bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification and high-resolution mapping of a novel tiller inhibition gene (tin6) by combining forward genetics screen and MutMap approach in bread wheat
Authors: Schoen Adam , Yadav Inderjit , Wu Shuangye , Poland Jesse , Rawat Nidhi , Tiwari Vijay 
Published: April 2023

Abstract
Wheat (Triticum aestivum) is one of the most important food crops worldwide, providing up to 20% of the caloric intake per day. Developing high-yielding wheat cultivars with tolerance against abiotic and biotic stresses is important to keep up with the increasing human population. Tiller number is one of the major yield-related traits, directly affecting the number of grains produced per plant, however, only a small number of QTL and underlining genes have been identified for this important factor. Identification of novel genetic variation underlying contrasting traits and their precise genetic mapping in wheat is considered difficult due to the complexity and size of the genome, however, advancements in genomic resources have made efficient gene localization more possible. In this study, we report the characterization of a novel tillering inhibition locus using a mutant identified in the forward genetic screen of an ethyl methane sulfonate (EMS) treated population of cv. ‘Jagger’. By crossing the low tillering mutant with the Jagger wild-type plant, we generated an F2 population and used the MutMap approach to identify a novel physical interval on 11 Mb on chromosome 2DS. Using an F2 population of 442 gametes and polymorphic SNP markers, we were able to delineate the tin6 locus to a 2.1 Mb region containing 22 candidate genes.
Effect of MgO and Al2O3 on high temperature stability performance of high-alumina cement
Authors: Wang Yibo , Guo Jinbo 
Published: April 2023

Abstract
High-alumina cement has an important position in refractory materials with its good performance at high temperatures, but its own disadvantages such as strength inversion and unstable transformation of hydration products have always limited its development. To clarify the working mechanism of high-alumina cement and improve its high temperature resistance, MgO and Al2O3 were added to the high-alumina cement paste. The optimal design method was used to determine the influence of each factor on the high temperature stability of the cement paste. The raw material ratios were optimized and the strength change patterns of the specimens under the optimal ratio were verified. From a microstructure perspective, the high temperature evolution of the hardened paste of high-alumina cement was explored using X-ray diffraction, scanning electron microscopy, thermogravimetry, and differential scanning calorimetry. The results show that the introduction of refractory powders, especially Al2O3, can significantly improve the volumetric stability of the cement paste at high temperatures. When the water-cement ratio is 0.20, the admixture of MgO is 5% or 10%, and Al2O3 is 20%, the high temperature volume stability of the cement paste is the best. However, its corresponding mechanical strength is weakened to some extent with an increase in calcinating temperature. Moreover, the structure-property evolution process of cementite under high temperature calcinating conditions was verified by microstructural characterization, especially the improvement effect of the refractory powder on the high temperature resistance of the cement paste. The results of this study can serve as a guide for the development of high-alumina cement and its cementing materials, as well as for the improvement of their properties.
Associations of breast cancer etiologic factors with stromal microenvironment of primary invasive breast cancers in the Ghana Breast Health Study
Authors: Abubakar Mustapha , Ahearn Thomas U. , Duggan Maire A. , Lawrence Scott , Adjei Ernest , Clegg-Lamptey Joe-Nat , Yarney Joel , Wiafe-Addai Beatrice , Awuah Baffour , Wiafe Seth , Nyarko Kofi , Aitpillah Francis , Ansong Daniel , Hewitt Stephen M. , Brinton Louise A. , Figueroa Jonine D. , Garcia-Closas Montserrat , Edusei Lawrence , Titiloye Nicolas 
Published: April 2023

