bluuebunny/crossref_metadata_2025 huggingface dataset:
Fasting in Judo – Between Healthy Weight Control and Health Hazard: A Narrative Review
Authors: Pocecco Elena , Schneider Friedemann , Stavrinou Pinelopi S. , De Crée Carl , Burtscher Johannes
Published: October 2024

Rapid weight loss strategies (including fasting and dehydration) and weight cycling (losing and gaining weight repeatedly) are acknowledged problems in sports with weight categories, including judo. While extreme fasting, especially if combined with dehydration and intense physical activity, may harm health and development, particularly of children and teenagers engaging in judo competitions, there is substantial evidence for positive health effects of other forms of fasting. Here we aim to provide an updated overview on potential health risks associated with extreme dietary strategies in judo and put them in context with health-promoting fasting approaches. We conclude that the literature on long-term health consequences of fasting in judo are scarce. This applies specifically to the potential association with eating disorders. Many reports highlight short-term risks of rapid weight loss, however, vulnerability and protection factors remain poorly understood. Rigorous scientific studies are needed to disentangle the factors that render fasting in judo healthy or hazardous, considering long-term effects both for somatic and mental health. We argue that better understanding of weight management in judo may be used to prevent health risks for athletes and possibly also to propose novel weight management strategies to overweight individuals.
Hybrid Quorum Sensing and Machine Learning Systems for Adaptive Synthetic Biology: Toward Autonomous Gene Regulation and Precision Therapies
Authors: Anh Tuan Dang , Uyen Pham Vu Nhat , Masak Jan
Published: October 2024

Quorum Sensing (QS) and Machine Learning (ML) hybrid systems represent a groundbreaking innovation in synthetic biology, offering unprecedented control and adaptability in microbial gene regulation and metabolic processes. QS, a microbial communication mechanism, is crucial for coordinating gene expression in response to population density, impacting behaviors such as biofilm formation, virulence, and resource optimization. However, traditional QS systems are constrained by their reliance on static, pre-programmed feedback loops, limiting their flexibility in dynamic, complex environments. This review highlights how integrating advanced ML algorithms—such as reinforcement learning and deep learning—into QS systems can overcome these limitations by enabling real-time data processing, predictive modeling, and dynamic feedback control. Through these innovations, QS-ML systems can autonomously adjust gene expression and metabolic outputs, making them more efficient and scalable in applications ranging from pathogen control to precision medicine and industrial biomanufacturing. Key case studies illustrate the successful deployment of QS-ML systems to combat antimicrobial resistance, optimize bio-production, and enhance therapeutic precision in cancer and immune modulation. Despite the clear advantages, challenges remain in data integration, system robustness, and regulatory oversight. Addressing these hurdles through interdisciplinary collaboration and developing scalable, multi-omics data platforms will be critical for advancing QS-ML systems from experimental settings to real-world applications. This review underscores the transformative potential of QS-ML systems in revolutionizing synthetic biology, with profound implications for personalized medicine, sustainable biomanufacturing, and environmental health.
Analysis of the Thermal and Catalytic Pyrolysis Process in the Regions of the Municipality of Belém Based on Socio-economic Classification
Authors: Assunção Fernanda Paula da Costa , Da Silva Jéssica Cristina Conte , Soares Almeida Fernando Felipe , Santos Marcelo Costa , Da Paz Simone Patrícia Aranha , de Castro Douglas Alberto Rocha , Ferreira Jorge Fernando Hungria , Mendonça Neyson Martins , do Nascimento Mel Safira Cruz , Pereira José Almir Rodrigues , Almeida Aline Christian Pimentel , Jr. Sergio Duvoisin , Borges Luiz Eduardo Pizarro , Machado Nélio Teixeira
Published: October 2024

This work aims to evaluate the by-products obtained by thermal and catalytic pyroly-sis of the fraction (organic matter and paper) of municipal solid waste (MSW), in dif-ferent socioeconomic regions, through the yields of reaction products (bio-oil, bio-char, H2O and gas), acid value and chemical composition of bio-oils, and characteriza-tion of biochar, on a laboratory scale. The organic matter and paper segregated from the gravimetric composition of the total waste sample were subjected to drying, crushing and sieving pre-treatment. The experiments were carried out at 450 °C and 1.0 atmosphere, and at 400 °C and 475 °C and 1.0 atmosphere, using 10.0% (by mass) of the basic catalyst Ca(OH)2, in discontinuous mode. The bio-oil was characterized by acidity value and the chemical functions present in the bio-oil identified by FT-IR, NMR and composition by GC-MS. The biochar was characterized by SEM/EDS and XRD. The bio-oil yield increased with the addition of catalyst and the pyrolysis tem-perature. For catalytic pyrolysis, bio-char and gas yields increased slightly with Ca(OH)2 content, while bio-oil and H2O phase remained constant. GC-MS of the liquid reaction products identified the presence of hydrocarbons and oxygenates, as well as nitrogen-containing compounds, including amides and amines. The acidity of the bio-oil decreased with the addition of the basic catalyst in the process. The concentration of hydrocarbons in the bio-oil appeared with the addition of the catalyst in the catalyt-ic pyrolysis process as catalytic deoxygenation of fatty acid molecules occurs, through decarboxylation/decarbonylation, producing aliphatic and aromatic hydrocarbons, in-troducing the basic catalyst into the thermal process.
A New One Parameter Unit Distribution: Median Based Unit Rayleigh (Mbur): Parametric Quantile Regression Model
Authors: Attia Iman
Published: October 2024

