Miracle-dz/UniFAR-FTUs huggingface dataset:
Fog Assisted 6TiSCH Tri-Layer Network Architecture for Adaptive Scheduling and Energy-Efficient Offloading Using Rank-Based Q-Learning in Smart Industries

The smart industry is a significant realization of the internet of things. IPv6 over time-slotted channel hopping (6TiSCH) is the new standard that has emerged as a promising technology for industrial communications. The demanding issues of smart industries include scalability, latency, and energy efficiency. Existing studies have presented scheduling schemes for 6TiSCH-based industries. However, these works are not suitable for practical scenarios where emergencies frequently occur. Hence, this study aims to improve scalability, latency, and energy efficiency in 6TiSCH-based smart industries for practical scenarios. A new fog assisted 6TiSCH Tri-Layer architecture is designed with a network layer, smart communication layer, and cloud layer. Scalability and latency are realized by fog computing in the smart communication layer. The rough set-based root selection (R2S) algorithm improves the network layer’s energy efficiency by constructing an R2S and destination-oriented direct acyclic graph. Emergency cognizant distributed adaptive scheduling minimizes the latency for data transmission through fuzzy Bayesian learning-based parent selection and multiobjective gravitational search algorithm-based channel selection. In the fog layer, the rank-based Q-learning algorithm performs offloading to manage the energy consumption among fog nodes. Industrial data are stored in the cloud layer where they can be accessed by end users. The performance is evaluated by modeling the tri-layer 6TiSCH network in network simulator-3.26. Experiments show that the proposed work achieves satisfactory results in terms of energy consumption, latency, end-to-end delay, response time, and transmission efficiency.
COMPACT SELF-QUADRUPLEXING ANTENNA BASED ON SIW CAVITY-BACKED WITH ENHANCED ISOLATION

A self-quadruplexing antenna based on substrate integrated waveguide (SIW) is presented. A slot is engraved on its top surface of the SIW cavity, which generates four different resonant frequencies (around 6.54, 7.64, 8.30, and 9.60 GHz) when it is excited by four 50 Ω microstrip feed lines. Also, each resonant frequency can be controlled independently. Due to a quarter mode (QM) cavity, the antenna size becomes compact. The measured results show that the isolation between any two ports is more than 32 dB, and the estimated gain is more than 7.8 dBi at the operating frequencies. The proposed design is simple to fabricate, compact, and easy to integrate with the planner circuits.
Hydrogen Bond Acceptor Properties of Ionic Liquids and Their Effect on Cellulose Solubility

The fact that some ionic liquids can dissolve cellulose is well known, but little systematic data is available regarding the influence of structural aspects of the ionic liquid on the dissolution of cellulose. Using ethanol as model compound, 1 H NMR spectroscopy of a large number of ionic liquids was conducted. The data obtained correlates with the anion-dependent hydrogen bond acceptor properties (determined as β-values by Spange and Lungwitz), and can be used to distinguish between cellulose-dissolving and non-dissolving ionic liquids. From the cellulose solubility in binary ionic liquid mixtures, the modulating effect of both, the non-dissolving anion and the cation has been derived.
Features of Zr-rich corner of the Zr-N-O ternary system by controlled low-pressure oxidation and thermodynamic analysis

ABSTRACT In order to clarify the Zr-rich corner of the Zr-N-O ternary system, a series of nitridation and controlled low-pressure oxidation heatings were made on zirconium metal plates. The experiments were made in separated reaction sequences, which were (1) oxidation of pre-nitrided zirconium, and (2) simultaneous nitridation and oxidation of zirconium. Low-partial pressures of oxygen were obtained by using a redox couple of either Mo/MoO2 or Cu2O/CuO. The samples were characterized by X-ray diffraction, optical microscopy, and electron probe micro analysis. Experimental results were coupled with a preliminary thermodynamic analysis with a sublattice formalism to draw a provisional ternary isotherm at 1373 K.
Effect of individualized home-based intervention program in preterm infants at 35-36 weeks gestational age using prechtl’s general movement assessment: a pre-post experimental study

