Miracle-dz/UniFAR-FTUs huggingface dataset:
IoT Based Security Alerts for the Safety of Industrial Area

The security of any business plays a vital role. All enterprises expect high security because of the increase in robbery. It is challenging to manage security with traditional ways of protection. This paper emphasizes the sensor-based security system to protect against any unwanted entry in the business area. This system is developed using IoT-based sensors, and electronic materials develop the security system. The present scenario ensures protection and security have become inevitably necessary. There is regressive progress in the protection sector as the influence of new technology is hitting its height. It’s well-known as a modern home when there is a current home with minimal human effort. This technology aims to automate industrial area security and partially replace the security individual, enabling us to monitor unsuspecting activities and be warned during critical situations. Since wireless and emerging technology is taking place, an automated intelligent protection system is being introduced.
Composition optimization of radiation resistance ODS alloy with high strength and ductility for advanced reactor based on machine learning

ABSTRACT Oxide dispersion strengthened (ODS) alloy is a candidate material for cladding in the fast reactor and the first wall in fusion reactor. Its radiation resistance is still a key problem restricting its application in the field of fast reactor and fusion reactor. By collecting, cleaning and screening the data which includes the composition, process, irradiation conditions, test conditions and yield strength of ODS alloy, the correlation between key components and irradiation hardening of ODS alloy were established by use of deep neural network, and the irradiation hardening prediction of ODS alloy was obtained. The results show that the irradiation hardening decreases significantly when the amount of Y2O3 is about 0.2%. In addition, it is found that when the addition of Y2O3 is greater than 0.3 wt%, the addition of Ti and Al has little effect on the irradiation hardening, while when the addition of Y2O3 is less than 0.2 wt%, the addition of a certain amount of Ti or Al will effectively inhibit the irradiation hardening of ODS alloy. According to the above results, combined with the high strength and ductility ODS alloy design obtained in the previous work, the composition optimization of ODS alloy with both strengthening and toughening and irradiation hardening resistance is further obtained.
Phyllodes and bipinnate leaves of Acacia exhibit contemporary continental-scale environmental correlation and evolutionary transition-rate heterogeneity

Abstract. In Acacia, 90% of species have drought-tolerant phyllodes as their adult foliage, the remaining species have bipinnate leaves. We conducted tests for relationships between foliage type and 35 bioclimatic variables at the continental scale and found significant correlations of both ‘moisture seasonality’ and ‘radiation in the coldest quarter’ with foliage type. Bipinnate species have lower species mean values of each variable, growing in stable soil moisture and generally darker environments (longer nights and lower incident radiation), on average. Evolutionary transformations between bipinnate and phyllodinous adult foliage exhibit asymmetry across the Acacia phylogeny, with transformations from bipinnate leaves to phyllodes occurring times faster than the reverse. At least three (and up to seven) transitions from phyllode to bipinnate adult foliage were inferred. Foliage type in the most recent common ancestor of extant Acacia is unresolved, some analyses favour a phyllodinous ancestor, others a bipinnate ancestor. Most ancestral nodes inferred as having bipinnate adult foliage had median age estimates of less than 5 million years (Ma), half having ages between 3 and 1.5 Ma. Acacia lineages with bipinnate adult foliage diversified during the Pliocene, perhaps in response to wetter climatic conditions experienced by the continental margin during this period.
Hexagonal fractal ultra-wideband antenna using Koch geometry with bandwidth enhancement

In this study, a design approach to achieve multiresonance phenomena in ultra-wideband (UWB) bandwidth using fractal geometry is investigated. The introduction of Koch fractal geometry in monopole as well as in the ground plane of the antenna generates additional resonances, which helps to achieve entire UWB operational bandwidth. Therefore the bandwidth is increased up to 122%. Moreover, the fractal nature of the antenna also facilitates to obtain the stable radiation pattern. The compact dimension 31 mm × 28 mm of the antenna exhibits nearly omnidirectional radiation pattern, with good reflection coefficient over the entire UWB frequency range. The proposed prototype is fabricated and its measured results are in good agreement with the simulated one. The time-domain analysis of the antenna is performed and it is found that fidelity factor is better than 0.81, which shows good pulse preserving capability of the antenna.
A bipolar mechanism for alpha-particle-induced soft errors in GaAs integrated circuits

