bluuebunny/crossref_metadata_2025 huggingface dataset:
OnabotulinumtoxinA is now an important tool for managing pediatric neurogenic lower urinary tract dysfunction
Authors: Frainey Brendan T. , Clayton Douglass B.
Published: June 2024

Initial urologic management of pediatric neurogenic lower urinary tract dysfunction (NLUTD) includes clean intermittent catheterization (CIC) regimen and use of anticholinergic or beta3 agonist medications. Historically, NLUTD that did not respond to these initial management strategies received open surgical procedures such as augmentation cystoplasty (AC) to increase bladder capacity and create a lower-pressure reservoir. Since its first reported use in 2002, intradetrusor onabotulinumtoxinA (BTX-A) injections has developed an emerging role in management of pediatric NLUTD, culminating in its recent FDA-approval in 2021. In this review, the current evidence regarding the safety, tolerability, and efficacy of BTX-A use in pediatric NLUTD will be summarized. Additionally, we will attempt to define the current role of BTX-A in the management of patients with NLUTD, discuss limitations to the current body of literature, and suggest future avenues of study.
Omalizumab in combination with subcutaneous immunotherapy for the treatment of multiple allergies associated with attention-deficit/hyperactivity disorder: a case report and a literature review
Authors: Ding Bo , Lu Yanming
Published: June 2024

We describe the case of a 10-year-old boy with asthma (AS), accompanied by allergic rhinitis (AR), food allergy (FA), and combined attention-deficit/hyperactivity disorder (ADHD), who was treated at Shanghai Renji Hospital on 11 July 2020. The efficiency of the previous treatment with salmeterol/ticlosone was poor. Treatment with montelukast sodium resulted in development of neurological symptoms. Treatment with omalizumab in combination with subcutaneous immunotherapy (SCIT) was then initiated in our department based on anti-asthmatic therapy. Symptoms of asthma were completely controlled, and FA and AR symptoms improved. The treatment regimen led to a significant improvement in ADHD symptoms and the overall quality of life of the patient. The literature search was done in the PubMed database using “attention deficit/hyperactivity disorder/ADHD” and “asthma” as keywords, and we identified 47 relevant articles. In conclusion, our results show that treating asthma with omalizumab in combination with salmeterol/ticlosone and SCIT is efficient in controlling symptoms of multiple allergies and may lead to the improvement in ADHD symptoms and the overall quality of life of pediatric patients with ADHD. While current studies suggest that allergic diseases are closely related to ADHD, there is still a lack of studies or case reports of complete treatment protocols to provide clinical clues for management of the disease.
Adverse events in different administration routes of semaglutide: a pharmacovigilance study based on the FDA adverse event reporting system
Authors: Niu Kaibin , Fan Maoxia , Gao Wulin , Chen Chen , Dai Guohua
Published: June 2024

Background

With the continuously increasing incidence of type 2 diabetes, glucagon-like peptide-1 (GLP-1) receptor agonists, known for their dual benefits of effectively controlling blood glucose levels while also reducing weight and lowering cardiovascular disease risks, have been widely employed in the treatment of this condition. In recent years, semaglutide has garnered significant attention as the only injectable and orally administered glucagon-like peptide-1 receptor agonist (GLP-1RA). However, it is important to note that different routes of administration may lead to varying adverse events in patients. The aim of this study is to compare the adverse event profiles of semaglutide across different routes of administration by analyzing the adverse event reporting system of the U.S. Food and Drug Administration (FDA). The findings from this analysis will provide valuable insights for clinical practice and drug surveillance.

Methods

Data was extracted from the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) database, specifically focusing on the period from the fourth quarter of 2017 to the fourth quarter of 2023. A comparative analysis was conducted using disproportionality analysis, reporting odds ratio (ROR), and stratified analysis methods to assess and compare the signals of adverse events (AE) and the time to onset of adverse reactions associated with different routes of administration of semaglutide from 2017 to 2023.

Results

A total of 22,287 adverse reaction records related to semaglutide were identified in the FAERS database. A comparative analysis was performed on 16,346 records of subcutaneous administration and 2,496 records of oral administration. Different routes of administration can lead to varying adverse reaction outcomes. Compared to oral administration, subcutaneous injection is more likely to result in adverse events related to the endocrine system. Oral administration is more likely to induce adverse events in the gastrointestinal system. Additionally, it significantly accelerates the onset of adverse reactions. The comparative analysis of all relevant results indicates that semaglutide can lead to different adverse reaction events depending on the route of administration. Furthermore, there are significant differences in the time of onset for these adverse reactions.

