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The direct tactile assessment of surface textures during palpation is an essential component of open surgery that is impeded in minimally invasive and robot-assisted surgery. When indirectly palpating with a surgical instrument, the structural vibrations from this interaction contain tactile information that can be extracted and analysed. This study investigates the influence of the parameters contact angle α and velocity v→ on the vibro-acoustic signals from this indirect palpation. A 7-DOF robotic arm, a standard surgical instrument, and a vibration measurement system were used to palpate three different materials with varying α and v→. The signals were processed based on continuous wavelet transformation. They showed material-specific signatures in the time–frequency domain that retained their general characteristic for varying α and v→. Energy-related and statistical features were extracted, and supervised classification was performed, where the testing data comprised only signals acquired with different palpation parameters than for training data. The classifiers support vector machine and k-nearest neighbours provided 99.67% and 96.00% accuracy for the differentiation of the materials. The results indicate the robustness of the features against variations in the palpation parameters. This is a prerequisite for an application in minimally invasive surgery but needs to be confirmed in realistic experiments with biological tissues.

Abstract The widespread use of pesticides poses significant threats to both environmental and human health, primarily due to their potential toxic effects. The study investigated the cardiovascular toxicity of selected pesticides, focusing on their interactions with Toll-like receptor 4 (TLR4), an important part of the innate immune system. Using computational tools such as molecular docking, molecular dynamics (MD) simulations, principal component analysis (PCA), density functional theory (DFT) calculations, and ADME analysis, this study identified C160 as having the lowest binding affinity (-8.2 kcal/mol), followed by C107 and C165 (-8.0 kcal/mol). RMSD, RMSF, Rg, and hydrogen bond metrics indicated the formation of stable complexes between specific pesticides and TLR4. PCA revealed significant structural changes upon ligand binding, affecting stability and flexibility, while DFT calculations provided information about the stability, reactivity, and polarity of the compounds. ADME studies highlighted the solubility, permeability, and metabolic stability of C107, C160, and C165, suggesting their potential for bioavailability and impact on cardiovascular toxicity. C107 and C165 exhibit higher bioactivity scores, indicating favourable absorption, metabolism, and distribution properties. C165 also violated rule where molecular weight is greater than 500 g/mol. Further, DFT and NCI analysis of post MD conformations confirmed the binding of ligands at the binding pocket. The analysis shed light on the molecular mechanisms of pesticide-induced cardiovascular toxicity, aiding in the development of strategies to mitigate their harmful effects on human health.

A new 3D micro-nano integrated M-shaped carbon nanotube (CNT) architecture was designed and fabricated. It is based on vertically aligned carbon nanotube arrays composed of low-density, mainly double-walled CNTs with simple lateral external contacts to the surroundings. Standard optical lithography techniques were used to locally tailor the width of the vertical block structure. The complete sensor system, based on a broadband blackbody absorber region and a high-resistance thermistor region, can be fabricated in a single chemical vapor deposition process step. The thermistor resistance is mainly determined by the high junction resistances of the adjacent aligned CNTs. This configuration also provides low lateral thermal conductivity and a high temperature coefficient of resistance (TCR). These properties are advantageous for new bolometric sensors with high voltage responsivity and broadband absorption from the infrared (IR) to the terahertz spectrum. Preliminary performance evaluations have shown current and voltage responsivities of 2 mA/W and 30 V/W, respectively, in response to IR (980 nm) absorption for a 20 × 20 μm2 device. The device exhibits an exceptionally fast response time of ≈0.15 ms, coupled with a TCR of −0.91 %/K. These attributes underscore its high operating speed and responsivity, respectively. In particular, the device maintains excellent thermal stability and reliable operation at elevated temperatures in excess of 200 °C, extending its potential utility in challenging environmental conditions. This design allows for further device miniaturization using optical lithography techniques. Its unique properties for mass production through large-scale integration techniques make it important for real-time broadband imaging systems.

