Ascorbate, plant hormones and their interactions during plant responses to biotic stress.

Plants can experience a variety of environmental stresses that significantly impact their fitness and survival. Additionally, biotic stress can harm agriculture, leading to reduced crop yields and economic losses worldwide. As a result, plants have developed defense strategies to combat potential invaders. These strategies involve regulating redox homeostasis. Several studies have documented the positive role of plant antioxidants, including Ascorbate (Asc), under biotic stress conditions. Asc is a multifaceted antioxidant that scavenges ROS, acts as a co-factor for different enzymes, regulates gene expression, and facilitates iron transport. However, little attention has been given to Asc and its transport, regulatory effects, interplay with phytohormones, and involvement in defense processes under biotic stress. Asc interacts with other components of the redox system and phytohormones to activate various defense responses that reduce the growth of plant pathogens and promote plant growth and development under biotic stress conditions. Scientific reports indicate that Asc can significantly contribute to plant resistance against biotic stress through mutual interactions with components of the redox and hormonal systems. This review focuses on the role of Asc in enhancing plant resistance against pathogens. Further research is necessary to gain a more comprehensive understanding of the molecular and cellular regulatory processes involved.

Outcomes of initial 100 cases of laparoscopic nephrectomy at tertiary care center (PKLI).

Objective: Laparoscopic nephrectomy has been adopted by many centers in the last few decades. However, there are a few inherent challenges while adopting laparoscopic nephrectomy in a new unit. These include a significant learning curve required to adopt this modality. This study aimed to share the initial experience of adopting laparoscopic nephrectomy at our center. Methods: In total, 101 patients were analyzed in the study. These patients underwent laparoscopic radical or simple nephrectomy (for renal mass and noncancer renal cases respectively) at Department of Urology, Pakistan Kidney and Liver Institute and Research Centre, Lahore from April 2018 till January 2021. Data were entered in the statistical analysis software file. Analysis was attained by utilizing SPSS version 20. Implementation of Mean along with standard deviation values was utilized in the case of the continuous variables. While frequency/percentages represented categorical factors. Results: The mean age of patients was 42.81±15.49 years and their overall BMI was 26.41±5.30 kg/m2. Out of these, 57 (56.43%) were males and 44(43.56%) were female. Eighteen percent of patients had a previous surgical history on the ipsilateral side. Total operative time was 163.98±58.02 minutes while mean hospital stay reached 3.2±0.87 days. The tumor-free margin was attained in all cases of radical nephrectomy. Based on Clavien-Dindo classification, Grade-1 (n=3; 2.97%), Grade-2 (n=6; 5.94%), Grade-3A (n=1; 0.99%), and Grade-3B (n=1; 0.99%) complications were observed. Conclusion: In a newly developed urology center, laparoscopic nephrectomy can be a daunting task. Good teamwork among the surgical team members and careful selection of cases can result in satisfactory procedural outcomes.

Fusaric acid-evoked oxidative stress affects plant defence system by inducing biochemical changes at subcellular level.

Fusaric acid (FA) is one of the most harmful phytotoxins produced in various plant-pathogen interactions. Fusarium species produce FA as a secondary metabolite, which can infect many agronomic crops at all stages of development from seed to fruit, and FA production can further compromise plant survival because of its phytotoxic effects. FA exposure in plant species adversely affects plant growth, development and crop yield. FA exposure in plants leads to the generation of reactive oxygen species (ROS), which cause cellular damage and ultimately cell death. Therefore, FA-induced ROS accumulation in plants has been a topic of interest for many researchers to understand the plant-pathogen interactions and plant defence responses. In this study, we reviewed the FA-mediated oxidative stress and ROS-induced defence responses of antioxidants, as well as hormonal signalling in plants. The effects of FA phytotoxicity on lipid peroxidation, physiological changes and ultrastructural changes at cellular and subcellular levels were reported. Additionally, DNA damage, cell death and adverse effects on photosynthesis have been explained. Some possible approaches to overcome the harmful effects of FA in plants were also discussed. It is concluded that FA-induced ROS affect the enzymatic and non-enzymatic antioxidant system regulated by phytohormones. The effects of FA are also associated with other photosynthetic, ultrastructural and genotoxic modifications in plants.

Primary retroperitoneal teratoma in a young woman: a case report.