Abstract
Background:
Emerging data suggest that beyond the neoplastic parenchyma, the stromal microenvironment (SME) impacts tumor biology, including aggressiveness, metastatic potential, and response to treatment. However, the epidemiological determinants of SME biology remain poorly understood, more so among women of African ancestry who are disproportionately affected by aggressive breast cancer phenotypes.
Methods:
Within the Ghana Breast Health Study, a population-based case-control study in Ghana, we applied high-accuracy machine-learning algorithms to characterize biologically-relevant SME phenotypes, including tumor-stroma ratio (TSR (%); a metric of connective tissue stroma to tumor ratio) and tumor-associated stromal cellular density (Ta-SCD (%); a tissue biomarker that is reminiscent of chronic inflammation and wound repair response in breast cancer), on digitized H&E-stained sections from 792 breast cancer patients aged 17–84 years. Kruskal-Wallis tests and multivariable linear regression models were used to test associations between established breast cancer risk factors, tumor characteristics, and SME phenotypes.
Results:
Decreasing TSR and increasing Ta-SCD were strongly associated with aggressive, mostly high grade tumors (p-value < 0.001). Several etiologic factors were associated with Ta-SCD, but not TSR. Compared with nulliparous women [mean (standard deviation) = 28.9% (7.1%)], parous women [mean (standard deviation) = 31.3% (7.6%)] had statistically significantly higher levels of Ta-SCD (p-value = 0.01). Similarly, women with a positive family history of breast cancer [FHBC; mean (standard deviation) = 33.0% (7.5%)] had higher levels of Ta-SCD than those with no FHBC [mean (standard deviation) = 30.9% (7.6%); p-value = 0.01]. Conversely, increasing body size was associated with decreasing Ta-SCD [mean (standard deviation) = 32.0% (7.4%), 31.3% (7.3%), and 29.0% (8.0%) for slight, moderate, and large body sizes, respectively, p-value = 0.005]. These associations persisted and remained statistically significantly associated with Ta-SCD in mutually-adjusted multivariable linear regression models (p-value < 0.05). With the exception of body size, which was differentially associated with Ta-SCD by grade levels (p-heterogeneity = 0.04), associations between risk factors and Ta-SCD were not modified by tumor characteristics.
Conclusions:
Our findings raise the possibility that epidemiological factors may act via the SME to impact both risk and biology of breast cancers in this population, underscoring the need for more population-based research into the role of SME in multi-state breast carcinogenesis.
Data Encryption Technology application in Enterprise Cost Operation Management Based on Cloud Computing
Authors: You Bo , Xiao Xiao 
Published: April 2023

Abstract
As a new type of calculation method, 5G cloud computing provides convenient and fast service items for enterprises and ordinary users with its characteristics of stability, reasonableness, and easy operation. Although private cloud storage guarantees the safe storage of its own business secrets and secret data, its storage operation scale, service capabilities, and openness may not be extended to cloud computing platforms. Therefore, hybrid cloud computing is the development trend of cloud computing technology in the future, but how to ensure the efficient and safe storage of data and the consistency of data information must rely on data encryption technology. With the increase of market demand, the change of business model and the development of technological progress, the company's information management level has clearly put forward higher regulations. Only the application of a powerful information management system can quickly capture market information and fully grasp important customer and corporate information to improve business service management decisions flexibly change the work process to integrate into the continuous changes of customers, and ultimately win the market leadership. As a concept of scientific research enterprise accounting management method, ERP can create an efficient supply chain, reduce inventory, and reduce cost accounting for enterprises. This article aims to realize its practical significance by studying the data encryption technology of 5G cloud computing and applying it to enterprise accounting cost calculation.
Improving cervical cancer continuum of care towards elimination in Ethiopia: a scoping review
Authors: Endalamaw Aklilu , Alganeh Habtamu , Azage Muluken , Atnafu Asmamaw , Erku Daniel , Wolka Eskinder , Nigusie Adane , Zewdie Anteneh , Teshome Destaw Fetene , Assefa Yibeltal 
Published: April 2023

