bluuebunny/crossref_metadata_2025_split huggingface dataset:
TAZ deficiency exacerbates psoriatic pathogenesis by increasing the histamine-releasing factor
Authors: Song Jiseo , Kim Hyo Kyeong , Cho Hyunsoo , Yoon Suh Jin , Lim Jihae , Lee Kyunglim , Hwang Eun Sook 
Published: May 2024

Abstract
Background
Transcriptional coactivator with PDZ-biding motif (TAZ) is widely expressed in most tissues and interacts with several transcription factors to regulate cell proliferation, differentiation, and death, thereby influencing organ development and size control. However, very little is known about the function of TAZ in the immune system and its association with inflammatory skin diseases, so we investigated the role of TAZ in the pathogenesis of psoriasis.

Results
Interestingly, TAZ was expressed in mast cells associated, particularly in lysosomes, and co-localized with histamine-releasing factor (HRF). TAZ deficiency promoted mast cell maturation and increased HRF expression and secretion by mast cells. The upregulation of HRF in TAZ deficiency was not due to increased transcription but to protein stabilization, and TAZ restoration into TAZ-deficient cells reduced HRF protein. Interestingly, imiquimod (IMQ)-induced psoriasis, in which HRF serves as a major pro-inflammatory factor, was more severe in TAZ KO mice than in WT control. HRF expression and secretion were increased by IMQ treatment and were more pronounced in TAZ KO mice treated with IMQ.

Conclusions
Thus, as HRF expression was stabilized in TAZ KO mice, psoriatic pathogenesis progressed more rapidly, indicating that TAZ plays an important role in preventing psoriasis by regulating HRF protein stability.

Graphical Abstract
Performance evaluation of varies climate models using observed and regional climate models for the Katar Watershed, Ethiopia
Authors: Yersaw Babur Tesfaye , Chane Mulusew Bezabih , Yitayew Natnael Andualem 
Published: May 2024

AbstractClimate models are fundamental tools to estimates the reliable future climate change and its effects on the water resources and agriculture in basins. However, all climate models are not equally performed for all areas. Therefore, determining the most appropriate climate models for a specific study area is essential. The focus of this study was to evaluate the performance of the regional climate models with regard to simulating precipitation, and temperatures at Katar watershed. This study examines the performance of fourteen CORDEX-AFRICA-220 Regional Climate Models (RCMs) for the period of 1984–2005 using statistical metrics such as Pearson correlation coefficient (R), mean absolute error (MAE), root mean squared error (RMSE), and bias. The findings indicated that GERICS-MPI was better performed in representing Areta, and Bokoji station, GERICS-IPSL was better representing in Assela, Ketergenet, and Sagure station, CCCma-CanESM2-AFR22, and RCA4-ICHEC performed relatively better in representing the mean annual observed rainfall at the Kulumsa, and Ogolcho station respectively. However, RCA4-CSIRO performed weakly in estimation of annual rainfall at all stations. RCM model such as GERICS-MPI was relatively better than the others in replicating the annual pattern of the maximum temperature at Areta, Bokoji, and Ketergenet stations. Similarly, GERICS-IPSL were relatively better in replicating the annual maximum temperature at Assela, and Sagure stations, CCCma-CanESM2-AFR22 at Kulumsa station, and RCA4-ICHEC at Ogolcho station performed well in capturing the observed and simulated annual maximum temperature. Better performance was observed on minimum temperature at CCCma-CanESM2-AFR22 at Areta, Assela, and Ketergenet stations, GERICS-MOHE-AFR-22 at Bokoji station, GERICS-MPI at Kulumsa, and Ogolcho stations, RAC4-NOAA-2G at Sagure stations. However, weak performance was observed RCA4-CSIRO at all stations. RCM models of GERICS-MPI, and CCLM4-NCC-AFR-22 performed better than the other RCM models for correction of annual rainfall in Katar watershed. However, poor performance was observed at RCA4-ICHEC model on Katar watershed. The GERICS-MPI model performed well. However, poor performance was observed at RCA4-ICHEC on maximum temperature, and GERICS-NOAA-2M on minimum temperature in Katar watershed.
Media exposure to climate change information and pro-environmental behavior: the role of climate change risk judgment
Authors: Vrselja Ivana , Pandžić Mario , Rihtarić Martina Lotar , Ojala Maria 
Published: May 2024

Abstract
Background
The aim of this study was to examine the relationships between exposure to climate change information in traditional and modern media, cognitive and emotional aspects of climate change risk judgment, and pro-environmental behavior (PEB).