Teratomas are usually seen in gonads but they do occur in other extra gonadal regions such as sacrococcygeal region, mediastinum, head and neck, and retroperitoneum. Rarely in the retroperitoneal area, such tumours mostly develop in the pararenal area and usually on the left side. They have bimodal presentation at the age of six months and then in early adulthood. They originate from the germ cells that have failed to migrate to normal anatomical destinations. Many of such patients are diagnosed incidentally. Here, we report a case of symptomatic primary retroperitoneal mature teratoma in a young lady managed at Pakistan kidney and Liver Institute, Lahore.

A Novel Grayscale Image Encryption Scheme Based on the Block-Level Swapping of Pixels and the Chaotic System.

Hundreds of image encryption schemes have been conducted (as the literature review indicates). The majority of these schemes use pixels as building blocks for confusion and diffusion operations. Pixel-level operations are time-consuming and, thus, not suitable for many critical applications (e.g., telesurgery). Security is of the utmost importance while writing these schemes. This study aimed to provide a scheme based on block-level scrambling (with increased speed). Three streams of chaotic data were obtained through the intertwining logistic map (ILM). For a given image, the algorithm creates blocks of eight pixels. Two blocks (randomly selected from the long array of blocks) are swapped an arbitrary number of times. Two streams of random numbers facilitate this process. The scrambled image is further XORed with the key image generated through the third stream of random numbers to obtain the final cipher image. Plaintext sensitivity is incorporated through SHA-256 hash codes for the given image. The suggested cipher is subjected to a comprehensive set of security parameters, such as the key space, histogram, correlation coefficient, information entropy, differential attack, peak signal to noise ratio (PSNR), noise, and data loss attack, time complexity, and encryption throughput. In particular, the computational time of 0.1842 s and the throughput of 3.3488 Mbps of this scheme outperforms many published works, which bears immense promise for its real-world application.

Percutaneous nephrolithotomy in new versus those patients with previous history of Extracorporeal Shock Wave Lithotripsy on ipsilateral side.

Objectives: To appraise the effects of previous history of ineffectual extracorporeal shockwave lithotripsy (SWL) treatment on the execution and end result of percutaneous nephrolithotomy (PCNL). Methods: The study was performed from January 2012 till November 2019 at the urology department at our hospital, a tertiary healthcare center. In total, four hundred and twenty two patients were enrolled in the study. We arranged the study participants into two groups. Group-I comprised of 66 subjects who had undergone failed SWL 12 months prior to PCNL procedure, while Group-II included patients who had no history of previous SWL. Information related to study variables was registered in designated proformas and then processed in SPSS version 16 for the statistical computations. Results: On the whole, the mean age of patients was 45.25± 14.38 years. While the mean calculus size was 494.80±128.83 mm2. The complexity of stones formulated on the basis of Guy's stone score was identical among the two groups. American Society of Anesthesiologists (ASA) class categories were almost similar among the two groups. Stone free rates of 80.30% and 81.74% (p value=0.73) were observed in Group-I and II respectively. Time to create PCNL tract and mean drop in hemoglobin were noted to be significantly higher in Group-I. Complication rates and grades were not being dissimilar among the two groups. Conclusion: Patients having prior history of unsuccessful SWL history before undertaking the PCNL procedure manifested similar stone free rates and complications rates as those observed in SWL naive cases of PCNL.

Effect of Body Mass Index on complications and success rates of percutaneous nephrolithotomy-A tertiary care hospital experience.

Background and Objectives: Urolithiasis is prevalent globally. Over time, innovation in endoscopic instruments and miniaturization has untangled the interventional strategy for carrying out remedial surgical procedures for renal stones. However, studies have been scarce as for sequelae of Percutaneous Nephrolithotomy (PCNL) in varying body mass index group patients in the developing world. We aimed to report success rates and complications in different BMI groups. Methods: This was a retrospective study wherein data of 359 patients was reviewed in charts. These patients went through PCNL at our department from July 2011 till September 2019. Three groups of patients were made in agreement with WHO BMI classification. Information concerning study variables was noted in designated and then processed in SPSS version 16 for the statistical computations. Results: On the whole, the mean age of patients was 44.6± 14.4 years. While the mean calculus size was 3.1± 1.4 cm. Moreover, the majority of stones in all the three groups belonged to Guy's stone score 1 and 2 (see Table-I). The overall mean procedure time and inpatient stay were almost comparable in the obese group. The highest stone-free rate was observed in the normal weight group (77.69 %), however, stone-free status in overweight and obese groups was not comparatively too lower (p=0.74). Complication rates were being close among the three groups. Conclusion: PCNL can be ventured with safety and in an effectual manner for attaining stone treatment goals alike in obese and non-obese group patients.