The alpha-particle-induced collected charge in undoped LEC semi-insulating GaAs is measured in n/sup +/-i-n/sup +/ and n/sup +/-p-n/sup +/ isolation structures and is compared with the results of an analytical model based on a bipolar mechanism. In n/sup +/-i-n/sup +/ isolation structures, a collected-storage multiplication phenomenon induced by alpha-particle incidence is observed. The measured collected charge is about three times the alpha-particle-generated charge. This phenomenon can be attributed to charge transfer between two adjacent n/sup +/ regions. The dominant charge-collection process continues for 2.4 ns in n/sup +/-i-n/sup +/ isolation structures, but in n/sup +/-p-n/sup +/ isolation structures, it stops within 0.8 ns. The measured collected charge decreases as the isolation gap and background acceptor concentration increase. These experimental results can be explained semiquantitatively by the analytical model. This suggests that the primary mechanism of soft errors in GaAs ICs is a bipolar mechanism. >
Solvo-thermal Assisted-Synthesis; Experimental and Theoretical Characterization; and Biological Evaluations of Azo-Chelator-Ligand Chelates of Fe(II) and Zn(II) ions

Background and Objectives: The resistance of microbes against anti-bacteriological drugs leading to countless deaths and terminal ailments remains a basis for concern. Hence, the main interest of this study was to design, synthesize and report unusual compounds with basic hydrophilic moieties plus hydrophobic functions for anti-bacteriological studies. Materials and Methods: Analytical (melting points, micro-analysis (C. H.N.S) magnetic susceptibility (µeff), molar conductance plus solubility test) methods; spectral (Fourier Transform Infrared(FTIR)), electrospray ionization mass spectrometry (ESI-MS), nuclear magnetic resonance (1H- plus 13C-NMR), electronic(UV-Vis)) measurements; theoretical (DFT) evaluations were utilized for the characterization of the chelator and its chelates. All synthesized compounds were examined for antimicrobial and antioxidant potentials while the chelator was singly evaluated for solvent extractive capacity. Results: A nitrogenous based chelator-ligand, (E)-1-(((4,6-dimethylpyrimidin-2-yl)imino)methyl) naphthalen-2-ol(LH) synthesized through reflux-condensation reaction of 2-amino-4,6-dimethylpyrimidine with 2-hydroxy-1-napthaldehyde was acquired. Further reflux of the chelator-ligand with bivalent ions of iron-sulphate and zinc-acetate salts plus 2,2’-bipyridine resulted into separate bivalent-heteroleptic metallic chelates. The deprotonated nitrogen of the amine moiety and carbon of the carbonyl gave rise to the chelator-ligand with N2O2 chromophore detected around the metallic atom in the chelates. The µeff data plus UV-Vis spectral values of the chelates conformed to 6-coordinate octahedral geometry. All the chelates were high spin and non-ionic in dimethylsulfoxide (DMSO). The antimicrobial and antioxidant screening of the compounds presented moderate to fantastic results, while the metallic extractive proficiency of the chelator showed outstanding extractability for Fe2+ and Zn2+ions with an efficiency of 79.34% and 51.92% correspondingly. Conclusion: All the synthesized compounds are novel and demonstrated prospective biological, plus metallic ions’ extractive potentials required for designs plus isolation of products also for such actions.
Chemometrics

This new edition of this practical guide on chemometrics, emphasizes the principles and applications behind the main ideas in the field using numerical and graphical examples, which can then be applied to a wide variety of problems in chemistry, biology, chemical engineering, and allied disciplines. Presented in full color, it features expansion of the principal component analysis, classification, multivariate evolutionary signal and statistical distributions sections, and new case studies in metabolomics, as well as extensive updates throughout. Aimed at the large number of users of chemometrics, it includes extensive worked problems and chapters explaining how to analyze datasets, in addition to updated descriptions of how to apply Excel and Matlab for chemometrics.
SURVEY ON RELIABLE SLA-BASED MONITORING FOR BILLING SCHEME IN CLOUD COMPUTING

