bluuebunny/crossref_metadata_2025_split huggingface dataset:
Robotic-assisted, pancreatectomy for a pancreatic neoplasms in a pediatric patient: initial experience case series and review of the literature
Authors: Yang Jiafei , Gu Huajian , Du Jun , Xu Zhongmin , Sun Xu , He Kunfeng 
Published: October 2023

Abstract
Objective: To present our primary experience of robotic-assisted pancreatectomy for pancreatic neoplasms in children.
Methods: From June 2021 to January 2023, We conducted a retrospective review of 4 patients with pancreatic neoplasms who underwent Da Vinci robotic pancreatic surgery, who underwent Da Vinci robot-assisted enucleation of the pancreatic tumor, pancreic-distal preserving pancreatectomy and Distal pancreatectomy tumor and Splenectomy, respectively. The surgical methods, operation time, intraoperative blood loss, postoperative hospital stay and complications were analyzed. Characteristics and outcome of patients were compared with results of a systematic Pubmed and Medline.
Result: None of the 4 patients was converted into laparotomy or had intraoperative blood transfusion. The operation time was 175 ~ 395 min, intraoperative blood loss was 15 ~ 120 ml, and postoperative hospital stay was 6-10 d. No postoperative complications occurred. The patients were followed up for 6-12 months, without tumor recurrence. Through the literature search, a total of 8 cases were included in this study. The operation time was 65 ~ 480 min, intraoperative blood loss was 5 ~ 10 ml, and postoperative hospital stay was 6-16 d. Two of these children developed delayed gastric emptying and Ileus and an episode of post-operative vomiting, respectively.
Conclusions: Our experience continues to evolve, and suggests that robotic surgery is safe, feasible and effective for resection of pancreatic neoplasms in pediatric patients.
Sex differences in disease burden, utilization, and expenditure on Primary Health Care Services: Findings from a baseline study in Kerala, India
Authors: Joseph Jaison , Sankar Hari , Sharma Santosh Kumar , Nambiar Devaki 
Published: October 2023

Abstract
We conducted a cross-sectional study to explore the nature and magnitude of sex differences in disease burden, service awareness, utilization, expenditure and satisfaction while accessing primary health care services in light of recent primary care reforms implemented in Kerala. More males reported fever as their primary ailment compared to females (67.7% vs. 58.6%). A greater proportion of males as compared to females knew about the recently implemented reforms (43% vs 36%; p = 0.01). Allopathic care was the most sought-after system of medicine by both sexes. A higher proportion of females visited government primary health centres for outpatient care (34.7% vs. 27.5%; p = 0.00). The self reported cost of care in the private sector was 20 times greater than in public sector for males, whereas the difference was roughly five fold among females (Private: ₹650, $8.5 (95% CI- ₹524, ₹776) vs. Public: ₹120, $1.58 (95%CI- ₹17, ₹223)). Our population-based study found no sex- differences in non-hospitalized disease burden. Males showed greater awareness of state health reforms, and high patient satisfaction existed in both private and public OP care. Research on intersectionalities, such as care-seeking experiences across genders and socioeconomic groups, could enhance our understanding of sex's role in care seeking. Sex differences in disease burden, utilization, and expenditure of Primary Health Care services: Findings from a baseline study in Kerala, India
Farnesyl Diphosphate Synthase (FDPS) Regulates Granulosa Cells Proliferation of Polycystic Ovary Syndrome (PCOS) by Modulating the Rac1/MAPK/ERK signaling
Authors: Guo Xiaoli , Cao Yijuan , He Qing , Chen Linna , Wang Qing , Zhang Jingbo , Lv Wenqiang , Zhang Bei , Zhou Xueyan 
Published: October 2023