Background: Preterm birth associated with various abnormalities can have a detrimental impact on an infant’s developmental outcome which marks the need of a landmark tool to detect an abnormality at an early age and incorporate specific intervention strategies. Positive effects of intervention on developmental outcomes have been noted, however tailored home-based intervention programs on developmental enhancements are essential.
Ideal Investment Protection in Optimistic Perceptions: Evidence From the Indian Equity Options Market

The study is an experiential assessment on the ability of the Indian equity options market to resist the adverse impacts that arise from unexpected changes in the underlying equity market, focusing on two distinct investor perceptions within optimistic dimension in the market, viz. the recovery phase and the growth phase, which were evident in the Indian market scenario post the period of financial upheavals due to global economic crisis during the latter half of 2000s. The risk mitigation capability of the options is examined in terms of long run integration and short run re-equilibrating relationship shown by near month calls and puts with varied stages of exercisability with their underlying equity segment in the National Stock Exchange of India. Further, the ideal hedge sizes of the options and the hedge gains resulting from affecting them in the investment profile are identified under minimum variance framework, using Diagonal BEKK GARCH. The results are indicative that all different options segments express to have the expected resistance ability during both bullish perceptions under consideration, and prove that optimal use of options with equity portfolio provides assured hedge gains in terms of reduction in un-anticipatable variances.
Successful clinical management of contagious ecthyma (Orf) in goat: A case report

Clinical management of orf in animals is a challenging task due to as there is no specific treatment for this viral infection. Orf disease caused by a double-standard (ds) DNA virus belongs to poxviridae family. A female black goat of 1.5 years presented with the history of lameness and proliferative skin lesions around oral cavity. On clinical examination characteristics lesions and physical examination findings pointed towards contagious ecthyma. Animal was treated with Ceftriaxone (15mg/kg, IM, BID, Intacef®) for five days, meloxicam (0.5mg/kg IM, Melonex®) for 3 days. The owner was guided to a regular application of boric acid mixed with desi curd on skin lesions and honey for oral mucosal wounds, twice a day. Good personal hygiene (both veterinarian and owner) was maintained in order to avoid zoonotic transmission. Animal shown drastic improvement in the clinical condition with complete recovery from oral lesions after 30 days of treatment.
EGG QUALITY OF THE NIGERIAN LOCAL CHICKEN AS INFLUENCED BY SOME MAJOR GENES

An investigations was carried out to determine the effect of the major genes of frizzling and naked neck on the external and internal egg quality traits of the Nigerian local chicken. Egg weight significantly (P < 0.01) favoured the frizzled local chicken and the naked-necked local chicken over the fully feathered (normal ) local chicken. The frizzling gene, F, caused an increase of 8.13% in weight while the naked neck gene Na, increased egg weight by 5.85%. The Na gene caused the production of better egg shape index (0.73) when compared to F and nana, ff genotypes. Eggs of frizzed and naked-neck locals also had significantly (P < 0.05) better Haugh unit, percent shell, percent albumen and percent yolk than the normal feathered counterpart. It is therefore reasonable to incorporate the major genes frizzling and naked-neck in producing a locally-adapter commercial egg strain
Investigation of Aliphatic and Polycyclic Aromatic Hydrocarbons in
Surface Sediments of Brunei Bay, East Malaysia

The surface distributions of aliphatic hydrocarbons and polycyclic aromatic hydrocarbons (PAHs) were investigated from coastal sediments of Brunei Bay, southern South China Sea. The concentrations of total n-alkane (TNA) and 16 USEPA priority PAHs ranged from 0.67 to 9.88 μg/g and 4.72 to 102 ng/g, respectively. Principal component analysis (PCA) clustered the hydrocarbons in surface sediments according to their relationship and geographical locations, anticipated to the inputs and activities in proximity. Biomarker diagnostic ratios revealed that biogenic n-alkane inputs in the coastal sediments are exported from the fluviomarine and mangrove swamp environment, while the PAHs inputs are derived from mixed petrogenic and petroleum combustion residues. Overall, the level of PAHs in the study area is between low to moderate, based on the comparison with other areas worldwide.
Design and Development of Continuous Passive Motion (CPM) for Fingers and Wrist Grounded-Exoskeleton Rehabilitation System