Abstract
Introduction: Cervical cancer is the second-leading cause of death among all cancers in Ethiopia. Ethiopia plans to eliminate cervical cancer as a public health problem by 2030, following the World Health Organization's call for action. A scoping review was conducted on the status of the cervical cancer continuum towards elimination in Ethiopia.
Methods: We searched articles in PubMed, Scopus and Google Scholar. All studies conducted on cervical cancer in Ethiopia, irrespective of date of publication, type of article, or language of publication were included. However, conference abstracts, commentaries, and letters to the editors were excluded. We used EndNote x9 software to merge articles from different databases and automatically remove duplicates. Screening of titles, abstracts, and full texts was performed by two co-authors independently. The cancer care continuum was employed as a framework to guide data synthesis and present the findings.
Results: Of the 569 retrieved articles, 159 were included in the review. The found most of articles were about knowledge, attitude, and practice. There were few studies on health-seeking behaviour, perception and acceptability to cervical cancer services and availability and readiness of a screening programme. The review identified that there was inadequate knowledge, attitude and perception about cervical cancer. Screening for cervical cancer is not widely used in Ethiopia. Knowledge and attitude, education status, and income were repeatedly reported as precursors for cervical cancer screening. Most studies concluded a high prevalence of precancerous lesions and cervical cancer, as well as high mortality rates or short survival times. The review also identified that there is huge heterogeneity in findings under each component of the cancer care continuum across time and geographic settings.
Conclusions: Overall, there is inadequate knowledge, perception, health seeking behaviour, screening and treatment services. This implies that the country is lagging behind the targets towards eliminating cervical cancer despite the availability of effective interventions and tools. We argue that an implementation research is needed to identify implementation issues, challenges and strategies to scale up both primary and secondary prevention services so that cervical cancer will not anymore be a public health problem.
Nitrogen doped carbon layer of LiFePO4 improve the electrochemical performance for lithium ion batteries
Authors: Chen Qiulin , Liu Hailang , Hu Junxian , Wang Li , Li Yin , Yao Yaochun 
Published: April 2023

Abstract
In recent years, LiFePO4 is considered as a promising cathode material for lithium-ion batteries. However, the low conductivity is a major disadvantage for this material. The nitrogen-doped carbon coated on the LiFePO4 is an effective strategy to solve this drawback. Herein, we report a creative and facile method for fabricating nitrogen-doped carbon-coated LiFePO4 (LFP/C-N) with sucrose and tripolycyanamide as carbon and nitrogen sources, respectively. As expected, the LFP coating with 1.25 wt% N decorating (LFP/C-N1.25) exhibits a high specific capacities of 149.12 mAh g−1 at 1 C, better rate performance of 50.64 mAh g−1 at 10 C and favorable lithium ion diffusion coefficient of 2.15×10-12 cm2 s-1. Therefore, we suggest that such novel LiFePO4 material is a potential cathode material for lithium-ion batteries.
Prenatal diagnosis of 45,X/46,X,dic(X;18) mosaicism: a case report
Authors: Wang Dongying , Wu Ke , Zhu Yuanzhen , He Junying 
Published: April 2023

Abstract
Background:
A dicentric chromosome is an abnormal chromosome with two centromereson the same chromosome. They are rarely identified in genetic conditions. Robertsonian translocations (ROBs) involving acrocentric chromosomes (13, 14, 15, 21, and 22) are most frequently generate the dicentric chromosomes. In this report, we described a phenotypically abnormal fetus with mosaic karyotype 45,X/46,X,dic(X;18). This was a rare type of dicentric chromosome X, which has not been reported.
Case presentation: At 16 weeks of gestation, A 39-year-old pregnant woman (gravida 2, para 1) was referred to the center of prenatal diagnosis for genetic counseling. The fetal ultrasonography indicated ventricular septal defect (VSD), pulmonary stenosis, cystic hygroma colli (CHC), choroid plexus cyst, and bilateral hydronephrosis. Subsequently, amniocentesis was performed, the G-banding karyotype analysis of the fetal sample showed a rare type of mosaicism of 45,X,dic(X;18)(p11.2;p11.2)[31]/45,X[26]. Single nucleotide polymorphism array (SNP array) (Affymetrix CytoScan 750K Array, Santa Clara, California) revealed arr[GRCh37]18p11.32p11.21(136228_15181208)x1-2 (Pathogenic); arr[GRCh37]Xp22.33p11.22(168552_52154982)x1 (Pathogenic); arr[GRCh37]Xp11.22q28(52705315_155233098)x1-2 (Pathogenic). After genetic counseling, the parent chose to terminate the pregnancy.
Conclusions: We report a prenatal case of 45,X,dic(X;18)(p11.2;p11.2)[31]/45,X[26] mosaicism with multiple congenital anomalies. The C-banding analysis showed dicentric chromosome X. This was a rare type of dicentric chromosome X, which has not been reported. Our case report added the descriptive information on this fetus and could provide a reference for genetic counseling.
Classification of multivariate functional data on different domains with Partial Least Squares approaches
Authors: Moindjié Issam-Ali Moindjié , Dabo-Niang Sophie Dabo-Niang , Preda Cristian Preda 
Published: April 2023