Abstract
Polycystic ovary syndrome (PCOS) is one of the most common causes of infertility in child-bearing-age women. Due to a poor understanding of the mechanisms involved, there is a limited selection of etiology-specific treatments for infertility in individuals with PCOS. Here, proteomic analysis indicated that the differential protein ovarian Farnesyl Diphosphate Synthase (FDPS) was closely related to the pathogenesis of PCOS. Notably, FDPS protein expression was significantly decreased in ovarian granulosa cells from PCOS patients resulted in disrupted ovarian functions and dysplasia of ovarian granulosa cells. The mechanisms by which FDPS affected the proliferation of granulosa cells were also explored both in vitro and in vivo. We found that knockdown of FDPS inhibited the proliferation of KGN (human ovarian granulosa cell line), while overexpression of FDPS had the opposite effect. FDPS activated Rac1 activity and regulated MAPK/ERK signaling pathway, which affecting the proliferation of KGN cells significantly. In addition, treatment with the Adeno-Associated Virus (AAV)-FDPS reverse the DHEA-induced PCOS-phenotype in mice. Our data indicated that FDPS could regulate the proliferation of ovarian GCs by modulating MAPK/ERK pathway via activating Rac1 activity. These findings suggest that FDPS could be of great value for the regulation of ovarian granulosa cell function and the treatment of PCOS.
An implicit measure of growth mindset uniquely predicts post-failure learning behavior
Authors: Sik Kata , Cummins Jamie , Job Veronika 
Published: October 2023

Abstract
Research on implicit theories of intelligence (a.k.a. intelligence mindset) has shown that a growth mindset (the belief that intelligence can be improved) is adaptive in the face of challenges and setbacks. Even though the theory presumes implicit processes (i.e., people are supposed to be unaware of these beliefs, guiding behaviors and actions automatically), the concept is typically assessed with self-reports. In this project we brought together research on intelligence mindset with research on implicit social cognition. Harnessing recent innovations from research on implicit measures, we assessed intelligence mindsets on an implicit level with a mousetracking Propositional Evaluation Paradigm. This measure captures the spontaneous truth evaluation of growth- and fixed-mindset statements to tap into implicit beliefs. In two preregistered laboratory studies (N = 184; N = 193), we found that implicitly measured growth mindsets predicted learning engagement after an experience of failure above and beyond the explicitly measured growth mindset. Our results suggest that implicit and explicit aspects of intelligence mindsets must be differentiated. People might be in a different mindset when making learning-related decisions under optimal conditions (i.e., with ample time and capacity) or under suboptimal conditions (i.e., when time pressure is high). This advancement in the understanding of implicit theories of intelligence is accompanied with substantial implications for theory and practice.
Validity of Self-Assessed Oral Health in Japanese Workers
Authors: Zaitsu Takashi , Saito Tomoya , Oshiro Akiko , Kawaguchi Yoko , Kawachi Ichiro 
Published: October 2023

Abstract
Background
We sought to establish the validity of self-reported oral health by comparison with the results of clinical dental examinations. A secondary aim was to explore the association of self-rated oral health with oral health behaviors.
Materials and methods
Self-administered questionnaires and dental examinations were obtained from 2,262Japanese private sector employees. Workers self-assessed their overall oral health status according to five choices: “very good,” “good,” “fair,” “poor,” or “bad.” Self-reports were then compared with the results of clinical dental examination which included measuring the oral hygiene index (DI-S), the number of decayed teeth, periodontal status (Community Periodontal Index) and number of missing teeth. Convergent validity was also tested by examining the correlations of self-reported oral health status with oral health behaviors.
Results
Overall, 30.8% of workers reported their oral health as “poor” or “bad.” “Poor” or “bad” oral health status was significantly correlated with missing teeth, periodontitis, and decayed teeth. However, lower correlations were found for gingivitis and the oral hygiene index. Most self-reported oral health behaviors were correlated with self-rated oral health; exceptions were “tooth brushing instructions received in a dental clinic,” “having a primary-care dentist,” and “habitual snacking between meals.”
Conclusions
Self-rated oral health provides reasonably valid data, and correlated well with clinically assessed oral health status, including dental caries, periodontal status, and tooth loss. Convergent validity was also found for oral health behaviors.
Clinical Trial Registration Number:
UMIN000023011 (UMIN-CTR)
Date of clinical trial registration: 06/07/2016
Homogenised Elastic Properties of Lightweight Cemented Soils
Authors: Perrotta Laura , Vitale Enza , Russo Giacomo 
Published: October 2023

