Miracle-dz/UniFAR-FTUs huggingface dataset:
The acceptance and attitudes towards using assistive technology for people with stroke in Jordan: caregivers’ perspectives

ABSTRACT The aim of this study is to evaluate the acceptance and attitudes toward assistive technology (AT) for people with stroke from their caregivers’ perspectives in Jordan. Also, this study further validates the Unified Theory of Acceptance and Use of Technology (UTAUT) questionnaire. This is a cross-sectional study that includes a three-sections survey: the first section contains demographic data, the second section includes the Unified Theory of Acceptance and Use of Technology (UTAUT) questionnaire, and the third section consists of two optional open-ended questions. Among 123 caregivers of people with stroke over 18 years of age who participated in this study, 23% were male. The findings indicate a moderate to high acceptance of using AT for stroke survivors, confirm the validity and reliability of the UTAUT questionnaire, and clarify novel issues regarding AT based on the caregivers’ perspectives.
The needs of the many: Exploring associations of personality with third-party judgments of public health-related utilitarian rule violations

Safeguarding the rights of minorities is crucial for just societies. However, there are conceivable situations where minority rights might seriously impede the rights of the majority. Favoring the minority in such cases constitutes a violation of utilitarian principles. To explore the emotional, cognitive, and punitive responses of observers of such utilitarian rule transgressions, we conducted an online study with 1004 participants. Two moral scenarios (vaccine policy and epidemic) were rephrased in the third-party perspective. In both public health-related scenarios, the protagonist opted against the utilitarian option, which resulted in more fatalities in total, but avoided harm to a minority. Importantly, in vaccine policy, members of the minority cannot be identified beforehand and thus harm to them would have been rather accidental. Contrariwise, in epidemic, minority members are identifiable and would have needed to be deliberately selected. While the majority of participants chose not to punish the scenarios’ protagonists at all, 30.1% judged that protecting the minority over the interests of the majority when only accidental harm would have occurred (vaccine policy) was worthy of punishment. In comparison, only 11.2% opted to punish a protagonist whose decision avoided deliberately selecting (and thus harming) a minority at the cost of the majority (epidemic). Emotional responses and appropriateness ratings paralleled these results. Furthermore, complex personality × situation interactions revealed the influence of personality features, i.e., trait psychopathy, empathy, altruism, authoritarianism, need for cognition and faith in intuition, on participants’ responses. The results further underscore the need to consider the interaction of situational features and inter-individual differences in moral decisions and sense of justice.
CATER: Combined Animal Tracking & Environment Reconstruction

Quantifying the behavior of small animals traversing long distances in complex environments is one of the most difficult tracking scenarios for computer vision. Tiny and low-contrast foreground objects have to be localized in cluttered and dynamic scenes as well as trajectories compensated for camera motion and drift in multiple lengthy recordings. We introduce CATER, a novel methodology combining an unsupervised probabilistic detection mechanism with a globally optimized environment reconstruction pipeline enabling precision behavioral quantification in natural environments. Implemented as an easy to use and highly parallelized tool, we show its application to recover fine-scale motion trajectories, registered to a high-resolution image mosaic reconstruction, of naturally foraging desert ants from unconstrained field recordings. By bridging the gap between laboratory and field experiments, we gain previously unknown insights into ant navigation with respect to motivational states, previous experience, and current environments and provide an appearance-agnostic method applicable to study the behavior of a wide range of terrestrial species under realistic conditions.
Precise Ionospheric Determination and its Application to Real-Time GPS Ambiguity Resolution

The influence of the ionosphere is one of the main problems in the real-time ambiguity resolution for the carrier phase GPS data in radionavigation, especially with high geomagnetic activity or close to the next Solar Maximum at year 2000. Therefore, it is important to have a precise estimation of the ionospheric delays. In the first part of this paper we present a comparison at real-time mode, and using only the carrier phase, of the tomographic model with the traditional 1 fixed height layer model, and it is shown the reduction of the error of the absolute, single difference and double differenced ionospheric corrections. Quiet geomagnetic conditions are simulated with the International Reference Ionosphere model, with real geometry for a network of stations at distances of 400-1000 km in NorthAmerica. In the second part we perform an assessment of the proposed real-time tomographic model, feed with real carrier phase data only, and in three situations with different geomagnetic activity. In the moderate and high activity scenarios, the resolution of the widelane double differenced ambiguities is successful for the greatest part of cases (95% for elevations greater than 20 degrees) when the tomographic ionospheric correction is included. In the storm scenario (Kp ' 8), the results are poorest (60%) at times with highest electron content variations (5 TECU in 2 minutes), but they are better than in the case of neglecting the double difference ionospheric correction.
Adaptation of Relined Fiber Post Using Discontinuous Short Fiber-Reinforced Resin Composite to Restore Weakened Endodontically-Treated Premolars

