bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dowry and Marital Coping: Predictors of Marital Satisfaction in Pakistani Women
Authors: Habiba Umm e , Kamal Anila 
Published: April 2023

Abstract
The purpose of the current study was to determine how dowry and marital coping affected marital satisfaction among Pakistani married women. A cross sectional survey was conducted to collect data from both working (n = 249) and non-working (n = 237) participants. Their age at marriage ranging from 16 to 38 years and the length of marriage of within or maximum 7 years and having at least one child. Dowry Scale (Sultana, 2002), Marital Coping Inventory (Bowman, 1990) and ENRICH Marital Satisfaction Scale (Fowers & Olson, 1993) were utilized. When the study variables were analyzed, significant negative association between negative impact of dowry and marital satisfaction and also significant relationship among dimensions of marital coping and marital satisfaction. Hierarchical Regression analyses indicated that negative impact of dowry is the stronger predictor of marital satisfaction. Step wise regression analyses indicated marital coping explained 38% variance in marital satisfaction. Initial investigations disregarded the influence of demographic factors (such as age at marriage, monthly income, number of children, employment status, and kind of marriage) on marital satisfaction. The present research contributes significantly to the growing body of knowledge on the causes and mechanisms those are previously unconsidered determinants of marital satisfaction.
Widespread presentation of brown tumors mimicking multiple myeloma
Authors: Duyck Julien , Spincemaille Katrien , Verfaillie Jan , Meert Caressa , Muylle Kristoff 
Published: April 2023

Abstract
Brown tumors or osteitis fibrosa cystica have become a rare presentation of primary hyperparathyroidism in up-to-date clinical practice. Here we describe a case of longstanding untreated hyperparathyroidism presenting itself with brown tumors in a 65-year old patient. During the diagnostic work-up of this patient bone SPECT/CT and 18F-FDG-PET/CT revealed multiple widespread osteolytic lesions. Differentiating from other bone tumors such as multiple myeloma is challenging. In this case the final diagnosis was made by integrating the medical history, biochemical diagnosis of primary hyperparathyroidism, pathological findings and medical imaging.
Deformation and failure mechanism of surrounding rock and control methods of deep gob-side entry: a case study
Authors: Yang Shang , Ning Jianguo , Li Xuehui , Wang Jun , Shi Xinshuai , Li Guangzhi 
Published: April 2023

Abstract
Considering the difficulty in controlling the surrounding rock in deep gob-side entry (GSE), with the 7312 head entry in Xinhe Coal Mine as the research background, the deformation and failure characteristics and causes of the surrounding rock in deep GSE were analyzed by on-site investigation, theoretical analysis and engineering practice. First, analysis model of Mohr stress circle was established, the response relationship between the stress and deformation of surrounding rock in the service period of the GSE was analyzed, and the main factors affecting the deformation and failure of the surrounding rock were identified. Furthermore, the principle of three-dimensional pressure relief and prevention in deep GSE was elaborated. Finally, a three-dimensional pressure relief and prevention technology system for deep GSE with “active stress intervention” as the core was proposed, and relevant supporting equipment were developed. On-site application shows that the three-dimensional pressure relief and prevention technology system can reduce the stress transmission, weaken the impact of mining stress, transfer the concentrated stress of the roadway surrounding rock, improve the stress environment of the GSE and strengthen the stability of the GSE. The research results provide a theoretical basis and engineering guidance for the surrounding rock control in deep GSE.
Comparative contribution of substrate structure and microbial composition to volatile fatty acid production in the fermentation of corn stover
Authors: Zhang Haiyan , Zhang Wanqin , Cao Qitao , Wang Shunli , Zhu Zhiping , Dong Hongmin 
Published: April 2023

