79 research outputs found
The Effectiveness of Hybrid Working In Improving Employee Work-Life Balance and Employee Performance
Technological advances have changed the traditional work paradigm into a more flexible model, especially the Hybrid Working work model, which combines working from the office (WFO) and working from home (WFH). This model has gained popularity during the COVID-19 pandemic as companies try to adapt to the new reality. This study investigates the impact of hybrid working on work-life balance. The goal is to understand how this work model can improve employee Work-Life Balance. The research methodology used is a library research method, which involves collecting and analysing relevant academic sources, including journals, articles and publications related to Hybrid Working, work-life balance and employee performance. Research design involves thorough selection, screening, and analysis of literature to gain meaningful insights. Findings show that Hybrid Working significantly improves work-life balance, leading to increased productivity and employee performance. Key aspects include improved time management, reduced stress, and increased commitment to the organization. This model allows employees to fulfil personal responsibilities while maintaining work efficiency. Companies or organizations that adopt hybrid working are expected to increase employee productivity, welfare and loyalty, reducing overall turnover rates. Effective implementation depends on leveraging technology, strong leadership, and supportive policies.
Keywords: Hybrid working, Work life balance, Employee performanc
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.
"The Spiritual Discipline of Fasting: A Comparative Exploration in Judaism, Christianity, and Islam"
Fasting is considered an important worship ritual in Abrahamic religions which teaches moral discipline, sacrifice, repentance and devotion to God. This study highlights the objectives as well as historical, ritualistic and theological aspects of fasting. It also explores the similarities and differences among these traditions in order to observe this practice. Torah and rabbinic tradition provide the foundations of fasting in Judaism. These teachings highlight repentance and communal mourning by significant fasts like Yom Kippur. Christianity connects fasting to solidarity with Christ’s AS suffering and spiritual preparation, mostly prominently observed during Lent. In Islam, fasting primarily observed in the month of Ramadan along with voluntary fasting which can be observed throughout the year excluding Eid days. The objective of fasting in Islam is to develop spiritual purity, community solidarity, physical discipline and charity. This is a qualitative research which is based on secondary sources; books, articles and online sources. A comparative analysis highlights the shared themes, spiritual renewal and empathy. It also highlights the comprehensiveness of Islamic fasting and its global impact. Fasting helps people to develop piousness, empathy with poor and sacrifice of wishes for the sake of God in Abrahamic faiths
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
Synthesis and Characterization of Mesoporous SBA-15 as Carriers to Improve the Rutin Dissolution Rate
Background: Due to its low water solubility, Rutin, a crystalline medication used to treat a variety of conditions, has a limited rate of dissolution when given in gastrointestinal fluids. The present study planned to formulate and characterize Rutin using mesoporous silica material (SBA-15) as well as to determine the in-vitro dissolution properties. Methods: Rutin was formulated using mesoporous silica material such as SBA-15. Particle size distribution analysis, fourier transform-infrared (FT-IR) spectroscopy, scanning electron microscopy, and X-ray diffraction were used to characterize the compound in the complex. Rutins solubility and in-vitro release characteristics were assessed. Furthermore, the dissolution data (DD) Solver Excel add-in software was used to evaluate several mathematical models to interpret the Rutin dissolution kinetics from the mesoporous materials. Results: Differential scanning calorimetry was used to confirm Rutins amorphous state, which resulted in a significantly higher rate of dissolution than pure crystalline Rutin. The release of the drug from the Rutin/SBA-15 complex was well-simulated by the Weibull model. Notably, the SBA-15 carrier-mediated complex of Rutin exhibited the highest drug loading and dissolution rate, showing promising potential for enhancing Rutin bioavailability. Conclusion: The findings suggested that Rutin/SBA-15 could be easily incorporated into conventional oral pharmaceutical dosage forms such as capsules and therefore can be utilized for treating ailments such as allergies, inflammation, tumors, infections, protozoal diseases, and spasms. To assess the Rutin/SBA-15 complexs in-vivo pharmacokinetic performance and appropriateness for a range of pharmacological actions, more investigation is required
