Miracle-dz/UniFAR-FTUs huggingface dataset:
Method of shift-frequency jamming to LFM radar based on delay invariance

A new method is proposed according to the features that the frequency difference of linear frequency modulated(LFM) signal is independent to time.The LFM signal is multiplied by its self-delayed one to get the linear relationship between them and then the LFM signal frequency is shifted.This method is adaptive to chirp-rate-agility or frequency-diversity.One of the jammer structures which can realize the method is given and the calculation formulas describing the gain of the jamming signal after match filter is deduced.The simulation result is consistent with the one obtained by theoretical analysis.
Dyggve-Melchior-Clausen Syndrome Caused by a Novel Frameshift Variant in a Japanese Patient

Introduction: Dyggve-Melchior-Clausen syndrome (DMC) is a rare autosomal recessive spondyloepimetaphyseal dysplasia characterized by short stature, microcephaly, intellectual disability, and coarse face. This disorder is caused by pathogenic/likely pathogenic variants of the DYM gene which encodes dymeclin. Case Presentation: Herein, we report a 60-year-old Japanese man who was born to consanguineous parents. He presented with abdominal distention and rectal prolapse in addition to the common features of DMC. We identified a novel homozygous frameshift variant [c.1670delT, p.(Leu557Argfs*20)] in the DYM gene, which introduces a premature stop codon. Histological analysis revealed disarrangement of actin filaments in cultured fibroblasts. Discussion: To the best of our knowledge, this is the first Japanese case of DMC with a confirmed variant in the DYM gene. This report provides more information about the geographic distribution and phenotypic spectrum of DMC. Moreover, it presents a novel DYM variant and insights about DMC pathology that may be associated with the disarrangement of actin filaments.
Math Mindsets and Academic Grit: How Are They Related to Primary Math Achievement?

Math Mindsets and Grit: How Are They Related to Primary Math Achievement? ABSTRACT In recent years, Dweck (2014) and Duckworth (2016) introduced two important concepts in student learning: mindsets and grit. These variables can drastically change the way individuals handle a learning situation, the degree of effort and persistence they display, and eventually, their level of achievement. Recent literature on self-theories recommends using domain-specific rather than domain-general instruments to explain school achievement. Furthermore, child samples are relatively understudied compared to adolescent and youth samples in terms of self-theories and achievement relations. This study focuses on math mindsets, academic grit, and their relation to math achievement at the primary school level. Math mindsets scale, academic grit scale, and a math achievement test were used as data collection instruments. Data were collected from purposively selected 225 4 th grade students in Istanbul, Turkey. A cross-sectional causal model has been tested through structural equation modeling (SEM). There was not a direct effect of growth math mindset but a significant negative effect of fixed math mindset on math achievement. The indirect effect of growth math mindset on math achievement mediated by academic grit was positive and significant; the indirect effect of fixed math mindset was non-significant. Finally, the effect of academic grit on math achievement was positive and significant. The SEM model explained 36% of the variance in math achievement and 64% of academic grit. School-based interventions are recommended to promote a growth math mindset and academic grit. Practical and theoretical implications are discussed in detail.
Incidencia del Marketing de contenidos en el comportamiento del consumidor millennials de los supermercados de Machala

El presente artículo tiene como objetivo analizar la incidencia del marketing de contenidos en Facebook sobre el comportamiento del consumidor millennials de los supermercados de la ciudad de Machala y en el valor percibido por este segmento. El estudio aplicado es de enfoque mixto cualitativo-cuantitativo, basado en 3 métodos: revisión documental, observación mecánica y personal en Facebook de los supermercados Supermaxi, Mi comisariato, Tía y Akí; finalmente, la aplicación de encuestas con un muestreo no probabilístico de tipo bola de nieve a una muestra conformada por 384 personas de una población de 129.969 personas según el INEC del trimestre enero-marzo 2021 de la población económicamente activa (PEA) de la ciudad de Machala. Dentro de los resultados de la observación mecánica y personal se constató que tanto fans como seguidores de los supermercados interactúan compartiendo contenido informativo y de entretenimiento, en formato de imagen y video, en perfiles con una frecuencia alta de publicaciones. Sobre la encuesta se concluye que las marcas que lideran los indicadores en cuanto a marketing de contenidos, son las de preferencia del segmento millennials (Tía 35% y Mi comisariato 32%), y que los contenidos promocionales (50%) y publicitarios (58,88%) influyen considerablemente en la decisión de compra.
Effect of Cognitive-Behavioral Therapy Focused on Self-esteem on Fear of Childbirth: A Counseling Approach in Prenatal Care and a Randomized Clinical Trial

