bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fish oil induces thermogenesis in diet-induced obese mice in brown adipose tissue, but not in white adipose tissue.
Authors: Obo Takahiko , Hashiguchi Hiroshi , Matsuda Eriko , Kawade Shigeru , Ogiso Kazuma , Iwai Haruki , Ataka Koji , Yasuda Osamu , Arimura Aiko , Deguchi Takahisa , Asakawa Akihiro , Nishio Yoshihiko 
Published: February 2024

Abstract

The ω3 polyunsaturated fatty acids in fish oil enhance heat production in adipocytes and exert anti-obesity effects, but the effects of fish oil on heat production in diet-induced obese (DIO) mice are unclear. We examined whether diets containing fish oil increased the expression of heat-producing genes in adipose tissue and increased body temperature in DIO mice, resulting in weight loss. C57BL6/J mice were fed a lard-based high-fat diet for 8 weeks starting at 5 weeks of age and then divided into two groups: one group was fed a fish oil-based high-fat diet, and the other group was fed a lard-based high-fat diet continuously for another 8 weeks. Mice fed a fish oil-based high-fat diet lost body weight gain, adipose tissue weight gain, and reduced insulin/leptin resistance. In addition, the rectal temperatures of mice fed a fish oil-based high-fat diet remained higher. In DIO mice fed a fish oil-based high-fat diet, the FGF21 expression in BAT increased. In conclusion, the administration of fish oil increased the expression of heat-producing genes in brown adipose tissue (BAT) but did not alter heat-producing genes in inguinal white adipose tissue (WAT).
Unveiling the charge density wave mechanism in vanadium-based Bi-layered kagome metals
Authors: Shen Dawei , Yang Yichen , Cho Soohyun , Li Tongrui , Liu Xiangqi , Liu Zhengtai , Jiang Zhicheng , Ding Jianyang , Xia Wei , Tao Zicheng , Liu Jiayu , Jing Wenchuan , Huang Yu , Shi Yuming , Huh Soonsang , Kondo Takeshi , Sun Zhe , Liu Jishan , Ye Mao , Wang Yilin , Guo Yanfeng 
Published: February 2024

Abstract

The charge density wave (CDW), as a hallmark of vanadium-based kagome superconductor AV3Sb5 (A = K, Rb, Cs), has attracted intensive attention. However, the fundamental controversy regarding the underlying mechanism of CDW therein persists. Recently, the vanadium-based bi-layered kagome metal ScV6Sn6, reported to exhibit a long-range charge order below 94 K, has emerged as a promising candidate to further clarify this core issue. Here, employing micro-focusing angle-resolved photoemission spectroscopy (µ-ARPES) and first-principles calculations, we systematically studied the unique CDW order in vanadium-based bi-layered kagome metals by comparing ScV6Sn6 with its isostructural counterpart YV6Sn6, which lacks a CDW ground state. Combining ARPES data and the corresponding joint density of states (DOS), we suggest that the VHS nesting mechanism might be invalid in these materials. Besides, in ScV6Sn6, we identified multiple hybridization energy gaps resulting from CDW-induced band folding, along with an anomalous band dispersion, implying a potential electron-phonon coupling driven mechanism underlying the formation of the CDW order. Our finding not only comprehensively maps the electronic structure of V-based bi-layer kagome metals but also provide constructive experimental evidence for the unique origin of CDW in this system.
The Studying of high-temperature deformation mechanism in a new light-weight high-strength HEAs from the view of internal fricition
Authors: wang kan , Chen Qingjun , Ji Li. , Cui Xia , Deng Cuizhen 
Published: February 2024

Abstract

The BCC high entropy alloy (HEA) has always been considered a promising material for high temperatures, and a novel BCC HEA was developed in this study. The precipitation of a second HCP phase in the grain during the warming process is responsible for the alloy's characteristic high temperature strength. The dynamic modulus of the alloy increased continuously above 550°C, while its internal friction peak exhibited the typical signature of a grain boundary peak. Annealing at 800°C for 3 hours has the potential to slightly enhance ductility and reduce room temperature compression strength to a limited extent. It is believed that the initial decrease and subsequent increase in dynamic modulus can be attributed to the combination of second phase precipitation and thermal relaxation. The TEM and fracture SEM analysis of heat-treated specimens revealed that the modification of high temperature hardening and ductility was attributed to the second phase, which impedes the dislocation's movement.
Hormonal Differences in Perpetrators of intimate partner violence
Authors: Cantos Arthur , Ontiveros Gabriela , Dearth Robert , O'Leary k. Daniel 
Published: February 2024

