bluuebunny/crossref_metadata_2025_split huggingface dataset:
Durable superhydrophobic cotton fabrics with electromagnetic wave absorption based on MoS2 /RGO composites
Authors: Cai Yangfang , Xu Lihui , Pan Hong , Zhao Hong , Yao Chengjian , Yang Qun , Shen Yong , Wang Liming , Dou Meiran , Teng Yi , Zhang Yingxiu , Hu Lei , Wang Yihong 
Published: March 2024

Abstract

Durable superhydrophobic fabrics with electromagnetic wave absorption were highly valuable in practical applications. In this work, durable superhydrophobic cotton fabrics with electromagnetic wave absorption were successfully prepared by modifying the cotton fabrics with polydopamine (PDA) and then depositing MoS2/RGO (MR) composites and polydimethylsiloxane (PDMS). The surface morphology, crystal structure, and thermal degradation properties of the obtained products were estimated. The PDA modification enhanced the affinity and adsorption saturation between the fabrics and the MR composites. Here, the MR composites provided the fabrics with wave-absorbing components and rough micro/nanostructure, and the PDMS offered lower surface energy for the treated fabrics. Utimately, the water contact angle (WCA) of the obtained cotton fabrics could reach 157.2±0.4 ° and the minimum reflection loss (RLmin) was -45.3 dB at 11.1 GHz, which showed excellent superhydrophobicity and microwave absorption properties. In addition, the obtained cotton fabrics displayed excellent robustness against rubbing and bending and satisfactory chemical stability. This research showed promising prospects for the development of wearable materials with durable electromagnetic wave absorption.
Assessing Methane Emissions from Paddy Fields Through Environmental and UAV Remote Sensing Variables
Authors: Velez Andres Felipe , Alvarez-Mendoza Cesar I. , Navarro Fabian , Guzman Diego , Bohorquez Martha Patricia , Selvaraj Michael Gomez , Ishitani Manabu 
Published: March 2024

Abstract

Concerns about methane (CH4) emissions from rice, a staple sustaining over 3.5 billion people globally, are heightened due to its status as the second-largest contributor to greenhouse gases, driving climate change. Accurate quantification of CH4 emissions from rice fields is crucial for understanding gas concentrations. Leveraging technological advancements, we present a groundbreaking solution that integrates machine learning and remote sensing data, challenging traditional closed chamber methods. To achieve this, our methodology involves extensive data collection using drones equipped with a Micasense Altum camera and ground sensors, effectively reducing reliance on labor-intensive and costly field sampling. In this experimental project, our research delves into the intricate relationship between environmental variables, such as soil conditions and weather patterns, and CH4 emissions. Utilizing unmanned aerial vehicles (UAV) and evaluating over 20 regression models, we achieved remarkable results, emphasizing an R2 value of 0.98 and 0.95 for the training and testing data, respectively. This outcome designates the Random Forest regressor as the most suitable model with superior predictive capabilities. Notably, phosphorus, GRVI median, and cumulative soil and water temperature emerged as the fittest variables for predicting these values in the model. Our findings underscore an innovative, cost-effective, and efficient alternative for quantifying CH4 emissions, marking a significant advancement in the technology-driven approach to evaluating rice growth parameters and vegetation indices, providing valuable insights for advancing gas emissions studies in rice paddies.
In Silico Protein Investigation and Correlation Analysis of Growth Hormone Gene and Growth Traits in European Sea Bass (Dicentrarchus labrax)
Authors: Özcan-Gökçek Emel , Işık Raziye , Karahan Bilge , Gamsız Kutsal , Sürmeli Yusuf 
Published: March 2024