Abstract Objective This study aimed to investigate the effect of relining prefabricated fiber-reinforced composite (FRC) posts using bulk-fill, flowable, discontinuous short fiber-reinforced composite (SFRC) on intracanal adaptation in weakened endodontically-treated premolar teeth. Materials and Methods Forty extracted human premolar teeth were selected and randomly allocated to five groups ( n = 8) according to the canal preparation method and restorative technique after endodontic treatment: Group 1 (control): nonflared, closed apex root canals; group 2, 4: flared, open-apex root canals; group 3, 5: flared, closed apex root canals. Groups 1 to 3 were restored with standard RelyX fiber post size #1, while groups 4 and 5 were restored with customized RelyX fiber post size #1 and relined with bulk-fill flowable SFRC (everX Flow, GC, Tokyo, Japan). To evaluate intracanal adaptation, the empty root of each sample with the corresponding fiber post (standard or customized) inserted was measured twice using a micro-digital scale and the average value was calculated. The post was then removed, followed by the insertion of a light body polyvinyl siloxane (PVS) impression material into the canal, followed by reinsertion of the post and removal of excess material once the PVS was set. Finally, the sample weight was recorded, and the data were analyzed using one-way analysis of variance and the Bonferroni post hoc test ( p -value = 0.05). Results A statistically significant difference ( p < 0.05) in PVS material weight was identified between the groups. Group 1 (control) had the lightest weight of PVS material, followed by groups restored with customized fiber posts (groups 4 and 5) and standard fiber posts (groups 2 and 3). Conclusion Anatomically-customized fiber posts with bulk-fill flowable SFRC provided better intracanal adaptation compared with standard fiber posts in teeth with compromised root canals.
The Role of Stress in Recurrent Aphthous Stomatitis

Abstract Objectives This study aimed to determine the role of stress in recurrent aphthous stomatitis. Stress was examined with the Perceived Stress Scale and cortisol levels; meanwhile, recurrent aphthous stomatitis was assessed with the duration of the lesion. Materials and Methods This was a cross-sectional analytical study conducted at Oral Medicine Installation, Universitas Sumatera Utara Dental Hospital, and Prodia Laboratory, Medan. The subjects were 50 patients with minor recurrent aphthous stomatitis, without systemic disease, who did not take systemic drugs or use orthodontic appliances. The diagnosis of recurrent aphthous stomatitis was established with anamnesis and clinical examination. Stress was examined by filling out the Perceived Stress Scale questionnaire and blood tests for serum cortisol levels. Statistical analysis The data were analyzed using the Fisher test and Mann–Whitney U test. Results This study showed no significant relationship between the Perceived Stress Scale category and recurrent aphthous stomatitis, with a p -value of 0.392. This study also showed no significant relationship between blood cortisol level and recurrent aphthous stomatitis with a p -value of 1.000. Conclusion Stress may play an important role in recurrent aphthous stomatitis. However, this study did not show any difference in stress examined through the Perceived Stress Scale and cortisol levels based on the duration of recurrent aphthous stomatitis.
Modes of Technology Accumulation, Total Factor Productivity and Indian Manufacturing Sector: Firm-Level Analysis

Accumulation of technology has largely been acknowledged as an important factor determining productivity of the manufacturing firms. However, there are different domestic and foreign means of technology spillover that lead to its accumulation leading industry specific technological complexity. In the past, researchers have examined the process of technology accumulated through various channels and also their impact on productivity of the manufacturing sector. Nevertheless, there is a dearth of literature for a detailed industry specific analysis in this direction. In an attempt to fill this gap, the present study provides a detailed micro level analysis regarding the impact of various channels of technology accumulation on productivity of the manufacturing firms especially taking into consideration their technology intensity. It was found that at the aggregate level, the impact of stock of embodied and disembodied imported technology is positive on productivity of the manufacturing firms whereas the impact of domestic technology is found to be negative and significant. However, results at the disaggregated level depict inter sectoral variation regarding the impact of various channels of technology accumulation on the productivity of the different manufacturing firms.
Creation and manipulation of quantum states in nanostructures

