bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modelling the day–night temperature variations of ultra-hot Jupiters: confronting non-grey general circulation models and observations
Authors: Tan Xianyu , Komacek Thaddeus D , Batalha Natasha E , Deming Drake , Lupu Roxana , Parmentier Vivien , Pierrehumbert Raymond T 
Published: January 2024

ABSTRACT
Ultra-hot Jupiters (UHJs) are natural laboratories to study extreme physics in planetary atmospheres and their rich observational data sets are yet to be confronted with models with varying complexities at a population level. In this work, we update the general circulation model of Tan & Komacek (2019) to include a non-grey radiative transfer scheme and apply it to simulate the realistic thermal structures, phase-dependent spectra, and wavelength-dependent phase curves of UHJs. We performed grids of models over a large range of equilibrium temperatures and rotation periods for varying assumptions, showing that the fractional day–night brightness temperature differences remain almost constant or slightly increase with increasing equilibrium temperature from the visible to mid-infrared wavelengths. This differs from previous work primarily due to the increasing planetary rotation rate with increasing equilibrium temperature for fixed host star type. Radiative effects of varying atmospheric compositions become more significant in dayside brightness temperature in longer wavelengths. Data-model comparisons of dayside brightness temperatures and phase-curve amplitudes as a function of equilibrium temperature are in broad agreement. Observations show a large scatter compared to models even with a range of different assumptions, indicating significantly varying intrinsic properties in the hot Jupiter population. Our cloud-free models generally struggle to match all observations for individual targets with a single set of parameter choices, indicating the need for extra processes for understanding the heat transport of UHJs.
LONP1 ameliorates liver injury and improves gluconeogenesis dysfunction in acute-on-chronic liver failure
Authors: Wu Muchen , Wu Jing , Liu Kai , Jiang Minjie , Xie Fang , Yin Xuehong , Wu Jushan , Meng Qinghua 
Published: January 2024

Abstract

Background:
Acute-on-chronic liver failure (ACLF) is a severe liver disease with complex pathogenesis. Clinical hypoglycemia is common in patients with ACLF and often predicts a worse prognosis. Accumulating evidence suggests that glucose metabolic disturbance, especially gluconeogenesis dysfunction, plays a critical role in the disease progression of ACLF. Lon protease-1 (LONP1) is a novel mediator of energy and glucose metabolism. However, whether gluconeogenesis is a potential mechanism through which LONP1 modulates ACLF remains unknown.

Methods:
In this study, we collected liver tissues from ACLF patients, established an ACLF mouse model with carbon tetrachloride (CCl4), lipopolysaccharide (LPS), and D-galactose (D-gal), and constructed an in vitro hypoxia and hyperammonemia-triggered hepatocyte injury model. LONP1 overexpression and knockdown adenovirus were used to assess the protective effect of LONP1 on liver injury and gluconeogenesis regulation. Liver histopathology, biochemical index, mitochondrial morphology, cell viability and apoptosis, and the expression and activity of key gluconeogenic enzymes were detected to explore the underlying protective mechanisms of LONP1 in ACLF.

Results:
We found that LONP1 and the expressions of gluconeogenic enzymes were downregulated in clinical ACLF liver tissues. Furthermore, LONP1 overexpression remarkably attenuated liver injury, which was characterized by improved liver histopathological lesions and decreased serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) in ACLF mice. Moreover, mitochondrial morphology was improved upon overexpression of LONP1. Meanwhile, the expression and activity of the key gluconeogenic enzymes were restored by LONP1 overexpression. Similarly, the hepatoprotective effect was also observed in the hepatocyte injury model, as evidenced by improved cell viability, reduced cell apoptosis, and improved gluconeogenesis level and activity, while LONP1 knockdown worsened liver injury and gluconeogenesis disorders.

