Miracle-dz/UniFAR-FTUs huggingface dataset:
Transcriptional regulation in the development and dysfunction of neocortical projection neurons

Glutamatergic projection neurons generate sophisticated excitatory circuits to integrate and transmit information among different cortical areas, and between the neocortex and other regions of the brain and spinal cord. Appropriate development of cortical projection neurons is regulated by certain essential events such as neural fate determination, proliferation, specification, differentiation, migration, survival, axonogenesis, and synaptogenesis. These processes are precisely regulated in a tempo-spatial manner by intrinsic factors, extrinsic signals, and neural activities. The generation of correct subtypes and precise connections of projection neurons is imperative not only to support the basic cortical functions (such as sensory information integration, motor coordination, and cognition) but also to prevent the onset and progression of neurodevelopmental disorders (such as intellectual disability, autism spectrum disorders, anxiety, and depression). This review mainly focuses on the recent progress of transcriptional regulations on the development and diversity of neocortical projection neurons and the clinical relevance of the failure of transcriptional modulations.
Prevalence of Feeding Problems in Children and Associated Factors—A Cross-Sectional Study among Polish Children Aged 2–7 Years

Food neophobia is an aversion to eating or a reluctance to try unfamiliar or new foods. From an evolutionary perspective, this behaviour may minimise the risk of consuming foods that are harmful to health. However, such aversion causes food monotony, which may result in nutritional deficiencies. This study aimed to assess the prevalence of feeding problems among Polish children aged 2–7 years using the Montreal Children’s Hospital Feeding Scale and to investigate the correlation between age, gender, mode of feeding in infancy, including complementary feeding, and the prevalence of feeding difficulties in the study group of children. Material and method: The study group consisted of 585 children: 299 boys (51.11%) and 286 girls (48.89%). The study was conducted using a questionnaire-based method, with an indirect survey technique using a web-based form (CAWI). The research tool used was the Montreal Children’s Hospital-Pediatric Feeding Program. Results: Groups with the lowest risk feeding problems, risk 0, comprised 445 children (76.06%); group 1, middle difficulties, 59 children (10.08%); group 2, moderate difficulties, 40 children (6.84%); and group 3, most difficulties, 40 children (7.01%). The mean MCH-FS score for the entire study group was calculated and was 37.29 points ± 12.02; for 2 year olds, 35.69 points; for 3 year olds, 37.41 points; for 4 year olds, 38.31 points; for 5 year olds, 38.46 points; for 6 year olds, 37.95 points; and for 7 year olds, 36.06 points. The mean value of the MCH-FS scale for girls was 37.44 points, and for boys, 37.32 points. None of the above parameters correlated with the risk of feeding problems, including age, except with a non-significative tendency to be higher in the youngest age. Conclusion: Breast milk feeding and the time of complementary feeding (CF) in the study group did not influence the risk of feeding problems. Using the full BLW method during CF can protect the child against the occurrence of feeding problems such a food selectivity or picky eating in the future. In our study, children with difficulties during CF, mainly the vomiting reflex, were more likely to develop feeding problems such as food neophobia. Based on our study, we did not observe a correlation between age, gender, and the occurrence of feeding problems, and there was only a non-significant tendency to be higher in the youngest age. However, further research needs to be undertaken to assess how such behaviour affects subsequent feeding difficulties.
Oviposition by Plagiodera versicolora on Salix matsudana cv. ‘Zhuliu’ alters the leaf transcriptome and impairs larval performance