Abstract Improving the efficiency of bifunctional electrocatalysts is a decisive challenge in the area of long‐lasting rechargeable zinc‐air batteries. Enhancing the catalysts' performance is crucial for advancing zinc‐air batteries. Transition‐metal oxides have emerged as promising non‐precious, noble‐metal‐free catalysts. Herein, a unique precursor directed approach is introduced for preparing a cobalt ferrite@nitrogen doped carbon nanohorns (CoFe2O4@N‐CNHs) nanohybrid catalyst in a single step annealing process involving stoichiometric amounts of single‐source cobalt and iron molecular precursors and carbon nanohorns (CNHs) under an argon/ammonia (Ar/NH3) atmosphere. This procedure enables a simultaneous CoFe2O4 ferrite synthesis and nitrogen functionalization of CNHs. The precious metal free nanohybrid CoFe2O4@N‐CNHs‐30% containing 30% of carbon presents an oxygen reduction reaction (ORR) half wave potential and onset potential comparable to the standard ORR catalyst 20% Pt/C. CoFe2O4@N‐CNHs‐30% also establishes superior oxygen evolution reaction (OER) performance with a low overpotential and a small Tafel slope than benchmark OER catalyst RuO2. Furthermore, the rechargeable zinc‐air battery with the CoFe2O4@N‐CNHs‐30% nanohybrid as air electrode demonstrates steadier and more durable charge–discharge cycles, and outstanding energy density relative to the state‐of‐the‐art 20% Pt/C‐RuO2 catalyst.

Abstract In comparison to reports on n‐type semiconducting oxides, p‐type oxide semiconducting materials are still rare. Scarcely reported p‐type oxide transistors demonstrated unsatisfactory environmental stability which still hinders their implementation for all oxide transistors and circuit applications. In this study, for the first time on α‐TeO2 as an active channel material with p‐type characteristics accessible by direct evaporation technique. Notably, the fabricated 5 nm α‐TeO2 thin film in connection with an equally thin passivation layer exhibits a remarkable low processing temperature of 50 °C generating a hole mobility of 3.8 cm2 V−1 s−1, an on‐state current of 966 µA, and an on/off ratio of 3.8 × 103. Additionally, the reproducibility of these devices confirmed a narrow variation in the TFT metrics, yielding an average hole mobility, on‐current, and on/off ratio of 3.59 cm2 V−1 s−1, 914 µA, and 3.3 × 103, respectively. Furthermore, the devices are subjected to extensive stability testing under ambient atmospheric conditions that exhibits a marginal mobility reduction while maintaining a stable on/off ratio over 125‐day period, highlighting their robust environmental stability. Notably, the low processing temperatures with both exceptional transistor performance and environmental endurance makes them suitable for the integration onto flexible substrates, particularly bendable/stretchable displays.

The article discusses the function of green nanoparticles in preventing corrosion of different alloys such as copper, zinc, steel, and aluminium alloys. Green nanoparticles are characterized by their environmentally friendly and sustainable production methods, which emphasize using natural materials. Environmental issues have long been linked to traditional corrosion inhibitors, which has led to a shift towards more environmentally friendly alternatives. A potential remedy for these issues is the use of green nanoparticles, which are derived from renewable and biodegradable resources. Green nanoparticles support sustainability goals and have strong corrosion inhibition properties. Their combined role makes them essential players in a future where environmental awareness and material safety coexist. The review envisages a significant paradigm shift in critical industrial contexts, which calls for a robust and ecologically friendly approach to corrosion prevention. Green nanoparticles can potentially transform the field of materials protection entirely, and their investigation as corrosion inhibitors opens up new directions for study and development. In conclusion, this review highlights the crucial role of these nanoparticles in creating a sustainable future where creative solutions will enhance industrial productivity and environmental well-being. Finally, the prospects and difficulties of sustainably applying green nanoparticles to corrosion inhibition have also been explored.

This study investigates the effects of carbon nanomaterials (CN), specifically nanohorns (CNHs) and nanotubes (MWCNTs), on geopolymer carbon nanocomposites (GCN). The research investigates 0.2%, 0.5% and 1.0% of CN and two curing conditions to understand their impact on the microstructure, morphology, and performance of GCN. Analytical techniques such as MIP, TGA-DTA, FTIR, Raman, SEM, and EDX are utilized to analyze the nanoadditives in alkali-silicate suspensions, fresh and hardened GCN. Ultrasonication is important for achieving better dispersion of MWCNTs, while CNH disperses more easily. Both MWCNTs and CNHs enhance flexural strength by up to around 58% and 44%, respectively, and reduce crack formation compared to the pristine geopolymer. Hydrothermal curing, despite leading to higher porosity, improves flexural strength due to increased geopolymerisation. The formation of a cross-polymerized network with oxo bonds and the release of water during the process contribute to increased strength and porosity, respectively.

