bluuebunny/crossref_metadata_2025_split huggingface dataset:
Artefactual source of 2-hydroxypyridine
Authors: Wilmes Paul , Trezzi Jean-Pierre , Aho Velma , Jäger Christian , Schade Sebastian , Janzen Annette , Hickl Oskar , Kunath Benoit , Thomas Mélanie , Schmit Kristopher , Garcia Pierre , Sciortino Alessia , Martin-Gallausiaux Camille , Halder Rashi , Huarte Oihane Uriarte , Heurtaux Tony , Heins-Marroquin Ursula , Gomez-Giro Gemma , Weidenbach Katrin , Delacour Léa , Laczny Cédric , Novikova Polina , Ramiro-Garcia Javier , Singh Randolph , Andújar Begoña Talavera , Lebrun Laura , Daujeumont Annegrait , Habier Janine , Dong Xiangyi , Gavotto Floriane , Heintz-Buschart Anna , Schneider Jochen , Jehmlich Nico , von Bergen Martin , Schymanski Emma , Schmitz Ruth , Schwamborn Jens , Glaab Enrico , Linster Carole , Kitami Toshimori , Buttini Manuel , May Patrick , Trenkwalder Claudia , Oertel Wolfgang , Mollenhauer Brit 
Published: July 2023

Abstract
As part of the revisions of our original manuscript, we performed 13C-labelling experiments with cultures of the microorganism most strongly correlated with 2-hydroxypyridine (2-HP), i.e. the archaeal species Methanobrevibacter smithii. Although unlabelled 2-HP was detected in the cultures, the measurements by gas chromatography-mass spectrometry (GC-MS) indicated that M. smithii was not the direct source of 2-HP as labelled 2-HP was not measured. Further experiments involving a labelled solvent (deuterated pyridine) and faecal samples from our original study alongside the use of additional analytical platforms and measurements on human blood plasma and mouse brain tissues demonstrate that 2-HP is an artefact of the measurements by GC-MS. It is produced in a sample-specific manner during the derivatisation process for GC-MS by a so far unknown chemical reaction. Our correlative links between archaea (M. smithii) and 2-HP remain but, based on these most recent results, cannot be directly mechanistically linked. Apart from this central limitation of our original study, we have so far not uncovered any reasons which would draw into question the validity of our in vitro and in vivo results linking 2-HP to the observed molecular, behavioural and pathological hallmarks of Parkinson’s disease.
Revisiting the nexus between Economic Growth and Environment Health: An Empirical Study on 180 Nations
Authors: JAIN Megha , Jain Tinu , Jain Palakh 
Published: July 2023

Abstract
Sustainability is considered to be one of the biggest issues of our times. This study aims to understand the role of sustainability further by revisiting the much debated and intricate relationship between economic growth and environmental performance and to provide guidance to policymakers. Using a large sample of data from 180 countries over the period from 2002 to 2017 a measure that captures the various aspects of environmental performance, we perform a test of the Environmental Kuznets Curve (EKC) hypothesis, which defines the relationship between economic growth and environmental deterioration. Controlling for several associated macroeconomic and governance variables, our results suggest that, for certain regions, viz. Asia, Eastern Europe, and North America, higher economic growth as proxied by per capita GDP has a negative association with environmental performance as proxied by Environmental Performance Indices (EPI), indicating that the former may prove detrimental to the latter. Our results suggest a unidirectional relationship between the two variables and are also robust to endogeneity concerns that are often emphasized in the EKC literature. We document similar results for lower-income and lower-middle-income countries. Interestingly, we also find that small-sized governments in developing nations have a positive association with environmental performance.
Effect of Poling and Porosity on BaTiO3 for Piezocatalytic Dye Degradation
Authors: Gaur Akshay , Porwal Chirag , Sharma Moolchand , Chauhan Vishal Singh , Vaish Rahul , Kebaili Imen , Boukhris Imed , Wang Qingping , Bowen Chris 
Published: July 2023

