bluuebunny/crossref_metadata_2025_split huggingface dataset:
Material circularity indicator for accelerating low‐carbon circular economy in Thailand's building and construction sector
Authors: Poolsawad Nongnuch , Chom‐in Tassaneewan , Samneangngam Jantima , Suksatit Prakaytham , Songma Khaowpradabdin , Thamnawat Saowalak , Kanoksirirath Somrath , Mungcharoen Thumrongrut 
Published: March 2023

AbstractThailand's steady growth of urban areas and industrial estates, the construction sector needs to adopt a low‐carbon circular economy (CE) model that emphasizes material circularity and resource efficiency. This research aims to measure the low‐carbon CE of the construction industry through significant representative products, life cycle assessment and material circularity indicator (MCI) were measured on significant representative products materials were evaluated. In the results of the study, it was found that the MCI and GHGs revealed the following results: 1 ton of construction steel products = 0.73 and 2.32 kgCO2/ton, 1 bag (50 kg) of mortar and cement products = 0.17 and 16.92 kgCO2/bag, 1 m3 of ready‐mixed concrete at compressive strength 240 kilograms per square centimeter = 0.11 and 253.63 kgCO2/m3, 1 m3 of wood and composite wood products = 0.17 and 745.84 kgCO2/bag, also 1 m2K/W (meters squared Kelvin per Watt) of glass wool insulation = 0.50 and 1.63 kgCO2/m2K/W, respectively. These values are indicated as national baselines for monitoring CE performance that contribute to the industry's long‐term viability and turn to sustainability in Thailand through the key strategic issues in Thailand's CE and low‐carbon society. The GHGs reduction of 11 million tons is expected, which can also increase the 10% of material circularity, also the estimation of the economic value, by considering the value added from material reduction and the price of carbon credit from construction and demolition waste reduction affect the Thai construction industry by approximately 67 million dollars.
Changes in fatty acids during storage of artisanal‐processed freshwater sardines (Rastrineobola argentea)
Authors: Chaula Davis , Jacobsen Charlotte , Laswai Henry S. , Chove Bernard Elias , Dalsgaard Anders , Mdegela Robinson , Hyldig Grethe 
Published: March 2023

AbstractFor ages, indigenous small fish species have been important in food and nutritional security of poor communities in low income countries. Freshwater fish, in particular fatty fish species are attracting a great attention because they are good sources of health promoting long chain omega‐3 fatty acids. Docosahexaenoic acid (DHA, C22:6n‐3), Docosapentaenoic acid (DPA, C22:5n‐3) and eicosapentaenoic acid (EPA, C20:5n‐3) are the main omega‐3 PUFAs known to confer health benefits in humans if consumed in required amounts. While nutritionally valued, omega‐3 PUFAs in fish are susceptible to oxidative damage during processing, transportation and subsequent storage. Lake Victoria sardines (Rastrineobola argentea), are rich source of chemically unstable omega‐3 fatty acids DHA, DPA and EPA. Traditionally, sardines are preserved by sun drying, deep frying and smoking. Sardine products are transported, stored and marketed at ambient temperatures. Generally, uncontrolled and higher temperatures are known to increase vulnerability of polyunsaturated fatty acids to oxidation which in turn results into loss of nutritional and sensory qualities. This study investigated changes of fat acids in sun dried, deep fried and smoked sardines during storage. Lipolysis and the progressive hydroperoxides formation were monitored by free fatty acids (FFAs) and peroxide value (PV) respectively. None volatile secondary products of lipid oxidation were measured by thiobabituric acid reactive substances (TBARS). Fatty acids were analyzed by gas chromatography with a flameionization detector (GC‐FID). Deep fried sardines maintained the lowest and apparently stable PV, TBARS and FFAs. Proportions of saturated fatty acids and polyunsaturated fatty acids decreased with time while that of monounsaturated fatty acids increased. Omega‐3 fatty acids EPA, DPA and DHA decreased with increase in storage time. In 21 days of storage, DHA was oxidized beyond detectable levels in all sardine products. Gradual increase in FFAs in sun dried sardines was suggestive of lipid hydrolysis induced by enzymes.
Water pollution from pharmaceutical use in livestock farming: Assessing differences between livestock types and production systems
Authors: Wöhler Lara , Hogeboom Rick J. , Berger Markus , Krol Maarten S. 
Published: March 2023

