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Background: Osteoarthritis (OA) is a persistent joint disorder, which normally affects the weight bearing joints especially knee joint. Lateral wedge insole is one such approach suggested by professionals to manage the knee osteoarthritis. Objective: To determine the effectiveness of lateral wedge insoles on knee osteoarthritis outcomes in Pakistani population Design: A single-blinded, pretest-posttest comparison. Setting: District Headquarter (DHQ) Hospital, Bahawalnagar and National Institute of Rehabilitation Medicine (NIRM), for a time period of one month. Population: Patients with the age criteria of 40-70 years, and who had knee OA were included in the study. Methods: Participants were randomly divided in two groups; lateral wedge insoles (LWI) group (n=20), and conventional physical therapy (CPT) group (n=20). Pain, stiffness, activities of daily living, sports and recreational activities, and quality of life was assessed on Urdu version of Knee Injury and Osteoarthritis Outcome Score scale (KOOS) on every week till 4th week of intervention. Mixed ANOVA was used for interaction effect of between-subject factor (group) and within-subject factor (time) with-in group analysis and one way ANOVA for between group comparisons with their effect size (ɳp2). Results: Significant improvement with large effect size was observed in Symptoms and stiffness (p

Biotic and abiotic stresses significantly affect plant fitness, resulting in a serious loss in food production. Biotic and abiotic stresses predominantly affect metabolite biosynthesis, gene and protein expression, and genome variations. However, light doses of stress result in the production of positive attributes in crops, like tolerance to stress and biosynthesis of metabolites, called hormesis. Advancement in artificial intelligence (AI) has enabled the development of high-throughput gadgets such as high-resolution imagery sensors and robotic aerial vehicles, i.e., satellites and unmanned aerial vehicles (UAV), to overcome biotic and abiotic stresses. These High throughput (HTP) gadgets produce accurate but big amounts of data. Significant datasets such as transportable array for remotely sensed agriculture and phenotyping reference platform (TERRA-REF) have been developed to forecast abiotic stresses and early detection of biotic stresses. For accurately measuring the model plant stress, tools like Deep Learning (DL) and Machine Learning (ML) have enabled early detection of desirable traits in a large population of breeding material and mitigate plant stresses. In this review, advanced applications of ML and DL in plant biotic and abiotic stress management have been summarized.

Alternative splicing (AS) in plants plays a key role in regulating the expression of numerous transcripts from a single gene in a regulatory pathway. Variable concentrations of growth regulatory hormones and external stimuli trigger alternative splicing to switch among different growth stages and adapt to environmental stresses. In the AS phenomenon, a spliceosome causes differential transcriptional modifications in messenger RNA (mRNAs), resulting in partial or complete retention of one or more introns as compared to fully spliced mRNA. Differentially expressed proteins translated from intron-retaining messenger RNA (mRNAir) perform vital functions in the feedback mechanism. At the post-transcriptional level, AS causes the remodeling of transcription factors (TFs) by the addition or deletion of binding domains to activate and/or repress transcription. In this study, we have summarized the specific role of AS in the regulation of gene expression through repression and activation of the transcriptional regulatory network under external stimuli and switch among developmental stages.

Plasma membranes are heterogeneous and contain multiple functional nanodomains. Although several signaling proteins have been shown to function by moving into or out of nanodomains, little is known regarding the effects of environmental cues on nanodomain organization. In this study, we investigated the heterogeneity and organization of distinct nanodomains, including those containing Arabidopsis thaliana flotillin-1 (AtFlot1) and hypersensitive induced reaction-1 proteins (AtHIR1), in response to biotic and abiotic stress. Variable-angle total internal reflection fluorescence microscopy coupled with single-particle tracking (SPT) revealed that AtFlot1 and AtHIR1 exhibit different lateral dynamics and inhabit different types of nanodomains. Furthermore, via SPT and fluorescence correlation spectroscopy, we observed lower density and intensity of AtFlot1 fluorescence in the plasma membrane after biotic stress. In contrast, the density and intensity of signal indicating AtHIR1 markedly increased in response to biotic stress. In response to abiotic stress, the density and intensity of both AtFlot1 and AtHIR1 signals decreased significantly. Importantly, SPT coupled with fluorescence recovery after photobleaching revealed that biotic and abiotic stress can regulate the dynamics of AtFlot1; however, only the abiotic stress can regulate AtHIR1 dynamics. Taken together, these findings suggest that a plethora of highly distinct nanodomains coexist in the plasma membrane (PM) and that different nanodomains may perform distinct functions in response to biotic and abiotic stresses. These phenomena may be explained by the spatial clustering of plasma membrane proteins with their associated signaling components within dedicated PM nanodomains.