Parametric quantile regression is illustrated for the one parameter new unit Rayleigh distribution called Median Based Unit Rayleigh distribution (MBUR) distribution. The estimation process using re-parameterized maximum likelihood function is highlighted with real dataset example. The inference and goodness of fit is also explored.
Mathematical Modeling for Submersible Safety: Location Prediction and Emergency Procedures
Authors: Lu Junliang , Zhang Zonghao , Xiao Kangqi , Pang Yuxiang
Published: October 2024

This paper presents a comprehensive approach to enhancing submersible safety through mathematical modeling and decision-making frameworks. We develop models for submersible location prediction, emergency preparedness, and scenario extrapolation, including a Seawater Density Model, Submersible Mechanical Model, Bayesian Searching Model, and Extended Kalman Filter. Sensitivity analysis confirms the robustness of these models under varying conditions, making them adaptable for different marine environments.In the first section, we focus on accurately locating a submersible after communication loss. The Seawater Density Model employs a hyperbolic tangent function to model depth-dependent density in the Ionian Sea, while the Submersible Mechanical Model simulates underwater dynamics using the 4th order Runge-Kutta method. Uncertainties are addressed using an Extended Kalman Filter, enhancing accuracy, as shown by trajectory and Mean Squared Error (MSE) comparisons.In the second section, we develop a Bayesian Searching Model to efficiently locate a missing submersible. This model iteratively updates location probabilities using a bimodal Gaussian distribution. The search zone is discretized into grids, and simulations demonstrate the model's ability to effectively narrow down the search area and improve detection success.In the third section, we adapt the models to different environments, such as the Caribbean Sea. A warning and obstacle avoidance system is introduced to manage multiple submersibles in close proximity, dynamically adjusting their paths to avoid collisions.Reliability analysis demonstrates the robustness of the models against changes in density and sudden environmental shifts, showing minimal deviation from neutral buoyancy. These results confirm the reliability and adaptability of the models for enhancing submersible safety across various marine settings.
Unveiling Lithium’s Preference to the Brain: Insights from Its Mechanism of Action
Authors: Arraf Zaher
Published: October 2024

Lithium has long been recognized for its therapeutic efficacy in the treatment of manic-depressive illness (MDI). Additionally, numerous reports highlight its protective properties against cell insults, with a remarkable majority of these effects documented in neurons. Utilizing the major mechanisms of its action, we bring insights that explain lithium's ability to preferentially promote survival in neurons. Specifically, we explore its interactions with magnesium at protein binding sites, with a particular focus on its impact on glycogen synthase kinase 3 beta (GSK3β). We propose that lower intracellular free magnesium levels in the brain, coupled with the higher expression of GSK3β, which is an enzyme whose activity is magnesium-dependent, amplify its impact on brain cells, promoting neuronal survival.
Environmental Stress and Small Heat Shock Proteins in Selected Animals: A Comprehensive Review of Literature
Authors: Bwambale Jamada , Aisu Justus , Mugwanya Muziri
Published: October 2024

Insects, nematodes, and aquatic animals face several biotic and abiotic stressors that can significantly affect their fitness – specifically damaging their cellular proteins' competent functional nature. In response, they have evolved sophisticated stress-responsive mechanisms. Certain endogenous proteins, known as small heat shock proteins (sHSPs), serve to maintain the stability and function of proteins under stress. Since the identification of the first sHSPs, an increasing number of sHSPs, mainly due to the new robust sequencing tools, continue to be identified and reported to play a critical role in the organism’s response to stress. This review explores and summarizes the contributions of the sHSPs implicated in stress response. Understanding their function is crucial for advancing our knowledge in agricultural pest management, climate change adaptation, and biotechnology.
Methane Emissions in the ESG Framework at the World Level
Authors: Costantiello Alberto , Laureti Lucio , Quarto Angelo , Leogrande Angelo , Magazzino Cosimo
Published: October 2024

This article affords the question of methane emissions in the context of the ESG framework at the global level. The World Bank ESG-Environmental, Social, and Governance database was used. The data refers to 193 countries for a period between 2011 and 2020. The econometric models used are Panel Data with Random Effects, Panel Data with Fixed Effects, Pooled Ordinary Least Squares-OLS, and Weighted Least Squares-WLS. The impact of methane on the ESG model was calculated through three equations capable of analyzing the impact of methane emissions, respectively, con-cerning the E-Environmental, S-Social, and G-Governance components of the ESG model. The re-sults show that methane emissions tend to increase even in the improvement of ESG conditions at world level.
How A New Type of R_h = ct Cosmological Model Outperforms the Λ-CDM Model in Numerous Categories and Resolves the Hubble Tension
Authors: Haug Espen Gaarder , Tatum Eugene Terry
Published: October 2024

