Miracle-dz/UniFAR-FTUs huggingface dataset:
Behavior, decisions and ecological transition: experimental approaches with policy implications

One key aspect of the ecological transition has to do with individuals’ and collective behavior and its impact on climate change and decarbonization. We will describe how these questions can be studied by proper experimental designs by focusing on two examples: the implementation of Nordhaus's climate club idea for making countries contribute to climate change mitigation, and the interplay between the perception of the risk of a climatic catastrophe and the social norms arising from, and influencing, individual behavior. We will draw conclusions of the outcome of the experiments that can be relevant for policy making.
Gain amplification and lasing properties of individual organic nanofibers

We study gain and lasing processes in individual self-assembled organic nanofibers grown on mica substrates. The gain-induced response of the nanofibers is found to depend sensitively on the fiber structure. In homogeneous fibers where no coherent optical feedback is present, high net optical gain (of up to 103cm−1) results in spectral narrowing at the material gain peaks. In the case of strong optical feedback, which occurs in long nanofibers with randomly distributed scattering centers, gain is in turn responsible for low-threshold coherent random laser action.
Using the Job Demands-Resources Model to Underpin the Pandemic Nurses’ Turnover Intention Model to Examine Nurse Turnover Intentions in The Bahamas During the COVID-19 Pandemic: A Theory Paper

Nurse turnover can affect the accessibility of healthcare services, quality of patient care, and nurse well-being. Various individual and contextual factors have been found to predict nurse turnover. A growing body of evidence now suggests the emergence of another potential predictor─fear related to the novel coronavirus, SARS-CoV-2 also known as COVID-19. To limit consequences, stakeholders must collaboratively develop empirically supported interventions to reduce nurse turnover. The purpose of this paper is to explain the novel use of the Job Demands-Resources (JD-R) model as a theoretical underpinning of the empirically supported Pandemic Nurses’ Turnover Intention (PNTI) model which is used to examine factors influencing nurses’ turnover intentions in The Bahamas during the COVID-19 pandemic.
Cancer epigenetics in clinical practice

Cancer development is driven by the accumulation of alterations affecting the structure and function of the genome. Whereas genetic changes disrupt the DNA sequence, epigenetic alterations contribute to the acquisition of hallmark tumor capabilities by regulating gene expression programs that promote tumorigenesis. Shifts in DNA methylation and histone mark patterns, the two main epigenetic modifications, orchestrate tumor progression and metastasis. These cancer‐specific events have been exploited as useful tools for diagnosis, monitoring, and treatment choice to aid clinical decision making. Moreover, the reversibility of epigenetic modifications, in contrast to the irreversibility of genetic changes, has made the epigenetic machinery an attractive target for drug development. This review summarizes the most advanced applications of epigenetic biomarkers and epigenetic drugs in the clinical setting, highlighting commercially available DNA methylation‐based assays and epigenetic drugs already approved by the US Food and Drug Administration.
Ectopic CH60 mediates HAPLN1-induced cell survival signaling in multiple myeloma

This study defines ectopic mitochondrial chaperonin 60 (CH60) on the multiple myeloma cell surface as a HAPLN1 matrikine receptor that signals via TLR4 to induce NF-κB signaling and drug resistance. Multiple myeloma (MM), the second most common hematological malignancy, is generally considered incurable because of the development of drug resistance. We previously reported that hyaluronan and proteoglycan link protein 1 (HAPLN1) produced by stromal cells induces activation of NF-κB, a tumor-supportive transcription factor, and promotes drug resistance in MM cells. However, the identity of the cell surface receptor that detects HAPLN1 and thereby engenders pro-tumorigenic signaling in MM cells remains unknown. Here, we performed an unbiased cell surface biotinylation assay and identified chaperonin 60 (CH60) as the direct binding partner of HAPLN1 on MM cells. Cell surface CH60 specifically interacted with TLR4 to evoke HAPLN1-induced NF-κB signaling, transcription of anti-apoptotic genes, and drug resistance in MM cells. Collectively, our findings identify a cell surface CH60-TLR4 complex as a HAPLN1 receptor and a potential molecular target to overcome drug resistance in MM cells.
In vitro and computational studies of the β-lactamase inhibition and β-lactam potentiating properties of plant secondary metabolites

