bluuebunny/crossref_metadata_2025_split huggingface dataset:
UCP2 45bp Ins/Del gene polymorphism in association with overweight and obesity: a meta-analysis
Authors: Ni Bin , Zhang Wei , Zhang Xiaoqing , Liang Bo , Shu Yan 
Published: September 2023

Abstract

Uncoupling protein (UCP) is a mitochondrial inner-membrane protein that is involved in energy homeostasis. In human tissues, UCP2 is widely expressed, acts as an uncoupling agent for oxidative phosphorylation, and is involved in the regulation of metabolism and ATP production. The association between UCP2 45bp Ins/Del gene polymorphism and the risk of overweight and obesity remains controversial and requires further evaluation. A meta-analysis of 12,224 subjects in 20 articles from PubMed, Embase, and China National Knowledge Infrastructure was performed to assess the association of UCP2 45bp Ins/Del gene polymorphism with the risk of overweight and obesity. The results of the meta-analysis showed that the UCP2 45bp Ins/Del gene polymorphism was significantly associated with genetic susceptibility to overweight and obesity only in the recessive model (odds ratio [OR]=1.24, 95% confidence interval [CI]=1.07-1.43, P=0.004), while the rest of the models did not show an association (P﹥0.05). However, the subgroup analysis of ethnicity showed that, in Asian populations, UCP2 45bp Ins/Del gene polymorphism was associated with genetic susceptibility to overweight and obesity in the allelic (OR=1.18, 95%CI=1.02-1.36, P=0.027), dominant (OR=1.20, 95%CI=1.02-1.41, P=0.030), and heterozygote (OR=1.19, 95%CI=1.01-1.41, P=0.043) models, respectively. No significant associations were found in the Caucasian population (P﹥0.05), and there was significant heterogeneity between the studies. UCP2 45bp Ins/Del gene polymorphism, which is significantly associated with genetic susceptibility to overweight and obesity in Asian populations, is not significantly associated with genetic susceptibility to obesity in Caucasian populations.
Metastatic multicentric epithelioid angiosarcoma of bone. A case report with pitfalls. Tumor seeding after percutaneous biopsy and hypercalcemia
Authors: Fuentes-Sanchez Jorge , Pena-Burgos Eva Manuela , Tapia-Viñe Mar , Pozo-Kreilinger Jose Juan , Ortiz-Cruz Eduardo Jose 
Published: September 2023

Abstract
BACKGROUND: Angiosarcomas are a type of malignant tumor of vascular origin. They represent less than 1% of all primary bone tumors. The multicentric or metastatic does not differ in its high aggressiveness and poor prognosis.
CASE PRESENTATION: We describe a case of an elderly male with bone angiosarcoma initially located in proximal femur. After biopsy in a non-expert sarcoma center, he presented a tumor involvement in the path of the needle, in additional finding of multicentric/metastatic that involve the sacro-coccygeal level assessed by magnetic resonance imaging. He associated tumoral hypercalcemia secondary to malignancy and was referred to our sarcoma center for therapeutic decision. He was treated by tumoral resection and reconstruction with proximal femur tumor prosthesis due to high risk of pathological fracture. In the early follow-up he presented pulmonary metastasis and new sarcoma implants in soft parts, dying a few months later.
CONCLUSIONS: Multicentric and/or metastatic epithelioid angiosarcomas require diagnostic and therapeutic thoroughness to improve the patient's quality of life and survival. Percutaneous biopsies have a risk of tumor seeding in the needle trajectory; therefore, they must be performed in centers with expertise in sarcomas. At present, multicentric or metastatic bone involvement is only of theoretical relevance since the treatment and prognosis are identical. Despite that hypercalcemia in sarcomas is a rare problem, the case has this peculiarity, and we highlight its investigation in some of these cases.
Artificial Intelligence Can Persuade Humans on Political Issues
Authors: Bai Hui , Voelkel Jan , Eichstaedt Johannes , Willer Robb 
Published: September 2023

