Miracle-dz/UniFAR-FTUs huggingface dataset:
A New Low-Noise I-Squared Buck Converter Suitable for Wireless Sensor Networks With Dual-Current-Acceleration Techniques

This paper proposed a new low-noise I-squard <inline-formula> <tex-math notation="LaTeX">$2^{nd}$ </tex-math></inline-formula>-order continuous-time-delta-sigma-modulation (CT-DSM) buck converter suitable for wireless sensor networks with dual-current-acceleration (DCA) techniques. First, it adopts the second-order CT-DSM scheme, which can effectively utilize the oversampling and the noise shaping techniques to disperse the noise and push it to higher frequencies. Second, the use of the pseudo-inductor-current-sensor can increase the bandwidth of the closed-loop gain and consequently speeds up the transient response of the converter. Third, the dynamic-current regulator utilizes the principle of current charging and discharging to make the converter respond faster when the load changes dynamically. Fourth, this paper combines the pseudo-inductor-current-sensor and the dynamic-current regulator to realize the dual-current-acceleration technique, which can accelerate the transient response by up to 45.5%. The proposed converter is designed and fabricated in TSMC <inline-formula> <tex-math notation="LaTeX">$0.18\mu \text{m}$ </tex-math></inline-formula> 1P6M CMOS process, and the chip area is 1.065 mm2. When the load current changes from 50mA to 500mA and 500mA to 50mA, the transient responses are <inline-formula> <tex-math notation="LaTeX">$2.4\mu \text{s}$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$3\mu \text{s}$ </tex-math></inline-formula>, respectively, and the peak efficiency is 92.4%. The measurement result of ONR is 78.087dB, with the sampling frequency of 10 MHz.
The growth trajectories of morphological awareness and its predictors

Abstract The purpose of this study was to examine the early growth of morphological awareness and its predictors. We followed 172 English-speaking Canadian children (82 girls, 90 boys, M age = 75.56 months at the first assessment point) from Grade 1 to Grade 3 and assessed them on nonverbal IQ, phonological short-term memory, phonological awareness, letter knowledge, and vocabulary at the beginning of Grade 1 and on morphological awareness at the end of Grade 1, beginning and end of Grade 2, and beginning of Grade 3. Results of growth curve modeling showed different growth patterns for Word Analogy and Sentence Analogy. In addition, vocabulary and phonological awareness were associated with the initial status of morphological awareness, and phonological awareness and letter knowledge predicted the growth rate of morphological awareness. These findings suggest that code-related skills drive the development of morphological awareness during the early years of literacy instruction.
The Relationship between Oxidative Status and Radioiodine Treatment Qualification among Papillary Thyroid Cancer Patients

Simple Summary Studies analyzing the protein profile of thyroid tissue in patients with papillary thyroid cancer (PTC) have revealed disturbed metabolic pathways, including those related to oxidative status. This study aimed to assess the concentration of specific markers associated with oxidative homeostasis in PTC patients and their potential role as screening factors for radioiodine treatment (RAI) indication and further clinical management. Abstract Total oxidative status (TOS), total antioxidant capacity (TAC), tumor protein 53 (p53), nuclear factor kappa B (NF-κB), forkhead box protein O1 (FOXO), and sirtuin 1 (SIRT1) play crucial roles in oxidative homeostasis and the progression of papillary thyroid cancer (PTC), as previously demonstrated in the literature. Therefore, profiling these markers among PTC patients may be useful in determining their eligibility for radioiodine (RAI) treatment. Since treatment indications are based on multiple and dynamic recommendations, additional criteria for adjuvant RAI therapy are still needed. In our study, we evaluated the TOS, TAC, and serum concentrations of p53, NF-κB, FOXO, and SIRT1 to analyze the relationship between oxidative status and qualification for RAI treatment. For the purpose of this study, we enrolled 60 patients with PTC allocated for RAI treatment as the study group and 25 very low-risk PTC patients not allocated for RAI treatment as a reference group. The serum TOS and SIRT1 concentrations were significantly higher in the study group compared to the reference group (both p < 0.001), whereas the TAC and p53, NK-κB, and FOXO concentrations were significantly lower (all p < 0.05). We also demonstrated the diagnostic utility of TAC (AUC = 0.987), FOXO (AUC = 0.648), TOS (AUC = 0.664), SIRT1 (AUC = 0.709), p53 (AUC = 0.664), and NF-κB (AUC = 0.651) measurements as indications for RAI treatment based on American Thyroid Association recommendations. Our study revealed that oxidative status-related markers may become additional criteria for RAI treatment in PTC patients.
Digital methods of social science in food regulation: case studies from the Food Standards Agency