Conclusion

Semaglutide exhibits variations in adverse reaction events and the time of onset across different routes of administration. Therefore, when selecting the route of administration for semaglutide, clinicians should consider the risk of adverse events and weigh them against the clinical benefits. Based on these considerations, appropriate guidance and recommendations can be provided to patients.
Seed physiological traits and environmental factors influence seedling establishment of vegetable soybean (Glycine max L.)
Authors: Li Xiaoying , Liu Kathryn , Rideout Steven , Rosso Luciana , Zhang Bo , Welbaum Gregory E.
Published: June 2024

Edamame (Glycine max (L.) Merr.), a specialty soybean prized for its nutritional value and taste, has witnessed a surge in demand within the U.S. However, subpar seedling stands have hindered its production potential, necessitating increased inputs for farmers. This study aims to uncover potential physiological factors contributing to low seedling emergence in edamame. We conducted comprehensive assessments on thirteen prominent edamame genotypes alongside two food-grade and two grain-type soybean genotypes, focusing on germination and emergence speed in both laboratory and field settings. Additionally, we employed single electrical conductivity tests and identified and quantified seed leachate components to distinguish among soybean types. Furthermore, using a LabField™ simulation table, we examined seed emergence across a wide soil temperature range (5°C to 45°C) for edamame and other soybean types. All seeds were produced under the same environmental conditions, harvested in Fall 2020, and stored under uniform conditions to minimize quality variations. Our findings revealed minimal divergence in emergence percentages among the seventeen genotypes, with over 95% germination and emergence in laboratory conditions and over 70% emergence in the field. Nonetheless, edamame genotypes typically exhibited slower germination speeds and higher leachate exudates containing higher soluble sugars and amino acids. Seed size did not significantly impact total emergence but was negatively correlated with germination and emergence speed, although this effect could be mitigated under complex field conditions. Furthermore, this study proposed differences that distinguish edamame from other soybean types regarding ideal and base temperatures, as well as thermal time. The finds offer valuable insights into edamame establishment, potentially paving the way for supporting local edamame production in the U.S.
Forgetting ourselves in flow: an active inference account of flow states and how we experience ourselves within them
Authors: Parvizi-Wayne Darius , Sandved-Smith Lars , Pitliya Riddhi J. , Limanowski Jakub , Tufft Miles R. A. , Friston Karl J.
Published: June 2024

Flow has been described as a state of optimal performance, experienced universally across a broad range of domains: from art to athletics, gaming to writing. However, its phenomenal characteristics can, at first glance, be puzzling. Firstly, individuals in flow supposedly report a loss of self-awareness, even though they perform in a manner which seems to evince their agency and skill. Secondly, flow states are felt to be effortless, despite the prerequisite complexity of the tasks that engender them. In this paper, we unpick these features of flow, as well as others, through the active inference framework, which posits that action and perception are forms of active Bayesian inference directed at sustained self-organisation; i.e., the minimisation of variational free energy. We propose that the phenomenology of flow is rooted in the deployment of high precision weight over (i) the expected sensory consequences of action and (ii) beliefs about how action will sequentially unfold. This computational mechanism thus draws the embodied cognitive system to minimise the ensuing (i.e., expected) free energy through the exploitation of the pragmatic affordances at hand. Furthermore, given the challenging dynamics the flow-inducing situation presents, attention must be wholly focussed on the unfolding task whilst counterfactual planning is restricted, leading to the attested loss of the sense of self-as-object. This involves the inhibition of both the sense of self as a temporally extended object and higher–order, meta-cognitive forms of self-conceptualisation. Nevertheless, we stress that self-awareness is not entirely lost in flow. Rather, it is pre-reflective and bodily. Our approach to bodily-action-centred phenomenology can be applied to similar facets of seemingly agentive experience beyond canonical flow states, providing insights into the mechanisms of so-called selfless experiences, embodied expertise and wellbeing.
Gut-directed hypnosis and hypnotherapy for irritable bowel syndrome: a mini-review
Authors: Häuser Winfried
Published: June 2024

Irritable bowel syndrome (IBS) is a frequent health condition which can be associated with functional disability and reduced health-related quality of life. IBS is classified as a disorder of the brain-gut axis. IBS is a very heterogenous condition with regards to the underlying pathophysiological mechanisms, the clinical picture and the amount of functional impairment. Within a biopsychosocial model of IBS psychosocial factors can play a role in the in the predisposition, triggering and development of chronicity. Somatic or psychosocial or a mixture of both factors might predominate in an individual patient. Gut-directed hypnosis is a special type of medical hypnosis combining standardised gut-directed suggestions (hypnosis) with suggestions tailored to the psychological characteristics of the patient (hypnotherapy). Of brain-gut behavioral therapies, cognitive bahvioral-based interventions and gut-directed hypnosis have the largest evidence for both short-term and long-term efficacy in controlled trials for IBS and are recommended by current European and North American gastroenterology guidelines as second line treatment options. Standardised gut-directed hypnosis is available by audiotapes and can be part of a multicomponent self-management approach by digital health applications. It can be used – based on the patient‘s preferences—as first line therapy for mild forms of IBS. Severe forms of IBS require face-to-face interdisciplinary management. Standardised gut-directed hypnosis and hypnotherapy tailored to the individual patient can be part of this approach.
Gut microbiota and postpartum depression: a Mendelian randomization study
Authors: Zhang Jianjun , Wei Lechuan , Tan Hongfei , Pang Wenwen
Published: June 2024

Background

Increasing evidence suggests a correlation between intestinal microbiota and the gut-brain axis; however, the causal relationship between gut microbiota and postpartum depression (PPD) remains unclear.

Methods

In this study, a two-sample Mendelian randomization (MR) design was employed to analyze the GWAS data of gut microorganisms from the Mibiogen database and PPD data from the UK biobank. Various statistical methods, including inverse variance weighted, MR-Egger, weighted median, weighted model, and MR-PRESSO, were utilized to investigate the causal relationship between gut microbiota and PPD. Additionally, sensitivity analysis was conducted to assess the robustness of the findings.