Abstract
Livestock production is a major source of pharmaceutical emissions to the environment. The current scientific discourse focuses on measuring and modeling emissions as well as assessing their risks. Although several studies corroborate the severity of pharmaceutical pollution resulting from livestock farming, differences in pollution between livestock types and production systems are largely unknown. In fact, there is no comprehensive analysis of factors influencing pharmaceutical use—the emission's source—in the diverse production systems. To address these knowledge gaps, we developed a framework to investigate pharmaceutical pollution from different livestock production systems and applied it in a first pilot assessment to compare pollution from organic and conventional cattle, pig, and chicken production systems on selected indicator substances, covering antibiotics, antiparasitics, hormones, and nonsteroidal anti-inflammatory drugs (NSAIDs). Given the lack of statistics, for this article we retrieved novel qualitative information about influential factors for pharmaceutical use and pollution from expert interviews and combined this with quantitative data on, among other factors, the environmental behavior of specific substances from the literature. Our analysis reveals that factors across a pharmaceutical's entire life cycle influence pollution. However, not all factors are livestock type or production-system dependent. The pilot assessment furthermore reveals that differences in pollution potential between conventional and organic production exist, but for antibiotics, NSAIDs, and partially for antiparasitics, some factors lead to greater pollution potential in conventional systems, and others in organic systems. For hormones, we identified a comparatively greater pollution potential from conventional systems. Among the indicator substances, the assessment over the entire pharmaceutical life cycle illustrates that flubendazole in broiler production has the greatest per unit impact. The framework and its application in the pilot assessment generated insights useful to identifying which substances, livestock types, production systems, or the combination thereof have great or little pollution potential, informing more sustainable agricultural management practices. Integr Environ Assess Manag 2023;19:1495–1509. © 2023 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC).
Data‐driven structural descriptor for predicting platinum‐based alloys as oxygen reduction electrocatalysts
Authors: Zhang Xue , Wang Zhuo , Lawan Adam Mukhtar , Wang Jiahong , Hsieh Chang‐Yu , Duan Chenru , Pang Cheng Heng , Chu Paul. K. , Yu Xue‐Feng , Zhao Haitao 
Published: March 2023

AbstractOwing to increasing global demand for carbon neutral and fossil‐free energy systems, extensive research is being conducted on efficient and inexpensive electrocatalysts for catalyzing the kinetically sluggish oxygen reduction reaction (ORR) at the cathode of fuel cells. Platinum (Pt)‐based alloys are considered promising candidates for replacing expensive Pt catalysts. However, the current screening process of Pt‐based alloys is time‐consuming and labor‐intensive, and the descriptor for predicting the activity of Pt‐based catalysts is generally inaccurate. This study proposed a strategy by combining high‐throughput first‐principles calculations and machine learning to explore the descriptor used for screening Pt‐based alloy catalysts with high Pt utilization and low Pt consumption. Among the 77 prescreened candidates, we identified 5 potential candidates for catalyzing ORR with low overpotential. Furthermore, during the second and third rounds of active learning, more Pt‐based alloys ORR candidates are identified based on the relationship between structural features of Pt‐based alloys and their activity. In addition, we highlighted the role of structural features in Pt‐based alloys and found that the difference between the electronegativity of Pt and heteroatom, the valence electrons number of the heteroatom, and the ratio of heteroatoms around Pt are the main factors that affect the activity of ORR. More importantly, the combination of those structural features can be used as structural descriptor for predicting the activity of Pt‐based alloys. We believe the findings of this study will provide new insight for predicting ORR activity and contribute to exploring Pt‐based electrocatalysts with high Pt utilization and low Pt consumption experimentally.image
Research and development needs in agricultural water management to achieve sustainable development goals*1
Authors: Bjornlund Henning , van Rooyen Andre , Pittock Jamie , Bjornlund Vibeke 
Published: March 2023