Abstract
Rumen fluid is anatural and green catalyst that can efficiently degrade biomass into volatile fatty acid (VFA) which can be used toproducevalue-addedmaterials. But the essence of high degradation efficiency in the rumen has not been fully analyzed. This study comparativelyinvestigated the contribution of substrate structure and microbial composition to volatile fatty acid production in the fermentation of corn stover. The ball milled corn stover were innovatively applied to ferment with the rumen fluid collected at different digestion times. And exogeneous cellulaseaddition were also applied to the ruminal fermentation to further reveal the inner mechanism. With prolonged digestion time, the microbial community relative abundance levels of Bacteroidetesand Firmicutes increased from 29.98% to 72.74% and decreased from 51.76% to 22.11%, respectively. The highest VFA production of the corn stover was achieved via treatment with the rumen fluid collected at 24 h which was up to 9508 mg/L. The ball milled corn stover achieved high VFA production because of the more accessible substrate structure. The application of exogenous cellulasehas no significant influenceto the ruminal fermentation. The microbial community abundance contributed more to the VFA production compared with the substrate structures.
Identification of anoikis-related genes signature to predict the prognosis in cervical cancer
Authors: Shi Shanping , Tang Xiaojian , Huang Jiaqian , Xiang Nan , Chen Chen , Feng Weiwei , Liu Hua 
Published: April 2023

Abstract
Anoikis is a special programmed cell death mode, and resistance to anoikis is a prerequisite for malignant tumors to acquire invasion and metastasis characteristics. The expression and impact of anoikis-related genes (ARGs) in cervical cancer (CC) are still unknown. The aim of this study is to reveal the prognostic role of ARGs in survival, immune infiltration, and drug sensitivity of CC patients, and to identify potential clinical treatment targets. RNA seq and clinical data of CC patients were downloaded from the TCGA database and GEO database, and gene copy data was downloaded from UCSC. Bioinformatics methods was used to screen differentially expressed ARGs related to prognosis, and conducting data analysis using R software package and Perl software. TISCH database was used to analyze the expression of ARGs in tumor microenvironment (TME) at the single cell level. MMP3 on chromosome 11 is highly expressed in CC tissue and may be a key gene for CC progression. The significant activation of the cycline-cycline receptor interaction, ECM-receptor interaction, JAK-STAT signaling pathway, and focal adhesion pathway may be associated with poor prognosis in CC patients. The decrease in CD8 + T cells and the increase in M0 macrophages may indicate a high-risk prognosis for patients. Bcl-2 inhibitor (ABT-737), axitinib, dihydrorotenone, sorafenib, venetoclax, and nilotinib are optional drugs for early treatment of CC. In the future, ARGs based miRNAs, small molecule drugs/inhibitors, peptide/protein specific therapies, and specific antibodies may be developed for early diagnosis and clinical treatment of CC.
Interplay Between Superworm and its Gut Microbiome in Facilitating Polyethylene Biodegradation by Host Transcriptomic Analysis: Insights from Xenobiotic Metabolism
Authors: Kim Hong Rae , Lee Chaerin , Shin Hyeyoung , Koh Hye Yeon , Lee Sukkyoo , Choi Donggeon 
Published: April 2023

Abstract
Plastics are a serious cause of environmental pollution, and microplastics pose a threat to human health. To solve this problem, the plastic-degrading mechanism of insect larvae is being investigated. Symbiosis between insect larvae and microorganisms plays a crucial role in this process. The aim of this study was to examine the metabolic pathways involved in polyethylene metabolism, the interaction between the host and microorganisms, and the role of superworms in promoting plastic degradation in polyethylene-fed superworms. Through host transcriptomic analysis, we identified 429 up-regulated and 777 down-regulated genes and analyzed their functions using the Kyoto Encyclopedia of Genes and Genomes and Gene Ontology databases. We found that insect larvae and their gut microbiomes interacted in two ways to enhance their polyethylene degradation ability. First, polyethylene metabolites activate the lipid metabolism pathway in insects, promoting the synthesis of carboxylic ester hydrolases and accelerating polyethylene degradation. Second, strains that degrade polyethylene cause infection in the host, which activates the immune response and generates reactive oxygen species (ROS). ROS are critical for insect immune responses and for the initial oxidation of polyethylene. As polyethylene degradation is promoted, polyethylene-degrading strains become dominant, and this interaction is strengthened. Furthermore, we suggest for the first time that xenobiotic metabolism is critical for polyethylene metabolism in superworm guts. In particular, enzymes involved in xenobiotic metabolism phase 2, such as glutathione S-transferase and uridine diphosphate glycosyltransferase, convert lipophilic plastic degradation intermediates into water-soluble forms and promote polyethylene degradation.
Quantitative attribution of the temperature associated with winter extreme cold events in China
Authors: Wang Weiwei , Zhang Tuantuan , Chen Junwen , Li Qingquan , Yang Song , Deng Yi 
Published: April 2023

