bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estimation of genetic parameters of the productive and reproductive traits in Iranian Holstein cattle using single and repeated records
Authors: Tohidi Reza , Nazari Behrouz Mohammad 
Published: April 2023

Abstract

This study estimated the genetic parameters of productive and reproductive traits of Iranian Holstein cattle from data recorded between 2006 to 2018. The data analysis was performed using an animal model, including the record of the first parity and the first three lactation records. Heritability values for milk, fat, and protein traits using a single record animal model were 0.29 ± 0.005, 0.22 ± 0.005, and 0.24 ± 0.005, respectively. The heritability of these traits based on a repeated records animal model was estimated to be 0.19 ± 0.001, 0.15 ± 0.005, and 0.17 ± 0.006, respectively. Furthermore, the heritability of age at first calving (AFC) and length of lactation (LL) traits were 0.16 ± 0.004 and 0.02 ± 0.002, respectively. Estimated repeatability for milk, fat, and protein production was 0.38 ± 0.002, 0.34 ± 0.002, and 0.36 ± 0.002, respectively. Positive genetic changes occurred over the years of the study for production traits. Evaluation of the effect of herd-year-season (HYS) on the productive traits revealed that the management and environmental conditions improved. The average estimate of heritability for milk, fat, and protein yields and AFC indicates the possibility of genetic improvement for these traits. Furthermore, the repeatability values show that the selection process can be performed based on the first lactation record. The positive genetic trend of productive traits validates the positive response to selection in Iranian Holstein cattle. Consequently, improving environmental and management conditions in Iranian dairy cattle herds is recommended, which will positively affect reproductive traits.
TBX21 of Major Depressive Disorder (MDD) Seems to Interfere in The Alzheimer’s-Related Peripheral Immunity Impairment in Late-Onset Alzheimer's Disease (LOAD)
Authors: Ajamian Farzam , Langroudi Seyede Razyie Fatemi , Zeinaly Mahsa 
Published: April 2023

Abstract
The involvement of the peripheral immune system has been addressed in the etiology of neurodegenerative disease. Recent Genome-wide association studies have identified several candidate immune genes linked to neurodegenerative diseases including Late-Onset-Alzheimer’s Disease (LOAD) and Major Depressive Disorder (MDD). TBX21 gene which drives Th1 immune response has been linked to the MDD phenotype. In this study, we found that the TBX21 “depressive gene” has significantly elevated expression mRNA levels in the leukocytes of peripheral blood in patients with Late-Onset-Alzheimer’s Disease (p<0.0001). We also found an upward trend of TBX21 expression with an increase in age in LOAD patients compared to the control group (P<0.05; CI=95%). Using the Tetra ARMS-PCR method, two rs41515744 and rs17244587 polymorphisms of the TBX21 immune gene were genotyped in 194 LOAD and 200 control subjects. We found that the TT genotype of rs41515744 plays a protective role in LOAD incidence as it attenuates the expression of TBX21 in the control group. We also found no significant genotypic difference exists for either studied SNPs between LOAD patients and control compartments although the dominant model of rs41515744 represented a substantial association with LOAD (p=0.019). We used in silico approach to explore potential effects imparted by these SNPs in LOAD pathogenesis. Collectively, our results show for the first time the impact of the TBX21 “depressive” gene in LOAD development. The elevated TBX21 mRNAs in the WBCs of LOAD patients might be related to peripheral immune system impairment and, as a potential biomarker for early AD diagnosis.
Surgical techniques and stoma-related complications associated with emergency stoma creation
Authors: Shiraishi Takuya , Ogawa Hiroomi , Naomi Satoh , Shioi Ikuma , Shibasaki Yuta , Osone Katsuya , Okada Takuhisa , Sano Akihiko , Sakai Makoto , Sohda Makoto , Shirabe Ken , Saeki Hiroshi 
Published: April 2023

