bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of machine learning based BIM in green public building design
Authors: Wang Dan , Chang Fuhua 
Published: February 2023

Abstract
Public activities are mostly carried out in large public buildings, which are closely related to social management. At present, people's demand for public building facilities is increasing, its shape evolution is becoming more complex, and the scientific and technological content of construction related technology is also increasing. The development trend of green public buildings is more and more strong. The traditional building design can not effectively deal with the energy consumption of public buildings and people's demand for their performance. This paper introduces BIM and machine learning technology to study their practical application in the design of green public buildings, and tests the perfect machine learning algorithm. According to the experimental test results, the building energy consumption decreased by 14.3%, the carbon emission decreased by 11.39%, and the absolute value of PMV thermal comfort decreased by 34.7%, which obviously achieved the optimization effect. BIM Technology parametric design can enable the design model formed by conceptual design research to automatically draw construction drawings, detailed drawings and other drawings according to the drawing requirements and standards, thus saving the designer's time and enabling him to transfer the drawing time to the program design. Finally, through experiments, the economy, rationality and operability of using BIM Technology to design green public buildings are confirmed. In this paper, machine learning and BIM Technology are introduced, so as to carry out design research for green public buildings design.
Child_Sum EATree-LSTMs: Enhanced Attentive Child_Sum Tree-LSTMs for Biomedical Event Extraction
Authors: Wang Lei , Cao Han , Yuan Liu , Guo Xiaoxu , Cui Yachao 
Published: February 2023

Abstract
Background
The tree-structured neural network can deeply extract lexical representations of sentence syntactic structure. Some studies have utilized Recursive Neural Network to detect event triggers.
Methods
We incorporate the attention mechanism into Child-Sum Tree-LSTMs for the task of biomedical event triggers. Based on the previous research, we incorporated attention mechanism into Child-Sum Tree-LSTMs to assign an attention weight for the adjacent nodes to detect the biomedical event trigger words. The existing shallow syntactic dependencies in Child-Sum Tree-LSTMs ignore the deep syntactic dependencies. To enhance the effect of attention mechanism, we integrate the enhanced attention mechanism into the Child-Sum Tree-LSTMs model using the deep syntactic dependencies.
Results
Our proposed model integrating an enhanced the attention mechanism in Tree-LSTM on MLEE and BioNLP’09 both show best performance. The model also achieves the better performance on almost all of the complex event categories on the test set of BioNLP’09/11/13.
Conclusion
We evaluate the model performance on the MLEE and BioNLP datasets, and the experimental results demonstrate the advantage of enhanced attention to detect biomedical event trigger words.
The dicot homolog of maize PPR103 carries a C-terminal DYW domain and is required for C-to-U editing of chloroplast RNA transcripts
Authors: McCray Tyra , Azim Mohammad , Burch-Smith Tessa 
Published: February 2023

Abstract
In plants, cytidine-to-uridine (C-to-U) editing is a crucial step in processing mitochondria and chloroplast-encoded transcripts. This editing requires nuclear-encoded proteins including members of the pentatricopeptide (PPR) family, especially PLS-type proteins carrying the DYW domain. IPI1/emb175/PPR103 is a nuclear gene encoding a PLS-type PPR protein essential for survival in Arabidopsis thaliana and maize. Arabidopsis IPI1 was identified as likely interacting with ISE2, a chloroplast-localized RNA helicase associated with C-to-U RNA editing in Arabidopsis and maize. Notably, while the Arabidopsis and Nicotiana IPI1 homologs possess complete DYW motifs at their C-termini, the maize homolog, ZmPPR103, lacks this triplet of residues which are essential for editing. We examined the function of ISE2 and IPI1 in chloroplast RNA processing in N. benthamiana. A combination of deep sequencing and Sanger sequencing revealed C-to-U editing at 41 sites in 18 transcripts, with 34 sites conserved in the closely related N. tabacum. Virus induced gene silencing of NbISE2 or NbIPI1 led to defective C-to-U revealed that they have overlapping roles at editing a site in the rpoB transcript but have distinct roles in editing other transcripts. This finding contrasts with maize ppr103 mutants that showed no defects in editing. The results indicate that NbISE2 and NbIPI1 are important for C-to-U editing in N. benthamiana chloroplasts, and they may function in a complex to edit specific sites while having antagonistic effects on editing others. That NbIPI1, carrying a DYW domain, is involved in organelle C-to-U RNA editing supports previous work showing that this domain catalyzes RNA editing.
Characteristics and Prediction Model of Hospital-acquired Influenza Using EMR
Authors: Cho Younghee , Lee Hyang Kyu , Kim Joungyoun , Yoo Ki-Bong , Choi Jongrim , Lee Yongseok , Choi Mona 
Published: February 2023

