The psychological burden of physicians has been the focus of many researchers since the 1950s, and some papers have found a high prevalence of anxiety and depressive disorders among medical staff. Recent studies have shown that the coronavirus pandemic didn’t go easy on healthcare workers. The fact that it has been three years since the outbreak, has motivated our study. Which aims to evaluate the intensity of anxiety among medical personnel and the risk factors that could be incriminated post-COVID pandemic and if the level of anxiety is back to normal. This is a cross-sectional study, carried out with a survey split into 2 parts sociodemographic and work-related data, and the French version of the Hamilton anxiety scale, Statistical analysis was performed using Jamovi et Microsoft Excel. About half of the 116 physicians in our study had no anxiety (55.2%), while 21.6% had mild anxiety, 10.3% had moderate anxiety, and 12.9% had severe anxiety. The identified risk factors for anxiety were female gender, personal and family history of anxiety disorder, doing night shifts, and being a general practitioner. The anxiety rate of physicians is back to normal post-COVID pandemic. But we shouldn’t stop there. The mental health status of medical personnel depends on several of the factors listed above. Determining them would imply a call for the implementation of preventive measures for anxiety and depressive disorders among physicians. Because taking care of physicians is taking care of patients.
Alexandra Maloof*, David Torres Barba, Santiago Ramirez Nuño, Nainjot K Bains, Ignacio A Zepeda, Armando Gallegos, Hyeri You, Wesley Thompson, Jia Shen, Robert El-Kareh and Luis R Castellanos
Published on: 29th June, 2024
Introduction: Despite the benefits of Cardiac Rehabilitation (CR), local and national CR referral and participation rates remain low when compared to established cardiovascular therapies, especially amongst racial/ethnic groups. Objectives: This study investigated the effects of the implementation of a CR program and electronic order set (EOS) in a large health system on CR referral and participation rates among a diverse group of patients with Coronary Heart Disease (CHD). Methods: A total of 360 patients from UCSD Health who presented with ACS were prospectively evaluated during initial hospitalization and 6- and 12-weeks post-discharge. The multivariable logistic regression model assessed referral and participation rates by week 1 and -12 post-discharge, adjusting for gender, age, race, ethnicity, geography, and referring physician subspecialty. Results: UCSD CR program implementation led referral rates to increase at week 1 (Pre- 38.6% and Post-54.9%, p = 0.003) and week-12 (Pre- 54.1% and Post- 59.8%, p = 0.386). Post-CR referrals were more likely at week-1 (OR: 1.93, 95% CI 1.27-2.95) and week-12 (OR: 1.26, 95% CI 0.79-2.00). EOS implementation increased referral rates at week-1 (Pre- 40.3% and Post- 58.7%, p < 0.001) and week-12 (Pre- 54.9% and Post- 60.4%, p = 0.394) with referrals more likely at week-1 (OR: 2.1, 95% CI 1.35-3.29) and week-12 (OR: 1.25, 95% CI 0.795-1.98). Participation in CR following EOS was more likely at both week-1 and week-12. Multivariable analysis revealed disparities in referral based on race, geographic location, and referring physician subspecialty. Conclusion: A CR program and EOS implementation were shown to increase referral rates with long-term potential for increasing referral and participation rates. Condensed abstract: This prospective study investigated the implementation of a Cardiac Rehabilitation (CR) program and Electronic Order Set (EOS) within the same health system on CR referral and participation rates. 360 patients with ACS were evaluated over 12 weeks. UCSD CR program and EOS implementation led referral rates to increase at week-1 and -12. CR participation was more likely to increase at week-1 and -12 following EOS. Multivariable analysis revealed disparities in referrals disproportionally affecting racial and ethnic minority groups and rural communities. CR and EOS implementation may increase CR referral rates for diverse patients with CHD.