AbstractThe United Nations calls for action to achieve 17 sustainable development goals (SDGs). We argue that the current development paradigm is an impediment to achieving several of these goals. We identify 14 agricultural research and development (R&D) needs, which ought to be addressed to achieve critical SDGs. We also identify the paradigm shifts required, particularly from global and international organizations, to facilitate this R&D and implement its outcomes. Importantly, the Global North2 would have to divert its focus from securing access to cheap land, water and labour that is primarily used to generate agricultural exports and business opportunities for Global North investors. Instead, the focus needs to be on creating opportunities for local farming communities to produce food for domestic markets, increase income and generate local jobs and business opportunities. Circular food systems can support a range of SDG goals, such as no hunger and zero poverty and slow migration, especially of youth, to big cities or foreign lands with insecure jobs.
Associations between the type of help after sexual harm and adolescents' suicidal ideation
Authors: Yoon Na‐Young , Yun Il , Jung Yun Hwa , Park Eun‐Cheol , Jang Sung‐In 
Published: March 2023

AbstractIntroductionThis cross‐sectional study aimed to determine the association between receiving external help after sexual harm and suicidal ideation among Korean adolescents. The help received was classified into professional and nonprofessional to test the strength of the association according to the type of help.MethodsUsing data from the 2017−2019 Korean children and youth rights study, we analyzed a total of 18,740 middle and high school students. The dependent variable was suicidal ideation; the primary and secondary independent variable was experience of sexual harm and receiving help after sexual harm, respectively. Data were analyzed using χ2 tests and multivariable logistic regression analyses.ResultsExperience of sexual harm was significantly associated with higher suicidal ideation, and receiving help after sexual harm was significantly associated with lower suicidal ideation compared with not receiving help, regardless of gender. Furthermore, lower suicidal ideation was more strongly associated with receiving professional help in female adolescents, and receiving nonprofessional help in male adolescents.ConclusionsReceiving help after sexual harm was negatively associated with suicidal ideation, and the strength of this association varied with gender and the type of help received. These results can aid the development of evidence‐based crisis intervention for victims of sexual harm.
Deep Learning Radiomics for the Assessment of Telomerase Reverse Transcriptase Promoter Mutation Status in Patients With Glioblastoma Using Multiparametric MRI
Authors: Zhang Hongbo , Zhang Hanwen , Zhang Yuze , Zhou Beibei , Wu Lei , Lei Yi , Huang Biao 
Published: March 2023

BackgroundStudies have shown that magnetic resonance imaging (MRI)‐based deep learning radiomics (DLR) has the potential to assess glioma grade; however, its role in predicting telomerase reverse transcriptase (TERT) promoter mutation status in patients with glioblastoma (GBM) remains unclear.PurposeTo evaluate the value of deep learning (DL) in multiparametric MRI‐based radiomics in identifying TERT promoter mutations in patients with GBM preoperatively.Study TypeRetrospective.PopulationA total of 274 patients with isocitrate dehydrogenase‐wildtype GBM were included in the study. The training and external validation cohorts included 156 (54.3 ± 12.7 years; 96 males) and 118 (54 .2 ± 13.4 years; 73 males) patients, respectively.Field Strength/SequenceAxial contrast‐enhanced T1‐weighted spin‐echo inversion recovery sequence (T1CE), T1‐weighted spin‐echo inversion recovery sequence (T1WI), and T2‐weighted spin‐echo inversion recovery sequence (T2WI) on 1.5‐T and 3.0‐T scanners were used in this study.AssessmentOverall tumor area regions (the tumor core and edema) were segmented, and the radiomics and DL features were extracted from preprocessed multiparameter preoperative brain MRI images—T1WI, T1CE, and T2WI. A model based on the DLR signature, clinical signature, and clinical DLR (CDLR) nomogram was developed and validated to identify TERT promoter mutation status.Statistical TestsThe Mann–Whitney U test, Pearson test, least absolute shrinkage and selection operator, and logistic regression analysis were applied for feature selection and construction of radiomics and DL signatures. Results were considered statistically significant at P‐value <0.05.ResultsThe DLR signature showed the best discriminative power for predicting TERT promoter mutations, yielding an AUC of 0.990 and 0.890 in the training and external validation cohorts, respectively. Furthermore, the DLR signature outperformed CDLR nomogram (P = 0.670) and significantly outperformed clinical models in the validation cohort.Data ConclusionThe multiparameter MRI‐based DLR signature exhibited a promising performance for the assessment of TERT promoter mutations in patients with GBM, which could provide information for individualized treatment.Level of Evidence3Technical EfficacyStage 2
A machine learning‐derived neuroanatomical pattern predicts delayed reward discounting in the Human Connectome Project Young Adult sample
Authors: Xu Hui , MacKillop James , Owens Max M. 
Published: March 2023

