Miracle-dz/UniFAR-FTUs huggingface dataset:
Artificial neural networks for model identification and parameter estimation in computational cognitive models

Computational cognitive models have been used extensively to formalize cognitive processes. Model parameters offer a simple way to quantify individual differences in how humans process information. Similarly, model comparison allows researchers to identify which theories, embedded in different models, provide the best accounts of the data. Cognitive modeling uses statistical tools to quantitatively relate models to data that often rely on computing/estimating the likelihood of the data under the model. However, this likelihood is computationally intractable for a substantial number of models. These relevant models may embody reasonable theories of cognition, but are often under-explored due to the lack of tools required to relate them to data. We propose to fill this gap using artificial neural networks (ANNs) to map data directly onto model identity and parameters, bypassing the likelihood estimation. Our results show that we can adequately perform both parameter estimation and model identification using our new ANN approach, including for models that cannot be fit using traditional likelihood-based methods. Our new ANN approach will greatly broaden the class of cognitive models researchers can quantitatively consider.
The development of HISPEC for Keck and MODHIS for TMT: science cases and predicted sensitivities

HISPEC is a new, high-resolution near-infrared spectrograph being designed for the W.M. Keck II telescope. By offering single-shot, R 100,000 spectroscopy between 0.98 – 2.5 μm, HISPEC will enable spectroscopy of transiting and non-transiting exoplanets in close orbits, direct high-contrast detection and spectroscopy of spatially separated substellar companions, and exoplanet dynamical mass and orbit measurements using precision radial velocity monitoring calibrated with a suite of state-of-the-art absolute and relative wavelength references. MODHIS is the counterpart to HISPEC for the Thirty Meter Telescope and is being developed in parallel with similar scientific goals. In this proceeding, we provide a brief overview of the current design of both instruments, and the requirements for the two spectrographs as guided by the scientific goals for each. We then outline the current science case for HISPEC and MODHIS, with focuses on the science enabled for exoplanet discovery and characterization. We also provide updated sensitivity curves for both instruments, in terms of both signal-to-noise ratio and predicted radial velocity precision.
Clinical, Radiographic Peri-Implant Parameters and Patient Satisfaction with Splinted and Non-splinted Short Dental Implants in the Maxillary Premolar-Molar Region: A Long-Term Retrospective Clinical Study.

PURPOSE The goal of this study was to assess the peri-implant condition, peri-implant bone loss (PBL), and complication rates of short dental implant-supported splinted crowns (SDI-SCs) and non-splinted crowns (SDI-NSCs) in the maxillary premolar-molar region. MATERIALS AND METHODS Patients who had short implants placed near their maxillary sinuses were evaluated. Both patient satisfaction and presence of any technical complication, e.g. porcelain wear and chipping, loss of retention and loosening of the abutment, fixture or screw, were noted. The peri-implant plaque index (PIPI), probing depth (PIPD), bleeding on probing (PIBP), and peri-implant bone loss (PBL) were evaluated. To assess the impact of prosthesis type and SDI placement on technical problems, a log-rank test was computed. p < 0.05 was considered statistically significant. RESULTS A total of 72 patients agreed to be followed-up, showing a mean follow-up time of 3.1 years. Ninty-five implants in total (55 SDI-SCs, and 40 SDI-NSCs) with moderately rough surfaces were evaluated. The average PBL score for implant and patients was 1.27 (0.02-3.97) and 1.25 (0.03-4.41), respectively. More technical complications were observed with single crowns than with splinted crowns. There were no statistically significant differences in the peri-implant parameters between SDI-SCs and SDI-NSCs (p > 0.05). PBL at molar sites was substantially higher than at premolar sites (p = 0.048). Sixty patients (83.3%) were satisfied with the appearance of the crowns, while 57 patients (79.1%) were satisfied with the crowns' performance. CONCLUSION The peri-implant conditions, bone levels, technical complication rates and patient satisfaction were comparable between the SDI-SCs and SDI-NSCs. However, implants placed in the molar sites had statistically significantly greater bone loss in comparison to those at the premolar sites.
3D-U-SAM Network For Few-shot Tooth Segmentation in CBCT Images