Results

Through MR analysis, it was found that phylum Actinobacteria (P=0.014, OR=0.971, 95% CI=0.948-0.994) and genus Holdemanella (P=0.023, OR=0.979, 95% CI=0.961-0.997) have protective effects on PPD, while the other two unknown genera, genus Unknown Ids 2001 (P=0.025, OR=0.972,95% CI=0.947-0.996), and genus Unknown Ids 2755 (P=0.012, OR=0.977, 95% CI=0.959-0.995) also has a protective effect on PPD. The sensitivity analysis results indicate that there is no heterogeneity or horizontal pleiotropy.

Conclusion

This study has identified a causal association between Actinomycetota, Holdemanella, and PDD through MR analysis. These findings offer significant contributions to the development of personalized treatment approaches for PPD, encompassing interventions such as dietary modifications or microbiome interventions.
Examining the association of family environment and children emotional/behavioral difficulties in the relationship between parental anxiety and internet addiction in youth
Authors: Wang Yuxin , Zhou Keyin , Wang Yang , Zhang Jing , Xie Yuanchen , Wang Xin , Yang Wenyi , Zhang Xiyan , Yang Jie , Wang Fei
Published: June 2024

Introduction

Associations between parental anxiety and adolescent internet addiction have been documented in the literature; however, few studies have analyzed the role of the family environment in this relationship. This study aims to explore the relationship between parental anxiety and adolescent internet addiction while also investigating the indirect relationships involving multiple dimensions of the family environment and child emotional behavior issues.

Methods

Surveys were conducted among 6,296 parent-child pairs. We administered SDQ, CIAS-R, and FES-CV to assess adolescents’ issues and internet addiction, and evaluate family environment. Additionally, parents completed GAD-7 to assess parental anxiety levels.Results: Correlation analysis revealed that the family environment and adolescent emotional behavior issues played an indirect relationship in the link between parental anxiety and internet addiction.

Discussion

The findings emphasize the importance of addressing parental anxiety and fostering a positive family environment as effective measures to alleviate adolescent emotional behavior problems and reduce the risk of internet addiction.
Factors associated with maternal mortality in Kazakhstan: a pre- and during-pandemic comparison
Authors: Nukeshtayeva Karina , Kayupova Gaukhar , Yerdessov Nurbek , Bolatova Zhanerke , Zhamantayev Olzhas , Turmukhambetova Anar
Published: June 2024

Introduction

The maternal mortality indicator serves as a crucial reflection of a nation’s overall healthcare, economic, and social standing. It is necessary to identify the variations in its impacts across diverse populations, especially those at higher risk, to effectively reduce maternal mortality and enhance maternal health. The global healthcare landscape has been significantly reshaped by the COVID-19 pandemic, pressing disparities and stalling progress toward achieving Sustainable Development Goals, particularly in maternal mortality reduction.

Methods

This study investigates the determinants of maternal mortality in Kazakhstan from 2019 to 2020 and maternal mortality trends in 17 regions from 2000 to 2020, employing data extracted from national statistical reports. Stepwise linear regression analysis is utilized to explore trends in maternal mortality ratios in relation to socioeconomic factors and healthcare service indicators.

Results

The national maternal mortality ratio in Kazakhstan nearly tripled from 13.7 in 2019 to 36.5 per 100,000 live births in 2020. A remarkable decrease was observed from 2000 until around 2015 with rates spiked by 2020. Significant factors associated with maternal mortality include antenatal care coverage and the number of primary healthcare units. Additionally, socioeconomic factors such as secondary education enrollment and cases of domestic violence against women emerged as predictors of MMR. Moreover, the impact of the pandemic was evident in the shift of coefficients for certain predictors, such as antenatal care coverage in our case. In 2020, predictors of MMR continued to include secondary education enrollment and reported cases of domestic violence.

Conclusion

Despite Kazakhstan’s efforts and commitment toward achieving Sustainable Development Goals, particularly in maternal mortality reduction, the impact of the COVID-19 pandemic poses alarming challenges. Addressing these challenges and strengthening efforts to mitigate maternal mortality remains imperative for advancing maternal health outcomes in Kazakhstan.
Uncovering COVID-19 transmission tree: identifying traced and untraced infections in an infection network
Authors: Lee Hyunwoo , Choi Hayoung , Lee Hyojung , Lee Sunmi , Kim Changhoon
Published: June 2024

Introduction

This paper presents a comprehensive analysis of COVID-19 transmission dynamics using an infection network derived from epidemiological data in South Korea, covering the period from January 3, 2020, to July 11, 2021. The network illustrates infector-infectee relationships and provides invaluable insights for managing and mitigating the spread of the disease. However, significant missing data hinder conventional analysis of such networks from epidemiological surveillance.

Methods

To address this challenge, this article suggests a novel approach for categorizing individuals into four distinct groups, based on the classification of their infector or infectee status as either traced or untraced cases among all confirmed cases. The study analyzes the changes in the infection networks among untraced and traced cases across five distinct periods.

Results

The four types of cases emphasize the impact of various factors, such as the implementation of public health strategies and the emergence of novel COVID-19 variants, which contribute to the propagation of COVID-19 transmission. One of the key findings is the identification of notable transmission patterns in specific age groups, particularly in those aged 20-29, 40-69, and 0-9, based on the four type classifications. Furthermore, we develop a novel real-time indicator to assess the potential for infectious disease transmission more effectively. By analyzing the lengths of connected components, this indicator facilitates improved predictions and enables policymakers to proactively respond, thereby helping to mitigate the effects of the pandemic on global communities.