Method
A cross-sectional online study was conducted on a quota sample of 1,075 participants (51.9% women) aged 18–79 years. Participants self-reported their exposure to climate change-related information in traditional (e.g. television) and modern media (e.g. social networks), cognitive assessment of climate change risk, level of worry about climate change, and the frequency of PEB.

Results
Structural equation modeling showed a good fit for the parallel mediation model, involving cognitive risk judgment and worry as mediators between exposure to climate change information in traditional and modern media and PEB. Exposure to climate change information in traditional media had indirect effect on PEB through heightened worry, but not cognitive risk judgment. In contrast, exposure to climate change information in modern media had no indirect effect on PEB.

Conclusion
Since the link between exposure to climate change information in traditional media and PEB has been shown to be mediated by climate change worry, it is important to enhance the coverage of climate change in traditional media in Croatia, taking care to offer solutions to reduce possible negative impact on people’s well-being.
For the greater good: modern China’s struggle on housing shortage
Authors: Ling Yuying , Zhang Feihao 
Published: May 2024

AbstractThe examination of housing shortages in China presents a fascinating subject that is rarely directly addressed. This topic not only captures our interest due to the irony in a communist country but also in light of the profound transformation of Chinese society, evolving from an agrarian civilization to a modern industrialized state. The objective of this essay is to establish a comprehensive framework that encompasses economic, social, and architectural narratives as an integrated whole. This essay delves into the historical trajectory of housing shortages in modern China, tracing the evolution of this issue within Chinese society since the founding of the communist regime in 1949. Given China’s unique industrial and residential policy framework, housing provision is intrinsically linked to state-owned factories and residential certification, commonly referred to as hukou. As the political and economic foundations have shifted over time, so too has the root cause of housing shortages. In addition to general historical and theoretical research, we have undertaken an in-depth examination of Lanxi City, one of the industrial clusters established in China. The case study of Lanxi City involves a series of visits and interviews conducted within local factories and communities. Our analysis identifies two distinct phases in this evolution: the “fundamentalist communist era” and the transitional period toward a market economy. Each of these eras can be further subdivided into four distinct phases, providing a more nuanced perspective. Our findings reveal that various housing distribution mechanisms have contributed to the issue of housing shortages. During the first era, housing shortages were primarily a result of hukou restrictions, industrial disparities, sluggish construction processes, and corporate profit considerations. In the latter phase, spanning the 1980s and 1990s, housing shortages were exacerbated by escalating costs and a slow rate of housing unit replenishment. As the new millennium unfolded, real estate bubbles compounded the housing crisis, with older neighborhoods ill-suited for modern living. Our interviews and visits complemented our literature research, offering valuable insights into the systemic exploitation of specific groups in pursuit of broader goals, hence the title. This paper underscores the housing shortage in China as a consequence of economic disparities between urban and rural regions, as well as between the prosperous East coast and the underdeveloped West hinterland.
Predicting air quality index using attention hybrid deep learning and quantum-inspired particle swarm optimization
Authors: Nguyen Anh Tuan , Pham Duy Hoang , Oo Bee Lan , Ahn Yonghan , Lim Benson T. H. 
Published: May 2024