Accurate representation of tooth position is extremely important in treatment. 3D dental image segmentation is a widely used method, however labelled 3D dental datasets are a scarce resource, leading to the problem of small samples that this task faces in many cases. To this end, we address this problem with a pretrained SAM and propose a novel 3D-U-SAM network for 3D dental image segmentation. Specifically, in order to solve the problem of using 2D pre-trained weights on 3D datasets, we adopted a convolution approximation method; in order to retain more details, we designed skip connections to fuse features at all levels with reference to U-Net. The effectiveness of the proposed method is demonstrated in ablation experiments, comparison experiments, and sample size experiments.
Reduced glutamate decarboxylase 1 underlies morphine-promoted lung metastasis of triple-negative breast cancer in mice

Introduction Morphine is commonly used for cancer-related pain management. Long-term morphine use is not only addictive but also has been associated with risk factor for cancer. Methods We intraperitoneally administered morphine to mice for 14 days and then implanted EO771 cells, triple negative breast cancer cells, into their mammary fat pad. After primary tumors were removed on 38th day, a subset of mice were continuously giving saline or morphine until the 68th day. Tumor size, organ metastasis, and tumor RNA expression were analyzed. Results Our results revealed that long-term morphine treatment increased lung metastasis in the triple-negative breast cancer mouse model. To determine cellular pathways responsible for morphine-mediated metastasis, we performed RNA sequencing analysis to compare transcriptional profiles during metastasis. Transcriptional analysis revealed a significant number of genes down-regulated by morphine treatment. Based on pathway analysis, we focused on the novel effect of morphine on down-regulating taurine/hypotaurine biosynthesis. Considering that morphine, droperidol (dopamine receptor antagonist), and naloxone (opioid receptor antagonist) may act through opioid receptor or dopamine receptor, we further demonstrated that taurine reduced EO771 cell invasion caused by morphine, but not by droperidol, or naloxone treatment. In addition, morphine treatment significantly reduced the expression of GAD1, one of the enzymes required for biosynthesis of taurine, whereas droperidol and naloxone did not. Conclusion These novel findings of morphine reduces GAD1 level and taurine reverses invasion suggest that taurine could potentially be employed as a supplement for triple negative breast cancer patients using morphine as pain management. Key Messages Morphine usage has been implicated in modulating immune system and affecting cancer progression. Long-term usage of morphine promotes metastasis of triple negative breast cancer through reducing taurine biosynthesis. These novel findings of morphine reduces GAD1 level and taurine reverses invasion suggest that taurine could potentially be employed as a supplement for triple negative breast cancer patients using morphine as pain management.
“It opened a new door for me”: A qualitative study of forcibly displaced parents’ experiences of an attachment-based parenting program

The aim of the study was to explore forcibly displaced parents’ experiences of how an online attachment-based parenting program (eConnect) impacted their relationships with their teens. Data was collected from four focus group discussions with 28 parents who participated in the eConnect program. Data was analyzed using network thematic analysis. A global theme emerged from the analysis: Strengthened Parent-Teen Relationships. Four underpinning organizing themes described the process through which the parent-teen relationship was strengthened: Knowledge Served as the Foundation for Change, Increased Parental Self-Efficacy, Improved Emotional Attunement Facilitates Dyadic Affect Regulation, and Shifted Power Dynamics and Emerging Mutual Parent-Teen Partnership. Findings suggest that eConnect is promising intervention for strengthening parent-teen relationships and supporting forcibly displaced families.
Mechanics of the stomach: A review of an emerging field of biomechanics

