed that attention deficit significantly leads to road accidents. Hence, the growth of studies on attention deficit detection becoming more important. The studies obtained the waveform from electroencephalography (EEG) to identify the characteristic of attention. However, each individual has own unique characteristics to significantly shown the attention deficit. Thus, this research aim is to use the fuzzy approach to minimize the variability gap of the EEG signal between each individual. The research conducted the prior experiment to develop control parameter for training set of fuzzy by using two distinct stimulations to create two groups of attention sample i.e., attentive and inattentive. An approach of novel Hybrid Mean Fuzzy (HMF) was proposed in this research to detect attention deficit in EEG signal. It is the combination of simple averaging (Mean) and Fuzzy approaches for EEG analysis and classification. The results of using this method shows a significantly change in EEG signal which correlates to the attention detection. An Attention Degradation Scale (ADS) is successfully developed as the threshold value of EEG for attention detection. Therefore, the findings in this research can be a promising foundation on attention deficit detection in large application not only for reducing the road accidents.

The Effectiveness of Microbubble Technology in The Quality Improvement of Raw Water Sample

An experimental study to observe the performance of microbubble generator (MBG) and microbubble-generating nozzle on water is carried out under laboratory conditions. The MBG is used to treat wastewater from water bodies which was impacted by domestic and industrial wastewater. The study uses MBG with a spherical body and a drilled hole, along with a dispersing nozzle placed at the bottom of microbubble reactor tank. The MBG used is considered to be more applicable for water bodies rather than other types. Two types of pressure gauges are installed around the MBG and the nozzle in order to examine and configure the inlet water pressure and the inlet gas pressure based on the best microbubble size produced from a prior experiment. Biological Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Dissolved Oxygen (DO), Total Suspended Solids (TSS), and Turbidity has been analyzed in the beginning and every 10 minutes of a 60 minute detention time to examine the effectiveness of MBG. The results of study shows the MBG have a high rate of removal percentage in a 60-minute retention time with 60 to 90% for TSS, up to 90% for Turbidity, 74 to 96% for BOD, and 41 to 59% for COD.

The Evaluation of the Corrosion Rates of Alloys Applied to the Heating Tower Heat Pump (HTHP) by Machine Learning

The corrosion rate is an important indicator describing the degree of metal corrosion, and quantitative analysis of the corrosion rate is of great significance. In the present work, the support vector machine (SVM) and the artificial neural network (ANN) integrating the k-fold split method and the root-mean-square prop (RMSProp) optimizer are used to evaluate the corrosion rates of alloys, i.e., copper H65, aluminum 3003, and 20# steel, applied to the heating tower heat pump (HTHP) in various anti-freezing solutions at different corrosion times, flow velocities, and temperatures. The mean-square error (MSE) versus the epoch of the ANN model shows that the result breaks the local minimum and is at or close to the global minimum. Comparisons of the SVM-/ANN-evaluated corrosion rates and the measured ones show good agreements, demonstrating the good reliability of the obtained SVM and ANN models. Moreover, the ANN model is recommended since it performs better than the SVM model according to the obtained R2 value. The present work can be further applied to predicting the corrosion rate without any prior experiment for improving the service life of the HTHP.

Intra‐seasonal rainfall variability and herbivory affect the interaction outcome of two dryland plant species

AbstractIncreases in drought frequency in combination with overgrazing may result in degradation of (semi‐) arid ecosystems. Facilitative interactions between plants are a key mechanism in preventing degradation, but it is poorly understood how they respond to increased stress by combined drought and herbivory. In this study, we used an ecohydrological model, to simulate the plant growth of two plant species interacting with each other under different rainfall and herbivory pressure scenarios. The functional traits of the two modeled plants were based on a prior field experiment in southeastern Spain, in which an unpalatable “nurse” species protected a palatable protégé species from herbivory. Moreover, the nurse species was more drought‐resistant; that is, it had a lower wilting point, whereas the protégé species had a higher optimal growth rate. Firstly, we investigated the coexistence of the two plant species growing under a single limiting resource, focusing on the effect of intra‐seasonal rainfall variability. We found that longer periods without rainfall within the wet season resulted in stable coexistence, whereas nearly constant rainfall led to competitive exclusion of the protégé by the nurse species. Secondly, we investigated how plant interactions varied along our studied gradients. Using the neighbor effect intensity and importance indices, we found that competitive effects increased with more constant rainfall. Moreover, higher herbivory rates resulted in increased facilitative effects of the nurse on the protégé species, but facilitative effects could only prevail over competitive effects under currently observed or higher intra‐seasonal rainfall variability. This study highlights the relevance of intra‐seasonal rainfall variability in explaining coexistence of species in dryland ecosystems and shows that increasing intra‐seasonal rainfall variability or herbivory pressure can result in more facilitative effects from a nurse species. This information is crucial to obtain a better insight into the long‐term coexistence of species, and the resulting stability of dryland ecosystems in response to future climate change.

