bluuebunny/crossref_metadata_2025_split huggingface dataset:
Title of manuscript: Gamma-rays induced genome wide stable mutations in cowpea deciphered through whole genome sequencing
Authors: Punniyamoorthy Dhanasekar , Jegadeesan Souframanien 
Published: January 2023

Abstract
Gamma-rays are the most widely exploited physical mutagen in plant mutation breeding. They are known to be involved in development of more than 60% of global cowpea mutant varieties. Nevertheless, the characteristics of genome wide mutations induced by gamma-rays has not been studied in cowpea (Vigna unguiculata (L.) Walp.). In the present investigation, mutations elicited by gamma rays in three cowpea mutant lines in M6 generation were characterized through whole-genome sequencing. Gamma rays induced a relatively higher frequency (91.1%) of single base substitutions (SBSs) with an average transition to transversion ratio (Ti/Tv) of 2.82. A>G transitions including its complementary T>C transitions predominated the transition mutations, while all the four types of transversion mutations were detected with almost equal frequencies (5.6% to 7.4%). Indels constituted about 9% of the total induced variation wherein small insertions (5.3%) were relatively more prominent than small deletions (3.7%). Among the indels, single base indels and in particular those involving A/T bases showed preponderance, albeit indels of up to five bases were detected in low proportions. Distributed across all 11 chromosomes, only a fraction of SBSs (19.3%) and indels (12.7%) potentially altered the encoded amino-acids/peptides. The inherent mutation rate induced by gamma-rays in cowpea was observed to be in the order of 1.76 x 10-6 per base pair. Therefore, gamma-rays with greater tendency to induce SBSs and to a lesser extent indels could be efficiently and effectively exploited in cowpea mutation breeding.
Application value of Ki67 and serum CA125 in the deep myometrial invasion of endometrial cancer
Authors: Qin Lin 
Published: January 2023

Abstract
Objective To investigate the application value of Ki67 and serum CA125 in diagnosing the deep myometrial invasion of endometrial cancer.
Methods This study retrospectively analyzed 80 EC patients, who underwent procedure from January 2018 to June 2021 at Senior Department of Obstetrics & Gynecology, the Seventh Medical Center of PLA General Hospital assigned to the Fourth Medical Center. The general clinical data, serum CA125 and Ki67 levels were compared between the superficial muscular infiltration group and the deep myometrial invasion group. We investigated the application value of Ki67 and serum CA125 in diagnosing the deep myometrial invasion of EC by the ROC curve.
Results 80 patients were retrospectively analyzed, and 53 cases were superficial muscular infiltration, 27 cases were deep myometrial invasion. There was significant difference in age, tumor diameter, lymph node metastasis, Ki67, serum CA125, p53 status, serum CA125 and Ki67 levels between the two groups (p<0.05). As high as 35% of Ki67 was the optimal cutoff value for predicting DMI in EC, and the area under ROC curve was 0.691, the sensitivity and specificity of diagnosis were 88.9% and 56.6%. As high as 43.645 U/ml of serum CA125 was the optimal cutoff value for predicting DMI in EC, and the area under ROC curve was 0.668，the sensitivity and specificity of diagnosis were 40.7% and 92.5%. After combined detection of both, the area under ROC curve was 0.719, and its sensitivity and specificity of diagnosis were 96.3% and 43.4%.
Conclusion Serum CA125 and Ki67 may be used to evaluate DMI in patients with EC, and the diagnostic value of combination is higher, which provide reference for clinical treatment.
The visceral adipose tissue bacterial microbiota provides a signature of obesity based on inferred metagenomic functions
Authors: Sun Jiuwen , Germain Alberic , Kaglan Gracia , Lelouvier Benjamin , Servant Florence , Federici Massimo , Fernández-Real José Manuel , Sala Daniela Tatiana , Neagoe Radu , Bouloumié Anne , burcelin Remy 
Published: January 2023