Mathematical and computational modeling of the stomach is an emerging field of biomechanics where several complex phenomena, such as gastric electrophysiology, fluid mechanics of the digesta, and solid mechanics of the gastric wall, need to be addressed. Developing a comprehensive multiphysics model of the stomach that allows studying the interactions between these phenomena remains one of the greatest challenges in biomechanics. A coupled multiphysics model of the human stomach would enable detailed in‐silico studies of the digestion of food in the stomach in health and disease. Moreover, it has the potential to open up unprecedented opportunities in numerous fields such as computer‐aided medicine and food design. This review article summarizes our current understanding of the mechanics of the human stomach and delineates the challenges in mathematical and computational modeling which remain to be addressed in this emerging area.
MMDV: Multipath and MPR based AODV routing protocol

Abstract —The problem of routing in mobile ad hocnetworks is considered as an important issue. In fact,these networks are characterized by multi hop wirelessconnectivity, node mobility, limited power and memoryresources. In this paper we study several possible modi-ﬁcations of AODV[1] routing protocol based on selectedfeatures available in other routing protocols. Simulationresults allowed us to select the two most relevant ones.MMDV is an amelioration of AODV protocol providingfor multipath and MPR based ﬂooding. This protocolconsists of both proactive and reactive components. Ina proactive phase, nodes compute their MPR lists andcompute paths to their two hop neighbors. In a reactivephase, nodes compute two paths for each destination.Simulation results show that MMDV enhance the packetdelivery performance and reduce the overhead. Keywords: ad hoc, routing protocols, node mobility,AODV.I. I NTRODUCTION A mobile ad hoc network is a multi-hop wirelessnetwork without any infrastructure. Ad hoc networks arecharacterized by frequent changes and mobile nodes mayjoin the network, disconnect or move at any time. Theseproblems make the routing problem in ad hoc networksmore difﬁcult than traditional wired networks.In this paper we study several possible modiﬁcationsof AODV[1] routing protocol based on selected featuresavailable in other routing protocols. Simulation resultsallowed us to select the two most relevant ones. More-over, we propose their combination called Multipath andMPR based AODV (MMDV). The rest of this paper is organized as follows: In thesecond section, we present routing protocols in ad hocnetworks. In the third section, we brieﬂy review theAODV protocol and present related works which attemptto improve AODV. Section four describes speciﬁcationand design of our variants. In section ﬁve, we presentthe simulation results followed by their interpretations.Finally, we describe MMDV and analyze its simulationresults.II. R
Interplay of type-I and type-II seesaw in neutrinoless double beta decay in left-right symmetric model

The left-right symmetric models (LRSM) generally include type-I and type-II induced seesaw mass as a hybrid mass for the light-active neutrinos. Assuming a particular form of Dirac-type coupling, the Majorana-type coupling present in the seesaw mass formula can be expressed in terms of low-energy neutrino oscillation observables and vacuum expectation values (vevs) of the scalar fields present in the model. The Majorana-type coupling thus admits eight different solutions by considering the interplay of type-I and type-II terms dominate the light neutrino mass. We study the role of all eight solutions in the lepton number violating neutrinoless double beta decay ($0\nu\beta\beta$) process. In LRSM, the right-handed neutrinos, triplet scalars, and gauge bosons of the left and right sectors act as mediators of new contributions to the $0\nu\beta\beta$ process. As a result, the effective mass of electron neutrino appearing in the decay width would be a function of $v_R$ (vev of the Higgs triplet of the right sector) along with other parameters of the model, through the masses of the new contributions. The energy scale, $v_R$ can be considered as the new physics scale which allows exploring physics beyond the Standard Model. Considering the present and future sensitivity of searches of $0\nu\beta\beta$, we study the role of eight different solutions of the Majorana coupling matrix. In our study, the inverted hierarchy of light neutrino masses is disfavored for all solutions keeping future sensitivity of effective mass in the picture, if the lightest mass of active neutrinos is below $0.001$ eV. Also, our study shows a possibility of new physics contributions saturating the experimental bound on effective mass for $v_R$ in the range of $10$ TeV for two particular solutions of the Majorana coupling matrix.
Analysis of Multispectral Reconnaissance Imagery for Target Detection and Operator Support

