bluuebunny/crossref_metadata_2025_split huggingface dataset:
Master Regulator Candidates in Bipolar Disorder: An in silico Transcriptome Analysis in Psychiatry
Authors: Ziani Paola Rampelotto , de Bastiani Marco Antônio , Scotton Ellen , Hizo Gabriel Henrique , de Carvalho Quênia , Rosa Adriane R 
Published: January 2023

Abstract
Bipolar disorder (BD) is a chronic and severe psychiatric disorder characterized by episodes of mood disturbance. Literature has already used systems-biology approaches based on transcriptomic analysis to unravel the complexity of this multifactorial disorder. Thus, our study aims to identify the peripheral master regulators (MRs) involved in distinct mood states of BD compared to healthy controls, their pattern of activity, and the biological processes associated with the disorder. Five microarray transcriptomics datasets were obtained from the Gene Expression Omnibus repository. We used master regulator analysis and functional enrichment analysis to find regulators associated with BD and their biological processes. There were 51 MRs candidates identified in BD, and two main MRs (DNMT1 and DMTF1) were present in the three mood states compared to the control. The primary biological process in the three phases of the disorder was related to the inflammatory or immune system. DNMT1 is a mammalian methyltransferase responsible for the catalysis and maintenance of DNA methylation - one of the essential epigenetic changes. The DMTF1 encodes a transcription factor that contains a cyclin D-binding domain - related to the cell cycle. Finally, many biological processes, including RNA metabolism, cellular respiration, and ribosome biogenesis, were found in BD. However, the function most important in BD was the inflammatory or immune system corroborating the role of inflammation as a therapeutic target in the field of Psychiatry. The search for biomarkers with clinical application in psychiatry is hugely relevant, and our study complements the data on the pathophysiology of BD.
Incidence and predictors of elevated postpartum alanine aminotransferase in chronic hepatitis B mothers
Authors: OuYang Shi , Chen Ziren , Peng Tingting , Geng Yawen , Qiu Junchao , Xiao Zhirong , Pan Calvin Q. 
Published: January 2023

Abstract
Background

The majority of HBeAg-positive mothers with chronic hepatitis B have high levels of viremia and inactive disease with normal alanine aminotransferase (ALT) during pregnancy. In addition, postpartum disease activation and ALT flare have been reported in the range of 15% − 35%. However, the current International Association Guidelines have not provided clear recommendations and a risk-stratified monitoring schedule. Furthermore, data are lacking on the definition of normal ALT in the postpartum period in mothers with chronic hepatitis B. The clinical features and ALT flare patterns in HBeAg-positive mothers versus HBeAg-negative mothers are not fully explored. Thus, we design a cohort study to investigate the aforementioned area and generate data to assist healthcare providers in the better management of mothers with hepatitis B.

Method

This study is a single-center and prospective cohort study (n = 360) that consists of two groups of patients including HBsAg-positive mothers (n = 120) and healthy mothers without HBV infections (n = 240). In HBeAg-positive mothers, antiviral therapy during late pregnancy is permitted for the prevention of MTCT but discontinued at delivery if no further indication for the treatment. Mothers are enrolled at the gestational weeks of 12–24. After delivery, both mothers and their infants will be followed up until postpartum week 24. Clinical and laboratory data are collected every 4 weeks during the study except there are no follow-up visits at the postpartum weeks 16 and 20. The primary assessment is the proportion of patients with postpartum ALT flares. The secondary assessments are independent risk factors during pregnancy for predicting postpartum ALT flares and the normal range of postpartum ALT levels in healthy mothers.

