Miracle-dz/UniFAR-FTUs huggingface dataset:
“Move” Their Brain: Motor Competence Mediates the Relationship of Physical Activity and Executive Functions in Children

The inconsistent conclusions regarding the effects of physical activity (PA) on children’s executive functions (EFs) call for an investigation of the mediators that may explain this relationship during development. This study attempted to examine the potential mediating role of children’s weight status and motor competence (MC) in the PA-EFs relationship. In this regard, 115 children (Mage = 10.3 ± 1.2 years, 42.61% boys) practicing sports were cross-sectionally assessed for their PA (pedometers); BMI (body mass and height); MC (Bruininks–Oseretsky Test of Motor Proficiency); EFs (via computerized tests). The associations among the variables were examined using structural equation modelling. Based on the significant correlation between them (PA was not related to EFs, and BMI was not related to other variables), a serial path model was considered for investigation (PA→MC→EFs). The model fitted well with the data (χ2[5] = 7.244, p = 0.203; CFI= 0.991; RMSEA = 0.071 [0.000, 175], p = 0.315). The unstandardized path coefficients were significant (p < 0.05) (PA predicts MC/MC predicts EFs). All (but one) direct and all indirect effects were significant (p < 0.05), confirming that MC is an intervening variable in the PA-EFs relationship. Given that the cognitive/coordinative challenges related to PA are important to EFs development, children should be encouraged to participate in PA, especially sports, in programs targeting their motor skills.
Video Object Detection Using Densenet-Ssd

Despite the fact that there are well-established object detection methods that are based on images, the application of these approaches to video data on a frame-by-frame basis has two major drawbacks. One is inefficiency in terms of processing caused either by redundant information across image frames or by the absence of temporal and spatial correlation of features across image frames. And other is not being able to cope with the challenges of everyday utilization, such as motion blur and occlusion. In order to capture both temporal and spatial correlation of features, we proposed an improved SSD algorithm called DenseNet – SSD. From the experimental analysis, it is explained that our proposed object detection model gives better result.
Chloroplast Microsatellite-Based High-Resolution Melting Analysis for Authentication and Discrimination of Ilex Species

Ilex species are important sources of high-quality raw plant materials for the production of drugs and functional foods. The precise identification of different species within the Ilex genus would greatly facilitate authentication and certification as well as forest resource monitoring in plantations. Combining DNA barcoding with high-resolution melting (HRM) analysis represents a robust strategy for species discrimination, as demonstrated in recent DNA barcoding studies. Here, using concatenated and aligned complete chloroplast genomes of different Ilex species, we conducted a sliding window analysis to identify regions of high nucleotide diversity (Pi). We optimized and validated the utility of PCR-based HRM coupled with microsatellite markers to discriminate among the four Ilex species, Ilex integra Thunb. , Ilex rotunda Thunb. , Ilex cornuta Lindl. and Paxton, and Ilex x wandoensis C.F. Mill and M. Kim, from wild populations in southwestern Korea. The marker trnSUGA-psbZ produced clear melting patterns and distinct melting curve profiles for the four Ilex species using HRM analysis. We applied this protocol to commercially available Ilex accessions and consistently identified the correct species for all 15 accessions tested. Therefore, combining DNA barcoding with HRM analysis is a powerful method for identifying different species within the same genus, which could be used for quality control of raw materials in the functional food/medicinal plant industry.
Road to successful floriculture through soil micronutrient mapping of different zones of India