Insect egg deposition can induce plant defenses against their larvae. Previous studies have primarily focused on herbaceous plant defenses; however, little is known about how the Salicaceae respond to insect egg deposition and defend themselves against herbivores. By combining plant defense gene studies and bioassays, we investigated the effect of the coleoptera Plagiodera versicolora egg deposition on willow (Salix matsudana cv. ‘Zhuliu’) and examined the interactions at the plant resistance and transcriptome levels. RNA-seq data were utilized to analyze changes in the leaf transcriptome with and without oviposition, and also the changes in the leaf transcriptome of feeding-damaged leaves with and without prior oviposition. P. versicolora oviposition on willow leaves resulted in altered expression levels of transcripts associated with plant stress and metabolic responses. Compared with leaves with no oviposition, leaves with egg deposition showed a slight increase in phenylpropanoid biosynthesis and phytohormone signaling genes after larval feeding. The RNA-seq analysis revealed alterations in willow transcripts in response to leaf beetle infestations. Bioassays indicated that oviposition by P. versicolora on willows reduced subsequent larvae performance, suggesting that prior oviposition by P. versicolora could increase willows’ resistance to larvae. This study advances our knowledge of how oviposition by coleoptera insects induces changes in the resistance of leaves to herbivory in the Salicaceae family.
Wellness in Nursing Education to Promote Resilience and Reduce Burnout: Protocol for a Holistic Multidimensional Wellness Intervention and Longitudinal Research Study Design in Nursing Education

Background The United States faces a nursing shortage driven by a burnout epidemic among nurses and nursing students. Nursing students are an integral population to fuel the nursing workforce at high risk of burnout and increased rates of perceived stress. Objective The aim of this paper is to describe WellNurse, a holistic, interdisciplinary, multidimensional longitudinal research study that examines evidence-based interventions intended to reduce burnout and increase resilience among graduate and undergraduate nursing students. Methods Graduate and undergraduate nursing students matriculated at a large public university in the northeastern United States are eligible to enroll in this ongoing, longitudinal cohort study beginning in March 2021. Participants complete a battery of health measurements twice each semester during the fourth week and the week before final examinations. The measures include the Perceived Stress Scale, the Satisfaction with Life Scale, the Oldenburg Burnout Inventory, the Brief Resilience Scale, and the Pittsburgh Sleep Quality Index. Participants are eligible to enroll in a variety of interventions, including mindfulness-based stress reduction, mindful eating, fitness training, and massage therapy. Those who enroll in specific, targeted interventions complete additional measures designed to target the aim of the intervention. All participants receive a free Fitbit device. Additional environmental changes are being implemented to further promote a culture that supports academic well-being, including recruiting a diverse student population through evidence-based holistic admissions, inclusive teaching design, targeted resilience and stress reduction workshops, and cultural shifts within classrooms and curricula. The study design protocol is registered at Open Science Framework (DOI 10.17605/OSF.IO/NCBPE). Results The project was funded on January 1, 2022. Data collection started in March 2022. A total of 267 participants have been recruited. Results will be published after each semester starting in December 2023. WellNurse evaluation follows the Rapid Cycle Quality Improvement framework to continuously monitor ongoing project processes, activity outcomes, and progress toward reducing burnout and increasing resilience. Rapid Cycle Quality Improvement promotes the ability to alter WellNurse interventions, examine multiple interventions, and test their effectiveness among the nursing education population to identify the most effective interventions. Conclusions Academic nursing organizations must address student burnout risk and increase resilience to produce a future workforce that provides high-quality patient care to a diverse population. Findings from WellNurse will support evidence-based implementations for public baccalaureate and master’s nursing programs in the United States. International Registered Report Identifier (IRRID) DERR1-10.2196/49020
On the determination of Hydrodynamic Coefficients for Real-Time Ship Manoeuvring Simulation

For the real-time simulation of ship manoeuvring, it is required to estimate the hydrodynamic forces with high accuracy. Current methods to determine the hydrodynamic coefficients prove to be time consuming and labour intensive. In this thesis, a method based on Singular Value Decomposition is proposed to determine the hydrodynamic coefficients from a manoeuvre executed by a vessel. The method applies Singular Value Decomposition (SVD) on the equations of motion in the horizontal plane using estimated propeller and rudder forces. With use of numerical differentiation the velocities and accelerations of the vessel are calculated. The set of coefficients determined by the method is based on low aspect ratio lift theory. By comparing the trial manoeuvres simulated with results from the MMG method, it shows that the manoeuvres agree well with the MMG results. However since the method is only tested on simulated trial manoeuvres there are still some problems to be solved such as influence of measuring errors, determining the set of coefficients to be predicted and the search for the best manoeuvre(s) to predict the coefficients.
Factors Influencing Trust on Zakat Institutions in Achieving Sustainable Development Goals (SDG)