Conclusion:
We demonstrated that gluconeogenesis dysfunction exists in ACLF, and LONP1 could ameliorate liver injury and improve gluconeogenic dysfunction, which would provide a promising therapeutic target for patients with ACLF.
Simultaneous consideration of consumer preferences and seller revenue as a smart retail sales and management strategy
Authors: Ahmadi Kaliji Sina , Mojaverian Seyed Mojtaba , Amirnejad Hamid , Canavari Maurizio 
Published: January 2024

PurposeThe authors propose a dairy bundle, integrating strategies to jointly maximise producer revenue and consumer utility according to the latter's preferences.Design/methodology/approachAn algorithm based on a nested logit model identifies the bundle maximising producer revenue based on factors affecting consumer purchase behaviour. The data are drawn from a mall-intercept survey administered in Iran, with consumers stating a hypothetical choice among a comprehensive set of dairy products.FindingsDemographic characteristics and marketing mix elements significantly affect consumers' preferences. An algorithm based on the estimated dissimilarity parameter determines the best bundle of dairy products, simultaneously obtaining the highest utility and the highest expected revenue.Originality/valueConsumer preference and maximum producer or retail seller income are considered simultaneously. The bundling promotion strategy is widely used for food offerings and fresh foods and can be extended to other products.
Investigating the agriculture-induced environmental Kuznets curve hypothesis in South Asian economies
Authors: Ganie Anam Ul Haq , Khah Arif Mohd , Ahmad Masroor 
Published: January 2024

PurposeThe main purpose of this study is to investigate the agriculture-induced environmental Kuznets curve (EKC) hypothesis in South Asian economies (SAE).Design/methodology/approachThis study employs econometric techniques, including Westerlund cointegration tests, cross-sectional augmented distributive lag model (CS-ARDL) and Dumitrescu and Hurlin (DH) causality tests to investigate the relationship between renewable and non-renewable energy consumption, agriculture, economic growth, financial development and carbon emissions in SAE from 1990 to 2019.FindingsThe CS-ARDL test outcome supports the presence of the agriculture-induced EKC hypothesis in SAE. Additionally, through the application of the DH causality test, the study confirms a unidirectional causality running from renewable energy consumption (REC), fossil fuel consumption (FFC), economic growth (GDP) and squared economic growth (GDP2) to carbon dioxide (CO2) emissions.Research limitations/implicationsThis study proposes that future research should extend comparisons to worldwide intergovernmental bodies, use advanced econometric methodologies for accurate estimates, and investigate incorporating the service or primary sector into the EKC. Such multidimensional studies can inform various methods for mitigating global climate change and ensuring ecological sustainability.Originality/valueEnvironmental degradation has been extensively studied in different regions and countries, but SAE face significant constraints in addressing this issue, and comprehensive studies in this area are scarce. This research is pioneering as it is the first study to investigate the applicability of the agriculture-induced EKC in the South Asian region. By filling this gap in the current literature, the study provides valuable insights into major SAE and their environmental challenges.
The smart city conundrum: technology, privacy, and the quest for convenience
Authors: Khurshudov Andrei 
Published: January 2024

PurposeA smart city integrates a comprehensive suite of technologies, which inherently require data to function effectively. It is designed with the intention of amassing all available data concerning machines, devices, infrastructure, individuals and their surroundings. This commentary addresses the evolution of smart cities over time, the increasing extent of data collection, the growing pressure on personal privacy and people's reactions to these trends. The article highlights the contradiction between the needs of the city and the desires of its inhabitants. It notes that people react differently to gradual versus abrupt changes in data-collecting technologies and services. It also suggests that more work needs to be done to prepare both smart cities and the human population for a sustainable, mutually beneficial future.Design/methodology/approachThis commentary presents a viewpoint on the subject of data collection and privacy in smart cities, drawing on various sources to support its observations and conclusions.FindingsThe primary focus of this discussion is on the technological evolution of the cities. It emphasizes that, as cities get smarter, they offer more conveniences in exchange for various types of data, highlighting the likelihood that pressure on personal privacy will continue to escalate. This is due to the increasing pervasiveness of data-collecting technologies in every aspect of lives and urban environments. These environments are expected to become progressively smarter each year. Given this context, and to ensure a seamless transition to smart and sustainable cities, it is imperative that today's privacy discussions start to focus not only just on the existing but also on the future conditions and challenges that citizens are expected to encounter.Originality/valueThis commentary delves into the existing gaps in understanding the contradiction between the data-collection “needs” of smart cities, the direction in which the cities are evolving and people's awareness of how much data they will have to surrender in the future. It also highlights the risk of people gradually relinquishing nearly all their privacy, often without noticing, in exchange for the ever-increasing conveniences offered by smart cities.
Do local governments tax homeowner communities differently?
Authors: Füss Roland , Lerbs Oliver , Weigand Alois 
Published: January 2024

