Selection criteria of image reconstruction algorithms for terahertz short-range imaging applications.

Terahertz (THz) imaging has been regarded as cutting-edge technology in a wide range of applications due to its ability to penetrate through opaque materials, non-invasive nature, and its increased bandwidth capacity. Recently, THz imaging has been extensively researched in security, driver assistance technology, non-destructive testing, and medical applications. The objective of this review is to summarize the selection criteria for current state-of-the-art THz image reconstruction algorithms developed for short-range imaging applications over the last two decades. Moreover, we summarize the selected algorithms' performance and their implementation process. This study provides an in-depth understanding of the fundamentals of image reconstruction algorithms related to THz short-range imaging and future aspects of algorithm processing and selection.

Green Synthesis and Investigation of Surface Effects of α-Fe2O3@TiO2 Nanocomposites by Impedance Spectroscopy.

Nanocomposites based on iron oxide/titanium oxide nanoparticles were prepared by employing green synthesis, which involved phytochemical-mediated reduction using ginger extract. XRD confirmed the composite formation, while scanning electron microscopy (SEM), dynamic light scattering (DLS), and energy-dispersive X-ray spectroscopy (EDX) was employed to investigate the particle size, particle morphology, and elemental analysis. SEM indicated the formation of particles with non-uniform shape and size distribution, while EDX confirmed the presence of Fe, Ti and oxygen in their elemental state. The surface effects were investigated by Fourier transform infrared radiation (FTIR) and impedance spectroscopy (IS) at room temperature. IS confirmed the co-existence of grains and grain boundaries. Thus, FTIR and IS analysis helped establish a correlation between enhanced surface activity and the synthesis route adopted. It was established that the surface activity was sensitive to the synthesis route adopted. The sample density, variation in grain size, and electrical resistivity were linked with surface defects, and these defects were related to temperature. The disorder and defects created trap centers at the sample's surface, leading to adsorption of CO2 from the environment.

A Low-Cost Metamaterial Sensor Based on DS-CSRR for Material Characterization Applications.

This paper presents a metamaterial sensor using a double slit complementary square ring resonator (DS-CSRR) that has been utilized for the measurement of dielectric materials, especially coal powder. The design is optimized for best performance of deep notch depth in transmission coefficient (Magnitude of S21). Sensitivity analysis of transmission coefficient with respect to structure dimensions has been carried out. Metamaterial properties of double negative permitivity and permeability were extracted from the S-parameters of this sensor. The optimized structure is fabricated using low cost FR-4 PCB board. Measured result shows resonance frequency of 4.75 GHz with a deep notch up to -41 dB. Simulated and measured results show good agreement in desired frequency band. For material characterization, first, two known materials are characterized using this metamaterial sensor. Their respective resonances and dielectric constants are known, so the transcendental equation of the sensor is formulated. Afterwards, the proposed sensor is used for dielectric measurement of two types of coal powder, i.e., Anthracite and Bituminous. The measured value of dielectric constant of Anthracite coal is 3.5 and of Bituminous coal is 2.52. This is a simple and effective nondestructive measurement technique for material testing applications.

Semi-supervised associative classification using ant colony optimization algorithm.

Labeled data is the main ingredient for classification tasks. Labeled data is not always available and free. Semi-supervised learning solves the problem of labeling the unlabeled instances through heuristics. Self-training is one of the most widely-used comprehensible approaches for labeling data. Traditional self-training approaches tend to show low classification accuracy when the majority of the data is unlabeled. A novel approach named Self-Training using Associative Classification using Ant Colony Optimization (ST-AC-ACO) has been proposed in this article to label and classify the unlabeled data instances to improve self-training classification accuracy by exploiting the association among attribute values (terms) and between a set of terms and class labels of the labeled instances. Ant Colony Optimization (ACO) has been employed to construct associative classification rules based on labeled and pseudo-labeled instances. Experiments demonstrate the superiority of the proposed associative self-training approach to its competing traditional self-training approaches.

Exposure of broiler chickens to chronic heat stress increases the severity of white striping on the pectoralis major muscle.

A study was conducted to evaluate the effect of cyclic or chronic heat stress (HS) on the incidence and severity of white striping (WS) and histopathological changes in breast muscle of broiler chickens. One hundred eighty 1-day-old male chickens were randomly assigned to three research groups: control (standard temperature throughout the experiment), cyclic HS (32 ºC between 0800 and 2000 h from day 21 until the end of the experiment), and chronic HS (32 ºC from day 21 onwards). Cyclic and chronic HS groups showed a significant (P < 0.05) decrease in body weight gain and feed intake and poor feed conversion ratio in grower, finisher, and overall period. Serum biochemical profile was not different among the groups except globulin and P which were significantly higher (P < 0.05 and P < 0.001, respectively), in cyclic and chronic HS groups. Overall, WS incidence was numerically higher in control birds followed by chronic HS and cyclic HS birds, respectively. The chronic HS group had a lower incidence of mild (score 1) and a higher incidence of severe (score 2) WS lesions compared to control and cyclic HS groups. Histopathological analysis revealed that broilers subjected to chronic HS showed increased severity of myodegenerative changes, perivenular CD3 + cell infiltration, and lipidosis compared to control group. However, control and cyclic HS groups were not different in terms of histopathological lesions. In conclusion, this study confirms that cyclic or chronic HS may adversely affect the growth performance and that chronic HS may increase the severity of WS in broiler chickens.