Abstract
Background Determination of risk factors for stoma-related complications associated with emergency stoma creation may impact reducing complications and improving the quality of life of ostomy patients; however, there are few reports on stoma-related complications associated with emergency stoma creation. Our study aimed to identify the risk factors associated with stoma-related complications after emergency surgery, and evaluate surgical techniques for good stoma creation in the emergency setting.Methods A retrospective analysis of patient and surgical characteristics was performed in 104 consecutive patients who underwent ileostomy or colostomy as emergency surgery between January 2020 and December 2022. Univariate and multivariate analyses of patient and surgical characteristics were conducted to compare cases with and without stoma-related complications during emergency stoma creation.Results Preoperative stoma site marking was performed in 70 (67.3%) patients. Colostomies and ileostomies were performed in 78 (75.0%) and 26 (25.0%) patients, respectively. The skin bridge technique was used in 13 (12.5%) patients. There were 62 (59.6%) patients who were diagnosed with stoma-related complications. Peristomal skin disorders (47.1%) were the most common complication, followed by mucocutaneous separation (31.7%) and stoma retraction (19.2%). Body mass index (BMI) (odds ratio [OR], 5.570; 95% confidence interval [CI], 1.233–25.167; p = 0.026), skin bridge technique (OR, 0.144; 95% CI, 0.031–0.670; p = 0.014), and stoma height (OR: 0.134, 95% CI: 0.038–0.469, p = 0.002) were independent risk factors for stoma-related complications after emergency stoma creation in the multivariable analysis.Conclusions In emergency stoma creation, higher BMI and lower stoma height are associated with stoma-related complications. Furthermore, using the skin bridge technique could reduce the risk of stoma-related complications after emergency stoma creation.
Mapping the landslide susceptibility based on an IV-RF Model with revised slope units：A case study of Junlian County，Sichuan Province
Authors: Qian Lijun , Ou Lihua , Li Guoxin , Cheng Ying , wu xiaoming , li qingyang 
Published: April 2023

Abstract
Evaluating landslide susceptibility is a key objective of preliminary research in landslide management and land use planning. Using the revised slope units as an evaluation unit, an information volume method-random forest (IV-RF) model is used to assess the landslide susceptibility in the transitional zone from the basin to the mountainous area. First, based on historical landslide data, an inventory of landslide was compiled using high-precision satellite identification technique supplemented by field surveys. Nine landslide influence factors, including elevation, slope, aspect, land surface relief, lithology, distance from fault, distance from river, distance from road, and land use, were selected via Pearson correlation analyses, excluding the rainfall factor and land surface relief factor, to construct the model and calculate the information values. The RF model was used to calculate the weights of the 8 influential factors. The accuracy of the landslide susceptibility map generated by the IV-RF model was examined by the ROC curve, and the AUC value was 0.945. The results showed that the IV-RF model based on the revised slope units for landslide susceptibility assessment is a reliable and effective method.
Critical care nurses' experiences of caring challenges during post-resuscitation period: a conventional content analysis
Authors: Zali Mahnaz , Rahmani Azad , Hassankhani Hadi , Namdar-Areshtanab Hossein , Gilani Neda , Azadi Arman , Ghafourifard Mansour 
Published: April 2023

Abstract
Background: Patients in the post-resuscitation period experience critical conditions and require high-quality care. Identifying the challenges that critical care nurses face in caring for resuscitated patients is paramount for improving the quality of care.
Aim: This study aimed to identify the challenges faced by critical care nurses during the post-resuscitation period.
Methods: A qualitative study was conducted through semi-structured interviews. Sixteen nurses working in the intensive care units of three teaching hospitals were selected using purposive sampling. Data were analyzed using conventional content analysis.
Results: Participants experienced individual, interpersonal, and organizational challenges in providing post-resuscitation care. The most important challenges include inadequate clinical knowledge and experience, poor management and communication skills, lack of support from nurse managers, role ambiguity, risk of violence, and inappropriate attitudes of physicians regarding nurses’ roles. Moreover, nurses had a negative attitude towards resuscitated patients.
Conclusions: Critical care nurses face several challenges in the post-resuscitation period. These challenges should be addressed through appropriate measures and strategies to improve the quality of post-resuscitation care.
Relevance for clinical practice: In-service education, debriefing after resuscitation, promotion of inter-professional collaboration, and provision of support from nursing managers can be considered to improve the quality of post-resuscitation care and reduce challenges.
Development of a Flexible and Stretchable Wireless Pressure Sensor- Integrated Smart Stent for Continuous Monitoring of Cardiovascular Function
Authors: Oyunbaatar Nomin-Erdene , Shanmugasundaram Arunkumar , Lee Dong-Weon 
Published: April 2023