Abstract The use of digital methods in social research has increased significantly, offering some benefits over traditional research methods, and some new challenges. The UK Food Standards Agency’s social science provides several case studies of how digital methods can be effectively utilized in practice. The agency has adopted various digital methods including web push surveys, online panels, online deliberative dialogue and citizen science platforms to gather data and gain insights into citizens’ attitudes and behaviours when it comes to the food system and food safety and standards. The implementation of these digital methods has allowed for more efficient data collection, and when applied with care and creativity can offer a high level of engagement and participation from the public. Furthermore, the use of citizen science platforms such as Zooniverse has allowed for the involvement of the general public in the research process, leading to increased public understanding and engagement with the research. The broad use of digital methods in social research as demonstrated by the UK Food Standards Agency’s social science highlights the utility of such methods for current and future research practices.
Design of Miniaturized Multiple Slots Bi-Band PIFA Antenna for 915 and 2450 MHz ISM Telemetry Using Multilayer Human Body Model

In this paper, we present the design of a compactsized dual-band implantable PIFA antenna for biomedical applications. The antenna’s overall size is 8× 8× 0.635 mm3 and radiates in the ISM band with the frequencies 915 MHz and 2.442 GHz. A layer of superstrate is placed over the patch to prevent direct contact between the radiating patch and body tissue. The antenna is simulated in a four-layer human arm model (skin, fat, muscle and bone). The antenna demonstrates a gain of -3.57dB and -2.80dB with a -10dB bandwidth of 135 MHz and 338 MHz for the two resonances respectively. The specific absorption rate is 0.01 W/kg for 1 g of fabric, which satisfies the safety criterion of the FCC standard. The simulated results are compared to existing antennas, which show that this antenna is an excellent candidate for implantable applications due to its remarkable performances in terms of miniaturization, power gain, bandwidth and SAR.
Wireless Channel Adaptive DNN Split Inference for Resource-Constrained Edge Devices

Split inference facilitates deep neural network (DNN) inference tasks at resource-constrained edge devices. However, a pre-determined split configuration of a DNN limits the inference performance in time-varying wireless channels. To accelerate the inference, we propose a two-stage wireless channel adaptive split inference method by considering memory and energy constraints on the edge device. The proposed scheme is able to offer the privacy of the edge device and improves inference performance in time-varying wireless channels by leveraging a U-shaped DNN splitting framework and adaptively determining the splitting points of a DNN in real-time according to time-varying wireless channel gains.
An Effective Approach to Teach Instrumentation and Control Systems for Engineering Students