Intraoperative flexible nephroscopy during percutaneous nephrolithotomy: An 8 years' experience.

OBJECTIVES: To see the effect of intra operative antegrade flexible nephroscopy during Percutaneous nephrolithotomy on stone free rate. METHODS: We retrospectively reviewed electronic medical records of patients who underwent percutaneous nephrolithotomy from 2010 to 2017 for renal stones >2cm. Patients found eligible were divided in, Group-I who did not have intraoperative Flexible nephroscopy and Group-II who had flexible nephroscopy during percutaneous nephrolithotomy. All procedures were done by senior consultants. Variables like Mean age, side, stone size, skin to stone distance and Hounsfield unit were compared. Outcomes like Stone free rate, hospital stay and operative time were compared between the groups. RESULTS: The study included 248 patients, consisting 85 (34.3%) females and 163 (65.7%) males. Mean age ± SD was 45.8±13.8 years. Both group were similar in characteristics like mean age, stone size, skin to stone distance and Hounsfield units. The overall stone free rate was 71%. It was not significantly different between the groups, 76% in Group-II vs. 67% in Group-I. However stone free rate markedly improved with flexible nephroscopy in patients with staghorn calculi. Mean operative time and hospital stay were similar between the groups. CONCLUSIONS: Intraoperative flexible nephroscopy during percutaneous nephrolithotomy significantly increases stone free rate in patients with staghorn stones.

Real-time differentiation of adenomatous and hyperplastic diminutive colorectal polyps during analysis of unaltered videos of standard colonoscopy using a deep learning model.

BACKGROUND: In general, academic but not community endoscopists have demonstrated adequate endoscopic differentiation accuracy to make the 'resect and discard' paradigm for diminutive colorectal polyps workable. Computer analysis of video could potentially eliminate the obstacle of interobserver variability in endoscopic polyp interpretation and enable widespread acceptance of 'resect and discard'. STUDY DESIGN AND METHODS: We developed an artificial intelligence (AI) model for real-time assessment of endoscopic video images of colorectal polyps. A deep convolutional neural network model was used. Only narrow band imaging video frames were used, split equally between relevant multiclasses. Unaltered videos from routine exams not specifically designed or adapted for AI classification were used to train and validate the model. The model was tested on a separate series of 125 videos of consecutively encountered diminutive polyps that were proven to be adenomas or hyperplastic polyps. RESULTS: The AI model works with a confidence mechanism and did not generate sufficient confidence to predict the histology of 19 polyps in the test set, representing 15% of the polyps. For the remaining 106 diminutive polyps, the accuracy of the model was 94% (95% CI 86% to 97%), the sensitivity for identification of adenomas was 98% (95% CI 92% to 100%), specificity was 83% (95% CI 67% to 93%), negative predictive value 97% and positive predictive value 90%. CONCLUSIONS: An AI model trained on endoscopic video can differentiate diminutive adenomas from hyperplastic polyps with high accuracy. Additional study of this programme in a live patient clinical trial setting to address resect and discard is planned.

Identifying 5-methylcytosine sites in RNA sequence using composite encoding feature into Chou's PseKNC.

This study examines accurate and efficient computational method for identification of 5-methylcytosine sites in RNA modification. The occurrence of 5-methylcytosine (m5C) plays a vital role in a number of biological processes. For better comprehension of the biological functions and mechanism it is necessary to recognize m5C sites in RNA precisely. The laboratory techniques and procedures are available to identify m5C sites in RNA, but these procedures require a lot of time and resources. This study develops a new computational method for extracting the features of RNA sequence. In this method, first the RNA sequence is encoded via composite feature vector, then, for the selection of discriminate features, the minimum-redundancy-maximum-relevance algorithm was used. Secondly, the classification method used has been based on a support vector machine by using jackknife cross validation test. The suggested method efficiently identifies m5C sites from non- m5C sites and the outcome of the suggested algorithm is 93.33% with sensitivity of 90.0 and specificity of 96.66 on bench mark datasets. The result exhibits that proposed algorithm shown significant identification performance compared to the existing computational techniques. This study extends the knowledge about the occurrence sites of RNA modification which paves the way for better comprehension of the biological uses and mechanism.