Abstract
Lightweight Cemented Soil (LWCS) is obtained by mixing soil, water and cement with air foam. This treatment allows a high workability of the mixture and good mechanical properties coupled with reduced unit volume weight, making the material suitable for many geotechnical applications. The complex and heterogeneous microstructure (a large pore system induced by foam in a cemented porous matrix) of the material requires a homogeneisation procedure for constitutive modelling of its hydromechanical behaviour. In this work, the stiffness modulus of LWCS was derived through the semi-analitycal Mean-Field Eshelby-based Homogenisation approaches, taking into account the chemo-physical evolution over curing time of the material. This procedure, never employed in the field of treated soils, requires several input parameters, as the artificial porosity induced by the addition of foam, the bulk and shear moduli and the Poisson’s ratio of LWCS samples. The artificial porosity was evaluated by means of X-Ray micro-CT scans, whereas the mechanical parameters were derived from experimental tests. The homogenised stiffness moduli, computed for different curing times, are in agreement with the available experimental results. The analytical homogenisation models allow predicting the elastic behaviour of the material and its evolution over time taking into account the role played by microstructure.
Systemic Effects of Hypophosphatasia. Characterization of Two Novel Variants in the Alpl Gene
Authors: Fontana Cristina , Heredia Luis , Muñoz-Torres Manuel , Torre Raquel de la , Ortas Angela , Vera Francisco , Cejudo Trinidad , Bolívar Victoria , Salvatierra Sheila , Gómez-Vida José , Fontana Beatriz 
Published: October 2023

Abstract
Hypophosphatasia (HPP) is a metabolic inborn error caused by mutations in the ALPL gene encoding tissue non-specific alkaline phosphatase (TNSALP) leading to a decreased alkaline phosphatase (ALP) activity. Although the main hallmark of this disease is bone involvement it presents great genetic and clinical variability, which is regarded as it a systemic disease. In the present study, two previously undescribed heterozygous mutations (L6S and T167del) have been identified by Sanger sequencing in the ALPL gene of two Spanish families. These mutations are associated with non-pathognomonic symptoms of HPP. Prediction tools coupled with structural modeling targeted critical residues with important roles in protein structure and function. In vitro results demonstrated low TNSALP activity and a dominant negative effect on both mutations. The results of the characterization of these variants suggest that the pleiotropic role of TNSALP leads to the systemic effects observed in these patients highlighting digestive and autoimmune disorders associated with TNSALP dysfunction. The importance of identifying and geno-phenotypically characterizing each mutation at structural and functional levels is very useful to anticipate potential comorbidities, providing personalized counseling and treatment for each patient considering the extra-skeletal manifestations of HPP.
Dynamic Impacts of Weather Alteration and Urbanization on Entomofauna Diversity in Urban Ecosystem: A Study in the Rohtak District at Tilyar Lake and Maharshi Dayanand University
Authors: Kumari Tamanna , Phogat Deepak , Phogat Jatin , Sonam Sonam , Shukla Vineeta 
Published: October 2023

AbstractClimate change and urbanization are resulting in notable transformations to ecosystems, altering species distributions and interactions within food webs. This study utilized specific insect collection methods (pitfall traps, bottle traps, pan traps, double-sided tape) and identification techniques (citizen science, automated insect identification, field guides, mobile applications, dichotomous keys) to gather data on entomofauna diversity under varying weather conditions in urban areas (Maharshi Dayanand University, Rohtak, and Tilyar Lake). By combining these approaches, a comprehensive assessment of insect diversity across different weather conditions was achieved. The impacts of weather and urbanization on entomofauna diversity are significant. Within the studied area, 73 insect species were documented in total, with the highest diversity consistently observed in spring. Summer exhibited the next highest diversity levels, while winter displayed comparatively lower diversity. These findings highlight the pronounced influence of seasonal variations and urbanization on the composition and abundance of insect populations. The results provide compelling evidence that both weather change and urbanization play major roles in shaping local insect diversity. These conclusions were further reinforced through calculations of relative diversity.
Assessment of Atherosclerotic Plaque Burden: Comparison of AI-QCT versus SIS, CAC, Visual and CAD-RADS Stenosis Categories
Authors: Khan Hufsa , Bansal Kopal , Griffin William F. , Cantlay Catherine , Sidahmed Alfateh , Nurmohamed Nick , Zeman Robert K. , Katz Richard J. , Blankstein Ron , Earls James P. , Choi Andrew D. 
Published: October 2023