Contribution: This article presents an Instrumentation and Control (I&C) prototype for engineering postgraduate laboratory program designed to fulfill the quality objectives of the institution. Background: The syllabus and teaching methodology for engineering students have been periodically updated by universities and higher education institutes to meet the demand of industries and accreditation. I&C systems are widely used in several industries. This article seeks to further understand ways that a multidisciplinary approach for teaching in an undergraduate and postgraduate course related to I&C Systems can earn a systematic knowledge to meet industrial demands and accreditation. Intended Outcomes: A lab environment that motivates postgraduate students to create their fundamental concepts of I&C systems engineering, so that they can apply them in real applications. The intended outcomes are: teach multidisciplinary aspects of the subject, to enrich the students’ learning process and understanding, in designing robust I&C systems, and meet the criteria laid by ABET. Application Design: Many practical exercises were formulated to teach different aspects of I&C systems engineering. It incorporates multidisciplinary knowledge as required. An I&C systems engineering course taught at the department of Systems and Control at Indian Institute of Technology, is presented as a case study in which the evaluation process was based on institute criteria and the corresponding student outcomes. A student survey was also conducted to know the effectiveness of the teaching approach. Findings: The impact analysis of the proposed method was carried out with respect to the understanding of the students on the designing of I&C systems. An analysis of student’s $T$ -test before and after introducing prototype in the course shows the effectiveness of the approach.
Incidence and Prevalence of Multisystem Inflammatory Syndrome in Children (MIS-C) in Southern Italy

Multisystem inflammatory syndrome in children (MIS-C) is a pediatric hyperinflammatory syndrome related to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection whose epidemiology is not very well known at present. The objective of the study was to better understand the incidence of MIS-C in the Apulia region in southern Italy. Our primary goal was to estimate the incidence of newly identified cases of MIS-C in children aged 0–18 years, during a period of six months, encompassing the second pandemic wave. We also analyzed the characteristics of our cohort in terms of clinical features, treatment, and outcomes. The cumulative incidence of MIS-C was 3.27 per 100,000 residents between 0 and 18 years of age. In our cohort, gastrointestinal, mucocutaneous, and cardiac involvement were the most common clinical features. With our step-up approach to therapy, no patients required intensive care unit (ICU) admission and no cardiac sequelae after 6 months of onset were found in echocardiograms. Conclusion: Our epidemiological study of MIS-C in southern Italy showed unexpectedly overlapping figures with other US studies.
Aesthetic style transferring method based on deep neural network between Chinese landscape painting and classical private garden’s virtual scenario

ABSTRACT Most of the existing virtual scenarios built for the digital protection of Chinese classical private gardens are too modern in expression style to show the aesthetic significance of their historical period. Considering the aesthetic commonality between traditional Chinese landscape paintings and classical private gardens and referring to image style transfer, here, a deep neural network was proposed to transfer the aesthetic style from landscape paintings to the virtual scenario of classical private gardens. The network consisted of two parts: style prediction and style transfer. The style prediction network was used to obtain style representation from style paintings, and the style transfer network was used to transfer style representation to the content scenario. The pre-trained network was then embedded into the scenario rendering pipeline and combined with the screen post-processing method to realise the stylised expression of the virtual scenario. To verify the feasibility of this methodology, a virtual scenario of the Humble Administrator’s Garden was used as the content scenario and five garden landscape paintings from different time periods and painting styles were selected for the case study. The results demonstrated that this methodology could effectively achieve the aesthetic style transfer of a virtual scenario.
Factors Associated with Visual Acuity in Advanced Glaucoma

This study aimed to comprehensively analyze various parameters in advanced glaucoma patients to identify the factors that can affect best-corrected visual acuity (BCVA) in advanced glaucoma. This cross-sectional retrospective study included 113 patients (mean age, 61.66 ± 13.26 years; males, 67) who had advanced glaucomatous damage (113 eyes; mean BCVA, 0.18 ± 0.38 logMAR; mean deviation of 30-2 visual field [VF], −19.08 ± 6.23 dB). Peripapillary retinal nerve fiber layer (RNFL) and total and segmented macular thickness (RNFL, ganglion cell layer (GCL), and inner plexiform layer (GCL)) were measured using Spectralis optical coherence tomography (OCT). Correlations between BCVA and OCT parameters or 30-2 VF parameters were assessed using Pearson correlation analysis. Multivariate regression analysis was performed to determine the factors associated with BCVA in advanced glaucoma patients. Peripapillary RNFL thickness, subfoveal choroidal thickness, and global macular RNFL, GCL, IPL, and total thickness were found to be significantly correlated with BCVA and central visual function. Multivariate analysis showed a significant correlation between subfoveal choroidal thickness and BCVA. In addition, central VF mean sensitivity, especially inferior hemifield, showed a significant relationship with BCVA. In conclusion, subfoveal choroidal thickness and central VF sensitivity, especially the inferior hemifield area, are factors that affect BCVA in advanced glaucoma.
Transfer Learning with Image Data Augmentation for Parking Occupancy Detection

