Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Holding Time During Sintering on Microstructure and Properties of 3D Printed Alumina Ceramics

In this work, alumina ceramics were formed via stereolithography-based 3D printing technology in order to fabricate ceramic cores in a fast and cost-effective way. Effects of holding time during sintering on microstructure and properties of alumina ceramics were investigated. Sintered alumina ceramics were made up of layered structures due to layer-by-layer forming method. In addition, interlayer spacing decreased with the increase in holding time. Average particle size, shrinkage, crystallite size, flexural strength, and hardness increased with the increase in holding time due to strong interfacial bonding among alumina particles. Open porosity decreased slightly as holding time increased. Moreover, it was found that holding time had little influence on bulk density, phase composition, and chemical bonds of the ceramics. The shrinkage in Z direction was about 1.8 times higher than that in X or Y directions due to layered structure caused by 3D printing forming method. The optimum holding time was 90 min, which resulted in ceramics with interlayering spacing of 11.8 μm, shrinkage of 2.1% in X direction, 2.1% in Y direction, and 4.1% in Z direction, flexural strength of 20.7 MPa, nano-indentation hardness of 17.6 GPa, Vickers hardness of 114.3 HV, bulk density of 2.5 g/cm3, and open porosity of 39.0%.
Effects of Pitch Gestures on Learning Chinese Orthography with a Social Robot

In this study, we investigate the effect of a social robot using head and arm gestures mimicking the lexical tones (i.e. pitch gestures) on learning pronunciations and translations of Chinese characters. Performance was compared between two within-subjects conditions: Gesture Observation condition, in which the robot used pitch gestures to teach six characters and the No Gesture condition in which the robot did not use gestures to teach six characters. Participants (N = 21) were tested on how well they pronounced and translated the learned characters. The study showed that a robot not using gestures was found to enhance learning, but only when participants could first familiarize with learning Chinese characters with the robot using pitch gestures. These results suggested that prior knowledge of learning Chinese attained from a robot using pitch gestures improved recall on learning the characters during a learning module with a robot not using gestures.
Defense Against the Dark Cars: How People Grief Autonomous Vehicles

As autonomous vehicles (AVs) become a reality on public roads, researchers and designers are beginning to see unexpected behaviors from the public. Ranging from curiosity to vandalism, these behaviors are concerning as AV platforms will need to know how to deal with people behaving unexpectedly or aggressively. We call these antagonistic behaviors griefing of AVs, adopting the term from online gaming, which Warner and Raiter define as "Intentional harassment of other players.which utilizes aspects of the game structure or physics in unintended ways to cause distress''. We used the term griefing (rather than bullying), as not all behavior was intended to be violent or demeaning. However, any behavior that delays an AV's journey could be problematic for AV developers and consumers. We observed ten griefing instances over four years and five studies of pedestrian-AV behavior in three countries. For each study, we modified a conventional vehicle to appear autonomous through fake LiDAR and decals saying "Driverless Vehicle''. The driver hid beneath a costume that looked like a car seat, allowing them to remain in control of the vehicle at all times while the vehicle appeared fully autonomous from the outside. Pedestrians were generally convinced of the illusion, as confirmed through interviews with consenting pedestrians and video recordings of all interactions. Full detail on the study, as well as proposed design principles to counter this behavior, will be published at HRI 2020 as a full paper. These observations build on accounts of bullying towards robots that have been previously reported in the HRI community. While AV developers such as Uber and Waymo have shared anecdotes of past vandalism, we believe this to be the first public video made available that captures the range of griefing from playful to aggressive. We hope this video stimulates conversation regarding appropriate design principles to counter griefing towards AVs. Several researchers study motivations behind this behavior, and it remains unclear how long it will take for it to naturally subside. In the meantime, AVs should be designed with this behavior in mind.
Programming a Robot or an Avatar: A Study on Learning Outcomes, Motivation, and Cooperation