Abstract
The emergence of large language models (LLMs) that leverage deep learning and web-scale corpora has made it possible for artificial intelligence (AI) to tackle many higher-order cognitive tasks, with critical implications for industry, government, and labor markets in the US and globally. Here, we investigate whether existing, openly-available LLMs are capable of influencing humans’ political attitudes, an ability recently regarded as the unique purview of other humans. Across three preregistered experiments featuring diverse samples of Americans (total N=4,836), we find consistent evidence that messages generated by LLMs (OpenAI’s GPT 3 and 3.5 models) are able to persuade humans across a number of policy issues, including highly polarized issues, such as an assault weapon ban, a carbon tax, and a paid parental-leave program. Overall, LLM-generated messages were as persuasive as messages crafted by lay humans. Our results show LLMs can persuade humans, even on highly polarized policy issues. As the capacity of LLMs is expected to improve substantially in the near future, these results suggest that LLMs may change political discourse, calling for immediate attention for the identification and regulation of potential misuse of LLMs.
Establishment and validation of a prognostic nomogram for patients with distant metastatic gallbladder cancer based on treatment benefits
Authors: Yuan Chen , Chen Wenhui , Zou Shubing , Wang Kai , Hu Zhigang 
Published: September 2023

Abstract

Purpose
Whether different clinical treatments can benefit for the prognosis of patients with distant metastatic gallbladder cancer (GBC), and how to screen the corresponding candidate patients remained unclear. This study aimed to construct and validate a nomogram to predict the prognosis of these patients based on treatment benefits.
Methods
Patients diagnosed of distant metastatic GBC were retrospectively enrolled from the huge database during 2000 and 2017, and were randomly divided into the training and internal validation cohorts by 7:3. Another patients cohort was retrospectively enrolled from the Second Affiliated Hospital of Nanchang University during 2010 and 2020, and was subsequently used for external validation. Clinical data including various clinical treatment modalities were collected. Univariate and multivariate analyses were used to explore the potential prognostic factors in terms of overall survival and nomograms were constructed. The area under the receiver operating characteristic (ROC) curves (AUC) and the calibration curves were used to evaluate the efficacy of the nomograms. Decision curve analysis (DCA) was used to evaluate the clinical applicability of the nomograms.
Results
A total of 580 patients with distant metastatic GBC were enrolled from the SEER database, and another 49 patients were enrolled from the authors’ hospital. Age, lymph node dissections, radiotherapy, chemotherapy, T stage, N stage, liver metastasis and bone metastasis were independent prognostic factors, and two nomograms were established based on the above factors including or not including treatment factors. Further nomogram validations showed good prediction efficacy by AUC values and calibration curves, and good clinical applicability by DCA.
Conclusion
The prognostic nomogram for patients with distant metastatic GBC based on treatment benefits was established with good prediction efficacy and good clinical applicability, which might be of good value for the evaluation of the therapeutic significance for candidate patients.
How to reverse severe midtrimester oligohydramnios secondary to non-criteria obstetricantiphospholipid syndrome: a case report
Authors: Zhang Ying , Jiang Yuan , Wei Yu , Zhu Yun 
Published: September 2023

Abstract
Background: Obstetrical antiphospholipid syndrome (OAPS) is an acquired autoimmune disorder characterized by recurrent pregnancy complications, which was orchestrated by elevated antiphospholipid (aPL) antibodies. The diagnosis of definite OAPS requires the presence of one or more typical clinical criteria and persistent aPL antibodies at least 12 weeks apart. However, the classification criteria for OAPS have generated wide debate, with a growing impression that certain patients not fully meeting these criteria might be inappropriately excluded from the classification, which is known as “non-criteria” OAPS.
Case presentation: We reported here one unique cases of “non-criteria” OAPS, complicating severer midtrimester oligohydramnios. This patient has a history of a morphologically normal fetal loss, and the presence of intermittent aPLs (<12 weeks apart). Severe oligohydramnios was detected at the pregnancy of 22 weeks, and intrauterine growth restriction occurred latter. She was treated by TNF-α blockers in combination of low dose aspirin (LDA) plus low molecular weight heparin (LMWH), and delivered a healthy baby at the pregnancy of 37 weeks. No complications were observed in the mother and child during the follow-up period of ten months.
Conclusion: TNF-α blockers in combination of LAD and LMWH appears to be a promising treatment for refractory obstetric complaints related to aPL.
Coping strategies for batch patient admission in super large temporary hospitals: A case review and effectiveness evaluation
Authors: Huang Chen , Bi Yufang , Jing Feng , Chen Erzhen , Shang Hanbing , Yang Zhitao , Chen Ying , Zhang Yibo 
Published: September 2023