The issue of parking in the city is more complex than it appears. In the urban context where space is limited, an efficient parking management is more required. Solutions are counter-intuitive and require integrated parking management to detect space of parking. Deep learning is one of the branches of artificial intelligence, which has been widely used as an effective and robust technique to classify images associated with parking images. Transfer learning is a technique based on deep learning that can be used for image classification. In this paper, we exploit the Inception V3 model in the context of transfer learning technique with image data augmentation to classify the parking space of PKLot dataset. The experimental part shows interesting results in term of accuracy and the number of computational parameters.
The role of particle precipitation on plasma structuring at different altitudes by in-situ measurements

The plasma in the cusp ionosphere is subject to particle precipitation, which is important for the development of large scale irregularities in the plasma density. These irregularities can be broken down to smaller scales which have been linked to strong scintillations in the Global Navigation Satellite System (GNSS) signals. We present power spectra for the plasma density irregularities in the cusp ionosphere for regions with and without auroral particle precipitation based on in-situ measurements from the Twin Rockets to Investigate Cusp Electrodynamics-2 (TRICE-2) mission, consisting of two sounding rockets flying simultaneously at different altitudes. The electron density measurements taken from the multi-needle Langmuir probe system (m-NLP) were analyzed for the whole flight duration for both rockets. Due to their high sampling rates, the probes allow for a study of plasma irregularities down to kinetic scales. A steepening of the slope in the power spectra may indicate two regimes, a frequency interval with a shallow slope, where fluid-like processes are dominating, and an interval with a steeper slope which can be addressed with kinetic theory. The steepening occurs at frequencies between 20 and 100 Hz with a median similar to the oxygen gyrofrequency. Additionally, the occurrence of double slopes increases where precipitation starts and throughout the rest of the flight. In addition, strong electron density fluctuations were found in regions poleward of the cusp, thus in regions immediately after precipitation. Furthermore, by investigating the integrated power of the fluctuations within different frequency ranges, we show that at low frequencies (10-100 Hz), the power is pronounced more evenly while the rocket encounters particle precipitation, while at high frequencies (100-1000 Hz) fluctuations essentially coincide with the passing through a flow channel.
Serpentine and Vermiform Are Produced Autonomously to Fulfill Their Function in Drosophila Wings

Simple Summary In Drosophila melanogaster, DmCDA1 (Serpentine, serp) and DmCDA2 (Vermiform, verm) are responsible for wing cuticle barrier establishment. In the embryo, Serp is produced in the fat body and is transported to tracheal cells to participate in tracheal development. To answer the question as to whether these CDAs in the wing tissue were produced locally or derived from the fat body, we inhibited serp and verm specifically in the fat body or the wing primordia. We revealed that Serp and Verm were produced autonomously in the wing, and repression of these two enzymes caused wing defects locally. They fulfill their function in the wing independently of their expression in fat body. This study advances the understanding of the role of chitin deacetylase in insect wing development. Abstract Group I chitin deacetylases (CDAs), CDA1 and CDA2, play an essential role in cuticle formation and molting in the process of insect wing development. A recent report showed that trachea are able to take up a secreted CDA1 (serpentine, serp) produced in the fat body to support normal tracheal development in the fruit fly Drosophila melanogaster. However, whether CDAs in wing tissue were produced locally or derived from the fat body remains an open question. To address this question, we applied tissue-specific RNAi against DmCDA1 (serpentine, serp) and DmCDA2 (vermiform, verm) in the fat body or the wing and analyzed the resulting phenotypes. We found that repression of serp and verm in the fat body had no effect on wing morphogenesis. RT-qPCR showed that RNAi against serp or verm in the fat body autonomously reduced their expression levels of serp or verm in the fat body but had no non-autonomous effect on the expression in wings. Furthermore, we showed that inhibition of serp or verm in the developing wing caused wing morphology and permeability deficiency. Taken together, the production of Serp and Verm in the wing was autonomous and independent of the fat body.
A modification to general relativity by use of the notion of local expansion of space-time