Objectives: This study aimed to evaluate the effect of cognitive-behavioral therapy focused on self-esteem (CBT-S) on fear of childbirth in nulliparous women. Materials and Methods: In this randomized clinical trial, 24 nulliparous women willing to cesarean section delivery referred to Milad hospital, Tehran, Iran, between July to August 2015 were enrolled with a convenient sampling method. Participants were assigned into two CBT-S and control groups (24 in each group) using randomized blocks of 4. Seven sessions were performed for the CBT-S group, but the control group received routine prenatal classes. FOC was assessed using Harman’s childbirth attitudes questionnaire. The Rosenberg self-esteem scale was used to assess self-esteem at the beginning of the study. Two weeks after the intervention, both groups filled out the FOC and self-esteem questionnaire. Results: The mean score of fear at the end of the study in the CBT-S and control group was significantly different (P=0.001). Also, self-esteem scores increased after intervention in the CBT-S counseling group (4.77 ± 4.07vs -1.79 ± 2.26; P=0.001). Conclusions: This study confirms the importance of the CBT-S approach focusing on self-esteem in reducing FOC.
3D Face Reconstruction and Gaze Tracking in the HMD for Virtual Interaction

With the rapid development of virtual reality (VR) technology, VR headsets, a.k. a. Head-Mounted Displays (HMDs), are widely available, allowing immersive 3D content to be viewed. A natural need for truly immersive VR is to allow bidirectional communication: the user should be able to interact with the virtual world using facial expressions and eye gaze, in addition to traditional means of interaction. The typical application scenario includes VR virtual conferencing and virtual roaming, where ideally users are able to see other users’ expressions and have eye contact with them in the virtual world. In addition, eye gaze also provides a natural means of interaction with virtual objects. Despite significant achievements in recent years for reconstruction of 3D faces from RGB or RGB-D images, it remains a challenge to reliably capture and reconstruct 3D facial expressions including eye gaze when the user is wearing an HMD, because the majority of the face is occluded, especially those areas around the eyes which are essential for recognizing facial expressions and eye gaze. In this paper, we introduce a novel real-time system that is able to capture and reconstruct 3D faces wearing HMDs, and robustly recover eye gaze. We further propose a novel method to map eye gaze directions to the 3D virtual world, which provides a novel and useful interactive mode in VR. We compare our method with state-of-the-art techniques both qualitatively and quantitatively, and demonstrate the effectiveness of our system using live capture.
Pioneering Role of Marine Macroalgae in Cosmeceuticals

Cosmetics are broadly used by people to protect the skin from external environmental stresses and for beauty purposes globally. A recent trend towards cosmetics with natural formulations has emerged. The cosmetic industry uses the term ‘cosmeceutical’ to refer to a cosmetic formula that has drug-like applicative advantages. Recently, macroalgae have received increased attention as natural ingredients for cosmeceutical applications. Many marine algae are rich in biologically active components that have been reported to exhibit strong benefits to the skin, mainly for photoprotection, skin whitening, moisturization, anti-aging, anti-wrinkle, antioxidants, and antimicrobial uses. The present review provides a detailed study of the literature on the cosmetic potentials of marine algae-derived polysaccharides, peptides and amino acids, pigments, phenolic components, and fatty acids. We provide an overview of different types of macroalgae with their biologically active constituents and potential cosmetic benefits. In addition, the bioactive molecules of cosmetic products containing marine macroalgae as well as their mechanisms of action are briefly discussed.
Preliminary Study of Agent-Based Simulation to Predict Charging Behavior of Electric Vehicles in New Delhi, India