AbstractThis article investigates whether and how strongly the share of homeowners in a community affects residential property taxation by local governments. Different from renters, homeowners bear the full property tax burden, irrespective of local market conditions, and the tax is more salient to them. “Homeowner communities” may hence oppose high property taxes in order to protect their housing wealth. By merging granular spatial data from a complete housing inventory in the 2011 German Census with historical homeownership rates and housing damages during the Second World War as sources of exogenous variation in local homeownership, we provide empirical evidence that otherwise identical jurisdictions charge significantly lower property taxes when the share of homeowners in their population is higher. This result is invariant to local market conditions, which suggests tax salience is the key mechanism behind this effect. Moreover, we find positive spatial dependence on tax multipliers, indicative of property tax mimicking by local governments.
ADUs in Los Angeles: Where are they located and by how much do they raise property value?
Authors: Brueckner Jan K. , Thomaz Sarah 
Published: January 2024

AbstractUsing data from Los Angeles, this article explores the locational determinants as well as the assessed‐value effects of the presence of accessory dwelling units (ADUs). The results show that ADUs are less likely to be found on large parcels containing newer houses and at dense locations near the CBD, the LAX airport, and beaches. ADU presence is more likely close to commercial districts, light‐rail stations, and educational establishments but less likely in higher income areas and Black neighborhoods, although parcels in Latino neighborhoods are more likely to contain ADUs. The assessed‐value regressions show that ADU presence raises a parcel's assessed value and selling price by 7%–9%, while also accurately capturing the unusual rules for property assessments under California's Proposition 13.
Shelf life extending of probiotic beef patties with polylactic acid‐ajwain essential oil films and stress effects on Bacillus coagulans
Authors: Babolanimogadam Nima , Akhondzadeh Basti Afshin , Khanjari Ali , Sajjadi Alhashem Seyed Hasan , Babolani Moghadgam Kimiya , Ahadzadeh Sara 
Published: January 2024

AbstractMeat and meat products are prone to the microbial and chemical spoilage, due to the high nutritional content. This study investigated the effect of polylactic acid (PLA) films incorporated with ajwain essential oil (AEO) on microbial (total viable count [TVC], psychrotrophic bacterial count [PTC], Enterobacteriaceae, Pseudomonas spp., yeast and mold (Y&M), and also Bacillus coagulans [BCG]), chemical (pH, peroxide value [PV], thiobarbituric acid‐reactive substance [TBARS], and TVN values), and sensorial properties of beef patties, as well as survivability of BCG during refrigerated storage. Results showed that all microbial counts of samples were significantly increased, except BCG, during storage but the lowest TVC of samples was achieved in samples wrapped with PLA‐1% AEO (8 log colony forming units per gram [CFU/g]) at 12th of storage, which is significantly lower than control treatments (10.66 log CFU/g). The best results in all treatments are those wrapped by PLA‐1% AEO in all evaluated characteristics. At the final day of storage, PTC (8.82 log CFU/g), Enterobacteriaceae (5.05 log CFU/g), Pseudomonas spp. (9.08 log CFU/g), Y&M (4.69 log CFU/g), and also pH (4.5), PV (5.12 meq/kg), TBARS (2.92 MDA/kg), and TVN (14.43 mgN/100 g) values of PLA‐1% AEO treatments were significantly lower than control samples. AEO‐PLA films reduce the survival of BCG in raw patties, which reached 6.19 log CFU/g in PLA‐1% AEO treatments, although increasing the concentration of AEO in packaging PLA films led to the maintenance of BCG viability during the cooking process by increasing the AEO in PLA films. Overall, results showed shelf life of beef patties is extended 3 days more (150%) by wrapping with PLA films incorporated with 1% AEO.
Machine learning‐based radiomics to distinguish pulmonary nodules between lung adenocarcinoma and tuberculosis
Authors: Li Yuan , Lyu Baihan , Wang Rong , Peng Yue , Ran Haoyu , Zhou Bolun , Liu Yang , Bai Guangyu , Huai Qilin , Chen Xiaowei , Zeng Chun , Wu Qingchen , Zhang Cheng , Gao Shugeng 
Published: January 2024