Conclusion

This study offers a novel approach to categorizing COVID-19 cases, provides insights into transmission patterns, and introduces a real-time indicator for better assessment and management of the disease transmission, thereby supporting more effective public health interventions.
Risk factors analysis and prediction model construction for severe pneumonia in older adult patients
Authors: Liu Ming-Li , Jiang Hai-Feng , Zhang Xue-Ling , Lu Cai-Xia
Published: June 2024

Objective

Pneumonia is a common and serious infectious disease that affects the older adult population. Severe pneumonia can lead to high mortality and morbidity in this group. Therefore, it is important to identify the risk factors and develop a prediction model for severe pneumonia in older adult patients.

Method

In this study, we collected data from 1,000 older adult patients who were diagnosed with pneumonia and admitted to the intensive care unit (ICU) in a tertiary hospital. We used logistic regression and machine learning methods to analyze the risk factors and construct a prediction model for severe pneumonia in older adult patients. We evaluated the performance of the model using accuracy, sensitivity, specificity, area under the receiver operating characteristic curve (AUC), and calibration plot.

Result

We found that age, comorbidities, vital signs, laboratory tests, and radiological findings were associated with severe pneumonia in older adult patients. The prediction model had an accuracy of 0.85, a sensitivity of 0.80, a specificity of 0.88, and an AUC of 0.90. The calibration plot showed good agreement between the predicted and observed probabilities of severe pneumonia.

Conclusion

The prediction model can help clinicians to stratify the risk of severe pneumonia in older adult patients and provide timely and appropriate interventions.
Automatic text classification of drug-induced liver injury using document-term matrix and XGBoost
Authors: Chen Minjun , Wu Yue , Wingerd Byron , Liu Zhichao , Xu Joshua , Thakkar Shraddha , Pedersen Thomas J. , Donnelly Tom , Mann Nicholas , Tong Weida , Wolfinger Russell D. , Bao Wenjun
Published: June 2024

Introduction

Regulatory agencies generate a vast amount of textual data in the review process. For example, drug labeling serves as a valuable resource for regulatory agencies, such as U.S. Food and Drug Administration (FDA) and Europe Medical Agency (EMA), to communicate drug safety and effectiveness information to healthcare professionals and patients. Drug labeling also serves as a resource for pharmacovigilance and drug safety research. Automated text classification would significantly improve the analysis of drug labeling documents and conserve reviewer resources.

Methods

We utilized artificial intelligence in this study to classify drug-induced liver injury (DILI)-related content from drug labeling documents based on FDA’s DILIrank dataset. We employed text mining and XGBoost models and utilized the Preferred Terms of Medical queries for adverse event standards to simplify the elimination of common words and phrases while retaining medical standard terms for FDA and EMA drug label datasets. Then, we constructed a document term matrix using weights computed by Term Frequency-Inverse Document Frequency (TF-IDF) for each included word/term/token.

Results

The automatic text classification model exhibited robust performance in predicting DILI, achieving cross-validation AUC scores exceeding 0.90 for both drug labels from FDA and EMA and literature abstracts from the Critical Assessment of Massive Data Analysis (CAMDA).

Discussion

Moreover, the text mining and XGBoost functions demonstrated in this study can be applied to other text processing and classification tasks.
Identifying stationary microbial interaction networks based on irregularly spaced longitudinal 16S rRNA gene sequencing data
Authors: Zhou Jie , Gui Jiang , Viles Weston D. , Chen Haobin , Li Siting , Madan Juliette C. , Coker Modupe O. , Hoen Anne G.
Published: June 2024

Introduction

The microbial interactions within the human microbiome are complex, and few methods are available to identify these interactions within a longitudinal microbial abundance framework. Existing methods typically impose restrictive constraints, such as requiring long sequences and equal spacing, on the data format which in many cases are violated.

Methods

To identify microbial interaction networks (MINs) with general longitudinal data settings, we propose a stationary Gaussian graphical model (SGGM) based on 16S rRNA gene sequencing data. In the SGGM, data can be arbitrarily spaced, and there are no restrictions on the length of data sequences from a single subject. Based on the SGGM, EM -type algorithms are devised to compute the L1-penalized maximum likelihood estimate of MINs. The algorithms employ the classical graphical LASSO algorithm as the building block and can be implemented efficiently.

Results

Extensive simulation studies show that the proposed algorithms can significantly outperform the conventional algorithms if the correlations among the longitudinal data are reasonably high. When the assumptions in the SGGM areviolated, e.g., zero inflation or data from heterogeneous microbial communities, the proposed algorithms still demonstrate robustness and perform better than the other existing algorithms. The algorithms are applied to a 16S rRNA gene sequencing data set from patients with cystic fibrosis. The results demonstrate strong evidence of an association between the MINs and the phylogenetic tree, indicating that the genetically related taxa tend to have more/stronger interactions. These results strengthen the existing findings in literature.