Impairments of fingers, wrist, and hand forearm result in significant hand movement deficiencies and daily task performance. Most of the existing rehabilitation assistive robots mainly focus on either the wrist training or fingers, and they are limiting the natural motion; many mechanical parts associated with the patient’s arms, heavy and expensive. This paper presented the design and development of a new, cost-efficient Finger and wrist rehabilitation mechatronics system (FWRMS) suitable for either hand right or left. The proposed machine aimed to present a solution to guide individuals with severe difficulties in their everyday routines for people suffering from a stroke or other motor diseases by actuating seven joints motions and providing them repeatable Continuous Passive Motion (CPM). FWRMS approach uses a combination of; grounded-exoskeleton structure to provide the desired displacement to the hand’s four fingers flexion/extension (F/E) driven by an indirect feed drive mechanism by adopting a leading screw and nut transmission; and an end-effector structure to provide angular velocity to the wrist flexion/ extension (F/E), wrist radial/ulnar deviation (R/U), and forearm supination/pronation (S/P) driven by a rotational motion mechanism. We employed a single dual-sided actuator to power both mechanisms. Additionally, this article presents the implementation of a portable embedded controller. Moreover, this paper addressed preliminary experimental testing and evaluation process. The conducted test results of the FWRMS robot achieved the required design characteristics and executed the motion needed for the continuous passive motion rehabilitation and provide stable trajectories guidance by following the natural range of motion (ROM) and a functional workspace of the targeted joints comfortably for all trainable movements by FWRMS.
Waveform Control Pulsed Magnetization of GdBaCuO Bulk Using Negative Feedback at 60 K

The practical use of high-temperature superconducting bulk electric rotating machines is limited, despite their increased power densities over permanent magnet machines, by the magnetization process of the bulks. A fast and effective magnetization process is needed to promote the practical application of superconducting machines. This is why we developed a method for magnetizing bulk superconductors and trapping high magnetic flux density using a single pulsed field magnetization (PFM). The method of magnetization of the superconducting bulk magnet by controlling the applied magnetic field has been tested previously at 77 K and 70 K. We tried during this study to trap high magnetic flux density in a GdBaCuO bulk at 60 K, to confirm that the method is effective at a lower temperature. Moreover, we tried to improve the method by using negative feedback of the magnetic flux density on the growth sector, to control the chopping of the current flowing through the magnetizing coils. We managed to reduce the temperature rise during the pulse by 10 K compared to a passive PFM and trapped a maximum of 2.17 T in the center of the bulk sample, the improvements compared to passive PFM at 60 K are remarkable.
Exploiting sparse representation in the P300 speller paradigm

: A Brain-Computer Interface (BCI) aims to produce a new way for people to communicate with computers. Brain signal classiﬁcation is a challenging issue owing to the high-dimensional data and low Signal-to-Noise Ratio (SNR). In this paper, a novel method is proposed to cope with this problem through sparse representation for the P300 speller paradigm. This work is distinguished using two key contributions. First, we investigate sparse coding and its feasibility for brain signal classiﬁcation. Training signals are used to learn the dictionaries and test signals are classiﬁed according to their sparse representation and reconstruction errors. Second, sample selection and a channel-aware dictionary are proposed to reduce the effect of noise, which can improve performance and enhance the computing efﬁciency simultaneously. A novel classiﬁcation method from the sample set perspective is proposed to exploit channel correlations. Speciﬁcally, the brain signal of each channel is classiﬁed jointly using its spatially neighboring channels and a novel weighted regulation strategy is proposed to overcome outliers in the group. Experimental results have demonstrated that our methods are highly effective. We achieve a state-of-the-art recognition rate of 72.5%, 88.5%, and 98.5% at 5, 10, and 15 epochs, respectively, on BCI Competition III Dataset II.
QSAR of Antioxidants