Abstract

Objective
In order to gain a better understanding of the individual and joint impact of testosterone and cortisol on behavior, the present study was developed to test the differences in each hormone alone and conjointly between perpetrators of IPV and non-violent controls.
Method
Perpetrators of IPV on probation were compared to a control group of non-aggressive males from Hidalgo County in the Rio Grande Valley on baseline testosterone and cortisol, as well as several relevant questionnaires measuring aggression and trait anger. Differences in cortisol following exposure to a stressful event were also examined. Procedures included two laboratory visits consisting of questionnaires, a number of salivary testosterone and cortisol collections, and exposure to a stressor.
Results
Perpetrators had higher basal testosterone and post stressor cortisol levels than non-violent controls as well as a higher T/C ratio. In addition, trait anger moderated the relationship between both testosterone alone, and the testosterone/cortisol ratio and perpetration of IPV.
Conclusion
Results are consistent with the hypothesis that testosterone leads to antisocial behavior, including perpetration of violence. The results are also consistent with the dual hormone hypothesis, i.e., that testosterone and cortisol work together to jointly regulate social dominance and aggression. Both the increased freestanding testosterone and the increased cortisol following exposure to stress places these men at risk for perpetrating violence. Clinical implications are discussed.
Machine learning screening for molecular subtyping of Alzheimer's disease based on pyroptosis-related genes
Authors: Hu Baibo , Bai Yujie , Gao Wei 
Published: February 2024

Abstract

The aim of the present research was to find the Alzheimer's disease (AD) disease characteristic genes (DCGs) by machine learning algorithms, and constructed and verified the nomogram model of AD based on DCGs. In this study, Gene Expression Omnibus (GEO) database GSE132903 dataset was initially downloaded and sorted out a gene expression matrix for AD. Subsequently, through differential analysis of the gene expression matrix, We discovered 34 DE-PRGs, or differentially expressed pyroptosis-related genes. The expression levels of DE-PRGs in people with Alzheimer's were correlated using correlation analysis, we have gained insights into the interconnected regulatory dynamics among these DE-PRGs. On top of that, we classified the 97 AD samples into two molecular subtypes using cluster analysis based on the expression patterns of 34 DE-PRGs. We created the extreme gradient boosting (XGB), support vector machine (SVM), random forest (RF), and generalised linear model (GLM) models based on the expression features of these DE-PRGs to further select them as having high diagnostic value. In order to forecast illness risk, the SVM model was used and a nomogram was constructed to evaluate its predictive accuracy. Moreover, we validated the diagnostic performance of the model for predicting AD by calibrating the curve, decision curve analysis (DCA) curve, and independent validation dataset GSE5281. Together, our findings may provide new insights into risk prediction, early diagnosis, and targeted therapy for AD in the population.
Accurate Estimation for State of Charge (SoC) using different topologies of LSTM
Authors: Hassan Fehr , El-Bably Mohamed , Mubarak Roaa I. 
Published: February 2024

Abstract
For the best charge control of batteries and the forecast of operation range of electric vehicle, accurate estimation State of Charge (SoC) is a need. The accuracy of SoC estimation has a direct impact on these cars' operating range and safety. Accurate SoC estimation becomes a challenge due to environmental alterations, change in temperatures, and interference of electromagnetic fields. There are a lot of technologies depends on Machine Learning (ML) and Artificial Neural Network (ANN), the proposed model is using two cascaded Long Short-Term Memories (LSTM) networks that reduced the Mean Square Error (MSE). There are other models have been simulated such as Nonlinear Auto Regressive models with Exogenous input neural network (NARX) with LSTM, and a standard Long Short-Term Memories (LSTM). The proposed algorithm has reduced the error compared to a LSTM by 55% and has reduced the error compared to NARX with LSTM by 12%.
A hybrid approach for gearbox fault diagnosis based on deep learning techniques
Authors: Bessaoudi Mokrane , Habbouche Houssem , Benkedjouh Tarak , Mesloub Ammar 
Published: February 2024