Discussion

The proposed algorithms can potentially be used to explore the network structure in genome, metabolome etc. as well.
Row covers limit pests and disease and increase profit in organic acorn squash
Authors: Fiske Kathleen , Cheng Nieyan , Kuesel Ryan , Zhang Wendong , Bessin Ricardo , Williams Mark Alan , Gonthier David
Published: June 2024

Organic cucurbit growers face many challenges to production including insect pests, insect-vectored diseases, and non-vectored diseases. While Organic Material Review Institute (OMRI) -listed pesticides underperform at suppressing pests and diseases, some alternative pest management strategies hold promise, but little research exists on their cost-effectiveness. We compared the efficacy of mesotunnel systems (nylon-mesh netting row covers deployed over bent metal hoops) and OMRI-listed pesticides (fungicides and insecticides) on acorn squash across 2 years. During the early part of the season, before row covers were removed for pollination, we found 1.7 (2020) and 0.3 (2021) times more cucumber beetles in the uncovered plots compared to the mesotunnels. Powdery mildew incidence was 36 and 25% lower under the mesotunnels compared to the uncovered plots in 2020 and 2021, respectively. Marketable yield of acorn squash was 46–54% higher in the mesotunnels compared to the uncovered treatments. OMRI-listed pesticide treatments reduced powdery mildew incidence compared to untreated control treatments. However, for pest presence, OMRI-listed pesticide treatments did not differ from untreated control treatments in either year, nor did it differ in marketable yield in 2020. Finally, the mesotunnel-only system was 47% more profitable compared to the OMRI-listed pesticide treatment and 47% more profitable compared to the uncovered plots. These results highlight mesotunnels as an economically viable pest management strategy for organic cucurbit growers in the U.S.
Brief overview of edible insects: exploring consumption and promising sustainable uses in Latin America
Authors: Granados-Echegoyen Carlos , Vásquez-López Alfonso , Calderón-Cortés Nancy , Gallego-Ocampo Heidy Lorena , Gómez-Rodríguez Carlos Humberto , Rodríguez-Vélez José Manuel , Sarmiento-Cordero Mariza Araceli , Salamanca-Canizales Leidy Julieth , Rodríguez-Vélez Beatriz , Arroyo-Balán Fabián , Andrade-Hoyos Petra
Published: June 2024

This review explores the significance of consuming edible insects, as well as their use in the food industry, agro-industry for animal husbandry, agricultural fertilizers and bio-pesticides, and pharmaceuticals. It emphasizes the increasing interest and relevance of this practice. The study starts by investigating the earliest evidence of anthropoentomophagy, which is the consumption of insects by humans, in the region. The review offers an overview of the consumption and utilization of insects in specific regions of the world, emphasizing their significance in various cultures and geographic areas. It also identifies the types of edible insects commonly consumed in Latin American countries, such as Mexico, and explains their preparation and consumption. Furthermore, the review assesses the nutritional value of edible insects, emphasizing their potential as a valuable source of protein, vitamins, and minerals. It also explores the various promising applications of insects, including their role in the food industry, animal husbandry, production of agricultural fertilizers and bioprotectants, and even their potential in the pharmaceutical sector. Finally, the article highlights the significance of entomophagy in Latin America by exploring its historical origins, nutritional benefits, and potential applications in various industries.
Experimental Research on Regulated and Unregulated Emissions from E20-Fuelled Vehicles and Hybrid Electric Vehicles
Authors: Qiu Tao , Zhao Yakun , Lei Yan , Chen Zexun , Guo Dongdong , Shi Fulu , Wang Tao
Published: June 2024

Ethanol as a renewable fuel has been applied in fuel vehicles (FVs), and it is promising in hybrid electric vehicles (HEVs). This work aims to investigate the emission characteristics of ethanol applied in both FVs and plug-in hybrid electric vehicles (PHEVs). The paper conducted a real-road test of an internal combustion FV and PHEV, respectively, based on the world light vehicle test cycle (WLTC) by using gasoline and regular gasoline under different temperature conditions. The use of E10 and E20 in FVs has been effective in reducing the conventional emissions of the vehicles. At 23 °C, E10 and E20 reduced the conventional emissions including carbon monoxide (CO), total hydrocarbon compound (THC), non-methane hydrocarbon compound (NMHC), particulate matter (PM), and particulate number (PN) by 15.40–31.11% and 11.00–44.13% respectively. At 6 °C, E10 and E20 reduced conventional emissions including THC, CO, and PM by 2.15–8.61% and 11.02–13.34%, respectively. However, nitrogen oxide (NOX) emissions increased to varying degrees. The reduction trend of non-conventional emissions including methane (CH4), nitrous oxide (N2O), and carbon dioxide (CO2) from FVs fueled with E10 and E20 is not significant for vehicles. Overall, the emission reduction effect of E20 is better than that of E10, and the emission reduction effect of ethanol gasoline on vehicle emissions is reduced at low temperatures. Lower ambient temperatures increase vehicle emissions in the low-speed segment but decrease vehicle emissions in the ultra-high-speed segment. HEV emissions of THC, CO, PN, and PM are reduced by 25.28%, 12.72%, 77.34%, and 64.59%, respectively, for E20 compared to gasoline, and the use of E20 in HEVs contributes to the reduction of overall vehicle emissions.
Visualising Daily PM10 Pollution in an Open-Cut Mining Valley of New South Wales, Australia—Part II: Classification of Synoptic Circulation Types and Local Meteorological Patterns and Their Relation to Elevated Air Pollution in Spring and Summer
Authors: Jiang Ningbo , Riley Matthew L. , Azzi Merched , Di Virgilio Giovanni , Duc Hiep Nguyen , Puppala Praveen
Published: June 2024