The present scenario for natural resource conservation demands for crop diversification and efficient management of natural resources, viz. water, nutrient, soil. The horticultural crops are always looked upon for diversification and within horticultural crops; fruits and vegetables are given prime importance for nutritional value and high outputs. Floricultural crops have emerged as potent livelihood crops for small and marginal farmers, employment for youth with low inputs, crop diversification and natural resource management. The improper use of inputs, viz. fertilizer and water in floral crops limits their production and can adversely affect soil health. So floriculturists should work on this least attended area and recommend appropriate fertilizers to flower growers for good quality production. In comparison to other crops, the nutrient requirement of floral crops is more due to which they scavenge more nutrients from soil so large amount of these nutrients are needed to replenish the soil to maintain balance. The critical limits of micronutrients for different agronomic crops have been developed and same are used for floricultural crops too but as requirement of these crops is higher so critical limits for floral crops need to be developed. Keeping in view all above, an attempt has been made to map micronutrient status of major flower producing states that could be used in management of micronutrient requirement of different floral crops. This will further help in development of policies pertaining to sound micronutrient management packages and precision fertilization in floriculture.
Image recognition on CT image for COVID-19 detection

Image recognition has always been a popular question in computer vision, with numerous works proposed. With the prevailing pandemic of COVID since 2019, there is an increasing demand for detecting COVID from CT images. In this paper, we aim to implement several prevailing image recognition models on CT images and compare their performance. The methods used include the AlexNet, the VGG net, and the SENet. Experiments on the open source COVID x CT dataset show that SENet model has the best performance, obtaining a precision of 85.07%. We validate our method through numerous experiments. We hope our method can achieve the automatic detection for COVID-19 pandemic.
Breakdown of Kohn Theorem Near Feshbach Resonance

We study the collective excitation frequencies of a harmonically trapped 85Rb Bose-Einstein condensate (BEC) in the vicinity of a Feshbach resonance. To this end, we solve the underlying Gross-Pitaevskii (GP) equation by using a Gaussian variational approach and obtain the coupled set of ordinary differential equations for the widths and the center of mass of the condensate. A linearization shows that the dipole mode frequency decreases when the bias magnetic field approaches the Feshbach resonance, so the Kohn theorem is violated.
Exploring adolescent engagement in sexual and reproductive health research in Kenya, Rwanda, Tanzania, and Uganda: A scoping review

Adolescent sexual and reproductive health (ASRH) in East Africa has prioritized research on the barriers to care, communication, and ASRH knowledge, attitudes, and practices. However, there is little research examining the extent to which meaningful adolescent engagement in research is achieved in practice and how this influences the evidence available to inform ASRH services. This review offers a critical step towards understanding current approaches to adolescent engagement in ASRH research and identifying opportunities to build a strengthened evidence base with adolescent voices at the centre. This scoping review is based on Arksey and O’Malley’s (2005) framework, employing a keyword search of four databases via OVID: Medline, Global Health, Embase and PsycINFO. Two reviewers screened title, abstract and full text to select articles examining ASRH in Tanzania, Rwanda, Kenya, and Uganda, published between 2000 and 2020. After articles were selected, data was extracted, synthesized, and thematically organized to highlight emerging themes and potential opportunities for further research. The search yielded 1201 results, 34 of which were included in the final review. Results highlight the methods used to gather adolescent perspectives of ASRH (qualitative), the content of those perspectives (knowledge, sources of information, gaps in information and adolescent friendly services), and the overall narratives that frame discussions of ASRH (risky sexual behaviour, stigma, and gender norms). Findings indicate the extent of adolescent engagement in ASRH research is limited, resulting in a lack of comprehensive evidence, consistent challenges with stigma, little information on holistic concepts and a narrow framing of ASRH. In conclusion, there is opportunity for more meaningful engagement of adolescents in ASRH research. This engagement can be achieved by involving adolescents more comprehensively throughout the research cycle and by expanding the range of ASRH topics explored, as identified by adolescents.
Weldability of ductile cast iron using AISI-316L stainless steel ER rod

This paper analyzes the corrosion resistance and the mechanical and microstructural properties of a welded joint of ductile cast iron using AISI316L stainless steel as filler material and three different heat treatments: preheating at 250 and 450 ºC and a post-weld annealing treatment. The results show the presence of ledeburite at the interface between the weld bead and the heat affected zone and at the root pass, along with a loss of strength and ductility when the welding coupons are preheated. An annealing does not eliminate the presence of ledeburite and leads to a massive precipitation of chromium carbides at the areas of the weld bead where dilution is higher. Corrosion rate was lower for the annealed coupon, but in that case, the corrosion of the weld bead increases due to the precipitation of chromium carbides.
Non Coding RNAs as Regulators of Wnt/β-Catenin and Hippo Pathways in Arrhythmogenic Cardiomyopathy

