timi

Introduction: Research provides a framework for Anesthesia residents who are critical thinkers who approach clinical practice with an open mind. The goal of this study was to determine current attitudes regarding performing research during residency as well as perceived obstacles to doing so. A resident physician should be ready to face the challenges of the growing technology, tons of journals published in different portals, and increasing sophistication of the health care delivery system. Practice-based learning, systems-based practices, and medical knowledge are the vital core directly affected by strong research skill set. Methods: The study was done through a survey of all 15 current residents in Vicente Sotto Memorial Medical Center Anesthesia Resident. They answered a 13 self-administered survey, which was adopted from previous similar research. Data was collected for 1 week to give time to the busy schedule of the resident. Results: Respondents cited that the lack of time in balancing clinical and research responsibilities is the most common obstacle encountered by 86.7% of respondents. Researchers feel they have inadequate research skills and a lack of time in balancing responsibilities between family and work was among the most common answers by the respondents. 2nd prevalent barrier to research during residency was a lack of mentoring. Conclusion: The top barriers to research are lack of time and inadequate access to research mentors. These barriers can be addressed to optimize the current research environment for residents. Anesthesia residents identified several critical aspects that they believe are obstacles to research. These findings can be used by programs to overcome hurdles and increase the inclusion of research into residency training.

The global menace of cancer requires supplementary treatments beyond standard medical approaches for effective medical intervention. The Ketogenic Diet (KD) composed of high fats combined with moderate proteins and low carbohydrates has become popular as a metabolic therapy for cancer. The anti-cancer mechanism of KD works through metabolic stress induction in cancer cells, reduced insulin and IGF-1 signaling pathways, improved mitochondrial function, inflammation, and immune regulation. Standard cancer treatments receive enhanced outcomes through KD synergistic action which simultaneously decreases treatment-related side effects. To achieve optimized treatment outcomes in cancer, ketogenic diet practitioners need to use personalized nutritional planning in combination with metabolic tracking and exogenous ketone supplements. It is essential to find solutions for diet adherence issues and nutrient deficiencies because they determine KD’s effectiveness as a cancer treatment. The fight against cancer needs sustained and multipronged clinical research and validation to establish the proper implementation of this method.

The integration of deep learning and genetic analysis has transformed the assessment of elite sports performance, particularly in competitive swimming. This study examines the fusion of deep learning techniques with DNA markers, physiological biometrics, and performance analytics to enhance the prediction and optimization of swimmer performance. A structured dataset comprising genetic sequences, physiological parameters, and biomechanical attributes was utilized to train a neural network model capable of categorizing swimmers based on genetic predisposition and athletic potential. The model achieved high classification accuracy, demonstrating a strong link between genetic markers, physiological traits, and competitive swimming outcomes. The findings emphasize the potential of AI-driven analytics in talent identification, customized training adaptations, and injury prevention. Furthermore, the study highlights the effectiveness of deep learning in analyzing complex genomic and physiological data to generate meaningful insights for performance enhancement. While the results validate the feasibility of using genetic and AI-based models for performance prediction, further studies are needed to broaden dataset diversity, integrate epigenetic influences, and test the model across varied athlete populations. This research contributes to the expanding field of AI-driven sports science and provides a solid foundation for incorporating genomics with deep learning to enhance elite athletic performance.

Background: Full-field Digital Mammography (FFDM) is essential for the early detection of breast cancer. Digital Breast Tomosynthesis (DBT) has improved cancer diagnosis and reduced false positives in mammography . This study evaluated DRLs for FFDM and DBT at various ranges of Compressed Breast Thickness (CBT).Material and methods: We evaluated the parameters like Average Glandular Dose (AGD), kVp, mAs, Entrance Surface Dose (ESD), and CBT in a retrospective analysis of FFDM and DBT. We computed the mean, median, range, and 75th percentile for Craniocaudal (CC) and Mediolateral Oblique (MLO) views at various breast thicknesses.Results: The DRLs were 0.70 mGy to 2.55 mGy for FFDM and 0.94 mGy to 3.67 mGy for DBT for breast thickness in the range from 20 mm to 89 mm.Conclusion: This analysis revealed that DRLs were significantly lower than international benchmarks . Mammography radiation dose optimisation enhances diagnostic accuracy and patient safety.