Abstract
The presence of both organic and inorganic pollutants in water can represent a threat to our ecosystems and pose a challenge to long-term sustainability. As a result, there is a need to investigate novel methods for addressing environmental remediation. Among a variety of techniques available, piezoelectric catalysis has attracted attention due to its abililty to harness the piezoelectric effect for efficient degradation of pollutants. Herein, porous ceramic barium titnate (BaTiO3) pellets for piezocatalytic dye degradation were synthesized using polymethyl methacrylate (PMMA) as a pore former in 0-30 wt% proportion through solid state reaction method. The synthesized porous BaTiO3 pellets were characterized in detail by X-ray diffraction, Raman spectroscopy, X-ray photoelectron spectroscopy and field emission scanning electron microscopy. An increase in the degradation of a Methylene Blue (MB) dye with an increase in porosity within the BaTiO3 materials, were a maximum degradation was observed for 30 wt% PMMA pellet which has a degradation rate that was ~1.75 greater than the dense (0 wt% PMMA) BaTiO3 ceramic pellet. Furthermore, the synthesized porous BaTiO3 ceramic pellets were pulse poled, where the piezoelectric coefficient (d33) decreased with an increase in porosity. The poled 30 wt% PMMA porous BaTiO3 pellet showed approximately ~57% MB dye degradation in 180 minutes, which was comparable with 30 wt % PMMA unpoled BaTiO3 and dense 0 wt% PMMA poled BaTiO3 ceramic pellet. The study provides insights on the influence of poling of a low density porous ceramic pellets, which are utilised as the piezocatalyst for water remediation.
Diversity and Negative Effect of PM0.3-10.0 Adsorbed by Needles of Urban Trees in Irkutsk, Russia
Authors: Mikhailova Tatiana Alekseevna , Shergina Olga Vladimirovna 
Published: July 2023

Abstract
The study was performed in natural forests preserved within the Boreal zone city, Irkutsk, Russia. Test sites were selected in the forests in different districts of the city, where samples of Scots pine (Pinus sylvestris L.) and Siberian larch (Larix sibirica Ledeb.) needles were taken to study the adsorption on their surface of aerosol particles of different sizes, in microns: PM0.3, PM0.5, PM1, PM2.5, PM5, PM10. Scanning electron microscopy was used to obtain high–resolution photographs (magnification 800–2000x, 16000x) and aerosol particles (Particulate Matter – PM) were shown to be intensively adsorbed by the surface of needles, with both size and shape of the particles characterized by a wide variety. Pine needles can be covered with particles of solid aerosol by 50–75%, stomata are often completely blocked. Larch needles often show areas, which are completely covered with aerosol particles, there are often found stomata deformed by the penetration of PMx. X–ray spectral microanalysis showed differences in the chemical composition of adsorbed PMx, the particles can be metallic if metals predominate in their composition, carbonaceous – in case of carbon predominance, or polyelemental, if the composition is complex and includes significant quantities of other elements besides metals and carbon (calcium, magnesium, potassium, sodium, sulfur, chlorine, fluorine). Since the particles contain a large proportion of technogenic pollutants, accumulation by the needles of some widespread pollutants was investigated. A direct correlation of a highly significant level between the concentration of PMx in the air and the accumulation of many heavy metals in pine and larch needles, as well as sulfur, fluorine, chlorine, has been revealed, which indicates a high cleaning capacity of urban forests. At the same time, the negative impact of PMx particles on the vital status of trees is great, which shows in intense disturbance of the parameters of photosynthesis and transpiration, leading to a significant decrease in the growth characteristics of trees and reduction in the photosynthetic volume of the crowns. We consider that the results obtained are instrumental in developing an approach to improvement of urban forests status and creating a comfortable urban environment for the population.
Solanine poisoning in an elderly man with dementia：a case report with clinical findings
Authors: GAO JING , Wang Zhang , Yu Weibing 
Published: July 2023