Agent-based simulations have gained popularity in travel demand modeling because they exhibit greater power in explaining dependencies within activity chains and are based on a dynamic decision-making procedure. These features become even more critical while modeling electric vehicles because variations in charging behavior can significantly affect the spatio-temporal distribution of load on a power grid. Given India’s aggressive electric vehicle deployment targets (6 – 7 million hybrid and electric vehicles by 2020), there are great concerns about the country’s ability to meet future BEV charging demand. A first step towards modeling the spatial and temporal effects of increased EV penetration on the grid is to generate accurate trip profiles for the study region. As a pilot study, agent-based simulation is performed for the city of New Delhi. A detailed traffic network is extracted from Open Street Maps (OSM) and processed through the java application Osmosis. Activity chains for cars, two-wheelers and electric vehicles (assuming 15% market penetration by 2025) are generated from household travel survey data and Origin-Destination (O-D) data using Non-Parametric Resampling. Finally, the base network and activity demands are served as input for agent-based traffic simulation software MATSim to generate equilibrium routes. To the knowledge of the authors, this is the first attempt to produce an agent-based traffic simulation for the city of New Delhi and provides important insights into impacts of EV introduction in India.
A Novel Flyback Single-stage PFC Converter With Voltage Negative Feedback Winding

A novel flyback single-stage PFC converter with voltage negative feedback winding is proposed. The voltage negative feedback winding is used to suppress the voltage of storage capacitors, and reduce the voltage and current stresses on power components. It can solve the high capacitors voltage problem at light load when converter works under DCM PFC+CCM DC/DC mode. Some input energy can be transferred to load directly via negative feedback winding, so it can achieve high efficiency. Operation principle and steady-state are discussed in detail. It can be seen that this converter can obtain good power factor correction ability, low switch voltage stress and high efficiency. The performance is verified by experimental results.
Opportunities for human-interfaced capacitive sensing in building environments

This work presents several types of novel long-range capacitive sensors that enable better detection of how people move through buildings, presenting ample opportunity for smart lighting and utility control. Various arrangements of sensors on walls, ceilings, and floors turn building surfaces into sensor systems. These systems offer presence and motion detection, and each sensor can also act as a short-range imaging and material detection device. The ability to detect materials in occupants enables this sensor system to act as a non-intrusive security scanning device, improving the confidence of security personnel and easing concerns of travelers and building occupants. Each component of the sensor is modeled physically for electrostatic simulations, and electrically in circuit form. These accurate simulations validate experimental data and confirm a lumped-capacitance system model, as well as provide a tool for designing sensor systems prior to installation.
The University of Pittsburgh English Language Institute Corpus (PELIC)

This report introduces the University of Pittsburgh English Language Institute Corpus (PELIC; Juffs et al., 2020), a publicly available 4.2-million-word learner corpus of written texts. Collected over seven years in the University of Pittsburgh’s Intensive English Program, these texts were produced by more than 1,100 students with diverse linguistic backgrounds and proficiency levels. Unlike most learner corpora which are cross-sectional, PELIC is longitudinal, offering greater opportunities for tracking development in a natural classroom setting. This potential is illustrated in an overview of the research conducted to date with these data. The report also provides a description of PELIC’s creation and contents, including how the texts have been managed to facilitate natural language processing. Overall, the corpus contributes to the field of learner corpus research by adding to the pool of freely and publicly available learner corpora, supplemented by a useful set of Python tools and tutorials for accessing these data.
Variation of the seed endophytic bacteria among plant populations and their plant growth‐promoting activities in a wild mustard plant species, Capsella bursa‐pastoris