AbstractBackgroundRadiomics is increasingly utilized to distinguish pulmonary nodules between lung adenocarcinoma (LUAD) and tuberculosis (TB). However, it remains unclear whether different segmentation criteria, such as the inclusion or exclusion of the cavity region within nodules, affect the results.MethodsA total of 525 patients from two medical centers were retrospectively enrolled. The radiomics features were extracted according to two regions of interest (ROI) segmentation criteria. Multiple logistic regression models were trained to predict the pathology: (1) The clinical model relied on clinical‐radiological semantic features; (2) The radiomics models (radiomics+ and radiomics−) utilized radiomics features from different ROIs (including or excluding cavities); (3) the composite models (composite+ and composite−) incorporated both above.ResultsIn the testing set, the radiomics+/− models and the composite+/− models still possessed efficient prediction performance (AUC ≥ 0.94), while the AUC of the clinical model was 0.881. In the validation set, the AUC of the clinical model was only 0.717, while that of the radiomics+/− models and the composite+/− models ranged from 0.801 to 0.825. The prediction performance of all the radiomics+/− and composite+/− models were significantly superior to that of the clinical model (p < 0.05). Whether the ROI segmentation included or excluded the cavity had no significant effect on these models (radiomics+ vs. radiomics−, composite+ model vs. composite−) (p > 0.05).ConclusionsThe present study established a machine learning‐based radiomics strategy for differentiating LUAD from TB lesions. The ROI segmentation including or excluding the cavity region may exert no significant effect on the predictive ability.
A latent profile analysis of social anxiety, depression, and pregaming motives among heavy‐drinking college students
Authors: Fitzke Reagan E. , Atieh Toni , Davis Jordan P. , Canning Liv , Tran Denise D. , Buch Keegan , Hummer Justin F. , Pedersen Eric R. 
Published: January 2024

AbstractBackgroundPregaming is a high‐risk drinking behavior that is associated with heavy drinking and negative alcohol‐related consequences. College students may engage in pregaming for several reasons, including to enhance social experiences or cope with negative affect. Research shows that associations between drinking, social anxiety, and depression are multifaceted. However, our understanding of the complex associations of mental health symptoms with pregaming motives and behaviors remains limited.MethodsThis study examined heterogeneity in how pregaming motives, social anxiety, and depression associate with past 30‐day pregaming variables (quantity, frequency, and negative consequences). We used latent profile analysis (LPA) in a sample of heavy‐drinking university students (N = 479).ResultsLPA results indicated four profiles: mild/moderate social anxiety and depression symptoms, moderate motives (n = 285), minimal social anxiety and depression symptoms, low motives (n = 61), subclinical/elevated social anxiety and depression symptoms, high motives (n = 75), and clinically elevated social anxiety and depression symptoms, moderate motives (n = 58). The subclinical/elevated symptoms, high motives profile reported the highest pregaming frequency and consequences, including blackouts. Individuals in the clinically elevated symptoms, moderate motives profile reported more consequences than those in the minimal symptoms, low motives and mild/moderate symptoms, moderate motives profiles. Individuals in the minimal symptoms, low motives profile reported the fewest consequences.ConclusionsAmong these students, social anxiety and pregaming motives were associated with more frequent pregaming and social anxiety and depression were associated with greater negative consequences. Interventions that target pregaming‐specific motives among students with mental health symptoms may be warranted to reduce this risky behavior and associated drinking‐related harm.
Breastfeeding outcomes at 3 months for women with diabetes in pregnancy: Findings from the Diabetes and Antenatal Milk Expressing randomized controlled trial
Authors: Moorhead Anita M. , Amir Lisa H. , Crawford Sharinne B. , Forster Della A. 
Published: January 2024