Abstract
Background:
In this case report，we presented a rare case of an elderly man with dementia who was diagnosed of solanine poisoning with significant abdominal distension.
Case presentation:
The case was a 74-year-old man who was referred to with fever and abdominal distension. The adbominal computed tomography showed significant intestinal dilatation. After anticholine hydrochloride injection, his abdominal distension dramatically diminished.
Conclusion:
It is important to be aware of abdominal distension is a clinical manifestation of solanine poisoning, especially elderly people with dementia. It can be helpful for the diagnosis of solanine poisoning in the future.
Barriers to Penicillin Allergy De-Labeling in the Inpatient and Outpatient Settings: A Qualitative Study
Authors: Alagoz Esra , Saucke Megan , Balasubramanian Prakash , Lata Paul , Liebenstein Tyler , Kakumanu Sujani 
Published: July 2023

Abstract
Background
Penicillin allergy is the most commonly reported drug allergy in the US. Despite evidence demonstrating that up to 90% of labels are incorrect, scalable interventions are not well established. As part of a larger mixed methods investigation, we conducted a qualitative study to describe the barriers to implementing a risk-based penicillin de-labeling protocol within a single site Veteran’s hospital.
Methods
We conducted individual and group interviews with multidisciplinary inpatient and outpatient healthcare teams. The interview guides were developed using the Theoretical Domains Framework (TDF) to explore workflows and contextual factors influencing identification and evaluation of patients with penicillin allergy. Three researchers iteratively developed the codebook based on TDF domains and coded the data using thematic analysis.
Results
We interviewed 20 clinicians. Participants included three hospitalists, five inpatient pharmacists, one infectious disease physician, two anti-microbial stewardship pharmacists, four primary care providers, two outpatient pharmacists, two resident physicians, and a nurse case manager for the allergy service. The factors that contributed to barriers to penicillin allergy evaluation and de-labeling were classified under six TDF domains; knowledge, skills, beliefs about capabilities, beliefs about consequences, professional role and identity, and environmental context and resources. Participants from all groups acknowledged the importance of penicillin de-labeling. However, they lacked confidence in their skills to perform the necessary evaluations, such as test dose challenges. The fear of inducing an allergic reaction and adding further complexity to patient care exacerbated their reluctance to de-label patients. The lack of ownership of de-labeling initiative was another significant obstacle in establishing consistent clinical workflows. Additionally, heavy workloads, competing priorities, and ease of access to alternative antibiotics prevented the prioritization of tasks related to de-labeling. Space limitations and nursing staff shortages added to challenges in outpatient settings.
Conclusion
Our findings demonstrated that barriers to penicillin allergy de-labeling fall under multiple behavioral domains. Better role clarification, opportunities to develop necessary skills, and dedicated resources are needed to overcome these barriers. Future interventions will need to employ a systemic approach that addresses each of the behavioral domains influencing penicillin allergy de-labeling with stakeholder engagement of the inpatient and outpatient health care teams.
Analysis of rain-induced underground debris flow disasters in mines based on logistic regression models
Authors: Zeng Qingtian , Wu Aixiang , Cheng Haiyong , Li Zhengrong , Tuo Rujun , Wang Shaoyong , Sun Wei , Chen Chong , Sui Sugang 
Published: July 2023

AbstractRainfall is one of the main causes of underground debris flow disasters in mining areas. Studying the rainfall threshold required to induce sudden underground debris flow disasters in mines can provide a scientific basis for the prevention and control of such disasters in the rainy season. This paper analyzes the typical cases of underground debris flow disasters caused by rainfall in Pulang mining area from 2020 to 2022. A total of 249 rainfall events were selected, including 86 potential underground debris flow events and 5 major underground debris flow events. The logistic regression model is used to analyze the triggering rainfall before the event and the antecedent effective rainfall. The model evaluation results showed that the accuracy, AUC value and F1 value of the model were 0.85, 0.9493 and 0.85, respectively. The results show that the rainfall threshold of underground debris flow can be divided into three risk levels: P = 0.9: Triggering rainfall 88.6483 mm, antecedent effective rainfall 164.9885 mm. P = 0.7: Triggering rainfall was 78.2563 mm, and the antecedent effective rainfall was 145.6473 mm. P = 0.5: Triggering rainfall was 71.7336 mm, and the antecedent effective rainfall was 133.5076 mm.
Transcriptome-Wide Analysis of Gene Expression Landscape And Starch Synthesis Pathway Coexpression Network in Sorghum
Authors: Hu Zhenbin , Chen Junhao , Olatoye Marcus O , Zhang Hengyou , Lin Zhenguo 
Published: July 2023