AbstractAir pollution poses a significant threat to the health of the environment and human well-being. The air quality index (AQI) is an important measure of air pollution that describes the degree of air pollution and its impact on health. Therefore, accurate and reliable prediction of the AQI is critical but challenging due to the non-linearity and stochastic nature of air particles. This research aims to propose an AQI prediction hybrid deep learning model based on the Attention Convolutional Neural Networks (ACNN), Autoregressive Integrated Moving Average (ARIMA), Quantum Particle Swarm Optimization (QPSO)-enhanced-Long Short-Term Memory (LSTM) and XGBoost modelling techniques. Daily air quality data were collected from the official Seoul Air registry for the period 2021 to 2022. The data were first preprocessed through the ARIMA model to capture and fit the linear part of the data and followed by a hybrid deep learning architecture developed in the pretraining–finetuning framework for the non-linear part of the data. This hybrid model first used convolution to extract the deep features of the original air quality data, and then used the QPSO to optimize the hyperparameter for LSTM network for mining the long-terms time series features, and the XGBoost model was adopted to fine-tune the final AQI prediction model. The robustness and reliability of the resulting model were assessed and compared with other widely used models and across meteorological stations. Our proposed model achieves up to 31.13% reduction in MSE, 19.03% reduction in MAE and 2% improvement in R-squared compared to the best appropriate conventional model, indicating a much stronger magnitude of relationships between predicted and actual values. The overall results show that the attentive hybrid deep Quantum inspired Particle Swarm Optimization model is more feasible and efficient in predicting air quality index at both city-wide and station-specific levels.
Phospholipid biomarkers of coronary heart disease
Authors: Morita Shin-ya 
Published: May 2024

AbstractCoronary heart disease, also known as ischemic heart disease, is induced by atherosclerosis, which is initiated by subendothelial retention of lipoproteins. Plasma lipoproteins, including high density lipoprotein, low density lipoprotein (LDL), very low density lipoprotein, and chylomicron, are composed of a surface monolayer containing phospholipids and cholesterol and a hydrophobic core containing triglycerides and cholesteryl esters. Phospholipids play a crucial role in the binding of apolipoproteins and enzymes to lipoprotein surfaces, thereby regulating lipoprotein metabolism. High LDL-cholesterol is a well-known risk factor for coronary heart disease, and statins reduce the risk of coronary heart disease by lowering LDL-cholesterol levels. In contrast, the relationships of phospholipids in plasma lipoproteins with coronary heart disease have not yet been established. To further clarify the physiological and pathological roles of phospholipids, we have developed the simple high-throughput assays for quantifying all major phospholipid classes, namely phosphatidylcholine, phosphatidylethanolamine, phosphatidylserine, phosphatidic acid, phosphatidylinositol, phosphatidylglycerol + cardiolipin, and sphingomyelin, using combinations of specific enzymes and a fluorogenic probe. These enzymatic fluorometric assays will be helpful in elucidating the associations between phospholipid classes in plasma lipoproteins and coronary heart disease and in identifying phospholipid biomarkers. This review describes recent progress in the identification of phospholipid biomarkers of coronary heart disease.
Conversion of boreal forests to agricultural systems: soil microbial responses along a land-conversion chronosequence
Authors: Benalcazar Paul , Seuradge Brent , Diochon Amanda C. , Kolka Randall K. , Phillips Lori A. 
Published: May 2024

Abstract
Background
Boreal regions are warming at more than double the global average, creating opportunities for the northward expansion of agriculture. Expanding agricultural production in these regions will involve the conversion of boreal forests to agricultural fields, with cumulative impacts on soil microbial communities and associated biogeochemical cycling processes. Understanding the magnitude or rate of change that will occur with these biological processes will provide information that will enable these regions to be developed in a more sustainable manner, including managing carbon and nitrogen losses. This study, based in the southern boreal region of Canada where agricultural expansion has been occurring for decades, used a paired forest-adjacent agricultural field approach to quantify how soil microbial communities and functions were altered at three different stages post-conversion (< 10, > 10 and < 50, and > 50 years). Soil microbial functional capacity was assessed by quantitative PCR of genes associated with carbon (C), nitrogen, and phosphorous (P) cycling; microbial taxonomic diversity and community structure was assessed by amplicon sequencing.

Results
Fungal alpha diversity did not change, but communities shifted from Basidiomycota to Ascomycota dominant within the first decade. Bacterial alpha diversity increased, with Gemmatimonadota groups generally increasing and Actinomycetota groups generally decreasing in agricultural soils. These altered communities led to altered functional capacity. Functional genes associated with nitrification and low molecular weight C cycling potential increased after conversion, while those associated with organic P mineralization potential decreased. Stable increases in most N cycling functions occurred within the first decade, but C cycling functions were still changing 50 years post conversion.