AbstractBackgroundWomen with diabetes in pregnancy have decreased exclusivity and duration of breastfeeding compared with women without diabetes, and their infants are at increased risk of hypoglycemia. Clinicians often suggest pregnant women with diabetes to express breastmilk, and studies have reported increased breastfeeding exclusivity in the early postnatal period for patients who have expressed. Little is known about longer term outcomes. We investigated whether advising low‐risk women with diabetes in pregnancy to express beginning at 36 weeks of pregnancy increased exclusivity and maintenance of breastfeeding at 3 months.MethodsWe conducted a multicenter, two‐group, randomized controlled trial at six hospitals in Melbourne, Australia, between 2011 and 2015. Women were randomized to either standard maternity care or advised to hand express for 10 min twice daily, in addition to standard care. Women were telephoned at 12–13 weeks postpartum and asked a series of questions about feeding their baby, perceptions of their milk supply, and other health outcomes.ResultsOf 631 women in the study, data for 570 (90%) were analyzed at 12–13 weeks. After adjustment, we found no evidence that women allocated to antenatal expressing were more likely to be giving only breastmilk (aRR 1.07 [95% CI 0.92–1.22]) or any breastmilk (aRR 0.99 [95% CI 0.92–1.06]) at 12–13 weeks postpartum compared with women in the standard care group.ConclusionWhile the practice of antenatal expression for low‐risk women with diabetes during pregnancy is promising for increasing exclusivity of breastmilk feeding in hospital, at 12–13 weeks, there was no association with breastfeeding outcomes.
Third Report of the Japan Diabetes Society/Japanese Cancer Association Joint Committee on Diabetes and Cancer: Summary of the results of a questionnaire survey of oncologists and diabetologists—Secondary publication
Authors: Goto Atsushi , Ohashi Ken , Noda Mitsuhiko , Noto Hiroshi , Ueki Kohjiro , Inoue Manami , Nishimura Rimei , Takahashi Shin , Ioka Tatsuya , Oshima Masanobu , Fujibayashi Kazutoshi , Tsuji Akihito , Kodaira Makoto , Tamakoshi Akiko , Mimori Koshi , Tanabe Yuko , Hara Eiji , Matsuo Keitaro , Murakami Yoshinori , Watada Hirotaka 
Published: January 2024

AbstractThe Japan Diabetes Society and the Japan Cancer Association launched a joint committee and published their “First Joint Committee Report on Diabetes and Cancer” in 2013, compiling recommendations for physicians and health‐care providers as well as for the general population. In 2016, the “Second Joint Committee Report on Diabetes and Cancer” summarized the current evidence on glycemic control and cancer risk in patients with diabetes. The current “Third Joint Committee Report on Diabetes and Cancer”, for which the joint committee also enlisted the assistance of the Japanese Society of Clinical Oncology and the Japanese Society of Medical Oncology, reports on the results from the questionnaire survey, “Diabetes Management in Patients Receiving Cancer Therapy,” which targeted oncologists responsible for cancer management and diabetologists in charge of glycemic control in cancer patients. The results of the current survey indicated that there is a general consensus among oncologists and diabetologists with regard to the need for guidelines on glycemic control goals, the relevance of glycemic control, and glycemic control during cancer therapy in cancer patients.
Gene correction and overexpression of TNNI3 improve impaired relaxation in engineered heart tissue model of pediatric restrictive cardiomyopathy
Authors: Hasegawa Moyu , Miki Kenji , Kawamura Takuji , Takei Sasozaki Ikue , Higashiyama Yuki , Tsuchida Masaru , Kashino Kunio , Taira Masaki , Ito Emiko , Takeda Maki , Ishida Hidekazu , Higo Shuichiro , Sakata Yasushi , Miyagawa Shigeru 
Published: January 2024

AbstractResearch on cardiomyopathy models using engineered heart tissue (EHT) created from disease‐specific induced pluripotent stem cells (iPSCs) is advancing rapidly. However, the study of restrictive cardiomyopathy (RCM), a rare and intractable cardiomyopathy, remains at the experimental stage because there is currently no established method to replicate the hallmark phenotype of RCM, particularly diastolic dysfunction, in vitro. In this study, we generated iPSCs from a patient with early childhood‐onset RCM harboring the TNNI3 R170W mutation (R170W‐iPSCs). The properties of R170W‐iPSC‐derived cardiomyocytes (CMs) and EHTs were evaluated and compared with an isogenic iPSC line in which the mutation was corrected. Our results indicated altered calcium kinetics in R170W‐iPSC‐CMs, including prolonged tau, and an increased ratio of relaxation force to contractile force in R170W‐EHTs. These properties were reversed in the isogenic line, suggesting that our model recapitulates impaired relaxation of RCM, i.e., diastolic dysfunction in clinical practice. Furthermore, overexpression of wild‐type TNNI3 in R170W‐iPSC‐CMs and ‐EHTs effectively rescued impaired relaxation. These results highlight the potential efficacy of EHT, a modality that can accurately recapitulate diastolic dysfunction in vitro, to elucidate the pathophysiology of RCM, as well as the possible benefits of gene therapies for patients with RCM.