Abstract
Background
Gene expression landscape across different tissues and developmental stages reflects their biological functions and evolutionary patterns. Integrative and comprehensive analyses of all transcriptomic data in an organism are instrumental to obtaining a complete picture of their expression landscape and tissue specificity. Such studies are still very limited in an important crop plant, sorghum, which has been used as a popular model to study drought and temperature tolerance. It also limits the discovery of the genetic basis underlying complex agricultural traits in sorghum.
Results
We characterized the genome-wide expression landscape for sorghum using 873 RNA-sequencing (RNA-seq) datasets representing 19 tissues. Our integrative analysis of these RNA-seq data provides the most comprehensive transcriptomic atlas for sorghum, which will be valuable for the sorghum research community for functional characterizations of sorghum genes. Based on the transcriptome atlas, we identified 595 housekeeping genes (HKGs) and 2,080 tissue-specific express genes (TEGs) for the 19 tissues. We identified different gene features between HKGs and TEGs, and we found that HKGs have experienced stronger selective constraints than TEGs. Furthermore, we built a transcriptome-wide co-expression network (TW-CEN) comprising 35 modules with each model having specific Gene Ontology terms enriched. High connectivity genes in TW-CEN tend to express at high levels while undergoing intensive selective pressure. With the TW-CEN, we also built global and seed-preferential co-expression networks of starch synthesis pathways, which showed that several pathways such as photosynthesis, microtubule-based movement, carotenoid biosynthesis, glycerol ether metabolic processes play important roles in starch synthesis.
Conclusions
The global transcriptome atlas of sorghum generated by this study provides an important functional genomics resource for traits discovery and insight into starch synthesis regulation in sorghum.
Evaluating the Merits and Constraints of Cryptography-Steganography Fusion: A Systematic Analysis
Authors: Haverkamp Indy , Sarmah Dipti K. 
Published: July 2023

Abstract

In an interconnected world, ensuring the confidentiality and security of digital data has become increasingly vital. Cryptography and steganography serve as two primary approaches to information security. Cryptography shields the content of messages, while steganography conceals their existence. While these methods find applications in diverse fields, there is ongoing exploration regarding the potential benefits of combining them. However, the practicality of merging these techniques hinges upon various factors, including bandwidth limitations, latency constraints, and specific security requirements pertinent to a given scenario, such as electronic voting. This review focuses on journal articles and conference papers implementing the integration of steganography and cryptography in practical applications. Notably, the majority of research conducted so far has been limited to medical applications, whereas image steganography finds widespread use across diverse domains. In this novel research, we do the extensive review in the following ways: i) By gaining valuable insights into the real-world applications being explored in the existing literature., and ii) By categorizing these applications based on their domain of applications (e.g., Medical or Transportation) and technological domain (e.g., Cloud Computing or Internet of Things). Moreover, this review thoroughly analyses the advantages and limitations associated with these implementations and discusses them from three evaluation perspectives: security, performance, and user experience. The categorization of applications facilitates guidance for future research in unexplored areas, while the three evaluation perspectives provide crucial aspects to consider when analyzing or evaluating real-world implementations.
UAD-DPN: An Unknown Attack Detection Method for Encrypted Traffic Based on Deep Prototype Network
Authors: CHEN Liangchen , GAO Shu , LIU Baoxu , JIANG Zhengwei , LU Zhigang 
Published: July 2023

