Three Dimensional Analysis of Drag-flick in The Field Hockey of University Players

The penalty corner one of the most important technique to score the goal in field hockey. The penalty corner depends upon three different technical applications like push, stop and drag. Technical application of drag flick in penalty corner covered maximum number of successful goal. The main aim of this study was to analyze spatial and temporal kinematics in the drag flick of elite field hockey players. Two main drag flickers from Aligarh Muslim University, Aligarh hockey team were selected as a subject for this study. The body weight, Height and Age of each subject ware recorded subsequently Sub1=65 kg body weight, 180.50cm of height and 19 years of age and Sub2= 60 kg body weight, 167.00 cm of height and 19 years of age. A static calibration method was used to capture drag flick by Two Cameras, sampling at 50 Hz. Six successful trials at target were selected from each subject for the study.  Videos of selected trials were digitized by the Max Track 3D motion analysis software. The three dimensional (3D) motion was determined from digitized video analysis using 18-point body model together. Results of this study shows that spatial / temporal variable between the players, there exist little difference in stance width in ball contact phase, recommended that little or no difference exist in techniques between both players. Key points: spatial / temporal, kinematics, drag, digitized.

Effects of Functional Limb Overloading on Symmetrical Weight Bearing, Walking Speed, Perceived Mobility, and Community Participation among Patients with Chronic Stroke

Background. Stroke is a leading cause for long-term disability that often compromises the sensorimotor and gait function accompanied by spasticity. Gait abnormalities persist through the chronic stages of the condition and only a small percentage of these persons are able to walk functionally in the community. Material and Method. Patients with chronic stroke were recruited from outpatient rehabilitation unit at Department of Neurology & Neurosurgery, All India Institute of Medical Sciences, having a history of first stroke at least six months before recruitment, with unilateral motor deficits affecting gait. The patients were randomly assigned to either the functional limb overloading (FLO) or Limb Overloading Resistance Training (LORT) group and provided four weeks of training. Result. We found that there was an improvement in gait performance, weight bearing on affected limb, and perceived mobility and community participation. Conclusion. To the best of our knowledge, this is the first study that has evaluated the effects of functional limb overloading training on symmetric weight bearing, walking ability, and perceived mobility and participation in chronic hemiplegic population. The study demonstrated a beneficial effect of training on all the outcomes, suggesting that the functional limb overloading training can be a useful tool in the management of gait problems in chronic stroke patients

A hybrid machine learning model combining association rule mining and classification algorithms to predict differentiated thyroid cancer recurrence

Background Differentiated thyroid cancer (DTC) is the most prevalent endocrine malignancy with a recurrence rate of about 20%, necessitating better predictive methods for patient management. This study aims to create a relational classification model to predict DTC recurrence by integrating clinical, pathological, and follow-up data.Methods The balanced dataset comprises 550 DTC samples collected over 15 years, featuring 13 clinicopathological variables. To address the class imbalance in recurrence status, the Synthetic Minority Over-sampling Technique for Nominal and Continuous (SMOTE-NC) was utilized. A hybrid model combining classification algorithms with association rule mining was developed. Two relational classification approaches, regularized class association rules (RCAR) and classification based on association rules (CBAR), were implemented. Binomial logistic regression analyzed independent predictors of recurrence. Model performance was assessed through accuracy, sensitivity, specificity, positive predictive value, negative predictive value, and F1 score.Results The RCAR model demonstrated superior performance over the CBAR model, achieving accuracy, sensitivity, and F1 score of 96.7%, 93.1%, and 96.7%, respectively. Association rules highlighted that papillary pathology with an incomplete response strongly predicted recurrence. The combination of incomplete response and lymphadenopathy was also a significant predictor. Conversely, the absence of adenopathy and complete response to treatment were linked to freedom from recurrence. Incomplete structural response was identified as a critical predictor of recurrence risk, even with other low-recurrence conditions.Conclusion This study introduces a robust and interpretable predictive model that enhances personalized medicine in thyroid cancer care. The model effectively identifies high-risk individuals, allowing for tailored follow-up strategies that could improve patient outcomes and optimize resource allocation in DTC management

Exploring HMMR as a therapeutic frontier in breast cancer treatment, its interaction with various cell cycle genes, and targeting its overexpression through specific inhibitors

Among women, breast carcinoma is one of the most complex cancers, with one of the highest death rates worldwide. There have been significant improvements in treatment methods, but its early detection still remains an issue to be resolved. This study explores the multifaceted function of hyaluronan-mediated motility receptor (HMMR) in breast cancer progression. HMMR’s association with key cell cycle regulators (AURKA, TPX2, and CDK1) underscores its pivotal role in cancer initiation and advancement. HMMR’s involvement in microtubule assembly and cellular interactions, both extracellularly and intracellularly, provides critical insights into its contribution to cancer cell processes. Elevated HMMR expression triggered by inflammatory signals correlates with unfavorable prognosis in breast cancer and various other malignancies. Therefore, recognizing HMMR as a promising therapeutic target, the study validates the overexpression of HMMR in breast cancer and various pan cancers and its correlation with certain proteins such as AURKA, TPX2, and CDK1 through online databases. Furthermore, the pathways associated with HMMR were explored using pathway enrichment analysis, such as Gene Ontology, offering a foundation for the development of effective strategies in breast cancer treatment. The study further highlights compounds capable of inhibiting certain pathways, which, in turn, would inhibit the upregulation of HMMR in breast cancer. The results were further validated via MD simulations in addition to molecular docking to explore protein–protein/ligand interaction. Consequently, these findings imply that HMMR could play a pivotal role as a crucial oncogenic regulator, highlighting its potential as a promising target for the therapeutic intervention of breast carcinoma