AbstractBackground:Hospital-acquired influenza (HAI) is under-recognized despite high morbidity and poor health outcomes. It is important to detect influenza infections early to prevent its spread in hospitals.Aim:This study was conducted to identify characteristics of HAI and develop HAI prediction models based on electronic medical records using machine learning.Methods:This was a retrospective observational study including 111 HAI and 73,748 non-HAI patients. General characteristics, comorbidities, vital signs, laboratory results, chest X-ray results, and room information in EMR were analysed. Univariate analyses were performed to identify characteristics and logistic regression, random forest, extreme gradient boosting and artificial neural network were used to develop prediction models.Results:HAI patients had significantly different general characteristics, comorbidities, vital signs, laboratory results, chest X-ray results and room status from non-HAI patients. The random forest model showed best performance in terms of AUC (83.4%) and the least number of false negatives. Staying in double rooms contributed most to prediction power followed by vital signs, laboratory results.Conclusion:This study found HAI patients’ characteristics and the importance of ventilation to prevent influenza infection. They would help hospitals plan infection prevention strategies and prediction models could be used to early intervene spread of influenza in hospitals.
The clinical significance and prognostic role of whole-blood Epstein-Barr virus DNA in lymphoma-associated hemophagocytic lymphohistiocytosis
Authors: Zhang Jing , Qin Shuchao , Jin Ze , Chen Qingqing , Xing Lingxiao , Qiu Tonglu , Xia Yi , Liang Jinhua , Zhu Huayuan , Wang Li , Fan Lei , Xu Wei , Li Jianyong , Miao Yi 
Published: February 2023

Abstract
Purpose: To evaluate the role of circulating Epstein-Barr virus (EBV) DNA in lymphoma-associated hemophagocytic lymphohistiocytosis.
Methods: We retrospectively analyzed 306 adult patients with lymphoma-associated hemophagocytic lymphohistiocytosis admitted to the First Affiliated Hospital of Nanjing Medical University from August 2009 to November 2022.
Results: T/NK-cell malignancies (54.3%, 166/306) were the most common subtypes, followed by B-cell non-Hodgkin lymphoma (38.2%, 117/306). Elevated whole-blood EBV DNA was observed in 55.8% (164/294) of the patients and the median number was significantly higher in the T/NK malignancies (199500, 30000-1390000) than that in the B-cell non-Hodgkin lymphoma (5520, 1240-28400, P < 0.001). The optimum cutoff value for the overall survival of EBV DNA was determined as 43600 copies/mL. Compared to the patients with EBV DNA ≤ 43600 copies/mL, those with EBV DNA > 43600 copies/mL were younger and had more T/NK-cell malignancies, more bone marrow infiltration, lower levels of neutrophils and fibrinogen, and higher levels of alanine aminotransferase, aspartate aminotransferase, lactic dehydrogenase, triacylglycerol, and β2-microglobulin. A higher load of EBV DNA (> 43600 copies/mL), thrombocytopenia (< 100×109/L), neutropenia (< 1×109/L), hypofibrinogenemia (≤ 1.5 g/L), and elevated levels of creatinine (> 133 μmol/L) were independent adverse predictors of overall survival. A prognostic index based on EBV DNA and the other four factors was established to categorize the patients into four groups with significantly different outcomes.
Conclusion: Our study identified high EBV load as a risk factor for lymphoma-associated HLH and established a prognostic index based on EBV DNA to predict patients’ outcomes.
Bioinspired handheld time-share driven robot with expandable dexterity
Authors: Wang Yunjiang , Hu Xinben , Cui Luhang , Xiao Xuan , Yang Keji , Zhu Yongjian , Jin Haoran 
Published: February 2023