Robots have been found to be effective tools for programming instruction, although it is not yet clear why students learn more using robots as compared to receiving 'traditional' programming instruction. In this study, 121 nine- to twelve-year-old children received a programming training in pairs, in one of two conditions: using either a robot or a virtual avatar. The training was videotaped to study differences in children's cooperation. Furthermore, children's learning outcomes and motivation were assessed through questionnaires. Children were found to learn more from programming the robot than the avatar, although no differences in their cooperation during the training or self-reported motivation were found between the two conditions. Thus, future research is required to further understand how exactly robots lead to higher learning outcomes than 'traditional' tools.
Functional Genomic Validation of the Roles of Soluble Starch Synthase IIa in Japonica Rice Endosperm

The enzyme starch synthase IIa (SSIIa) in cereals has catalytic and regulatory roles during the synthesis of amylopectin that influences the functional properties of the grain. Rice endosperm SSIIa is more active in indica accessions compared to japonica lines due to functional SNP variations in the coding region of the structural gene. In this study, downregulating the expression of japonica-type SSIIa in Nipponbare endosperm resulted in either shrunken or opaque grains with an elevated proportion of A-type starch granules. Shrunken seeds had severely reduced starch content and could not be maintained in succeeding generations. In comparison, the opaque grain morphology was the result of weaker down-regulation of SSIIa which led to an elevated proportion of short-chain amylopectin (DP 6-12) and a concomitant reduction in the proportion of medium-chain amylopectin (DP 13-36). The peak gelatinization temperature of starch and the estimated glycemic score of cooked grain as measured by the starch hydrolysis index were significantly reduced. These results highlight the important role of medium-chain amylopectin in influencing the functional properties of rice grains, including its digestibility. The structural, regulatory and nutritional implications of down-regulated japonica-type SSIIa in rice endosperm are discussed.
What Would You Like to Drink?: Engagement and Interaction Styles in HRI

In this paper, we address the question of how specific barman/robot interaction styles can affect users' engagement. To this extent, we implemented a barman-robot called "BRILLO" with neutral, entertaining, and emphatic behavioral style suggesting drinks and taking orders from customers. Results show that a robot's interaction style may determine users' level of engagement. Indeed, interacting with an emphatic robot that modulates its behavior according to the user's one is more effective than a neutral robot in improving engagement and positive emotions in public-service contexts. Moreover, users experienced more positive emotions when they perceived BRILLO as safe and as more similar to a human.
AntiCP 2.0: An updated model for predicting anticancer peptides

Increasing use of therapeutic peptides for treating cancer has received considerable attention of the scientific community in the recent years. The present study describes the in silico model developed for predicting and designing anticancer peptides (ACPs). ACPs residue composition analysis revealed the preference of A, F, K, L and W. Positional preference analysis revealed that residue A, F and K are preferred at N-terminus and residue L and K are preferred at C-terminus. Motif analysis revealed the presence of motifs like LAKLA, AKLAK, FAKL, LAKL in ACPs. Prediction models were developed using various input features and implementing different machine learning classifiers on two datasets main and alternate dataset. In the case of main dataset, ETree Classifier based model developed using dipeptide composition achieved maximum MCC of 0.51 and 0.83 AUROC on the training dataset. In the case of alternate dataset, ETree Classifier based model developed using amino acid composition performed best and achieved the highest MCC of 0.80 and AUROC of 0.97 on the training dataset. Models were trained and tested using five-fold cross validation technique and their performance was also evaluated on the validation dataset. Best models were implemented in the webserver AntiCP 2.0, freely available at https://webs.iiitd. edu.in/raghava/anticp2. The webserver is compatible with multiple screens such as iPhone, iPad, laptop, and android phones. The standalone version of the software is provided in the form of GitHub package as well as in docker technology.
Experimental Study of Tumor Therapy Mediated by Multimodal Imaging Based on a Biological Targeting Synergistic Agent