This paper provides a brief overview of how the Haug and Tatum Cosmological Model (HTC) outperforms the Λ-CDM model in numerous categories. In particular, we show why the HTC model is a strong competitor to the Λ-CDM model. For example, HTC appears to resolve the Hubble tension by making use of newly-discovered fundamental relationships between the CMB temperature, the Hubble parameter, and cosmological redshift. Moreover, HTC appears to better explain certain early universe telescopic observations than the Λ-CDM model.
Fractals as Pre-training Datasets for Anomaly Detection and Localization
Authors: Ugwu Cynthia I. , Caruso Emanuele , Lanz Oswald
Published: October 2024

Anomaly detection is crucial in large-scale industrial manufacturing as it helps detect and localise defective parts. Pre-training feature extractors on large-scale datasets is a popular approach for this task. Stringent data security, privacy regulations, high costs and acquisition time hinder the development of large-scale datasets for training and benchmarking. Despite recent work focusing primarily on the development of new anomaly detection methods based on such extractors, not much attention has been paid to the importance of the data used for pre-training. This study compares representative models pre-trained with fractal images against those pre-trained with ImageNet, without subsequent task-specific fine-tuning. We evaluated the performance of eleven state-of-the-art methods on MVTecAD, MVTec LOCO AD, and VisA, well-known benchmark datasets inspired by real-world industrial inspection scenarios. Further, we propose a novel method to create a dataset by combining the dynamically generated fractal images creating a ``Multi-Formula'' dataset. Even though pre-training with ImageNet leads to better results, fractals can achieve close performance to ImageNet under proper parametrisation. This opens up the possibility for a new research direction where feature extractors could be trained on synthetically generated abstract datasets mitigating the ever-increasing demand for data in machine learning while circumventing privacy and security concerns.
Efficiency of IoT Adoption and Supply Chain Optimization: An Empirical Evidence from Nigeria
Authors: Ezekwueme Augustine Elozana , Abel Chidera Emmanuel , Dike Gloria Adaku
Published: October 2024

The rapid expansion of the Internet of Things (IoT) is revolutionising industries by enhancing connectivity among people, systems, and objects. With IoT device numbers predicted to rise from 9.7 billion in 2020 to 29 billion by 2030, its integration into supply chain management is increasingly critical, improving transparency, efficiency, and decision-making. This study focuses on evaluating the impact of IoT on supply chain efficiency within five Nigerian companies, a region where IoT's potential remains largely untapped due to infrastructural and technological challenges.Methods: The research employed a quantitative methodology, with purposive sampling used to select 50 participants across the 5 selected companies, ensuring a comprehensive assessment of IoT's influence across diverse sectors. A structured questionnaire was administered online to 10 senior managers from each selected company, collecting data on IoT adoption levels, applications, and impacts on supply chain performance. Data analysis was conducted using IBM SPSS version 27, employing descriptive analysis and regression and correlation tests to examine the relationship between IoT adoption and supply chain metrics.Results: The analysis revealed a significant adoption rate of 74.4% across the companies, with notable enhancements in supply chain metrics. Specifically, a negative correlation coefficient of -0.345 was observed between IoT adoption and lead time, although this was not statistically significant (p=0.053). Inventory turnover showed marked improvement, with 60% of companies reporting increased efficiency in inventory management. Order accuracy saw substantial improvements, with 17 out of 43 respondents (39.5%) rating it as significantly enhanced. Despite these positive trends, challenges such as inadequate infrastructure and high implementation costs were significant barriers, affecting the full realization of IoT benefits.Conclusion and Recommendations: The study concludes that while IoT adoption shows promise in enhancing supply chain operations in Nigeria, the benefits are unevenly realized, largely influenced by existing infrastructural deficits and high initial costs. Recommendations include enhancing digital infrastructure, developing supportive regulatory frameworks, and implementing pilot projects to better integrate IoT solutions tailored to specific operational needs. Investing in local expertise and fostering public-private partnerships are also critical for overcoming barriers to IoT adoption and leveraging its full potential for supply chain enhancement in Nigeria.
Effects of the Position and Size of the Air Injection Holes in the Flow Structure of a Trapped Vortex Combustor
Authors: Moreno Pacheco Luis Alfonso , Barbosa Saldaña Juan Gabriel , López Jarquín Edgar Geovany , Martínez-Trinidad José , García León Ricardo Andrés , Toledo-Velázquez Miguel
Published: October 2024