Antioxidants are substances that protect cells from the damaging effects of oxygen radicals, which are chemicals that play a part in some diseases such as cancer and others. Antioxidants are expected to be promising drugs in the management of these diseases by removing oxidative stress. Most of the modeling approaches involved in designing new antioxidants is based on Quantitative Structure-Activity Relationship (QSAR). A number of QSAR studies have been conducted to elucidate the structural requirements of antioxidants for their activities in order to predict the potency of these compounds with regard to the targeted activity and to direct the synthesis of more potent analogues. The main focus of this chapter is on the QSAR modeling of antioxidant compounds. The authors provide different QSAR studies of antioxidant compounds and try to compare between them in terms of the best models obtained and their use in designing potential new drugs.
Low-speed control of PMSM based on ADRC + FOPID

ABSTRACT In this study, a new low-speed control strategy based on active disturbance rejection control (ADRC) + fractional-order proportion integration differentiation (FOPID) is proposed to realize fast and accurate control of permanent magnet synchronous motor (PMSM) at low speed. First, a new nonlinear function with enhanced smoothness and continuity around the origin is designed. On the basis of the above nonlinear function, an improved extended state observer (ESO) is developed. Then, the parameters of ESO are adjusted online by the designed fuzzy rules. Considering the improved dynamic performance of the FOPID controller, the nonlinear state error feedback control law module of ADRC is replaced by FOPID to calculate the proportion, differential, and integral of the error signal. Finally, the simulation analysis of the new low-speed control system based on ADRC + FOPID is carried out. The results show that the proposed algorithm has faster response speed and better anti-interference ability in the low-speed control of PMSM than the traditional ADRC.
Smartphone-Based NFC Potentiostat for Wireless Electrochemical Sensing

Most electrochemical sensing requires affordable, portable and easy-to-use electrochemical devices for use in point-of-care testing and resource-limited settings. This work presents the design and evaluates the analytical performance of a near-field communication (NFC) potentiostat, a flat card-sized electrochemical device containing a microchip for electrical analysis and an NFC antenna for smartphone connection. The NFC interface is a wireless connection between the microchip and smartphone to simplify measuring units and make the potentiostat into a passive operated device, running without a battery. The proposed potentiostat can perform the common electrochemical techniques including cyclic voltammetry and chronoamperometry with a current range and voltage range of ±20 µA and ±0.8 V. The performance of the NFC potentiostat is compared to a commercial benchtop potentiostat using ferricyanide as a standard solution. The results show that the NFC potentiostat is comparable to a commercial benchtop potentiostat for both cyclic voltammetry and chronoamperometry measurements. The application of the proposed potentiostat is demonstrated by measuring ascorbic acid concentration. As described, the NFC potentiostat, which is compatible with a smartphone, is low-cost, small in size and user-friendly. Thus, the device can be developed for on-site measurement to apply in various fields.
Prediction of remaining useful life for lithium-ion battery with multiple health indicators

Lithium-ion (Li-ion) battery has become a primary energy form for a variety of engineering equipments. To ensure the equipments’ reliability, it is crucial to accurately predict Liion battery’s remaining capacity as well as its remaining useful life (RUL). In this study, we propose a novel method for Li-ion battery’s online RUL prediction, which is based on multiple health indicators (HIs) and can be derived from the battery’s historical operation data. Firstly, four types of indirect HIs are built according to the battery’s operation current, voltage and temperature data respectively. On this basis, a generalized regression neural network (GRNN) is presented to estimate the battery’s remaining capacity, and the nonlinear autoregressive approach (NAR) is applied to predict the battery’s RUL based on the estimated capacity value. Furthermore, to reduce the interference, twice wavelet denoising are performed with different thresholds. A case study is conducted with a NASA battery dataset to demonstrate the effectiveness of the method. The result shows that the proposed method can obtain Li-ion batteries’ RUL effectively.
Contrasting Structural Stabilities and New Pressure-Induced Polymorphic Transitions of Scheelite- and Zircon-Type ZrGeO4