Abstract
Classification (supervised-learning) of multivariate functional data isconsidered when the elements of the random functional vector of interest are defined on different domains.
In this setting, PLS classification and tree PLS-based methods for multivariate functional data are presented.From a computational point of view, we show that the PLS components of the regression with multivariate functional data can be obtained using only the PLS methodology with univariate functional data.This offers an alternative way to present the PLS algorithm for multivariate functional data.
Numerical simulation and real data applications highlight the performance of the proposed methods.
Portable Droplet-based Real-time Monitoring of Pancreatic α-amylase in Postoperative Patients
Authors: Baraban Larysa , Zhao Xinne , Kolbinger Fiona , Distler Marius , Weitz Jürgen , Makarov Denys , Bachmann Michael 
Published: April 2023

Abstract
Postoperative complications after pancreatic surgery are frequent and life-threatening. Current clinical diagnostic strategies involve time-consuming quantification of α-amylase activity in abdominal drain fluid, which is taken on the first and third postoperative day. The lack of real-time data can delay adjustment of medical treatment upon complications and worsen prognosis for patients. We report a bedside portable droplet-based millifluidic device enabling real-time sensing of drain α-amylase activity for postoperative monitoring of patients undergoing pancreatic surgery. Here, a tiny amount of drain liquid of patient samples is continuously collected and co-encapsulated with a starch reagent in nanoliter-sized droplets to track the fluorescence intensity released upon reaction with α-amylase. Comparing the α-amylase levels of 32 patients, 97% of the results of the droplet-based millifluidic system matched the clinical data. Our method reduces the α-amylase assay time to approximately three minutes, which is a major improvement compared to the current clinical standard of several hours in the clinic. Furthermore, the device reveals an order of magnitude improvement in the limit of detection, reaching 7 nmol/s·L. The presented droplet-based diagnostics platform can be extended for analysis of different body fluids, diseases, and towards a broader range of biomarkers, including lipase, bilirubin, lactate, inflammation, or liquid biopsy markers, setting up new standards in clinical patient monitoring.
Effects of Scattered Erythrina brucei Trees on Wheat Yield and Soil Physicochemical Properties in Bonke District, Gamo Zone, Southern Ethiopia
Authors: Abeje Aman , Tumayro Mengistu , Girma Amare 
Published: April 2023