Purpose The high-intensity focused ultrasound (HIFU) ablation of tumors is inseparable from synergistic agents and image monitoring, but the existing synergistic agents have the defects of poor targeting and a single imaging mode, which limits the therapeutic effects of HIFU. The construction of a multifunctional biological targeting synergistic agent with high biosafety, multimodal imaging and targeting therapeutic performance has great significance for combating cancer. Methods Multifunctional biological targeting synergistic agent consisting of Bifidobacterium longum (B. longum), ICG and PFH coloaded cationic lipid nanoparticles (CL-ICG-PFH-NPs) were constructed for targeting multimode imaging, synergistic effects with HIFU and imaging-guided ablation of tumors, which was evaluated both in vitro and in vivo. Results Both in vitro and in vivo systematical studies validated that the biological targeting synergistic agent can simultaneously achieve tumor-biotargeted multimodal imaging, HIFU synergism and multimodal image monitoring in HIFU therapy. Importantly, the electrostatic adsorption method and the targeting of B. longum to tumor tissues allow the CL-ICG-PFH-NPs to be retained in the tumor tissue, achieve the targeting ability of synergistic agent. Multimodal imaging chose the best treatment time according to the distribution of nanoparticles in the body to guide the efficient and effective treatment of HIFU. CL-ICG-PFH-NPs could serve as a phase change agent and form microbubbles that can facilitate HIFU ablation by mechanical effects, acoustic streaming and shear stress. This lays a foundation for the imaging and treatment of tumors. Conclusion In this work, a biological targeting synergistic agent was successfully constructed with good stability and physicochemical properties. This biological targeting synergistic agent can not only provide information for early diagnosis of tumors but also realize multimodal imaging monitoring during HIFU ablation simultaneously with HIFU treatment, which improves the shortcomings of HIFU treatment and has broad application prospects.
Relationship between Higher Atherogenic Index of Plasma and Oxidative Stress of a Group of Patients Living with Sickle Cell Anemia in Cameroon

Dyslipidemia is highly prevalent in sickle cell anemia (SCA) patients and is one of the major risk factors for cardiovascular diseases induced by oxidative stress in Africa. The aim of this research was to investigate the correlation between higher atherogenic index of plasma (API) and oxidative stress in a group of patients living with SCA in Cameroon. Methods. A group of 85 homozygote SS patients (male and female) were enrolled at the Central hospital of Yaounde in Cameroon between May and October 2017. After informed consent through the signature of a consent form was obtained, the plasma was collected to determine the lipid profile while the lysate solution of RBC was used to explore some markers of oxidative stress using spectrophotometric methods. Results. Among the 85 patients included in our study, the mean age was 30 ± 5 years and the female to male ratio was 0.97. The majority of the patients (52–81%) had dyslipidaemia, and 22.4% of the patients demonstrated a higher level of atherogenic index of plasma. The patients with a higher level of total cholesterol (TC) (>240 mg/dl) and low-density lipoprotein (LDL-C) (>159 mg/dl) had at least 1,334 fold of malondialdeheyde (MDA) concentration than those with normal level. Also in the same patients, the higher atherogenic plasmatic index (API) significantly (p < 0.05) increased with the concentration of MDA. Except HDL-C, the other parameters of lipid profile had significant (p < 0.05) correlation with reduced glutathione (GsH) and total antioxidant capacity (TAC). The significant (p < 0.05) and linear regression was found between the increased MDA and higher API. Conclusion. Dyslipidemia increases oxidative stress and higher API which leads to coronary vascular disease in patients with SCA.
Large-scale phenotypic drug screen identifies neuroprotectants in zebrafish and mouse models of retinitis pigmentosa