Abstract
Metabolic inflammation mediated obesity requires bacterial molecules to trigger immune and adipose cells leading to inflammation and adipose depot development. Beside the established gut microbiota dysbiosis we and others identified a leaky gut in obese patients and animal models as notably characterized by the existence of a tissue microbiota in the adipose fat pads. To identify its potential role, we here sequenced the bacterial 16S rRNA genes within the visceral adipose depot of obese patients. Immense surgical, biochemical and bioinformatic care were taken to avoid environmental contaminants. We performed different statistical discriminant analyses to identify specific signatures and constructed network of interactions between variables. The data show that a specific 16SrRNA gene signature was composed of numerous bacterial families discriminating lean versus obese and extremely obese patients. Burkholderiaceae, Yearsiniaceae, and Xanthomonadaceae were the main discriminant families, notably all gram negative. Interestingly, the Morganellaceae were totally absent from non-obese while preponderant in all obese patients. To generate hypotheses regarding their potential role we inferred metabolic pathways from the 16SrRNA gene signatures. We identified several pathways associated with adenosyl-cobalamine previously described to be linked with adipose tissue development. We further identified chorismate biosynthesis involved in aromatic amino-acid metabolism which could be important players. This innovative approach generates novel hypotheses regarding the gut to adipose tissue axis in obesity.
Optimal partial regularity of discontinuous sub-elliptic systems with VMO coefficients related to H\"{o}rmander's vector fields
Authors: Zhu Yan , Wang Jialin , Liao Dongni 
Published: January 2023

Abstract
In this paper, we study the discontinuous sub-elliptic systems with VMO coefficients related to Hörmander's vector fields. In the case of growth exponential p ≥ 2, the regularity results of the partial Hölder continuity of weak solutions are established based on the 𝓐-harmonic approximation method under the controllable growth condition.
Effectiveness of emergent coastal vegetation as a defence system to mitigate debris load on a structure during extreme event
Authors: Gupta Aditya , Behera Manasa R. 
Published: January 2023

Abstract

Recent research has shown the effectiveness of a vegetation patch in reducing the fluid force of a tsunami wave or storm surge. However, according to the author’s knowledge, the research on the loading behaviour of debris such as shipping containers in presence of these coastal defence system does not exist. This paper, therefore, elucidates the behaviour of impact loading on a column structure due to modeled shipping container in presence of rigid staggered vegetation (RSV) and Tilting staggered vegetation (TSV) with relevance to Reduced Fluid Force Index (RFI), Reduced Momentum Index (RMI) and Transmission coefficient (CT). The non-linearities and the free surface of the fluid are dealt with Smoothed Particle Hydrodynamics (SPH) and the dynamics of vegetation tilt are dealt using Differential Variational Inequality (DVI). The experimental study is conducted for the quantification of debris impact loads on the structure and is then numerically simulated by introducing a vegetation patch in the flume to mitigate this extreme impact loading. Finally, a relationship between trunk tilting and its corresponding underestimation of peak debris impact load on a column structure for half emerged vegetation patch is shown. This study provides significant understanding on the effect of coastal vegetation in mitigating peak debris impact.
Gas Metal Arc Welding parameters obtainment via Artificial Neural Networks: a study of the influence of resampling in the experimental field on prediction error
Authors: Melgaço Ivis Fernanda Teles Alves , Lima Eduardo José , Alves Helias Raphael Teles 
Published: January 2023

Abstract
Welding is the most important metal bonding process used in industry, with applications ranging from microelectronic to structural as in oil prospection constructions. Control processes in electric arc welding aim to improve the quality of the generated weld bead and also to increase process repeatability. In addition to the above factors, robotic welding minimizes the need for a highly skilled operator, reduces waste caused by failures during the welding process as well as human losses and environmental damage. Proper prediction of welding parameters can be understood as the path to process repeatability as well as guaranteed weld quality. Artificial Neural Networks (ANN) are mathematical models that resemble biological neural structures with computational capacity acquired through learning and generalization. With the ability to learn by example and to generalize information one can consider a great ally in problem solving. The general objective of this work is to evaluate the effect of replication resampling on artificial neural networks applied in the prediction of robotic Gas Metal Arc Welding (GMAW) welding parameters. Replications of 2, 3, 5, 10, 20 and 100 times were used. Replication of 2 times the number of samples presented the smallest error among the researched ones.
Sunlight active cellulose/g-C3N4/TiO2 nano-photocatalyst for degradation of industrial dye and pharmaceutical drug in real wastewater
Authors: Garg Anushka , Chauhan Anjali , Agnihotri Charu , Singh Bhim Pratap , Mondem Vasundhara , Basu Soumen , Agnihotri Shekhar 
Published: January 2023