Abstract Recent studies have revealed that some bacteria can inhabit plant seeds, and they are likely founders of the bacterial community in the rhizosphere of or inside plants at the early developmental stage. Given that the seedling establishment is a critical fitness component of weedy plant species, the effects of seed endophytic bacteria (SEB) on the seedling performance are of particular interest in weed ecology. Here, we characterized the SEB in natural populations of Capsella bursa‐pastoris, a model species of weed ecology. The composition of endophytic bacterial community was evaluated using deep sequencing of a 16S rDNA gene fragment. Additionally, we isolated bacterial strains from seeds and examined their plant growth‐promoting traits. Actinobacteria, Firmicutes, Alpha‐, and Gammaproteobacteria were major bacterial phyla inside seeds. C. bursa‐pastoris natural populations exhibited variable seed microbiome such that the proportion of Actinobacteria and Alphaproteobacteria differed among populations, and 60 out of 82 OTUs occurred only in a single population. Thirteen cultivable bacterial species in six genera (Bacillus, Rhodococcus, Streptomyces, Staphylococcus, Paenibacillus, Pseudomonas) were isolated, and none of them except Staphylococcus haemolyticus were previously reported as seed endophytes. Eight isolates exhibited plant growth‐promoting traits like phosphate solubilization activity, indole‐3‐acetic acid, or siderophore production. Despite the differences in the bacterial communities among plant populations, at least one isolated strain from each population stimulated shoot growth of either C. bursa‐pastoris or its close relative A. thaliana when grown with plants in the same media. These results suggest that a weedy plant species, C. bursa‐pastoris, contains bacterial endophytes inside their seeds, stimulating seedling growth and thereby potentially affecting seedling establishment.
Hepato-protective Effect and Lipid Profile of Honey on Alloxan-induced Diabetic Rats

Purpose: The study investigated honey's hepatoprotective effect and lipid profile on alloxan-induced diabetic rats. Methods: Thirty-six (36) male Wistar rats were assigned into six (6) groups with six (6) animals each, group 1 (Normal control), group 2 (Negative control), group 3 (Glibenclamide), group 4 (treated with 0.2mls of honey) group 5, (treated with 0.5mls of honey and group 6 (treated with 0.8mls of honey). The rats were fed with standard feed and drinking water ad libitum. The diabetic control, diabetic glibenclamide and the treated groups (0.2 mL/kg, 0.5 mL/kg and 0.8 mL/kg) were induced with diabetes by intraperitoneal injection of 120 mg/kg bodyweight alloxan monohydrate, and confirmation was done using a glucometer. Treatment lasted for three weeks (21 days), after which rats were sacrificed by cervical dislocation under light ether anaesthesia. Blood was collected for biochemical evaluation using standard techniques (Randox kits). Blood glucose levels were monitored on days 0, 7, 14, and 21. Results: Administration of honey to the diabetic rats significantly reduced (p < 0.05) glucose level (119.50 mg/dl), total cholesterol (TC), triglyceride (49.5 mg/dl) and low-density lipoprotein cholesterol (LDL-C), while significantly increasing (p < 0.05) high-density lipoprotein cholesterol (HDL-C) when compared to the diabetic untreated rats. Liver enzyme parameters: alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), and total bilirubin (T.Bil.) were found to be within the normal range. Conclusions: Overall, the findings suggest that honey could ameliorate metabolic disorders caused by diabetes.
Selecting the Target Population for Screening of Hepatic Fibrosis in Primary Care Centers in Korea

