bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transcriptome analysis revealed the existence of family-specific regulation of growth traits in grass carp
Authors: Ye Weidong , Shi Mijuan , Chen Sijia , Duan You , Jiang Yanxin , Cheng Yingyin , Zhang Wanting , Wang Yaping , Xia Xiao-Qin 
Published: May 2023

Abstract
The grass carp (Ctenopharyngodon idella) is the most productive freshwater fish in the world. However, little is known about the functional genes and genetic regulatory systems that control its growth traits. In this study, we used two superior grass carp parents with fast-growing offspring and two inferior grass carp parents with slow-growing offspring to create three grass carp families, namely, the superior-superior family (SS), the inferior-inferior family (II) and the superior-inferior family (SI). The average body weight of the offspring of these families showed a stable ranking (SS > SI > II) under the satiation and starvation feeding modes. Then, the transcriptomes of the brain and the hepatopancreas of grass carp with different growth rates were obtained for each family, and it was found that the number of differentially expressed genes (DEGs) in the different organs showed family specificity. The DEGs were mainly found in the hepatopancreas of SS and the whole brain of II, while they were more balanced in SI. There were 14 common DEGs among the three families, including 3 negatively correlated genes (ahsg2, lect2 and drd5) and 11 positively correlated genes (sycn, pabpc4, zgc:112294, cel, endou, ela2, prss3, zbtb41, ela3, fabp7 and endod1). Deleting ahsg2 in zebrafish significantly increased the upper limit of individual body weight during the experiment, but only slightly increased the average growth rate of the population. In addition, we analyzed the SNP in each family and preliminarily analyzed the potential genetic mechanisms of family-specific regulation of growth traits. This study revealed for the first time the family specificity of the growth regulation mechanism of grass carp at the transcriptional level, verified the function of a growth negative regulatory gene ahsg2, and further analyzed the possible molecular mechanism of growth differences among different families. This study provides new insights into the genetic regulation mechanism of grass carp growth.
Nonmonotone conjugate gradient algorithm without gradient Lipschitz continuity for nonconvex minimizations
Authors: Qin Yan , Huang Ruping , Liu Kejun , Yuan Gonglin 
Published: May 2023

Abstract
For this article, a nonmonotone nonlinear gradient method framework is designed for nonconvex optimization problems. Using two classical nonmonotone line search techniques, the global convergence is proven, and we do not need the assumption that the gradient is Lipschitz continuous. Furthermore, a specific nonlinear gradient method using the Hardmar product instead of the normal inner product is designed, which has sufficient descent features with no need for line search technology. Numerical experiments in engineering problems and colour image restoration indicate that the specific nonlinear gradient algorithm is comparable with other analogous nonlinear gradient algorithms.
Which value type promises more value in marketing communications?
Authors: Voorn R.J.J. , Veen Gerrita van der , Rompay T.J.L. van , Pruyn prof. dr. A.T.H. 
Published: May 2023

Abstract

This study is based on research focused on the importance of values in marketing communication. It looks into the effects of self-transcendent values as used by purpose brands, in comparison to self-enhancement values. In this context, values are important life goals on which the attitudes and actions of people in various situations are based. The results of an experiment (N = 1000) set up to this end show that self-transcendental values are considered to be more important than self-enhancement values. Also, the use of self-transcendental values leads, both directly and indirectly, to stronger perceived product quality, a more positive brand attitude and increased consideration to buy than the use of self-enhancement values. The indirect and positive effect of values on the dependent variables is the result of mediation through consumer brand identification. The current study complements previous research conducted into the importance of different value types in consumer behavior and provides new insights into which value type is more beneficial for purpose marketing efforts.
WITHDRAWN: Safety and probiotic properties of Weissella Strains Isolated from Spontaneous Fermented Vegetables in Shaanxi, China
Authors: Liu Chen , An Chao , Zhang Jingjing , Liu Yao , Zhang Qiwen , Ding Hao , Ma Saijian , Xue Wenjiao 
Published: May 2023

