Miracle-dz/UniFAR-FTUs huggingface dataset:
Implementation of the Periodic in the Finite-Difference Time-Domain Algorithm for FSS Structures

A method for implementing the general Floquet boundary condition in the finite-difference time-domain algo- rithm (FDTD) is presented. The Floquet type of phase shift boundary condition is incorporated into the time-domain analysis by illuminating the structure with a combination of sine and cosine excitations to generate a phasor representation of the solution at each time step. With this approach, the characteristics of periodic structures comprised of arbitrarily shaped inhomo- geneous geometries can be computed for an arbitrary angle of incidence. Theoretical results are compared for various planar frequency selective surfaces (FSS) and for one with a three- dimensional element, e.g., a thick, double, concentric square loop.
Lumbar spine segmentation method based on deep learning

Abstract Aiming at the difficulties of lumbar vertebrae segmentation in computed tomography (CT) images, we propose an automatic lumbar vertebrae segmentation method based on deep learning. The method mainly includes two parts: lumbar vertebra positioning and lumbar vertebrae segmentation. First of all, we propose a lumbar spine localization network of Unet network, which can directly locate the lumbar spine part in the image. Then, we propose a three‐dimensional XUnet lumbar vertebrae segmentation method to achieve automatic lumbar vertebrae segmentation. The method proposed in this paper was validated on the lumbar spine CT images on the public dataset VerSe 2020 and our hospital dataset. Through qualitative comparison and quantitative analysis, the experimental results show that the method proposed in this paper can obtain good lumbar vertebrae segmentation performance, which can be further applied to detection of spinal anomalies and surgical treatment.
Elucidating a locus coeruleus-dentate gyrus dopamine pathway for operant reinforcement

Animals can learn to repeat behaviors to earn desired rewards, a process commonly known as reinforcement learning. While previous work has implicated the ascending dopaminergic projections to the basal ganglia in reinforcement learning, little is known about the role of the hippocampus. Here, we report that a specific population of hippocampal neurons and their dopaminergic innervation contribute to operant self-stimulation. These neurons are located in the dentate gyrus, receive dopaminergic projections from the locus coeruleus, and express D1 dopamine receptors. Activation of D1 + dentate neurons is sufficient for self-stimulation: mice will press a lever to earn optogenetic activation of these neurons. A similar effect is also observed with selective activation of the locus coeruleus projections to the dentate gyrus, and blocked by D1 receptor antagonism. Calcium imaging of D1 + dentate neurons revealed significant activity at the time of action selection, but not during passive reward delivery. These results reveal the role of dopaminergic innervation of the dentate gyrus in supporting operant reinforcement.
Synoptic Reporting in Clinical Placental Pathology: A Preliminary Investigation Into Report Findings and Interobserver Agreement

Introduction: Placental pathology is key for investigating adverse pregnancy outcomes, however, lack of standardization in reporting has limited clinical utility. We evaluated a novel placental pathology synoptic report, comparing its robustness to narrative reports, and assessed interobserver agreement. Methods: 100 singleton placentas were included. Histology slides were examined by 2 senior perinatal pathologists and 2 pathology residents using a synoptic report (32 lesions). Historical narrative reports were compared to synoptic reports. Kappa scores were calculated for interobserver agreement between senior, resident, and senior vs resident pathologists. Results: Synoptic reporting detected 169 (51.4%) lesion instances initially not included in historical reports. Amongst senior pathologists, 64% of all lesions examined demonstrated fair-to-excellent agreement (Kappa ≥0.41), with only 26% of Kappas ≥0.41 amongst those examined by resident pathologists. Well-characterized lesions (e.g., chorioamnionitis) demonstrated higher agreement, with lower agreement for uncommon lesions and those previously shown to have poor consensus. Discussion: Synoptic reporting is one proposed method to address issues in placenta pathology reporting. The synoptic report generally identifies more lesions compared to the narrative report, however clinical significance remains unclear. Interobserver agreement is likely related to differential in experience. Further efforts to improve overall standardization of placenta pathology reporting are needed.
The lymph node yield in the initial lateral neck dissection predicts recurrence in the lateral neck of papillary thyroid carcinoma: a revision surgery cohort study