Polymer Electrolyte Membrane Fuel Cells (PEMFCs) operating in Dead-Ended Anode (DEA) mode present a promising alternative to traditional flow-through systems by simplifying design and reducing costs. However, their efficiency and durability are challenged by transient phenomena such as water accumulation, nitrogen buildup, and carbon corrosion throughout operation. This review investigates the dynamic behavior of DEA PEMFCs under dynamic operating states, aiming to improve their efficiency. By analyzing purge cycle optimization and transient response characteristics, we identify strategies to mitigate hydrogen loss, maintain voltage stability, and extend stack lifetime. The key findings indicate that precise purge scheduling and effective water management are critical for optimizing performance, with dynamic models providing insights into time-dependent processes. This study underscores the potential of DEA PEMFCs for high-efficiency applications provided transient effects are effectively managed.

Touch DNA, the minute quantities of DNA deposited through skin contact, has become a valuable tool in forensic investigations. However, the recovery of touch DNA from non-porous surfaces remains a challenging task, requiring optimized collection and extraction techniques to maximize DNA yield, because non-porous surfaces have smooth, non-absorbing material properties. This review explores various non-porous surfaces such as glass, plastic, and metal, analyzing their impact on DNA recovery efficiency. Different collection methods, including swabbing, tape lifting, scrubbing, and vacuum collection methods, are evaluated to determine their effectiveness in retrieving minute amounts of DNA from these surfaces. Through a comparative analysis of existing studies, this paper identifies which collection methods work best for different non-porous surfaces and why choosing the right technique matters. Factors such as surface type, environmental conditions, and collection technique performed, time duration, and so on can affect DNA recovery, making it crucial to use the most effective approach. This review also emphasizes the need for standardized protocols to ensure consistent and reliable results in forensic investigations. Having clear guidelines can reduce errors, improve DNA analysis, and make touch DNA analysis more reliable in forensic investigations. By focusing on these aspects, this study aims to contribute to the ongoing efforts in refining touch DNA recovery strategies.

Introduction: Bronchoscopy could lead to local spread of pre-existing infection, spread of infection from one patient to another if the bronchoscope is disinfected inadequately, or, isolation of microorganisms from bronchoscopic specimens in a patient who is clinically not infected, i.e., pseudo-infection. This study is one such investigation of an outbreak of bronchoscopic pseudo-infections in a tertiary care hospital.Materials and methods: Bronchoalveolar lavage (BAL) samples were inoculated onto MacConkey Agar and 5% Sheep Blood Agar and incubated at 37 °C overnight. The growths obtained on culture media were processed for identification and antimicrobial susceptibility on Vitek 2 Compact as per manufacturer’s instructions. To investigate the outbreak, 5 mL - 10 mL of sterile water was flushed through the channels of disinfected bronchoscope and collected in a sterile container. The samples were centrifuged and inoculated onto MacConkey Agar and 5% Sheep Blood Agar. The growths obtained were further processed similarly as the BAL samples were processed. Environmental swabs collected from the bronchoscopy unit were also processed as the procedure mentioned above.Results: Bronchoalveolar lavage of 3 patients in a period of 1 week were contaminated with multidrug resistant Klebsiella pneumoniae. Two out of five bronchoscope fluid samples were also contaminated with Klebsiella pneumoniae. Among the swabs collected from bronchoscope unit, Klebsiella pneumoniae was isolated from the detergent box of the endowasher. Conclusion: The risk of propagation of infection via a bronchoscope can be evaded by proper reprocessing and improving the sterilization practices. 

Urinary Tract Infections (UTIs) are common opportunistic diseases, primarily caused by Escherichia coli, which utilizes various virulence factors, including the hlyA gene encoding hemolysin. Phenolic compounds in fruits and vegetables, known for their antimicrobial properties, were examined for their effects on E. coli. This study involved 60 E. coli isolates from Aleppo University Hospital, identified via biochemical and molecular tests. The hemolytic ability was assessed phenotypically, and the hlyA gene was detected using PCR. The impact of pyrogallol and catechol on these isolates was also evaluated. Results showed a 54.6% isolation rate of E. coli, with a higher rate in females (71.7%) than males (28.3%). The 20-40 age group was most affected, comprising 38.4% of cases. Hemolytic activity was observed in 45% of isolates, and the hlyA gene was present in 41.6% of cases. Pyrogallol exhibited a bactericidal effect at high concentrations and mild growth at lower levels, while catechol showed no antibacterial effects. These experimental investigations were validated by docking those polyphenols to the hlyA predicted, validated 3D structure where pyrogallol exhibited stronger binding affinity than catechol (-5.2 vs. -4.8 kcal/mol). The study underscores the significance of the hlyA gene in E. coli virulence and highlights the potential antibacterial properties of phenolic compounds at specific concentrations.