Elisha Benkeni Kapya*, Marjorie Kabinga Makukula, Mwaba Chileshe Siwale, Victoria Kalusopa Mwiinga and Elijah Mpundu
Published on: 28th June, 2024
Background: Cervical Cancer poses a significant global health challenge, especially in lowresource settings. It is a significant health problem worldwide, with over half a million new cases diagnosed each year, accounting for approximately 6.6% of all gynecological Cancer cases and over 300,000 deaths each year. In Zambia, it is the leading cause of mortality and morbidity among women. The number of cases has increased by approximately 40%. This study explored the lived experiences of Cervical Cancer patients undergoing chemotherapy at the Cancer Diseases Hospital in Lusaka, Zambia, focusing on their subjective experiences. By examining their journeys through chemotherapy, the study aimed to highlight the subtle complexities in which treatment impacts patients’ lives and well-being. Methods and procedures: Employing a qualitative descriptive phenomenological study design, in-depth interviews were conducted with 10 participants with diverse demographics. The sample size was determined by data saturation and saturation was reached at 10. Ethical protocols were ensured, and Study approval was obtained from UNZABREC and the National Health Research Authority. Thematic analysis was conducted on audio-recorded interviews with cervical cancer patients, ensuring confidentiality and accuracy while discerning significant patterns and themes in their narratives. Results/findings: Emotional experiences ranged from anxiety to gratitude. Psychological challenges encompassed coping mechanisms, stress management, emotional adjustments, and treatment-related fears. Socially, community support, workplace accommodations, and healthcare provider roles were key. Physical experiences revealed side effects managed through coping strategies. Financial challenges significantly impacted individuals and families. Conclusions and recommendations: The study revealed that cervical cancer patients undergoing chemotherapy face complex challenges spanning emotional, psychological, social, physical, and financial domains, underscoring the imperative for comprehensive patient-centered care. Recommendations suggest focusing on financial aid for cancer patients and tackling treatment expenses and insurance issues. The Cancer Diseases Hospital should establish multidisciplinary teams for holistic care, and enhance patient education efforts. Nurses should adopt strategies integrating cultural competence and patient-centered care to address diverse challenges during chemotherapy. These aim to enhance the well-being and care quality of Cervical Cancer patients.
Microbiome-gut-brain axis represents a complex, bidirectional communication network connecting the gastrointestinal tract and its microbial populations with the central nervous system (CNS). This complex system is important for maintaining physiological homeostasis and has significant implications for mental health. The human gut has trillions of microorganisms, collectively termed gut microbiota, which play important roles in digestion, immune function, and production of various metabolites. Some current research shows that these microorganisms strongly influence the brain function and behaviour of individuals, forming the basis of the microbiome-gut-brain axis. The communication between gut microbiota and the brain occurs via multiple pathways: neural pathway (e.g., vagus nerve), endocrine pathway (e.g., hormone production), immune pathway (e.g., inflammation modulation), and metabolic pathway (e.g., production of short-chain fatty acids). Dysbiosis, or imbalance of gut microbiota, has been linked to mental health disorders such as anxiety, depression, multiple sclerosis, autism spectrum disorders, etc, offering new perspectives on their etiology and potential therapeutic interventions. Artificial Intelligence (AI) has emerged as a powerful tool in interpreting the complexities of the microbiome-gut-brain axis. AI techniques, such as machine learning and deep learning, enable the integration and analysis of large, multifaceted datasets, uncovering patterns and correlations that can be avoided by traditional methods. These techniques enable predictive modeling, biomarker discovery, and understanding of underlying biological mechanisms, enhancing research efficiency and covering ways for personalized therapeutic approaches. The application of AI in microbiome research has provided valuable insights into mental health conditions. AI models have identified specific gut bacteria linked to disease, offered predictive models, and discovered distinct microbiome signatures associated with specific diseases. Integrating AI with microbiome research holds promise for revolutionizing mental health care, offering new diagnostic tools and targeted therapies. Challenges remain, but the potential benefits of AI-driven insights into microbiome-gut-brain interactions are immense and offer hope for innovative treatments and preventative measures to improve mental health outcomes.