The efficiency and the flame stabilization are two of the main parameters in the design of combustors according to the current policies imposed to the commercial aircraft industry. An alternative for flame stabilization and high efficiency in the combustion process in combustors is the concept of trapped vortex combustor (TVC). The objective of this study is to determine the optimal location and size of the injection holes for the airflow supplied to a TVC by means of a numerical simulation for non-reactive flow. The results showed a two vortex flow structures in the cavity that change their size and intensity according to the allocation and size of the injection holes. The total pressure lost, flow stability, velocity distribution, vortex size and intensity were the parameters for evaluating the different configurations. The optimal behavior was for a set of air injection holes at the top fore wall of the cavity in combination with a second set located at the bottom of the after wall.
Evaluation of Expanded Clay and Tuff as Lightweight Agents in Concrete Stabilized with Nopal Mucilage and Aloe vera
Authors: Mendoza-Goden Daniel , Gallegos-Villela Rocio Rafaela , Flores-Becerra Pedro , Perez-Sanchez Josue Francisco , Suarez-Dominguez Edgardo Jonathan , Palacio-Perez Arturo
Published: October 2024

Lightweight concrete is a promising alternative in modern construction due to its reduced weight and potential to improve thermal and structural efficiency. Incorporating sustainable materials, such as nopal mucilage and aloe vera, can optimize its properties, promoting more eco-friendly practices in the industry. This study evaluates six concrete mixtures using different dosages of tuff, expanded clay, nopal mucilage, and aloe vera. Physical and mechanical tests were conducted, and the results revealed varied behaviors: mixtures with aloe vera showed extremes in water absorption and consistency, with tuff being very fluid and expanded clay having good workability. Mixtures with nopal mucilage were drier and less workable. In contrast, mixtures with expanded clay showed higher bulk density and variations in consistency and water absorption. Compressive strength varied depending on the lightweight agents used: mixtures with nopal mucilage-expanded clay and aloe vera-expanded clay showed moderate strengths, suggesting that these combinations can improve the strength of lightweight concrete. The different lightweight agents also affected the thermal and physical properties and the fractal dimension of the mixtures, indicating a greater structural complexity and better heat retention in combinations of expanded clay with nopal mucilage or aloe vera.
Compliance Behavior in Environmental Tax Policy
Authors: Hakam Suci Lestari , Rahayu Agus , Wibowo Lili Adi , Hakam Lazuardi Imani , Nugroho Muhamad Adhi , Fuadi Siti Sarah
Published: October 2024

This study examines compliance behaviour in the context of environmental tax policies, highlighting the essential role that these policies play in achieving the objectives of sustainable development. Environmental taxes are crucial instruments to reduce environmental damage and increase energy efficiency. Nevertheless, taxpayer compliance, which is impacted by several variables, including social acceptability, regulatory quality, and perceptions of fairness, is a key component of these policiesʹ efficacy. In contrast to earlier research, which frequently concentrated on certain tax kinds or discrete policy mechanisms, this study takes a broad approach, looking at a range of environmental taxation instruments. Emerging trends, significant factors influencing compliance behaviour, and noteworthy contributions from eminent authors and organizations are all identified by means of bibliometric and scientometric analyses. In order to create fair and effective environmental tax policies, interdisciplinary approaches and international collaboration must be used. Along with presenting policies to improve environmental regulation compliance, the study offers insightful advice for businesses that can help them innovate toward sustainability and adjust to shifting policy. It also provides a solid theoretical base for future researchers by highlighting important areas that require more investigation, especially when it comes to the wider effects of environmental taxes on various industries.
Virtual Reality Neurofeedback Training combined with Trauma-Informed Motivational Interviewing for the Treatment of Post-Traumatic Stress Disorder
Authors: Triscari Sergio , Casu Mirko , Uccelli Eleonora , Vitale Noemi Maria , Rapisarda Venerando , Fakhrou Abdulnaser , Caponnetto Pasquale
Published: October 2024

Background: Neurofeedback (NFB) or EEG-Biofeedback is a non-invasive therapeutic method, based on the theory of operating conditioning, and designed to change the functioning of the brain by sending feedback that provides positive or negative reinforcement. The goal is to teach the patient how to perceive specific cortical activation states and how to achieve them on purpose. NFB has been used to treat various mental disorders, including Post-traumatic Stress Disorder (PTSD). Traditional treatments for PTSD have several limitations; very few individuals are willing to relive the traumatic experience. Placing itself as an effective alternative, Neurofeedback allows the unresponsive patient to recourse to an alternative intervention to relieve their symptoms without reliving the anguish of trauma, consequently presuming a lower percentage of drop-out. Considering the importance of integrated approaches to clinical practice, NFB was integrated with Trauma-Informed Motivational Interviewing (TIMI). The TIMI approach is a new therapeutic paradigm for clinical interviews that aims to help users work through their trauma and transform it from a point of weakness to a point of strength. Integrating TIMI with NFB can help overcome the current trend of passive implementation of intervention tools, leading to greater user responsiveness and fewer residual symptoms. To improve treatment adherence, moreover, it has been suggested to incorporate Virtual Reality (VR) into the NFB system. VR, through the "sense of presence," provides a more immersive experience than 2D visualization, potentially resulting in faster cortical training. Lastly, the research protocol aims to focus on a population at high risk of PTSD that is often overlooked in research, such as workers who are victims of occupational PTSD.Methods: The study design involves in-depth analysis of a specific clinical case. Baseline measurements were taken for enrollment and at the following time points: T1 (pre-treatment), T2 (post-treatment), and T3 (follow-up). These measurements included various psychometric assessments to evaluate PTSD symptoms, treatment acceptability, safety, and adherence, as well as biological measures related to the brain's electrophysiological activity.Results and Conclusion: Our research reveals that the synergy between virtual reality-mediated Neurofeedback and trauma-motivational interviewing produces significant results. TIMINB stands out as a low-cost, effective, and completely risk-free procedure. This approach could represent a groundbreaking innovation in the field of Cyberpsychology and psychological therapies.
Study on Transport and Temperature Characteristics of β-Ga2O3 Based Diode Controlled by Varying Anode Work Function
Authors: He Yunlong , Sheng Baisong , Lu Xiaoli , Chen Guran , Liu Peng , Zhou Ying , Wang Xichen , Chen Weiwei , Wang Lei , Yang Jun , Zheng Xuefeng , Ma Xiaohua , Hao Yue
Published: October 2024