The facility to record and keep report of the usage of cloud resources in reliable and certifiable manner is a pioneer to both cloud service provider and to users too. Because usage information is potentially susceptible and must be verifiably correct. This is critical job because in an attempt to provide mutually integrated approach to the system, we come to know that computational overhead increase due to use of traditional asymmetric key operations which lead the system bottleneck. The success of any billing system depends upon factors like integrity, non repudiation. The traditional billing systems are restricted in the security capabilities. To overcome this drawback, paper introduces the billing system called THEMIS. This new billing system introduces some new attributes which provides security facilities to the billing transactions. This system brings new concept called Cloud Notary Authority (CNA) which administer the billing transactions and make it good enough to accept by users and cloud service provider. The Cloud Notary Authority generates the binding information which helps system to solve the future conflicts between users and cloud service provider. SLA (service level agreement) monitoring approach is introduced to provide forgery resistance which doesn’t allow to modify the information even by supervisor of the cloud service provider. The service level agreement monitoring approach is improved with TPM (Trusted Platform Module) which sort the information in very secure manner.
Peering into the Brain through the Retrosplenial Cortex to Assess Cognitive Function of the Injured Brain

The retrosplenial cortex (RSC) is a posterior cortical area that has been drawing increasing interest in recent years, with a growing number of studies studying its contribution to cognitive and sensory functions. From an anatomical perspective, it has been established that the RSC is extensively and often reciprocally connected with the hippocampus, neocortex, and many midbrain regions. Functionally, the RSC is an important hub of the default-mode network. This endowment, with vast anatomical and functional connections, positions the RSC to play an important role in episodic memory, spatial and contextual learning, sensory-cognitive activities, and multi-modal sensory information processing and integration. Additionally, RSC dysfunction has been reported in cases of cognitive decline, particularly in Alzheimer's disease and stroke. We review the literature to examine whether the RSC can act as a cortical marker of persistent cognitive dysfunction after traumatic brain injury (TBI). Because the RSC is easily accessible at the brain's surface using in vivo techniques, we argue that studying RSC network activity post-TBI can shed light into the mechanisms of less-accessible brain regions, such as the hippocampus. There is a fundamental gap in the TBI field about the microscale alterations occurring post-trauma, and by studying the RSC's neuronal activity at the cellular level we will be able to design better therapeutic tools. Understanding how neuronal activity and interactions produce normal and abnormal activity in the injured brain is crucial to understanding cognitive dysfunction. By using this approach, we expect to gain valuable insights to better understand brain disorders like TBI.
Decentralised detection strategies under communication constraints

Decentralised detection systems with parallel decision fusion topology have received significant attention, especially for surveillance radar systems. Typically, a deterministic test (DT) is employed, and the optimal local decision strategies and the fusion rule are determined according to the Neyman-Pearson (N-P) criterion. The authors show how, in practical applications, the communication bottle-neck may significantly limit the detection performance of distributed systems employing a conventional DT. A paradigm is introduced for decentralised detection under communication constraints, based on the concept of dependent randomisation (or scheduling) of the local decision and fusion rules. Numerical results show that the proposed approach provides improved performance over decentralised detection strategies based on deterministic tests, with a moderate increase in system complexity; the improvement is particularly noticeable in spiky (non-Gaussian) clutter environments.
Monte Carlo calculations of the influence on aircraft radiation environments of structures and solar particle events

Radiation transport codes are applied to calculate the influence of aircraft structure and loads on the internal environment from galactic cosmic rays. Significant shielding effects are predicted, while thermalization of the neutron flux can lead to enhanced single-event upset rates in devices containing boron. The enhanced environments due to large solar particle events are calculated and shown to be very important for both single-event effects in electronics and dose to crew and passengers.
Efficacy of Boron Neutron Capture Therapy in Primary Central Nervous System Lymphoma: In Vitro and In Vivo Evaluation