Bi-PSSM: Position specific scoring matrix based intelligent computational model for identification of mycobacterial membrane proteins.

Mycobacterium is a pathogenic bacterium, which is a causative agent of tuberculosis (TB) and leprosy. These diseases are very crucial and become the cause of death of millions of people every year in the world. So, the characterize structure of membrane proteins of the protozoan play a vital role in the field of drug discovery because, without any knowledge about this Mycobacterium's membrane protein and their types, the scientists are unable to treat this pathogenic protozoan. So, an accurate and competitive computational model is needed to characterize this uncharacterized structure of mycobacterium. Series of attempts were carried out in this connection. Split amino acid compositions, Unbiased-Dipeptide peptide compositions (Unb-DPC), Over-represented tri-peptide compositions, compositions & translation were the few recent encoding techniques followed by different researchers in their publications. Although considerable results have been achieved by these models, still there is a gap which is filled in this study. In this study, an evolutionary feature extraction technique position specific scoring matrix (PSSM) is applied in order to extract evolutionary information from protein sequences. Consequently, 99.6% accuracy was achieved by the learning algorithms. The experimental results demonstrated that the proposed computational model will lead to develop a powerful tool for anti-mycobacterium drugs as well as play a promising rule in proteomic and bioinformatics.

Unb-DPC: Identify mycobacterial membrane protein types by incorporating un-biased dipeptide composition into Chou's general PseAAC.

This study investigates an efficient and accurate computational method for predicating mycobacterial membrane protein. Mycobacterium is a pathogenic bacterium which is the causative agent of tuberculosis and leprosy. The existing feature encoding algorithms for protein sequence representation such as composition and translation, and split amino acid composition cannot suitably express the mycobacterium membrane protein and their types due to biasness among different types. Therefore, in this study a novel un-biased dipeptide composition (Unb-DPC) method is proposed. The proposed encoding scheme has two advantages, first it avoid the biasness among the different mycobacterium membrane protein and their types. Secondly, the method is fast and preserves protein sequence structure information. The experimental results yield SVM based classification accurately of 97.1% for membrane protein types and 95.0% for discriminating mycobacterium membrane and non-membrane proteins by using jackknife cross validation test. The results exhibit that proposed model achieved significant predictive performance compared to the existing algorithms and will lead to develop a powerful tool for anti-mycobacterium drugs.

Justification For Re-Look Cystoscopy After Posterior Urethral Valve Fulguration.

BACKGROUND: Posterior urethral valve (PUV) is life-threatening congenital anomaly of the urinary tract that results in vesicoureteric reflux, recurrent UTI, voiding dysfunction and renal insufficiency if not treat timely. Endoscopic ablation of posterior urethral valves using cold knife or laser is the current gold standard therapy. Many urologists go for repeat cystoscopy to see residual valve or stricture while others repeat VCUG to measure the posterior to anterior urethral ratio for residual obstruction. In this study, we have standardized by regularly doing re-look cystoscopy at 3 months whether the child is symptomatic or not to see justification for re-look cystoscopy after PUV ablation. METHODS: In this prospective study, first 50 cases that underwent posterior urethral valve fulguration were included. Diagnosis of posterior urethral valve was made by voiding symptoms, ultrasonography and confirmed by voiding cysto-urethrogram (VCUG). All children were treated by endoscopic fulguration of posterior urethral valves (PUV) using cold knife as urethral valvotome and were followed clinically for voiding symptoms and with ultrasonography and laboratory test at 3 and 6 months. All patients underwent re-look cystoscopy at three months to see residual valves irrespective of their clinical improvement. RESULTS: Mean age at presentation was 4.9±3.2 years. The most common symptoms were poor stream (76%), straining at voiding (72%), dribbling of urine (54%), fever (42%) and urinary retention (14%). Residual valves on re-look cystoscopy were seen in 78%. Four (8%) patients had urethral stricture on re-look cystoscopy. CONCLUSIONS: We suggest routine re-look cystoscopy after primary fulguration of PUV to pick more residual obstructive valves.

Salicylic acid- and ethylene-dependent effects of the ER stress-inducer tunicamycin on the photosynthetic light reactions in tomato plants.