Abstract
The development of smart stents that can monitor cardiovascular diseases and communicate vascular abnormalities to medical doctors has received significant attention in the field of biomedical engineering. Various in-situ fabrication strategies have been proposed to simultaneously fabricate the smart stent and pressure sensor, reducing the risk of sensor detachment due to the flow of blood. However, the rigidity of the wireless pressure sensor still limit the practical utility of these devices. In this study, we propose a flexible and stretchable wireless pressure sensor-integrated smart self-reporting stent. The fabrication process has been optimized to produce a serpentine-shaped wireless pressure sensor that matches the shape and flexibility of the polymer stent strut. This approach minimizes the interfacial effect between the wireless pressure sensor and the stent strut, ensuring the accuracy and reliability of the information provided by the smart stent. We thoroughly investigated the structural integrity, resonance frequency, stretchability, flexibility and radial force of the fabricated smart self-reporting stent under different conditions. The device demonstrated exceptional sensitivity, as low as 0.15 MHz/mmHg. The feasibility of the proposed smart stent is demonstrated by implantation into the arteries of a three-dimensional (3D) phantom. The obtained results and the flexible and stretchable nature of the proposed smart self-reporting stent demonstrate its potential to be effective, and durable for monitoring the functional dynamics of the heart and detecting in-stent restenosis.
Performance of flower-like ZnO/NiO/C bimetallic nanomaterials as anodes of lithium-ion batteries
Authors: Li PeiZhi , Yang HaiChao , Cheng XiaoLiang , Chen ZhiGang , Wang Tao , Zhang Xing , Yang XiaoWu , Dai FangFang , Zhang Kang , Wang Chen 
Published: April 2023

Abstract
In this paper, as negative active materials for lithium-ion batteries, different porous nano-metal oxides NiO/C and ZnO/C and flower-like ZnO/NiO/C bimetallic nanomaterials were synthesized in this study using the straightforward solvothermal and calcination methods. The reaction conditions of precursor MOF-5-Zn, MOF-74-Ni, and Zn/Ni-MOF-2 were optimized by thermogravimetric analysis and conditional variable control. Second, X-ray diffraction (XRD), Fourier infrared spectroscopy (FT-IR), and X-ray photoelectron spectroscopy(XPS) were used to describe the materials' structure. The micromorphology of the material was analyzed by SEM. Finally, its electrochemical performance was tested by an electrochemical test. To confirm that their electrochemical performance is enhanced by their special structure, these materials were tested and compared for their electrochemical performance, and the finding revealed that the specific capacities of ZnO/NiO/C, NiO/C, and ZnO/C were 1490 mAh g− 1, 935 mAh g− 1 and 987 mAh g− 1 respectively for the initial discharge and 1078, 107, and 675 mAh g− 1 independently after 400 turns. The three independently measured capacities were 1078 mAh g− 1, 107 mAh g− 1, and 675 mAh g− 1. The corresponding capacity retention rates were 72.3%, 11.4%, and 68.4%. The prepared flower-like ZnO/NiO/C bimetallic nanomaterials have a significant specific surface area (596.34 m2 g− 1), a great initial specific capacity (1490 mAh g− 1), a strong cycling performance (1078 mAh g− 1 at 100 mA g− 1 after 400 cycles) and a good multiplicative performance. Characterization has shown that the material has exceptional characteristics because of its distinctive floral structure, many pores, and the interaction of several components. The volume expansion's issue has been resolved. The lithium-ion insertion/removal path is shortened, the lithium-ion diffusion channel is increased, and the service life of the battery is greatly enhanced. It offers a chance to research novel anode materials.
E-WE thrombin, a protein C activator, reduces disease severity and spinal cord inflammation in relapsing-remitting murine experimental autoimmune encephalomyelitis
Authors: Verbout Norah G , Su Weiping , Pham Peter , Jordan Kelley , Kohs Tia CL , Tucker Erik I , McCarty Owen JT , Sherman Larry S 
Published: April 2023