AbstractDelayed reward discounting (DRD) is defined as the extent to which person favors smaller rewards that are immediately available over larger rewards available in the future. Higher levels of DRD have been identified in individuals with a wide range of clinical disorders. Although there have been studies adopting larger samples and using only gray matter volume to characterize the neuroanatomical correlates of DRD, it is still unclear whether previously identified relationships are generalizable (out‐of‐sample) and how cortical thickness and cortical surface area contribute to DRD. In this study, using the Human Connectome Project Young Adult dataset (N = 1038), a machine learning cross‐validated elastic net regression approach was used to characterize the neuroanatomical pattern of structural magnetic resonance imaging variables associated with DRD. The results revealed a multi‐region neuroanatomical pattern predicted DRD and this was robust in a held‐out test set (morphometry‐only R2 = 3.34%, morphometry + demographics R2 = 6.96%). The neuroanatomical pattern included regions implicated in the default mode network, executive control network, and salience network. The relationship of these regions with DRD was further supported by univariate linear mixed effects modeling results, in which many of the regions identified as part of this pattern showed significant univariate associations with DRD. Taken together, these findings provide evidence that a machine learning‐derived neuroanatomical pattern encompassing various theoretically relevant brain networks produces robustly predicts DRD in a large sample of healthy young adults.
Contrast‐enhanced Ultrasound Combined With Elastography for the Evaluation of Muscle‐invasive Bladder Cancer in Rats
Authors: Hu Xing , Sun Chuanyu , Ren Xinping , Ge Shengyang , Xie Chunmei , Li Xiangyu , Zhu Yingfeng , Ding Hong 
Published: March 2023

ObjectivesBy comparing with the control group, we evaluated the usefulness of contrast‐enhanced ultrasound (CEUS) combined with elastography for the assessment of muscle invasion by bladder cancer (MIBC) in a Sprague–Dawley (SD) rat model.MethodsIn the experimental group, 40 SD rats developed in situ bladder cancer (BLCA) in response to N‐methyl‐N‐nitrosourea treatment, whereas 40 SD rats were included in the control group for comparison. We compared PI, Emean, microvessel density (MVD), and collagen fiber content (CFC) between the two groups. In the experimental group, Bland–Altman test was used to assess the relationships between various parameters. The largest Youden value was used as the cut‐off point, and binomial logistic regression analysis was performed to analyze the PI and Emean. Receiver operating characteristic (ROC) curve analysis was performed to determine the diagnostic power of parameters, individually and in combination.ResultsThe PI, Emean, MVD, and CFC were significantly lower in the control group than in the experimental group (P < .05). The PI, Emean, MVD, and CFC were significantly higher for MIBC than for non‐muscle‐invasive bladder cancer (P < .05). There were significant correlations between PI and MVD, and between Emean and CFC. The diagnostic efficiency analysis showed PI had the highest sensitivity, CFC had the highest specificity, and PI + Emean had the highest diagnostic efficacy.ConclusionCEUS and elastography can distinguish lesions from normal tissue. PI, MVD, Emean, and CFC were useful for the detection of BLCA myometrial invasion. The comprehensive utilization of PI and Emean improved diagnostic accuracy and have clinical application.
Bacterial proton motive force as an unprecedented target to control antimicrobial resistance
Authors: Yang Bingqing , Tong Ziwen , Shi Jingru , Wang Zhiqiang , Liu Yuan 
Published: March 2023