As promising optical materials, the structures of scheelite- and zircon-type ZrGeO4 have been investigated by Raman spectroscopy at pressures up to 51.6 GPa using diamond anvil cells. For scheelite-type ZrGeO4, two reversible phase transitions at 16.2 and 41.2 GPa were identified from the Raman spectral profiles and pressure dependence of the Raman shift upon compression. The first transition can be interpreted as the change of the tetragonal scheelite structure to the monoclinic fergusonite structure. By comparison with a previously reported isomorphic crystal, we infer that the second high pressure phase likely has a monoclinic structure. The zircon-type ZrGeO4 initially transforms to a scheelite structure at ∼10.1 GPa, while such phase transformation is completed at around 24.6 GPa, and remains stable up to 37.6 GPa. Moreover, the zircon-to-scheelite phase transition is irreversible, and the high pressure scheelite structure cannot be recovered upon decompression. These phase transitions for different .
Coalitional Game Framework for Content Distribution Using Device-to-Device Communication

We consider a set of cellular users associated with a base station (BS) in a cellular network that employs Device-to-device (D2D) communication. A subset of the users request for some files from a server associated with the BS. Now, some of the users can potentially act as relays and forward the requested files, or partitions of files, from the BS to some of the requesting users (destination nodes) over D2D links. However, this requires cooperation among the cellular users. Also, when cellular users cooperate with each other, the total amount of energy consumed in transferring the requested files from the BS to the destination nodes can usually be considerably reduced compared to the case when each user separately downloads the file it needs from the BS. In this paper, we seek conditions under which users have an incentive to cooperate with each other. To this end, we model the above scenario using the frameworks of cooperative game theory and stable partitions in coalitional games. We consider two different models for file transfer within a coalition: (i) Model A, in which the BS can split a file into multiple partitions and send these partitions to different relays, which multicast the partitions to the destination nodes of the coalition, and (ii) Model B, in which for each file, the BS sends the entire file to a single relay, which multicasts it to the destination nodes of the coalition. First, we explore the question of whether it is beneficial for all the cellular users to cooperate, i.e., whether the grand coalition is stable. For this we use the solution concept of core from cooperative game theory. We show that, in general, the above coalitional game under Model A may have an empty core, i.e., it may not be possible to stabilize the grand coalition. Next, we provide conditions under which 1) the core is always non-empty and 2) a $\mathbb {D}_c$-stable partition always exists. Also, we show that under Model B, the problem of assigning relays to destination nodes so as to maximize the sum of utilities of all the users is NP-Complete. Finally, using numerical computations, we evaluate the energy consumption of the cellular users under the cooperation and no cooperation cases for Model A and the performance of different heuristics for solving the above problem of assigning relays to destination nodes under Model B.
The Influence of Isosaccharinic Acid on the Solubility of Np(IV) Hydrous Oxide

Several sets of solubility experiments were conducted to determine the influence of isosaccharinic acid (ISA) on the solubility of Np02(am). The solubility of Np02(am) was measured either as a function of pH (ranging from 2 to 8) at fixed ISA concentrations (0.008 M and 0.0016 M) or as a function of the concentration of ISA (ranging from 0.00008 M to 0.04 M) at a fixed pH (about 5). We observed that the presence of ISA significantly increased the solubility of Np02(am) in the pH region under study. The increase in the solubility of Np02(am) was interpreted in terms of the formation of Np(IV) hydroxy isosaccharinate complexes Np(OH),ISA(aq) and Np(OH)2(ISA)2(aq). Using Pitzer's ion-interaction approach, the logarithm of the formation constants were calculated to be 43.2 for Np + 3 0 H " + ISA" Np(OH),ISA(aq) and 36.9 for Np + 2 0 H + 2ISA" Np(OH)2(ISA)2(aq).
Biosensors Based on Graphene

Today, development of rapid and sensitive methods for direct detection of foodborne pathogens appeared as crucial matter due to their impact on human health. In this manner, graphene-based nanomaterials have received much attention as reliable electrochemical biosensors due to their exceptional combination of intrinsic properties such as high conductivity, stability and biocompatibility. The scope of this chapter is to provide a brief history of the electrochemical biosensors used for the detection of microbial pathogens and recent progress of graphene used in electrochemical biosensors for foodborne pathogens detection.