Anti-Cataleptic Activity, Evaluation of Graded Doses and Different Ratios of Polyherbal Formulation Triphala against Haloperidol-Induced Catalepsy in Swiss Albino Mice
Background: Extrapyramidal side effects are a considerable risk associated with most drugs used to treat psychotic illnesses, and they can negatively impact treatment outcomes. Consequently, there is an ongoing requirement to investigate alternative medicines for managing the side effects. Triphala consists of Terminalia chebula Retz. (Haritaki), Terminalia bellirica (Gaertn.) Roxb. (Bibhitaki) and Emblica officinalis Gaertn. (Amlaki) in equal ratio (1:1:1) is one of the most important polyherbal formulations used in the Indian system of medicine. The objective of the present study was to investigate the preventive efficacy of graded doses of different ratios of Triphala (formulations) and antioxidant effects against haloperidol in Swiss albino mice. Methods: Graded doses (2.5, 6.25, 12.5 mg/kg) of Triphala in the ratio of 1:1:1, 1:2:3, and 1:2:4 proportions of the three myrobalans, or scopolamine (1.0 mg/kg) or ondansetron (0.5 mg/kg) were pretreated daily (per oral) for 7 days, before administration of haloperidol (5.0 mg/kg, i.p, on 7th day) to induce catalepsy in Swiss albino mice. The behavioral parameters were recorded using the standard bar test, akinesia, and rotarod test at various time points. The animals were euthanized, and the brain was used to study the levels of superoxide dismutase and lipid peroxidation. The data was subjected to a one-way analysis of variance (ANOVA) followed by the Dunnett test and a p-value of <0.05 was considered significant. Results: The findings show that Triphala enhanced superoxide dismutase and decreased lipid peroxidation, and it significantly (p < 0.001) decreased the cataleptic, rotarod, and akinesia scores. The results were comparable with the observations recorded for standard drugs. Besides, lower (2.5 mg/kg) and higher (12.5 mg/kg) doses of Triphala formulations exhibited enhanced efficacy (p < 0.001) than standards at the initial periods after haloperidol exposure. Further, the improvement in antioxidant status was also found to be better than standards. Conclusion: The data suggested that the Triphala formulations might possess better efficacy than scopolamine and ondansetron in preventing haloperidol-induced complications. More research in this direction might identify an alternative safe herbal medicine for preventing as well as treating the extrapyramidal side effects of antipsychotics
Targeting p53 misfolding conundrum by stabilizing agents and their analogs in breast cancer therapy: a comprehensive computational analysis
Cancer continues to be a major global public health concern and one of the foremost causes of death. Delays in the diagnosis and cure may cause an increase in advanced stage disease and mortality. The most common cancer found in women currently is breast carcinoma. Breast carcinoma has surpassed lung carcinoma and currently represents the chief type of cancer diagnosed (2.3 million new cases, which amount to 11.7% of all cancer cases). In addition, by 2040, the incidence will increase by more than 46% as per the estimates of GLOBOCAN. Triple-negative breast cancer (TNBC) represents a highly aggressive and invasive subtype of breast cancer, characterized by rapid progression, short response time to the available treatment, and poor clinical results. Thus, it is very crucial to develop novel diagnostic tools and therapeutics with good efficacy. A majority of cancers display malfunction along the p53 pathway. Moreover, p53 not only loses its function but is also prone to misfolding and aggregation, leading to formation of amyloid aggregates as well. Research is being carried out to find ways to restore the normal action and expression of p53. Here, we have explored PhiKan-083 for its possible stabilizing effect on p53 in order to address the problem with its misfolding. Thus, examining the analogs of PhiKan-083 that have a role in p53 stability will help update our understanding of cancer progression and may expedite the progress of new anticancer treatments. We anticipate that the drug molecules and their analogs targeting p53 aggregation may be used in combination with other anticancer compounds to solve the problem with p53 aggregation. In this study, by employing ADMET analysis, the compounds were screened, and we further examined the chosen compounds with the help of molecular docking. By using databases like UALCAN, TIMER, GEPIA, and PredictProtein, we investigated TP53’s expression pattern and prognostic relevance in various cancer settings
Corrigendum: Targeting p53 misfolding conundrum by stabilizing agents and their analogues in breast cancer therapy: a comprehensive computational analysis
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