Abstract

Faults identification plays a vital role in improving the safety and reliability of industrial machinery. Deep learning has stepped into the scene as a promising approach for detecting faults, showcasing impressive performance in this regard. However, challenges such as noise and variable working conditions often limit the effectiveness of these approaches. This study addresses these limitations by employing a combination of signal processing methods and neural networks. Specifically, the proposed methodology incorporates maximum overlapping discrete wavelet packet decomposition (MODWPD) for raw vibratory signal, mel frequency cepstral coefficient mapping (MFCC) for time-frequency feature extraction, and a fusion of bidirectional long and short-term memory network with convolutional neural networks (CNN-BiLSTM) to capture local features and temporal dependencies in sequential data. The evaluation is conducted using two diverse experimental datasets, PHM2009 for mixed defects and Case Western Reserve University (CWRU) for bearing faults, under unexpected operating conditions. The proposed method is rigorously tested through stratified K-fold cross-validation, demonstrating superior performance compared to a leading state-of-the-art model.
Assessing the Growth, Yield, and Biochemical Composition of Greenhouse Cherry Tomatoes with Special Emphasis on the Progressive Growth Report (PGR).
Authors: Arshad Adnan , Drăghici Elena Maria , Jerca Ionuț Ovidiu , Sovorn Chan , Ali Baber 
Published: February 2024

Abstract

The growth of plants is intricately influenced by interconnected biochemical and physiological activities throughout different phases, in response to environmental conditions. This study exploresthe impact of greenhouse climate on the growth, yield, and biochemistry of winter-grown cherry tomatoes (Cheramy F1). Climatic conditions ranged from a minimum of 10.5°C to the highest of 41.3°C (average 21.22°C) temperature during the vegetative stage and from 8.2°C to 32.3°C (average 20.89 °C) during the fruit-bearing stage, with an average CO2 concentration fluctuated within the range of 385.61 ppm to 510.30 ppm and an average light intensity of 94.62 to 240.45 W/m². W/m². This study assessed various growth parameters, such as plant Height, leaf growth, stem diameter, leaf spacing, leaf count, leaf area, and inflorescence count per plant. The key results of this study revealed the Progressive Growth Report (PGR), predicting daily potential growth. Rates: plant height (2.86 to 3.81 cm/day), mature old leaf growth (0.003988 m2/day), middle younger leaf growth (0.008733 m2/day), top nascent leaf growth (0.010722 m2/day), three to five leaves per week and one inflorescence per week. Additionally, accidental observations were noted. unusual plant growth and yield responses due to varied plant postures in the greenhouse. A non-significant interaction was found between fruit keeping quality (Shelf days), fruit height, fruit diameter, and inflorescence number. The results of this study offer valuable insights for optimizing greenhouse operations, aiming to improve cherry tomato yields and quality while fostering environmental sustainability. An analysis of variance was used to statistically analyze the presented results at a confidence level of p < 0.05.
Atopi̇c Dermati̇ti̇s as a Cause of Impari̇ed Quali̇ty of Li̇fe İn Chi̇ldren and Maternal Anxi̇ety and Depressi̇on Symptoms
Authors: tunca seda , Yilmaz Ozge , Alkin Tunç , Yuksel Hasan 
Published: February 2024