Abstract
Extreme cold events exert enormous impacts on the ecosystems and human health. A quantitative attribution analysis of the surface temperature anomalies associated with extreme cold events in China is conducted using an updated version of the coupled atmosphere-surface climate feedback response analysis method. For both extreme warm and cold years, the effects of anomalous surface albedo, water vapor, atmospheric dynamics, and aerosols are the major positive contributors, and the processes associated with surface dynamics provide a major negative effect. Specifically, the effect of surface albedo (water vapor) is directly linked to the change in local snow cover (precipitable water) over China. More local snow cover (precipitable water) provides a cooling (warming) effect and vice versa. The process associated with atmospheric dynamics exhibits an asymmetric contribution for the extreme warm and cold years. It provides a warming effect over most of China in the extreme warm years, which is possibly related to the nation-wide warm air advection. On the other hand, the effect of atmospheric dynamics displays large regional and year-to-year variations for the cold cases. In addition, a considerable impact of anthropogenic aerosols is detected over central-southern China, which is possibly related to the emission reduction policies in China since 2013. Although clouds show only a moderate impact on the national-averaged temperature anomalies, they provide a considerable effect over southern China.
A Deep Learning Approach to Analyzing and Evaluating Historic Urban Landscapes
Authors: DERBEL Rami , MISHIMA Nobuo 
Published: April 2023

Abstract
The integration of new buildings into historic urban landscapes (HULs) is a complex task that involves input from multiple stakeholders with varying perspectives. This often leads to a time-consuming and contentious decision-making process due to the lack of reliable data and the reliance on personal interpretations. Previous studies have used deep learning methods in combination with expert evaluations to assess the quality of building integration in HULs. However, these studies have been found to be biased and have not succeeded in simplifying the decision-making process. The current study aims to introduce a new approach to the analysis of different urban spaces that addresses the limitations of traditional methods by using minimal human intervention. The study utilizes a comparative approach algorithm that compares two different HUL areas, and the resulting data are analyzed using a heatmap visualization method. The study concludes that this approach produces more accurate and unbiased results than traditional methods, and significantly reduces the time required for analysis. By identifying key elements of the HUL that define the area's identity, this method provides valuable information for urban planners and architects to make informed decisions when working within HULs.
Parametric Modeling Using the Bim Methodology for the Process of Pathology Identification in Buildings
Authors: Junior José Carlos dos Santos , Santos Joab Manoel Almeida , Santos Mateus Rocha de Almeida 
Published: April 2023

Abstract
The storage of pathology data in civil construction refers to a set of specific information related to the study of the health of structures and materials. Maintenance and repair history is important for monitoring the condition of the structure and further damage. BIM consists of a set of computational technologies and work methods whose objective is to create models that completely represent the building. The present work intends to present the contribution of the use of BIM in the identification of pathologies in buildings, presenting an information management system that allows the organization and efficient sharing of data. The methodology of this work consists of presenting a 3D virtual model of a building presenting parameterizations referring to the structure and materials of essential elements for the identification of future pathologies, with this information added that will be stored for the characterization of the elements. The REVIT software allowed a parametric modeling that adds the necessary information for evaluation and modifications during the useful life of the building, in addition, it was observed that it is important to create a virtual model that guarantees that the information is stored safely and reliable to preserve data integrity.
Enhancement of the Electronic and Optical Properties of Superalkali Metal Adsorbed Al 10 N 10 Nanocage
Authors: Lakhera Shradha , Rana Meenakshi , Devlal Kamal , Dhuliya Vivek , Padalia Diwakar 
Published: April 2023