Abstract
The growth hormone (GH) gene plays a regulatory role in postnatal somatic growth, metabolism, and development in vertebrates and fish. The genetic variations in a partial region of the GH gene and its associations with growth traits were studied using DNA sequencing in 200 European sea bass (Dicentrarchus labrax) individuals. We identified 5 haplotypes (HAP1-5) and 10 novel SNPs (g.1557 A > T, g.1611 T > C, g.1663 C > G, g.1799 T > C, g.1824 T > C, g.1912 T > A, and g.2052 G > C) in the GH gene in European sea bass. The genotypes of g.1611 T > C locus of the GH gene were found to be significantly associated with total weight, filet weight, and head length). The association between the GH g.1557A > T genotypes and preanal and abdominal length was statistically significant (p < 0.05). Similarly, the genotypes of g.1857 C > T loci having the synonymous mutation in phenylalanine amino acid were significantly associated with standard length (p < 0.05). HAP4 reported the highest weight and length traits than the other haplotypes (p < 0.05). It is suggested that HAP4 should be used as a potential marker to improve the accuracy of selection in European sea bass in Mediterranean conditions.
Chickpea production restored through upscaling crowdsourcing winner varieties and planting date adjustments in the Ada’a district, East Shoa zone, Ethiopia
Authors: Mengistu Dejene K. , Terefe Hailu , Teshome Tadesse , Garamu Talila , Lakew Basazen Fantahun , Fadda Carlo 
Published: March 2024

Abstract

Chickpea is an important cash crop for Ada’a farmers as it does for farmers in Ethiopia and elsewhere in the world. Its production, however, has been dwindling due to biotic and abiotic stresses. According to participant farmers from Ada’a district, the production of chickpea in some Kebeles of Ada’a such as Gubasaye has been abandoned because of root rot and foliar diseases such as fusarium wilt. This paper presents the evaluation of upscaled varieties' performance assessed by metric data as well as through beneficiary farmers' self-assessment data. Recognizant to the problem, five varieties of chickpea tested in the Goro district of the Southwest Shoa zone, were introduced as part of the upscaling of crowdsourcing winner crop varieties in Ethiopia. The introduction of the winner varieties and adjustment of the planting time was found effective in the Ada’a district. Higher grain yield was obtained from the upscaled winner varieties in the range of 2.4–2.53 t/ha, with slight variations over varieties. Habru variety showed slightly higher performance than the others. Survey participant farmers have reported an increase in GY due to growing the winner varieties compared with varieties they used to grow before and gained higher annual income due to higher productivity, marker demand of the upscaled varieties, and premium market price with 6–25 Ethiopian birr (ETB) per kilogram of sold grain of these varieties. High productivity is attributed to the genetic potential of the varieties, their response to farm management, and better adaptation to the local growing conditions. Participant farmers perceived that their livelihood has been improving because of the adoption of the upscaled varieties' productivity and market demand. The annual income of participant farmers is estimated to be 2500 to 181,000 ETB for growing the winner varieties. The results indicate that upscaling pre-tested chickpea varieties and delaying their planting time to early September are effective mechanisms for reducing yield loss to fusarium wilt and root rot diseases. It can be inferred that using the crowdsourcing approach for variety evaluation and selection for upscaling is a robust approach to improve the adoption and dissemination of improved agricultural technologies.
Semantic Enrichment of Data through Knowledge Graph Generation
Authors: Sundaram Shyam , Khalaf Osamah Ibrahim , Regunathan Rajeshkannan , Rajasekaran Rajkumar , verma Animesh , Fuladi Siddhesh , Balaji Prateek , Algburi Sameer , Hamam Habib 
Published: March 2024

Abstract

As the Python ecosystem grows, developers encounter a daunting range of open-source packages, often leading to analysis paralysis. A Python Pip package recommender system is proposed that employs a knowledge network and Natural language processing to make customized suggestions, addressing this problem. The study introduces a system to simplify package selection and enhance developer efficiency.The approach relies on a detailed knowledge tree that explains Python package-function relationships. Important features and dependencies are identified by carefully evaluating package information and documentation, resulting in a well-structured network of package interdependencies. The recommendation engine relies on this graph to personalize suggestions based on the user's project needs.The system employs multiple methods to analyze user input and identify project needs using natural language processing. Entity recognition and sentiment analysis are used to understand user intent and goals to make better suggestions. The NLP component dynamically integrates user feedback to improve suggestions and enhance system precision.The system utilizes Python modules like NetworkX for knowledge graph creation, Natural Language Toolkit(NLTK) for NLP processing, and Fast for the web interface. A user-friendly web application allows developers to enter project details and receive Python application recommendations.To evaluate the system's effectiveness, automated testing and user feedback are used. Recommendations are compared against carefully curated package lists for various project categories to assess their accuracy. User happiness is measured by providing extensive input on usability, suggestion quality, and user experience.Finally, the Python Pip package recommender system offers a novel way to enhance developer productivity. Developers are provided with an efficient and accurate package discovery and selection mechanism using a knowledge graph and NLP. The aim is to improve software quality and facilitate Python package adoption with the system.
Genome-wide Scans Reveal Selection Signatures and Cross- Population Variation in South African and European Beef Cattle Breeds
Authors: Modiba Mamokoma Cathrine , Magoro Aletta Matshidiso , Nephawe Khathutshelo Agree , Ngcobo Jabulani Nkululeko , Hadebe Khanyisile , Mpofu Takalani Judas , Teske Peter R. , Mtileni Bohani 
Published: March 2024