This study systematically investigates the effects of different anode work function metals (Ti/Au and Ni/Au) on the transport and temperature characteristics of β-Ga2O3 based Schottky barrier diodes (SBD), junction barrier Schottky diodes (JBSD), and P-N diodes (PND), utilizing Sentaurus TCAD simulation software for mechanistic analysis. From the perspective of transport characteristics, it is observed that the SBD exhibits a lower turn-on voltage and a higher current density. Notably, the turn-on voltage (Von) of the Ti/Au anode SBD is merely 0.2 V, marking the lowest recorded value in the existing literature. Furthermore, our study reveals that the turn-on voltages of the two types of PNDs are nearly identical, confirming that the contact between the anode metals and NiOx is ohmic contact, and the contact between Ni/Au and NiOx exhibits a lower contact resistance. The Von, current density, and variation rate of the JBSD lie between those of the SBD and PND. In terms of temperature characteristics, all diodes can work at 200 °C, with both current density and Von showing a decreasing trend as the temperature increases. Among them, the PND with a Ni/Au anode exhibits the best thermal stability, with reductions in Von and current density of 8.20% and 25.31%, respectively, while the SBD with a Ti/Au anode shows the poorest performance, with reductions of 98.56% and 30.97%. Finally, the reverse breakdown (BV) characteristics of all six devices are tested. The average BV for the PND with Ti/Au and Ni/Au anodes reach 1575 V and 1550 V, respectively. Moreover, although the Von of the JBSD decreases to 0.24 V, its average BV is approximately 220 V. This study demonstrates that β-Ga2O3 based power diodes continue to exhibit excellent characteristics and application prospects in terms of low turn-on voltage.
Climate Change and Potential of Agroforestry in Uganda: Youth Perceptions and Willingness to Participate in Adaptation and Transition Efforts
Authors: Bamwesigye Dastan , Yeboah Evans , Ozbalci Seval , Fialova Jitka , Kupec Petr , Verter Nahanga , Asamoah Obed
Published: October 2024

Climate change remains a pressing global issue affecting sectors including agriculture and forest resources in countries such as Uganda. This research focused on exploring the viewpoints of youth in Uganda concerning adapting to climate change and their interest in getting involved in agroforestry transition. By conducting a survey involving 1138 participants from the youth demographic group aimed to gather information about their level of hopefulness towards climate adaptation efforts and how they perceive the impact of farming practices and deforestation. Furthermore, the study aimed to evaluate youth willingness to participate in agroforestry (WTP) initiatives. The study used descriptive statistics as well as Ordinary Least Squares (OLS) to analyze the collected data. We found that most participants are climate change hopeful about adapting to climate change (89%). This positive and highly significant outlook is closely related to their willingness to participate in agroforestry adaptation efforts (0.0001).
Moreover, a high percentage of participants (92%) acknowledged how farming practices such as cultivation and livestock rearing can degrade land significantly. Whereas Gender, Age and Employment were found to be highly and positively significant regarding youth’s WTP in agroforestry (0.0001), Income was not. Incorporating indigenous practices and encouraging meaningful involvement from policymakers can empower the youth and strengthen community-led initiatives to address environmental decline effectively. This research highlights the capacity of youth engagement in steering successful climate resilience measures via agroforestry practices in Uganda.
Long-Term Reassurance with Negative High-Risk Human Papillomavirus (HR-HPV) and Clear Margins After Large Loop Excision of the Transformation Zone (Lletz)
Authors: Heydari Fatima , de Sanjosé Silvia , Peñafiel Muñoz Judith , Fernández-Montolí and Maria-Eulalia
Published: October 2024

