bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genetic control and prospects of predictive breeding for European winter wheat’s Zeleny sedimentation values and Hagberg-Perten falling number
Authors: Muqaddasi Quddoos H. , Muqaddasi Roop Kamal , Ebmeyer Erhard , Korzun Viktor , Argillier Odile , Mirdita Vilson , Reif Jochen C. , Ganal Martin W. , Röder Marion S. 
Published: October 2023

Abstract
Key message
Sedimentation values and falling number in the last decades have helped maintain high baking quality despite rigorous selection for grain yield in wheat. Allelic combinations of major loci sustained the bread-making quality while improving grain yield. Glu-D1, Pinb-D1, and non-gluten proteins are associated with sedimentation values and falling number in European wheat.

Abstract
Zeleny sedimentation values (ZSV) and Hagberg-Perten falling number (HFN) are among the most important parameters that help determine the baking quality classes of wheat and, thus, influence the monetary benefits for growers. We used a published data set of 372 European wheat varieties evaluated in replicated field trials in multiple environments. ZSV and HFN traits hold a wide and significant genotypic variation and high broad-sense heritability. The genetic correlations revealed positive and significant associations of ZSV and HFN with each other, grain protein content (GPC) and grain hardness; however, they were all significantly negatively correlated with grain yield. Besides, GPC appeared to be the major predictor for ZSV and HFN. Our genome-wide association analyses based on high-quality SSR, SNP, and candidate gene markers revealed a strong quantitative genetic nature of ZSV and HFN by explaining their total genotypic variance as 41.49% and 38.06%, respectively. The association of known Glutenin (Glu-1) and Puroindoline (Pin-1) with ZSV provided positive analytic proof of our studies. We report novel candidate loci associated with globulins and albumins—the non-gluten monomeric proteins in wheat. In addition, predictive breeding analyses for ZSV and HFN suggest using genomic selection in the early stages of breeding programs with an average prediction accuracy of 81 and 59%, respectively.
Identifying crustal contributions in the Patagonian Chon Aike Silicic Large Igneous Province
Authors: Foley Michelle L. , Putlitz Benita , Baumgartner Lukas P. , Renda Emiliano M. , Ulianov Alexey , Siron Guillaume , Chiaradia Massimo 
Published: October 2023

AbstractThe volcanic rocks of the Chon Aike Silicic Large Igneous Province (CASP) are recognized as magmas dominantly produced by crustal anatexis. Investigating the zircon of the CASP provides an opportunity to gain further insight into geochemical and isotopic differences of the potential magmatic sources (i.e., crust versus mantle), to identify crustal reservoirs that contributed to the felsic magmas during anatexis, and to quantify the contributions of the respective sources. We present a combined zircon oxygen and hafnium isotope and trace element dataset for 16 volcanic units of the two youngest volcanic phases in Patagonia, dated here with LA-ICP-MS U–Pb geochronology at ca. 148–153 Ma (El Quemado Complex, EQC) and ca. 159 Ma (western Chon Aike Formation, WCA). The EQC zircon have 18O-enriched values (δ18O from 7 to 9.5‰) with correspondingly negative initial εHf values (− 2.0 to − 8.0). The WCA zircon have δ18O values between 6 and 7‰ and εHf values ranging between − 4.0 and + 1.5. Binary δ18O-εHf mixing models require an average of 70 and 60% melt derived from partial melting of isotopically distinct metasedimentary basements for the EQC and WCA, respectively. Zircon trace element compositions are consistent with anatexis of sedimentary protoliths derived from LIL-depleted upper continental crustal sources. The overlap between a high heat flux environment (i.e., widespread extension and lithospheric thinning) during supercontinental breakup and a fertile metasedimentary crust was key in producing voluminous felsic volcanism via anatexis following the injection and emplacement of basaltic magmas into the lower crust.
Integrated genotype–phenotype analysis of familial adenomatous polyposis-associated hepatocellular adenomas
Authors: Tóth Marcell , Kirchner Martina , Longerich Thomas , Stenzinger Albrecht , Schirmacher Peter 
Published: October 2023