Abstract

Background
In genetics and evolutionary biology, the concept of selection signatures is used to describe specific patterns in the genome that are associated with the process of natural selection. This natural selection can leave distinct genetic footprints of signatures, such as changes in allele frequencies, the presence of specific mutations, or patterns of genetic variation. Selection signatures provide information about the evolutionary forces that have shaped a population over time.
Methods
In this study, a total of 96 samples from four different cattle breeds, namely Nguni (n = 28), Bonsmara (n = 21), Angus (n = 22), and Simmental (n = 25) were subjected to quality control, following quality control, a total of 105,675 SNPs from 73 individuals remained for further analysis. Genomic signatures of positive selection within each breed were identified using the Integrated Haplotype Score (iHS) method, and cross-population comparison analysis was conducted using XP-EHH, Rsb, and Fst methods to assess the genetic differences between breeds.
Results
For the iHS analyses of individual breeds, two genomic regions identified signatures of selection for Bonsmara, six for Simmental, four for Nguni, and one for Angus. Ten regions were identified as being under selection, with BTA 12 shared between Nguni and Bonsmara. Cross-population comparisons using XP-EHH, Rsb, and FST methods revealed specific genomic regions differentially selected between breeds. Gene annotation analyses revealed candidate genes associated with several Quantitative Trait Loci (QTL). For instance, in Simmental cattle, the gene FAM110B was associated with carcass weight and body confirmation score. Bonsmara cattle had fewer candidate genes, including CDK8 and FLT1, while Angus revealed no candidate genes on BTA 18. Nguni cattle revealed the following candidate genes CRB1, PLAG2GA, and VASH2, with CDK8 shared between Bonsmara and Nguni on BTA 12. Cross population comparisons further revealed candidate genes associated with specific traits. For Bonsmara vs Nguni, genes including PLCXD3, FAM149B1, and GRIK2 were identified, whereas, for Simmental vs Angus, SLIT2 and TSPAN9 genes were identified. Furthermore, the study highlighted gene functions, revealing associations with meat quality traits, reproduction, health, diseases, fertility, and body conformation score. Gene interaction analysis using the STRING database identified a network of 63 candidate genes, revealing the structure of genetic interactions. Some genes had multiple functions, indicating multiple roles in various biological processes.
Conclusion
This extensive genomic study can assist in highlighting the importance of the genetic background of breed-specific traits, and in this way contributes to selective breeding and trait improvement in cattle populations.
Muscle Quality Index Comparisons Between Hispanics and Non-hispanic Caucasians Using Dual Energy X-ray Absorptiometry and Handgrip Strength
Authors: Nickerson Brett , Mehra Ayush , Snarr Ronald , Park Kyung-Shin , Czerwinski Stefan 
Published: March 2024