In this study, we report structural, electrical, magnetic, and anti-cancer properties of pure and Gd3+ ion-substituted Mg–Cd ferrites produced via a sol-gel auto-combustion synthesis process. The prepared Gd-doped and undoped Mg–Cd-based ferrite's physical properties were characterized by X-ray diffraction spectroscopy (XRD) to find structural properties, Brunauer–Emmett–Teller (BET) for surface area analysis, field emission scanning electron microscopy (FE-SEM) was used to understand morphological status and X-ray photoelectron spectroscopy (XPS) used for elemental confirmation. XRD reveals that 900 °C sintering temperature for 5 h gives us the purest form of cubic spinel structure. Fourier transform infrared spectroscopy (FTIR) suggests no changes in bonds while increasing the dopant. The study of temperature-dependent dielectric constants showed a significant peak in the dielectric constant at around 109 between 300 °C and 400 °C. Subsequently, the trend shifted towards a decreasing order. Surprisingly, the dielectric loss has yielded meager numbers. Magnetic characteristics were measured using a vibrating sample magnetometer (VSM); magnetic saturation increased as dopant concentration rose. This material is beneficial in high-frequency device applications, low-loss antennas, and radomes due to its dielectric and magnetic characteristics. The anti-cancer study suggests that it is more efficient at inhibiting cancer cells than normal cells. Also, the anti-microbial and anti-cancer characteristics suggest it can be useful in biomedical applications.

Abstract Background The conventional means of controlling the recurring pandemics of Type A Influenza Virus (IAV) infections remain challenging primarily because of its high mutability and increasing drug resistance. As an alternative to control IAV infections, the prophylactic use of cytokines to drive immune activation of multiple antiviral host factors has been progressively recognized. Among them, Type III Interferons (IFNs) exhibit a pivotal role in inducing potent antiviral host responses by upregulating the expression of several antiviral genes, including the Interferon-Stimulated Genes (ISGs) that specifically target the virus replication machinery. To harness the immuno-adjunctive potential, we examined whether pre-treatment of IFNλ3, a Type III IFN, can activate antiviral host responses against IAV infections. Methods In the present study, we bioengineered a food-grade lactic acid-producing bacteria (LAB), Lactococcus lactis (L. lactis), to express and secrete functional murine IFNλ3 (MuIFNλ3) protein in the extracellular milieu. To test the immune-protective potential of MuIFNλ3 secreted by recombinant L. lactis (rL. lactis), we used murine B16F10 cells as an in vitro model while mice (BALB/c) were used for in vivo studies. Results Our study demonstrated that priming with MuIFNλ3 secreted by rL. lactis could upregulate the expression of several antiviral genes, including Interferon Regulatory Factors (IRFs) and ISGs, without exacerbated pulmonary or intestinal inflammatory responses. Moreover, we also showed that pre-treatment of B16F10 cells with MuIFNλ3 can confer marked immune protection against mice-adapted influenza virus, A/PR/8/1934 (H1N1) infection. Conclusion Since the primary target for IAV infections is the upper respiratory and gastrointestinal tract, immune activation without affecting the tissue homeostasis suggests the immune-adjunctive potential of IFNλ3 against IAV infections.

Social media, blogs, review sites and forums can produce large volumes of data in the form of users' emotions, views, arguments and opinions about various political events, brands, products and social problems. The user's sentiment expressed on the web influences readers, politicians and product vendors. These unstructured social media data are analysed to form structured data, and for this reason sentiment analysis has recently received the most important research attention. Sentiment analysis is a process of classifying the user's feelings in different manners such as positive, negative or both. The major issue of sentiment analysis is insufficient data processing and outcome prediction. For this, deep learning-based approaches are effective due to their autonomous learning ability. Emotion identification from the text in natural language processing (NLP) provides more benefits in the field of e-commerce and business environments. In this paper, emotion detection-based text classification is used for sentiment analysis. The data collected are pre-processed using tokenization, stop word discarding, stemming and lemmatization. After performing data pre-processing, the features are identified using term frequency and inverse document frequency (TF-IDF). Then the filtered features are turned into word embeddings by documents as a vector (Doc2Vec). Then, for text classification, a deep learning (DL) based model called convolutional bidirectional long short-term memory (CBLSTM) is used to differentiate the sentiments of human expression into positive or good and negative or bad emotions. The neural network hyper-parameters are optimized with a meta-heuristic algorithm called the frog leap approach (FLA). The proposed CBLSTM with FLA uses four review and Twitter datasets. The experimental results of this study are compared with the conventional approaches LSTM-RNN and LSTM-CNN to prove the efficiency of the proposed model. Compared to LSTM-RNN and LSTM-CNN, the proposed model secures an improved average accuracy of 98.1% for review datasets and 97.5% for Twitter datasets.