The Upper Hunter Valley is a major coal mining area in New South Wales (NSW), Australia. Due to the ongoing increase in mining activities, PM10 (air-borne particles with an aerodynamic diameter less than 10 micrometres) pollution has become a major air quality concern in local communities. The present study was initiated to quantitatively examine the spatial and temporal variability of PM10 pollution in the region. An earlier paper of this study identified two air quality subregions in the valley. This paper aims to provide a holistic summarisation of the relationships between elevated PM10 pollution in two subregions and the local- and synoptic-scale meteorological conditions for spring and summer, when PM10 pollution is relatively high. A catalogue of twelve synoptic types and a set of six local meteorological patterns were quantitatively derived and linked to each other using the self-organising map (SOM) technique. The complex meteorology–air pollution relationships were visualised and interpreted on the SOM planes for two representative locations. It was found that the influence of local meteorological patterns differed significantly for mean PM10 levels vs. the occurrence of elevated pollution events and between air quality subregions. In contrast, synoptic types showed generally similar relationships with mean vs. elevated PM10 pollution in the valley. Two local meteorological patterns, the hot–dry–northwesterly wind conditions and the hot–dry–calm conditions, were found to be the most PM10 pollution conducive in the valley when combined with a set of synoptic counterparts. These synoptic types are featured with the influence of an eastward migrating continental high-pressure system and westerly troughs, or a ridge extending northwest towards coastal northern NSW or southern Queensland from the Tasman Sea. The method and results can be used in air quality research for other locations of NSW, or similar regions elsewhere.
ARIMA Analysis of PM Concentrations during the COVID-19 Isolation in a High-Altitude Latin American Megacity
Authors: Hernández-Medina David Santiago , Zafra-Mejía Carlos Alfonso , Rondón-Quintana Hugo Alexander
Published: June 2024

The COVID-19 pandemic precipitated a unique period of social isolation, presenting an unprecedented opportunity to scrutinize the influence of human activities on urban air quality. This study employs ARIMA models to explore the impact of COVID-19 isolation measures on the PM10 and PM2.5 concentrations in a high-altitude Latin American megacity (Bogota, Colombia). Three isolation scenarios were examined: strict (5 months), sectorized (1 months), and flexible (2 months). Our findings indicate that strict isolation measures exert a more pronounced effect on the short-term simulated concentrations of PM10 and PM2.5 (PM10: −47.3%; PM2.5: −54%) compared to the long-term effects (PM10: −29.4%; PM2.5: −28.3%). The ARIMA models suggest that strict isolation measures tend to diminish the persistence of the PM10 and PM2.5 concentrations over time, both in the short and long term. In the short term, strict isolation measures appear to augment the variation in the PM10 and PM2.5 concentrations, with a more substantial increase observed for PM2.5. Conversely, in the long term, these measures seem to reduce the variations in the PM concentrations, indicating a more stable behavior that is less susceptible to abrupt peaks. The differences in the reduction in the PM10 and PM2.5 concentrations between the strict and flexible isolation scenarios were 23.8% and 12.8%, respectively. This research provides valuable insights into the potential for strategic isolation measures to improve the air quality in urban environments.
A 5-Year Follow-Up after Endovascular Treatment of 402 Intracranial Aneurysms—A Single-Centre Experience
Authors: Repić Buličić Ana , Ozretić David , Radoš Marko , Ljevak Josip , Bazina Martinović Antonela , Poljaković Skurić Zdravka
Published: June 2024

The aim of our study was to evaluate the early and long-term clinical and morphological outcomes of the endovascular treatment of ruptured and non-ruptured intracranial aneurysms in a cohort of patients from a single centre. We retrospectively analysed the treatment outcomes of 402 endovascularly treated intracranial aneurysms with an average follow-up of 5.5 years. All included patients were treated with endovascular techniques (coil, stent or both). We analysed patient demographics, risk factors for an aneurysm rupture, aneurysm characteristics, and clinical and angiographic complications and outcomes. We analysed and compared the data from the two groups, ruptured aneurysms (RAs) and unruptured aneurysms (UAs), separately. Out of the 318 patients included, a good early clinical outcome was achieved in 78.5% of RAs and in 95.3% of UAs. No complications occurred in 87.71% of patients with UAs and in 80.45% with RAs. The periprocedural rupture rate for UAs and RAs was 0.8% and 2.2%, respectively. The rate of thromboembolic events was 4.8 and 8% for UAs and RAs, respectively. A retreatment due to the recanalisation was required in 9.21% of patients with UAs and in 16.66% of patients with RAs. The results from our centre showed an overall favourable clinical outcome with acceptable periprocedural complications for both RAs and UR aneurysms and proved the endovascular method as safe and effective in the treatment of intracranial aneurysms.
Genetic Prognostic Factors in Adult Diffuse Gliomas: A 10-Year Experience at a Single Institution
Authors: Barzegar Behrooz Amir , Darzi Ramandi Hadi , Latifi-Navid Hamid , Peymani Payam , Tarharoudi Rahil , Momeni Nasrin , Sabaghpour Azarian Mohammad Mehdi , Eltonsy Sherif , Pour-Rashidi Ahmad , Ghavami Saeid
Published: June 2024