Nnenna Maureen Ozioko*, Nkiru Mary Okoloagu, Emmanuel Sunday Onah and Catherine
Published on: 8th July, 2024
Background: The establishment of eye clinics in the form of rural outreach centers as a means of educating and providing eye care to rural residents was made necessary by the lack of eye care services in rural areas within Nigeria and the need to increase the cataract surgical rate among ophthalmologists in training. Understanding patterns of eye diseases in rural areas and eye health-seeking behaviors is crucial to achieving the goals of Vision 2020 especially for aspiring ophthalmologists.Aim and objectives: To examine the types of eye conditions observed at Nenwe, a rural outreach post of a tertiary hospital, and to evaluate their distribution.Methodology: A retrospective analysis of all patients who were seen at the community eye clinic during seven years was carried out. Records of patients at the Nenwe outreach eye clinic dating from November 2016 to August 2023 were examined, yielding information on patients examined during the period of study.Results: Glaucoma was the most common eye condition to be diagnosed. Cataracts were the second most common eye condition accounting for 20.8%. Other common eye illnesses were refractive error (9%), pterygium (7%), and allergic eye disease (6%) with 129, 101, and 95 cases, respectively. Retinal detachment (51 cases), prebyopia (47 cases), corneal lesion (58 cases), and dry eye condition (47 cases) were less common.Conclusion: The results show the burden of eye disorders in the Nenwe rural community and the importance of community-based eye care services.
Numerous studies relate differences in microbial communities to humans. The microbiome is fundamental for the human turn of events, invulnerability, and nourishment. The ordinary microbiota has explicit capability in supplement digestion, xenobiotic and drug digestion, upkeep of underlying trustworthiness of the stomach mucosal boundary, immunomodulation, and assurance against microorganisms. Out of nowhere, it assumes a significant part in criminology. In a few criminal examinations, such perceptible changes in the microbiome and mycobiome can decide the reason or the genuine spot of death. The microbial follows found at the crime location can likewise give obvious proof of responsibility. The point of this audit was to study the microbiome and its applications in scientific sciences and to decide the primary lines of examination that are emerging, as well as its potential commitments to the scientific field.’
This paper reviews the transformative impact of Artificial Intelligence (AI) on civil engineering. It explores AI's fundamental concepts and its applications across structural analysis, construction management, transportation, geotechnical engineering, and sustainability. The review highlights AI's role in automating tasks, predicting outcomes, and optimizing designs throughout project lifecycles. Recent advancements in AI-driven technologies for structural health monitoring, predictive maintenance, and risk assessment are discussed, along with challenges like data quality and model interpretability. Future trends such as autonomous construction and digital twins are examined, emphasizing the need for continued research and interdisciplinary collaboration. In conclusion, this paper offers insights for leveraging AI to address evolving challenges and opportunities in civil engineering, fostering innovation, sustainability, and resilience in infrastructure development.
Background: Some studies have shown an association between spinal curvature and strabismus, but the genetic association has not been clarified. Therefore, the present study is proposed to be a Mendelian randomization study aiming to investigate the genetic causal association between spinal curvature and strabismus.Purpose: Genetic causal associations between strabismus, convergent concomitant strabismus (Ccs), Divergent concomitant strabismus (Dcs), Other specified and unspecified strabismus (Osus), Other strabismus (Os) and spinal curvature were investigated by a bidirectionalMendelian randomization study to provide a basis for the prevention and treatment of spinal curvature.Methods: Significant and independent Single Nucleotide Polymorphisms (SNPs) in genome-wide association studies were selected as Instrumental Variables (IVs) for Mendelian Randomization (MR) analysis. Inverse Variance Weighted (IVW), MR-Egger regression, Weighted Median (WME), Simple Mode (SM), and weighted mode (WM) were used to analyze causal association; Heterogeneity and multiplicity tests were also performed and analyzed using the leave-one-out method to assess the stability of the results.Results: MR and reverse MR were utilized to assess the impact of scoliosis on strabismus, revealing that the 95% confidence intervals of all instrumental variables’ OR values spanned 1 and the p values were all above 0.05. These results indicate a lack of evidence supporting a causal relationship between scoliosis and strabismus. Conclusion: There is currently no conclusive evidence of a genetic causal relationship between scoliosis and strabismus, including their subtypes. Further laboratory studies are needed to confirm these findings, and future research with larger sample sizes is necessary to provide more robust support.
