bluuebunny/crossref_metadata_2025_split huggingface dataset:
6-benzylaminopurine induces somatic embryogenesis in staminodia of new genotypes of Theobroma cacao L. from the Papaloapan Basin of Mexico and reveals differences with T. bicolor Bonpl.
Authors: Martínez-Hernández Nancy Carmín , Dávila-Figueroa Carlos Antonio , Morales-Serna José Antonio , Castro-Cerritos Karla Viridiana , Martínez-Galero Nelda Xanath , López-Arjona Héctor , VILLALOBOS-AMADOR ENRIQUE 
Published: January 2024

Abstract
Theobroma cacao and T. bicolor belongs to most important agricultural crops of the Mexican tropics. Currently, propagation of these crops is carried out by seed, which means that demand exceeds production. In this context, somatic embryogenesis is an alternative to this isues. Thus, we evaluated the presence of embryogenic genotypes of T. cacao and T. bicolor in the Papaloapan Basin of Mexico with the idea of implementing this technology in the region. The analysis of the phenotypic expression of the floral whorls revealed that 6-benzylaminopurine in combination with 2,4-dichlorophenoxyacetic acid, induces different morphogenetic responses of the genotypes evaluated in the primary callus phase of T. cacao, unlike T. bicolor. The staminodia presented the highest percentage of caulogenesis in T. cacao, while T. bicolor presented the highest frequency of caulogenesis in staminodia and carpels. Some calli differentiated in the root, being to a greater extent those derived from staminodes of T. cacao. The calli of T. bicolor did not differentiate. A parallel study using thidiazuron as an inducer revealed a similar behavior in obtaining callus in both species, however the rhizogenesis from staminodes was 50% lower in the evaluated genotypes of T. cacao. Staminodes were the only ones that presented primary somatic embryogenesis in 66% of the T. cacao genotypes evaluated using benzylaminopurine. Finally, the secondary somatic embryogenesis was evaluated from cotyledons, reaching a 60% success rate, of which 95.48% were normal somatic embryos. Both types of embryogenesis were characterized morphologically using optical and/or scanning electron microscopy.
Unraveling the Causal Nexus Between Reproductive Characteristics and Non-Alcoholic Fatty Liver Disease
Authors: Yang Heng , Chen Qiaoxia , Liu Xue , Jiang Xuemei , Cui Yishun 
Published: January 2024

Abstract

Background and Aim
Non-alcoholic fatty liver disease (NAFLD), a prevalent global health concern, stems from intricate interactions between genetic and environmental factors. The primary aim of this study is to employs Mendelian randomization (MR) to investigate the causal relationship between key female reproductive characteristics—age at first birth (AFB), age at first sexual intercourse (AFS), and age at menarche (AAM)—and the risk of NAFLD.
Methods:
Genome-wide association data on AFB, AFS, AAM, and NAFLD were pooled for two-sample MR analysis. Instrumental variables were meticulously selected to meet MR assumptions. The primary analysis used the inverse variance weighting (IVW) approach, supplemented by MR-Egger regression and weighted median methods. Multivariate MR (MVMR) analysis considered confounding variables: educational attainment, BMI, and household income.
Results:
The MR analysis revealed significant causal associations between later AFB (OR 0.89; 95% CI: 0.83–0.96; P = 0.003), AFS (OR 0.64; 95% CI: 0.53–0.76; P = 1.47×10− 5), and AAM (OR 0.83; 95% CI: 0.75–0.91; P = 0.0002) with a reduced risk of NAFLD. MVMR, after accounting for confounders, sustained the significance of AFS (P = 0.003) and AAM (P = 0.02), with a weaker association for AFB (P = 0.3).
Conclusion:
This study provides compelling evidence that later reproductive events—later AFB, AFS, and AAM—are causally associated with a reduced risk of NAFLD. The observed associations persist even after adjusting for confounding variables. Further research is warranted to delve into the underlying mechanisms of this causality, emphasizing the importance of women's reproductive health awareness in mitigating NAFLD risk.
Effect of Direct Cyclopexy for Traumatic Cyclodialysis Cleft: A Retrospective Clinical Study
Authors: Wang Xiaoqiang , JIANG Zhixin , Ma Xiubin 
Published: January 2024