Gliomas are primary brain lesions involving cerebral structures without well-defined boundaries and constitute the most prevalent central nervous system (CNS) neoplasms. Among gliomas, glioblastoma (GB) is a glioma of the highest grade and is associated with a grim prognosis. We examined how clinical variables and molecular profiles may have affected overall survival (OS) over the past ten years. A retrospective study was conducted at Sina Hospital in Tehran, Iran and examined patients with confirmed glioma diagnoses between 2012 and 2020. We evaluated the correlation between OS in GB patients and sociodemographic as well as clinical factors and molecular profiling based on IDH1, O-6-Methylguanine-DNA Methyltransferase (MGMT), TERTp, and epidermal growth factor receptor (EGFR) amplification (EGFR-amp) status. Kaplan–Meier and multivariate Cox regression models were used to assess patient survival. A total of 178 patients were enrolled in the study. The median OS was 20 months, with a 2-year survival rate of 61.0%. Among the 127 patients with available IDH measurements, 100 (78.7%) exhibited mutated IDH1 (IDH1-mut) tumors. Of the 127 patients with assessed MGMT promoter methylation (MGMTp-met), 89 (70.1%) had MGMT methylated tumors. Mutant TERTp (TERTp-mut) was detected in 20 out of 127 cases (15.7%), while wildtype TERTp (wildtype TERTp-wt) was observed in 107 cases (84.3%). Analyses using multivariable models revealed that age at histological grade (p < 0.0001), adjuvant radiotherapy (p < 0.018), IDH1 status (p < 0.043), and TERT-p status (p < 0.014) were independently associated with OS. Our study demonstrates that patients with higher tumor histological grades who had received adjuvant radiotherapy exhibited IDH1-mut or presented with TERTp-wt experienced improved OS. Besides, an interesting finding showed an association between methylation of MGMTp and TERTp status with tumor location.
Dose-Escalated Radiotherapy for Primary Tracheobronchial Adenoid Cystic Carcinoma
Authors: Lee Jeong Ha , Jang Jeong Yun , Noh Jae Myoung , Yang Kyungmi , Pyo Hongryull
Published: June 2024

Primary tracheobronchial adenoid cystic carcinoma (ACC) is a rare malignancy, so the optimal radiotherapy (RT) dose remains unestablished. We aimed to evaluate the effectiveness of dose-escalated RT for primary tracheobronchial ACC. We retrospectively reviewed 48 patients who had undergone definitive or postoperative RT. Patients classified into the low- and high-dose groups received RT doses <70.0 and ≥70.0 Gy in EQD2, respectively. The primary endpoint was freedom from local progression (FFLP) and overall survival (OS). Throughout the follow-up period, seven patients (14.6%) experienced local progression, while 31 (64.6%) exhibited distant metastasis, most commonly in the lungs. In total, the 5-year FFLP and OS rates were 85.7 and 84.7%, respectively. Multivariate analysis revealed that regional lymph node metastasis at diagnosis and receipt of definitive RT were associated with poorer OS. In the subgroup analysis, the definitive RT group had a 5-year FFLP rate of 33.3 and 78.2% in the low- and high-dose groups (p = 0.065), whereas 5-year OS rates were 66.7 and 79.0%, respectively (p = 0.022). Four patients (8.3%) experienced Grade 3 toxicity with tracheal or main bronchus stenosis. Dose-escalated RT with conventional fractionation may be effective in patients with tracheobronchial ACC, especially for a definitive aim.
Safety and Efficacy of Laser Interstitial Thermal Therapy as Upfront Therapy in Primary Glioblastoma and IDH-Mutant Astrocytoma: A Meta-Analysis
Authors: Pandey Aryan , Chandla Anubhav , Mekonnen Mahlet , Hovis Gabrielle E. A. , Teton Zoe E. , Patel Kunal S. , Everson Richard G. , Wadehra Madhuri , Yang Isaac
Published: June 2024

Although primary studies have reported the safety and efficacy of LITT as a primary treatment in glioma, they are limited by sample sizes and institutional variation in stereotactic parameters such as temperature and laser power. The current literature has yet to provide pooled statistics on outcomes solely for primary brain tumors according to the 2021 WHO Classification of Tumors of the Central Nervous System (WHO CNS5). In the present study, we identify recent articles on primary CNS neoplasms treated with LITT without prior intervention, focusing on relationships with molecular profile, PFS, and OS. This meta-analysis includes the extraction of data from primary sources across four databases using the Covidence systematic review manager. The pooled data suggest LITT may be a safe primary management option with tumor ablation rates of 94.8% and 84.6% in IDH-wildtype glioblastoma multiforme (GBM) and IDH-mutant astrocytoma, respectively. For IDH-wildtype GBM, the pooled PFS and OS were 5.0 and 9.0 months, respectively. Similar to rates reported in the prior literature, the neurologic and non-neurologic complication rates for IDH-wildtype GBM were 10.3% and 4.8%, respectively. The neurologic and non-neurologic complication rates were somewhat higher in the IDH-mutant astrocytoma cohort at 33% and 8.3%, likely due to a smaller cohort size.
The Multifaceted Role of miR-21 in Pancreatic Cancers
Authors: Chen Clare , Demirkhanyan Lusine , Gondi Christopher S.
Published: June 2024