Abstract
Erythrina brucei is multipurpose farm tree in Bonke district, Gamo Zone, Southern Region. The large amount of leaf litter it sheds during the dry season coupled with its rapid decomposition for the cropping season attracts farming family’s attention to retain in their farmland. Therefore, the current study was carried out with the aim of evaluating soil physico-chemical properties and wheat yield under scattered Erythrina brucei trees in farmland. Five trees on similar slope of land with relatively similar age, DBH (diameter at breast height), tree height, and canopy diameter were selected. The tree canopy diameter was divided into three distances: inner, middle and periphery. An open area at least double distance away from tree canopy was located for control. Soil samples at 0-30cm soil depth from three canopy distances and open control were taken for analysis of selected soil physico-chemical properties. Data were also recorded on growth, yield and yield attributes of wheat. The result of soil analysis revealed that with the exception of soil texture and soil pH, all soil properties increased significantly under Erythrina brucei canopy than in the open area showing a decreasing trend with increasing distance from the tree trunk. The result also indicated highest wheat yield at inner distance with yield increments of 18.17% compared to open control. We recommend optimal density of 100 Erythrina trees integration to enhance wheat yield in the study district and elsewhere with similar agroecology.
Utilizing river and wastewater as a SARS-CoV-2 surveillance tool to predict trends and identify variants of concern in settings with limited formal sewage systems.
Authors: Barnes Kayla , Levy Joshua , Andersen Kristian , Gauld Jillian , Rigby Jonathan , Kanjerwa Oscar , Uzzell Christopher , Chilupsya Chisomo , Anscombe Catherine , Tomkins-Tinch Christopher , Mbeti Omar , Cairns Edward , Thole Herbert , McSweeney Shannon , Chibwana Marah , Ashton Philip , Jere Khuzwayo , Meschke John , Diggle Peter , Cornick Jennifer , Jambo kondwani , Kawalazira Gift , Paterson Steve , Nyirenda Tonney , Feasey Nicholas , Chilima Benjamin 
Published: April 2023

Abstract
The COVID-19 pandemic continues to impact health systems globally and robust surveillance is critical for pandemic control, however not all countries can sustain community surveillance programs. Wastewater surveillance has proven valuable in high-income settings, but little is known about how river and informal sewage in low-income countries can be used for environmental surveillance of SARS-CoV-2. In Malawi, a country with limited community-based COVID-19 testing capacity, we explored the utility of rivers and wastewater for SARS-CoV-2 surveillance. From May 2020 – January 2022, we collected water from up to 112 river or informal sewage sites/month, detecting SARS-CoV-2 in 8.3% of samples. Peak SARS-CoV-2 detection in water samples predated peaks in clinical cases. Sequencing of water samples identified the Beta, Delta, and Omicron variants, with Delta and Omicron detected well in advance of detection in patients. Our work highlights wastewater can be used for detecting emerging waves, identifying variants of concern and function as an early warning system in settings with no formal sewage systems.
Oral cancer risk among people who smoke, have quit smoking, use smokeless tobacco, or former smokers that use smokeless tobacco observed from state-based cancer registries
Authors: Noggle Brendan , Cheng Hui , Sarkar Mohamadi 
Published: April 2023

Abstract
Background Tobacco use has been identified as a risk factor for oral cancer worldwide. However, oral cancer risk among people who smoke cigarettes, use smokeless tobacco products (ST), have transitioned from cigarettes to ST (“switchers”) or quit both cigarettes and/or ST (“quitters”) has not been well studied. This study compared oral cancer incidence between 2014–2017 relative to never tobacco use.Methods We estimated incidence rates and incidence rate ratios using data from state-wide cancer registries (i.e., Colorado, Florida, North Carolina, and Texas) and population counts derived from national surveys. A random-effect meta-analysis approach was used to summarize estimates among these groups, based on multiple imputation-based incidence rate ratio estimates, by state and age groups while considering potential heterogeneity.Results A total of 19,536 oral cancer cases were identified among adult males 35 years and older in the study geographies and period. People who currently smoked cigarettes were 2.6 (95% CI = 2.0-3.3) times as likely to be diagnosed with oral cancer compared to individuals who currently used ST. The incidence rate ratio among people who currently smoke cigarettes was 3.6 (95% CI = 3.2–4.1) relative to never users, 2.4 (95% CI = 1.8–3.1) relative to switchers and 1.4 (95% CI = 1.0-2.1) among switchers relative to quitters. The incidence rate ratio of current users of ST relative to never-users was 1.4 (95% CI = 1.1–1.9).Conclusions Findings from this population-based study with a large number of oral cancer cases support lower risk of oral cancer among users of ST compared to cigarettes. Compared to those who continue to smoke, oral cancer risks can be reduced by switching to ST products or quitting all tobacco.