Nanostructures are promising building blocks for quantum technologies due to their reproducible nature and ability to self-assemble into complex structures. However, the need to control these nanostructures represents a key challenge. Hence, this thesis investigates the manipulation and creation of quantum states in certain nanostructures. The results of this thesis can be applied to quantum information processing and to extremely sensitive magnetic-field measurements. In the first research chapter, we propose and examine methods for entangling two (remote) nuclear spins through their mutual coupling to a transient optically excited electron spin. From our calculations we identify the specific molecular properties that permit high entangling power gates for different protocols. In the next research chapter, we investigate another method to create entanglement; this time between two remote electronic spins. This method uses a very sensitive magnetic-field sensor based on a crystal defect that allows the detection of single magnetic moments. The act of sensing the local field constitutes a two-qubit projective measurement. This entangling operation is remarkably robust to imperfections occurring in an experiment. The third research chapter presents an augmented sensor consisting of a nitrogen-vacancy centre for readout and an `amplifier' spin system that directly senses tiny local magnetic fields. Our calculations show that this hybrid structure has the potential to detect magnetic moments with a sensitivity and spatial resolution far beyond that of a sensor based on only a nitrogen-vacancy centre, and indeed this may be the physical limit for sensors of this class. Finally, the last research chapter investigates measurements of magnetic-field strength using an ensemble of spin-active molecules. Here, we describe a quantum strategy that can beat the common standard strategy. We identify the conditions for which this is possible and find that this crucially depends on the decoherence present in the system.
Effect of the interaction between advanced maternal age and pre-pregnancy BMI on pre-eclampsia and GDM in Central China

Introduction To investigate the independent and combined effects of advanced maternal age and pre-pregnancy body mass index (BMI) on the risk of pre-eclampsia and gestational diabetes mellitus (GDM). Research design and methods Logistic regression models were used to estimate the OR and 95% CIs of pre-eclampsia and GDM with advanced maternal age and pre-pregnancy BMI, respectively, and the interaction between advanced maternal age and pre-pregnancy BMI. We also used causal mediation analysis to assess the mediating role of pre-pregnancy BMI on maternal age–pre-eclampsia/GDM associations. Results In this study, 788 cases (2.31%) were diagnosed with pre-eclampsia and 5430 cases (15.92%) were diagnosed with GDM. We found that advanced maternal age was associated with a higher risk for pre-eclampsia and GDM, with adjusted ORs (aORs) of 1.74 (95% CI 1.49–2.05) and 1.76 (95% CI 1.65–1.89) after adjusting for potential confounders, respectively. In addition, maternal pre-pregnancy overweight/obesity was associated with the risk of pre-eclampsia and GDM, with the corresponding aORs of 3.64 (95% CI 3.12–4.24) and 1.71 (95% CI 1.60–1.85), respectively. We also observed the interaction between maternal age and pre-pregnancy BMI for the risk of pre-eclampsia/GDM (all p for interaction <0.001). In the mediating effect analysis, we found that maternal pre-pregnancy BMI mediated the associations between maternal age and the development of pre-eclampsia and GDM. Conclusions Advanced maternal age and pre-pregnancy BMI were respectively associated with the risk of pre-eclampsia/GDM, and there was an interaction between the two risk factors. In addition, we found that pre-pregnancy BMI served as a mediator of the association between advanced maternal age and the risk of pre-eclampsia/GDM, providing an essential target for the prevention of maternal overweight/obesity.
Modeling Word Importance in Conversational Transcripts: Toward improved live captioning for Deaf and hard of hearing viewers

Despite the recent improvements in automatic speech recognition (ASR) systems, their accuracy is imperfect in live conversational settings. Classifying the importance of each word in a caption transcription can enable evaluation metrics that best reflect Deaf and Hard of Hearing (DHH) readers’ judgment of the caption quality. Prior work has proposed using word embeddings, e.g., word2vec or BERT embeddings, to model word importance in conversational transcripts. Recent work also disseminated a human-annotated word importance dataset. We conducted a word-token level analysis on this dataset and explored Part-of-Speech (POS) distribution. We then augmented the dataset with POS tags and reduced the class imbalance by generating 5% additional text using masking. Finally, we investigated how various supervised models learn the importance of words. The best performing model trained on our augmented dataset performed better than prior models. Our findings can inform the design of a metric for measuring live caption quality from DHH users’ perspectives.
Measuring the perception and metacognition of time

The ability of humans to identify and reproduce short time intervals (in the region of a second) may be affected by many factors ranging from the gender of the individual observer, through the attentional state, to the precise spatiotemporal structure of the stimulus. The relative roles of these very different factors are a challenge to describe and define; several methodological approaches have been used to achieve this to varying degrees of success. Here we describe a new paradigm affording not only a first-order measurement of the perceived duration of an interval but also a second-order metacognitive judgement of perceived time. This approach, we argue, expands the form of the data generally collected in duration-judgements and allows more detailed comparison of psychophysical behaviour to the underlying theory. We also describe a measurement model which provides estimates of the variability of the temporal estimates and the metacognitive judgments allowing comparison to an ideal observer. We fit the model to data collected for judgements of 750ms (bisecting 1500ms) and 1500ms (bisecting 3000ms) intervals across three stimulus modalities (Visual, Audio & Audiovisual). This enhanced form of data on a given interval judgement and the ability to track its progression on a trial-by-trial basis offers a way of looking at the different roles that subject-based, task-based and stimulus-based factors have on the perception of time.
Neural Extracellular Matrix Remodeling Signatures in Genetic and Acquired Mouse Models of Epilepsy