West Africa’s population is projected to reach 500 million by 2050, exacerbating the need for reliable drought detection and management strategies to ensure food and water security. This study investigated drought detection in West Africa using the Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI). The objective is to evaluate the performance of SPI and SPEI in detecting droughts and compare their strengths and limitations. The results revealed that both indices detected droughts effectively, but SPEI was more sensitive to evapotranspiration and temperature change. The findings offer valuable insights into climate change impacts, drought monitoring, and sustainable water resource management in the regions under investigation in West Africa.
Herbarium records provide a valuable historical database for assessing plant phenology shifts in the context of global climate change. The herbarium specimens, collected from diverse locations and periods, offer comprehensive data illustrating how many plants are altering their blooming times in response to global climate change. The appropriate use and analysis of long-term herbarium records offer an additional dimension for the study of plant phenology through the application of advanced experimental methodologies such as bioinformatics and satellite imagery, statistics, and Artificial Intelligence (AI) which, coupled with field observations, will improve ecosystems evaluation. These efforts can significantly contribute to conservation strategies and climate change mitigation and further support the synchronization of scientific inputs for evaluating the impacts of climate change and its ecological implications.
Cristina Popescu, Mircea-Sebastian Șerbănescu, Gigi Calin* and Magdalena Rodica Trăistaru
Published on: 31st July, 2024
Introduction: Childhood obesity is one of the current themes of medical research, being considered not so much a multidimensional condition but primarily a real problem of worldwide interest.The aim of our randomized study was to evaluate and compare the effects of physical exercise associated with an educational program on clinical-functional status in overweight and obese children.Material and method: Participants were children hospitalized, through the emergency service, in the Pediatric Department, Craiova Municipal Clinical Hospital, between June and November 2023. 93 overweight and obese children, aged between 2 and 16 years, were evaluated (clinical, paraclinical and functional) by a multidisciplinary team and randomized into the control group (group C – 63 children) and the study group (group S – 30 children). After the resolution of the acute digestive or respiratory disease, the children in group S underwent a program to restore their functional status, based on educational measures (following the 5-2-1-0 rule) and physical exercises, for 12 weeks. Anthropometric data were measured (height, weight, body mass index); physical performance wasevaluated by gait analysis (we used the BTS G – WALK / BTS G – SENSOR 2 system, BTS Bioengineering Corp, Italy) with the determination of four parameters – the Timed Up-and-Go (TUG) test, the symmetry index, the walking test six minutes (6 MWT) and walking cadence or average cadence (steps/min) in both groups of children.The results were obtained by analyzing the differences in values obtained in the two moments T1 (initial) and T2 (after three months). The proportion of girls and boys was approximately equal within obesity class in each study group. Although we did not obtain statistically significant differences between the monitored parameters, between the two groups, for the two evaluation moments, the children in Group S had a clearly favorable evolution for physical performance parameters, whose average value was improved in T2. Anthropometric data did not change.Conclusion: The present study confirms the effectiveness of the multimodal (educational-kinetic) program for the physical performance of overweight/obese children. The sustained running of the program at home, with the involvement of the family and the school environment, is essential for the well-being of these children, with a favorable impact on the quality of life later.