Abstract

Purpose: This study assesses the agreement of Atherosclerosis Imaging-Quantitative Computed Tomography (AI-QCT) with qualitative approaches to atherosclerotic disease burden codified in the multisociety 2022 CAD-RADS 2.0 Expert Consensus.
Methods: 105 patients who underwent cardiac computed tomography angiography (CCTA) for chest pain were evaluated by a blinded core laboratory through FDA-cleared software (Cleerly, Denver, CO) that performs AI-QCT through artificial intelligence, analyzing factors such as % stenosis, plaque volume, and plaque composition. AI-QCT plaque volume was then staged by recently validated prognostic thresholds, and compared with CAD-RADS 2.0 clinical methods of plaque evaluation (segment involvement score (SIS), coronary artery calcium score (CACS), visual assessment, and CAD-RADS percent (%) stenosis) by expert consensus blinded to the AI-QCT core lab reads.
Results: Average age of subjects were 59 ± 11 years; 44% women, with 50% of patients at CAD-RADS 1-2 and 21% at CAD-RADS 3 and above by expert consensus. AI-QCT quantitative plaque burden staging had excellent agreement of 93% (k=0.87 95% CI: 0.79-0.96) with SIS. There was moderate agreement between AI-QCT quantitative plaque volume and categories of visual assessment (64.4%; k=0.488 [0.38-0.60]), CACS (66.3%; k=0.488 [0.36-0.61]). Agreement between AI-QCT plaque volume stage and CAD-RADS % stenosis category was also modest. (73.1%; k=0.55 [0.42-0.68]).
Conclusion: AI-QCT graded plaque volume stages and SIS demonstrated overall high agreement while agreement of AI-QCT with visual estimate and CACS was moderate. In addition, AI-QCT graded stenosis CAD-RADS was moderate to substantial. There was discordance at small plaque volumes. With ongoing validation, these results demonstrate a potential for AI-QCT as a rapid, reproducible approach to quantify total plaque burden.
Disturbances in theta-beta band oscillations in precuneus and aberrant effective connectivity within default mode network as potential biomarkers of chronic schizophrenia: an EEG resting-state study
Authors: Adamczyk Przemysław , Domingos Christophe , Więcławski Wiktor , Wojcik Maja , Frycz Sandra , Panek Bartłomiej , Jáni Martin , Dudzińska Olga , Ros Tomas , Wyczesany Miroslaw 
Published: October 2023

Abstract
Schizophrenia is a complex psychiatric disorder with unknown neuropathology. Notably, the triple-network-model of psychiatric disorders, focusing on the default mode (DMN), central executive (CEN), and salience (SN) networks, proposes an interesting framework for investigating abnormal neurocircuit activity in schizophrenia. In the present study, we aim to explore the three resting-state EEG biomarkers: i) the relative power spectrum, ii) functional connectivity metrics - corrected imaginary phase locking (ciPLV) and iii) effective connectivity estimated by source-localization-based directed transfer function (DTF) in 28 chronic schizophrenia patients and 27 controls. The presented results revealed that schizophrenia is characterised by: i) the prevalence of high power at the theta band (4–8 Hz) localised at the centroparietal area, along with smaller but widespread alterations in frontotemporal regions; ii) the existence of widespread bilateral alterations in inter- and intra-hemispheric neural communication patterns, with the most significant difference, manifested in a reversed pattern of hemispheric engagement at theta and beta/gamma bands; iii) the observed multiband effective connectivity disturbances within the DMN were revealed as the most excessive, compared to the solely low-frequency alterations of CEN or SN negative ones; the most significant difference between group was manifested in a reversed direction of information flows at theta and beta bands, with a strong indication of the specific disturbances of key DMN node – the precuneus. In conclusion, our study presents novel insights into schizophrenia neuropathology, with a particular emphasis on the fronto-parietal connectivity alterations at theta/beta bands. This may be suggested as a promising clinical biomarker of chronic schizophrenia.
Morphological variability of 65 amaranth accessions from the Cajamarca Region, Peru
Authors: Ortiz Lucia Emperatriz Escalante , Padilla Angel Esteban Santa Cruz , Leiva Araceli Eugenio , Orrillo Jorge Luis Vasquez , Lopez Silvia Yanina Rodriguez , Morales Susan Haydee Soriano , Cunya Juan Fransisco Seminario 
Published: October 2023