Zakat institutions are organizations that are growing in terms of collection and distribution as well as various programs to increase the capacity of asnaf in line with the progress of the country. However, there is no denying that there are various negative perceptions of the community towards zakat institutions, including uneven collection achievements, unequal distribution, low accountability and various other unpleasant perceptions from stakeholders. Therefore, this study aims to see the factors that influence trust in zakat institutions in achieving sustainable development goals (SDG). This study is qualitative by using documentation and observation methods. Findings found that factors such as good governance, accountability, effectiveness and trust affect in zakat institutions in achieving sustainable development goals.
Discussion of signal decomposition techniques on feature extraction from structural dynamic response data

Modal parameters identification research based on using vibration measurements can reflect the true dynamic behavior of a structure while analytical prediction methods, such as finite element models, are less accurate due to the numerous structural idealizations and uncertainties involved in the simulations. Since time–frequency analysis for non-linear and non-stationary signals is extraordinarily challenging for structural response under extreme loading. To capture features in these signals, it is necessary for the analysis methods to be local, adaptive and stable. Classical approach to compute its instantaneous frequency is to consider the amplitude–frequency modulated formulation of its complex (or analytic) signal extension, via the Hilbert transform. The aim of this paper is therefore to present and discuss some non-parametric methods of time frequency analysis improved with respect to the classical implementation, and compare their performance under different conditions with respect to the signals to be examined. In particular, the following methods will be presented: Modified Complex Morlet Wavelet with Variable Central Frequency (MCMV+VCF) Enhanced Time-Frequency Analysis Through SVD-based WPT Synchro-Squeeze wavelet transform method (SSWT) Reassigned Smoothed Pseudo Wigner-Ville Distribution (RSPWVD) To demonstrate the applicability of the proposed method responses from synthetic signals and instrumented responses are used to demonstrate the capability of feature extraction of the methods, analysis on the synthetic data as well as the response data.
Robust and consistent variable selection in high-dimensional generalized linear models

Summary Generalized linear models are popular for modelling a large variety of data. We consider variable selection through penalized methods by focusing on resistance issues in the presence of outlying data and other deviations from assumptions. We highlight the weaknesses of widely-used penalized M-estimators, propose a robust penalized quasilikelihood estimator, and show that it enjoys oracle properties in high dimensions and is stable in a neighbourhood of the model. We illustrate its finite-sample performance on simulated and real data.
Effect of Er:YAG Laser Exposure on the Amorphous Smear Layer in the Marginal Zone of the Osteotomy Site for Placement of Dental Screw Implants: A Histomorphological Study

The placement of dental screw implants typically involves the use of rotary techniques and drills to create a bone bed. This study explores the potential benefits of combining this method with an Er:YAG laser. Split osteotomies were performed on 10 jaws of euthanized domestic pigs (Sus scrofa domestica), with 12 mandibular implant osteotomies in each jaw, divided into 4 groups. In order to make a comprehensive assessment of the effect of Er:YAG lasers, histomorphological techniques were used to measure the reduction in amorphous layer thickness after Er:YAG laser treatment, both with and without the placement of dental screw implants from different manufacturers. Following bone decalcification and staining, the thickness of the amorphous layer was measured in four groups: Group A—osteotomy performed without Er:YAG laser treatment—had amorphous layer thicknesses ranging from 21.813 to 222.13 µm; Group B—osteotomy performed with Er:YAG laser treatment—had amorphous layer thicknesses ranging from 6.08 to 64.64 µm; Group C—an implant placed in the bone without laser treatment—had amorphous layer thicknesses of 5.90 to 54.52 µm; and Group D—an implant placed after bone treatment with Er:YAG laser—had amorphous layer thicknesses of 1.29 to 7.98 µm. The examination and photomicrodocumentation was performed using a LEICA DM1000 LED microscope (Germany) and LAS V 4.8 software (Leica Application Suite V4, Leica Microsystems, Germany). When comparing group A to group B and group C to D, statistically significant differences were indicated (p-value = 0.000, p < 0.05). The study demonstrates the synergistic effects and the possibility of integrating lasers into the conventional implantation protocol. By applying our own method of biomodification, the smear layer formed during rotary osteotomy can be reduced using Er:YAG lasers. This reduction leads to a narrower peri-implant space and improved bone-to-implant contact, facilitating accelerated osseointegration.
Comparisons of Clients’ and Caregivers’ Satisfaction Across Conventional, Virtual, and Hybrid Speech-Language Therapy Services in Malaysia