Abstract

The genus Weissella, frequently isolated from fermented foods, is the major group of Lactic acid bacteria (LAB). Numerous Weissella strains have been suggested as probiotics because of their biotechnological potential, but some of them may act as opportunistic pathogen that limit its use in food applications. This study aimed to improve the knowledge related to the exploitation of the biotechnological potential of Weissella spp by evaluating the safety and functional properties of Weissella strains isolated from Shaanxi spontaneous fermented vegetables as probiotics. In total, 9 Weissella strains were accessed for their safety and probiotic potential. The safety assessment showed that antibiotic susceptibility of 16 − 2, 38 − 3, 69 − 3, 91 − 3, 91 − 5, 104-4, 106-5 were similar or superior to the reference strain LGG. Hemolytic, and ammonia production properties were evaluated in addition. No positive results were observed. Further probiotic experiments result shown 91 − 5 performed better on survival rate in simulated gastrointestinal fluids, cell surface properties (hydrophobicity, adhesion to Caco-2), ABTS + scavenging ability, antimicrobial activity, and the cholesterol assimilation in vitro. The EPS yield of 104-4 was 35.11 ± 0.59 g/L after 48h of culture, with the MRS- sucrose (60g/L) medium, which was higher than that reported in most literature. These results provide evidence for the further use of 91 − 5 and 104-4 as a probiotic candidate for new functional food supplements. Furthermore, this study expand the theoretical basis of Weissella strains as a novel probiotic strain.
Perceived Susceptibility to Pregnancy, Contraceptive Use and Associated Factors Among College Female Students in Fitche Town, Oromia, Ethiopia, 2022
Authors: Alemu Seyoum , Sahlu Degemu , Mekuria Mulugeta 
Published: May 2023

Abstract
Background: -Women who choose not to use contraception or who use inefficient methods may be at risk of unintended pregnancy because they mistakenly assume that they will not become pregnant. Despite the wide availability and accessibility of contraceptive methods globally, their use remains low among young women in low- and middle-income countries including Ethiopia. One of the reasons young women have reported their non-use of contraceptive methods is that their perceived susceptibility to pregnancy makes them decide not to use or discontinue contraceptive methods. This study aimedto assess perceived susceptibility to pregnancy, contraceptive use, and associated factors among female college students in Fitche Town.
Methods: An institution-based cross-sectional study was conducted from March 08 to May 07/2022 among college female students in Fitche Town. A simple random sampling technique was used to select 419 participants. A pretested structured questionnaire was used to gather the data. Bivariable and multivariable logistic regression analyses were performed using SPSS version 22. Adjusted odds ratio (AOR) and P-value < 0.05, were used to assess the strength and existence of association with the outcome variable.
Results: In total, 419 respondents participated in the study making a response rate of 100%. Approximately 78% (95%CI:64.21,91.79) of the respondents had high perceived susceptibility to pregnancy, and 40.1%(95%CI:34.21,45.99) of the study participants never used contraceptives. Respondents aged 20-24 years (AOR=2.21; 95%CI: 1.19, 4.13) and the number of current sexual partners (AOR=0.041;95%CI:0.02, 0.73) were significantly associated with perceived susceptibility to pregnancy, while marital status (AOR=0.144; 95%CI:0.043, 0.488), Ever had discussed family planning with parents (AOR=7.273;95% CI:1.33,39.86) and contraceptive knowledge (AOR=13.65;95%CI: 2.38,78.21) were significantly associated with contraceptive use.
Conclusion and recommendation: The prevalence of perceived susceptibility to pregnancy was high, and contraceptive use was within the acceptable range when compared with a previous study. There should be work in the area of disseminating reproductive health information by establishing and promoting sexual and reproductive clubs in schools to increase awareness and knowledge of reproductive health and contraceptive methods.
What Primary Care mechanisms impact mortality in children under five?
Authors: de Oliveira Catia , Anjos Eduarda Ferreira dos , Martufi Valentina , de Lima Acacia Mayra Pereira , Flores-Quispe Maria Del Pilar , Santos Helena Paula Guerras dos , Luz Leandro Alves da , Vieira-Meyer Anya Pimentel Gomes Fernandes , Aquino Rosana , Ichihara Maria Yury Travassos , Barreto Mauricio Lima , Junior Elzo Pereira Pinto 
Published: May 2023