Background/Objective: Women treated with large loop excision of the transformation zone (LLETZ) for cervical intraepithelial neoplasia 2-3 (CIN2+) remain at CIN2+ risk for many years. We assessed the role of high-risk human papillomavirus (HR-HPV), surgical margins, and LLETZ characteristics in long-term risk of CIN2+. Methods: A retrospective observational study was performed on 432 women with histological diagnosis of CIN2+ who were treated with LLETZ from 1996 to 2020 and followed-up until October 2021 at Hospital Bellvitge in Barcelona, Spain. Age, surgical margins, 6-month HR-HPV, excision type, and cone volume/dimensions were ana-lyzed in association with follow-up detection of CIN2+. The cumulative probability of follow-up detection of CIN2+ was calculated by Kaplan-Meier and Cox models. Results: CIN2+ was detected in 7.4% of cases, with over 90% found within 5 years post-LLETZ. HR-HPV (HR = 7.36, 95% CI = 3.55-15.26), involved margins (HR = 3.94, 95% CI = 1.68-9.25), uncertain margins (HR = 4.42, 95% CI = 1.55-12.55), and age ≥ 35 years (HR = 2.92, 95% CI = 1.19-7.13) were predictors of follow-up detection of CIN2+. Type 3 excision (p-value = 0.035) and cone length (p-value = 0.010) correlated with clear margins. The negative predictive value (NPV) of both negative HR-HPV post-LLETZ and clear margins was 98.7%. Conclusions: Negative HR-HPV post-LLETZ and clear margins provide stronger reassurance against follow-up detection of CIN2+ than LLETZ characteristics. Larger ex-cisions in older women likely reduced the risk of involved margins. Close surveillance, including repeated HR-HPV testing within the first 5 years post-LLETZ, is crucial.
A Qualitative Study on The Reduction of Dwell Time Exceeding 200 Days
Authors: Rahman Abdul
Published: October 2024

This qualitative study investigates why dwell times, defined as the period between the emergence and detection of a cybersecurity threat, exceed 200 days. By uncovering these insights, U.S. InfoSec professionals can develop strategies to shorten dwell times and mitigate the costs associated with security breaches. The overarching issue is the escalating costs of U.S. cybersecurity breaches, which surged by 10% annually, surpassing $9.48 million per breach in 2023. The duration of dwell time, notably exceeding 200 days, is identified as a critical factor contributing to these costs yet remains poorly understood. This study employed a generic qualitative inquiry (GQI) methodology to explore perceptions surrounding dwell time and its impact on an organization's cybersecurity posture. appraisals, making it pertinent to understanding and addressing cybersecurity breach dwell time. Through interviews with ten seasoned U.S. InfoSec professionals, this study sheds light on their perspectives regarding the duration between threat deployment and detection. The findings highlighted the importance of proactive measures and timely detection in mitigating cybersecurity risks and enhancing organizational resilience against malicious cyber-attacks.
Challenges in Housing Accessibility towards Universal Design
Authors: González-Alonso María Yolanda , González-Lozano Beatriz
Published: October 2024

Housing is the most regulated type of building. Standards significantly influence the design and construction quality, often making universal design more expensive and challenging to implement. This study aims to review current Spanish regulations on accessibility in the housing sector, to promote non-discriminatory and independent access, while ensuring the safety of each resident. The research is exploratory and qualitative, involving a systematic bibliographic review through an exhaustive search of regulations in force until December 2023. In Spain, there are three laws (from 1999, 1960 and 2022), three decrees (from 2006, 2013 and 2015) and a national plan from the regulatory framework. The main regulation, the Technical Building Code, outlines the accessibility, safety and habitability requirements that buildings must adhere to. The most recent is Law 6/2022 on Cognitive Accessibility. Spain has robust legislation with innovative approaches and ambitious goals. However, there is a lack of societal awareness that housing is a fundamental right and that the regulations must be upheld. Several proposals for improvement have been made. These suggested changes address the specific challenges of each region and promote more inclusive and adaptable projects for all people from the early stages of design.
Revisiting the Potential Role of Urine in Wastewater Surveillance: COVID-19 and Beyond
Authors: Bivins Aaron
Published: October 2024

Clinical microbiology studies and systematic reviews have largely concluded that SARS-CoV-2 RNA is rarely present in the urine of COVID-19 patients. Thus, wastewater surveillance has largely focused on human stool and defecation as the relevant matrix and behavior. But, the over-performance of wastewater testing during near-source surveillance, especially in settings where on-site defecation is presumed to be de minimis such as aircraft and non-residential schools, suggests the possibility of SARS-CoV-2 RNA input from a non-fecal source. To revisit the possibility of urine as an explanation, data was compiled from 45 studies reporting on SARS-CoV-2 RNA in the urine of 1,924 COVID-19 patients. In general, the reporting quality was low with most studies (86.7%) failing to report even basic details such as the volume of urine collected. Only 11 reported quantitative data and of these only a single study reported its experiments to the standards established for publication of quantitative PCR data. Taking the data at its face value, the pooled prevalence of urinary SARS-CoV-2 RNA shedding was 11.3% (95%CI: 8.4 - 14.3), which roughly agrees with previous analyses. However, the percentage of variability in the estimate attributable to heterogeneity between studies (I2 = 93.66%) warrants careful consideration. Notably, for the 8 studies reporting sufficient workflow information, the observed urinary RNA shedding prevalence was normally distributed (r2 = 1.00) as a function of the volume of urine being assayed in a single PCR reaction (i.e., the equivalent sample volume, ESV). The study achieving the highest ESV (83.3 µL of urine) detected SARS-CoV-2 RNA in urine sediments of 95.5% of COVID-19 patients. Conversely, during two studies achieving ESVs of only 2 µL and 11.7 µL of urine, SARS-CoV-2 RNA was not detected in the urine of 72 and 132 patients, respectively. For wastewater surveillance of COVID-19, these observations suggest the rarity of SARS-CoV-2 RNA in urine may be a methodological artifact. Further, the data on which rarity is presumed are of low quality. Beyond COVID-19, the findings demonstrate that clinical studies, by virtue of their design to answer clinically relevant questions, could produce datasets subject to large biases that make them less useful when assessing the feasibility of wastewater surveillance of infectious agents. Wastewater surveillance practitioners must carefully consider the appropriateness and limitations of clinical data considering the important differences between the methods and aims of the two disciplines. Given the great potential of wastewater testing, clinical and environmental microbiologist should collaborate to produce robust quantitative datasets for reliable feasibility assessments for both community and near-source public health surveillance.
Topic Analysis of the Literature Reveals Research Trends: The Case of Periodontics
Authors: Galli Carlo , Colangelo Maria Teresa , Meleti Marco , Guizzardi Stefano , Calciolari Elena
Published: October 2024