Abstract
Background: In the beginning of March 2022, coronavirus disease-2019 (COVID-19) rapidly spread in Shanghai. In order to cope with the epidemic, more than 110 fangcang hospitals with over 250000 beds were constructed. Thus, effective batch patient admission strategies suitable to meet the characteristics of fangcang hospital are of essential importance. To summarize the experience of batch patient admission during the operation of three super large square cabin hospitals in Shanghai.
Methods: A case review and effectiveness evaluation based on the batch treatment of patients in three super large Super large temporary hospitals in Shanghai. This case review investigated two methods of batch patient admission in three large Super large temporary hospitals established in Shanghai, China, between March and May 2022, and compared the efficiency and risks of the two methods, as well as summarized the coping strategies for batch patient admission in large square cabin hospitals.
Results: Under the same staffing conditions, the batch patient admission mode of “treatment before triage” was used. The average number of patients admitted per hour, the average number of patients admitted within 72 h in each branch, and the maximum number of patients admitted per hour in each branch were significantly higher compared to the traditional patient admission mode of “triage before admission.” However, the proportion of patients who did not meet the admission criteria in this mode was high, and there was a significant medical risk.
Conclusions: Establish a scientific, standardized, and reasonable batch patient admission strategy to effectively respond to the large number of patients admitted to the shelter hospital.
WITHDRAWN: A Flexible Discrete Generator with Mathematical Characterization, Properties, Count Statistical Modeling and Inference
Authors: Alkhayyat Salwa L. , Mutairi Aned Al , Nassr Said G. , Alsuhabi Hassan , Hamedani G.G. , Ibrahim Mohamed , Mus Abdisalam Hassan , Yousof Haitham M. 
Published: September 2023

Abstract
In this piece of work, we examine and present a completely new discrete family of distributions that we have created. Our investigation into the relevant mathematical properties and characterizations of the system makes use of both analytical and numerical methods. We focus on a particular member of this family so that we can study its theoretical foundations as well as its graphical and numerical representations. This new model contains a number of different hazard rate functions, some of which are referred to as "increasing constant," "decreasing-constant-increasing (U)," "constant," "U-constant," "decreasing," and "J-shape." In a similar vein, the model's probability mass function provides a variety of forms, all of which are helpful and practical. These forms include "asymmetric left skewed," "right skewed with wide peak," "right skewed," "bimodal," "symmetric," and "right skewed," amongst others. Each of these forms is valuable and applicable in their own way. These forms might be discovered in the probability mass function that the model generates. In this investigation, in addition to the Bayesian estimating technique under the traditional loss function of squared errors, we investigate and make use of a total of eight estimate strategies that are not founded on Bayesian theory (classical methods). Simulations employing the Markov Chain Monte-Carlo method are run in order for comparing the Bayesian way of estimation with the more traditional approach of estimating values. According to the findings that we've compiled, the estimation strategy that is referred to as maximum likelihood yields the most accurate results across the board and for all different types of sample sizes. In addition, we evaluate and contrast the various methods of estimation by making use of four distinct real dataset sets; this indicates the versatility of the unique model that we have developed.
Atomic dynamics of electrified solid-liquid interfaces in liquid cell TEM
Authors: Zheng Haimei , Zhang Qiubo , Song Zhigang , Sun Xianhu , Liu Yang , Wan Jiawei , Betzler Sophia , Zheng Qi , Shangguan Junyi , Bustillo Karen , Ercius Peter , Narang Prineha , Huang Yu 
Published: September 2023