Discussion

We will assess the incidence of postpartum ALT flares in mothers with chronic hepatitis B with subgroup analysis based on HBeAg status, and evaluate the normal range of postpartum ALT in healthy mothers without hepatitis B. In mothers with hepatitis B, the independent risk factors for predicting postpartum ALT flares are also investigated.
Trial Registration Number at the Chinese Clinical Trial Registry: ChiCTR2200061130
Genetic analysis for multiple fruit yield and its attributing traits in eggplant (Solanum melongena L.) used as wild species Solanum gilo as male parent under tarai conditions of Uttarakhand
Authors: Bhatt Leela , Nautiyal M. K. , Choudhary Desh Raj 
Published: January 2023

AbstractThe identification of heterotic combinations may provide a significant benefit in hybrid eggplant / brinjal (Solanum melongenaL.) breeding. This two year study evaluated the gene action and combining effects that governs yield and yield contributing characters in brinjal. A set of 28 F1hybrids were generated by crossing eight parents, the crosses PB-6 x PB-101, BARI x Pusa Upkar, Pant Rituraj x Pusa Upkar, SMB-115 x Pant Rituraj, Pant Rituraj x PB-101, Pusa Upkar x PB-101 exhibited high sca effect for majority of the characters under study. On the basis of these ranking best parents and best specific combination could be identified for further breeding programme for brinjal improvement. The magnitudes of specific combining ability variance were higher than general combining ability variance for all characters in both years 2018 & 2019. This indicated that the physiological and vegetable characters were predominantly under the non-additive control whereas, additive genetic control was observed to be predominant for yield per hectare. Further it was also observed that the degree of dominance was found to be more than unity for all characters in both years, indicating over dominance types of gene action for these characters. Predominance of non-additive genetic variance indicated the suitability of heterosis breeding for improvement of this trait in eggplant. These crosses could be utilized and the prospect of extracting transgressive segregants in the segregating generations.
21 cases of laparoscopic central pancreatectomy
Authors: Xiang Jianqiang , Zhu Jie , Wang Haibiao , Zhou Xinhua , Li Hong 
Published: January 2023

Abstract
Objective: To investigate the experience of laparoscopic central pancreatectomy.
Methods: The perioperative data of 21 patients who underwent laparoscopiccentral pancreatectomy were retrospectively analyzed from September 2017 to November 2022 in Ningbo Medical Center Lihuili Hospital (Xingning Branch and Eastern Branch). According to these data, we summarized the treatment experience of laparoscopic central pancreatectomy.
Results: All the operations were successfully completed without intraoperative conversion to open surgery. In these operations, intraoperative blood transfusion was in 1 case, intraoperative cholangiography was performed in 2 cases, and intraoperative fluoroscopic laparoscopic assistance was performed in 4 cases. The operative time ranged from 140-560 min (average 221.5min), and the estimated intraoperative bleeding volume ranged from 50-800 ml (average 180.9 ml). Postoperative pathology confirmed that 5 cases were intraductal papillary mucinous neoplasm, 6 cases were serous cystic neoplasms, 3 cases were mucinous cystic neoplasms, 3 cases weresolid pseudopapillary neoplasms, 3 cases were neuroendocrine tumors and 1 case was pancreatic ductal adenocarcinoma. The maximum tumor diameter ranged from 1.0-8.5 cm (average 2.9 cm).There was no one case of postoperative common bile duct stenosis and biliaryleakage. Among them, there were 4 cases of biochemical leakage, 15 cases of grade B pancreatic fistula, and 2 cases of grade C pancreatic fistula.
Conclusion: As a procedure for preserving pancreatic function, laparoscopic central pancreatectomy had certain surgical risks and a high probability of postoperative pancreatic fistula whichshould be performed by experienced surgeons.
Ethical approval number: KY2022SL213-01
Clinical Efficacy and Safety of Sintilimab Combined with Targeted Drug Therapy as Second-Line or Above Treatment for Advanced or Metastatic Gastric Cancer
Authors: Gao Loulu , Tang Lin , Peng Jieqiong , Hu ZiXuan , Liu Bo 
Published: January 2023