Abstract

The computational designing of the Li4N and Li4O as efficient dopants for Al10N10 nanocage has been carried out in the present study for the applications of high-performance Nonlinear Optical materials. The density functional theory was employed with UBVP86-6-311G(++d,p)def2D2V set of functions for studying the enhanced structural, electronic, and optical properties of Al10N10 nanocage after the exohedral substitution of Li4N and Li4O. The density of state calculations reveals the formation of a new high energy highest occupied molecular orbital in the combined structure of superalkali and nanocage. This seems to result in a major decrement in the band gap of the complex structure Al10N10+Li4N (0.878eV) and Al10N10+Li4O (0.872eV). The charge transfer from the metal structure towards the nanocage was supported by the natural bond orbital charges. The doping of superalkali gave an intensified value of dipole moment from 1.53 Debye (nanocage) to 10.27 and 14.93 Debye for Al10N10+Li4N and Al10N10+Li4O respectively. This supported the high electronegativities and high intramolecular charge transfer for these complexes. The vibrational spectra reveal the high-intensity modes for stretching the interconnecting bonds between the nanocage and metal structure. The first-order hyperpolarizability for nanocages was remarkably enhanced after superalkali doping. The first-order hyperpolarizability for Al10N10+Li4N and Al10N10+Li4O were computed as 173.13×10-30 and 172.45×10-30 esu respectively. Thus, the present investigation can be the basis for the experimental fabrication of highly efficient NLO materials and will attract the scientific community in designing high-performance NLO materials with exceptional features for widespread applications in optoelectronics.
Synergistic anticancer activity of combined ATR and ribonucleotide reductase inhibition in Ewing's sarcoma cells
Authors: Sturm Max-Johann , Henao-Restrepo Julián Andrés , Becker Sabine , Proquitté Hans , Beck James F. , Sonnemann Jürgen 
Published: April 2023

Abstract
Purpose Ewing's sarcoma is a highly malignant childhood tumour whose outcome has hardly changed over the past two decades despite numerous attempts at chemotherapy intensification. It is therefore essential to identify new treatment options. The present study was conducted to explore the effectiveness of combined inhibition of two promising targets, ATR and ribonucleotide reductase (RNR), in Ewing's sarcoma cells.Methods Effects of the ATR inhibitor VE821 in combination with the RNR inhibitors triapine and didox were assessed in three Ewing's sarcoma cell lines with different TP53 status (WE-68, SK-ES-1, A673) by flow cytometric analysis of cell death, mitochondrial depolarisation and cell cycle distribution as well as by caspase 3/7 activity determination, by immunoblotting and by real-time RT-PCR. Interactions between inhibitors were evaluated by combination index analysis.Results Single ATR or RNR inhibitor treatment produced small to moderate effects, while their combined treatment produced strong synergistic ones. ATR and RNR inhibitors elicited synergistic cell death and cooperated in inducing mitochondrial depolarisation, caspase 3/7 activity and DNA fragmentation, evidencing an apoptotic form of cell death. All effects were independent of functional p53. In addition, VE821 in combination with triapine increased p53 level and induced p53 target gene expression (CDKN1A, BBC3) in p53 wild-type Ewing's sarcoma cells.Conclusion Our study reveals that combined targeting of ATR and RNR was effective against Ewing's sarcoma in vitro and thus rationalises an in vivo exploration into the potential of combining ATR and RNR inhibitors as a new strategy for the treatment of this challenging disease.
Outcome of combined trabeculectomy with cataract surgery in patients on prostaglandin analogues and aqueous suppressants
Authors: PR Aswin , Mohan Neethu , Sundar Balagiri , Ponnat Arvin Kurian , Shanthi R , Krishnadas SR , Emily Schlein 
Published: April 2023

Abstract
Purpose: To compare the effect of prostaglandin analogues (PGA) against other glaucoma medications (Non-PGA) on the intraocular pressure (IOP) outcomes of combined trabeculectomy with phacoemulsification, and the conjunctival cell profile in persons with primary open-angle (POAG) and pseudoexfoliation glaucoma (PXFG)
Methods: Prospective cohort study was conducted among 116 patients with POAG or PXFG on glaucoma medications for a minimum of 3 months undergoing glaucoma triple procedure. Patients were divided into 2 groups (PGA and Non-PGA group) based on preoperative exposure to PGA. IOP outcomes were assessed for up to 2 years. Conjunctival biopsy specimens were obtained at the time of surgery and histopathological analysis was performed.
Results: 42 patients were in the PGA group and 67 in the Non-PGA group and 7 were lost to follow-up. Non-PGA group had lesser mean postoperative IOP and needed less postoperative medications compared to the PGA group in all visits up to 2 years. Non-PGA group had better complete success rate (50.7% vs 14.3%, P value <0.001). Kaplan Meier survival estimates showed significant difference in cumulative complete success rate between Non-PGA (67%) and PGA (26%) by 24 months (P value < 0.001). Cox proportional model showed the type of drug to be significantly associated with surgical failure. Histopathological analysis revealed the PGA group had higher numbers for each type of inflammatory cell (except Mast cells) compared to the Non-PGA group.
Conclusion: Patients on PGA are likely to have a higher postoperative IOP and may need more medications for IOP control after a glaucoma triple procedure.
NRTPredictor: identifying rice root cell state in single-cell RNA-seq via ensemble learning
Authors: Wang Hao , Lin Yunan , Yan Shen , Hong Jingpeng , Tan Jiarui , Chen Yanqing , Cao Yongssheng , Fang Wei 
Published: April 2023