This paper describes a method to estimate motion in an image sequence acquired using a multispectral airborne sensor. The purpose of the motion estimation is to align the sequentually acquired spectral bands and fuse them into multispectral images. These multispectral images are then analysed and presented in order to support an operator in an air-to-ground reconnaissance scenario.
Measurements and Review of Failure Mechanisms and Reliability Constraints of 4H-SiC Power MOSFETs Under Short Circuit Events

The reliability of the SiC MOSFET has always been a factor hindering the device application, especially under high voltage and high current conditions, such as in the short circuit events. This paper experimentally reviews the failure mechanisms caused by destructive short circuit impulses, and investigates the degradation patterns of key electrical parameters under repetitive short circuit events. The impact of test parameters on the short circuit reliability of SiC MOSFET has been analyzed. Approaches to characterize the electrical-thermal-mechanical stress during the short circuit period and advanced test methods are highlighted. Finally, the constraints from the standpoint of both manufacturers and users have been presented, including comparison of current SiC MOSFET devices, reliability evaluation of parallel SiC MOSFET devices, reliability improvement of the chip, performance improvement of protection circuits, and reliability assessment of SiC MOSFET devices under application-representative stress.
Tip Growth Defective1 interacts with the cellulose synthase complex to regulate cellulose synthesis in Arabidopsis thaliana

Plant cells possess robust and flexible cell walls composed primarily of cellulose, a polysaccharide that provides structural support and enables cell expansion. Cellulose is synthesised by the Cellulose Synthase A (CESA) catalytic subunits, which form cellulose synthase complexes (CSCs). While significant progress has been made in unravelling CSC function, the trafficking of CSCs and the involvement of post-translational modifications in cellulose synthesis remain poorly understood. In order to deepen our understanding of cellulose biosynthesis, this study utilised immunoprecipitation techniques with CESA6 as the bait protein to explore the CSC and its interactors. We successfully identified the core proteins of the CSC complex and discovered new potential interactors involved in CSC trafficking and the coordination of cell wall synthesis. Moreover, we identified TIP GROWTH DEFECTIVE 1 (TIP1) protein S-acyl transferases (PATs) as an interactor of the CSC complex. We confirmed the interaction between TIP1 and the CSC complex through multiple independent approaches. Further analysis revealed that tip1 mutants exhibited stunted growth and reduced levels of crystalline cellulose in leaves. These findings suggest that TIP1 positively influences cellulose biosynthesis, potentially mediated by its role in the S-acylation of the CSC complex.
The origin of secondary structure transitions and peptide self-assembly propensity in trifluoroethanol-water mixtures

The formation of transient helical intermediates, implicated in the early-stages of amyloid formation in amyloidogenic peptides, is thought to be enhanced by membrane-peptide interactions. Uperin 3.5 is a seventeen-residue antimicrobial, amyloidogenic peptide that forms amyloid in phosphate buffered saline (PBS). The role of 2,2,2-trifluoroethanol (TFE) concentration, a known α-helical stabiliser, in modulating aggregation of Uperin 3.5 peptide in membrane-mimetic TFE:water mixtures was investigated. Thioflavin T (ThT) fluorescence assays showed complete inhibition of aggregation at higher concentrations of TFE (≥ 20% TFE:water v/v). However, a five-to-seven-fold increase in fibrillation kinetics was observed at 10% TFE:water mixtures in comparison to aggregation in a buffer. Further, aggregation in TFE:water mixtures was only observed upon addition of buffer. Interestingly, circular dichroism (CD) spectra showed the appearance of partial helical structures in 10% TFE:water, which transitioned to β-sheet rich structures only after addition of buffer. Microsecond time-scale molecular dynamics (MD) simulations of multiple U3.5 peptides in both salt-free and salt-containing TFE:water mixtures showed that changes in the local environment of peptide residues determined the structural transition and aggregation trajectories for U3.5. Consistent with experiments, the greatest extent of aggregation was observed for low TFE concentration (10% TFE:water simulations), characterised by faster formation of helical intermediates (oligomers). While the presence of 10% TFE efficiently induced partial helical structure in individual U3.5 peptides, it did not impede peptide-peptide interactions, thus enabling peptide aggregation. Addition of salt, screened like-charge repulsion between positively charged residues of different peptides, leading to stronger inter-peptide interactions. Significantly, the presence of salt determined subsequent structural transitions in the helical intermediates; either forming a predominantly α-helical oligomer in salt-free solutions or a β-sheet-rich oligomer in salt-containing solutions.
Head-related transfer functions of rabbits within the front horizontal plane