Abstract
As a monoclonal antibody of programmed cell death protein-1 (PD-1), sintilimab shows good therapeutic effect in combination with chemotherapy for the first-line treatment of advanced gastric cancer (GC). However, there is a lack of data on combined targeted drugs in the treatment of advanced or metastatic GC. The purpose of this study was to analyze the efficacy and safety of sintilimab combined with targeted drugs in the treatment of advanced or metastatic GC. This study retrospectively analyzed 30 patients with advanced or metastatic GC who received sintilimab in combination with targeted drugs as second-line or above treatment. The primary endpoint was progression-free survival (PFS), and secondary endpoints included objective response rate (ORR), disease control rate (DCR), overall survival (OS), and safety. Of the 30 patients, no patients achieved complete response (CR), 2 patients (6.7%) achieved partial response (PR), 22 patients (73.3%) had stable disease (SD), 6 patients (20.0%) had progressive disease (PD). The ORR and DCR were 6.7% and 80.0%, respectively. The median PFS was 3.7months (95%CI:2.5-5.0), and the median OS was 13.6 months (95%CI:9.7 -17.6). Subgroup analysis showed that the location of the primary tumor location, liver metastasis, previous gastrectomy, and previous immunotherapy had no significant difference in PFS. Common adverse events (AEs) during treatment included anemia (53.3%), fatigue (50.0%), leukopenia (26.7%), hypothyroidism (26.7%), nausea and vomiting (23.3%), thrombocytopenia (20.0%), and neutropenia (20.0%), most of which were grade 1 and 2 AEs. There were no deaths due to AEs. The combination of sintilimab and targeted drugs has a good clinical therapeutic effect for patients with advanced or metastatic GC, and AEs are basically controllable, which can be used as a treatment option for patients with disease progression after previous treatment or patients who do not tolerate previous treatment methods.
Effectiveness of web-based psychological capital intervention on the mental well-being of tourism workers during the COVID-19 pandemic
Authors: Sumalrot Thanayot , Pimthong Saran , Suwanwong Charin , Surakarn Amaraporn , Chiangkhong Araya , Khunakorncharatphong Anon 
Published: January 2023

Abstract
The current COVID-19situation has forced many tourism businesses to close. Tourism workers have suffered chronic stress, discouragement, despair, and failure to find solutions for their businesses, resulting in deteriorating mental health. A psychological capital intervention (PCI) is therefore deemed necessary as it promotes the mental well-being of tourism workers. This article reports the development of a web-based PCI for the mental well-being of tourism workers and an investigation of its effectiveness using a mixed-methods intervention design. A qualitative approach was used to develop the intervention by conducting in-depth interviews with 20 tourism entrepreneurs. A content analysis was carried out. The intervention was tested through an experimental research design. The sample comprised 600 tourism workers who undertook a web-based PCI. Data on their mental well-being were collected before the intervention and 1 month afterward and analyzed using ANCOVA. The research revealed that 4 themes are needed for the intervention: having a goal, tolerance of difficulties, inspiration from a role model, and the appropriate way of thinking. An effectiveness examination showed that the web-based PCI improves mental well-being. In conclusion, this web-based PCI, which focuses on developing strengths, effectively improves the mental well-being of tourism workers facing difficulties during the COVID-19 pandemic.
Maximum Lyapunov Exponent-based Multiple Chaotic Slime Mold Algorithm for Real-world Optimization
Authors: Yang Jiaru , Zhang Yu , Jin Ting , Lei Zhenyu , Todo Yuki , Gao Shangce 
Published: January 2023

Abstract
Slime mold algorithm (SMA) is a nature-inspired algorithm that simulates the biological optimization mechanisms and has achieved great results in various complex stochastic optimization problems. Owing to the simulated biological search principle of slime mold, SMA has a unique advantage in global optimization problem. However, it still suffers from issues of missing the optimal solution or collapsing to local optimum when facing complicated problems. To conquer these drawbacks, we consider adding a novel multi-chaotic local operator to the bio-shock feedback mechanism of SMA to compensate for the lack of exploration of the local solution space with the help of the perturbation nature of the chaotic operator. Based on this, we propose an improved algorithm, namely MCSMA, by investigating how to improve the probabilistic selection of chaotic operators based on the maximum Lyapunov exponent (MLE), an inherent property of chaotic maps. We implement the comparison between MCSMA with other state-of-the-art methods on IEEE Congress on Evolution Computation (CEC) i.e., CEC2017 benchmark test suits and CEC2011 practical problems to demonstrate its potency and perform dendritic neuron model training to test the robustness of MCSMA on classification problems. Finally, the parameters' sensitivities of MCSMA, the utilization of the solution space, and the effectiveness of the MLE are adequately discussed.
Human-cattle interactions in PPNB and Early- Middle Bronze Age Cyprus: Integrating zooarchaeological and stable isotope data
Authors: Spyrou Anna , Roberts Patrick , Bleasdale Maddy , Lucas Mary , Crewe Lindy , Simmons Alan , Webb Jennifer 
Published: January 2023