Retinitis pigmentosa (RP) and associated inherited retinal diseases (IRDs) are caused by rod photoreceptor degeneration, necessitating therapeutics promoting rod photoreceptor survival. To address this, we tested compounds for neuroprotective effects in zebrafish and mouse RP models, reasoning drugs effective across species may translate better clinically. We first performed a large-scale phenotypic drug screen using a larval zebrafish model of inducible RP. 2,934 compounds, mostly human-approved drugs, were tested across six concentrations. Statistically, 113 compounds achieved “hit” status. Secondary tests of 42 high-priority hits confirmed eleven lead compounds. Nine leads were then evaluated in mouse RP models, with six exhibiting neuroprotective effects. An analysis of potential mechanisms of action suggested complementary activities. Paired lead compound assays in zebrafish showed additive neuroprotective effects for the majority. These results highlight the value of cross-species phenotypic drug discovery and suggest combinatorial drug therapies may provide enhanced therapeutic benefits for patients with RP and IRDs.
Identification of Genes Required for Enzalutamide Resistance in Castration-Resistant Prostate Cancer Cells In Vitro

Castration-resistant prostate cancer can be treated with the antiandrogen enzalutamide, but responses and duration of response are variable. To identify genes that support enzalutamide resistance, we performed a short hairpin RNA (shRNA) screen in the bone-homing, castration-resistant prostate cancer cell line, C4-2B. We identified 11 genes (TFAP2C, CAD, SPDEF, EIF6, GABRG2, CDC37, PSMD12, COL5A2, AR, MAP3K11, and ACAT1) whose loss resulted in decreased cell survival in response to enzalutamide. To validate our screen, we performed transient knockdowns in C4-2B and 22Rv1 cells and evaluated cell survival in response to enzalutamide. Through these studies, we validated three genes (ACAT1, MAP3K11, and PSMD12) as supporters of enzalutamide resistance in vitro. Although ACAT1 expression is lower in metastatic castration-resistant prostate cancer samples versus primary prostate cancer samples, knockdown of ACAT1 was sufficient to reduce cell survival in C4-2B and 22Rv1 cells. MAP3K11 expression increases with Gleason grade, and the highest expression is observed in metastatic castration-resistant disease. Knockdown of MAP3K11 reduced cell survival, and pharmacologic inhibition of MAP3K11 with CEP-1347 in combination with enzalutamide resulted in a dramatic increase in cell death. This was associated with decreased phosphorylation of AR-Serine650, which is required for maximal AR activation. Finally, although PSMD12 expression did not change during disease progression, knockdown of PSMD12 resulted in decreased AR and AR splice variant expression, likely contributing to the C4-2B and 22Rv1 decrease in cell survival. Our study has therefore identified at least three new supporters of enzalutamide resistance in castration-resistant prostate cancer cells in vitro.
Are there Physical Linkages between Genes that have Synergistic Fitness Effects?

Many of the effects on fitness in population genetics are due not to single locations in the genome, but to the interaction of genetic variants at multiple locations in the genome. Of particular interest are ‘completely epistatic’ interactions, where a combination of genetic variants is required to produce an effect, and the effect cannot occur with any other combination. In diploids, epistasis is strongly connected to meiotic recombination, a process which can both assemble and destroy beneficial combinations of genetic variants. Additionally, epistatic interactions can be hard to detect in empirical studies, and mathematical models of epistasis and recombination are challenging to analyse, so despite their ubiquity epistatic interactions are regularly not considered. As a result, there is little consensus on when high levels of recombination might be expected, or how strongly recombination affects beneficial or deleterious fitness effects controlled by epistatic interactions. We address this question by conducting a meta-analysis and simulations. The meta-analysis used data drawn and curated from Drosophila melanogaster studies in Flybase. We extracted studies relating genetic combinations and phenotypically detectable effects on fitness, then analysed the relationship between the rate of recombination and effect on fitness with a statistical model. We also ran simulations under a two-locus Wright-Fisher model with recombination and epistatic selection. The results of both approaches indicated a tendency for genetic combinations with an epistatic effect on fitness to occur in an environment of reduced meiotic recombination. Two possible explanations for this are that the variants controlling such interactions are selected for in regions where there is little recombination, or that such interactions lead to selection for lower rates of recombination in the regions where those variants appear.
Hepatitis C Virus Infection in Children and Pregnant Women: An Updated Review of the Literature on Screening and Treatments

