Numerical Verification of Empirically Designed Support for a Headrace Tunnel

In this paper, we used two empirical rock classification systems of rock mass rating (RMR) and rock quality tunnelling index (Q-system) for the support design of a tunnel in District Battagram, Khyber Pakhtunkhwa, Pakistan. Along the tunnel route, the rocks of Precambrian namely Gandaf Formation, Karora Formation and Besham Complex were exposed. During the field investigations, two shear zones were marked in the schist of Karora Formation. The discontinuities parameters collected during the field investigations, results of laboratory testing and material constants determined from RocData version 5.0 software were used during the empirical classification and numerical modelling. The support was designed for the rock mass units from RMR and Q. The quantification of the thickness of plastic zone and total displacement around the tunnel were achieved by the numerical modelling of RS2 9.0 software in both unsupported and supported conditions. The empirically designed support was installed in the model prepared in the RS2 software. According to the results, the empirically designed support when installed in models prepared in RS2 significantly reduced the plastic zone around the tunnel. The reduction in the plastic zone and displacement around the tunnel verified the support design by empirical methods. The present research concludes that empirical designed support can be used for the complex geology of Pakistan

Synergistic effects of a copper–cobalt–nitroisophthalic acid/neodymium oxide composite on the electrochemical performance of hybrid supercapacitors

Hybrid supercapacitors can produce extraordinary advances in specific power and energy to display better electrochemical performance and better cyclic stability. Amalgamating metal oxides with metal–organic frameworks endows the prepared composites with unique properties and advantageous possibilities for enhancing the electrochemical capabilities. The present study focused on the synergistic effects of the CuCo(5-NIPA)–Nd2O3 composite. Employing a half-cell configuration, we conducted a comprehensive electrochemical analysis of CuCo(5-NIPA), Nd2O3, and their composite. Owing to the best performance of the composite, the hybrid device prepared from CuCo(5-NIPA)–Nd2O3 and activated carbon demonstrated a specific capacity of 467.5 C g−1 at a scan rate of 3 mV s−1, as well as a phenomenal energy and power density of 109.68 W h kg−1 and 4507 W kg−1, respectively. Afterwards, semi-empirical techniques and models were used to investigate the capacitive and diffusive mechanisms, providing important insights into the unique properties of battery–supercapacitor hybrids. These findings highlight the enhanced performance of the CuCo(5-NIPA)–Nd2O3 composite, establishing it as a unique and intriguing candidate for applications requiring the merging of battery and supercapacitor technologies

Is spectral reflectance of the face a reliable biometric?

Over a decade ago, Pan et al. [IEEE TPAMI 25, 1552 (2003)] performed face recognition using only the spectral reflectance of the face at six points and reported around 95% recognition rate. Since their database is private, no one has been able to replicate these results. Moreover, due to the unavailability of public datasets, there has been no detailed study in the literature on the viability of facial spectral reflectance for person identification. In this study, we introduce a new public database of facial spectral reflectance profiles measured with a high precision spectrometer. For each of the 40 subjects, spectral reflectance was measured at the same six points as Pan et al. [IEEE TPAMI 25, 1552 (2003)] in multiple sessions and with time lapse. Furthermore, we sample the facial spectral reflectance from two public hyperspectral face image datasets and analyzed the data using state of the art face classification techniques. The best performing classifier achieved the maximum rank-1 identification rate of 53.8%. We conclude that facial spectral reflectance alone is not a reliable biometric for unconstrained face recognition

Pinostrobin attenuated cadmium instigated cardiotoxicity in albino rats: A biochemical, inflammatory, apoptotic and histopathological examination

Cadmium (Cd) is a noxious and non-biodegradable heavy metal which instigates various organ toxicities such as cardiac injuries. Pinostrobin (PSB) is a potent dietary bioflavonoid, which shows various pharmacological potentials. The current research was designed to evaluate the ameliorative effects of PSB against Cd elicited cardiac dysfunction in rats. Twenty-four albino rats were apportioned into four equal groups viz. control, Cd (5 mg/kg), Cd (5 mg/kg) + PSB (40 mg/kg) and PSB (40 mg/kg) only treated group. It was observed that Cd intoxication reduced catalase (CAT), glutathione reductase (GSR), superoxide dismutase (SOD), glutathione peroxidase (GPx), activities and glutathione S-transferase (GST) contents while escalating the levels of reactive oxygen species (ROS), hydrogen peroxide (H2O2) and malondialdehyde (MDA). Furthermore, Cd exposure escalated the levels of cardiac injury markers such as creatine phosphokinase (CPK), creatine kinase-myocardial band (CK-MB), troponin I and lactate dehydrogenase (LDH). Besides, the levels of inflammatory cytokines nuclear factor- κB (NF-κB), interleukin 1beta (IL-1ß), tumor necrosis factor- α (TNF-α), interleukin-6 (IL-6) levels and cyclooxygenase-2 (COX-2) activity were upregulated in Cd intoxicated group. Similarly, Caspase-3, Bax and Caspase-9 levels were augmented, and Bcl-2 levels were reduced after Cd administration. In addition, the histopathological examination revealed a notable cardiac tissue impairment in the Cd exposed group. Nonetheless, PSB treatment significantly (p < 0.05) recovered the abovementioned Cd-induced impairments. Therefore, the current study revealed that PSB might be a promising ameliorative agent to ameliorate Cd instigated cardiac damages