Abstract
Cattle domestication and subsequent spread caused unprecedented biological, economic, ecological and social transformations in human history. Cyprus was one of the first places domestic taurine cattle were transported to outside of their core domestication region, making it a “hotspot” in which to investigate cattle acclimatisation and management practices. Accumulated archaeological, iconographic and zooarchaeological evidence has shed much light on the economic and socio-ideological significance of cattle in prehistoric Cypriot society, particularly from the Early Bronze Age onwards. However, little information exists on the mechanisms through which prehistoric cattle breeders experimented with this new, large, multifunctional and symbolically potent animal. Here, we use an integrated approach that combines zooarchaeological and stable isotopic data to reconstruct human-cattle interactions and cattle management in an island context. Stable carbon (δ13C) and oxygen (δ18O) isotopes were applied to a small sample (n = 16) of cattle and caprine teeth from three key sites, including the Pre Pottery Neolithic B, when cattle were first introduced on the island, and the Early-Middle Cypriot Bronze Age, when cattle re-appeared on the island after three millennia of absence. We identified differences in patterns of isotopic variation between Bronze Age caprine and cattle, likely reflecting differences in mobility and the more intensive management of cattle (i.e. foddering). Additionally, we observe differences in the isotope values of cattle through time (Neolithic vs. Bronze Age) and therefore provide new data on animal management during key periods in Cypriot prehistory.
Busulfan target exposure attainment in children undergoing allogeneic hematopoietic cell transplantation: a single day versus a multiday therapeutic drug monitoring regimen.
Authors: Bognàr T. (Tim) , Kingma J. S. (Jurjen) , Smeijsters E. H. (Erin) , Elst K. C. M. (Kim) van der , de Kanter C. T. M. (Klaartje) , Lindemans Caroline , Egberts A. C. G. (Toine) , Bartelink I. H. (Imke) , Lalmohammed Arief 
Published: January 2023

Abstract
Busulfan exposure has previously been linked to clinical outcomes, hence the need for therapeutic drug monitoring (TDM). Study objective was to evaluate the effect of day 1 TDM-guided dosing (regimen d1) versus days 1 + 2 TDM-guided dosing (regimen d1 + 2) on attaining adequate busulfan exposure. In this observational study, we included all children receiving busulfan based allogeneic hematopoietic cell transplantation. Primary outcome was the percentage of patients achieving busulfan target attainment in both TDM regimens. Secondary outcomes were the variance in busulfan exposure and day-4 clearance (Clday4) estimates between both TDM regimens and dosing day 1 and 2. In regimen d1, 84.3% (n = 91/108) attained a therapeutic busulfan exposure, while in regimen d1 + 2 a proportion of 90.9% was found (n = 30/33, not-significant). Variance of Clday4 estimate based on busulfan day 2 concentrations was significantly smaller than the variance of Clday4 estimates based on day 1 concentrations (p < 0.001). Therefore, day 1-guided TDM (pharmacometric-model based) of busulfan may be sufficient for attaining optimal target exposure, provided that subsequent TDM is carried out if required. However, performing TDM on subsequent days may be beneficial, as measurements on day 2 seemed to reduce the variance in the estimated clearance as compared to day 1 sampling.
N-Net: A Convolutional Neural Network for Medical Image Segmentation
Authors: Dumitru Razvan-Gabriel , Peteleaza Darius , Craciun Catalin 
Published: January 2023