Abstract
The paper critically addresses two contemporary environmental challenges: the water crisis and the unrestricted discharge of organic pollutants in waterways together. An eco-friendly method was used to fabricate a cellulose/g-C3N4/TiO2 photocatalytic composite that displayed a remarkable degradation of methylene blue dye and atenolol drug under natural sunlight. Introducing graphitic carbon nitride (g-C3N4) onto pristine TiO2 improved hybrid material’s photonic efficacy and enhanced interfacial charge separation. Furthermore, immobilizing TiO2/g-C3N4 on a semi-interpenetrating cellulose matrix promoted photocatalyst recovery and its reuse, ensuring practical affordability. Under optimized conditions, the nano-photocatalyst exhibited ~95% degradation of both contaminants within two hours while retaining ~55% activity after ten cycles demonstrating a promising photostability. The nano-photocatalyst causes 66% and 57% reduction in COD and TOC values in industrial wastewater containing these pollutants. The photocatalysis was fitted to various models to elucidate the degradation kinetics, while LC-MS results suggested the mineralization pathway of dye majorly via ring opening demethylation. >98% disinfection was achieved against E. coli (10-105 CFU∙mL-1) contaminated water. This study thus paves multifaceted strategies to treat wastewater contaminants at environmental levels employing nano-photocatalysis.
A New Stable Boundary Layer Parameterization for Weather and Forecasting Models: a Heat Flux Budget Approach
Authors: Maroneze Rafael , Costa Felipe Denardin , Acevedo Otávio Costa , Medeiros Luiz Eduardo , Puhales Franciano Scremin , Anabor Vagner , Mortarini Luca 
Published: January 2023

Abstract
The present study introduces a new boundary layer parameterization for weather and forecasting models. It is implemented here as a boundary layer module in Weather Research and Forecasting (WRF) model. The main novelty in the new scheme is that it includes prognostic equations for the heat flux and temperature variance, being the first WRF boundary layer scheme with that feature. This is specially aimed at improving the representation of nocturnal stable boundary layer and of its turbulence regimes, weakly and very stable. The effort is supported by previous studies that found that the two regimes and the transitions between them are better represented by simplified numerical schemes that represent the interactions between the surface and the air adjacent to it when the heat flux and temperature variance are solved prognostically. The results show that the two regimes are adequately simulated by the new scheme. Such an evaluation is presented in terms of the relationship between the turbulence velocity scale and mean wind speed, of the dependence of the potential temperature gradient near the surface and the mean wind speed, and by the relationship between flux and gradient Richardson numbers. In the new scheme, the relationship between thermal structure and the mean and turbulent flows arises naturally from the heat flux prognostic equation, not being arbitrarily imposed by an empirical stability function.
Investigation of Mg-doping effect on the activity and P tolerance of V2O5-MoO3/TiO2 catalysts for NH3-SCR
Authors: qi liqiang , Li Silan , Wang Wen , Li Jingxin 
Published: January 2023

Abstract
V2O5-MoO3/TiO2 catalyst modified by Mg was studied to obtain higher NOx SCR activity and higher P, SO2 and H2O resistance than the V2O5-MoO3/TiO2. The results show that Mg modification can promote the denitration activity of V2O5-MoO3/TiO2 catalyst, and the maximum NOx removal efficiency of Mg1-SCR catalyst was 97.5%, the optimum reaction temperature and flow rate were 350℃ and 1200 ml/min, respectively. Mg doping can broaden the reaction temperature window of the catalyst, and the denitration efficiency can reach more than 87% at 300℃. P2O5 solution was prepared as poisoning precursor and mixed with catalyst to simulate the process of catalyst P-poisoning. The step-wise study showed that Mg0.5-SCR and Mg1-SCR catalyst displays higher durable resistance to P, SO2 and H2O than original catalyst. The catalysts have been characterized by XRD, BET, SEM, TEM, XPS, CO2-TPD, NH3-TPD and H2-TPR. The obtained results suggested that the Mg doping made the active components more dispersed on the surface of the supports, improved the thermal stability of the catalyst, promoted the transition of VOx from monomeric state to polymerized state, inhibited the interaction between P and V, and protected the acid site.
Forming nursing home practices that support quality care for residents. A qualitative observational study
Authors: Stokke Randi , Sogstad Maren , Wibe Torunn 
Published: January 2023