Abstract

Background
Countries with health systems centered around Primary Health Care tend to achieve better results in maternal and child health, especially in relation to lower morbimortality rates due to preventable causes and health inequalities. However, Primary Health Care is a complex, multifaceted intervention, making it fundamental to understand how its mechanisms address relevant population health outcomes. This paper seeks to identify, classify, evaluate and summarize existing evidence on Primary Health Care mechanisms that influence mortality in children under five, based on a critical realistic epistemology, to inform decision-making.
Main body
A realist, five-step synthesis was conducted to grasp such mechanisms. As the first step, a theoretical model depicting comprehensive primary health care was developed, based on the analysis of documents from Brazilian regulation on maternal and child health care. The next steps involved an article search, selection and review of relevant sources, extraction and synthesis of evidence, and, finally, the reaching of a consensus on the final theoretical model in step five, based on the evidence encountered in the selected studies.
One hundred and thirty-five studies were included, covering research in several countries, exemplifying primary health care as an effective intervention to improve children’s health in different contexts. Additionally, this review revealed that specific interventions, based on selective primary health care, are less powerful, signaling the importance of a systemic approach that acknowledges the interconnection and interaction of Primary Health Care’s multiple components. Furthermore, significant gaps in existing evidence related to specific structuring components of Primary Health Care and how they affect child health, including, but not limited to, planning and organization of services and work processes, or the referral and regulation system.
Conclusions
We envision that the results of this study may support decision-makers with a deeper understanding of Primary Health Care and how it can be most effective in the improvement of the population’s health. We recommend further studies addressing Primary Health Care as a complex and comprehensive intervention, in different contexts, specifically in relation to the components and indicators of our theoretical model.
State ordering and classification for analyzing non-sparse large Markov Models
Authors: Mohagheghi Mohammadsadegh 
Published: May 2023

Abstract
Markov chains and Markov decision processes have been widely used to model the behavior of computer systems with probabilistic aspects. Numerical and iterative methods are commonly used to analyze these models. Many efforts have been made in recent decades to improve the efficiency of these numerical methods. In this paper, focusing on Markov models with non-sparse structure, a new set of heuristics is proposed for prioritizing model states with the aim of reducing the total computation time. In these heuristics, a set of simulation runs are used for statistical analysis of the effect of each state on the required values of the other states. Under this criterion, the priority of each state in updating its values is determined. The proposed heuristics provide a state ordering that improves the value propagation among the states. The proposed methods are also extended for very large models where disk-based techniques are required to analyze the models. Experimental results show that our proposed methods in this paper reduce the running times of the iterative methods for most cases of non-sparse models.
Automated Analysis of Causal Relationships in Customer Reviews
Authors: Piriyakul Intaka , piriyakul rapepun 
Published: May 2023

Abstract

As the volume of unstructured data on social media continues to grow, it's becoming increasingly important to have a proactive marketing strategy that can extract knowledge from this data. This study explores the use of ChatGPT for detecting causal relations and analyzing significant themes in order to build models for marketing analysis. Using 400 sample reviews and contemporary techniques, a causal graph was synthesized and tested, showing good model fit. All paths in the causal network were found to be significant except for the one from "Customer experience" to "Customer Advocacy." The system identified three serial mediators: "Exceptional hospitality" ➔ "Quality lodging" ➔ "Customer experience" ➔ "Enjoyable time" ➔ "Customer Advocacy," with an effect size of 0.0106. This research highlights the potential of linguistic data for developing mathematical models in marketing research and expands the scope of scientific inquiry in this field.
A hypoxia-related five-lncRNA signature predicts osteosarcoma prognosis
Authors: Wang Xin , Bai Qian , Xin Bo , Tai Yunheng , Cai Yong , Zhang Kailiang , Zhou Yong 
Published: May 2023