Abstract
Aim: Atopic dermatitis (AD), a chronic inflammatory skin condition which can cause severe psychosocial problems. We aimed to assess the connection between qaulity of life in children wiith atopic dermatitis and maternal anxiety and depression symptoms.
Methods: This study was prospective and was conducted at our Pediatric Allergy outpatient department. Atopic dermatitis severity was assessed using the SCORAD score. The mothers were asked to fill in the State-Trait Anxiety Scales (STAI-1, STAI-2) and Beck Depression Scale during the outpatient visit for the child. For children unders four years of age, the mothers were asked to fill in the 10 item infant dermatitis quality of life (IDQL) questionnaire. For children aged four and older, one of the researcher assisted the child to fill in the 10 item quality of life scale (CDLQI). At one-month follow-up, STAI-1 and STAI-2 and Beck Depression Scale were administered again as well as the IDQL or CDLQI depending on the age of the child. .
Results: 90 mother-child pairs were enrolled. According to the SCORAD index, at enrollement 10 cildren had mild, 62 chldren had moderate and 18 children had severe disease and this regressed to mild disease for all children at one-month follow up. (p<0.001). According to the SCORAD index, there was a significant relationship between the quality of life of children and their mothers' depression evaluations. According to the Beck Depression Scale, 69 mothers had minimal and 11 mothers had mild, depression whil 1 had severe depression. With the improvement of the SCORAD index, a significant improvement was observed in the maternal Beck Depression Scale score. Similarly, STAI-1 and STAI-2 scores alse improved (p<0.001)
Conclusion: Both the quality of life scores of the chldren and maternal anxiety and depression scores are associatd with disease severity.
Water electrolysis technologies in the future – projection of environmental impacts and levelized costs until 2045
Authors: Koj Jan Christian , Zapp Petra , Wieland Christoph , Görner Klaus , Kuckshinrichs Wilhelm 
Published: February 2024

Abstract

Background
To limit climate change and reduce further harmful environmental impacts the reduction and substitution of fossil energy carriers is a main challenge for the next decades. Recently, during the United Nations Climate Change Conference COP28, the participants agreed on the beginning of the end of the fossil fuel era. Hydrogen, when produced using renewable energy, can be a substitute for fossil fuel carriers and enables the storage of the renewable energy, leading into a post-fossil age. This paper presents environmental impacts as well as levelized costs along the life cycle of water electrolysis technologies for hydrogen production.
Methods
The applied methodological approaches are Life Cycle Assessment (LCA) and Life Cycle Costing (LCC), both life cycle-oriented and based on consistent data sources and detailed assessments of prospective technological developments and their effects on environmental and economic indicators. The considered technological developments include electricity and critical raw material demand decreases on the one hand and lifetime as well as electrolysis capacity increases on the other hand. The objectives of the investigations are AEC, PEMEC, and SOEC as the currently most mature water electrolysis technologies for hydrogen production.
Results
The environmental impacts and life cycle costs provoked by the hydrogen production will significantly decrease in the long term (up to 2045). For the case of Germany, worst-case climate change results for 2022 are 27.5 kg CO2eq./kg H2. Considering technological improvements, electrolysis operation with wind power and a clean heat source, a reduction to 1.33 kg CO2eq./kg H2 can be achieved by 2045 in the best-case. The electricity demand of the electrolysis technologies is the main contributor to environmental impacts and levelized costs in most considered cases.
Conclusions
A unique combination of possible technological, environmental, and economic developments in the production of green hydrogen up to the year 2045 is presented.
Based on a comprehensive literature research, several research gaps, like a combined comparison of all three technologies by LCA and LCC, were identified and research questions were posed and answered. Consequently, prospective research should not be limited to one water electrolysis but should be carried out with an openness to all three technologies. Furthermore, it is shown that data from the literature for the LCA and LCC of water electrolysis technologies differ considerably in some cases. Therefore, extensive research into the material inventories for plant construction is needed, but also into the energy and mass balances of plant operation, for a corresponding analysis. Even for today’s plants, the availability and transparency of literature data is still low and must be expanded.
Multi-compartmental diversification of neutralizing antibody lineages dissected in SARS-CoV-2 spike-immunized macaques
Authors: Mandolesi Marco , Das Hrishikesh , de Vries Liset , Yang Yiqiu , Kim Changil , Dhinakaran Manojj , Dopico Xaquin Castro , Fischbach Julian , Kim Sungyong , Guryleva Mariia , Adori Monika , Chernyshev Mark , Stålmarck Aron , Hanke Leo , McInerney Gerald , Sheward Daniel , Corcoran Martin , Hällberg Martin , Murrell Ben , Hedestam Gunilla Karlsson 
Published: February 2024