Abstract
Background
Residents of nursing homes are increasingly frail and dependent. At the same time, there are increased demands for quality of care and social life for individual residents. In this article, we explore how care workers provide quality care, including meaningful activities and social life in shared living rooms in nursing homes.
Methods
An ethnographically inspired design was applied, and a purposive sample of six units for long-term care in three nursing homes in Norway was included in the study. Data were collected by participant observation, including informal conversations with the staff and residents, and the data were analysed using thematic analysis.
Results
The analysis identified three main themes: working within the given frames, forming practices, and organising activities. The empirical findings demonstrate that care takes place within given frames of architecture, culture, and resources, focusing on meeting residents’ physical and social needs and aiming for a social life.
Conclusions
The results of this study illustrate that nursing home practices are focused on residents as a group. However, care workers take advantage of personal skills and resources to work towards person-centred care within the given frames. The quality of care is recognised in terms of how care workers meet individual residents’ needs. The quality of care seems highly related to the competence, capability, and skills of individual care workers.
Cross-sectional association between red blood cell distribution width and regional cerebral tissue oxygen saturation over the first 14 days in preterm infants
Authors: Mu Yuju , Wang Hua , Tian Mengting , Hu Yong , Feng Yi , Lu Ruifeng , He Qi , Jiang Shouliang , Huang Jinglan , Duan Surong , Mu Dezhi 
Published: January 2023

Abstract
Background: Hypoxia can threaten the metabolic functions of various body systems of the immature neonate, particularly the central nervous system. Red blood cell distribution width (RDW) has been recently reported as a prognostic factor in neurologic diseases. This study examined the correlation between RDW and regional cerebral tissue oxygen saturation (rcSO2).
Methods: This cross-sectional study, including 110 preterm infants with gestational age (GA) of <32 weeks or birth weight (BW) of <1500 g from January to June 2022 in our institution, monitored rcSO2 with near-infrared spectroscopy. RDW was extracted from the complete blood count during the first 14 days of life. RDW and rcSO2 measurements were analyzed using a cross-sectional research method.
Results: This study included 53 preterm neonates with rcSO2≥55% and 57 preterm neonates with rcSO2<55%. Mean rcSO2 decreased with increasing RDW during the first 14 days of life. Significantly higher RDW levels were seen in the low rcSO2 group compared with those of the high rcSO2 group. According to threshold effect analysis, the value of rcSO2 decreased with RDW levels above 17.84% (β, -0.03; 95% CI, -0.04– -0.02; p<0.0001). After adjusting for potential confounders, an RDW of ≥17.84% was determined as the predictive cutoff value for preterm infants with low rcSO2 (Model I: OR, 3.31; 95% CI, 1.36–8.06; p=0.009; and Model II: OR, 3.31; 95% CI, 1.28–8.53; p=0.013).
Conclusions: An RDW of ≥17.84% was associated with a high risk of low rcSO2 in preterm infants. A high RDW in preterm infants correlates with an increased risk of cerebral hypoxia.
Trial registration: This study was registered at ChineseClinicalTrials.gov (09/04/2022,ChiCTR2200058482).
Myopic Emotion-Reason Dilemma Judgment (MERDJ): A Spiking Neuron Model of Moral Judgment in Trolley Dilemmas
Authors: Gothard Timothy , Davies Jim 
Published: January 2023