Background: This study aimed to evaluate the relationship between lateral lymph node yield (LLNY) and the ratio of lateral positive lymph nodes to lymph node yield (LPLR) from initial lateral neck dissection (LND) in patients with papillary thyroid carcinoma (PTC), as well as the risk of recurrence in patients undergoing LND reoperations. Methods: This retrospective cohort study enrolled patients with PTC who underwent revision LND between 1 January 2012, and 31 December 2021. The initial and revised clinical data were retrieved. Patient demographics, clinicopathological features, clinical records, and follow-up information were also reviewed. LLNY and LPLR were determined during the initial LND. Results: In total, 156 patients with PTC were included in this study, with a median follow-up of 36.5 months; 107 had recurrent lateral neck disease. The optimal LLNY and LPLR cutoff values for recurrent/persistent disease were 24.5 and 32.74%, respectively. The high-risk group (LLNY<25) had the lowest recurrence-free survival rate compared with to moderate-risk group (LLNY≥25, LPLR≥32.74%) and low-risk group (LLNY≥25, LPLR<32.74%) (P<0.001). The moderate-risk group had lower recurrence-free survival than the low-risk group. Multivariate analysis revealed that an LLNY less than 25 in the initial LND was an independent risk factor for recurrence/persistence of lateral neck (P<0.001). Conclusions: This study identified that LLNY and LPLR were associated with recurrence/persistence in PTC patients at the time of revision surgery was performed.
Whole transcriptome sequencing reveals core genes related to spermatogenesis in Bactrian camels

Abstract Bactrian camels survive and reproduce better in extreme climatic conditions than other domestic animals can. However, the reproductive efficiency of camels under their natural pastoral conditions is low. Several factors affect mammalian reproductive performance, including testicular development, semen quality, libido, and mating ability. Testis is a main reproductive organ of the male and is responsible for producing spermatozoa and hormones. However, our understanding of the expression patterns of the genes in camel testis is minimal. Thus, we performed total RNA-sequencing to investigate the gene expression pattern. As a result, 1,538 differential expressed mRNAs (DEmRNAs), 702 differential expressed long non-coding RNAs (DElncRNAs), and 61 differential expressed microRNAs (DEmiRNAs) were identified between pubertal and adult Bactrian camel testes. Then the genomic features, length distribution, and other characteristics of the lncRNAs and mRNAs in the Bactrian camel testis were investigated. Target genes of the DEmiRNAs and DEmRNAs were further subjected to gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. Genes, such as AMHR2, FGF1, ACTL7A, GATA4, WNT4, ID2, LAMA1, IGF1, INHBB, and TLR2, were mainly involved in the TGF-β, PI3K-AKT, Wnt, GnRH, and Hippo signaling pathways which relate to spermatogenesis. Some of the DEmiRNAs were predicted to be associated with numerous DElncRNAs and DEmRNAs through competing endogenous RNA (ceRNA) regulatory network. At last, the candidate genes were validated by RT-qPCR, dual fluorescent reporter gene, and a fluorescence in situ hybridization (FISH) assay. This research provides high-throughput RNA sequencing data of the testes of Bactrian camels across different developmental stages. It lays the foundation for further investigations on lncRNAs, miRNAs, and mRNAs that involved in Bactrian camel spermatogenesis.
Potential Sources of Moral Injury for Healthcare Workers in Forensic and Psychiatric Settings: A Systematic Review and Meta-ethnography