This study examines the impact of individual-level factors on organisations' escalation of commitment (EOC) using self-justification theory and institutional perspective. We use the Cox proportional hazard model on Indian Premier League (IPL) players’ data from 2008 to 2019 to test the proposed hypotheses. We find that player sunk cost (salary paid), reputation, and high status are positively related to the IPL team's EOC (player survival in the same team) for the particular player. Results show that player reputation and high status positively moderate the relationship between player level sunk cost and the IPL team's EOC for the particular player.

In recent years, the complex relationship between immune cells and the area around the tumour has become an important factor in how cancer grows and how well treatment works [...]

Introduction: Varicose veins of the lower extremities are one of the most common peripheral vascular diseases. A variety of treatments methods have emerged as an alternative to traditional surgery but are limited by their need for equipment and expertise which increases the cost of treatment making it unviable especially in rural India. Thus traditional surgery still forms the mainstay of treatment. Aims: To evaluate and compare the outcomes in patients undergoing Trendelenberg's procedure with stripping and without stripping of varicose veins. Materials and methods: The study comprised of 50 patients who were admitted with varicose veins. They were allocated into two groups of 25 each where they either underwent Trendelenberg's procedure with stripping or without stripping of varicose veins. The patients were followed up for six months to assess the efficacy of the procedure as per the parameters of the study. Results were analyzed using SPSS software. Percentages and proportions were used for qualitative data; mean and standard deviation were used for quantitative data. Chisquare test and student t test were applied where appropriate. Results: In the group undergoing stripping, 28% (7 of 25) patients developed hematoma, post operative pain scores on day 0,3,7 and 10 were 3.8±0.9, 2.6±0.7, 1.1±0.6 and 0.2±0.4 respectively. Mean post operative ambulation was achieved on 3.88 days and recurrence at 6 months was seen in 12% (3 of 25) patients. In the group undergoing ligation alone, 4% (1 of 25) patients developed hematoma, post operative pain scores on day 0,3,7 and 10 were 3.0±0.8, 1.6±0.8, 0.8±0.5 and 0.1±0.3 respectively. Mean post op ambulation was achieved on 2.16 days and recurrence at 6 months was seen in 20% (5 of 25) patients. Conclusions: With lesser rates of hematoma formation, better post operative pain scores and quicker ambulation in patients undergong ligation of veins alone, we conclude that Trendelenberg's procedure without stripping is a better procedure than Trendelenberg's procedure with stripping of veins in the treatment of varicose veins. [ABSTRACT FROM AUTHOR]

Extensive research is being conducted to create and use a wide range of alternative fuels to accommodate the world's growing energy needs. The objective of this experimental investigation was to analyze the effects of Karanja biodiesel blends on the performance, combustion, and emission characteristics of a compression ignition (CI) engine vis-a-vis neat diesel. Important physical parameters of Karanja oil were examined experimentally after transesterification and determined to be within acceptable limits. BTE of Karanja biodiesel blends was about 3-8% lower than diesel. For Karanja biodiesel blends, BSFC was about 2-9% higher than diesel but exhaust gas temperature and volumetric efficiency were lower. Emissions characteristics such as nitrogen oxides, hydrocarbons, and carbon monoxide were also analyzed for various tested fuels. Karanja biodiesel blends resulted in lesser CO and HC formation. Nonetheless, NOx emissions were around 10% greater than diesel. Peak cylinder pressure, heat release rate, and maximum rate of pressure rise versus crank angle were among the combustion characteristics parameters considered in this study. Combustion analysis revealed that for Karanja biodiesel blends heat release rate and peak cylinder pressure were lower than for neat diesel. Findings indicate that Karanja biodiesel can be considered a viable diesel engine fuel.