Abstract

Purpose
To evaluate the clinical effect of direct cyclopexy for treatment of traumatic cyclodialysis cleft.
Methods
This is a retrospective case series study. Patients with traumatic cyclodialysis cleft who were treated by direct cyclopexy and had complete medical records in Tianjin Eye Hospital from Feb, 2021 to Aug, 2022 were selected. The detailed characteristics of 23 cases were analyzed. Preoperative and postoperative visual acuity, intraocular pressure (IOP), and extent of ciliary detachment of the patients were recorded. All the patients were followed up 6months.
Results
19 of 23 cases underwent single direct cyclopexy, the other 4 cases with severe posterior section damage received direct cyclopexy combined with vitrectomy, suprachoroidal drainage etc. After operation, 95.65% patients (22/23) successfully reset the ciliary body, including 4 cases receiving combined operations, which has significant difference in statistical significance compared with that of preoperative(P < 0.01). The mean preoperative IOP was 6.48 ± 1.62 mmHg and it has a different degree of rebound in 21 cases reaching 13.29 ± 2.11 mmHg on 6 months after operation, including 6 cases of transient high intraocular pressure (> 21mmHg). The difference has statistical significance (t = 12.74, P < 0.01). Best corrected visual acuity was increased from preoperatively 0.60 ± 0.21 logMAR to 0.38 ± 0.26 log MAR postoperatively, in which the vision > 0.3 reached 65.2% and the difference has statistical significance(t = 5.04, P < 0.01).
Conclusions
According to different condition, direct cyclopexy combined with or without vitrectomy is an effective method for treatment of traumatic ciliary body detachment.
Quality parameter adaptive optimization for spinning process using dynamic non-dominated sorting algorithm
Authors: Wu Di , Sheng Hu 
Published: January 2024

Abstract
Intelligent textile equipment can discover potential patterns in the production process through data mining, and utilize these patterns through intelligent optimization, ultimately achieving intelligent and automated textile production. This paper focuses on the spinning process parameters optimization under changing spinning conditions and proposes a dynamic non-dominant ranking parameter quality adaptive optimization algorithm. Firstly, the changing factors of spinning conditions is analyzed to explore the influence of the change of spinning process conditions on the quality optimization of spinning parameters. Then the factors of spinning process condition changes is transformed into mathematical dynamic constraints and constructing an adaptive optimization model for spinning parameter quality. Basis on this, the response mechanism of spinning environment is established to readjust the optimization direction according to the change of spinning conditions, and the DNSGA-II is used to solve the quality adaptive optimization model. A case study is designed to validate the effectiveness of the proposed method. Compared with other data-driven methods, the proposed method offers enhanced performance in terms of providing corresponding parameter optimization combinations for different spinning conditions.
Ultrasound-guided renal puncture followed by non-guided tract dilatation Vs standard fluoroscopy-guided percutaneous nephrolithotomy for non-opaque renal stones; a Randomized clinical trial
Authors: Pakmanesh Hamid , Kharazmi Farhad , Vejdani Siavash , Eslami Nazanin 
Published: January 2024

Abstract
Objective
to evaluate the non-inferiority of ultrasound puncture followed by non-guided tract dilatation compared to the standard fluoroscopy-guided PCNL.
Materials and Methods
40 patients with non-opaque kidney stones eligible for PCNL were randomly divided into two groups. The standard fluoroscopy-guided PCNL using the Amplatz dilator was performed in the XRAY group. In the SONO group, needle puncture was done ultrasound-guided followed by non-guided dilatation using Amplatz dilator based on the tract length. In cases of short-advancement, we used bi-prong forceps under direct endoscopic vision to dilate the parenchyma. The primary outcome was successful access.
Results
In 90% of cases in the XRAY and 95% in the SONO group access dilatation process was performed uneventfully at the first attempt (p = 0.5). In 45% of cases in the SONO group, bi-prong forceps was used as salvage for short-advancement. In one case in the XRAY group over-advancement occurred. The stone-free rate on CT-scan one month after surgery was 75% for the XRAY group and 85% for the SONO group. (p = 0.4). There were no significant differences in operation time, hospitalization duration, transfusion, or complication rates between the two groups.
Conclusion
Non-guided tract dilatation after the ultrasound-guided renal puncture in PCNL followed by bi-prong forceps tract dilatation as salvage in case of short-advancement, is not inferior to the standard fluoroscopy-guided PCNL for non-opaque renal stones while eliminating radiation hazard and the risk of over-advancement.
Plant cultural indicators of forest resources from the Himalayan high mountains: implications for improving agricultural resilience, subsistence, and forest restoration
Authors: Haq Shiekh Marifatul , Khoja Aadil Abdullah , Waheed Muhammad , Pieroni Andrea , Siddiqui Manzer H. , Bussmann Rainer W. 
Published: January 2024