On the Basis for Stumble Recovery Strategy Selection in Healthy Adults.

Healthy adults employ one of three primary strategies to recover from stumble perturbations-elevating, lowering, or delayed lowering. The basis upon which each recovery strategy is selected is not known. Though strategy selection is often associated with swing percentage at which the perturbation occurs, swing percentage does not fully predict strategy selection; it is not a physical quantity; and it is not strictly a real-time measurement. The objective of this work is to better describe the basis of strategy selection in healthy individuals during stumble events, and in particular to identify a set of real-time measurable, physical quantities that better predict stumble recovery strategy selection, relative to swing percentage. To do this, data from a prior seven-participant stumble experiment were reanalyzed. A set of biomechanical measurements at/after the perturbation were taken and considered in a two-stage classification structure to find the set of measurements (i.e., features) that best explained the strategy selection process. For Stage 1 (decision between initially elevating or lowering of the leg), the proposed model correctly predicted 99.0% of the strategies used, compared to 93.6% with swing percentage. For Stage 2 (decision between elevating or delayed lowering of the leg), the model correctly predicted 94.0% of the strategies used, compared to 85.6% with swing percentage. This model uses dynamic factors of the human body to predict strategy with substantially improved accuracy relative to swing percentage, giving potential insight into human physiology as well as potentially better informing the design of fall-prevention interventions.

Placental Glucose Uptake in a Nonhuman Primate Model of Western-Style Diet Consumption and Chronic Hyperandrogenemia Exposure.

We reported that consumption of a western-style diet (WSD) with and without hyperandrogenemia perturbed placental perfusion and altered levels of glucose transporter proteins in rhesus macaques. Based on that result, we hypothesized that placental glucose uptake would be dysregulated in this model. In this study, female rhesus macaques were assigned at puberty to one of four groups: subcutaneous cholesterol implants + standard chow diet (controls, C); testosterone implants + chow (T); cholesterol implants + a high-fat, WSD; and T+WSD. After ~6 years of treatment, animals were mated, and pregnancies were delivered by cesarean section at gestational day (G) 130 (the term is G168). Placental villous explants were immediately prepared for radiolabeled glucose assay. Linear glucose uptake was observed between 0 and 30 s. At 20 s, glucose uptake in placental villous explants did not differ across the four treatment groups with values as follows: C: 25.5 ± 6.33, T: 22.9 ± 0.404, WSD: 26.9.0 ± 3.71, and T+WSD: 33.0 ± 3.12 (mean ± SD expressed in pmol/mg). Unlike our prior experiment, glucose transporter expression was reduced in WSD placentas, and our in vitro functional assay did not demonstrate a difference in glucose uptake across the transporting epithelium of the placenta. Notably, maternal blood glucose levels were significantly elevated in animals chronically fed a WSD. This disparity may indicate differences in glucose utilization and metabolism by the placenta itself, as glucose transporter expression and circulating fetal glucose concentrations were comparable across all four groups in this pregnancy cohort.

Effects of Lime, Cow Manure Application with RhizobiumInoculation on Yield and Quality of the Peanut in the Grey Degraded Soil of Tri Ton town

The field study was carried out in the grey degraded soil of Tri Ton town during Winter-Spring and Summer-Autumn crop of 2019- 2020. The field experiment was carried out by four treatments and four replications. Four treatments of Winter-Spring crop: The control treatment applied NPK (100 kgUrea + 556 kgP2O5 + 100kg KCl); (NT2): application of NPK, lime with Rhizobium inoculation; (NT3): NPK, cow manure and Rhizobium inoculation; (NT4):NPK, cow manure and lime with Rhizobium. Four treatments of Summer-Autumn cropwere carried on the prior experiment (Winter-Spring crop).However, treatments did not apply to cow manure, lime and Rhizobium(only NPK).The maximum plant biomass (168 g), number of nodule (92.1), fresh and dry weight of fill pods (61.4 and 37.6 g, respectively), fresh and dry weight of empty pods (2.07 and 1.19 g ), weight of dry nodules (0.83 g ) per plant, yield (6.12 ton ha-1), protein and oil in seeds (26.1 and 50.1%, respectively) were observed in cow manure and lime applied with Rhizobium inoculated treatments. All the parameters of growth and yield showed best result for application of lime and cow manure with synthetic Rhizobium inoculation of seeds. Cow manure has significantlyincreased the yield of peanut in the next crops. The results from our two crops of study showed that co-application of NPK, cow manure, lime and Rhizobium inoculation always increased field capacity in both crops.