Screening strategies for hepatic fibrosis are heavily focused on patients with fatty liver on sonography in primary care centers. This study aimed to investigate the target population for screening significant hepatic fibrosis in primary care centers. This retrospective cross-sectional cohort study used data from 13 nationwide centers. A total of 5111 subjects who underwent both abdominal sonography and magnetic resonance elastography as part of their health check-up were included. Subjects with viral hepatitis and/or a history of significant alcohol consumption were excluded. Significant and advanced hepatic fibrosis was defined as ≥3.0 kPa and ≥3.6 kPa in the MRE test, respectively. The prevalence of significant and advanced hepatic fibrosis was 7.3% and 1.9%, respectively. Among the subjects with significant hepatic fibrosis, 41.3% did not have fatty liver. Hepatic fibrosis burden increased according to the number of metabolic risk abnormalities. Nearly 70% of subjects with significant hepatic fibrosis also had two or more metabolic risk abnormalities and/or diabetes. However, the prevalence of fibrosis did not differ between the groups with and without fatty liver. The presence of two or more metabolic risk abnormalities was an independent risk factor for significant hepatic fibrosis regardless of the fatty liver. Therefore, in the setting of primary care centers, screening for hepatic fibrosis would better be extended to subjects with metabolically unhealthy status beyond those with fatty liver.
Intraocular Delivery of a Collagen Mimetic Peptide Repairs Retinal Ganglion Cell Axons in Chronic and Acute Injury Models

Vision loss through the degeneration of retinal ganglion cell (RGC) axons occurs in both chronic and acute conditions that target the optic nerve. These include glaucoma, in which sensitivity to intraocular pressure (IOP) causes early RGC axonal dysfunction, and optic nerve trauma, which causes rapid axon degeneration from the site of injury. In each case, degeneration is irreversible, necessitating new therapeutics that protect, repair, and regenerate RGC axons. Recently, we demonstrated the reparative capacity of using collagen mimetic peptides (CMPs) to heal fragmented collagen in the neuronal extracellular milieu. This was an important step in the development of neuronal-based therapies since neurodegeneration involves matrix metalloproteinase (MMP)-mediated remodeling of the collagen-rich environment in which neurons and their axons exist. We found that intraocular delivery of a CMP comprising single-strand fractions of triple helix human type I collagen prevented early RGC axon dysfunction in an inducible glaucoma model. Additionally, CMPs also promoted neurite outgrowth from dorsal root ganglia, challenged in vitro by partial digestion of collagen. Here, we compared the ability of a CMP sequence to protect RGC axons in both inducible glaucoma and optic nerve crush. A three-week +40% elevation in IOP caused a 67% degradation in anterograde transport to the superior colliculus, the primary retinal projection target in rodents. We found that a single intravitreal injection of CMP during the period of IOP elevation significantly reduced this degradation. The same CMP delivered shortly after optic nerve crush promoted significant axonal recovery during the two-week period following injury. Together, these findings support a novel protective and reparative role for the use of CMPs in both chronic and acute conditions affecting the survival of RGC axons in the optic projection to the brain.
A Lightweight and Practical Anonymous Authentication Protocol Based on Bit-Self-Test PUF

Physical unclonable function (PUF), a cryptographic primitive, has recently been used in protocol design because it can ensure a tamper-evident feature. In many PUF-based protocol schemes, helper data algorithms (HDA) or fuzzy extractors (FE) are used to generate strong keys from unreliable PUF responses. However, these methods inevitably introduce complex error correction techniques, which not only increase the overhead of embedded devices but also pose some security risks. We propose a novel HDA technology, which does not use any high-overhead error correction mechanism, greatly reducing the implementation complexity and execution overhead. The novel HDA exploits the strategy of bit-self-test (BST) and the PUF can extract the robust responses by using the real-time generated reliable flags, and then an entropy extractor is used to generate the reliable and random key with high entropy. Based on this novel HDA, we design a lightweight anonymous authentication protocol. The protocol uses pseudo-random function (PRF) and XOR operation instead of the traditional hash function and symmetric encryption algorithm, which ensures security while reducing the overhead. Moreover, the proposed protocol does not require the server to store a large number of challenge–response pairs (CRPs), which reduces the storage overhead on the server while avoiding the risk of leakage of CRPs. Moreover, the device identity ID is updated during each round of the authentication process, which prevents the device from being tracked and protects the privacy of the device. The implementation and performance analysis of the protocol prototype on a Zynq-7000 SoC XC7Z010 FPGA shows that the proposed scheme solves the problems encountered with existing schemes and has additional security properties.