Abstract β-lactam resistance in bacteria is primarily mediated through the production of β-lactamases. Among the several strategies explored to mitigate the issue of β-lactam resistance, the use of plant secondary metabolites in combination with existing β-lactams seem promising. The present study aims to identify possible β-lactam potentiating plant secondary metabolites following in vitro and in silico approaches. Among 180 extracts from selected 30 medicinal plants, acetone extract of Ficus religiosa (FRAE) bark recorded the least IC50 value of 3.9 mg/ml. Under in vitro conditions, FRAE potentiated the activity of ampicillin, which was evidenced by the significant reduction in IC50 values of ampicillin against multidrug resistant bacteria. Metabolic profiling following HR-LCMS analysis revealed the presence of diverse metabolites viz. flavonoids, alkaloids, terpenoids, etc. in FRAE. Further, ensemble docking of the FRAE metabolites against four Class A β-lactamase (SHV1, TEM1, KPC2 and CTX-M-27) showed quercetin, taxifolin, myricetin, luteolin, and miquelianin as potential inhibitors with the least average binding energy. In molecular dynamic simulation studies, myricetin formed the most stable complex with SHV1 and KPC-2 while miquelianin with TEM1 and CTX-M-27. Further, all five metabolites interacted with amino acid residue Glu166 in Ω loop of β-lactamase, interfering with the deacylation step, thereby disrupting the enzyme activity. The pharmacokinetics and ADMET profile indicate their drug-likeness and non-toxic nature, making them ideal β-lactam potentiators. This study highlights the ability of metabolites present in FRAE to act as β-lactamase inhibitors. Communicated by Ramaswamy H. Sarma
A high-throughput surface plasmon resonance biosensor based on differential interferometric imaging

A new high-throughput surface plasmon resonance (SPR) biosensor based on differential interferometric imaging is reported. The two SPR interferograms of the sensing surface are imaged on two CCD cameras. The phase difference between the two interferograms is 180°. The refractive index related factor (RIRF) of the sensing surface is calculated from the two simultaneously acquired interferograms. The simulation results indicate that the RIRF exhibits a linear relationship with the refractive index of the sensing surface and is unaffected by the noise, drift and intensity distribution of the light source. The affinity and kinetic information can be extracted in real time from continuously acquired RIRF distributions. The results of refractometry experiments show that the dynamic detection range of SPR differential interferometric imaging system can be over 0.015 refractive index unit (RIU). High refractive index resolution is down to 0.45 RU (1 RU = 1 × 10−6 RIU). Imaging and protein microarray experiments demonstrate the ability of high-throughput detection. The aptamer experiments demonstrate that the SPR sensor based on differential interferometric imaging has a great capability to be implemented for high-throughput aptamer kinetic evaluation. These results suggest that this biosensor has the potential to be utilized in proteomics and drug discovery after further improvement.
Achievements and future directions in self‐reconfigurable modular robotic systems

In this study, a comprehensive review of achievements in the self‐reconfigurable modular robotics field and future directions are given. Self‐reconfigurable modular robots (SRMRs) are known as autonomous kinematic machines that can change their shape by rearranging the connectivity of their modules to perform new tasks, adapt to changing circumstances, and recover from damage. Versatility, reliability, and low‐cost are the fundamental promises of SRMRs when compared with conventional robots. This study emphasized the achievements in the field considering the promises and identified the gaps to be filled in the future. The main distinguishing feature of an SRMR is the capability of configuring its shape during operation. Flexibility in shape supported by appropriate controller strategies brings flexibility in task assignment. Classification of SRMRs is enriched by adding a new section based on assigned tasks to the robot. In addition, the classification based on mechanical and controller design aspects is thoroughly inspected in our study. A new subsection of material selection is introduced in the mechanical design aspects section. Adding these sections to the classification is the main difference between our study and the previous review studies. It is expected that the SRMRs field will have more interactions with materials science in the future. The study is concluded by emphasizing the promises of SRMRs and giving a future vision of the field.
Magnetic moments of baryons in a quark model