Abstract

Aim
Biocultural legacy practices are intricately tied to forestry resources, ethnic identity, and social cohesiveness. This study aims to determine the plant cultural values of forest resources and identify plant cultural indicators in each ethnic group, which can aid in long-term natural resource management plans in the current debate on socioenvironmental and ecological transitions.
Methods
Semi-structured interviews, focus group discussions, and field observations were employed to collect data for a comprehensive and systematic ethnobotanical survey from February 2018 to October 2022.
Results
A total of 330 informants reported 154 plant species from 65 families. Asteraceae was the most prominent botanical family, with herbaceous plant groups outnumbering trees and shrubs. The Gujjar and Pahari groups exhibited the highest level of overlap, followed by significant overlaps between the Gujjar and Kashmiri communities. The close affinity observed between the Gujjar and Pahari groups suggests the horizontal pattern of local plant knowledge between these communities, influenced by their sociocultural interactions and intermarriages. Notably, the Pahari community displayed a rich understanding of medicinal plants and shared unique uses for the reported taxa. This study affirms that both ecological factors and sociocultural influences have played significant roles in shaping local plant knowledge. A total of 31 plant species have been identified as plant cultural markers among all four ethnic groups. We observed a positive correlation between plant cultural values and plant use with the Gujjar and Kashmiri ethnic groups. Artemisia absinthium reported the highest use value of (0.57) with use reports of (189). Adonis aestivalis, Cynoglossum nervosum, Geum elatum, Geranium himalayense, Juncus inflexus, Oxalis acetosella, Polygonatum biflorum, and Salvia hians from the Himalayan are among the plant taxa whose ethnomedicinal applications are described here for the first time.
Conclusion
Our data show that local and indigenous forest knowledge and practices could significantly contribute to forest conservation and ecological transition. This may happen if stakeholders generate clear frameworks and biocultural conservation strategies aimed at both dynamically preserve natural habitats and ways of traditional management of local natural resources.
Association between dietary vitamin B1 intake and cognitive impairment among older adults: a cross-sectional study
Authors: Jia Weiai , Wang Hemei , Li Chao , Shi Jingpu , Yong Fangfang , Jia Huiqun 
Published: January 2024

Abstract
Background This study aims to investigate the relationship between vitamin B1 intake and cognitive function in older adults.Methods This cross-sectional observational study utilized data from the National Health and Nutrition Examination Survey (NHANES) 2011–2014. A total of 2422 participants were included in the analysis, with dietary vitamin B1 intake being determined by averaging of two 24-hour dietary recalls. Cognitive function was assessed using multiple tests: the Digit Symbol Substitution Test (DSST) for processing speed, the Animal Fluency Test (AFT) for executive function, a Consortium to Establish a Registry for Alzheimer's disease (CERAD) subtest for memory, and a composite-z score calculated from combined individual test z-scores. Multivariate logistic regression models were used to explore the connections between vitamin B1 and cognitive performance.Results 2422 participants, aged 60 years and older, were included from NHANES across two survey cycles (2011–2014). Cognitive function was negatively associated with vitamin B1 intake. In the fully adjusted model, every 1 mg/day increase in vitamin intake correlated with a 20% lower risk of cognitive impairment in the z-score test (OR = 0.8, 95% CI: 0.67–0.94), a 19% decrease in the DSTT test (OR = 0.81, 95% CI: 0.7–0.94), and a 14% decrease in the AFT and CERAD tests (OR = 0.86, 95% CI: 0.75–0.99). These results remained consistent when vitamin B1 intake was analyzed as a categorical variable. Compared with lowest quartile (Q1), Q4 in the DSST and z score tests reduced the risk of cognitive impairment by 45% (OR = 0.55, 95% CI: 0.4–0.75) and 39% (OR = 0.61, 95% CI: 0.44–0.86). There was no detected significant statistical interaction between these variables.Conclusions Increased dietary intake of vitamin B1 was associated with reduced cognitive impairment in individuals aged over 60.
Photosymbiosis reduces the environmental stress response under a heat challenge in a facultatively symbiotic coral
Authors: Wuitchik Daniel , Aichelman Hannah , Atherton Kathryn , Brown Chloe , Chen Xuqing , DiRoberts Laura , Pelose Gregory , Tramonte Carlos , Davies Sarah 
Published: January 2024