Abstract

The continued evolution of SARS-CoV-2 underscores the need to understand qualitative aspects of the humoral immune response elicited by spike immunization. Here, we combined monoclonal antibody (mAb) isolation with deep B cell receptor (BCR) repertoire sequencing of rhesus macaques immunized with prefusion-stabilized spike glycoprotein. Longitudinal tracing of spike-sorted B cell lineages in multiple immune compartments demonstrated increasing somatic hypermutation and broad dissemination of vaccine-elicited B cells in draining and non-draining lymphoid compartments, including the bone marrow, spleen and, most notably, periaortic lymph nodes. Phylogenetic analysis of spike-specific monoclonal antibody lineages identified through deep repertoire sequencing delineated extensive intra-clonal diversification that shaped neutralizing activity. Structural analysis of the spike in complex with a broadly neutralizing mAb provided a molecular basis for the observed differences in neutralization breadth between clonally related antibodies. Our findings highlight that immunization leads to extensive intra-clonal B cell evolution where members of the same lineage can both retain the original epitope specificity and evolve to recognize additional spike variants not previously encountered.
Market structure or agent rationality: How efficiency trades with belief updating?
Authors: Giachini Daniele , Mousavi Shabnam , Ottaviani Matteo 
Published: February 2024

Abstract

For the Bayesian learner, updating priors based on observation is the path that improves the beliefs and this, in turn, aﬀects the eﬃciency of prices. Or so was believed until agents with no learning advantage, that is zero-intelligence, produced near-optimal levels of eﬃciency. We design a market environment characterized by model misspeciﬁcation in which agents update their initial probabilistic guesses with increasing sophistication in incorporating observations. In this designed environment, the market pe-nalizes divergence from the truth, measured in relative entropy. We show that a non-linear U-shaped relation brings together individual rationality in learning and quality of pricing (i.e. informative eﬃciency). Eﬃciency ﬁrst takes a dip with learning sophistication, then converges toward the full information limit (i.e. Bayesian learning). We argue that the results emerge from the particular interaction of two evolutionary forces operating at diﬀerent levels: learning (individual level) and selection (market level).
JEL Classiﬁcation: C60, D53, D81, D83, G11, G12
Identification of genes asscoiated with pyroptosis in Age-related cataract of using bioinformatics analyses
Authors: Bai Mengtian , Long Bo , Qiu Yuyan , Xiao Dan , Chen Wei , Li Yun , Lin Li 
Published: February 2024

Abstract
Background: Age-related ctaract is a common and frequently occurring disease in the elderly. The pyroptosis is believed to be related to the formation of cataract, but its mechanisms still remain unclear. This study aimed to investigate how pyroptosis affects lens development and promotes the formation of age-related cataract.
Methods: We used profile of GSE161701 downloaded from the Gene Expression Omnibus (GEO)
database to compare the tissue samples of lenses from 12 chips expression profiling by high throughput sequencing of cell samples of human lens epithelial cells from wild type(WT) HLE-B3 or Atg7KO HLE-B3 cells treated with or without 200 μM H2O2 for 12 hrs(three biological replicates per group). Then, the NetworkAnalyst online tool was employed to screen for the significantly differentially expressed genes (DEGs). Gene Ontology (GO) annotation, Kyoto Encyclopedia of Genes and Genomes (KEGG) and Reactome pathway analysis were examined in DEGs by using Metascape. In addition, we applied the STRING online tool and Cytoscape software to build the protein-protein interaction (PPI) network.
Results: 6156 DEGs were filtered in total, 5196 of which were up-regulated genes, while 960 of which were down-regulated genes. we found 55 genes related to pyroptosis through previous studies. The results of GSEA showed that most of the upregulated genes and pathways were involved IL18 signaling pathway, IL2 signaling pathway, IL4 signaling pathway, Noth signaling pathway , MAPK signaling pathway, cytokines and inflammatory response, and also showed that most downregulated genes and pathways were involved FOXM1 signaling pathway, PLK1 signaling pathway. The 7 related genes of age-related cataract. Simultaneously, we searched for the DESs related pyroptosis to in the gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Within this network of PPI, we found that the interleukin-6（IL6）, tumor necrosis factor(TNF), interleukin-1A（IL1A）, interleukin-1β(IL1β), NOD-like receptor thermal protein domain associated protein 3（NLRP3）had higher connectivity degrees and may interact and influence each other.
Conclusions: The pyroptosis affected expression of various genes in human lens epithelial cells, such as IL6, TNF, IL1A, IL1β, NLRP3. These genes may have some effects on the occurrence and development of age-related cataract, and may serve as potential therapeutic targets for the treatment.