Abstract
This paper presents a novel supervised convolutional neural network architecture, "N-Net", capable of effectively learning and generalizing from small amounts of medical images to perform accurate segmentation tasks. Our model utilizes an encoder-decoder structure with a residual downsampling mechanism and a custom convolutional block to capture and process image information at multiple resolutions in the encoder segment. We employ data augmentation techniques to enrich the training set, thus increasing our model's performance. While our architecture is versatile and applicable to various segmentation tasks, in this study, we demonstrate its capabilities specifically for polyp segmentation in colonoscopy images. We evaluate the performance of our method on several popular benchmark datasets for polyp segmentation, Kvasir-SEG, CVC-ClinicDB, CVC-ColonDB, and ETIS-LARIBPOLYPDB showing that it achieves state-of-the-art results in terms of mean Dice coefficient, Jaccard index, Precision, Recall, and Accuracy. Our approach demonstrates strong generalization capabilities, achieving excellent performance even with limited training data.
Machine learning techniques to identify patterns in gynecologic information
Authors: Chacaguasay Marco , Reátegui Ruth , Valdiviezo Priscila , Chicaiza Janneth 
Published: January 2023

Abstract
Medical records constitute an important source knowledge. Millions of data records can be processed looking for patterns using artificial intelligence and machine learning. Thus, the present research aims to identify patterns in gynecologic data. The dataset used includes 1251 records related to women's diseases, it contains aspects such as age, sicknesses, the contraceptive method used, and pathologic history, among others. The methodology applied in this work allowed the management of key aspects such as data understanding, preprocessing, modeling, and evaluation. Three unsupervised algorithms have been applied: k-means, DBSCAN, and Hierarchical Clustering. Silhouette metric has been used to evaluate the quality of each cluster. Results show that the best silhouette value was 0.73 and 9 clusters, obtained with DBSCAN. The outcomes obtained constitute an important contribution to identifying the most common genital infectious diseases that influence the identification of pattern in each cluster.
Advantages and Robustness of Partial VMAT with Prone Position for Neoadjuvant Rectal Cancer Evaluated by CBCT-based Offline Adaptive Radiotherapy
Authors: Zhe Zhang , Yu Shuo , Peng Feng , Tan Zhibo , Zhang Lei , Li Daming , Yang Pengfei , Peng Zhaoming , Li Xin , Fang Chunfeng , Wang Yuenan , Liu Yajie 
Published: January 2023

Abstract
Background and purpose: This study aims to explore the advantages and robustness of the partial arc combined with prone position planning technique for radiotherapy in rectal cancer patients. Adaptive radiotherapy is recalculated and accumulated on the synthesis CT (sCT) obtained by deformable image registration (DIR) between planning CT and cone beam CT (CBCT). Full and partial volume modulation arc therapy (VMAT) with the prone position on gastrointestinal and urogenital toxicity, based on the probability of normal tissue complications (NTCP) model in rectal cancer patients were evaluated.
Materials and methods: Thirty-one patients were studied retrospectively. The contours of different structures were outlined in 155 CBCT images. First, full VMAT (F-VMAT) and partial VMAT (P-VMAT) planning techniques were processed and calculated using the same optimization constraints. The Acuros XB (AXB) algorithm was used in order to generate more realistic dose distributions and DVH, considering the air cavities. Second, the Velocity 4.0 software was used to fuse the planning CT and CBCT to obtain the sCT. Then, the AXB algorithm was used in the Eclipse 13.6 software to conduct re-calculation based on the sCT to obtain the corresponding dose. Furthermore, the LKB NTCP model was used to analyze its radiobiological side effects on the bladder and the bowel bag.
Results: With a CTV coverage of 98%, when compared with F-VMAT, P-VMAT with the prone position technique can effectively reduce the mean dose of the bladder and the bowel bag. The LKB NTCP model showed that the P-VMAT combined with the prone planning technique resulted in a significantly lower complication probability of the bladder (1.88±2.08vs1.62±1.41, P=0.041) and the bowel bag (1.77 ± 2.90vs1.57 ± 2.36, P<0.001) than the F-VMAT. In terms of robustness, the P-VMAT is more robust than the F-VMAT, considering the fact that fewer changes were observed in the dose of the CTV, the bladder and the bowel bag.
Conclusion: This study analyzed the advantages and robustness of the P-VMAT in the prone position from three aspects, based on the sCT fused by CBCT. Whether it is in regards to dosimetry, radiobiological effects or robustness, P-VMAT in the prone position has shown great advantages.