Abstract

Electrified solid-liquid interfaces play a key role in various electrochemical processes relevant to electrocatalysis1-3, batteries4,5, and supercapacitors6,7 in energy science, and other processes in biology8 and geochemistry9. The electron and mass transport at the electrified interfaces may result in structural modifications that remarkably influence the reaction pathways, for example, electrocatalyst surface restructuring during reactions can significantly impact the catalysis mechanisms and reaction products1-3. Despite its significance, direct probing the atomic dynamics of solid-liquid interfaces under electric biasing is challenging due to the nature of being buried in liquid electrolytes and the limited spatial resolution of current techniques for in situ imaging through liquids. Here, with our development of advanced polymer electrochemical liquid cells for transmission electron microscopy, we are able to directly monitor the atomic dynamics of electrified solid-liquid interfaces during Cu-catalyzed CO2 electroreduction reactions. Our observation reveals a fluctuating liquid-like amorphous interphase. It undergoes reversible crystalline-amorphous structural transformations and flows along the electrified Cu surface, thus mediating the crystalline Cu surface restructuring and mass loss through the interphase layer. The combination of real-time observation and theoretical calculations unveils an amorphization-mediated restructuring mechanism resulting from charge-activated surface reactions with the electrolyte. Our results hold significant implications for utilizing transient interphase to control catalyst surface restructuring, thus tuning the catalytic reactions. It also opens many opportunities to explore the atomic dynamics and its impact in broad systems involving electrified solid-liquid interfaces by taking advantage of the in situ imaging capability.
H3K36 methyltransferase NSD1 protects against osteoarthritis through regulating chondrocyte differentiation and cartilage homeostasis
Authors: Zou Weiguo , Shao Rui , Suo Jinlong , zhang zhong , Kong Mingxiang , Ma Yiyang , Wen Yang , Liu Mengxue , Zhuang Lenan , Ge Kai , Bi Qing , Zhang CQ 
Published: September 2023

Abstract
Osteoarthritis (OA) is the most common joint diseases, there are no disease-modifying drugs, and the pathological mechanisms of OA need further study. Here, we show that H3K36 methylations were decreased in senescent chondrocytes and age-induced osteoarthritic cartilage. Transgenic K36M/+; Prrx1-Cre mice showed articular cartilage destruction and osteophytes formation. Conditional knockout Nsd1Prrx1-Cre mice, but not Nsd2Prrx1-Cre or Setd2Prrx1-Cre mice, replicated the phenotype of K36M/+; Prrx1-Cre mice. Immunostaining results showed reduced anabolic and increased catabolism in Nsd1Prrx1-Cre mice, along with decreased chondrogenic differentiation. Transcriptome and ChIP-seq data revealed Osr2 was a key factor affected by Nsd1. Intra-articular delivery of Osr2 adenovirus effectively improved the homeostasis of articular cartilage in Nsd1Prrx1-Cre mice. In human osteoarthritic cartilages, both mRNA and protein levels of NSD1 and OSR2 were decreased. Our results indicate that NSD1 induced H3K36 methylations and OSR2 expression play important roles in articular cartilage homeostasis and osteoarthritis. Targeting H3K36 methylation and OSR2 would be a novel strategy for osteoarthritis treatment.
Emergence of Broken Symmetry Via Odd Viscosity in Underdamped Spinner Swarms
Authors: Austin Robert , Li Shengkai , Phan Trung , Wang Gao , Khuri Ramzi , Wilson Jared , Liu Liyu 
Published: September 2023

Abstract

Broken symmetry is an emergent phenomena. We show here the unexpected broken symmetry emergence of high spin state minority spinners in an active swarm of mixed spin handedness internally driven spinners. This occurs because depending on the relative spin sign, internally driven spinners can act as their own anti-particles and annihilate their spins, transferring their spin angular momentum into orbital angular momentum, an inertial version of odd (Hall) viscosity. Since our spin drive comes from active blowers on each spinner future work will allow for the incorporation of individual computation and decision making in the dynamics of the spinners.
GPD1L As a prognostic biomarker associated with Treg immune-infiltration and lipid metabolism for Clear cell renal cell carcinoma
Authors: Yang Ming , Gong Chuhui , Pang Dejiang , Song Kangping , Huang Ning , Ma Hongbo , Gong Hui , Chen Honghan , Xu Weitong , Yang Yu , Guo Shujin , Xiao Hengyi 
Published: September 2023