Appel F*, Ercolin S, Monteiro MM, Lomes N, Uehara S, Emori CT, Nunes EJS, El Bacha I, Oliveira AC, Feldner ACCA, Silva ISS, Silva AEB, Ferraz MLG, Parise ER and Carvalho-Filho RJ
Published on: 2nd August, 2024
Chronic infection with the hepatitis C virus (HCV) is estimated to affect 58 million people worldwide and around 700,000 individuals in Brazil. Various non-invasive markers of hepatic fibrosis have been proposed, such as transient hepatic elastography (THE) using FibroScan®. However, the reliability of the performance, by operators in the training phase is undetermined, which hinders its applicability in clinical practice. Objectives: The present study aimed to evaluate the impact of training an inexperienced operator to perform the examinations using FibroScan® in patients with chronic hepatitis C. Specifically, the frequency of unreliable results throughout the training was assessed. Methods: This is a cross-sectional study with retrospective data collection including compensated chronic hepatitis C patients who underwent the examinations using FibroScan® between March 2014 and December 2016, performed by two researchers. Included patients were divided into two groups based on the operator's experience in the examination: the Experienced Examiner (EE) group and the Examiner in Training (ET) group, with the latter divided into two phases: phase 1, consisting of the first 100 examinations, and phase 2, comprising subsequent examinations. For the reliability analysis, parameters such as success rate (SR), interquartile range (IQR) to median (Md) ratio (IQR/Md), and reliability criteria of Castéra, et al. and Boursier, et al. were used. Results: Between March 2014 and December 2016, 771 adult HCV-infected individuals were evaluated and divided into EE group (n = 161), ET phase 1 (n = 100), and ET phase 2 (n = 158), showing similar demographic, clinical, and laboratory characteristics. SR and IQR/Md ratios were similar among EE, ET phase 1, and ET phase 2 groups. The proportion of reliable results was comparable in all three groups, using Castéra, et al. reliability criteria (92.5%, 92.0%, and 97.5%, respectively) and Boursier, et al. criteria (96.9%, 95.0%, and 98.1%, respectively). Conclusion: A short training period (up to 100 examinations) seems to be sufficient for them to have good clinical applicability in the hands of an operator with initial experience in the method
This study assesses air pollution in Sichuan Province, China, from January 2019 to December 2023 using Copernicus Sentinel-5P satellite data. The analysis reveals distinct seasonal variations in levels of Carbon Monoxide (CO), Nitrogen Dioxide (NO₂), Sulfur Dioxide (SO₂), and Ozone (O₃), with urban areas experiencing higher concentrations due to industrial and vehicular emissions. CO and O₃ frequently exceeded WHO guidelines, particularly in winter and summer, indicating significant health risks. While most pollutant levels remained within safety limits, the findings highlight the importance of continuous monitoring and targeted mitigation strategies to improve air quality and safeguard public health, especially in urban environments.
Many reports are showing no differences in prognosis between patients with Heart Failure (HF) with preserved and reduced ejection fraction. All-in-one analysis with a multivariable model, including clinical characteristics, blood test, comorbidity, and echocardiographic indices, on clinical outcomes in patients with HF has not been performed rarely in previous studies. We have to accept the need to be more comprehensive in the outcome analysis of patients with HF and consider the intricate interplay of multiple variables in patient outcomes.
Bloodstain Pattern Analysis (BPA) is a crucial forensic technique in crime scene investigation, employing the interpretation of blood spatter patterns to reconstruct event sequences and determine spatial relationships between victims and surfaces. This study explores BPA’s application in forensic science, emphasizing its role in establishing links between crimes and culprits, as posited by Edmond Locard’s exchange principle. The research examines how bloodstain shape, size, and distribution reveal critical information about impact angles, areas of convergence, and points of origin, while also providing insights into blood flow direction, force applied, suspect positioning, and weapons used. The investigation delves into various bloodstain types, including void patterns, spikes, and satellite stains, and their formation on different surfaces. To enhance understanding of blood behaviour from various sources, the study compares blood samples from three species: human (Homo sapiens), obtained from a professional doctor from discarded piles with precaution from a government hospital in Laxmangarh, Rajasthan and goat (Capra aegagrus hircus), and chicken (Gallus gallus domesticus), obtained from butcher shops in Laxmangarh, Rajasthan. The experimental setup involves dropping blood from a height of 50 centimetre’s and measuring the resulting stain dimensions. This comprehensive approach to BPA research aims to refine crime scene analysis techniques, ultimately contributing to more accurate event reconstructions and enhanced forensic investigations. The study underscores the importance of BPA in modern forensic science while acknowledging the need for its integration with other investigative methods to ensure robust and reliable crime scene interpretations.