Abstract
Background
Recently, several long-noncoding RNAs (lncRNAs) have been identified in hypoxia-associated cancer process including osteosarcoma (OS), enabling an adaptive survival under hypoxic stress conditions. However, hypoxia-related lncRNA signatures have rarely been reported. This study aimed to screen hypoxia-associated lncRNA signatures and assess their prognostic value in OS.
Methods
OS-related expression data were downloaded from the GEO and TARGET databases. Hypoxia-associated mRNAs were obtained from the HALLMARKHYPOXIA database. Hypoxia-associated lncRNAs were identified by correlation analysis with hypoxia-associated mRNAs. The tumor samples were clustered into different subtypes based on these lncRNAs, followed by immune microenvironment comparison. Prognostic hypoxia-associated lncRNAs were selected via univariate Cox regression analysis, and a prognostic signature was established using LASSO regression analysis. A risk score (RS) model was constructed, followed by pathway analysis, immunocorrelation analysis, and drug susceptibility prediction.
Results
Thirty hypoxia-related lncRNAs were selected. The OS samples were classified into two subtypes based on lncRNAs. Nine immune cell types showed significantly different levels of infiltration between the two subtypes. Furthermore, five prognostic hypoxia-related lncRNAs were screened out through LASSO regression analyses, and an RS model was constructed. The high- and low-risk groups showed differences in prognosis, pathway, and drug susceptibility. The present study divided OS into two subtypes. A prognostic signature was constructed based on five hypoxia-related lncRNAs.
Conclusions
The study sucessfully identifies five hypoxia-related lncRNAs and this lncRNA signature may have significant prognostic value in OS.
Deep Embedded Lightweight CNN Network for Indoor Objects Detection on FPGA
Authors: Afif Mouna , Ayachi Riadh , Yahia Said , Atri Mohamed 
Published: May 2023

Abstract

indoor objects detection and recognition present an active research axis in computer vision and artificial intelligence fields. Various deep learning-based techniques can be applied to solve the objects detection problems. With the apperance of deep convolutional neural networks (DCNN) a great breakthrough for various applications was achieved. Indoor objects detection present a primary task that can assist blind and visually impaired persons (BVI) during their navigation. However, building a reliable indoor objects detection system used for edge devices implementations still presents a serious challenge. To address this problem, we propose in this work to build an indoor objects detection system based on DCNN network. Cross-stage partial network (CSPNet) has been used for the detection process and a lightweight backbone based on EfficientNet v2was used as a network backbone. In order to ensure a lightweight implementation of the proposed work on FPGA devices, various optimizations techniques have been applied to compress the model size and reduce its computation complexity. The proposed indoor objects detection system was implemented on a Xilinx ZCU 102 board. Training and testing experiments have been conducted on the proposed indoor objects dataset that count 11000 images containing 25 landmark classes. The proposed work achieved very competitive results in terms of detection accuracy and processing time for the original CSP-EfficientNet v2 network as well as for the proposed compressed version.
UHP eclogite from western Dabie records evidence of polycyclic burial during continental subduction
Authors: Xia Bin , Shang Yunfeng , Lu Xianbin , Wu Yuanbao 
Published: May 2023