Epilepsies are multifaceted neurological disorders characterized by abnormal brain activity, e.g., caused by imbalanced synaptic excitation and inhibition. The neural extracellular matrix (ECM) is dynamically modulated by physiological and pathophysiological activity and critically involved in controlling the brain’s excitability. We used different epilepsy models, i.e. mice lacking the presynaptic scaffolding protein Bassoon at excitatory, inhibitory or all synapse types as genetic models for rapidly generalizing early-onset epilepsy, and intra-hippocampal kainate injection, a model for acquired temporal lobe epilepsy, to study the relationship between epileptic seizures and ECM composition. Electroencephalogram recordings revealed Bassoon deletion at excitatory or inhibitory synapses having diverse effects on epilepsy-related phenotypes. While constitutive Bsn mutants and GABAergic neuron-specific knockouts (BsnDlx5/6cKO) displayed severe epilepsy with more and stronger seizures than kainate-injected animals, mutants lacking Bassoon solely in excitatory forebrain neurons (BsnEmx1cKO) showed only mild impairments. By semiquantitative immunoblotting and immunohistochemistry we show model-specific patterns of neural ECM remodeling, and we also demonstrate significant upregulation of the ECM receptor CD44 in null and BsnDlx5/6cKO mutants. ECM-associated WFA-binding chondroitin sulfates were strongly augmented in seizure models. Strikingly, Brevican, Neurocan, Aggrecan and link protein Hapln1 levels reliably predicted seizure properties across models, suggesting a link between ECM state and epileptic phenotype.
Cysteine tRNA acts as a stop codon readthrough-inducing rti-tRNA in the human HEK293T cell line

Under certain circumstances, any of the three termination codons can be read through by its near-cognate tRNA; i.e. a tRNA whose two out of three anticodon nucleotides base-pair with those of the stop codon. Unless programmed to synthetize C-terminally extended protein variants with expanded physiological roles, readthrough represents an undesirable translational error. On the other side of a coin, a significant number of human genetic diseases is associated with the introduction of nonsense mutations (premature termination codons - PTCs) into coding sequences, where stopping is not desirable. Here, the tRNA’s ability to induce readthrough opens up the intriguing possibility of mitigating the deleterious effects of PTCs on human health. In yeast, the UGA and UAR stop codons were described to be read through by four readthrough-inducing rti-tRNAs – tRNATrp and tRNACys, and tRNATyr and tRNAGln, respectively. The readthrough-inducing potential of tRNATrp and tRNATyr was also observed in human cell lines. Here, we investigated the readthrough-inducing potential of human tRNACys in the HEK293T cell line. The tRNACys family consists of two isoacceptors, one with ACA and the other with GCA anticodons. We selected nine representative tRNACys isodecoders (differing in primary sequence and expression level) and tested them using dual luciferase reporter assays. We found that at least two tRNACys can significantly elevate UGA readthrough when overexpressed. This indicates a mechanistically conserved nature of rti-tRNAs between yeast and human, supporting the idea that they could be utilized in the PTC-associated RNA therapies.
Growth consequences of the inhomogeneous organization of the bacterial cytoplasm

In many bacteria, translating ribosomes are excluded from the nucleoid, while amino-acid and energy-supplying metabolic enzymes spread evenly throughout the cytoplasm. Here we show with time-lapse fluorescence microscopy that this inhomogeneous organisation of the cytoplasm can cause single Escherichia coli cells to experience an imbalance between biosynthesis and metabolism when they divide, resulting in cell size-dependent growth rate perturbations. After division, specific growth rate and ribosome concentration correlates negatively with birthsize, and positively with each other. These deviations are compensated during the cell-cycle, but smaller-than-average cells do so with qualitatively different dynamics than larger-thanaverage cells. A mathematical model of cell growth, division and regulation of biosynthetic and metabolic resource allocation reproduces our experimental findings, suggesting a simple mechanism through which long-term growth rate homeostasis is maintained while heterogeneity is continuously generated. This work shows that the life of single bacterial cells is intrinsically out-of-steady-state, dynamic and reliant on cytoplasmic organization. Popular summary Classical, population-level studies of the metabolism and growth of bacteria indicate that the average cell in a growing population operates at steady state and can be viewed as an homogeneous ‘bag of enzymes’. Here we show that this view does not capture the lives of single cells. At birth, they are perturbed from the steady state of their mother cell after which they need their entire cell cycle to return to this state by active regulation. Then they divide and their daughters are perturbed again; a never ending cycle that is inescapable and akin to a Sisyphean task. This behaviouremerges from the delicate interplay of the intrinsic randomness of (uneven) cell division, the inhomogeneous localisation of metabolic and ribosomal proteins in the cell, unbalanced metabolism, and compensatory steering of gene expression.