Melba Sardi, Herberto Repetto, Patricia Chenlo, Julia Ariagno and Gabriela Mendeluk*
Published on: 19th August, 2024
Introduction: Extracellular Traps (ETs) are fibers composed of chromatin and cytoplasmic proteins, which can trap and kill pathogens by the phenomenon called ETosis. They are released by neutrophils, macrophages, and monocytes, and can be found in semen. The aim of this presentation is to evidence of the indirect effect of SARS-CoV-2 in semen by ETs.Patients and methods: Experimental design: retrospective descriptive observational study.Semen samples from two groups were studied following WHO guidelines: 1) SARS-CoV-2 infected donors (n: 5; at 7, 15, 30, 60, and 90 days after PCR diagnosis); 2) COVID-19 positive patients assisted in our laboratory between 2021 and 2022 (n: 70). They were observed in fresh and in Papanicolaou-stained smears by CASA and light microscopy; the presence of macrophages, spermiophages, ETs and hyperviscosity were recorded while neutrophilic concentration was calculated. Two control groups were designed: a) Patients belonging to group 2, studied before de pandemia (n: 13); b) Culture-negative semen samples (n: 28).Results: In the first group, ETs were observed in all the samples, while only 18% had leucospermia. Macrophages, spermiophages, and hyperviscosity were recorded in 68%, 27%, and 36% of the studied cases respectively.In the second group, ETs were present 100% in the acute phase (< 90 days after diagnosis) and decreased to 71% in the later stage (90 to 270 days). The trapped sperm were non-progressive motile or immotile alive or dead.No traps were found in either control group.Conclusion: In our study ETs were the most sensitive seminal marker of SARS-CoV-2 infection.
Ujash Sheth*, James Lee, Diane Nam and Patrick Henry
Published on: 20th August, 2024
Introduction: There has been growing interest in determining the influence of post-operative immobilization posture and rehabilitation protocol on healing rates and clinical outcomes. Current consensus calls for the use of an immobilization device post-operatively, which commonly comes in the form of a standard sling or an abduction brace with the arm positioned in varying degrees of abduction. There is a lack of high-level evidence in the literature to recommend one type of immobilization device or arm position over another. Objectives: This study aimed to summarize the current clinical and biomechanical evidence for the optimal postoperative positioning and bracing of the arm following arthroscopic rotator cuff repair. Methods: A comprehensive search of the electronic databases EMBASE, MEDLINE, and PubMed was performed using a combination of the following keywords and medical subject heading (MeSH) terms: ‘arthroscopic’, ‘rotator cuff repair’, ‘sling’, ‘brace’ and ‘immobilization’. This systematic review was conducted following the Preferred Reporting for Systematic Reviews and Meta-analysis (PRIMSA) guidelines. Two reviewers performed an independent assessment of the methodological quality of each eligible clinical study using the Methodological Index for Non-Randomized Studies (MINORS).Results: Based on current biomechanical evidence, placement of the arm into an abducted position following rotator cuff repair was found to be favorable. An abduction angle of 30° was associated with lower strain on the repair while maintaining appropriate contact pressure at the footprint. However, the use of an abduction brace did not result in a clinically significant improvement in long-term PROM, ROM, and re-tear rates when compared to a traditional sling in clinical studies.Conclusion: Despite observing favorable outcomes with abduction bracing after rotator cuff repair in biomechanical studies these findings were not reproduced in clinical studies. However, current clinical studies are comprised of small sample sizes, varying tear sizes, and significant heterogeneity in both, the degree of abduction and forearm rotation. Future studies should be directed towards prospectively investigating the effect of immobilization position among patients with similar rotator cuff tear sizes.