Abstract
The symbiosis between corals and dinoflagellates of the family Symbiodiniaceae is sensitive to environmental stress. The oxidative bleaching hypothesis posits that extreme temperatures lead to accumulation of photobiont-derived reactive oxygen species ROS, which exacerbates the coral environmental stress response (ESR). To understand how photosymbiosis modulates coral ESRs, these responses must be explored in hosts in and out of symbiosis. We leveraged the facultatively symbiotic coral Astrangia poculata, which offers an opportunity to uncouple the ESR across its two symbiotic states (symbiotic, aposymbiotic). Colonies of both symbiotic states were exposed to three temperature treatments for 15 days: i) control (static 18°C), ii) heat challenge (increasing from 18 to 32°C), and iii) cold challenge (decreasing from 18 to 6°C) after which host gene expression was profiled. Cold challenged corals elicited widespread differential expression, however, there were no differences between symbiotic states. In contrast, symbiotic colonies exhibited greater gene expression plasticity under heat challenge, including enrichment of cell cycle pathways involved in controlling photobiont growth. Counter to the oxidative bleaching hypothesis, this plasticity did not include signatures of stress, and rather a dampened ESR under heat challenge was observed, suggesting that photobionts reduce the host's ESR under elevated temperatures in A. poculata.
Single-molecule-based characterization of the soybean rhizosphere microbiome
Authors: Hale Brett , Watts Caitlin , Conatser Matthew , Brown Edward , Wijeratne Asela J. 
Published: January 2024

Abstract
Background
The rhizosphere microbiome displays structural and functional dynamism driven by plant, microbial, and environmental factors. While such plasticity is a well-evidenced determinant of host health, individual and community-level microbial activity within the rhizosphere remain poorly understood, due in part to the insufficient taxonomic resolution achieved through traditional marker gene amplicon sequencing. This limitation necessitates more advanced approaches (e.g., long-read sequencing) to derive ecological inferences with practical application. To this end, the present study coupled synthetic long-read technology with avidity sequencing to investigate eukaryotic and prokaryotic microbiome dynamics within the soybean (Glycine max) rhizosphere under field conditions.
Results
Synthetic long-read sequencing permitted de novo reconstruction of the entire 18S-ITS1-ITS2 region of the eukaryotic rRNA operon as well as all nine hypervariable regions of the 16S rRNA gene. All mapped eukaryotic amplicon sequence variants displayed genus-level classification, and 44.77% achieved species-level classification. The resultant eukaryotic microbiome encompassed five kingdoms (19 genera) of protists in addition to fungi – a depth unattainable with conventional short-read methods. In the prokaryotic fraction, every mapped amplicon sequence variant was resolved at the species level, and 23.13% at the strain level. Thirteen species of Bradyrhizobium were thereby distinguished in the prokaryotic microbiome, with strain-level identification of the two Bradyrhizobium species most reported to nodulate soybean. Moreover, the applied methodology delineated structural and compositional dynamism in response to experimental parameters (i.e., growth stage, cultivar, and biostimulant application), unveiled a saprotroph-rich core microbiome, provided empirical evidence for host selection of mutualistic taxa, and identified key microbial co-occurrence network members likely associated with edaphic and agronomic properties.
Conclusions
This study is the first to combine synthetic long-read technology and avidity sequencing to profile both eukaryotic and prokaryotic fractions of a plant-associated microbiome. Findings herein provide an unparalleled taxonomic resolution of the soybean rhizosphere microbiota and represent significant biological and technological advancements in crop microbiome research.
Phase and norm retrievable operator valued frames
Authors: Li Dongwei , Jiang Jing , Xu Yuxiang 
Published: January 2024