Conclusions
Microbial communities underwent a rapid shift in the first decade, followed by several decades of slower transition until stabilizing 50 years post conversion. Understanding how the microbial communities respond at different stages post-conversion improves our ability to predict C and N losses from emerging boreal agricultural systems, and provides insight into how best to manage these soils in a way that is sustainable at the local level and within a global context.
Nutrition policy or price stabilisation policy: which policy is more effective for nutrition outcomes?
Authors: Razakamanana Marilys Victoire , Rakotonirainy Miora , Ramiandrisoa Tiarinisaina Olivier 
Published: May 2024

Abstract
Background
Malnutrition remains a global problem and is increasing with the emergence of the COVID-19 pandemic. In Madagascar, half of the children under five years of age suffer from stunting. However, since 2006, vitamin A supplementation campaigns, deworming and free vaccinations have been implemented within the framework of the Mother and Child Health Week (MCHW) to strengthen the fight against micronutrient deficiencies and reduce mortality. On the other hand, rice, the staple food of the Malagasy population, can provide some of the micronutrients necessary for good nutrition. However, the country’s rice production is still insufficient, and the price has been rising steadily in recent years. This has led the government to resort to the policy of stabilizing rice prices through imported rice in 2017 and 2018. The aim of this paper is therefore to analyse the effects of these policies on the prevalence of malnutrition among children under five years of age in Madagascar. Which policy would be more effective: the nutrition policy or the price stabilisation policy?

Methods
Data from the Multiple Indicator Cluster Survey conducted by the National Institute of Statistics in 2018 are used, and logistic regressions for the analysis of the effects of nutrition policies on nutrition outcomes are performed. For the effect of price stabilisation policy, panel data on 22 regions of Madagascar from 2016 to 2019 are considered, and a fixed effect model is used.

Results
We found that the effects of the nutrition policy are not immediately visible. Only participation in the 2016 MCHW contributes to a lower probability of malnutrition occurrence. The odds ratios of the effects of this participation on stunting are 0.69 (p-value: 0.05); on underweight: 0.70 (p-value < 0.01); and on wasting: 0.57 (p-value < 0.01). However, the participation rate remains very low. Then, there is no effect of the rice price stabilization policy on nutrition outcomes (0.00; p-value = 0.11).

Conclusions
Price stabilisation policy is not sufficient to fight against malnutrition, due to a lack of food diversification. These results suggest the need for a policy to ensure nutritional intake and to sensitize the population to participate in the MCHW.

Trial registration
Not applicable.
Good practices for 89Zr radiopharmaceutical production and quality control
Authors: Wuensche Thomas Erik , Lyashchenko Serge , van Dongen Guus A. M. S. , Vugts Danielle 
Published: May 2024

Abstract
Background
During the previous two decades, PET imaging of biopharmaceuticals radiolabeled with zirconium-89 has become a consistent tool in preclinical and clinical drug development and patient selection, primarily due to its advantageous physical properties that allow straightforward radiolabeling of antibodies (89Zr-immuno-PET). The extended half-life of 78.4 h permits flexibility with respect to the logistics of tracer production, transportation, and imaging and allows imaging at later points in time. Additionally, its relatively low positron energy contributes to high-sensitivity, high-resolution PET imaging. Considering the growing interest in radiolabeling antibodies, antibody derivatives, and other compound classes with 89Zr in both clinical and pre-clinical settings, there is an urgent need to acquire valuable recommendations and guidelines towards standardization of labeling procedures.

Main body
This review provides an overview of the key aspects of 89Zr-radiochemistry and radiopharmaceuticals. Production of 89Zr, conjugation with the mostly used chelators and radiolabeling strategies, and quality control of the radiolabeled products are described in detail, together with discussions about alternative options and critical steps, as well as recommendations for troubleshooting. Moreover, some historical background on 89Zr-immuno-PET, coordination chemistry of 89Zr, and future perspectives are provided. This review aims to serve as a quick-start guide for scientists new to the field of 89Zr-immuno-PET and to suggest approaches for harmonization and standardization of current procedures.