Plant hormones such as ethylene (ET) and salicylic acid (SA) have an elementary role in the regulation of ER stress and unfolded protein response (UPR) in plants via modulating defence responses or inducing oxidative stress. Chloroplasts can be sources and targets of reactive oxygen species (ROS) that affect photosynthetic efficiency, which has not been investigated under tunicamycin (Tm)-induced ER stress. In this study, the direct and indirect effects of Tm on chloroplastic ROS production were first investigated in leaves of wild-type tomato (Solanum lycopersicum L.) plants. Secondly changes in activities of photosystem II and I were analysed under Tm exposure and after application of the chemical chaperone 4-phenylbutyrate (PBA) in different genotypes, focusing on the regulatory role of SA and ET Tm treatments significantly but indirectly induced ROS production in tomato leaves and in parallel it decreased the effective quantum yield of PSII [Y(II)] and PSI [Y(I)], as well as the photochemical quenching coefficient (qP) and the quantum yield of non-photochemical energy dissipation in PSI due to acceptor-side limitation [Y(NA)]. At the same time, Tm increased non-photochemical quenching (NPQ) and cyclic electron flow (CEF) in tomato leaves after 24 h. However, the photosynthetic activity of the SA hydroxylase-overexpressing NahG tomato plants was more severely affected by Tm as compared to wild-type and ET-insensitive Never ripe (Nr) plants. These results suggest the protective role of SA in the regulation of photosynthetic activity contributing to UPR and the survival of plants under ER stress. Interestingly, the activation of photoprotective mechanisms by NPQ was independent of SA but dependent on active ET signalling under ER stress, whereas CEF was reduced by ET due to its higher ratio in Nr plants.

FOPBIE: Multi-image cipher based on the random walk of fleet of pawns on the large hypothetical chessboard and chaotic system.

In the last two decades or so, a large number of image ciphers have been written. The majority of these ciphers encrypt only one image at a time. Few image ciphers were written which could encrypt multiple images in one session. The current era needs speedy multiple image ciphers to address its varied needs in different settings. Motivated by this dictation, the current study has ventured to write a multi-image cipher based on the fleet of pawns walking in the large hypothetical chessboard. This walk of pawns on the chessboard has been ingeniously linked with transferring the pixels from the plain image to the scrambled image. The confusion effects have been realized through the XOR operation between the scrambled image and the key image. The plaintext sensitivity has been incorporated by embedding the SHA-384 hash codes of the given large combined plain image. Moreover, the Henon map has been employed to spawn the streams of random numbers. Besides, Blum Blum Shub random number generator has been used to further cement the security of the proposed cipher. We got a computational time of 0.2278 seconds and an encryption throughput of 5.5782 MBit/seconds by using the four images with a size of 256×256. Apart from that, the information entropy gained is 7.9993. Lastly, the cipher has been subjected to an array of validation metrics to demonstrate its aversion to the myriad threats from the cryptanalysis savvy. We contend that the proposed work has great potential for some real-world applications.

A NEW flexible exponent power family of distributions with biomedical data analysis.

Probability distributions are widely utilized in applied sciences, especially in the field of biomedical science. Biomedical data typically exhibit positive skewness, necessitating the use of flexible, skewed distributions to effectively model such phenomena. In this study, we introduce a novel approach to characterize new lifetime distributions, known as the New Flexible Exponent Power (NFEP) Family of distributions. This involves the addition of a new parameter to existing distributions. A specific sub-model within the proposed class, known as the New Flexible Exponent Power Weibull (NFEP-Wei), is derived to illustrate the concept of flexibility. We employ the well-established Maximum Likelihood Estimation (MLE) method to estimate the unknown parameters in this family of distributions. A simulation study is conducted to assess the behavior of the estimators in various scenarios. To gauge the flexibility and effectiveness of the NFEP-Wei distribution, we compare it with the AP-Wei (alpha power Weibull), MO-Wei (Marshal Olkin Weibull), classical Wei (Weibull), NEP-Wei (new exponent power Weibull), FRLog-Wei (flexible reduced logarithmic Weibull), and Kum-Wei (Kumaraswamy Weibull) distributions by analyzing four distinct biomedical datasets. The results demonstrate that the NFEP-Wei distribution outperforms the compared distributions.

Gait dynamic stability evaluation in patients undergoing hip joint fractures - tools to measure rehabilitation effectiveness.