The current research examines potentially morally injurious events (PMIEs) faced by healthcare professionals working in forensic and psychiatric environments. A systematic literature review was conducted to identify peer-reviewed articles reporting on sources of moral injury or similar concepts (e.g., moral distress) for healthcare workers in such settings. Thirty articles were included and analyzed using a meta-ethnographic approach. Synthesis yielded three third-order factors, each reflecting a moral dichotomy: (a) “between profession and system,” (b) “between relations with patients and relations with others,” and (c) “between principles and practices. ” Findings illustrated the hierarchical relationships between dichotomies, with discordance between values of the healthcare profession and features of the healthcare system providing the conditions for PMIEs to occur. The review advances conceptual understandings of PMIEs in forensic and psychiatric settings, illustrating the multilayered dimensions within which morally injurious events are experienced. Theoretical and practical implications are offered that may support the early detection and prevention of moral injury in healthcare professionals.
EXPLORING THE DOMAIN OF APPLICABILITY OF SIMULATED 2D RIGID BODY DYNAMICAL SYSTEMS

In many common robotic manipulation tasks, the manipulation of nominally rigid bodies is a primary goal. Establishing a stable grasp of an object between two or more fingers is a common scenario in grasping applications. Other tasks that involve pushing, pulling, or caging of objects are also typical tasks in robotic manipulation. Often, such tasks as these fail due in part to a lack of understanding of the system’s dynamics. One approach to increasing the success rate of manipulation tasks involves executing a dynamical simulation of a manipulation trajectory before attempting it. Once simulated, the simulated system may provide useful information regarding the degree of success of the manipulation trajectory. If the simulation represents the dynamics of the physical system accurately, it may be used to reliably design successful manipulation actions. In this thesis, I will be nominally focused on exploring the space in which a planar physical system composed of rigid bodies may be accurately simulated by a state-of-the-art planar rigid body simulator to within a certain tolerance. We will denote this space as the domain of applicability. This realm represents the space of system conditions in which the simulated system may be used to provide useful insight into the dynamics of the physical system it represents, without conducting physical experiments. We will conduct this search with heavy emphasis on grasping scenarios; i.e. scenarios in which our bodies represent a hand and object being manipulated. To investigate this space, we will first determine the optimal set of model parameters for a set of physical experiments. This is formulated as an optimization problem, in which our objective function is an error metric defining the difference between simulated and experimental system trajectories for one set of system parameters. We will refer to this process as calibration. Once found, we calculate the error between our simulated and experimental results using this set of optimal parameters. If the error is less than a certain threshold for all the experiments in
Delirium and Previous Psychiatric History Independently Predict Poststroke Posttraumatic Stress Disorder

Objectives: Delirium is an acute brain dysfunction that has been correlated with adverse mental health outcomes, such as depression and posttraumatic stress disorder (PTSD). However, delirium has not been studied in relation to mental health outcomes after cerebrovascular events. This study aimed to examine the incidence of PTSD after nontraumatic intracerebral hemorrhage (ICH) and identify new predictors of poststroke PTSD symptoms. Methods: Clinical data were collected from 205 patients diagnosed with nontraumatic ICH. Demographics and hospital course data were examined. Univariate and multivariable correlational analyses were performed to determine predictors of PTSD symptoms. PTSD symptoms were assessed using PTSD checklist—civilian version (PCL-C) scores. Results: Diagnostic criteria for a positive PTSD screen (PCL-C score ≥44) were met by 13.7%, 20.2%, and 11.6% of nontraumatic patients with ICH at 3, 6, and 12 months, respectively. On univariate analysis, younger age, female sex, unemployed, and in-hospital delirium were correlated with higher PCL-C scores. In multivariable models, younger age, female sex, unemployed, in-hospital delirium, and a previous anxiety or depression diagnosis were associated with higher PCL-C scores at different follow-up times. Modified Rankin Scale scores were also positively correlated with PCL-C scores at each time point. Conclusions: Delirium, previous psychiatric history, younger age, female sex, and unemployment status were found to be associated with a greater degree of posthemorrhagic stroke PTSD symptoms. More significant PTSD symptoms were also correlated with greater functional impairment. A better understanding of patient susceptibility to PTSD symptoms may help providers coordinate earlier interventions.
Fiber-based optrode with microstructured fiber tips for controlled light delivery in optogenetics