Nanomaterials (NMs) are the leading edge as an amazing class of materials that consists of at least one dimension in the range of 1–100 nm. NMs can be made with exceptional magnetic, electrical, and catalytic properties different from their bulk counterparts. We summarized unique features of NMs, their synthesis, and advances in agri-nanotechnology and cutting-edge nanobionics. The review describes advances in NMs including their applications, dosimetry to ensure biosafety, remote sensing of agro-forestry fields, nanofertilizers, and nanopesticides, and avoid post-harvest losses, gene delivery, and nanobionics. Tree nanobionics has enabled the synthesis and delivery of nanosensors, which enhance the rate of photosynthesis, detection of pathogens, and poisonous residues to ensure biosafety and biomass accumulation. Finally, we conclude by discussing challenges, future perspectives, and agro-ecological risks of using NMs.

Objective: To determine and compare the effects of Deep Transverse Friction (DTF) Massage and Mill’s manipulation (Cyriax) with Mobilization with movement (MWM) and Taping (Mulligan) in lateral epicondylitis patients. Material & Methods: A Randomized Control Trial (NCT03848117) was conducted in Physiotherapy Department of DHQ Hospital Bahawalnagar after the approval from the competent authority. Non-probability convenient sampling technique was used to collect sample. The n=30 sample size was randomly allocated in two groups as Group A i.e. the Cyriax group (DTF Massage & Mill’s Manipulation) and Group B i.e. the Mulligan group (Taping & MWM), with 15 participants in each group having sub acute lateral epicondylitis. Data was collected in terms of age, gender, BMI and occupation. Patient related tennis elbow evaluation (PRTEE) questionnaire was used to determine the level of pain, functional disability and hand grip strength. Mann Whitney U statistics test was used for between the group analysis and Friedman with Wilcoxon signed ranks test was used for within the group analysis. The significance level was set at p

Background: Tomato is an important part of daily food, rich source of multitude nutrients, suitable candidate for bio-pharmaceutical production due to berry size and has numerous health benefits. Transcriptional regulation of metalloregulatory heat shock protein-70 family plays pivotal role in plants tolerance against abiotic stress factors including salinity, heat, cold, drought and trace metal elements such as cadmium (Cd2+). Methods: Here, we provide comprehensive report on in-silico identification of SlHsp70 family genes in tomato (Solanum lycopersicum) and their expression in tomato via qPCR analysis under broad range of trace metal elements. Results: In-silico analysis revealed 23 SlHsp70 family genes in tomato, phylogenetically divided into four groups I–IV and displayed expression in all tissues. Gene Ontology (GO) analysis revealed that SlHSP70 proteins were membrane localized which were involved in metal ions translocation and oxidoreductase activity to counter hyper-accumlation of reactive oxygen species (ROS). Conclusions: Cd2+ is a widespread heavy metal soil contaminent which is continously polluting fertile soils, a knotty issue which has serious implications over photosynthesis, nitrogen assimilation, minerals and water absorption by plants. Plants exposure to Cd2+ and subsequent qRT-PCR analysis revealed increased expression of SlHsp70-11 in tomato roots, which can be employed in breeding low Cd2+ enriched tomato varieties.

Vehicular Ad-hoc network is an emerging technology, which takes vehicles as nodes and forms a wireless network. The topology of such network changes rapidly as the nodes are in continuous motion with different speeds, leading to some serious issues that must be handled correctly in order to make VANETs reliable. One of the main problems associated with VANETs is Frequent Link Disconnection. There have been many designed for VANETs but Rapid change in topology has made it really problematic to design a routing protocol for VANETs that is efficient and effective in all terms. In this paper, we compared the four major VANET routing protocols, GPGR, GPSR, GPCR & HarpiaGrid in terms of Frequent Link Breakage with respect to velocity of nodes and the number of nodes. The results have proved, HarpiaGrid and GPGR are the better routing protocols than other two. If overhead cost is ignored, HarpiaGrid gives the outstanding performance.