The head-related transfer function (HRTF) is the direction-dependent acoustic filtering by the head that occurs between a source signal in free-field space and the signal at the tympanic membrane. HRTFs contain information on sound source location via interaural differences of their magnitude or phase spectra and via the shapes of their magnitude spectra. The present study characterized HRTFs for source locations in the front horizontal plane for nine rabbits, which are a species commonly used in studies of the central auditory system. HRTF magnitude spectra shared several features across individuals, including a broad spectral peak at 2.6 kHz that increased gain by 12 to 23 dB depending on source azimuth; and a notch at 7.6 kHz and peak at 9.8 kHz visible for most azimuths. Overall, frequencies above 4 kHz were amplified for sources ipsilateral to the ear and progressively attenuated for frontal and contralateral azimuths. The slope of the magnitude spectrum between 3 and 5 kHz was found to be an unambiguous monaural cue for source azimuths ipsilateral to the ear. Average interaural level difference (ILD) between 5 and 16 kHz varied monotonically with azimuth over ±31 dB despite a relatively small head size. Interaural time differences (ITDs) at 0.5 kHz and 1.5 kHz also varied monotonically with azimuth over ±358 μs and ±260 μs, respectively. Remeasurement of HRTFs after pinna removal revealed that the large pinnae of rabbits were responsible for all spectral peaks and notches in magnitude spectra and were the main contribution to high-frequency ILDs, whereas the rest of the head was the main contribution to ITDs and low-frequency ILDs. Lastly, inter-individual differences in magnitude spectra were found to be small enough that deviations of individual HRTFs from an average HRTF were comparable in size to measurement error. Therefore, the average HRTF may be acceptable for use in neural or behavioral studies of rabbits implementing virtual acoustic space when measurement of individualized HRTFs is not possible.
Understanding natural selection and similarity: Convergent, parallel and repeated evolution

Parallel and convergent evolution offer some of the most compelling evidence for the significance of natural selection in evolution, as the emergence of similar adaptive solutions is unlikely to occur by random chance alone. However, these terms are often employed inconsistently, leading to misinterpretation and confusion, and recently proposed definitions have unintentionally diminished the emphasis on the evolution of similar adaptive solutions. Here, I examine various conceptual frameworks and definitions related to parallel and convergent evolution and propose a consolidated framework that enhances our comprehension of these evolutionary patterns. The primary aim of this framework is to harmonize the concepts of parallel and convergent evolution together with natural selection and the idea of similarity. Both concepts involve the evolution of similar adaptive solutions as a result of environmental challenges. The distinction lies in ancestral phenotypes. Parallel evolution takes place when the ancestral phenotypes (before selection) of the lineages are similar. Convergent evolution happens when the lineages have distinct ancestral phenotypes (before selection). Because an ancestral‐based distinction will inevitably lead to cases where uncertainty in the distinction may arise, the framework includes a general term, repeated evolution, which can be used as a term applying to the evolution of similar phenotypes and genotypes as well as similar responses to environmental pressures. Based on the argument that genetic similarity may frequently arise without selection, the framework posits that the similarity of genetic sequences is not of great interest unless linked to the actions of natural selection or to the origins (mutation, standing genetic variation, gene flow) and locations of the similar sequences.