General Relativity (GR) is Einsteins' theory of gravity whereby the motions of bodies are explained due to their following geodesic paths (the shortest distance between two points) in a curved four dimensional space-time. The curvature being attributed to the presence of mass As such there is no explicit force present in this theory, contrary to Newtons' law of gravity. However in the limit of GR (where the field is both weak and static and bodies are travelling with velocities slow compared to that of light), then Newtons' law is recovered in the approximation. GR has explained all gravitational phenomena extremely well (eg solar system), that is until one considers the measured motions of galaxies. The galaxies are rotating too quickly to be consistent with GR/ Newton. An explanation for this discrepancy has originally been suggested, concerning the presence of extra mass, of as yet an unknown nature. However, to date not a hint of this `Dark Matter' has been detected. A second explanation is that of Modified Newtonian Dynamics (MOND), whereby at a certain very small acceleration, the actual gravitational physics deviates from that described by Newton. The MOND proposal seems to fit extremely well with observations without the need to invoke the presence of DM. The main problem with the MOND concept is that it does not fit in with the standard GR. ii The following work details an exploration into the novel assumption that the presence of mass is not only responsible for the curvature of space-time but also for a local expansion of space-time. By introducing an expansion factor at the very beginning of standard GR analysis, one �nds an extra term appears which is consistent throughout. With the inclusion of this extra term, one can, in the weak, static and slow velocity limit, �nd a direct link to the MOND phenomenology. It is found that the extra term is negligible for small systems (eg Solar) yet it is the dominant term for large systems (eg galaxies). The work is published in Physical Review D. `Gravitational Theoretical Development Supporting MOND'.
Parameter Estimation and Assessment of Bias in Genetic Evaluation of Carcass Traits in Hanwoo Cattle Using Real and Simulated Data

Most carcass and meat quality traits are moderate to highly heritable, indicating that they can be improved through selection. Genetic evaluation for these types of traits is performed using performance data obtained from commercial and progeny testing evaluation. The performance data from commercial farms are available in large volume, however, some drawbacks have been observed. The drawback of the commercial data is mainly due to sorting of animals based on live weight prior to slaughter, and this could lead to bias in the genetic evaluation of later measured traits such as carcass traits. The current study has two components to address the drawback of the commercial data. The first component of the study aimed to estimate genetic parameters for carcass and meat quality traits in Korean Hanwoo cattle using a large sample size of industry-based carcass performance records (n = 469,002). The second component of the study aimed to describe the impact of sorting animals into differ - ent contemporary groups based on an early measured trait and then examine the effect on the genetic evaluation of subsequently measured traits. To demonstrate our objectives, we used real performance data to estimate genetic parameters and simulated data was used to assess the bias in genetic evaluation. The results of our first study showed that commercial data obtained from slaughterhouses is a potential source of carcass performance data and useful for genetic evaluation of carcass traits to improve beef cattle performance. However, we observed some harvesting effect which leads to bias in genetic evaluation of carcass traits. This is mainly due to the selection of animal based on their body weight before arrival to slaughterhouse. Overall, the non-random allocation of animals into a contemporary group leads to a biased estimated breeding value in genetic evaluation, the severity of which in-Received