Abstract
Understanding the behavior of continental crust during subduction is important for investigating dynamic processes at convergent plate margins. Although simulations have predicted continental crust may experience multiple burial-partial exhumation cycles during subduction, petrological evidence of these cycles is scarce. In this study at Sidaohe, western Dabie, we combine microstructural observations and mineral chemistry with phase equilibrium modeling, Amp-Pl thermobarometry and Zr-in-rutile thermometry to constrain the P-T evolution for three eclogite samples. All samples have a similar mineral assemblage of garnet + omphacite + symplectite (amphibole + plagioclase ± clinopyroxene) + quartz, with accessory rutile/ilmenite. Element mapping and analytical traverses across large garnets from two samples show obviously systematic variations in Ca and, less strongly, Mg, Fe, and XMg [Mg/(Mg+Fe2+)]. Based on phase equilibrium modeling and calculated isopleths for grossular, pyrope and XMg in garnet, we show that P first increased from 23.0 to 28.5 kbar, then decreased to 24.0 kbar, before increasing again to a maximum of 30.5 kbar (±1.0 kbar, 2 sigma error) concomitant with a small increase in T from 580 to 605 °C (±20 °C, 2 sigma error) at the late prograde stage. These data are interpreted to indicate multiple burial cycles and partial exhumation of eclogite during ongoing continental subduction. After the Pmax stage, T first increased to a maximum of 664–644 °C at 25.0–20.0 kbar, then decreased to 581–561 °C (±30 °C, 2 sigma error) at 15.0–10.0 kbar based on results of Zr-in-rutile thermometry. Further decompression and cooling occurred across P-T fields of 590–567 °C at 12.0–10.0 kbar and 520–504 °C (±40 °C, 2 sigma error) at 8.0 kbar. Fine-grained symplectite (clinopyroxene + plagioclase ± amphibole) in the matrix is interpreted to have formed after omphacite due to dehydroxylation of nominally anhydrous minerals during decompression from the Pmax stage. By contrast, formation of coarse-grained symplectite (amphibole + plagioclase) and a veinlet of rutile + quartz that crosscuts one sample may be related to influx of externally sourced H2O. This study shows that: (1) evidence of cyclic burial and partial exhumation may be retained in low-T eclogite during continental subduction, and (2) fluid contributing to widespread retrogression of eclogite during exhumation may be internally and/or externally sourced.
Application of GIS and remote sensing in morphometric analysis of river basin at the south-western part of great Ganges delta, Bangladesh
Authors: Joy Md. Ashikur Rahman , Upaul Sharfan , Fatema Kaniz , Amin F. M. Rezvi 
Published: May 2023

Abstract

Analysing the morphometric parameters is the most expedient and parsimonious way of representing the hydrologic and physiographic attributes of river basins. The present study attempts to measure the morphometric parameters for assessing the understanding of morphological, hydrological, and physiographic properties of the south-western part of the Ganges delta. Parameters were analysed from Shuttle Radar Topography Mission's (SRTM) maps and total of eight linear, six areal, eight relief, and five drainage texture parameters have taken with hypsometric analysis for the four major rivers and two tributary river basins. The values of linear parameter denote that most of the streams (82%) fall in first order, and other orders have homogeneous underline materials. The aerial parameters represent low peak discharge and the upper region is less vulnerable to flood. The relief parameter values show that the entire basin has low surface runoff and they are less erosional (slope &lt; 3.97°). The drainage density indicates the coarser nature and circularity ratio (0.08) represents the elongated shape. The southern portion of the basin has a greater flood potential and hypsometric index (0.49) shows the entire basin is in mature stage of formation. These results would be helpful for reckoning the watersheds for drainage management and environmental planning for ecological management and sustainable development.
The relational factors in managing rural water supply in Punjab, Pakistan
Authors: Waheed Seemi , Azhar Aisha , Sial Maqbool Hussain , Faran Muhammad 
Published: May 2023

AbstractThe Punjab Public Health Engineering Department (PHED) and community-based organizations (CBOs) collaboratively manage the rural water supply (RWS) system in Punjab, Pakistan since the mid-nineties. In a command-and-control administration, a collaborative approach to managing RWS is atypical. The study addresses this gap by analyzing the relational behavior as a monitoring and enforcement mechanism to ensure community compliance with government-produced institutions for managing RWS. Four focus group interviews were conducted with the CBO members and the survey of households from the same villages. Using the partial-least square structural equation model (PLS-SEM), the mediating influence of frequent communication, commitment of users, and shared meaning on community compliance with institutions was analyzed. The integrated results from the two methods imply that trained CBOs better self-organize, as they communicate frequently with the community members. It is recommended that for the sustainability of the RWS system, regular government support for CBOs underscores the success of collaborative collective action, though trained CBOs better manage RWS in weak monitoring by the government.