Abstract
Handheld robots are welcome solutions with a short learning curve to extend operator capabilities. However, the controllable degree-of-freedoms are limited due to scarce space for actuators. Inspired by muscle movements stimulated by nerves, we report a handheld time-share driven robot composed of several motion modules powered by only one motor. The modules are connected to shape memory alloy wires as nerves for activation, to be actuated by the motor. The robot contains a 202-gram motor base and a 1.2 cm diameter manipulator consisting of serially socketed bending modules. The manipulator can be tailored in length and integrated with various instruments in situ, for non-invasive access and high-dexterous operation on remote surgical sites. The applicability was demonstrated in clinical scenarios, where a surgeon held the robot to perform transluminal experiments on a human stomach model and an ex vivo porcine stomach. The time-share driven mechanism provides a practical way to build a multi-degree-of-freedom robot for broader applications.
Acute kidney injury interacts with VKORC1 genotype on initiative warfarin dose among heart surgery recipients: a real-world research
Authors: Xiong Liang , Yu Feng , Ge Weihong , Xu Hang 
Published: February 2023

Abstract
Patients who receive heart valve surgery need anticoagulation prophylaxis to reduce the risk of thrombosis. Warfarin often is a choice but its dosage varies due to gene and clinical factors. We aim to study, among them, if there is an interaction between acute kidney injury and two gene polymorphisms from this study. We extracted data of heart valve surgery recipients from the EHR system of a medical center. The primary outcome is about the average daily dose of warfarin, measured as an additive interaction parameter between acute kidney injury and warfarin-related gene polymorphisms. The confounders, including age, sex, BSA, comorbidities (i.e., AF, hypertension, CHF), serum albumin level, warfarin-relevant gene polymorphism (i.e., CYP2C9, VKORC1), prosthetic valve type (i.e., metal, bio), and warfarin history were controlled via a multivariate-linear regression model. We found a significant additive interaction between acute kidney injury and VKORC1 (-1.17, 95%CI -1.82 to -0.53, p=0.0004). This result suggests it is probable that there is an interaction between acute kidney injury and the genotype for the warfarin dose during the initial period of anticoagulation prophylaxis.
Synergy of monoatomic copper and oxygen vacancy formed in-situ on ultrathin TiO2(B) nanosheet for efficient photocatalytic dehalogenative C−C coupling synthesis of bibenzyl
Authors: Zheng Peng , Zhang Yuanrong , Li Shuaitao , Guo Hongpian , Hu Xun , Fang Yanfen , Duan Ran , Chen Qifeng 
Published: February 2023

Abstract
Photocatalytic C − C coupling reaction plays an important role in the synthesis of organics that are widely used as fine chemicals, medicine and pesticides. However, the development of high-performance, low-cost photocatalysts to drive the C − C coupling reaction under mild conditions remains a severe challenge. Herein, we present a green photocatalytic method for the selective coupling synthesis of bibenzyl over an ultrathin TiO2(B) nanosheet photocatalyst with single-atom Cu anchored and rich in oxygen vacancy (VO), which were generated in-situ in the reaction system. The method requires no tedious pre-functionalization steps, which allows the use of cheap copper compounds as starting materials. The experimental results show that the introduction of single-atom Cu sites on the ultrathin TiO2(B) nanosheet can improve the charge transfer and separation efficiency, and the presence of surface VO not only improves the light absorption capacity but also favors the adsorption and activation of reactant benzyl bromide. More importantly, the synergy of single-atom Cu sites and surface oxygen vacancy of TiO2(B) endows the high efficiency in the C − C coupling synthesis of bibenzyl. This work provides a novel insight into the photocatalytic C − C coupling reaction through the collaborative strategy of single-atom Cu species and oxygen vacancy on ultrathin nanosheet photocatalysts.
Adaptor proteins mediate CXCR4 and PI4KA crosstalk in prostate cancer cells and the significance of PI4KA in bone tumor growth
Authors: Govindarajan Barani , Sbrissa Diego , Pressprich Mark , Kim Seongho , Vaishampayan Ulka , Cher Michael L. , Chinni Sreenivasa 
Published: February 2023