Abstract
Intrusion detection systems (IDS) are well-known means of quickly detecting attacks, which can effectively detect known attacks available during training. However, when the system operates in a real open network environment, the attacks which it experiences may differ from those learned during training, which we call unknown attacks. Unknown attacks are significant threats, and their effects are the same as zero days. The main challenge of IDS is to detect unknown attacks and distinguish them from benign traffic and existing known attacks. There-fore, it is very importance to quantify to what extent an IDS can detect unknown attacks. But most existing deep learning methods for unknown attack detection cannot clearly recognize the deep features of unknown attack classes, which are inherently inaccurate. To solve these problems, an innovative unknown attack detection approach based on deep prototype network (UAD-DPN) is proposed to enhance the accuracy and efficiency of encrypted unknown attack detection. First, we employ an encrypted traffic spatiotemporal fusion feature extraction network to improve the feature representation ability. Then, we propose an innovative prototype-based encrypted traffic feature space learning model, which uses discriminative loss and open loss training models to improve the performance of encrypted unknown attacks detection. Finally, an unknown attack identification method based on the nearest prototype rule and a three-stage training approach for UAD-DPN model are designed to conveniently and effectively identify known attacks and reject unknown attacks. The experimental results demonstrated that the proposed UAD-DPN is very effective to detect both known and unknown attacks for encrypted traffic with higher accuracy and efficiency. Meanwhile, UAD-DPN have good application prospects in network intrusion detection system under the complex open network environment.
Transcutaneous Auricular Vagus Nerve Stimulation Attenuates Inflammatory Bowel Disease in Children: A Proof-of-Concept Clinical Trial
Authors: Sahn Benjamin , Pascuma Kristine , Kohn Nina , Tracey Kevin J , Markowitz James F 
Published: July 2023

Abstract
Background
Vagus nerve stimulation is an investigational anti-inflammatory therapy targeting the nervous system to modulate immune activity. This study evaluated the efficacy and safety of transcutaneous auricular VNS (ta-VNS) in patients with pediatric-onset Crohn’s disease (CD) or ulcerative colitis (UC).
Methods
Participants were 10–21 years of age with mild/moderate CD or UC and fecal calprotectin (FC) > 200 ug/g within 4 weeks of study entry. Subjects were randomized to receive either ta-VNS targeting the cymba conchae of the external left ear, or sham stimulation for a 2-week duration followed by a cross over to the alternative stimulation for an additional 2 weeks. At week 4, all subjects received ta-VNS twice daily until week 16. Primary study endpoints were clinical remission, and a ≥ 50% reduction in FC level from baseline to week 16.
Results
Twenty-two subjects were enrolled (10 CD, 12 UC). Six of 10 with CD had a wPCDAI > 12.5 and 6/12 with UC had a PUCAI > 10 at baseline, correlating to mild to moderate symptom activity. Among the 12 subjects with active disease indices at baseline, clinical remission was achieved in 3/6 (50%) with CD and 2/6 (33%) with UC at week 16. Despite high FC levels within 4 weeks of enrollment, five subjects (4 UC, 1 CD) had FC levels < 200 at the baseline visit and were excluded from the FC analysis. Of the remaining 17, median baseline FC was 907 µg/g (IQR 411-2,120). At week 16, 11/17 (64.7%) of those with baseline FC ≥ 200 had a ≥ 50% reduction in FC (95% CI 38.3–85.8). In the UC subjects, there was an 81% median reduction in FC vs baseline (833 µg/g; p = 0.03) while in the CD subjects, median reduction in FC at 16 weeks was 51% (357 µg/g; p = 0.09). There were no safety concerns.
Conclusion
Noninvasive ta-VNS attenuated signs and symptoms in a pediatric cohort with mild to moderate inflammatory bowel disease
Trial Registration
NCT03863704 - Date of registration 3/4/2019
Multi-scale Atrous convolution and depth hash model
Authors: Liao Kaiyang , Lin Jie , Zheng Yuanlin , Wang Keer , Feng Wen 
Published: July 2023

Abstract
How to propose an image retrieval algorithm with adaptable model and wide range of applications for large-scale datasets has become a critical technical problem in current image retrieval. This paper proposes an incremental image retrieval algorithm based on Atrous convolution and deep hashing with an image retrieval system as the research object. The algorithm contains two important parts: the hash function learning part and the incremental hash code mapping part. Firstly, a module is designed called feature-aware to obtain multi-scale global context-aware information. It also keeps the scale and shape of the final extracted deep features invariant. Then, a new incremental hash loss function is designed to maintain the similarity between the query image and the dataset image. The experimental results show that the algorithm model can perform well in incremental image retrieval. It is shown that the algorithm can solve the current problem of low retrieval efficiency and high cost due to retraining models caused by the dramatic increase in the number of images in the image retrieval field.