Thiol-modified aptamer oligonucleotides containing gold nanoparticles (G@NPs) bound to glycated hemoglobin (HbA1c) with high affinity in whole blood samples. Aptamer thiol groups enhanced the stability of aptamers adsorbed on the surface of G@NPs. A detection strategy was used to visually confirm the presence of HbA1c and the absorbance of the colored compounds at selected wavelengths. Modified G@NPs are used in many colorimetric detection strategies due to their high extinction coefficient and strongly distance-dependent optical properties. In the present study, as the target analyte reports a method to prepare gold nanoparticle-bound purple aptamer aggregates that rapidly collapse into bluish red dispersed nanoparticles upon binding of HbA1c. HbA1c was detected in unpretreated whole blood after dilution at pH 7.4 and with UV-VIS double beam spectrophotometer with a lower limit of detection (LOD) (0.1 μM) and a much broader linear detection range (0.1 μM–100 μM). This current colorimetric method provides a rapid (7 min), accurate and high determination of whole blood HbA1c with minimal interference from uric acid, bovine serum albumin, hemoglobin, and glucose. The lower detection limit and broader linearity of aptamer-bound G@NPs hybrids improve the accuracy and precision of HbA1c measurements.

The rising issue of antibiotic resistance has emerged as a serious global health problem, compromising our capacity to successfully tackle bacterial diseases. Antibiotic abuse and misuse have hastened the development of resistance, leaving many once-effective medications useless. This research investigates ways for reversing antibiotic resistance, with a special emphasis on rejuvenating older drugs. Several main techniques are being investigated in the attempt to “Make Old Antibiotics Great Again.” First, we investigate the mechanisms behind antibiotic resistance, offering information on the evolutionary processes that drive bacterial adaptability. Following that, we will look at the possibilities of antibiotic combination treatment, a strategy that can improve the efficacy of older antibiotics by utilising synergistic drug interactions. Furthermore, we investigate the potential of antibiotic stewardship programmes, stressing the ethical use of antibiotics to lessen selection pressure for resistant bacteria. Rapid molecular testing, for example, is highlighted as a vital tool for accurate antibiotic selection, improving treatment regimens, and limiting resistance development. The importance of research and development activities in the quest to discover new antibiotics is underlined, as it provides a long-term solution to the resistance challenge. Furthermore, we discuss the importance of policy interventions and global cooperation in creating the landscape of antibiotic resistance, eventually recommending a united response to this critical issue. In summary, this study underlines the need to reverse antibiotic resistance, emphasises the potential of older antibiotics when used wisely, and recommends a holistic strategy incorporating scientific, medical, and policy strategies to address this emerging danger to public health.

Background: The first 2 years of life are a critical period for a child's growth and development. Exclusive breastfeeding for 6 months and continued breastfeeding with safe, appropriate, and adequate feeding are recommended as a global health policy in both developing and developed countries. Objective: The objective was to study the pattern of foods given to the infants during the weaning period in an urban field practice area in Vijayapura. Materials and methods: The mothers of infants (aged 6–12 months) were interviewed by using predesigned and pretested questionnaires regarding different types of foods given to their infants and also about their immunization status, incidence of diarrhea and acute respiratory infection (ARI). Results: A total of 95 mothers with infants aged between 6 and 12 months were enrolled in the study during the period of 1 month. Majority of the infants were fed with milk (animal) as a type of complementary food. Conclusion: Poor complementary feeding practices were observed in urban areas, and urgent health education and demonstration of weaning foods in the community play a major role in preventing diseases.

Background: The repeating elements in the genes or genomes of living organisms are associated with a variety of functions at the molecular level. Mirror repeats (MRs) are unique type of repeat sequences among them, which are found to be linked with H-DNA formation and they have also associated with several neurological disorders with many other functional roles are also being reported. Methods: The manual bioinformatics-based approach is used to identify the MRs in the genome. The applied approach FASTA-parallel complement-BLAST is used by following some simple steps to identify MRs. This methodology is initiated by the downloading of a sequence of interest in FASTA format followed by development of the parallel complement and final step of BLAST analysis. By using this approach, the present study identifies MRs in lac, trp, and ara operon genes of Escherichia coli str. K-12 substr. MG1655 (NC_000913.3). Results: Present investigation identified the frequent distribution MRs in all the analyzed operon genes. These identified MRs vary in their length or size. In case of lac, trp, and ara operon, maximum number of MRs reported in lacZ (61), trpE (40), and araE (41) genes, respectively. Conclusion: The frequent existence of MRs (shorter as well as larger length) in analyzed genes gives a hint about their significant roles in the genes or genomes of all bacterial species. These may be useful to study the evolutionary history of living world. These types of studies will be exploring new trends and tools of molecular biology research as well as development of new concept for MR identification.