Arrhythmogenic cardiomyopathy (ACM) is an inherited cardiomyopathy histologically characterized by the replacement of myocardium by fibrofatty infiltration, cardiomyocyte loss, and inflammation. ACM has been defined as a desmosomal disease because most of the mutations causing the disease are located in genes encoding desmosomal proteins. Interestingly, the instable structures of these intercellular junctions in this disease are closely related to a perturbed Wnt/β-catenin pathway. Imbalance in the Wnt/β-catenin signaling and also in the crosslinked Hippo pathway leads to the transcription of proadipogenic and profibrotic genes. Aiming to shed light on the mechanisms by which Wnt/β-catenin and Hippo pathways modulate the progression of the pathological ACM phenotype, the study of non-coding RNAs (ncRNAs) has emerged as a potential source of actionable targets. ncRNAs comprise a wide range of RNA species (short, large, linear, circular) which are able to finely tune gene expression and determine the final phenotype. Some share recognition sites, thus referred to as competing endogenous RNAs (ceRNAs), and ensure a coordinating action. Recent cancer research studies regarding the key role of ceRNAs in Wnt/β-catenin and Hippo pathways modulation pave the way to better understanding the molecular mechanisms underlying ACM.
General Physical Properties of Gamma-Ray-emitting Narrow-line Seyfert 1 Galaxies

We present the results of a detailed multiwavelength study of a sample of 16 narrow-line Seyfert 1 (NLSy1) galaxies known in γ-rays so far. This includes a focused X-ray spectral analysis, to compare them with a more general NLSy1 population, and a broadband spectral energy distribution (SED) modeling considering the leptonic radiative processes to understand their similarity/dissimilarity with blazars. The X-ray spectra of γ-NLSy1 galaxies exhibit similarities to both typical NLSy1 sources below ≲2 keV and blazars at higher energies. We also find weak evidences of excess absorption in the soft X-ray spectra of three sources and a tentative detection of the Fe line in 1H 0323+342. A comparison of the broadband parameters derived from the SED modeling reveals the similarity of γ-NLSy1 objects to blazars, in particular to flat-spectrum radio quasars. The γ-NLS1 galaxies host relatively low power jets with small bulk Lorentz factors with respect to blazars, and this explains the paucity of such sources in the γ-ray catalogs and identification of even fewer parent population members. Many of the observed features of these intriguing objects suggest that they host low-mass black holes. The accretion rate in Eddington units can be considered as the driving factor to explain the physical properties of γ-NLSy1 sources, similar to that which is known for the general blazar population.
Cytocidal activities of hiv-1 vpr and saclp peptides bioassayed in yeast

Vpr is a protein of HIV-1 whose function in viral replication has been uncertain. In this study we have determined that Vpr peptides containing the amino acid sequence HFRIGCRHSRIG are cytocidal when added externally to yeast cells in water, but not salt solutions. For the most effective toxicity, HFRIGCRHSRIG should be surrounded on each side by about eight amino acids from the native sequence. A peptide from the most similar cellular protein, Saclp, also exhibited toxicity but at a five-fold weaker level.
Recent Studies on Protective Effects of Walnuts against Neuroinflammation