Magnetic moments of octet baryons are calculated in a non-relativistic quark model with scalar binding, using a model for SU(3) breaking developed earlier. Violation of ordinary spin symmetry is also considered, leading to a mixture of spin-orbital states. Consistency relations are derivable. In a special case, restricted to the 56, the results are given explicitly.
FACTORS THAT DETERMINE STOCK RETURNS MODERATED BY STOCK TRADING VOLUME IN MANUFACTURING COMPANIES LISTED ON THE INDONESIAN STOCK EXCHANGE FOR THE 2017-2021 PERIOD

This research is motivated by the movement of the average stock return in manufacturing companies that are fluctuating or unstable. This study aims to determine and analyze the effect of return on assets, current ratio, earnings per share on stock returns with stock trading volume as a moderating variable in manufacturing companies listed on the Indonesia Stock Exchange for the 2017-2021 period. This study is a quantitative study with a total population of all manufacturing companies listed on the Indonesia Stock Exchange for the 2017-2021 period with a total of 191 companies. The sampling technique of this research is purposive sampling technique with a total sample of 56 manufacturing companies listed on the IDX. The research data is secondary data in the form of financial reports which are accessed through the official website of the IDX (www.idx.co.id). This study was analyzed through MRA (Moderated Analysis Regression) analysis using Eviews 9. The results of this study found that return on assets, current ratio, and earnings per share partially had a significant effect on stock returns in manufacturing companies listed on the Indonesia Stock Exchange (IDX). period 2017-2021. The results of the Moderated Regression Analysis (MRA) test show that stock trading volume (TVA) moderates the effect of the current ratio on stock returns, but stock trading volume (TVA) cannot moderate the effect of return on assets and earnings per share on stock returns in manufacturing companies. listed on the Indonesia Stock Exchange (IDX) for the period 2017-2021.
Linear compensator control of a pointsource induced perturbation in a Falkner-Skan-Cooke boundary layer

We focus on the problem of controlling pointsource induced perturbations on an infinite swept wing using linear control theory. Based on wall measurements in a spatial simulation of localized disturbances in Falkner–Skan–Cooke boundary layers, an extended Kalman filter is used to estimate the full three-dimensional wave packet. The estimated field is in turn used to calculate a feedback control which changes the growth of the disturbance into decay. This is the first time that optimal control and estimation concepts are successfully applied to construct a dynamic output feedback compensator which is used to control disturbances in spatially developing boundary layers.
3D surface texture synthesis using improved graph cuts

This paper introduces an improved graph cut approach and combines it with commonly used surface texture representations for synthesis. Unlike graph cut which supports iterative refinement for improvement of the patch seams, the improved graph cut method re-synthesis the max error overlap region using k-nearest neighbor method. This paper follows a simple 3D surface texture synthesis framework, which comprises three steps: capture, synthesis and relighting. Firstly, it represents 3D surface textures under varied illumination directions using gradient and albedo maps. Then, it uses the surface representation to synthesis a description of a larger surface. Finally, it renders the surface representation. It proposes an improved graph cut method for the synthesis step, and the proposed method can generate perceptually smooth images of 3D surface texture from small samples.
The role of FOXO1-mediated autophagy in the regulation of bone formation