Non-invasive assessment of metabolic responses to food restriction using urinary triiodothyronine and cortisol measurement in macaques

Regulation of energy allocation and metabolic rate plays an important role in determining behavior and fitness in wild animals, calling for the validation of non-invasive markers of energetic condition. Recently, the thyroid hormone triiodothyronine (T3) has emerged as a promising marker as concentrations decrease to lower the metabolic rate during energetically challenging periods. However, it remains largely unclear whether T3 merely represents an alternative or provides additional information compared to other compounds involved in the regulation of energy acquisition and allocation, like cortisol and C-peptide, as few joint measurements have been conducted to date in non-invasively collected samples. We aimed to validate the non-invasive measurement of immunoreactive urinary total T3 (uTT3), in comparison to urinary cortisol (uCort) and urinary C-peptide (uCP), as a marker of metabolic response to variation in food intake in macaques, and to address a number of issues regarding the collection, storage and processing of samples which are important for application of uTT3 measurements under field conditions. We used daily samples and body mass measures from a prior food restriction-refeeding experiment over 4 weeks with six captive macaques and analyzed concentrations of uTT3 and uCort in samples collected prior to (fasting) and after morning feeding (non-fasting). Concentrations of uTT3 decreased in response to restriction in food supply and were also lower during weeks of food restriction compared to weeks of refeeding. Variation in uTT3 also correlated positively with variation in body mass and concentrations of uCP. As expected, uCort showed the reverse pattern, increasing during food restriction and decreasing following refeeding, but was not associated with variation in body mass. Generally, compared to fasting samples, concentrations were higher in post-morning feeding, i.e. non-fasting, samples for uTT3 but not uCort. Contamination of urine samples with fecal matter, but not soil, and exposure to UV light led to a decrease in uTT3. uTT3 was largely unaffected by repeated freeze–thaw cycles and by refrigeration for medium-term storage (2 days) but degraded substantially when stored at ambient temperature for the same period. In conclusion, uTT3 measurements inform on the effect of food intake and its associated metabolic response to variation in energetic status. Since uTT3 is reasonably robust to many issues associated with collection and storage of urine samples under field conditions, it is a promising biomarker for studies of energetic condition and basal metabolic rate in wild macaques.

Predicting quasibound states of negative ions: La− as a test case

We demonstrated the accurate prediction of a quasibound spectrum of a negative ion using a novel high-precision theoretical approach. We used La$^-$ as a test case due to a recent experiment that measured energies of 11 resonances in its photodetachment spectrum attributed to transitions to quasibound states [C. W. Walter et al., PRA, in press (2020); arXiv:2010.01122]. We identified all of the observed resonances, and predicted one more peak just outside the range of the prior experiment. Following the theoretical prediction, the peak was observed at the predicted wavelength, validating the identification. The same approach is applicable to a wide range of negative ions. Moreover, theory advances reported in this work can be used for massive generation of atomic transition properties for neutrals and positive ions needed for a variety of applications.

Human Performance Consequences of Automated Decision Aids: The Impact of Time Pressure.

The study addresses the impact of time pressure on human interactions with automated decision support systems (DSSs) and related performance consequences. When humans interact with DSSs, this often results in worse performance than could be expected from the automation alone. Previous research has suggested that time pressure might make a difference by leading humans to rely more on a DSS. In two laboratory experiments, participants performed a luggage screening task either manually, supported by a highly reliable DSS, or by a low reliable DSS. Time provided for inspecting the X-rays was 4.5 s versus 9 s varied within-subjects as the time pressure manipulation. Participants in the automation conditions were either shown the automation's advice prior (Experiment 1) or following (Experiment 2) their own inspection, before they made their final decision. In Experiment 1, time pressure compromised performance independent of whether the task was performed manually or with automation support. In Experiment 2, the negative impact of time pressure was only found in the manual but not in the two automation conditions. However, neither experiment revealed any positive impact of time pressure on overall performance, and the joint performance of human and automation was mostly worse than the performance of the automation alone. Time pressure compromises the quality of decision-making. Providing a DSS can reduce this effect, but only if the automation's advice follows the assessment of the human. The study provides suggestions for the effective implementation of DSSs in addition to supporting concerns that highly reliable DSSs are not used optimally by human operators.