Background: Boron neutron capture therapy (BNCT) is a nuclear reaction-based tumor cell-selective particle irradiation method. High-dose methotrexate and whole-brain radiation therapy (WBRT) are the recommended treatments for primary central nervous system lymphoma (PCNSL). This tumor responds well to initial treatment but relapses even after successful treatment, and the prognosis is poor as there is no safe and effective treatment for relapse. In this study, we aimed to conduct basic research to explore the possibility of using BNCT as a treatment for PCNSL. Methods: The boron concentration in human lymphoma cells was measured. Subsequently, neutron irradiation experiments on lymphoma cells were conducted. A mouse central nervous system (CNS) lymphoma model was created to evaluate the biodistribution of boron after the administration of borono-phenylalanine as a capture agent. In the neutron irradiation study of a mouse PCNSL model, the therapeutic effect of BNCT on PCNSL was evaluated in terms of survival. Results: The boron uptake capability of human lymphoma cells was sufficiently high both in vitro and in vivo. In the neutron irradiation study, the BNCT group showed a higher cell killing effect and prolonged survival compared with the control group. Conclusions: A new therapeutic approach for PCNSL is urgently required, and BNCT may be a promising treatment for PCNSL. The results of this study, including those of neutron irradiation, suggest success in the conduct of future clinical trials to explore the possibility of BNCT as a new treatment option for PCNSL.
Morphometric Parameters of Plants of Crambe Spp. During Vegetation

Plants of Crambe spp. belong to Brassicaceae Burnett family and some of them are known as economically important species. Extracts of Crambe spp. exhibited numerous biological activities such as antioxidant, antimicrobial, antiproliferative, cytotoxic, etc. This study was aimed to research morphometric parameters of plants of five species of Crambe L. during vegetation season (from the start of vegetation, budding stage, flowering stage, and to fruitage): C. cordifolia Steven, C. hispanica subsp. abyssinica (Hochst. et R.E.Fr.) Prina, C. koktebelica (Junge) N. Busch, C. maritima L. , C. steveniana Rupr. The plant height, leaf length, leaf width, petiole length, length of panicle measured in cm, flower length, flower width, corolla length, petal length, petal width, fruit length, and fruit diameter measured in mm. The increment of investigated plants at the period of vegetation start-budding was 47.7–128.9 cm and plant height increased 2.67 (C. maritima) – 5.57 (C. koktebelica) times, at the budding-flowering period 9.7–94.4 cm and plant height increased 1.08 (C. cordifolia) – 1.85 (C. steveniana) times, at the period flowering-fruiting 8.20–26.0 cm and plant height increased 1.06 (C. cordifolia) – 1.10 (C. maritima) times. The variability of morphometric features during vegetation was following: height of plant from 0.57 to 13.98 %, length of leaf from 1.25 to 13.65 %, width of leaf from 2.17 to 48.10 %, length of petiole from 3.34 to 18.01 %, length of panicle from 1.41 to 13.09 %, width of panicle from 1.62 to 17.37 %, and stem diameter from 2.89 to 23.47 %. The study of morphometric parameters of flowers showed that the length of flower was 5.03–16.46 mm, width of flower 2.01–5.54 mm, corolla length 2.94–10.58 mm, petal length 3.63–7.11 mm, and petal width 3.64–5.51 mm depending on species. The morphometric parameters of fruits were the following: fruit length 3.02–10.10 mm and fruit diameter 4.08–8.78 mm depending on species. The thousand-fruit weight was 7.30–12.50 g. Selected morphometric parameters showed Pearson’s coefficients with high values (r = 0.843–0.994) during vegetation. A comparative study of the morphometric parameters of investigated species of Crambe in M.M. Gryshko National Botanical Garden had a variability of morphometric parameters depending on species, period of growth, and organ of a plant. These results can be useful for selective work and detecting the diagnostic signs.
CTP synthase does not form cytoophidia in Drosophila interfollicular stalks