Abstract
In this paper, we investigate operator-value frames (OPV-frames) for phase (norm) retrieval. Firstly, we give a sufficient and necessary condition for phase retrievable OPV-frames in real Hilbert spaces. Some conditions which are equivalent to phase retrievable OPV-frames are also presented. Secondly, we obtain some equivalent conditions to the norm retrievable OPV-frame in real and complex Hilbert spaces. Finally, we show that the property of phase retrievable for real Hilbert spaces is stable under small perturbation of an OPV-frame. It is also shown that the property of norm retrievability is stable under enough small perturbations of an OPV-frame only for phase retrievable OPV-frames.
GloFP-MSF: Monocular Scene Flow Estimation with Global Feature Perception
Authors: Xiang Xuezhi , Cu Yu , Wang Xi , Zhai Mingliang , Saddik Abdulmotaleb El 
Published: January 2024

Abstract

Monocular scene flow estimation is a task that allows us to obtain 3D structure and 3D motion from consecutive monocular images. Previous monocular scene flow usually focused on the enhancement of image features and motion features directly while neglecting the utilization of motion features and image features in the decoder, which are equally crucial for accurate scene flow estimation. In this paper, we propose a global feature perception module (GFPM) based on cross-covariance attention and applie it to decoder, which enables the decoder to utilize the motion features and image features of the current layer as well as the coarse estimation result of the scene flow of the previous layer effectively, thus enhancing the decoder's recovery of 3D motion information. In addition, we also propose a parallel architecture of self-attention and convolution (PCSA) for feature extraction, which can enhance the global expression ability of extracted image features. Our proposed method demonstrates remarkable performance on the KITTI 2015 dataset, achieving a relative improvement of 17.6\% compared to the baseline approach. Compared to other recent methods, the proposed model achieves competitive results.
Multi-Objective Electric Discharge Machining Process Parameters Optimization of Inconel 718 by using Machine Learning Techniques.
Authors: Tufa Kebebew Alemu , AHMED Gulam Mohammed SAYEED , Tufa Habtamu Beri , Sinha Devendra Kumar , Badruddin Irfan Anjum , Alqahtani Mohammed , Kamangar Sarfaraz , Mohiuddin Mohammed Viquar 
Published: January 2024

Abstract
Nickel based Alloys like Inconel 718 are increasingly being used in automotive and aerospace engineering, because of its remarkable properties of high durability, resistance to rust, lightweight, and minimal rate of wear. But Nickel based alloys is limited due to the difficulty in machine by using conventional methods. Electrical Discharge Machining (EDM) is one of the unconventional techniques, which has the ability to machine these Nickel based alloys. The ideal parameters in EDM differ depending on the anticipated outcomes in various materials, It is essential to comprehend the connection between the EDM process parameters and the variables that determine the response, using a specific model, equation, or approach. This understanding is vital for determining the most favorable values for different applications. In this study, we conducted a thorough examination of existing literature. An effort has been made to ascertain the best possible combinations of EDM procedure variables. and the effect of response variables during EDM of Inconel by utilizing copper electrode by Machine Learning Techniques. The process parameters included are Pulse on, Pulse off, Voltage and Current. The Output response variables are Material Removal Rate (MRR), and the work piece's Surface Roughness (SR) can be greatly enhanced by choosing the optimal machining parameters. The primary goal of this research was to create a framework. by using machine learning techniques to forecast the value of process parameter for an optimal value of Material Removal Rate and Surface Roughness and furthermore a mathematical model was formulated for response variables based on the obtained regression models. Regression models were conducted using full factorial method in DOE. ANOVA was used to assess the validity of the developed model. Experiments were performed on an EDMN450CNC die-sinking EDM machine on work piece of Inconel 718 with copper electrode which is utilized in the die and mold fabrication sector. The findings revealed that Pulse-on time contributed 47.76% and most significant parameter affecting surface roughness, followed by peak current with percentage contribution of 26.7%. Peak current had a significant effect on the MRR (78.13%), subsequent step by pulse-on condition time percentages of contribution of 21.344%. From full-factorial design of experiments process optimizer optimum value of Ra was 3.80µm and MRR was 52.0 mm3/min at I, T-on and T-off 15A,100µs and 20µs respectively and From Predictive model MRR was 56.2497mm3/min at I, Pulse-on and Pulse-off conditions were 15A,100 µs and 80 µs respectively and Ra were 3.01 µm, at I, T-on and T-off 6A,100 µs and 20 µs.