ABSTRACT Autophagy is essential for the maintenance of intracellular homeostasis, implicated in various biological processes. Forkhead box protein O1 (FOXO1) is regarded as a key mediator regulating skeletal development. Recent studies indicate that FOXO1 has a multifaceted role in autophagy regulation and dysregulation. Here, we aimed to elucidate the role of FOXO1-autophagy axis in osteogenesis. Osteoblast conditional Foxo1-knockout mice (Foxo1 OB −/− , KO) and FOXO1 lentivirus overexpression (Len-FoxO1) model were constructed in vivo. Primary osteoblasts were isolated from KO and their wild-type (WT) littermates. And we also applied overexpression lentivirus to investigate the effects of FOXO1 in vitro. Using Micro-CT, fluorescence labeling detection, real-time qPCR and western blot analyses, we found that bone formation was promoted in Len-FOXO1 mice, which was impaired in KO group. Similarly, FOXO1 overexpression enhanced proliferation, migration and differentiation of osteoblasts, while FOXO1 ablation resulted in poor biological functions of osteoblasts. Through the investigation of autophagic process using mRFP-GFP-LC3 fluorescence labeling and co-immunoprecipitation, we observed that overexpression of FOXO1 initiated autophagy induction, with enhanced FOXO1 interaction with autophagy-related protein 7 (ATG7). On the contrary, FOXO1 knockout in osteoblasts impeded FOXO1-ATG7 conjugation, leading to impaired autophagic activity. Furthermore, inhibition of autophagy by chloroquine (CQ) could reverse favorable influences in bone formation induced by FOXO1 overexpression. Our findings confirmed that FOXO1 was an important regulator of bone formation and autophagy might be part of the underlying mechanisms, offering a significant avenue for the potential strategy in the treatment of bone-related disorders.
Large-scale structures and turbulence saturation in gyrofluid ETG simulations

The dynamics of secondary fluctuations with poloidal long wavelength and low frequency in electron-temperature-gradient (ETG) turbulence saturation is considered in sheared slab geometry. A simplified modeling analysis shows that this kind of large-scale structure including streamers may saturate primary ETG instability through poloidal mode coupling. Spectral analyses in three-dimensional ETG simulations clearly exhibit the secondary excitation and the probable relevancy to ETG saturation. The result may implicate a lower fluctuation level in ETG turbulence.
A microfluidic platform for chip-based DNA detection using SERS and silver colloids

Within this contribution, we demonstrate a combination of microarrays, microfluidics and SERS to enable a sequence specific detection of DNA. In this combination, the microarray allows for the immobilisation of DNA sequences as well as the removal of unbound DNA, microfluidics permit the automation of the process and SERS provides a highly sensitive detection by means of an interaction between an analyte molecule and the enhanced electromagnetic field in the proximity of metallic nanostructured surfaces such as spherical nanoparticles. With this setup, we are able to distinguish between different complementary and non-complementary target sequences in one sample solution.
A passive planar model with rolling contact and its application for bounding and pronking on a quadruped robot

The development and investigation of a quadruped robot's dynamic bounding and pronking gaits using a sagittal planar model that captures the robot's natural dynamics are presented. The proposed reduced-order model, termed the Two-rolling-leg (TRL) model, is a 3-DOF planar rigid-body model consisting of two half-circular compliant legs with pure rolling contact. Throughout the non-dimensional steps-to-fall and fixed-point analysis, the model with feasible intrinsic parameters can passively perform the periodic dynamic behavior of bounding and pronking, revealing a relationship between the body parameters and the preferred dynamic behaviors. Dynamic bounding and pronking on a quadruped robot were initiated by developing a model-based control strategy based on the searched periodic dynamic behaviors of the TRL model. The experimental results showed that the robot can initiate its dynamic bounding and pronking behaviors at various forward speeds merely by causing the motor to track a preset trajectory derived from the fixed-point motion of the TRL model using position control. The higher success rate of the robot in stable bounding than in pronking is in line with the results from the analysis of the model. This paper confirms that the dynamic multi-gait locomotion of a quadrupedal robot can be initiated by utilizing a reduced-order model for control guidance and that the body configuration plays an important role in determining the characteristics of the dynamic behaviors.
Lagrangian stochastic modeling of anomalous diffusion in two-dimensional turbulence