Abstract

Background
Clear cell renal cell carcinoma (ccRCC) is a prevalent tumor in the urinary system, presenting a poor prognosis yet being accompanied by a high degree of immune infiltration. Understanding the mechanisms underlying this abnormal infiltration and identifying prognostic biomarkers in this regard is crucial for improving therapeutic outcomes.
Methods
The expression of GPD1L in ccRCC was analyzed using a common database (TCGA). The expression of GPD1L in ccRCC cell lines and tissue samples was verified by western blotting, real time qPCR and immunohistochemistry. The predictive value of GPD1L was evaluated by survival analysis, ROC curve and Cox regression analysis. We used GO, KEGG and gene set enrichment analysis (GSEA) to verify each other. Then the single cell sequencing dataset (GEO) was further analyzed and verified, and the functional phenotype of GPD1L in ccRCC was explored by functional experiments. In addition, the correlation between the expression level of GPD1L and drug resistance of AKT-mTOR pathway was analyzed based on Genomics of Drug Sensitivity in Cancer database (GDSC).
Results
We identified glycerol-3-phosphate dehydrogenase 1-like (GPD1L) as a prognostic biomarker in ccRCC, which may facilitate the adaptive survival of tumor cells via enhanced regulatory T cells (Tregs) infiltration and lipid metabolism reprogramming in ccRCC. Our results suggest that there is a significantly diminished GPD1L in ccRCC patients with poorer survival probability. Mechanically, a significant negative correlation between GPD1L expression and Tregs infiltration, and GPD1L-related metabolic analysis reflected the correlation between Tregs and lipid metabolism. In addition, GPD1L expression levels also influence the malignant phenotype of ccRCC and the drug resistance to AKT and mTOR targeted therapy.
Conclusions
Taken together, our results supported GPD1L could be a valuable biomarker for predicting and intervening in ccRCC progression. These insights could shed light on the complex interplay between tumor cell adaptive survival and Treg infiltration, which reflected that the comprehensive and systemic role of GPD1L in ccRCC.
Barriers and Opportunities for Telemedicine Volunteerism - A Case Study in India
Authors: D'Souza Karishma , Singh Saksham , Westgard Christopher M. , Barnhardt Sharon Marie 
Published: September 2023

Abstract
Background
The recent growth of telemedicine in middle and lower-middle-income countries was further propelled by the COVID-19 pandemic, birthing new models of telemedicine during this period. One such model was volunteer-based telemedicine networks. By leveraging existing infrastructure and resources to more efficiently allocate health personnel, this model allayed some of the burden placed on health systems by the pandemic. However, there is insufficient understanding about volunteer-based telemedicine models, especially on the human resources engagement on such networks. This study aims to understand the motivations and barriers to medical provider engagement with a volunteer telemedicine network during COVID-19, and the mechanisms that can potentially sustain volunteer provider engagement to address healthcare demands beyond the pandemic.
Methods
In-depth qualitative interviews were conducted with medical providers volunteering on a multi-state telemedicine network in India during the COVID-19 pandemic. Data were analyzed using thematic content analysis methods.
Results
Most providers reported being motivated to volunteer by a sense of duty to serve during the pandemic.
Providers suggested organizational-level measures to make the process more efficient and facilitate a more rewarding provider-patient interaction. These included screening calls, gathering patient information prior to consultations, and allowing for follow-up calls with patients to close the loop on consultations. Many providers stated that non-financial incentives are enough to maintain providers’ volunteer engagement. However, providers expressed mixed feelings about financial incentives. Some stated that financial incentives are needed to maintain long-term provider engagement, while others stated that financial incentives would devalue the volunteer experience. Most providers highlighted that telemedicine can increase access to healthcare, especially to the rural and underserved, even after the pandemic. Providers also expressed an interest in continuing to volunteer with the network if the need arose again.
Conclusion
Our study findings suggest that medical providers are highly intrinsically motivated to volunteer during large healthcare emergencies and beyond to address the healthcare needs of the underserved. Following the recommendations presented in the study, telemedicine networks can more successfully engage and maintain volunteer providers. Volunteer-based telemedicine networks have the potential to bridge shortages of health personnel in resource-constrained settings both in times of crises and beyond.