AbstractFamilial adenomatous polyposis (FAP) is an autosomal dominant syndrome caused by a germline mutation in the adenomatous polyposis coli (APC) gene, characterized by numerous colorectal adenomas. In addition, FAP patients may develop extraintestinal manifestations. Several cases of hepatocellular adenomas (HCA) detected accidentally in FAP patients have raised the so-far unsolved question of whether they represent a specific manifestation of FAP or a mere coincidence. To investigate the incidence of liver tumors in FAP patients, we analyzed our diagnostic database from 1991 to 2021. Among the 58 hepatic mass lesions identified, five HCAs occurring in three patients with FAP were identified, and comprehensive morphological, immunohistological, and molecular analysis employing targeted next-generation sequencing was conducted for characterization. The HCAs in this study showed no cytological or histological atypia. They displayed a diffuse, strong positivity for glutamine synthetase but no nuclear beta-catenin immunostaining. In two patients, the adenomas showed moderate immunoreactivity against serum amyloid A. Consistent with the diagnosis of FAP, molecular profiling revealed a pathogenic germline mutation of the APC gene in all analyzed adenomas as well as deleterious somatic second hits. All somatic mutations were localized between codons 1345 and 1577. No mutations were found in the catenin beta 1 gene. HCA in FAP patients can be a specific, although rare, neoplastic manifestation of this inborn disease and represents a distinct subgroup of HCAs. These benign tumors represent an important differential diagnosis for hepatic metastases in FAP patients and require adequate clinical and molecular (diagnostic) assessments for optimal patient guidance.
Evaluating the accuracy of a cataract surgery simulation video in depicting patient experiences under conscious anesthesia
Authors: Sella Ruti , Lian Rebecca R. , Abbas Anser A. , Fuller Spencer D. , Bentley Sean S. , Fukuoka Hideki , Afshari Natalie A. 
Published: October 2023

Abstract
Purpose
To evaluate the accuracy of a point-of-view cataract surgery simulation video in representing different subjective experiences of patients undergoing the procedure.

Methods
One hundred consecutive post-cataract-surgery patients were shown a short simulation video of the surgery obtained through a porcine eye model during the first postoperative week. Patients then answered a multiple-choice questionnaire regarding their visual and tactile intraoperative experiences and how those experiences matched the simulation.

Results
Of the patients surveyed (n = 100), 78% (n = 78) recalled visual experiences during surgery, 11% recalled pain (n = 11), and 6.4% (n = 5) recalled frightening experiences. Thirty-six percent of patients (n = 36) were interviewed after their second cataract surgery; there was no statistically significant difference between anxiety scores reported before the first eye surgery and second eye surgery (p = 0.147). Among all patients who recalled visual experiences (n = 78), nearly half (47.4%) reported that the video was the same/similar to their experience. Forty-eight percent of the patients recommended future patients to watch the video before their procedures, and more than a third (36%) agreed that watching the video before surgery would have helped them to relax.

Conclusions
Our model reflects the wide range of subjective patient experiences during and after surgery. The high percentage of patients who found the video accurate in different ways suggests that, with more development, point-of-view cataract simulation videos could prove useful for educational or clinical use. Further research may be done to confirm the simulation’s utility, by screening the video for subjects before operations.
Let Us Halt the Resurgence of Protectionism: Trade Openness, Innovation Ecosystem, and Workforce Diversity in the Knowledge-Based Economy
Authors: Soral Prakriti , Pati Surya Prakash , Singh Sanjay Kumar , Del Giudice Manlio , Degbey William Y. 
Published: October 2023

AbstractProtectionist economies impede the free flow of capital and labor across national and corporate borders, which limits the production, access, and diffusion of knowledge required to create novel solutions. However, further investigation is needed into the knowledge and innovation pathways/mechanisms to stop or at least reduce protectionist trade policies in order to stimulate the innovation ecosystem and develop a diverse workforce. Through a sequential mediation of venture capital and collaborations, our study investigates the relationship between trade openness and workforce diversity by adopting the knowledge-based view and building on the four pillars of the knowledge-based economy. Utilizing archived data, our analysis verified this connection. The theoretical and practical implications are also discussed.
Identification of Diagnostic Biomarkers for Compensatory Liver Cirrhosis Based on Gut Microbiota and Urine Metabolomics Analyses
Authors: Chen Yingjun , Chen Shaoxian , Xu Chandi , Yu Li , Chu Shanshan , Bao Jianzhi , Wang Jinwei , Wang Junwei 
Published: October 2023