Abstract
Background & Aims: Muscle quality index (MQI) can be computed in various ways. Also, many studies have evaluated MQI in older adults and non-Hispanic populations. The aim of this study was to compare various muscle quality indexes between Hispanics and non-Hispanic Caucasians when stratifying grip strength and appendicular lean mass measurements.
Methods: 235 participants (aged 25.5±9.5 for males and 26.4±9.9 for females) completed a DXA scan to assess appendicular lean mass (ALM). Handgrip strength (HGS) was assessed using a handheld dynamometer. MQI was computed using four different models: 1). MQIRA: ALM and HGS of right arm and hand, respectively; 2). MQILA: ALM and HGS of left arm and hand, respectively; 3). MQIARMS: ALM and HGS of both arms and hands, respectively; and 4). MQITOTAL: ALM of upper and lower-limbs and HGS of left and right hand.
Results: Hispanic males and females exhibited lower HGS compared to Caucasians with effect sizes ranging from trivial (d=0.17) to moderate (d=0.80). Females demonstrated higher MQI values compared to males for MQIARMS (d=0.69), MQIRA (d=0.75), and MQILA (d=0.57). However, MQITOTAL yielded a small practical effect (d=0.33) in favor of males (3.2±0.5 kg/kg vs. 3.1±0.5 kg/kg). After factoring by sex and ethnicity, Hispanic males and females, compared to non-Hispanic Caucasians males and females, showed trivial-to-small practical differences (d values ranging from 0.03 to 0.39).
Conclusions: These results demonstrate MQI models vary across sex, particularly when utilizing models that account for upper extremity strength and ALM (i.e., MQIARMS, MQIRA, and MQILA). Lastly, to establish consistency in future research, the present study recommends using MQI models that account for ALM of upper- and lower-limbs (i.e., MQITOTAL). However, research measuring muscular strength via one upper-limb (e.g., left hand) might consider measuring ALM of the corresponding arm (e.g., left arm) when computing muscle quality (e.g., MQILA).
The prognostic significance of FoxM1 and its immune regulatory function in Liver Hepatocellular Carcinoma
Authors: Li Changyou , Qi Yao , Chen Cunhai , Bu Xiaocui , Ma Xuezhen , Zhao Peng 
Published: March 2024

Abstract
Liver hepatocellular carcinoma (LIHC) is one of the most common malignant tumors in the world with a poor prognosis. FoxM1, a known transcription factor, plays a principal role in the progression and development of multiple tumors. However, the relationships between FoxM1 expression, tumor immunity, and prognosis in LIHC remain unclear. Here we investigated the expression of FoxM1, its prognostic value and immune cell infiltration in LIHC via Oncomine, TIMER, GEPIA, HCCDB and Kaplan-Meier plotter databases. FoxM1 expression was significantly higher in LIHC and correlated with tumor stage, grade, and TP53 mutation status. The high expression of FoxM1 was related to the poor prognosis of LIHC patients, which was influenced by the abundance of immune infiltrates including B cells, CD4+T cells, CD8+T cells and Tregs. FoxM1 showed strong correlations with the infiltrating levels of different immune cell subtypes including B cells, CD8+ T cells, CD4+ T cells, macrophages, neutrophils and dendritic cells. FoxM1 expression was also significantly positively correlated with the expression of immune checkpoint molecules such as PD-1, CTLA-4, LAG3 and HAVCR2. What’s more, we found that inhibition of FoxM1 enhanced T-cell-mediated cytotoxicity against liver cancer cells via modulating PD-L1 expression. In conclusion, our results demonstrated that FoxM1 could be a potential prognostic target involved in its immune regulatory function in LIHC.
Higher Charlson Comorbidity Index is Associated with Increased Risk of Erectile Dysfunction: Evidence from NHANES Data
Authors: Xie Ruoyun , Chen Xiaobao , Liu Binhong , Zhou Junkai , Jiang Wei , lin Junwei 
Published: March 2024