Abstract
Background Single-cell RNA sequencing (scRNA-seq) measurements of gene expression show great promise for studying cellular heterogeneity of rice root. How precisely annotating cell identity is a major unresolved problem in plant scRNA-seq analysis due to the inherent high dimensionality and sparsity.Results To address this challenge, we present NRTPredictor, an ensemble-learning system, to predict rice root cell stage and mine biomarkers through complete model interpretability. The performance of NRTPredictor was evaluated using an external dataset, with 98.01% accuracy and 95.45% recall. With the power of the interpretability provided by NRTPredictor, our model recognizes 110 important marker genes, partially involved in the phenylpropanoid biosynthesis, that domain knowledge does not consider. Expression patterns of rice root could be mapped by the above-mentioned candidate genes, showing the superiority of NRTPredictor. Integrative bulk RNA-seq analysis we revealed aberrant expression of Epidermis and Cortex cell subpopulations in flooding, Pi stress and salt stress.Conclusion Taken together, our results demonstrate that NRTPredictor is a useful tool for automated prediction of rice root cell stage and provides a valuable resource for deciphering the rice root cellular heterogeneity and the molecular mechanisms of flooding, Pi stress and salt stress. Based on the proposed model, a free webserver has been established, which is available at http://bio.germplasmai.com.
The early infection characterization of septic arthritis by staphylococcus aureus after anterior cruciate ligament reconstruction in a novel rat model
Authors: Tong Kai , Wei Jian , Liu Zilin , Yang Xiaoming , Hu Yong 
Published: April 2023

Abstract
Background The present study aimed to explore the time of maximum bacterial load and main colonization knee site in bacterial infection process based on a novel rat model of septic arthritis (SA) after anterior cruciate ligament reconstruction (ACLR).Methods Ninety-five Wistar rats with unilateral ACLR, random enrolled into control surgery (CS) group; joint inject (JI) group; presoaking (PS) group, were injected with 30 µl sterile saline or 30 µl×107 colony forming units/ml Staphylococcus aureus via the knee joint or graft with presoaked Staphylococcus aureus during ACLR respectively. At 1, 4, 7, 11, and 14 days postoperatively, samples were harvested to evaluate progress of knee joint infection by postoperative body weight, body temperature, knee temperature, knee width, scales of tissue damage, serum inflammatory markers, microbiological counting, microcomputed tomography (Micro-CT), digital radiography, magnetic resonance imaging (MRI) examination, and scanning electron microscopy (SEM).Results No systemic infection was observed in all rats. Comparing with serum inflammatory markers, tissue scores of inflammatory reactions, bacterial counts in the CS group, these data were significantly elevated in the JI group and PS group. The bone mass around the bone tunnel was lower and the soft tissue of knee showed more obvious swelling on MRI in the infection groups than that in the CS group at 7 and 14 days postoperatively. Staphylococcus aureus clusters on the surface of screw and graft were observed in the infection group. The whole colony forming units of Staphylococcus aureus maintained a continuous upward trend peaking 7 and 11 days followed by a balanced curve in the infection groups. Bone and soft tissue were found to have more bacterial counts than graft and screws.Conclusion This animal model effectively mimics the acute knee infection after ACLR. We found that the bacterial colonization exhibited the peak of acute infection between 7 and 11 days postoperatively, with the major bacteria loads found in the bone, soft tissue.