The examination and the survey of how a person moves, particularly the way of life of walking and running. It entails studying and quantifying a person's gait in terms of their stride length, cadence, foot position, and movement of various body joints. Wearable technology makes it possible to monitor the gait pattern continually while moving about freely. The direction line, gait line, foot line, foot angle, principle line, step length, step breadth, and displacement value obtained from the gyro and accelerated sensors coupled to the shank and thigh are all used to analyze the gait pattern. There has been a lot of research on this method of recognizing people by the way they walk.The two most crucial facts are that OpenPose, a 2D multi-person posture estimation library, can detect 135 critical body locations without the requirement for fiducial markers, and that smartphone cameras can detect the gait pattern without the use of physical markers. In addition, lower extremity sagittal joint angles, spatiotemporal gait parameters, and timings of gait events were independently determined for motion capture. Gait analysis systems use portable, readily available cameras to measure gait characteristics. The pace of gait, length of steps, time of steps, cadence of steps, and the period of stance are the most crucial factors. Recently, the top standard for the examination of gait was used to evaluate the schemes based on two camera usage to evaluate the framework of different gait patterns.The precision of the examination of SCA is being increased by data scientists through the development of AI-based computer algorithms. To increase individualization, Bertillon measured the body and faces of several convicts in 1883.

Biotechnology has always played an important role in tackling global concerns, particularly in the Global South, where socioeconomic gaps sometimes stymie scientific progress. Recent advances in synthetic biology and computational technologies have the potential to revolutionize biotechnology in these locations. Synthetic biology allows for the creation and manipulation of biological systems, with promise applications in healthcare, agriculture, and environmental control. Computational methods such as machine learning and artificial intelligence help to optimize synthetic biology processes, enabling innovations that are suited to local requirements. The combination of these cutting-edge technologies with traditional biotechnological techniques has the potential to dramatically improve the Global South's ability to solve issues such as disease outbreaks, food security, and sustainable development. This abstract outline the critical intersections of synthetic biology and computational advancements and their potential to empower the Global South, highlighting the need for supportive policies and capacity-building initiatives to maximize their impact.

Purpose: Stroke frequently causes severe deficits in upper limb function, which makes it difficult for patients to carry out daily tasks. An organized home-based intervention called the Graded Repetitive Arm Supplementary Program (GRASP) was developed to help stroke patients regain function in their hands and arms. This systematic review assesses the data demonstrating beneficial effects of the GRASP approach on hand function, gross and fine motor control of the upper limb in individuals post-stroke.Methods: A systematic search was performed in databases including PubMed, Scopus, CINAHL, and Cochrane Library up to April 2025. We searched the data using Keywords such as “GRASP,” “Graded Repetitive Arm Supplementary Program,” “stroke rehabilitation,” “upper limb recovery,” “fine motor skills,” and “gross motor control.” Inclusion criteria were randomized controlled trials (RCTs), quasi-experimental studies, and cohort studies involving adult stroke survivors undergoing GRASP. Studies were excluded if they were non-English and focused on other forms of intervention. Quality assessment was performed using the PEDro scale and Cochrane risk-of-bias tool.Results: Out of 243 studies initially screened, 8 met the inclusion criteria. Most studies reported significant improvements in upper limb function, including enhanced hand dexterity, grip strength, and coordination following participation in GRASP programs. High adherence rates and participant satisfaction were consistently noted. Some studies indicated that benefits were maintained at follow-up, suggesting long-term efficacy. Common outcome measures included the Fugl-Meyer Assessment (FMA), Box and Block Test (BBT), and Action Research Arm Test (ARAT).Discussion: The findings suggest that GRASP is an effective adjunct to conventional stroke rehabilitation, particularly for enhancing hand function and motor control. The structured yet flexible nature of GRASP allows for scalability and adaptability to various patient needs. Limitations of the reviewed studies include small sample sizes, heterogeneity in intervention duration, and variability in outcome measures. Further research with standardized protocols and larger samples is warranted.Conclusion: The GRASP approach appears to be a promising intervention for improving functional ability of the hand, and gross and fine motor control in the upper limbs post-stroke. Incorporating GRASP into home-based rehabilitation could enhance recovery and reduce long-term disability. Continued research is essential to establish best practices for implementation and to optimize patient outcomes.