Machine learning-based glass formation prediction in multicomponent alloys

Metallic glasses (MGs) have attracted considerable academic attention owing to their unique properties and great application prospects. Unlike other glassy materials, such as oxide glasses, MGs have limited glass forming-ability (GFA) that often leads to failure during new MG development. Although intensive studies have proposed various parameters and criteria enabling the evaluation of the GFA of MG samples, achieving accurate predictions of glass formation before the actual MG sample synthesis remains a great challenge and an open topic. In this study, we investigated the glass formation through the data-driven machine learning technique and trained a backpropagation neural network model based on a dataset assembled from thousands of ternary alloys. Applying the well-trained model, we accurately identified the MG and non-MG classes. More importantly, our model can effectively predict glass-formation likelihood of multicomponent alloys and locate the probable MG compositions without any prior experiment, thereby directing the MG design. From the model's predictions, we discovered several new MGs in the ribbon form. Glass-formation likelihood reveals the correlation with the thermodynamic and topological parameters, which provides insights into the GFA of MGs.

Can the curse of knowing be lifted? The influence of explicit perspective-focus instructions on readers' perspective-taking.

Perceivers of other minds often overestimate the similarity between their own and other people's perspectives. This egocentric projection during perspective-taking is argued to originate from perceivers' tendency to use their own perspective as a referential anchor from which they insufficiently adjust away to account for an alternative interpretation. We investigated whether an explicit focus on another person's point of view allows perceivers to make sufficient perspective-adjustments, thereby attenuating their egocentric projection. Findings showed that we successfully replicated Keysar's (1994) illusory transparency of intention effect (Experiment 1) and Epley, Keysar, Van Boven, and Gilovich's (2004) findings that confirm perceivers' egocentric anchoring and (insufficient) adjustment during perspective-taking (Experiment 2). We further showed that enhancing perceivers' attention to another person's perspective both prior (Experiment 1) and during (Experiment 2) perspective-taking did not diminish egocentric projection. Findings are discussed in light of the role of feedback in making accurate perspective-adjustments. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Chitosan Anchored Nanoparticles in Current Drug Development Utilizing Computer-Aided Pharmacokinetic Modeling: Case Studies for Target Specific Cancer Treatment and Future Prospective

Recently, in the medical and pharmaceutical fields, biopolymers are extensively used for chemical and mechanical modifications of pharmaceutical dosage forms, which add novel properties, functions, and applications. Structural modification of dosage form by polymers along with redesigning in pharmaceutical and tissue engineering fields, presently being the center of analysis for the modern research world, which utilizes the subtle instruments, precise research strategies and most significantly the excipients. The polymer, chitosan, which is a natural linear polysaccharide composed of randomly distributed β-(1- 4)-linked D-Glucosamine and N-acetyl-D-Glucosamine units. Chitosan has been used by researchers as a network forming or gelling agent as chitosan is economically available, possesses low immunogenicity, biocompatibility, non-toxicity, biodegradability, protects against secretion from irritation and does not suffer the danger of transmission animal infective agent. Recent studies have proved that the chitosan conjugated in various biopharmaceutical drug formulations, such as nanoparticles, have been used for the treatment of breast, skin, colon, pancreatic, prostate and lung cancer. The nanoparticles have gained significant attention of scientific groups for relevant cancer-targeting drugs and dosage form. In this connection, several articles been published on chitosan anchored nanoparticles by suitable techniques, such as ion gelation, complexation, solvent evaporation, emulsion droplet coalescence and polymerization. The most remarkable point is that chitosan-drug conjugated nanoparticles (CDNP) can target cancer affected cells with the least attempt to killing the neighbor host cell. It is already proved that the CDNP facilitate the more drugs uptaking or cytotoxicity to a cancerous cell. This overcomes the dosage form designing problems of complexity in the biological mechanism and cell specificity. A computer-aided pharmacokinetic study as well as in-silico design with model fitting can provide the possible finding related to target selectivity and interaction. The computer aided study also reduces time and could make the entire process much cheaper till today, very few research has been reported, such as PyRx with AutoDock, response surface methodology and molecular dynamic simulation in drug delivery for chitosan-drug conjugated nanoparticles. Therefore, cancer cell target-specific drug delivery using a natural biopolymer conjugate with a computer-aided pharmacokinetic model will be the thirst area of future research. To get successful anticancer drug formulation, in-silico pharmacokinetic modeling would minimize labor, and expenses, during and prior to the experiment has been extensively discussed in the present review.