Purpose This study compared the satisfaction of recipients of conventional speech-language therapy (C-SLT), speech-language teletherapy (SLTT), and hybrid speech-language therapy (H-SLT), and determined sociodemographic factors that affect their satisfaction. Patients and Methods Participants were clients and caregivers of a speech-language clinic at a public university. Services were primarily provided by student clinicians, who were undergoing supervised clinical training. An online survey was distributed, which consisted of three sections: Background Information, Overall Satisfaction in SLT, and Satisfaction in SLTT. All participants completed the first two sections, while the third section was completed only by those who experienced SLTT or H-SLT. Results Most of the respondents were caregivers (89.7%), female (79.4%), of Malay ethnicity (80.9%), have received tertiary education (77.9%), within the low-income category (66.2%), held a job (76.5%), and resided in central West Malaysia (83.8%). Many participants experienced C-SLT (51%), followed by H-SLT (34%), and SLTT (15%). There were no significant differences in the overall satisfaction of the participants across three modes of services delivery (F[2,67] = 0.02, p = 0.95), and in the satisfaction with teletherapy between the H-SLT and SLTT groups (t = 0.90, p = 0.38). Income was the only sociodemographic factor that was correlated with the satisfaction level in teletherapy (r = 0.37, p = 0.04).
"Protect Me": An Intervention to Overcome and Prevent Domestic Violence in Adolescent Pregnancy

Background: Some pregnant adolescents experience violence that has a negative impact for the pregnant adolescent itself and also their babies. It is necessary to make a health promotion intervention as an eï¬€ort to prevent and control violence against pregnant adolescents. Purpose: This research aimed to analyse the inï¬‚uence of the health education about domestic violence named â€œProtect Meâ€ on knowledge, selfefcacy, and help-seeking behavior again violence among adolescent with pregnancy. Methods: There were 37 participants of pregnant adolescents involved in violence screening. Based on the screening results, 30 participants experienced violence and agreed to involve in this research. Research with pre-experimental study design using a total sampling of 30 pregnant adolescents experiencing domestic violence from April to June 2020. Results: The results showed that 6.7% of pregnant adolescents experienced psychological, physical and economic violence and 13.3% pregnant adolescents experienced sexual violence. There was a signifcant diï¬€erence between the level of knowledge (p < 0.001) and help-seeking behavior (p = 0.002) of pregnant adolescents after being given â€œProtect Meâ€ intervention and Self-efcacy has no relation with Protect Me intervention (p = 0.186). Conclusion: The results of the research concluded that the domestic violence prevention and management eï¬€orts could be carried out by applying education based intervention â€œProtect Meâ€, to improve the knowledge and help-seeking behavior of pregnant adolescents.
Chaos in a model for masting