Humaira Aslam, Ali Umar, Misbah Ullah Khan*, Shehla Honey, Aman Ullah, Muhammad Ahsan Ashraf, Ghulam Ayesha, Nazia Nusrat, M Jamil, Shahid Khan and Adeel Abid
Published on: 21st August, 2024
The presence of heavy metals (HMs) on Earth is essential to all forms of life. These metals are essential for plant and animal development but can have numerous negative effects on the living environment. In this review, we looked at where HMs come from, why they are harmful, and how they affect plants. Articles indexed in Google Scholar, PubMed, Research Gate, Science Direct, and a few books on heavy metals were consulted for this study. Heavy metals are essential for plant development and growth. According to this analysis, the hazardous effects of HMs are on the rise all throughout the globe, and this trend may be attributed mostly to human activity. Because of its impact on agricultural productivity and environmental changes, soil pollution caused by HMs is among the most crucial elements. Plants have evolved very sophisticated defense systems to deal with these environmental challenges. The threat that HM stress poses to plants has attracted a lot of attention worldwide because it could stunt agriculture’s long-term expansion. In spite of their importance for plants, this study found that HMs pose a significant threat to plant life. The novelty of this review lies in its detailed examination of both the beneficial and detrimental roles of HMs, providing a balanced perspective often overlooked in current literature. The significance of this work is underscored by its potential to inform sustainable agricultural practices and environmental management strategies, as it highlights the delicate balance required to harness the benefits of HMs while mitigating their risks. Despite their necessity for plant development, this review underscores the significant risks HMs pose to plant health and ecosystems.Less than 10 cases have been reported in the literature of the association of germline BRCA1 and Squamous cell Carcinoma – the esophagus. The article focuses on the probable pathogenesis of BRCA1 mutation with non-classic malignancies and the response of Poly adenosine diphosphate ribose polymerase inhibitors (PARP) inhibitors in such a scenario. We report an unusual manifestation of the BRCA1 gene with second primary oesophageal squamous cell cancer occurring five years later to triple-negative breast cancer.
This study presents a comprehensive simulation and analysis of photonic band gaps in one-dimensional (1D) photonic crystals using the open-source software MEEP. Photonic crystals, with their periodic structures, exhibit photonic bandgaps that prevent the propagation of specific wavelengths of light, making them crucial for various optical applications. Unlike previous studies that primarily focused on theoretical and experimental methods, this research introduces a novel computational approach that enhances the accuracy and flexibility of modeling these bandgaps. Through detailed simulations, we explore the impact of different structural parameters on the photonic bandgap properties, providing valuable insights into optimizing these crystals for practical use. Our findings demonstrate significant improvements in the design and understanding of 1D photonic crystals, particularly in tailoring bandgaps for specific applications in optical devices. This work contributes to the advancement of photonic crystal technology by offering a robust framework for their analysis and application.
Andrew K Hillman, Phil Ramis, Patrick Nielsen and Eric M Rohren*
Published on: 26th August, 2024
Purpose of the study: To evaluate the performance of Best Practice Recommendation (BPR) compliance in reporting abdominal aortic aneurysm findings on imaging, comparing the results before and after its deployment.Methods: Best Practice Recommendations for AAA were deployed in 2020 at a large radiology practice site. Reports between January 2018 through October 2022 were reviewed, representing studies read prior to and subsequent to the implementation of the reporting standards. Cases of abdominal aortic aneurysms ≥ 2.6 cm were counted by year. Adherence to the BPR for each year was calculated as [total number of confirmed cases of ≥ 2.6 cm AAAs with compliant reports] * 100 / [the total number of confirmed ≥ 2.6 cm AAAs]. A secondary analysis was performed to determine whether there was a statistically significant difference in the proportion of BPR-compliant reports for AAA cases before (from 2018 to 2019) and after (from 2020 to 2022) BPR deployment using a chi-square test. Results: From January 2018 to December 2022, there were 8,693 reports referencing AAA. After excluding cases of suspected AAA (N = 2,131), confirmed AAAs with indeterminate sizes (N = 103), and confirmed AAAs with sizes < 2.6 cm (N = 85), the number of AAA cases ≥ 2.6 cm in size was 6,374. Concordance with the BPR standards for the remaining cases with sizes ≥ 2.6 cm were 1.6% and 4.1% in 2018 and 2019, respectively. Post-implementation of BPRs, there was a substantial improvement in guideline adherence to 32.1%, 84.3%, and 83.6% in 2020, 2021, and 2022, respectively. In general, the proportion of BPR-compliant reports of AAA cases in the pre-deployment (3.6%) period statistically differs (p - value < 0.0001) from those in the post-deployment period (73.9%)Conclusion: Adherence to reporting standards increased after the BPR deployment in 2020. The inclusion of management recommendations in the radiology report when AAA is identified is a simple and cost-effective way of improving outcomes for patients with AAAs through appropriate follow-up treatment.
Publishing with the International Journal of Clinical and Experimental Ophthalmology was a rewarding experience as review process was thorough and brisk.
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