Periodontics is a complex field characterized by a constantly growing body of research, posing a challenge for researchers and stakeholders striving to stay abreast of its evolving literature. Tradi-tional bibliometric surveys, while accurate, are labor-intensive and not scalable to meet the demands of such rapidly expanding domains. The aim of this study was to explore the uses of a top-ic-modeling algorithm to investigate the structure of the periodontics research field. To this purpose, we employed BERTopic to automatically sift through a substantial corpus of periodontics manu-scripts published in MEDLINE from 2009 to 2024 and identify topics using two sets of settings, to get a broader and high detailed view of the field, respectively. BERTopic identified and categorized 31 topics, unveiling the internal structure and the relations between publication macroareas. When we used the high granularity settings, we identified 2428 topics, which revealed hotspots within the field. Specific regression highlighted novel research areas such as artificial intelligence and exo-somes. In conclusion, BERTopic offers a flexible tool to provide insights into periodontics, its most recent trends, and serve as a useful instrument to approach the field and direct future research.
Prolonged Photobiomodulation with Near-Infrared Light mitigates incipient retinal deterioration in a Mouse Model of Type 2 Diabetes
Authors: Opazo Gabriela , Tapia Felipe , Díaz Alejandra , Vielma Alex H. , Schmachtenberg Oliver
Published: October 2024

Diabetic retinopathy is a prevalent complication of type 2 diabetes mellitus, characterized by progressive damage to retinal structure and function. Photobiomodulation therapy, using near-infrared light, has been proposed as a non-invasive intervention to mitigate retinal damage, but has been tested generally with short-term stimuli. This study aimed to evaluate the effects of prolonged photobiomodulation on retinal structure and function in a type 2 diabetes mouse model. Transgenic LepRdb/J (db/db) mice and their heterozygous controls were exposed to photobiomodulation therapy via LED devices emitting 654 nm light for 12 hours daily over ten weeks. Retinal function was evaluated by flash electro-retinography, while structural changes were assessed through histology and immuno-histochemistry to detect astro- and microgliosis. At 33 weeks of age, db/db mice were obese and severely diabetic, but exhibited only incipient indicators of retinal deterioration. Electroretinogram b-wave peak latencies were prolonged at intermediate flash intensities, while the outer plexiform layer displayed significantly elevated IBA1 expression. Photo-biomodulation therapy prevented these two markers of early retinal deterioration, but had no effect on other morphological and functional parameters. Photobiomodulation is well-tolerated and maintains potential as a complementary treatment option for diabetic retinopathy, but requires further optimization of therapeutic settings and combinatory treatment approaches.
Early Sagittal Shape of the Spine Predicts Scoliosis Development in a Syndromic (22q11.2DS) Population
Authors: de Reuver Steven , Homans Jelle F. , Houben Michiel L. , Schlösser Tom P.C. , Ito Keita , Kruyt Moyo C. , Castelein René M.
Published: October 2024

Background:

Scoliosis is a deformation of the spine and trunk that, in its more severe forms, creates a life-long burden of disease and requires intensive treatment. For its most prevalent form, adolescent idiopathic scoliosis, no underlying condition can be defined, and the pathomechanism appears to be multifactorial; however, it has been suggested that the biomechanics of the spine play a role. For nonidiopathic scoliosis, underlying conditions can be recognized, but what drives the deformity remains unclear. In this study, we examined the early sagittal shape of the spine before the onset of scoliosis in a population with 22q11.2 deletion syndrome (22q11.2DS). This cohort was chosen since children with this syndrome have an approximately 50% chance of developing scoliosis that shares certain characteristics with idiopathic scoliosis, namely, age of onset, curve morphology, and rate of progression.