Isagi et al introduced a model for masting, that is, the intermittent production of flowers and fruit by trees. A tree produces flowers and fruit only when the stored energy exceeds a certain threshold value. If flowers and fruit are not produced, the stored energy increases by a certain fixed amount; if flowers and fruit are produced, the energy is depleted by an amount proportional to the excess stored energy. Thus a one-dimensional model is derived for the amount of stored energy. When the ratio of the amount of energy used for flowering and fruit production in a reproductive year to the excess amount of stored energy before that year is small, the stored energy approaches a constant value as time passes. However when this ratio is large, the amount of stored energy varies unpredictably and as the ratio increases the range of possible values for the stored energy increases also. In this article we describe this chaotic behavior precisely with complete proofs.
Current-induced torques in ferromagnets at room temperature

This thesis uses ferromagnetic resonance to explore the current-induced torques (CITs) in two different systems, namely YIG/heavy metal bilayers and bulk NiMnSb, at room temperature. We apply a microwave current to the sample while sweeping the external magnetic field, and measure the longitudinal DC voltage. From a symmetry analysis of the ferromagnetic resonance lineshape, the amplitudes and directions of the CITs parameterised by an effective magnetic field are accurately estimated. In Chapter 4, YIG samples of different thickness, capped by either Pt or Ta, are studied. The resonance is driven by both spin-transfer torque and Oersted field, and the DC voltage is attributed to both spin rectification and spin pumping. The CITs can be well analysed from the lineshape of the voltage and its dependence on YIG thickness, from which we deduce that the Oersted field dominates over the spin-transfer torque in driving magnetization dynamics. In Chapter 5, we characterise the CITs in bulk NiMnSb induced by the relativistic spinorbit coupling effect. Both field-like and antidamping-like spin-orbit torques are observed and analysed in detail. At the end of this chapter, we study the spin-wave resonance driven by the CITs, from which the exchange stiffness of NiMnSb is determined. In Chapter 6, we extrapolate a new form of magnetoresistance in NiMnSb: unidirectional spin-orbit magnetoresistance (USOMR). USOMR scales linearly with the current and has opposite sign when the magnetization is reversed. Similar to the giant magnetoresistance in magnetic multilayers, USOMR can be used to distinguish between two opposite magnetization directions directly in the bulk of the ferromagnet.
A Refined Higher-Order Hybrid Stress Quadrilateral Element for Free Vibration and Buckling Analyses of Reissner-Mindlin Plates

This paper is devoted to develop a new 8-node higher-order hybrid stress element (QH8) for free vibration and buckling analysis based on the Mindlin/Reissner plate theory. In particular, a simple explicit expression of a refine method with an adjustable constant is introduced to improve the accuracy of the analysis. A combined mass matrix for natural frequency analysis and a combined geometric stiffness matrix for buckling analysis are obtained using the refined method. It is noted that numerical examples are presented to show the validity and efficiency of the present element for free vibration and buckling analysis of plates. Furthermore, satisfactory accuracy for thin and moderately thick plates is obtained and it is free from shear locking for thin plate analysis and can pass the nonzero shear stress patch test.
BFDAC: A Blockchain-Based and Fog-Computing-Assisted Data Access Control Scheme in Vehicular Social Networks

The vehicular social networks (VSNs) provide passengers, drivers and vehicles with multiple services, such as safe driving, data sharing, and traffic management. However, transmitting data in VSNs can expose information, such as the user’s identity and location. Malicious users who tamper with shared data can even cause serious traffic accidents. Considering the privacy protection and secure transmission of shared data in VSNs, we propose a blockchain-based and fog computing-assisted data access control (BFDAC) scheme. We combine the multi-authority ciphertext-policy attribute-based encryption algorithm with the consortium blockchain to avoid the security and trust issues in the form of centralized key management, and outsource part of the decryption calculations to roadside units (RSUs) as fog nodes to realize lightweight calculation for users. Our BFDAC scheme also supports user tracking and revocation, while users can also revoke shared data saved in the cloud. Security analysis shows that the BFDAC scheme can effectively protect the shared data. Experiments show that our BFDAC scheme reduces 32.8% in storage cost, 9.5% in encryption cost, and 57.1% in outsourced decryption cost compared to previous ones.