Abstract
Objective: Relapses in patients with relapsing-remitting multiple sclerosis (RRMS) are typically treated with high-dose corticosteroids including methylprednisolone. However, high-dose corticosteroids are associated with significant adverse effects, can increase the risk for other morbidities, and often do not impact disease course. Multiple mechanisms are proposed to contribute to acute relapses in RRMS patients, including neuroinflammation, fibrin formation and compromised blood vessel barrier function. The protein C activator, E-WE thrombin is a recombinant therapeutic in clinical development for its antithrombotic and cytoprotective properties, including protection of endothelial cell barrier function. In mice, treatment with E-WE thrombin reduced neuroinflammation and extracellular fibrin formation in myelin oligodendrocyte glycoprotein (MOG)-induced experimental autoimmune encephalomyelitis (EAE). We therefore tested the hypothesis that E-WE thrombin could reduce disease severity in a relapsing-remitting model of EAE.
Methods: Female SJL mice were inoculated with proteolipid protein (PLP) peptide and treated with E-WE thrombin (25 µg/kg; iv) or vehicle at onset of detectable disease. In other experiments, E-WE thrombin was compared to methylprednisolone (100 mg/kg; iv) or the combination of both.
Results: Compared to vehicle, administration of E-WE thrombin significantly improved disease severity of the initial attack and relapse and delayed onset of relapse as effectively as methylprednisolone. Both methylprednisolone and E-WE thrombin reduced demyelination and immune cell recruitment, and the combination of both treatments had an additive effect.
Conclusion: The data presented herein demonstrate that E-WE thrombin is protective in mice with relapsing-remitting EAE, a widely used model of MS. Our data indicate that E-WE thrombin is as effective as high-dose methylprednisolone in improving disease score and may exert additional benefit when administered in combination. Taken together, these data suggest that E-WE thrombin may be an effective alternative to high-dose methylprednisolone for managing acute MS attacks.
A Dynamic Big Data Fusion and Knowledge Discovery Approach for Water Resources Based on Granular Computing and Three-Way Decision
Authors: Zhang Yongheng , Zhang Feng , Ai Xiaoyan 
Published: April 2023

Abstract
The purpose of this study was to achieve intelligent fusion and realize the unified modeling requirements of multi-source heterogeneous big data granulation and knowledge discovery in the field of water resources. This paper takes the management and decision-making data granulation and knowledge discovery driven by big data in the field of water resources as the research object, and uses the method of combining domain numerical simulation and model verification to systematically study decision-oriented big data multi-granularity granulation and knowledge discovery. The method reveals the mechanism and law of the transformation of management and decision-making paradigm driven by big data, and provides a complete solution method for the knowledge discovery of big data in various fields. The results obtained in this study include built a granulation mechanism and semantic fusion method of multi-source heterogeneous big data, and the multi-scale granular structure of big data is revealed, established and evaluated, and multi-granularity feature discovery and granulation method and multi-granularity uncertainty reasoning and knowledge discovery method. It was found that the formation mechanism of granular computing and three-way decision can be explained for dynamic big data fusion and knowledge discovery. The results indicated that the proposed dynamic big data fusion and knowledge discovery approach for water resources can reveal the semantic connotation and relationship of all kinds of resource objects in big data, so that to effectively support big data granulation and knowledge discovery in the field of water resources decision-making. Compared with the existing dynamic big data correlation analysis method, the proposed dynamic big data multi-granularity fusion method greatly reduces the data processing time, which fully shows that the proposed dynamic big data multi-granularity fusion and decision-making method has better performance.
Expression, Clinical Significance, and Functional Determination of the transmembrane channel-like protein 8 (TMC8) in clear cell renal cell carcinoma
Authors: Zhu Xingshu , Wu Zhongqiu , Chen Liuyan , Deng Wenyi , Zhang Jianan , Zhu Lingfeng , Zhao Hu , Chen Jin 
Published: April 2023