Methods:

This prospective cohort study included patients with 22q11.2DS who were followed with the use of spinal radiographs during adolescent growth. All of the children, who initially had no scoliosis while still skeletally immature (Risser stages 0 and 1), were followed at 2-year intervals until they reached skeletal maturity (Risser stages 3 to 5). We assessed the segment of the spine that has previously been shown to be rotationally unstable, the posteriorly inclined segment, to determine if it was predictive of later scoliosis development. For quantification, the area of the “posteriorly inclined triangle” (PIT), a previously described parameter that integrates both the inclination and length of the at-risk segment, was measured.

Results:

Of the 50 children who initially had no scoliosis (mean age at inclusion, 10.7 ± 1.7 years; mean follow-up, 4.8 ± 1.6 years), 24 (48%) developed scoliosis. Patients with an above-average PIT area (>60 cm2) at inclusion showed a relative risk of 2.55 for scoliosis development (95% confidence interval [CI]:1.22 to 5.34). PIT inclination was correlated with curve type: a taller and steeper hypotenuse predicted later thoracic scoliosis, while a shorter and less steep inclination predicted the development of (thoraco)lumbar scoliosis.

Conclusions:

This prospective study identified the pre-scoliotic sagittal shape of the spine as a risk factor for the later development of scoliosis in the population of children with 22q11.2DS.

Level of Evidence:

Prognostic Level II. See Instructions for Authors for a complete description of levels of evidence.
Assessing Nurses' Knowledge on Medication to Reduce Errors in Iraq
Authors: Ali Wasfi Dhahir Abid , Hashoosh Dhuha Radhi , Mishet Husain Sameer , Sabri Samahir Hameed , Atiyah Maher A.
Published: October 2024

General background: Administering and preparing medications are fundamental aspects of nursing practice that significantly influence patient outcomes. Specific background: Medication errors during preparation or administration can lead to adverse effects, and assessing nurses' knowledge in this area is crucial for improving patient safety. Knowledge gap: Limited studies have examined the specific knowledge of nurses in Iraq, particularly in Basra hospitals, regarding these practices. Aims: This study aims to assess the knowledge of nurses in Basra Governorate hospitals concerning medication preparation and administration, identifying areas for improvement to enhance patient care. Results: The study surveyed 70 nurses (55.71% female and 44.28% male), with 47.1% holding a BSc in nursing sciences, 28.57% with a diploma, and 24.28% from secondary nursing schools. Regarding experience, 31.42% had less than one year, and 30% had 1-5 years of experience. Participants worked across emergency, internal medicine, surgery, and other departments. Nurses demonstrated a significant mean score of 1.84 in knowledge regarding drug preparation practices and a score of 1.74 in knowledge regarding drug administration, both indicating satisfactory understanding but with variability across departments. Novelty: This study provides specific data on nurses' knowledge in Basra hospitals, a region that has not been extensively studied in the context of medication management errors. Implications: These findings suggest that while nurses possess adequate knowledge of drug preparation and administration, continued education and training, especially for less experienced nurses, may further enhance patient safety. The study highlights the need for targeted interventions in Basra to address gaps in clinical practice and reduce medication errors.
Highlights:
 

Medication errors directly affect patient outcomes and treatment effectiveness.
Nurses’ knowledge varies by experience and department in Basra hospitals.
Continuous training improves medication safety and patient care quality.

 
Keywords: Nursing knowledge, medication errors, drug preparation, drug administration, Basra hospitals.
Rising Cases of Hb H Disease in Iraq Highlight the Urgent Need for Pre-Pregnancy Screening
Authors: Zaidi Afak Rasheed Salman
Published: October 2024

General background: Hemoglobin H (Hb H) disease results from mutations in three of the four α-globin genes, leading to α-thalassemia. Specific background: In Iraq, this condition is rare among alpha-thalassemia cases. The disease presents significant hematological abnormalities, impacting quality of life. Knowledge gap: Despite its rarity, few studies have characterized the hematopathological features and prevalence of Hb H disease in specific Iraqi regions. Aims: This study aimed to assess the hematological parameters and prevalence of Hb H disease among patients in Diyala province, Iraq. Results: A total of 81 patients with Hb H disease (53.18% male, 46.91% female) were registered at the Baqubah Teaching Hospital in 2023. Median patient age was 21.8 years (range 4-48). Hematological analysis revealed consistently low levels of hemoglobin (Hb) and hematocrit (HCT) compared to standard values. Mean corpuscular volume (MCV) was also significantly reduced, with 58.02% of patients presenting Hb levels below 10 g/dL. The 21-40 age group had the highest incidence (46.91%). Novelty: This study is among the few to investigate Hb H disease prevalence and hematopathological characteristics in Diyala province, revealing an unexpectedly high incidence in the 21-40 age group. Implications: These findings suggest that hematological parameters, including MCV and Hb levels, should be considered in thalassemia screening programs, particularly in pre-pregnancy assessments, to prevent the birth of children with severe forms of alpha-thalassemia and reduce Hb H disease prevalence.
Highlights:
 

Hb H disease shows low hemoglobin and MCV abnormalities.
Highest incidence occurs in patients aged 21-40 years.
Pre-pregnancy screening reduces severe alpha-thalassemia risk.

 
Keywords: Hb H disease, alpha-thalassemia, hematological parameters, Diyala province, prevalence