The global incidence of nonalcoholic fatty liver disease (NAFLD) is mounting incessantly, and it is emerging as the most frequent cause of chronic and end stage liver disorders. It is the starting point for a range of conditions from simple steatosis to more progressive nonalcoholic steatohepatitis (NASH) and associated hepatocellular carcinoma (HCC). Dysregulation of insulin secretion and dyslipidemia due to obesity and other lifestyle variables are the primary contributors to establishment of NAFLD. Onset and progression of NAFLD is orchestrated by an interplay of metabolic environment with genetic and epigenetic factors. An incompletely understood mechanism of NAFLD progression has greatly hampered the progress in identification of novel prognostic and therapeutic strategies. Emerging evidence suggests altered DNA methylation pattern as a key determinant of NAFLD pathogenesis. Environmental and lifestyle factors can manipulate DNA methylation patterns in a reversible manner, which manifests as changes in gene expression. In this review we attempt to highlight the importance of DNA methylation in establishment and progression of NAFLD. Development of novel diagnostic, prognostic and therapeutic strategies centered around DNA methylation signatures and modifiers has also been explored.

Liquified Natural Gas (LNG) plays a vital role in the transition toward a sustainable energy future due to its reduced emissions compared to coal. Due to the low storage temperature (-162 °C) during LNG shipping, there is an ample amount of cold exergy (800-900 kJ/kg) embodied in LNG. The regasification process of LNG usually does not utilize this cold exergy. In this study, a detailed thermodynamic analysis of the LNG regasification process with secondary literature data is done. This process is modelled in Aspen Plus for a 2.77 MMTPA LNG regasification plant using the Peng-Robinson equation of state to calculate the thermodynamic properties. It is found that 1,024 kJ/kg of LNG is available in the form of physical exergy, which is equivalent to 0.131 kWh of power. From the obtained results, the energy and exergy flows are represented through Sankey and Grassmann diagrams. The maximum exergy loss is 40 %, originated from the LNG heat exchanger. The present study delineates the pathway for future work of cold exergy utilization to the potential cold consumers (e.g., data centre cooling, food storage etc.) with minimum destruction of exergy.

Introduction: Immunization is one of the most cost-effective health investments worldwide. The World Health Organization (WHO) launched the expanded programme on immunization (EPI) in 1974 with the aim of immunizing children throughout the world. Objective: Assessment of perception about immunization among the mothers of under-five children at urban slum area of Vijayapura city. Methods: Cross-sectional study was conducted in Urban Field practice area of Community Medicine department among the mothers of under-five children residing permanently in the area and were interviewed regarding the perception about immunization to their children by using pre-structured proforma. Results: level of knowledge & perception was found average (around 50%). Nearly 40 to 60% of the participants agreed to the statements which signifies the immunization is very important to the child’s growth and development and should not be avoided. Conclusions: Providing mothers of under-five children with information about vaccination effectively increases the immunization coverage and was highly cost-effective also.

In this study, the hydrogen embrittlement and corrosion behavior of X100 pipeline steel (Ref) was investigated after various heat treatments, including one-step austenitizing at 880 °C (HT3), 830 °C (HT2), and 780 °C (HT1) for 90 min, oil quenching to room temperature, tempering at 600 °C for 30 min, and air cooling to room temperature. Potentiodynamic polarisation was performed to assess the electrochemical corrosion behavior, while the Charpy impact test and Vickers microhardness measurement were performed to assess the hydrogen embrittlement susceptibility before and after hydrogen charging. SEM, EBSD, and EDS were used to further characterize the fractured surface and crystallographic texture of specimens, while XRD was used to evaluate the macro-texture and corrosion products. The results of the Charpy impact and hardness tests showed that the high hardness and low impact energy values in the Reference and HT3 specimens were linked to a higher susceptibility to hydrogen embrittlement, indicating that the hardness values and Charpy impact energy, respectively, increased and decreased with a decrease in the hydrogen embrittlement resistance. The micro-texture results from the EBSD analysis showed that the HT3 and Ref. specimens had higher Kernel average misorientation (KAM) values and higher deformed grains fractions than those of the HT2 and HT1 specimens, resulting in lower corrosion resistance. The HT2 specimen had an optimal combination of beneficial ({110}, {111}, {332}) and harmful texture components ({100}), showing that corrosion resistance can be improved.