AbstractLiver cirrhosis is one of the most prevalent chronic liver disorders with high mortality. We aimed to explore changed gut microbiome and urine metabolome in compensatory liver cirrhosis (CLC) patients, thus providing novel diagnostic biomarkers for CLC. Forty fecal samples from healthy volunteers (control: 19) and CLC patients (patient: 21) were undertaken 16S rDNA sequencing. Chromatography-mass spectrometry was performed on 40 urine samples (20 controls and 20 patients). Microbiome and metabolome data were separately analyzed using corresponding bioinformatics approaches. The diagnostic model was constructed using the least absolute shrinkage and selection operator regression. The optimal diagnostic model was determined by five-fold cross-validation. Pearson correlation analysis was applied to clarify the relations among the diagnostic markers. 16S rDNA sequencing analyses showed changed overall alpha diversity and beta diversity in patient samples compared with those of controls. Similarly, we identified 841 changed metabolites. Pathway analysis revealed that the differential metabolites were mainly associated with pathways, such as tryptophan metabolism, purine metabolism, and steroid hormone biosynthesis. A 9-maker diagnostic model for CLC was determined, including 7 microorganisms and 2 metabolites. In this model, there were multiple correlations between microorganisms and metabolites. Subdoligranulum, Agathobacter, norank_f_Eubacterium_coprostanoligenes_group, Butyricicoccus, Lachnospiraceae_UCG_004, and L-2,3-Dihydrodipicolinate were elevated in CLC patients, whereas Blautia, Monoglobus, and 5-Acetamidovalerate were reduced. A novel diagnostic model for CLC was constructed and verified to be reliable, which provides new strategies for the diagnosis and treatment of CLC.
A Mindful Path Toward Prejudice Reduction: Key Mindfulness Facets and Mediators for Promoting Positive Intergroup Relations
Authors: Fuochi Giulia , Boin Jessica , Lucarini Alice , Voci Alberto 
Published: October 2023

Abstract
Objectives
Mindfulness might promote an open, accepting, less stereotypical view of people belonging to other social groups. We hypothesized positive cross-sectional (H1) and longitudinal (H2) associations between dispositional mindfulness — especially the Observing facet — and positive intergroup outcomes (i.e., better intergroup attitudes and contact experiences, lower intergroup prejudice, higher deprovincialization), and that those associations would be mediated by dispositional curiosity and reflection (H3).

Method
We tested H1 in Study 1 (two waves, 1-month interval, n = 102) and Study 2 (cross-sectional, n = 679), with linear models in which attitudes and prejudice toward immigrants, contact with immigrants (only in Study 2), and deprovincialization were predicted by mindfulness facets. We tested H2 in Study 1, with cross-lagged path models replicating the cross-sectional analyses, and H3 in Study 2, with structural equation models in which Reflection, Joyous Exploration, Stress Tolerance, and Social Curiosity mediated the relationships between facets of dispositional mindfulness and intergroup outcomes.

Results
Results largely supported hypotheses. Consistent with H1, in Studies 1 and 2, Observing was associated with all intergroup outcomes; in Study 2, Describing was associated with higher deprovincialization, better attitudes, and lower prejudice, and Nonjudging with higher deprovincialization and positive contact. As for H2, we found a unidirectional association from Observing to attitudes. Concerning H3, we found mediating paths between some mindfulness facets and intergroup outcomes through Reflection, Joyous Exploration, Stress Tolerance, and Social Curiosity.

Conclusions
Results support the possibility to build prejudice reduction interventions grounded on mindfulness, to increase awareness of negative stereotypes and openness to differences among people.

Preregistration
The study was not preregistered.
Integrated analysis of single-cell and bulk RNA-sequencing reveals the poor prognostic value of ABCA1 in gastric adenocarcinoma
Authors: Shen Kaiyu , Ke Shuaiyi , Chen Binyu , Gao Wencang 
Published: October 2023

Abstract
Purpose
ATP-binding cassette A1 (ABCA1) is a potential prognostic marker for various tumor types. However, the biological effects and prognostic value of ABCA1 in gastric adenocarcinoma (GAC) remain unknown.

Methods
GAC-associated single-cell RNA and bulk RNA-sequencing (bulk-seq) data were obtained from the Gene Expression Omnibus and The Cancer Genome Atlas databases, respectively. The differential expression of ABCA1 between GAC and normal gastric tissues was analyzed based on the bulk-seq data. Additionally, the relationship between ABCA1 expression and various clinicopathological features was explored. Furthermore, Kaplan–Meier survival and Cox regression analyses were performed to establish the prognostic value of ABCA1. The relationships between ABCA1 expression and anti-tumor drug sensitivity and immune checkpoints were also explored. Finally, the biological functions of ABCA1 were evaluated at the single-cell level, and in vitro studies were performed to assess the effects of ABCA1 on GAC cell proliferation and invasion.