Abstract
Background The TMC family is a group of transmembrane proteins that function as mechanotransduction devices in the spinal cords of animals. They are involved in the transmembrane transport of ions. Previous studies have shown that TMCs significantly influence the proliferation and cell cycle of human cancers. However, it is unclear how TMC8 affects the occurrence and progression of clear cell renal cell carcinoma (ccRCC).Methods To address this issue, we downloaded ccRCC RNA-seq data from the Cancer Genome Atlas Database. We screened for differentially expressed genes (DEGs) using R software and intersected them with TMC family genes to obtain co-expression genes. We then used survival analysis to identify TMC8 as the target molecule. We verified the significance of TMC8 expression levels in clinicopathological features, survival prognosis, and immune microenvironment using R software and multiple databases. We also screened the top 100 genes most relevant to TMC8 in ccRCC on the LinkedOmics online website and performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses using the DAVID database. We further analyzed the high- and low-expressed DEGs of TMC8 using R language and re-verified the gene set enrichment analysis (GSEA) enrichment pathway. To validate our results, we performed quantitative real-time polymerase chain reaction (qRT-PCR) and western blotting (WB) to detect TMC8 expression in ccRCC cell lines. We also performed cell proliferation, invasion, migration, cell cycle, and apoptosis assays to verify the effect of TMC8 expression levels on ccRCC cells.Results Our results show that TMC8 is abundantly expressed in ccRCC and is correlated with poor prognosis and clinicopathological staging (P < 0.05). TMC8 expression is positively correlated with T cells, T helper cells, and cytotoxic T lymphocytes in ccRCC (P < 0.001). The enrichment analysis revealed that TMC8 and related genes were enriched in pathways relevant to primary immunodeficiency, Th1 and Th2 cell differentiation, and T17 cell differentiation. The GSEA analysis showed that high TMC8 expression is associated with several immunological pathways. Our experiments demonstrated that TMC8 deletion decreased the ability of ccRCC to proliferate, invade, migrate, and undergo apoptosis, and halted the cell cycle in the G0/G1 phase.Conclusions Our findings suggest that TMC8 plays a critical role in the development of ccRCC and has the ability to identify and forecast the prognosis of ccRCC patients.
Automatic Modulation Recognition in Two- Way Relaying Channel with the Presence of Relay Transceiver Hardware Impairments
Authors: Tayakout Hakim , Bouchibane Fatima Zohra , Boutellaa Elhocine , Dayoub Iyad 
Published: April 2023

Abstract
Modulation recognition (MR) is well-known as one of the enabling tools, which aims to further afford efficient and secure communications in cognitive radio (CR) context for 5G and beyond networks. In this Paper, we propose a robust MR approach designed for two-way MIMO cooperative relaying network by specifically taking into account two crucial constraints: hardware impairments at relay transceiver and co-channel interference. To mitigate the effect of these impairments, feature-based artificial neural network (ANN) recognizer combined with a nonlinear design of the relay processing matrix with dirty paper coding (DPC) is investigated in this work. Simulations using two receive criterions, namely DPC-ZF and DPC-MMSE, have been carried out to validate the effectiveness of the proposed approach. It has been proved that both DPC-ZF and DPC-MMSE provide high modulation recognition, whatever the impairments level at the relay transceiver.
Isolation, culture and biological characteristics of duck periosteum stem cells in vitro
Authors: wang yaqin , liu Yanchen , Zong Junlin , Guan Weijun 
Published: April 2023

Abstract
Mesenchymal stem cells (MSCs), known as seed cells, have been shown to be useful in repairing damaged or diseased tissues and organs in the past. However, its clinical application in vivo is limited by individual differences and diversity of sources. In contrast, periosteum or periosteum-derived stem cells (PSCS) are more appropriate for fracture or cartilage damage. PC is also known as MSCs, but it is not clear whether PC is a class of cells of MSCs. Our objective was to isolate the PC of the periosteum of the duck embryo tibia and study its properties. The femoral periosteum of duck embryos at 12 days of age was easily collected, and the isolated cells showed typical stem cell morphology by enzyme digestion and adhesion method. Both immunofluorescence detection and RT-PCR showed that PSC could express CD90, CD29, CD166 and CD44 on the surface of MSCs, but not CD34 on the surface of hematopoietic stem cells. Under different culture conditions, PSC was proved to have the ability to differentiate into adipocytes, osteoblasts and chondroblasts in vitro. In addition, PC also has a strong ability to proliferate and self-renewal ability. In conclusion, our study suggests that PSCS may contain MSCs, which can be used as one of the candidate resources for clinical treatment of bone diseases.