It is shown that at intermediate times, the Langevin equation corresponding to the nonlinear Fokker–Planck equation with exponents μ=1 and ν>1 produces trajectories with multifractal scaling and anomalous power-law dispersion, in common with observations of drifters in the ocean and numerical simulations of tracer particles in two-dimensional turbulence. The extent of this regime and the occurrence of anomalously large normal diffusion at much later times are shown to be in close agreement with dispersion data from numerical simulations of two-dimensional turbulence. In analogy with the dynamics of point vortices in two-dimensional turbulence, the modeled dynamics are nonergodic and effectively comprise of a background Ornstein–Uhlenbeck process punctuated by occasional fast long flights. It is shown that these dynamics optimize the nonextensive (Tsallis) entropy. It is tentatively suggested that the anomalous dispersion in two-dimensional turbulence is a consequence of smaller than average Lagrangian accelerations in regions of the flow with faster than average velocities.
An automated damage inspection microscopy system for National Ignition Facility optics

Identifying laser induced damage on the surface of optical components for the purpose of tracking its growth over time and repairing it is an important part of the economical operation of the National Ignition Facility (NIF). Optics installed on NIF are monitored in situ for damage growth and can be removed as needed for repair and re-use. An ex-situ automated microscopy system is used to inspect full sized NIF optics allowing for the detection of damage sites <10 μm in diameter. Due to the various morphology of laser damage, several algorithms are used to analyze the microscopy data and identify damage regardless of size, while ignoring features not related to laser damage. This system has significantly increased the lifetime of NIF final optics (≈2.3x) thereby extending beyond the capabilities of the in-situ inspection by itself.
New Constraints on Protostellar Jet Collimation from High-Density Gas UV Tracers

The analysis of high-resolution profiles of the semiforbidden UV lines of C III]1908 and Si III]1892 in the spectra of T Tauri stars (TTSs) shows the following: (1) There is C III]1908 and Si III]1892 emission at velocities that are similar to those observed in the optical forbidden lines formed in the TTSs jets. The luminosity of the UV lines is comparable to that of the optical lines. (2) The comparison between the optical and UV light curves indicates that the C III]1908 and Si III]1892 emission of RY Tau is not associated with accretion shocks, but it is produced farther than 2 R* from the star. (3) The profiles of the UV semiforbidden lines are significantly broader than those of the optical forbidden lines. These profiles cannot be produced in a narrow collimated beam, and they are most likely produced in a bow-shaped shock wave formed at the base of the optical jet, where the hot gas emits in a broad range of projected radial velocities. (4) The atmosphere of RU Lup contributes significantly to the Si III]1892 emission. (5) A puzzling narrow feature is observed close to the C III]1908 line. The feature is blueshifted by -260 km s-1, which corresponds to the wind terminal velocity measured in the P Cygni profile of the Mg II (UV1) lines. Moreover, constraints are derived on the characteristics of the C III]1908 and Si III]1892 emitting region in RY Tau. It is shown that 4.7 ≤ log Te ≤ 5.0 and 109 cm-3 ≤ Ne ≤ 1011 cm-3 provided that the emission is produced in a collisional plasma and that the 1665 Å feature observed in low-dispersion International Ultraviolet Explorer (IUE) spectra is confirmed to be O III]1665 emission produced in the wind. These very high densities are difficult to generate in the shocks produced by the magnetic pinching of centrifugally driven magnetized disk winds. The data also suggest that the shocked layer has a radius of some few stellar radii and it is closer than ~38 R* to the star.
Communicating cleanliness, health, safety, and environmental sustainability policy during Covid-19

One of the key strategies for tourism and hospitality recovery post-Covid-19 is communicating the Cleanliness, Health, Safety, and Environmental Sustainability (CHSE) policy. CHSE policy ensures that tourism actors and tourists conduct a new tourism culture that coalesced with the global pandemic. Therefore, the current study offers a study case reviewing the communication of CHSE policy in Bromo Tengger Semeru (BTS) tourist areas. BTS is designated as one of the Indonesian government's national tourism strategic areas or New Bali with priority status. We reviewed published tourism and hospitality literature pandemic-related articles to meet our research objectives and conducted in-depth interviews with BTS community leaders. Based on the results, we identified that the communication of CHSE policy in the BTS area applies an ideation communication strategy, emphasising instructional, directional, and non-directional communication patterns. These communication patterns are implemented through the three categories of policy instruments that consider the people's cognitive, emotional, and social aspects of the BTS.