Abstract Objective The aim of the paper is to review the current information relating to the diagnosis and treatment of hepatitis C virus (HCV) infection in pregnant women and children, particularly those infected by mother-to-child transmission. Study Design A review of published literature was performed to identify relevant articles published between January 2015 and March 2019 on: HCV infection in pregnant woman, mother-to child-transmission of HCV and HCV infection in pediatrics. The results of the evaluation of the different studies were summarized in two sections describing separately the screening and effective treatments in pregnant women and children. Results The rate of mother-to-child transmission of HCV is approximately 5%. HCV infection is strongly associated with cholestasis and preterm birth. Prenatal diagnosis of hepatitis C virus has a dual benefit for mother and child. Perinatally infected children develop cirrhosis in earlier age than those who acquire HCV as adolescents. Pregnant women with cirrhosis have a higher risk of poor maternal and neonatal outcomes than those without cirrhosis. Conclusion To improve public health, universal screening of pregnant women for HCV infection should be performed. Early identification of women and children with HCV infection is important to enable them to be included in assessment and/or treatment programs.
Potential for transmission of Elizabethkingia anophelis by Aedes albopictus and the role of microbial interactions in Zika virus competence

Elizabethkingia anophelis has been the cause of four outbreaks with significant morbidity and mortality. Its transmission routes remain unknown and no point source of infection has been identified. Here we show that E. anophelis can be found in the saliva of Aedes mosquitoes, suggesting the novel possibility of vector-borne transmission of this bacterium. We additionally characterized diverse microbial communities in Aedes midguts, salivary glands and saliva. To the best of our knowledge, this represents the first description of the microbiome of Aedes saliva. Further, we demonstrate that increased abundance of E. anophelis is associated with decreased susceptibility and replication of Zika virus (ZIKV) in the midgut of Aedes mosquitoes, suggesting a novel transmission barrier for arboviruses transmitted by Aedes mosquitoes. Together, these results demonstrate the complex relationships between the mosquito, the midgut microbial community and arboviruses and offer insights into the epidemiology and control of emerging bacterial and viral pathogens.Elizabethkingia anophelis has in the recent past caused outbreaks different parts of the world resulting both in morbidity and mortality. Until now, to the best of our knowledge, no study has been able to demonstrate that this bacterium can be transmitted by mosquitoes. We have demonstrated for the first time that Elizabethkingia anophelis is present in the saliva of both infected and non-infected Aedes mosquitoes. Further, we have shown that it confers an inhibitory effect on Zika virus establishment in the midguts of Aedes mosquitoes. Together, these results potentially display the potential for vector borne transmission of E. anophelis as well as a novel transmission barrier of ZIKV. Lastly, we have for the first time characterized salivary microbes of Aedes mosquitoes necessitating the investigation of the impact of salivary microbes in severity of disease in vertebrate hosts.
Neural Substrates of Working Memory Updating

Abstract Working memory (WM) needs to protect current content from interference and simultaneously be amenable to rapid updating with newly relevant information. An influential model suggests these opposing requirements are met via a BG–thalamus gating mechanism that allows for selective updating of PFC WM representations. A large neuroimaging literature supports the general involvement of PFC, BG, and thalamus, as well as posterior parietal cortex, in WM. However, the specific functional contributions of these regions to key subprocesses of WM updating, namely, gate opening, content substitution, and gate closing, are still unknown, as common WM tasks conflate these processes. We therefore combined fMRI with the reference-back task, specifically designed to tease apart these subprocesses. Participants compared externally presented face stimuli to a reference face held in WM, while alternating between updating and maintaining this reference, resulting in opening versus closing the gate to WM. Gate opening and substitution processes were associated with strong BG, thalamic, and frontoparietal activation, but intriguingly, the same activity profile was observed for sensory cortex supporting task stimulus processing (i.e., the fusiform face area). In contrast, gate closing was not reliably associated with any of these regions. These findings provide new support for the involvement of the BG in gate opening, as suggested by the gating model, but qualify the model's assumptions by demonstrating that gate closing does not seem to depend on the BG and that gate opening also involves task-relevant sensory cortex.