CTP synthase (CTPS) catalyzes the final step of de novo synthesis of the nucleotide CTP. In 2010, CTPS has been found to form filamentous structures termed cytoophidia in Drosophila follicle cells and germline cells. Subsequently, cytoophidia have been reported in many species across three domains of life: bacteria, eukaryotes and archaea. Forming cytoophidia appears to be a highly conserved and ancient property of CTPS. To our surprise, here we find that polar cells and stalk cells, two specialized types of cells composing Drosophila interfollicular stalks, do not possess obvious cytoophidia. Moreover, we show that Myc level is low in these two types of cells, supporting the idea that Myc regulates cytoophidium assembly. Treatment with a glutamine analog, 6-diazo-5-oxo-l-norleucine (DON), increases cytoophidium assembly in main follicle cells, but not in polar cells or stalk cells. Our findings provide an interesting paradigm for the in vivo study of cytoophidium assembly and disassembly among different populations of follicle cells.
Study on the Agricultural Internet of Things Key Technology of the Intelligent Control of Sunlight Greenhouse Complex System

With the development of computer and biological sciences and information technology, the Internet of things (IOT) technology has been successfully applied to agricultural fields. Twenty-first Centuries is the times that science and technology are rapidly developed. The realization of agricultural modernization and integrated management is the urgently problem needed to be solved for modern agricultural technology. In this background, this paper puts forwards the key technology and existing problems of sunlight greenhouse complex system and intelligent IOT control system through the study of identified collecting and processing process of sunlight greenhouse temperature multi-nodes big system. The paper builds parameters mathematical model for the IOT bearing capacity from four aspects, such as, the occupied bandwidth, delay characteristics of the network, packet loss rate and power consumption, and uses MCU signal amplification system and a signal sensor to jointly control the temperature effect of sunlight greenhouse. Eventually, it finds that the occupied bandwidth of intelligent system has reached 35kb, the highest network delay has reached 20s, and the maximum of packet loss rate has reached 2.5%, which proves that the IOT characteristics of intelligent systems have more controlling complexity than that of the local system.
Variable group-delay dispersion equaliser based on a lattice-form programmable optical filter

The authors report the first realisation of an integrated-optic variable group-delay dispersion equaliser using a lattice-form programmable optical filter. The equaliser consists of seven tunable couplers and six asymmetrical Mach-Zehnder interferometers cascaded alternately in series. The dispersion can be varied step by step from -923 ps/nm to +653 ps/nm.
Anet: A Deep Neural Network for Automatic 3D Anthropometric Measurement Extraction

3D Anthropometric measurement extraction is of paramount importance for several applications such as clothing design, online garment shopping, and medical diagnosis, to name a few. State-of-the-art 3D anthropometric measurement extraction methods estimate the measurements either through some landmarks found on the input scan or by fitting a template to the input scan using optimization-based techniques. Finding landmarks is very sensitive to noise and missing data. Template-based methods address this problem, but the employed optimization-based template fitting algorithms are computationally very complex and time-consuming. To address the limitations of existing methods, we propose a deep neural network architecture which fits a template to the input scan and outputs the reconstructed body as well as the corresponding measurements. Unlike existing template-based anthropocentric measurement extraction methods, the proposed approach does not need to transfer and refine the measurements from the template to the deformed template, thereby being faster and more accurate. A novel loss function, especially developed for 3D anthropometric measurement extraction is introduced. Additionally, two large datasets of complete and partial front-facing scans are proposed and used in training. This results in two models, dubbed Anet-complete and Anet-partial, which extract the body measurements from complete and partial front-facing scans, respectively. Experimental results on synthesized data as well as on real 3D scans captured by a photogrammetry-based scanner, an Azure Kinect sensor, and the very recent TrueDepth camera system demonstrate that the proposed approach systematically outperforms the state-of-the-art methods in terms of accuracy and robustness.
Acupuncture for Tourette syndrome: a case report

Tourette syndrome (TS) is a group of complex neuropsychiatric disorders characterized by sudden repetitive, paroxysmal, involuntary movements or vocalization.1 The incidence of TS is about 0.3%–0.8% of the child population.2 The efficacy of pharmacological therapy for treating TS remains unsatisfactory and it is prone to adverse reactions.3 Therefore, alternative treatments are urgently needed. As a nonpharmacological therapy, acupuncture may have a role in the treatment of TS. Here, we present the case of a child diagnosed with TS who appeared to be successfully treated with acupuncture.