Neuroinflammation plays a significant role in the aging process and the pathophysiology of neurodegenerative diseases, such as Alzheimer’s disease. Accordingly, possible therapeutic strategies aimed at anti-inflammatory effects may be beneficial to brain health. Walnut kernels contain large quantities of unsaturated fatty acids, peptides, and phenolic compounds that have anti-inflammatory effects. The long-term intake of walnuts has been found to improve cognitive function and memory in rats and humans. However, the modulatory effect of walnuts on neuroinflammation has received much less attention. This review focuses on the potential influence and main regulating mechanisms of walnuts and their active ingredients on neuroinflammation, including the regulation of microglia activation induced by amyloid β or lipopolysaccharides, inhibition of peripheral inflammation mediated by macrophages, reduction in oxidative stress by decreasing free radical levels and boosting antioxidant defenses, and control of gut microbes to maintain homeostasis. However, the majority of evidence of the beneficial effects of walnuts or their components on neuroinflammation and neurodegeneration comes from experimental work, whereas evidence from clinical studies on the beneficial effects is scarcer and less conclusive. This review aims to provide new insights into the neuroinflammation-regulating mechanisms and natural active ingredients of walnuts and the development of walnut-based functional foods for the alleviation of neurodegenerative diseases.
ACM: Accuracy-Aware Collaborative Monitoring for Software-Defined Network-Wide Measurement

Software-defined measurement (SDM) is a simple and efficient way to deploy measurement tasks and collect measurement data. With SDM, it is convenient for operators to implement fine-grained network-wide measurements at the flow level, from which many important functions can benefit. The prior work provides mechanisms to distribute flows to monitors, such that each monitor can identify its non-overlapped subset of flows to measure, and a certain global performance criterion is optimized, such as load balance or flow coverage. Many applications of network management can benefit from a function that can find large flows efficiently, such as congestion control by dynamically scheduling large flows, caching of forwarding table entries, and network capacity planning. However, the current network-wide measurements neglect the diversity of different flows as they treat large flows and small flows equally. In this paper, we present a mechanism of accuracy-aware collaborative monitoring (ACM) to improve the measurement accuracies of large flows in network-wide measurements at the flow level. The structure of the sketch is an approximate counting algorithm, and a high-measurement accuracy can be achieved by merging the results from multiple monitors with sketches, which is termed as collaborative monitoring. The core idea of our method is to allocate more monitors to large flows and achieve the load balance to provide accuracy-aware monitoring. We modeled our problem as an integer–linear programming problem, which is NP-hard. Thus, we propose an approximation algorithm, named the improved longest processing time algorithm (iLPTA); we proved that its approximation ratio is (12+nl). We propose a two-stage online distribution algorithm (TODA). Moreover, we proved that its approximation ratio is (1+nl−1). The iLPTA is an offline approximation algorithm used to assign monitors for each flow, which prove the validity and feasibility of the core idea. The TODA is an online algorithm that attempts to achieve the load balance by selecting the monitor with the smallest load to a large flow. Our extensional experiment results verify the effectiveness of our proposed algorithms.
Bioengineered Carboxymethylcellulose–Peptide Hybrid Nanozyme Cascade for Targeted Intracellular Biocatalytic–Magnetothermal Therapy of Brain Cancer Cells