With the lack of specific signs and symptoms, pancreatic ductal adenocarcinoma (PDAC) is often diagnosed at late metastatic stages, resulting in poor survival outcomes. Among various biomarkers, microRNA-21 (miR-21), a small non-coding RNA, is highly expressed in PDAC. By inhibiting regulatory proteins at the 3′ untranslated regions (UTR), miR-21 holds significant roles in PDAC cell proliferation, epithelial–mesenchymal transition, angiogenesis, as well as cancer invasion, metastasis, and resistance therapy. We conducted a systematic search across major databases for articles on miR-21 and pancreatic cancer mainly published within the last decade, focusing on their diagnostic, prognostic, therapeutic, and biological roles. This rigorous approach ensured a comprehensive review of miR-21’s multifaceted role in pancreatic cancers. In this review, we explore the current understandings and future directions regarding the regulation, diagnostic, prognostic, and therapeutic potential of targeting miR-21 in PDAC. This exhaustive review discusses the involvement of miR-21 in proliferation, epithelial–mesenchymal transition (EMT), apoptosis modulation, angiogenesis, and its role in therapy resistance. Also discussed in the review is the interplay between various molecular pathways that contribute to tumor progression, with specific reference to pancreatic ductal adenocarcinoma.
Advances in Organic Multiferroic Junctions
Authors: Borca Bogdana
Published: June 2024

Typically, organic multiferroic junctions (OMFJs) are formed of an organic ferroelectric layer sandwiched between two ferromagnetic electrodes. The main scientific interest in OMFJs focuses on the magnetoresistive properties of the magnetic spin valve combined with the electroresistive properties associated with the ferroelectric junction. In consequence, memristive properties that couple magnetoelectric functionalities, which are one of the most active fields of research in material sciences, are opening a large spectrum of technological applications from nonvolatile memory to elements in logic circuits, sensing devices, energy harvesting and biological synapsis models in the emerging area of neuromorphic computing. The realization of these multifunctional electronic elements using organic materials is presenting various advantages related to their low-cost, versatile synthesis and low power consumption functioning for sustainable electronics; green disintegration for transient electronics; and flexibility, light weight and/or biocompatibility for flexible electronics. The purpose of this review is to address the advancement of all OMFJs including not only the achievements in the charge and spin transport through OMFJs together with the effects of electroresistance and magnetoresistance but also the challenges and ways to overcome them for the most used materials for OMFJs.
Preparation of ZnO Thick Films Activated with UV-LED for Efficient H2S Gas Sensing
Authors: Martínez-Pacheco Claudio , Cervantes-López José Luis , López-Guemez Antonia del Rocío , López-Rodríguez Angélica Silvestre , Sifuentes-Gallardo Pio , Díaz-Guillen Juan Carlos , Díaz-Flores Laura Lorena
Published: June 2024

In this work, ZnO thick films were synthesized via two simple and easy methods, mechanochemical synthesis and screen-printing deposition. The ZnO powders were obtained through milling at low temperature with milling times of 20, 40, and 60 min. The ZnO thick films were fabricated by depositing 10 cycles of ZnO inks onto glass substrates. The characterization of ZnO thick films revealed a thickness ranging from 4.9 to 5.4 µm with a surface roughness between 85 and 88 nm. The structural analysis confirmed a hexagonal wurtzite crystalline structure of ZnO, both in powders and in thick films, with a preferred orientation on the (002) and (101) planes. Nanostructures with sizes ranging from 36 to 46 nm were observed, exhibiting irregular agglomerated shapes, with an energy band found between 2.77 and 3.02 eV. A static experimental set up was fabricated for gas sensing tests with continuous UV-LED illumination. The ZnO thick films, well adhered to the glass substrate, demonstrated high sensitivity and selectivity to H2S gas under continuous UV-LED illumination at low operating temperatures ranging from 35 to 80 °C. The sensitivity was directly proportional, ranging from 3.93% to 22.40%, when detecting H2S gas concentrations from 25 to 600 ppm.
Research on Key Technologies of Jewelry Design and Manufacturing Based on 3D Printing Technology
Authors: Zhang Guoqing , Wang Jiangtao , Li Junxin , Zhou Xiaoyu , Zhou Yongsheng
Published: June 2024

In conjunction with the swift enhancement of China’s economic prowess, the demand for jewelry among the populace is gradually evolving towards personalized, customized, and intricate designs. Traditional manufacturing approaches are increasingly inadequate to meet these evolving demands. However, the advent of 3D printing technology presents a viable solution for the direct fabrication of such sophisticated jewelry. To this end, the conceptualization of personalized jewelry inspiration is initiated, followed by the implementation of parametric design using SolidWorks 2018 software. Subsequently, 3D printing technology is employed to materialize the jewelry directly. Results indicate that the “Guardian” jewelry model, crafted through the parametric modeling method, exhibits a commendable design, and adheres to processing requirements following a comprehensive risk analysis. The strategic adjustment of the jewelry’s position effectively reduces the required support, circumventing the necessity of adding support to critical surfaces. The surface of the Selective Laser Melting (SLM)-manufactured “Guardian” jewelry boasts a lustrous finish, showcasing optimal overlap between pillars and excellent connectivity among pores. Minimal powder adherence on the surface is observed, enabling direct utilization post-sandblasting, polishing, and plating. This establishes a solid foundation for the direct application of SLM-manufactured personalized jewelry.