Ferroptosis targeting natural compounds as a promising approach for developing potent liver cancer agents

Liver cancer is the second leading cause of cancer-related death worldwide. However, treatment options, including surgical resection, transplantation, and molecular drug therapies, are of limited effectiveness. Recent studies have demonstrated that suppressing ferroptosis might be a pivotal signal for liver cancer initiation, thus providing a new way to combat liver cancer. Ferroptosis is a distinct form of controlled cell death that differs from conventional cell death routes like apoptosis, necrosis, and pyroptosis. It results from intracellular iron overload, which raises iron-dependent reactive oxygen species. This, in turn, leads to the accumulation of lipid peroxides that further result in oxidative damage to cell membranes, disrupt normal functioning, and ultimately speed up the ferroptosis phenomenon. Ferroptosis regulation is intricately linked to cellular physiological processes, encompassing iron metabolism, lipid metabolism, and the equilibrium between oxygen-free radical reactions and lipid peroxidation. This review intends to summarize the natural compounds targeting ferroptosis in liver cancer to offer new therapeutic ideas for liver cancer. Furthermore, it serves as the foundation for identifying and applying chemical medicines and natural chemicals that target ferroptosis to treat liver cancer efficiently

Monomeric C-Reactive Protein Localized in the Cerebral Tissue of Damaged Vascular Brain Regions Is Associated With Neuro-Inflammation and Neurodegeneration-An Immunohistochemical Study

Monomeric C-reactive protein (mCRP) is now accepted as having a key role in modulating inflammation and in particular, has been strongly associated with atherosclerotic arterial plaque progression and instability and neuroinflammation after stroke where a build-up of the mCRP protein within the brain parenchyma appears to be connected to vascular damage, neurodegenerative pathophysiology and possibly Alzheimer's Disease (AD) and dementia. Here, using immunohistochemical analysis, we wanted to confirm mCRP localization and overall distribution within a cohort of AD patients showing evidence of previous infarction and then focus on its co-localization with inflammatory active regions in order to provide further evidence of its functional and direct impact. We showed that mCRP was particularly seen in large amounts within brain vessels of all sizes and that the immediate micro-environment surrounding these had become laden with mCRP positive cells and extra cellular matrix. This suggested possible leakage and transport into the local tissue. The mCRP-positive regions were almost always associated with neurodegenerative, damaged tissue as hallmarked by co-positivity with pTau and β-amyloid staining. Where this occurred, cells with the morphology of neurons, macrophages and glia, as well as smaller microvessels became mCRP-positive in regions staining for the inflammatory markers CD68 (macrophage), interleukin-1 beta (IL-1β) and nuclear factor kappa B (NFκB), showing evidence of a perpetuation of inflammation. Positive staining for mCRP was seen even in distant hypothalamic regions. In conclusion, brain injury or inflammatory neurodegenerative processes are strongly associated with mCRP localization within the tissue and given our knowledge of its biological properties, it is likely that this protein plays a direct role in promoting tissue damage and supporting progression of AD after injury.The authors extend their appreciations to the deputyship for Research & Innovation, Ministry of Education in Saudi Arabia for funding this research work through the project number (lFP-2020-36). The authors would also like to thank Deanship of Scientific Research at Majmaah University, Al Majmaah-11952, Saudi Arabia for supporting this work. This work was supported from a grant from the Competitiveness Operational programme 2014–2020: C-reactive protein therapy for stroke-associated dementia: ID_P_37_674, My SMIS code:103432 contract 51/05.09.2016

Pilot-Study to Explore Metabolic Signature of Type 2 Diabetes: A Pipeline of Tree-Based Machine Learning and Bioinformatics Techniques for Biomarkers Discovery