Investigating the influence of copper benzene-1,3,5-tricarboxylate (Cu-PDC) and benzene-1,2-dicarboxylate ligands (Cu-BTC) on the electrochemical capacity of hybrid supercapacitors

The elevated energy demand and crises have rooted the urge to develop advanced electrode materials that can overcome the energy dilemma present all over the globe. Metal-organic frameworks (MOFs) have emerged as promising electrode materials in recent times due to their better electrochemical properties. Herein the metal ligand synergy produced in MOFs is observed for the same metal center (Cu) with different ligands i.e., benzene-1,3,5-tricarboxylate (1,3,5-BTC) and benzene-1,2-dicarboxylate (1,2-BDC). The hybrid device of the best performing MOF (Cu-1,3,5-BTC//AC) reveals the energy and power density of 86.32 Wh kg-1 and 680 W kg-1, respectively. Even at the highest current density of 15 A/g, the device retained the Es of 21.25 Wh kg-1 and Ps of 12,750 W kg-1. Furthermore, the semi-empirical approach was utilized for the evaluation of capacitive and diffusive contributions

Genotype × Environment Interaction Analysis for Yield Stability of Hybrid Cotton Across Production Environments Through Multiple Biometrical Tools

The expected gains in the productivity and sustainability of cotton cultivars across environmental spectra may face many challenges. To address this issue, a set of 572 cotton accessions, including 284 F1 hybrids along with their parental lines and checks, were evaluated and compared across multiple test environments. Popular biometrical tools viz; best linear unbiased prediction (BLUP), additive main effects and multiplicative interaction (AMMI) and genotype main effects and genotype × environment interaction effects (GGE) were utilized for reliable estimation graphical depiction of GEI effects. The first two interaction coordinates as principal components in BLUP, AMMI, and GGE biplots explained the maximum proportion of GEI regarding seed cotton yield. The contrasting environments did not cluster together, thus revealing their varying influences on the genotypes. A set of 44 F1 hybrids featuring higher stability, 46 with higher adaptability, and 5 F1 hybrids exhibited higher stability, adaptability, and highest seed cotton yield across the investigated environments simultaneously. F1 hybrids of cotton were concluded as more stable and adaptable regarding seed cotton yield across environments. Accordingly, switching from line to hybrid breeding could enable a cotton breeding program to address the broader issue of growing this crop in a wide range of target environments

Recent Trends and Applications of Nanoencapsulated Bacteriocins against Microbes in Food Quality and Safety

Bacteriocins are ribosomal-synthesized peptides or proteins produced by bacterial strains and can inhibit pathogenic bacteria. Numerous factors influence the potential activity of bacteriocins in food matrices. For example, food additives usage, chemical composition, physical conditions of food, and sensitivity of proteolytic enzymes can constrain the application of bacteriocins as beneficial food preservatives. However, novel bacteriocin nanoencapsulation has appeared as an encouraging solution. In this review, we highlight the bacteriocins produced by Gram-negative bacteria and Gram-positive bacteria including lactic acid bacteria that have shown positive results as potential food preservatives. In addition, this review encompasses the major focus on bacteriocins encapsulation with nanotechnology to enhance the antimicrobial action of bacteriocins. Several strategies can be employed to encapsulate bacteriocins; however, the nanotechnological approach is one of the most effective strategies for avoiding limitations. Nanoparticles such as liposomes, chitosan, protein, and polysaccharides have been discussed to show their importance in the nanoencapsulation method. The nanoparticles are combined with bacteriocins to develop the nano-encapsulated bacteriocins from Gram-negative and Gram-positive bacteria including LAB. In food systems, nanoencapsulation enhances the stability and antimicrobial functionality of active peptides. This nanotechnological application provides a formulation of a broad range of antimicrobial peptides at the industry-scale level. Nano-formulated bacteriocins have been discussed along with examples to show a broader antimicrobial spectrum, increase bacteriocins’ applicability, extend antimicrobial spectrum and enhance stability