Objective. Optogenetic modulation of neuronal activity requires precise and flexible light delivery to deep brain regions. Flat cleaved optical fibers combined with electrodes are widely used in implantable optogenetic devices for light delivery and electrical monitoring of neural activity. However, the flat fiber tip geometry induces serious tissue damage upon insertion, and makes it difficult to adjust and control the spatial extent of illumination within the brain. With their strongly increased tissue-compatibility and the possibility of spatial illumination control, tapered fibers outperform cleaved fibers in targeted neural photo-stimulation. Approach. In this work, we describe our device concept, and present a novel approach for reproducible fabrication of tapered fiber tips via grinding. Furthermore, we characterize recording electrodes by commenting data obtained from electrochemical impedance spectroscopy (EIS). We also investigate the impact of different cone angles (14°, 30°, 60°, and 90°) on the illumination profile and optical throughput. Main results. We fabricated a fiber-based optrode with cone tip and two deposited electrodes. Custom grinding setup for fabrication of tapered fiber tips with various cone angles is developed as a part of our research. Microscope images showed very good optical quality of cone tips. The results of transmitted optical power measurements performed with integrating sphere suggest that, compared to the flat cleaved optical fiber, transmitted power decreases exponentially with cone angle reduction. Obtained emission profiles (as induced fluorescence in Rhodamine 6G water solution) indicate very strong effect of cone angle on shape and size of illumination volume. Results obtained from EIS show the effect of electrode size on its recording capability. Significance. Compared to optrodes with flat cleaved optical fiber, the demonstrated fiber-based optrode with cone tip allows controlled light delivery with reduced invasiveness. The possibility to fabricate reproducible fiber tips with various cone angles enables control of light delivery in optogenetic experiment. The results presented here give neuroscientists the possibility to choose the appropriate tissue-compatible cone geometry depending on their stimulation requirements.
Fiducial inference for Birnbaum-Saunders distribution

In this paper, we consider fiducial inference for the unknown parameters of the Birnbaum-Saunders distribution. Two generalized fiducial distributions of the parameters are obtained. One is based on the inverse of the structural equation, and the fiducial estimates of the parameters are obtained by a simulation method. The other is based on the method of [Hannig J. Generalized fiducial inference via discretization. Stat. Sinica. 2013;23:489–514], then we use adaptive rejection Metropolis sampling to get the fiducial estimates. We compare the fiducial estimates with the maximum likelihood estimates and Bayesian estimates by simulations. Two real data sets are analysed for illustration.
Initial diagnostic impressions of trainees during autism evaluations: High specificity but low sensitivity

Reducing the age of first autism diagnosis facilitates access to critical early intervention services. A current “waitlist crisis” for autism diagnostic evaluation thus demands that we consider novel use of available clinical resources. Previous work has found that expert autism clinicians can identify autism in young children with high specificity after only a brief observation; rapid identification by non‐experts remains untested. In the current study, 252 children ages 12–53 months presented for a comprehensive autism diagnostic evaluation. We found that junior clinicians in training to become autism specialists (n = 29) accurately determined whether or not a young child would be diagnosed with autism in the first five minutes of the clinic visit in 75% of cases. Specificity of brief observations was high (0.92), suggesting that brief observations may be an effective tool for triaging young children toward autism‐specific interventions. In contrast, the lower negative predictive value (0.71) of brief observations, suggest that they should not be used to rule out autism. When trainees expressed more confidence in their initial impression, their impression was more likely to match the final diagnosis. These findings add to a body of literature showing that clinical observations of suspected autism should be taken seriously, but lack of clinician concern should not be used to rule out autism or overrule other indicators of likely autism, such as parent concern or a positive screening result.
Inequalities in Consumption Expenditure on Pharmaceuticals: Evidence from Malaysia