Background: This study aims to identify unique metabolomics biomarkers associated with Type 2 Diabetes (T2D) and develop an accurate diagnostics model using tree-based machine learning (ML) algorithms integrated with bioinformatics techniques. Methods: Univariate and multivariate analyses such as fold change, a receiver operating characteristic curve (ROC), and Partial Least-Squares Discriminant Analysis (PLS-DA) were used to identify biomarker metabolites that showed significant concentration in T2D patients. Three tree-based algorithms [eXtreme Gradient Boosting (XGBoost), Light Gradient Boosting Machine (LightGBM), and Adaptive Boosting (AdaBoost)] that demonstrated robustness in high-dimensional data analysis were used to create a diagnostic model for T2D. Results: As a result of the biomarker discovery process validated with three different approaches, Pyruvate, D-Rhamnose, AMP, pipecolate, Tetradecenoic acid, Tetradecanoic acid, Dodecanediothioic acid, Prostaglandin E3/D3 (isobars), ADP and Hexadecenoic acid were determined as potential biomarkers for T2D. Our results showed that the XGBoost model [accuracy = 0.831, F1-score = 0.845, sensitivity = 0.882, specificity = 0.774, positive predictive value (PPV) = 0.811, negative-PV (NPV) = 0.857 and Area under the ROC curve (AUC) = 0.887] had the slight highest performance measures. Conclusions: ML integrated with bioinformatics techniques offers accurate and positive T2D candidate biomarker discovery. The XGBoost model can successfully distinguish T2D based on metabolites

Perceived Application and Barriers for Gait Assessment in Physical Therapy Practice in Saudi Arabia

Introduction: Gait is a major function of independence that determines the quality of life, participation, and restriction. Gait assessment in physical therapy practice is fundamental for assessing musculoskeletal conditions. This study planned to determine the extent and barriers of using gait assessment tools by physical therapists in clinical practice in Saudi Arabia. Method: A cross-sectional design was used. A standardized survey was sent through e-mail and social media to physical therapists working in hospitals, clinics, and rehabilitation centers in different Saudi Arabian regions. Results: A total of 320 physical therapists from different regions in Saudi Arabia participated. There was a significant relationship between using gait assessment tools by physical therapists and patient groups (p = 0.002), receiving training (p = 0.001), dealing with patients who suffer from gait problems (p = 0.001), and visiting the gait laboratory (p = 0.001). Physical therapists’ use of gait assessment tools for musculoskeletal conditions in clinical practice in Saudi Arabia was limited. The primary barrier preventing physical therapists from using gait assessment methods in clinical practice was a lack of resources, including instruments, space, time, and funds

Effects of Task Related Training and Hand Dominance on Upper Limb Motor Function in Subjects with Stroke

Objetives: Recovery of upper limb motor function in stroke is limited. Different approaches are used to improve the upper limb function, but none has satisfactory results. The present study investigated the effect of task related training and role of hand dominance in upper limb motor function rehabilitation in stroke population. Methods: A convenient sample of 32 subjects divided into 4 groups with 8 subjects each took part in the study with an experimental design. The group 1, experimental dominant hand group, consisted of subjects with dominant hand paresis, the group 2 consisted of subjects with non dominant, group 3 & 4 consisted of dominant (dominant hand control group) and non dominant hand paresis (non dominant hand control group) .The group 1 and 2 received task related training and conventional therapy, while group 3 & 4 received conventional physiotherapy. All patients were assessed prior to training 4 weeks & after the 4 weeks of training program by using Chedoke Arm & Hand activity Inventory Score form, this score were used to find the difference between and within groups. Results: A within group analysis showed that there is a statistical significant difference for Chedoke Scores between pre training and post training in group 1, 2 and 3 but no significant difference in group 4. There was no significant difference between group1 post training scores there was a significant difference in post training scores group 1 and group 3. There was no significant difference in post training scores between group 3 and group 4. The comparison between group 2 and 4 group showed no significant difference in post training scores. Discussion: From this study it is evident that task related training and hand dominance play an important role in upper limb rehabilitation

Perceived Kinesiophobia and Its Association with Return to Sports Activity Following Anterior Cruciate Ligament Reconstruction Surgery: A Cross-Sectional Study

Background: The knee joint is one of the most important joints in terms of its functions of providing great stability, movement and weight bearing. Among the contributors to knee joint stability, there is the anterior cruciate ligament (ACL). Kinesiophobia is said to be the fear of movement or the fear of re-injury. Kinesiophobia is the most extreme form of fear of movement, and it is defined as an excessive, irrational, and debilitating fear of physical movement and activity resulting from a feeling of vulnerability to painful injury or re-injury. Aim: To estimate the prevalence and effect of kinesiophobia among patients with ACL reconstruction in the Aseer region, in southern Saudi Arabia. Methodology: A descriptive cross-sectional approach was used involving those patients who underwent ACL reconstruction surgery in Aseer Central Hospital during the period of October 2017 to October 2019. The Tampa Scale for Kinesiophobia (TSK) and ACL—Return to Sport after Injury (ACL-RSI) scale were used to determine kinesiophobia and the readiness to return to sport after ACL injury or reconstructive surgery. Result: The research included 130 ACL reconstruction patients with ages ranging from 18 to 45 years with a mean age of 27.2 + 7.5 years. More than 97% of the participants were males. In 67.7% of the cases, the right leg was affected. A total of 10.8% of the patients recorded a low level of kinesiophobia, while only 6.9% recorded a high level. Conclusions: In conclusion, the study revealed that among patients who underwent ACL reconstruction, kinesiophobia was at a moderate level. Kinesiophobia was recorded more among middle-aged patients who waited a long time from the onset of injury until the ACL reconstruction surgery time