Conclusion
The favorable PET imaging characteristics of 89Zr, its excellent availability due to relatively simple production and purification processes, and the development of suitable bifunctional chelators have led to the widespread use of 89Zr. The combination of antibodies and 89Zr, known as 89Zr-immuno-PET, has become a cornerstone in drug development and patient selection in recent years. Despite the advanced state of 89Zr-immuno-PET, new developments in chelator conjugation and radiolabeling procedures, application in novel compound classes, and improved PET scanner technology and quantification methods continue to reshape its landscape towards improving clinical outcomes.
Effect of intra-ovarian injection of platelet-rich plasma on the patients with a poor ovarian response (POR) or premature ovarian insufficiency (POI): a systematic review and meta-analysis
Authors: Adiga Prashanth K. , Marconi Nicola , N Ravishankar , Vitthala Srisailesh 
Published: May 2024

Abstract
Background
POR or POI poses a significant challenge to fertility treatment with different ovarian stimulation strategies. Intra-ovarian injection of platelet-rich plasma (PRP) has been hypothesised to improve ovarian reserve and pregnancies in POI or POR. However, its effectiveness on pregnancy, embryology and ovarian reserve outcomes need to be established. Therefore, we systematically searched databases based on PRISMA guidelines that reported on the effects of intra-ovarian autologous PRP injections in sub-fertile women with POI and POR. The following outcome effects were analysed by random model and included in the meta-analysis in pre- and post-PRP injection groups of POI & POR: (a) pregnancy rates, rate of oocyte & embryo formation (b) ovarian reserve markers (Antral follicular count, Anti-Mullerian Hormone, Follicle Stimulating Hormone). A separate analysis of pregnancies, AFC and AMH was done in POI and POR groups and in age groups < 35 years and > 35 years. A total of 12 studies were included. The estimated overall effects size of the log odds ratio (log OR = 2.03; 95% CI = 0.13 to 3.92; P = 0.04; I2 = 0.42) favoured post-PRP with a moderate level of evidence. There are no significant differences in POI/POR and those with < 35 years or > 35 years.
The pooled standard difference of means favoured the post-PRP injection group significantly with regards to rates of embryo formation (1.39; 95% CI = 0.56 to 2.21; P = 0.02; I2 = 46%.), Oocyte (0.84; 95% CI = -1.3 to 3.0; P = 0.24; I 2 93%), Antral follicle count (1.78; 95% CI = 0.73 to 2.84; P = 0.01. I2 = 97%) with a low level of evidence and Anti-Mullerian Hormone (1.11; 95% CI = 0.16 to 2.05; P = 0.03; I2 = 96%) with low level of evidence.

Conclusion
Our study shows that intraovarian PRP injection was associated with no significant increase in the rates of pregnancy, in the rates of pregnancy, oocyte, embryo formation, Anti-Mullerian Hormone and antral follicle count. Live birth rates were not calculated. There was no statistical difference between POR/POI and those with < 35 years or > 35 years. Further randomized studies are warranted to confirm our findings.
Role of transforming growth factor beta in assessment of severity of hypersensitivity pneumonitis: a single center study
Authors: EL Hinnawy Yasmine H. , Salem Aymen S. , Ahmed Hebatallah H. , Halim Radwa M. Abdel , Ahmed Naglaa B. 
Published: May 2024

Abstract
Background
Hypersensitivity pneumonitis (HP) is a more frequently diagnosed picture of diffuse parenchymal lung disease. It is an inflammation of the lung tissue, provoked by immune mechanisms, which happens to prone individuals as a reaction to a wide range of antigens. There are different degrees of fibrosis and inflammation. A group of extracellular mediators both proinflammatory and profibrotic claimed to be involved in the pathogenesis of HP. Among these mediators, a significant role is played by transforming growth factor-beta (TGF-β).

Aim
Correlation between the severity of hypersensitivity pneumonitis and the serum level of TGF beta.

Patients and methods
Sixty subjects were included in the study who were classified into 30 patients newly diagnosed with hypersensitivity pneumonitis and 30 healthy subjects served as controls. All the participants were subjected to complete history taking, physical examination, spirometry, 6-min walk distance test, HRCT, and serum levels of TGF-β.

Results
The serum level of TGF beta is elevated in newly diagnosed HP cases (fibrotic and non-fibrotic) in relation to control participants showing statistical significance p value <  0.001, and the serum level of TGF beta in the fibrotic group of HP patients is more than that in non-fibrotic group with statistical significance p value 0.012.

Conclusion
The serum level of transforming growth factor can be used in the assessment of the severity of hypersensitivity pneumonitis as regards the intensity of lung parenchymal changes.