Results
ABCA1 expression is significantly elevated in GAC samples compared with that in normal gastric tissues. Clinical features and survival analysis revealed that high ABCA1 expression is associated with poor clinical phenotypes and prognosis, whereas Cox analysis identified ABCA1 as an independent risk factor for patients with GAC. Furthermore, high ABCA1 expression suppresses sensitivity to various chemotherapeutic drugs, including cisplatin and mitomycin, while upregulating immune checkpoints. ABCA1-overexpressing macrophages are associated with adverse clinical phenotypes in GAC and express unique ligand–receptor pairs that drive GAC progression. In vitro, ABCA1-knockdown GAC cells exhibit significantly inhibited proliferative and invasive properties.

Conclusion
High ABCA1 expression promotes an adverse immune microenvironment and low survival rates in patients with GAC. Furthermore, ABCA1 and ABCA1-producing macrophages may serve as novel molecular targets in GAC treatment.
Land use/land change detection and determination of land surface temperature variation in green belt (Nasirabad) district of Balochistan, Pakistan
Authors: Raza Ali , Syed Neyha Rubab , Fahmeed Romana , Acharki Siham , Hussain Sajjad , Zubair Muhammad , Almohamad Hussein , Alao Joseph Omeiza , Rahman Md. Naimur , Abdo Hazem Ghassan 
Published: October 2023

AbstractThe current study determined the changes in Land Use/Land Change (LU/LC) and variation in land surface temperature (LST) in the Green Belt (Nasirabad district) area of Balochistan, Pakistan. To achieve this, we used GIS software (ArcMap 10.7.1) to analyze remote sensing data acquired from Landsat imagery taken in 1993, 2003, 2013, and 2023. A supervised classification technique using the maximum likelihood algorithm (MLC) was applied to generate a ground-truth LU/LC classification. Based on our findings, almost 415.28 km2(− 12.89%) of formerly undeveloped land has been transformed into urban neighborhoods and green spaces during the last three decades. Between 1993 and 2023, the study area gained 288.29 km2(8.94%) of vegetation and 136.10 km2(4.22%) of settled land. Minimum, maximum, and average LST changes were recorded as 7.50, − 5.06, and 1.22 °C for the whole thirty years. Overall, the analysis data showed that an increase in human settlements in the area investigated led to a rise in mean LST (1.22 °C). Finally, GIS and RS may be used together to track land usage over time, a crucial piece of data for eco-friendly planning. While the LU/LC and LST provide valuable insights into the rational and optimal use of land resources, the implications of policy remain constrained.
Design of a cable-driven parallel robot for landmine detection
Authors: Jomartov Assylbek , Tuleshov Amandyk , Kamal Aziz , Abduraimov Azizbek 
Published: October 2023

AbstractA cable-driven parallel robot (CDPR) for landmine detection, mounted on a vehicle is developed in this work. In the CDPR, the end effector (EE) is suspended on flexible cables, in contrast to the rigid links in traditional parallel robots. Compared to traditional parallel robots, the CDPR have lower inertial characteristics and higher payload-to-weight ratio, resulting in a high speed. The CDPR for landmine detection operates in search mode, lowers the end EE to the possible lower position and the metal detector scanning the minefield. After scanning the area of the minefield, limited by the workspace of the CDPR in the X, Y plane, the information received is transmitted to the sappers. Tests of a prototype of a CDPR for landmine detection showed good performance of its work for detecting landmine.
Application of microalgal-ZnO-NPs for reusing polyester/cotton blended fabric wastes after modification by cellulases enzymes
Authors: Darwesh Osama M. , Al-Balakocy Naser G. , Ghanem Ahmed , Matter Ibrahim A. 
Published: October 2023