AbstractNovel antibacterial therapies are urgently required to tackle the increasing number of multidrug‐resistant pathogens. Identification of new antimicrobial targets is critical to avoid possible cross‐resistance issues. Bacterial proton motive force (PMF), an energetic pathway located on the bacterial membrane, crucially regulates various biological possesses such as adenosine triphosphate synthesis, active transport of molecules, and rotation of bacterial flagella. Nevertheless, the potential of bacterial PMF as an antibacterial target remains largely unexplored. The PMF generally comprises electric potential (ΔΨ) and transmembrane proton gradient (ΔpH). In this review, we present an overview of bacterial PMF, including its functions and characterizations, highlighting the representative antimicrobial agents that specifically target either ΔΨ or ΔpH. At the same time, we also discuss the adjuvant potential of bacterial PMF‐targeting compounds. Lastly, we highlight the value of PMF disruptors in preventing the transmission of antibiotic resistance genes. These findings suggest that bacterial PMF represents an unprecedented target, providing a comprehensive approach to controlling antimicrobial resistance.
Detection of gonosomal mosaicism by ultra‐deep sequencing and droplet digital PCR in patients with Emery–Dreifuss muscular dystrophy
Authors: Xie Yanshu , Luo Jingsi , Zhong Jingzi , Liu Xu , Tang Jing , Lan Dan 
Published: March 2023

AbstractBackgroundEmery–Dreifuss muscular dystrophy (EDMD2) is a rare form of muscular dystrophy that is inherited as an autosomal dominant trait. In some patients, it is inherited from parental mosaicism, and this increases the recurrence risk significantly. The presence of mosaicism is underestimated due to the limitations of genetic testing and the difficulty in obtaining samples.MethodsA peripheral blood sample from a 9‐year‐old girl with EDMD2 was analyzed by enhanced whole exome sequencing (WES). Sanger sequencing in her unaffected parents and younger sister was performed for validation. In the mother, ultra‐deep sequencing and droplet digital PCR (ddPCR) in multiple samples (blood, urine, saliva, oral epithelium, and nail clippings) were performed in order to identify the suspected mosaicism of the variant.ResultsWES revealed a heterozygous mutation (LMNA, c.1622G>A) in the proband. Sanger sequencing of the mother suggested the presence of mosaicism. The ratio of mosaic mutation was confirmed in different samples by ultra‐deep sequencing and ddPCR (19.98%–28.61% and 17.94%–28.33%, respectively). This inferred that the mosaic mutation may have occurred early during embryonic development and that the mother had gonosomal mosaicism.ConclusionWe described a case of EDMD2 caused by maternal gonosomal mosaicism which was confirmed by using ultra‐deep sequencing and ddPCR. This study illustrates the importance of a systematic and comprehensive screening of parental mosaicism with more sensitive approaches and the use of multiple tissue samples.
Factors associated with poor prognosis of hip arthritis in juvenile idiopathic arthritis: Data from the JIR cohort
Authors: Hamdi Wafa , Ferjani Hanene , Carlomagno Raffaella , Dusser Perrine , Echaubard Stéphane , Belot Alexandre , Bouayed Kenza , Wouters Carine , Richer Olivier , Hentgen Véronique , Lohse Anne , Dan Diana , Kaiser Daniela , Barbier Catherine , Cannizzaro Elvira , Poignant Sylvaine , Melki Isabelle ,   JIRcohort Consortium, Hofer Michaël 
Published: March 2023

AbstractObjectivesHip involvement remains a predictor of severe juvenile idiopathic arthritis (JIA) course and carries a high risk of disability. This study aims to determine the factors of poor prognosis of hip involvement in patients with JIA and to assess the treatment response.MethodsThis is a multicenter observational cohort study. Patients were selected from the JIR Cohort database. Hip involvement was defined as clinically suspected and confirmed by an imaging tool. Follow‐up data were collected during 5 years.ResultsAmong the 2223 patients with JIA, 341(15%) patients had hip arthritis. Male gender, enthesitis‐related arthritis, and North African origin were factors associated with hip arthritis. Hip inflammation was associated with disease activity parameters during the first year, particularly Physician Global Assessment, joint count, and inflammatory marks. Structural hip progression was associated with early onset of the disease, a longer time to diagnosis, geographic origin, and JIA subtypes. Anti‐TNF therapy was found to be the only treatment able to effectively reduce structural damage progression.ConclusionThe early onset diagnostic delay, origin, and systemic subtype of JIA predict a poor prognosis of hip arthritis in children with JIA. The use of anti‐TNF was associated with a better structural prognosis.