Abstract

People will make different moral judgments in similar moral dilemmas where one can act to sacrifice some number of lives to save several more. Research has shown that although people can reason that an action would save more lives, automatic processes can overwrite deliberate reasoning (J.D. Greene, Morelli, Lowenberg, Nystrom, & Cohen, 2008; J.D. Greene, Sommerville, Nystrom, Darley, & Cohen, 2001). Having participants imagine hypothetical moral dilemmas, researchers have discovered that factors such as action/omission, means/side-effect, and personal/impersonal can affect judgment. Joshua Greene suggests that these features do not affect people’s judgment because they are morally relevant but are instead a result of the myopic nature of the automatic moral process (J.D. Greene, 2013). Greene hypothesizes that there is some myopic module (2013) or domain-general (2017) process that attaches a negative emotional response to an action when one is contemplating violent actions. In the present research a model of this myopic automatic process is paired with an analytic system to replicate deontological and utilitarian responses to moral dilemmas. Our system, MERDJ, models this in simulated spiking neu-rons. The system takes in representations of specific moral dilemmas as inputs and outputs judgments of appropriate or inappropriate.
OmegaROP-2 prospective study: Expression of placental fatty acid receptors in preterm newborns with retinopathy of prematurity
Authors: Carré Chloé , Acar Niyazi , Daruich Alejandra , Grégoire Stéphane , Martine Lucy , Buteau Bénédicte , Aho Serge , Eid Petra , Arnould Louis , Bron Alain , Driessen Marine , Kermorvant Elsa , Simon Emmanuel , Creuzot-Garcher Catherine , Gabrielle Pierre-Henry 
Published: January 2023

Abstract
Background

Incomplete vascularization of the retina in preterm infants carries a risk of retinopathy of prematurity (ROP). Progress in neonatal resuscitation in developing countries has led to the survival of an increasing number of premature infants, resulting in an increased rate of ROP and consequently in visual disability. Strategies to reduce ROP involve optimizing oxygen saturation, nutrition, and normalizing factors such as insulin-like growth factor 1 and n-3 long-chain polyunsaturated fatty acids (LC-PUFA). Our previous study, OmegaROP, showed that there is an accumulation or retention of docosahexaenoic acid (DHA) in mothers of infants developing ROP, suggesting abnormalities in the LC-PUFA placental transfer via fatty acid transporting proteins. The present study aims to better understand the LC-PUFA transport dysfunction in the fetoplacental unit during pregnancy and to find a novel target for the prevention of ROP development.

Methods

The study protocol is designed to evaluate the correlation between the expression level of placental fatty acid receptors and ROP occurrence. This ongoing study will include 100 patients: patients giving birth before 29 weeks of gestational age (GA) and patients with full-term pregnancies. Recruitment is planned for over 46 months. Maternal and cord blood samples as well as placental tissue samples will be taken following delivery. ROP screening will be performed using wide-field camera imaging according to the International Classification of ROP consensus statement.

Discussion

The results of this study will have a tangible impact on public health. Indeed, if we show a correlation between the expression level of placental omega-3 receptors and the occurrence of ROP, it would be an essential step in discovering novel pathophysiological mechanisms involved in this retinopathy.
Trial registration: 2020-A03253-36
Defining neutralization and allostery by antibodies against COVID-19 variants
Authors: Tulsian Nikhil , Raghuvamsi Palur , Qian Xinlei , Gu Yue , Shunmuganathan Bhuvaneshwari D/O , Samsudin Firdaus , Wong Yee Hwa , Lin Jianqing , Purushotorman Kiren , Kozma Mary , WANG BEI , Lescar Julien , Wang Cheng-I , Gupta Ravindra , Bond Peter , MacAry Paul 
Published: January 2023

Abstract
The changing landscape of mutations in the SARS-CoV-2 Spike protein is linked to the emergence of variants, immune-escape and reduced efficacy of the existing repertoire of anti-viral antibodies. A major factor that contributes to the functional activity of the neutralizing antibodies are the intrinsic quaternary changes that occur as a result of antibody-Spike trimer interactions. In this study, we reveal the conformational dynamics and allosteric perturbations linked to binding of human monoclonal antibodies and the viral Spike protein. We identify epitope hotspots of known and novel antibodies, and associated changes in Spike dynamics that define weak, moderate and strong neutralizing antibodies. We show the impact of mutations in Wuhan, Delta, and Omicron variants of concern (VoCs) and differences observed in the antibody-induced conformational changes and illustrate how these render certain antibodies ineffective. Our comparative analyses of the antibody-footprints on Spike variants reveal how antibodies with similar binding affinities may induce destabilizing and stabilizing allosteric effects. These differences have important implications for neutralization efficacy and for developing new antibodies targeting emerging variants. Our results provide mechanistic insights into the functional modes and synergistic behavior of human antibodies against COVID-19, and provide a rationale to design effective antiviral strategies.