Abstract
The chemokine receptor, CXCR4 signaling regulates cell growth, invasion, and metastasis to the bone-marrow niche in prostate cancer (PCa). Previously, we established that CXCR4 interacts with phosphatidylinositol 4- kinase IIIα (PI4KIIIα encoded by PI4KA) through its adaptor proteins and PI4KA overexpressed in the PCa metastasis. To further characterize how the CXCR4-PI4KIIIα axis promotes PCa metastasis, here we identify CXCR4 binds to PI4KIIIα adaptor proteins TTC7 and this interaction induce plasma membrane PI4P production in prostate cancer cells. Inhibiting PI4KIIIα or TTC7 reduces plasma membrane PI4P production, cellular invasion, and bone tumor growth. Using metastatic biopsy sequencing, we found PI4KA expression in tumors correlated with overall survival and contributes to immunosuppressive bone tumor microenvironment through preferentially enriching non-activated and immunosuppressive macrophage populations. Altogether we have characterized the chemokine signaling axis through CXCR4-PI4KIIIα interaction contributing to the growth of prostate cancer bone metastasis.
Artificial Intelligence Inspired Design of Non-Isothermal Heat Treatments for γ - γ' Two-phase Ni-based Alloys
Authors: Nandal Vickey , Dieb Sae , Bulgarevich Dmitry S. , Osada Toshio , Koyama Toshiyuki , Minamoto Satoshi , Demura Masahiko 
Published: February 2023

Abstract
In this paper, a state-of-the-art Artificial Intelligence (AI) technique is used for a precipitation hardenable Ni-based alloy to predict more flexible non-isothermal heat treatment and to examine the possible heat treatment routes for the enhancement in strength that may be practically achieved. Additionally, AI is used to integrate with Materials Integration by Network Technology, which is a computational workflow utilized to model the microstructure evolution and evaluate the 0.2% proof stress for isothermal heat treatment (IHT) and non-isothermal heat treatment (non-IHT). As a result, it is possible to find enhanced 0.2% proof stress for non-IHTs for a fixed time of 10 minutes compared to the IHT benchmark. The entire search space for heat treatment scheduling was ~ 3 billion. Out of 1620 non-IHTs, we succeeded in designing the 110 non-IHTs schedules that outperformed the IHT benchmark. Interestingly, it is found that early-stage high-temperature for a shorter time increases the γ' precipitate size up to the critical size and later heat treatment at lower temperature increases the γ' fraction with no anomalous change in γ' size. Therefore, employing this essence from AI, we designed a heat treatment route in which we attained an outperformed 0.2% proof stress to AI-designed non-IHT routes.
Emotional Maturity, Resilience, Parent Adolescent Relationship and Peer Pressure as predictors of Psychological Well-being among adolescents of Indian Working and Non-working Mothers
Authors: Monika Monika , Majeed Jahangeer , Sharma Neha 
Published: February 2023

Abstract
Happiness and a positive state of well-being are the most desirable goals of all individuals. Every family wants to produce happy, healthy and productive humans. The social environment of the adolescents constitutes of many important factors which can directly impact their well-being. It is important to understand the factors which can greatly influence the psychological well-being of adolescents. The present study has been conducted to explore the predictive role of various individual and environmental factors as emotional maturity, resilience, parent adolescent relationship and peer pressure on the psychological well-being of adolescents of working and non-working mothers and also to assess the differences among adolescents of working and non-working mothers on these variables. The sample was 520 adolescents (260 boys and 260 girls) in the age group of 13-18 years selected purposively from five bigger districts of Punjab in terms of female employment. Psychological well-being Scale, Parenting Scale, Peer Pressure scale, Emotional Maturity Scale and 14-item Resilience Scale were used to collect the data, Step wise multiple regression and t-test were used to analyze the results. All the variables were found to significantly predict the psychological well-being of adolescents. Parent adolescent relationship was found to be the most significant predictor of psychological well-being of adolescents of working and non-working mothers, followed by resilience, peer pressure, and emotional maturity. Adolescents of working and non-working mothers were not found to differ on parent adolescent relationship, peer pressure, emotional maturity and peer pressure. Psychological well-being of adolescents of non-working mothers was found to be better than adolescents of working mothers. The findings has practical implications for the parents, counsellors, teachers to provide positive opportunities for adolescents for enhancing their psychological well-being.
Tuning the pH Response of Monolayer Hexagonal Boron Nitride/Graphene Field-Effect Transistors
Authors: Fuhr Nicholas , Azize Mohamed , Bishop David 
Published: February 2023