AbstractPolyester/cotton (PET/C) blended fabric wastes are produced daily in huge amounts, which constitutes an economic loss and an environmental threat if it is not reused appropriately. Modern textile waste recycling technologies put much effort into developing fabric materials with unique properties, such as bioactivity or new optical goods based on modern technologies, especially nano-biotechnology. In this study, zinc oxide nanoparticles (ZnO-NPs) were biosynthesized using the aqueous extract of Dunaliella sp. and immobilized on PET/C waste fabrics after enzymatically activated with cellulases. The produced Dunaliella-ZnO-NPs (10–20 nm with a spherical shape) were characterized by High-resolution transmission electron microscopy (HRTEM), Fourier-transform infrared spectroscopy (FTIR), X-Ray diffraction analysis (XRD), and Scanning electron microscopy-energy dispersive X-ray analyzer (SEM-EDAX), and some functional groups, such as CH, CO, NH, and CN (due to the presence of carboxyl, proteins and hydroxyl groups), were detected, revealing the biosynthesis of ZnO-NPs. The analysis showed that the resulting ZnO-NPS had potent antimicrobial effects, Ultraviolet (UV) protection capabilities, and no cytotoxic effects on the normal human fibroblast cell line (BJ1). On the other hand, enzymatic treatments of PET/C fabric waste with cellulases enhanced the immobilization of biosynthetic nanoparticles on their surface. Modified PET/C fabrics loaded with Dunaliella-ZnO-NPs showed antibacterial and UV protection capabilities making them an eco-friendly and cost-effective candidate for numerous applications. These applications can include the manufacture of active packaging devices, wastewater treatment units, and many other environmental applications.
Graphical abstract
Preoperative pulmonary evaluation to prevent postoperative pulmonary complications
Authors: Tuna Mehmet Eren , Akgün Metin 
Published: October 2023

AbstractPostoperative pulmonary complications (PPCs) arise from a complex interplay of patient, surgical, and anesthesia-related factors. Despite their significant impact, there are currently no standardized guidelines recommending a comprehensive preoperative approach to assessing patients with PPC risk factors. Preoperative pulmonary evaluation (PPE) plays a pivotal role in identifying underlying patient conditions, undiagnosed diseases and optimal treatments. PPE involves systematic identification of patient, surgical, and anesthesia-related risk factors. Severe PPCs include atelectasis, pneumonia, respiratory failure, pulmonary embolism, and worsening chronic lung disease. Surgical urgency, type, duration, approach of the surgical procedure, and comorbidities influence PPC rates, with cardiac, thoracic, abdominal, and vascular surgeries being particularly vulnerable.Patient-related risk factors encompass non-pulmonary and pulmonary factors. Aging populations increase surgical demand, with advanced age and frailty predicting higher morbidity and mortality risks. Conditions like congestive heart failure, obesity, obstructive sleep apnea, and smoking heighten PPC risks. Asthma, chronic obstructive pulmonary disease, interstitial lung diseases, pulmonary hypertension, previous pulmonary thromboembolism, acute respiratory infections, and COVID-19 impact pulmonary risk profiles. Surgery and anesthesia-related risk factors include the site of surgery, operation time, and emergency surgery. Surgery near the diaphragm elevates PPC risk, while longer operation times correlate with increased PPC incidence. Emergency surgeries pose challenges in risk assessment. Anesthetic techniques influence outcomes, with regional anesthesia often preferable. Neuromuscular blocking agents impact PPCs, and protective ventilation strategies can mitigate complications.As current literature lacks a comprehensive approach to PPE, in this review, we present a comprehensive approach to preoperative pulmonary approach to surgical patients to help in risk stratification, further optimization, as well as shared decision making between the surgeon and the patients and their family prior to consenting for a major surgical procedure.
Graphical Abstract
Digital real estate: a review of the technologies and tools transforming the industry and society
Authors: Naeem Nida , Rana Irfan Ahmad , Nasir Abdur Rehman 
Published: October 2023

AbstractReal estate plays a crucial role in driving national economies. However, the process of transferring properties and engaging with various stakeholders can be hindered by a lack of adequate information, complex procedures, and excessive paperwork. The advent of digital real estate has revolutionized the industry and how stakeholders interact. The present study aims to conduct a bibliometric and systematic review of digital real estate, utilizing historical, institutional, country, and keyword analyses for the bibliometric review and Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines for the systematic review. Through thematic analysis, the study identified four key themes for transforming digital real estate: information communication technologies, data collection technologies, data networking tools, and digital decision-making systems. Additionally, the study proposes a digital real estate transformation framework that can assist stakeholders, urban planners, and decision-makers in embracing digital tools and technologies. The study concludes that digital real estate has the potential to revolutionize future urban planning and real estate development through the use of decision support systems and advanced technologies.