Abstract

Background The Charlson Comorbidity Index (CCI) is a tool used to assess the presence and severity of various coexisting conditions in an individual, providing a predictive value for mortality. However, the relationship between CCI and Erectile Dysfunction (ED) has not been clearly established. The aim of this study was to investigate the association between CCI and ED, with the goal of offering valuable insights to improve the quality of life.Methods We used data from the National Health and Nutrition Examination Survey (NHANES) to explore the association between CCI and ED. The primary statistical methods employed included weighted multivariate regression analyses, subgroup analyses, restricted cubic spline (RCS) analyses, and propensity score matching (PSM) analyses.Results Out of the 2295 adults that participated in this study, 863 (37.6%) were diagnosed with ED. The results of weighted multivariate regression analyses demonstrated a positive correlation between the CCI and the incidence of ED. For each additional point on the CCI, the risk of ED increased by 32% (OR 1.32, 95% CI 1.18–1.47). When the CCI was divided into two groups (CCI = 0 and CCI > = 1), the risk of ED significantly increased, particularly for those with CCI > = 1, indicating a 122% higher risk of ED compared to those with CCI = 0 (OR 2.22, 95% CI 1.62–3.05). Sensitivity analyses such as subgroup analyses and PSM confirmed the robust positive correlation between CCI and ED.Conclusion Our study suggests that a higher CCI is positively correlated with an increased risk of ED, and decreasing CCI can help reduce the risk of ED.
Inhibition of phosphodiesterase 10A by MP-10 rescues behavioral deficits and normalizes microglial morphology and synaptic pruning in a mouse model of FOXP1 syndrome
Authors: Froehlich Henning , Wang Jing , Althammer Ferdinand , Schubert Tim , Kluck Nina , Grinevich Valery , Schmitteckert Stefanie , Schaaf Christian , Rappold Gudrun 
Published: March 2024

Abstract

FOXP1 syndrome is caused by FOXP1 haploinsufficiency and characterized by intellectual disability, speech and language impairment, autistic features and neuropsychiatric abnormalities such as anxiety and hyperactivity. Behavioral changes of respective patients are mirrored in Foxp1+/− mice. In this report, we demonstrate that decreased levels of Foxp1 in the Foxp1+/− striatum result in a significant decrease in phosphodiesterase 10a (Pde10a). Predominantly expressed in medium spiny neurons, Pde10a is involved in basal ganglia circuitry and cyclic nucleotide signalling. We also observed microglial activation and reduced synaptic pruning in the striatum of Foxp1+/− mice accompanied by an overexpression of inflammatory and microglia-associated genes (Rhoa, Cd74, Ifi30 and Fcgr2b). This suggests that neuroinflammation contributes to the observed cognitive and behavioral deficits. Interestingly, treatment of Foxp1+/− mice with the specific PDE10A/Pde10a antagonist MP-10 (PF-2545920) immediately after birth not only corrected the behavioral abnormalities, including decreased ultrasonic vocalization, hyperactivity, and increased anxiety but also normalized the changes in microglial morphology and synaptic pruning. Since FOXP1 and its signaling pathway are highly conserved, we hypothesize that administration of MP-10 or other Pde10a antagonists may also alleviate the neurological dysfunction seen in humans with FOXP1 syndrome. We also discuss how altered FOXP1 expression may be responsible for the reduced PDE10A levels in Huntington’s disease.
Hollow carbon fiber wrapped by regular rGO wave-like folds for efficient solar driven interfacial water steam generation
Authors: Yang Jie , Liu Peiqi , Fan Zhiyuan , Li Yingying , Qiao Hong-tao , Xu Xingyu , Han Sheng , Suo Xidong 
Published: March 2024

Abstract

Fresh water is an indispensable precious resource for human and industrial development. Although about 71% surface of the Earth is covered by seawater, many people, especially for remote areas, still suffer from water scarcity. Efficient seawater desalination is an effective way to solve the shortages of fresh water and energy. In this paper, hollow carbon fiber (HCF) wrapped by regular reduced graphene oxide (rGO) wave-like folds (rGO@HCF) is prepared according to the differences in thermal shrinkage performance between graphene oxide (GO) and willow catkins fiber (WCF). Under one sun light irradiation (1 kW m− 2), the dry surface temperature and wet surface temperature of the resulting evaporator reached up to 119.1 ℃ and 61.7 ℃, respectively, and the water steam production rate reached 3.42 kg m− 2 h− 1. Also, for the outdoor experiment, the rGO@HCF exhibits good evaporator performance which reach up 27.8 kg m− 2 day− 1. Additionally, rGO@HCF not only shows good seawater desalination performance, but also shows excellent durability for longtime work of the outdoor. This research results not only provide a new method for fiber-like agricultural or forestry by-products utilization, but also provide necessary theoretical basis for the surface structure modification of carbon fiber.