Pharmaceuticals play an important role in health improvements. This study is the first of its kind to examine the influences of household heads’ sociodemographic characteristics and household profiles on pharmaceuticals expenditure among households of different income levels. The country of interest is a fast-growing developing country. Data from the Malaysian Household Expenditure Surveys 2014 and 2016 were used in the pooled cross-sectional analyses. Double-hurdle models were used to analyze consumption and amount decisions of pharmaceuticals. Analyses stratified by income were conducted. Results showed that households headed by younger adults (<60 years), males, less educated individuals, Bumiputera, and divorced/widowed adults were less likely to consume and spent less on pharmaceuticals compared with households headed by older adults (≥60 years), females, more educated individuals, non-Bumiputera, and single adults. These differentials varied across income groups. In conclusion, household heads’ age, gender, educational levels, ethnicity, marital status, and household profiles are important determining factors of expenditure on pharmaceuticals among low-, middle- and high-income households.
Interoception: Where do we go from here?

In recent years, there has been a significant rise in interest in interoception, the processing of internal bodily signals. This interest has been coupled by increased concerns regarding the measurement and conceptualisation of interoception. Focusing on cardiac interoceptive accuracy, I outline what I believe to be the most pressing issues in the field of interoception—specifically the continued reliance on the heartbeat counting task. I then provide an overview of what I believe to be more general limitations concerning how we measure and conceptualise individual differences in interoception and suggestions for a way forward. Specifically, I believe that by moving beyond single measurements, establishing optimal levels of interoceptive accuracy, and refocusing from accuracy to propensity, we may be able to uncover the real-life relevance of interoceptive abilities.
“Selecting the right tool for the job” a narrative overview of experimental methods used to measure or estimate active and passive drag in competitive swimming

ABSTRACT Free-swimming performance depends strongly on the ability to develop propulsive force and minimise resistive drag. Therefore, estimating resistive drag (passive or active) may be important to understand how free-swimming performance can be improved. The purpose of this narrative overview was to describe and discuss experimental methods of measuring or estimating active and passive drag relevant to competitive swimming. Studies were identified using a mixed-model approach comprising a search of SCOPUS and Web of Science data bases, follow-up of relevant studies cited in manuscripts from the primary search, and additional studies identified by the co-authors based on their specific areas of fluid dynamics expertise. The utility and limitations of active and passive drag methods were critically discussed with reference to primary research domains in this field, ‘swimmer morphology’ and ‘technique analysis’. This overview and the subsequent discussions provide implications for researchers when selecting an appropriate method to measure resistive forces (active or passive) relevant to improving performance in free-swimming.
Advanced simulation model for IPM motor drive with considering phase voltage and stator inductance

ABSTRACT This paper proposes an advanced simulation model of driving system for Interior Permanent Magnet (IPM) BrushLess Direct Current (BLDC) motors driven by 120-degree conduction method (two-phase conduction method, TPCM) that is widely used for sensorless control of BLDC motors. BLDC motors can be classified as SPM (Surface mounted Permanent Magnet) and IPM motors. Simulation model of driving system with SPM motors is simple due to the constant stator inductance regardless of the rotor position. Simulation models of SPM motor driving system have been proposed in many researches. On the other hand, simulation models for IPM driving system by graphic-based simulation tool such as Matlab/Simulink have not been proposed. Simulation study about driving system of IPMs with TPCM is complex because stator inductances of IPM vary with the rotor position, as permanent magnets are embedded in the rotor. To develop sensorless scheme or improve control performance, development of control algorithm through simulation study is essential, and the simulation model that accurately reflects the characteristic of IPM is required. Therefore, this paper presents the advanced simulation model of IPM driving system, which takes into account the unique characteristic of IPM due to the position-dependent inductances. The validity of the proposed simulation model is validated by comparison to experimental and simulation results using IPM with TPCM control scheme.