A hip joint fracture includes a break in the thigh (femur) or coxa bone near the pelvis. During fracture healing, stability and weight bearing by the affected limb are key indicators to measure patients' improvement. Conventionally, the rehabilitation effectiveness is monitored through clinical examinations, patients' feedback, and few studies also reported instrumented gait evaluations. A gap remains there to numerically quantify the recovery in patients' stability and weight bearing in response to rehabilitation therapies. This study introduces Nyquist and Bode (N&B) methods to analyse the instrumented gait signals further and evaluate gait stability in hip fracture patients during weight loading and unloading transitions. The centre of pressure (CoP) data was recorded using force plates for conditions: coxa hip fracture (HC), femur hip fracture (HF), and normal hip joint (NH). The time rate of CoP signals illustrated two major impulses during the loading and unloading phases which were modelled in time and frequency domains. The frequency models were further analysed by applying N&B methods and stability margins were computed for both impaired and healthy conditions. Results illustrated a significant decrease (Kruskal-Wallis's test, p < 0.001) in the intralimb walking stability of both fracture conditions. Further, Spearman's correlation between CoP velocities of fractured and intact limbs illustrated significant interlimb dependencies to maintain walking stability (p < 0.001) during weight loading and unloading transitions. Overall, the HF impairment illustrated the least intralimb walking stability and relatively greater interlimb dependencies. Clinically, these methods and findings are important to measure the recovery in patients undergoing rehabilitation after a hip joint or other lower limb impairments.

Sequence based model using deep neural network and hybrid features for identification of 5-hydroxymethylcytosine modification.

RNA modifications are pivotal in the development of newly synthesized structures, showcasing a vast array of alterations across various RNA classes. Among these, 5-hydroxymethylcytosine (5HMC) stands out, playing a crucial role in gene regulation and epigenetic changes, yet its detection through conventional methods proves cumbersome and costly. To address this, we propose Deep5HMC, a robust learning model leveraging machine learning algorithms and discriminative feature extraction techniques for accurate 5HMC sample identification. Our approach integrates seven feature extraction methods and various machine learning algorithms, including Random Forest, Naive Bayes, Decision Tree, and Support Vector Machine. Through K-fold cross-validation, our model achieved a notable 84.07% accuracy rate, surpassing previous models by 7.59%, signifying its potential in early cancer and cardiovascular disease diagnosis. This study underscores the promise of Deep5HMC in offering insights for improved medical assessment and treatment protocols, marking a significant advancement in RNA modification analysis.

Highly efficient aramid fiber supported polypropylene membranes modified with reduced graphene oxide based metallic nanocomposites: antimicrobial and antiviral capabilities.

Polypropylene hybrid polymeric membranes with aramid support have been fabricated using Thermally Induced Phase Separation (TIPS). Different modifying materials, such as metallic nanoparticles and reduced graphene oxide (rGO), improve the properties of these membranes. The nanomaterials and the fabricated membranes have been characterized with FTIR spectrometer, SEM and UV-Vis Spectrophotometer. Following that, the disinfection capabilities of the fabricated hybrid membranes were investigated. The antibacterial capability of the membranes is established through the testing of the membranes against bacterial strains S. aureus and E. coli, whereas the antiviral evaluation of the membranes was made against H9N2 and IBV strains. This research aims to develop advanced hybrid membranes that effectively disinfect water by incorporating novel nanomaterials and optimizing fabrication techniques.

Gait asymmetrical evaluation of lower limb amputees using wearable inertial sensors.

This study presents an analysis and evaluation of gait asymmetry (GA) based on the temporal gait parameters identified using a portable gait event detection system, placed on the lateral side of the shank of both lower extremities of the participants. Assessment of GA was carried out with seven control subjects (CS), one transfemoral amputee (TFA) and one transtibial amputee (TTA) while walking at different speeds on overground (OG) and treadmill (TM). Gait cycle duration (GCD), stance phase duration (SPD), swing phase duration (SwPD), and the sub-phases of the gait cycle (GC) such as Loading-Response (LR), Foot-Flat (FF), and Push-Off (PO), Swing-1 (SW-1) and Swing-2 (SW-2) were evaluated. The results revealed that GCD showed less asymmetry as compared to other temporal parameters in both groups. A significant difference (p < 0.05) was observed between the groups for SPD and SwPD with lower limb amputees (LLA) having a longer stance and shorter swing phase for their intact side compared to their amputated side, resulting, large GA for TFA compared to CS and TTA. The findings could potentially contribute towards a better understanding of gait characteristics in LLA and provide a guide in the design and control of lower limb prosthetics/orthotics.