Abstract
Amaranth is a promising crop for the Cajamarca region and Peru. The National Institute of Agrarian Innovation (INIA) from Peru preserves a national collection of 552 amaranth accessions; however, there needs to be a detailed study of the morphology of these materials. In this research, 65 accessions were morphologically characterized based on their place of origin, using 21 descriptors standardized by INIA-Peru. The clustering of accessions and principal component analysis showed the presence of 38 groups and a duplication rate of 41.5% of accessions at a taxonomic distance of 0.62. In addition, 18 morphological characters that significantly contributed to morphological variability were identified and explained by the first six principal components. Due to the scarcity of studies on amaranth, it is recommended to conduct more characterization and molecular studies to obtain better approximations of the genetic diversity of the amaranth germplasm to be used on amaranth plant breeding programs.
Pressure injury risk assessment for palliative care patients in the acute hospital setting: A scoping review
Authors: Ven Saroeun , Fulbrook Paul , Burston Adam , Lovegrove Josephine , Miles Sandra J 
Published: October 2023

Abstract
Background: Hospitalised palliative care patients are at risk of pressure injury. The development of pressure injuries causes physical and psychological distress for patients. Therefore, the prevention of hospital-acquired pressure injury is a nursing priority. The first step in prevention is conducting a risk assessment, which should be population-specific. In Australia, five palliative care phases guide care planning for appropriate clinical management of palliative care patients. In phases 1-3, the palliative patient cohort is based on acute care, where patients require medical treatment and/or symptom management, whereas Phase 4 refers to end-of-life care.
Objectives: To review and analyse contemporary literature to determine what is known about pressure injury risk assessment for acute palliative care patients and identify which pressure injury risk assessment tools are most appropriate for this cohort.
Methods:This scoping review was conducted according to Joanna Briggs Institute methodology. The search strategy was developed based on the Population-Concept-Context mnemonic. Studies of any design, articles and guidelines relating to pressure injury risk assessment in acute palliative care patients were included. Publications from 2002 to 2023 from Google Advanced Search, three grey literature and five nursing/health databases (Cumulative Index to Nursing and Allied Health Literature, MEDLINE, Scopus, Web of Science, EMBASE) were searched. The protocol was prospectively registered with Open Science Framework.
Results: From 2,576 search results, 15 articles met the inclusion criteria. None reported the use of a pressure injury risk assessment tool designed specifically for acute palliative care patients. However, 20 pressure injury risk assessment tools/methods were identified. Furthermore, the definition of palliative care patients was inconsistent, and no articles clearly defined the differences between acute palliative care patients and those at end-of-life.
Conclusions: The results of this review indicate a need to develop a new PI risk assessment tool for acute palliative care patients that considers their specific risk factors. Further research is needed to address the knowledge gap relating to pressure injury risk assessment and prevention for hospitalised acute palliative care patients.
Risk factors for secondary thyroid cancer in patients with breast cancer : a propensity‑matched SEER analysis
Authors: Diao Yizhuo , Wang Ruiqi , Cui Jiaxue , Jin Chenxin , Chen Yongxing , Li Xiaofeng 
Published: October 2023

Abstract
With the rapid development of imaging technology and comprehensive treatment in modern medicine, the early diagnosis rate of breast cancer is constantly improving, and the prognosis is also improving; With the prolongation of the survival period of breast cancer patients, the risk of multiple primary cancers may increase. Since both breast and thyroid are Hormone receptor sensitive organs, which are regulated by hypothalamus pituitary target gland endocrine axis, changes in body endocrine status may lead to the occurrence of these two diseases in succession or simultaneously. The clinical data and survival results of breast cancer patients registered in the Surveillance, Epidemiology and End Results (SEER) database from 2010 to 2020 were extracted. After matching the data with propensity scores, patients were divided into a training group and a validation group using a 7:3 ratio. Univariate and multivariate COX proportional regression analysis is used to determine independent risk factors for secondary thyroid cancer and construct a column chart prediction model. Age, ethnicity, whether radiotherapy, tumor primary location, N stage, M stage were screened by Cox regression as independent factors affecting secondary thyroid cancer in patients with breast cancer patients, and a risk factor nomogram was established to predict patients' three- and five-year survival rates. The AUC values for three and five years in the training set were 0.713, 0.707, and the c -index was 0.693 (95% CI 0.67144, 0.71456), and the AUC values for three and five years in the validation set were 0.681, 0.681, and the c -index was 0.673 (95% CI 0.64164, 0.70436), respectively.