Glioblastoma remains the most lethal form of brain cancer, where hybrid nanomaterials biofunctionalized with polysaccharide peptides offer disruptive strategies relying on passive/active targeting and multimodal therapy for killing cancer cells. Thus, in this research, we report for the first time the rational design and synthesis of novel hybrid colloidal nanostructures composed of gold nanoparticles stabilized by trisodium citrate (AuNP@TSC) as the oxidase-like nanozyme, coupled with cobalt-doped superparamagnetic iron oxide nanoparticles stabilized by carboxymethylcellulose ligands (Co-MION@CMC) as the peroxidase-like nanozyme. They formed inorganic–inorganic dual-nanozyme systems functionalized by a carboxymethylcellulose biopolymer organic shell, which can trigger a biocatalytic cascade reaction in the cancer tumor microenvironment for the combination of magnetothermal–chemodynamic therapy. These nanoassemblies were produced through a green aqueous process under mild conditions and chemically biofunctionalized with integrin-targeting peptide (iRDG), creating bioengineered nanocarriers. The results demonstrated that the oxidase-like nanozyme (AuNP) was produced with a crystalline face-centered cubic nanostructure, spherical morphology (diameter = 16 ± 3 nm), zeta potential (ZP) of −50 ± 5 mV, and hydrodynamic diameter (DH) of 15 ± 1 nm. The peroxide-like nanostructure (POD, Co-MION@CMC) contained an inorganic crystalline core of magnetite and had a uniform spherical shape (2R = 7 ± 1 nm) which, summed to the contribution of the CMC shell, rendered a hydrodynamic diameter of 45 ± 4 nm and a negative surface charge (ZP = −41 ± 5 mV). Upon coupling both nanozymes, water-dispersible colloidal supramolecular vesicle-like organic–inorganic nanostructures were produced (AuNP//Co-MION@CMC, ZP = −45 ± 4 mV and DH = 28 ± 3 nm). They confirmed dual-nanozyme cascade biocatalytic activity targeted by polymer–peptide conjugates (AuNP//Co-MION@CMC_iRGD, ZP = −29 ± 3 mV and DH = 60 ± 4 nm) to kill brain cancer cells (i.e., bioenergy “starvation” by glucose deprivation and oxidative stress through reactive oxygen species generation), which was boosted by the magneto-hyperthermotherapy effect when submitted to the alternating magnetic field (i.e., induced local thermal stress by “nanoheaters”). This groundwork offers a wide avenue of opportunities to develop innovative theranostic nanoplatforms with multiple integrated functionalities for fighting cancer and reducing the harsh side effects of conventional chemotherapy.
Renormalization group approach for the wave packet dynamics in golden-mean and silver-mean labyrinth tilings

We study the quantum diffusion in quasiperiodic tight-binding models in one, two, and three dimensions. First, we investigate a class of one-dimensional quasiperiodic chains, in which the atoms are coupled by weak and strong bonds aligned according to the metallic-mean sequences. The associated generalized labyrinth tilings in d dimensions are then constructed from the direct product of d such chains, which allows us to consider rather large systems numerically. The electronic transport is studied by computing the scaling behavior of the mean-square displacement of the wave packets with respect to the time. The results reveal the occurrence of anomalous diffusion in these systems. By extending a renormalization group approach, originally proposed for the golden-mean chain, we show also for the silver-mean chain as well as for the higher-dimensional labyrinth tilings that in the regime of strong quasiperiodic modulation the wave-packet dynamics are governed by the underlying quasiperiodic structure.
Development of Two-factor Authentication Login System Using Dynamic Password with SMS Verification

: Two-factor authentication is a method of security that adds an extra layer of protection by requiring users to have two different authentication factors to verify identity. In recent years, institutions and organizations have become more concerned with the security aspects of their networks and systems, and one of these aspects is ensuring that the individual seeking access to the system is who he claims to be. With the advancement in technology and science over time, it has been seen that the safety and security of sensitive information or data transferred over the internet from one network to another has become increasingly relevant. The reliance on access to login accounts and the use of static passwords makes it easy for hackers, identity thieves, and fraudsters to gain access. Therefore, there is a need to find solutions to overcome the weaknesses to provide a more secure environment, hence, adding another step of authentication to individual identity makes it more difficult for an attacker to gain access to personal data. The proposed system generates dynamic password (OTP), which helps to add another level of security to the system against Dictionary attack, Brute-force attack especially Perfect-Man-In-The-Middle attack. The project used the Obafemi Awolowo University (OAU) e-portal login system as a case study. The system was implemented using the MySQL, CSS, HTML and PHP programming language and evaluated using reliability, effectiveness, efficiency, usability, expediency, and satisfactoriness as metrics. A questionnaire was formulated using a rating scale of 1 - 5, with 1 representing extremely poor and 5 representing excellent. The questionnaire was given to twenty (20) randomly selected students of OAU. The average score was determined and all the metrics scored higher than 4.0, which signifies a good rating. The system developed is a useful starting point for future development in security applications that require two-factor authentication. The result show that with the developed system, it can be assured that all logins are legitimate and that users are safe by verifying that the individual seeking access to the system is who he claims to be. A more user-friendly GUI is planned for the future and expanding the OTP algorithm such that password can be generated based on different cryptographic functions.