Enhanced Performance for Multi-Forearm Movement Decoding Using Hybrid IMU-sEMG Interface.

Control of active prosthetic hands using surface electromyography (sEMG) signals is an active research area; despite the advances in sEMG pattern recognition and classification techniques, none of the commercially available prosthetic hands provide the user with an intuitive control. One of the major reasons for this disparity between academia and industry is the variation of sEMG signals in a dynamic environment as opposed to the controlled laboratory conditions. This research investigated the effects of sEMG signal variation on the performance of a hand motion classifier due to arm position variation and also explored the effect of static position and dynamic movement strategies for classifier training. A wearable system is used to measure the electrical activity of the muscles and the position of the forearm while performing six classes of hand motions. The system is made position aware (POS) using inertial measurement units (IMUs) for different arm movement gestures. The hand gestures are decoded under both static and dynamic forearm movements. Four time domain (TD) features are extracted from the sEMG signals along with IMU-based arm position information. The features are trained and tested using linear discriminant analysis (LDA) and support vector machine (SVM) for both TD and TD-POS features. The results for the SVM show a significant difference between the static and dynamic approaches, while the TD-POS features show enhanced classification performance in comparison to the TD-based classification. Results have shown the effectiveness of the dynamic training approach and sensor fusion techniques to improve the performance of existing stand-alone sEMG-based prosthetic control systems.

Prevalence and Molecular Diagnosis of Babesia ovis and Theileria ovis in Lohi Sheep at Livestock Experiment Station (LES), Bahadurnagar, Okara, Pakistan.

BACKGROUND: Babesia ovis and Theileria ovis are among the important and main etiological agents causing ovine babesiosis and ovine theileriosis, causing severe economic losses among sheep and goats. The aim of the present study was to determine the prevalence and molecular diagnosis of B. ovis and T. ovis in Lohi sheep at Livestock Experiment Station Bahadurnagar, Okara, Pakistan. METHODS: The prevalence of B. ovis and T. ovis was investigated in 200 Lohi sheep of mixed age and sex by PCR during 2011. The assay was employed using primers Bbo-F & Bbo-R, specific for a 549-bp fragment in B. ovis genomic DNA and primers TSsr 170F & TSsr 670R, specific for a 520-bp fragment in T. ovis genomic DNA. The animals were also screened for both haemoparasites through stained thin blood smears. RESULTS: Thirty two (16%), 48 (24%) and 26 (13%) were the number of animals found positive for B. ovis, T. ovis and for mixed infection with both parasites, respectively, through microscopy. Sixty eight (34%), 73 (37%) and 42 (21%) were the number of animals found positive for B. ovis, T. ovis and for mixed infection with both parasites, respectively, through PCR test. CONCLUSION: The results indicate the high sensitivity of PCR for surveying babesiosis and theileriosis and there is noteworthy prevalence of these diseases in sheep at an experimental station where environmental conditions are relatively controlled as compared to field conditions.

Prevalence, molecular diagnosis and treatment of Mycoplasma conjunctivae isolated from infectious keratoconjunctivitis affected Lohi sheep maintained at Livestock Experiment Station, Bahadurnagar, Okara, Pakistan.

Mycoplasma conjunctivae are etiological agents of infectious keratoconjunctivitis (IKC), commonly known as pink-eye in domestic sheep, goats and other wild animals in many parts of the world. A few young Lohi lambs maintained at Livestock Experiment Station (LES), Bahadurnagar, Okara, Pakistan showed clinical signs and symptoms of conjunctivitis, keratitis, severe lacrimation and varying degree of blindness. During January to March, 2011, a total of 36 ocular swabs were collected from IKC affected animals and were processed for isolation, identification, and characterization of M. conjunctivae. Sixteen (44.44 %) out of 36 samples showed turbidity in PPLO broth. Twelve (75 %) out of 16 broth samples showed colony growth on PPLO agar. All 16 (44.44 %) out of 36 turbid broth samples, 12 (75 %) out of 16 cultured on agar plate samples, and 21 (59 %) out of 36 sheep ocular direct swab samples were found positive for M. conjunctivae through polymerase chain reaction test by using M. conjunctivae-specific primer pair McoF1 and McoR1 and detecting a 750 base pair fragment on agarose gel. Topical application of 0.5 % sterile solution of gentamycin (100 mg/ml) (Gentafar 10 %, FARVET, Netherlands) proved suitable for the treatment of IKC in Lohi lambs as all clinical signs of IKC disappeared after 5 days of treatment with this antibiotic. This is the first report about the prevalence, molecular diagnosis, and treatment of M. conjunctivae in Lohi sheep affected with infectious keratoconjunctivitis at LES, Bahadurnagar, Okara, Pakistan.

Prevalence and molecular diagnosis of Trypanosoma evansi in Nili-Ravi buffalo (Bubalus bubalis) in different districts of Punjab (Pakistan).

The prevalence of Trypanosoma evansi was investigated in 1,250 Nili-Ravi buffaloes of mixed age and sex by polymerase chain reaction (PCR) for the first time in Pakistan. DNA of the trypanosomes was isolated with TRIREAGENT®. The assay was employed using primers ESAG 6/7, specific for a 237-bp fragment from T. evansi genomic DNA. The samples were screened for the presence of T. evansi also by stained thin smear. Forty-four (3.5%) samples were positive by microscopy, while 97 (7.7%) samples were identified by PCR, indicating the high sensitivity of PCR for surveying the disease in epidemiological studies.