Abstract
Scaling the fabrication of 2D devices for pH sensing will have implications in materials and life sciences. Monolayer hexagonal boron nitride has recently reached commercial wafer-scale transferability on monolayer graphene and is hypothesized to preserve graphene quality, reducing device-to-device variation, while simultaneously screening charge density at the liquid-solid interface resulting in attenuation of pH sensitivity of the graphene transducer. The pH-dependencies of field-effect transistors derived from monolayer hexagonal boron nitride/graphene were compared to monolayer graphene on four-inch SiO2/p-type Si wafers. Photoresistless fabrication of the two-dimensional devices relied on shadow masking for metallization, and the sensing areas were defined using microcentrifuge tube masking and reactive ion etching to produce quasi-pure sensing areas. Microcentrifuge tubes sealed the devices and were opened for experimentation where the liquid-gated Dirac voltages were studied as a function of pH in 10 mM phosphate solutions. The sensitivity of the shift in the Dirac voltage versus pH of hexagonal boron nitride/graphene devices (-40 mV/pH) was smaller than bare graphene (-47 mV/pH) with greatest attenuation in the acidic regime. Moreover, triplicating this experiment revealed smaller standard deviations for the hexagonal boron nitride/graphene transistors. Then, electron beam and atomic layer deposition of AlxOy nanofilms were employed before encapsulation to study the tunability of the pH response of hexagonal boron nitride/graphene and revealed thickness-dependent enhancement, with the greatest sensitivity on 8.6 nm AlxOy/hBN/graphene/SiO2 (-100 mV/pH). Then, reversion of the pH response upon dissolving the AlxOy was characterized. In this work, nanoscale dielectrics enabled tuning of the electrical response of graphene-based pH sensors.
Research in the genetics of pheochromocytoma and paraganglioma: A bibliometric analysis from 2002 to 2022
Authors: Li Lei , Guan Lihua , Lu Yiwen , Tang Yueming , Zou Yutong , Zhong Jian , Qiu Ling 
Published: February 2023

Abstract
Over the past two decades, there has been a significant growth in articles focusing on the genetics of pheochromocytoma and paraganglioma (PPGL). We used bibliometric methods to investigate the historical changes and trend in PPGL research. There was a total of 1,263 articles published in English from 2002 to 2022 included in our study. The number of annual publications and citations in this field has been increasing in the past 20 years. Furthermore, most of the publications originated from the European countries and the United States. The co-occurrence analysis showed close cooperation between different countries, institutions, or authors. The dual-map discipline analysis revealed that majority articles focused on four disciplines: #2 (Medicine, Medical, Clinical), #4 (Molecular, Biology, Immunology), #5 (Health, Nursing, Medicine), and #8 (Molecular, Biology, Genetics). The hotspot analysis revealed the keywords that have been landmark for PPGL genetics research in different time periods, and there was continued interest in gene mutations, especially on SDHX family genes. In conclusion, this study displays the current status of research and future trends in the genetics of PPGL. In the future, more in-depth research should concentrate on crucial mutation genes and their specific mechanisms to assist in molecular target therapy. It is hoped that this study may help to provide directions for future research on genes and PPGL.
Psychosocial predictors of palliative care decisions among oncology patients: a pilot study
Authors: Asmar Abyaz , Ahmad Noor-Us-Sabah , Mushtaq Aliza , Khokhar Muhammad Abbas , Tahir Muhammad Zain , Majeed Muhammad Hassan 
Published: February 2023

Abstract
Objective:
To evaluate the demographic, social, and religious factors influencing perceptions towards receiving only palliative care near the end of life among cancer patients in Pakistan, and to determine their preferred location for receiving end-of-life care and the reasons behind their choice.
Results:
Out of a total of 112 patients, 61% of patients preferred palliative care. Those who were well aware of their prognosis (OR=5.383, p=0.006), had a positive perception of palliative care (OR=4.165, p=0.001) and believed that it aligned with their religious beliefs (OR=2.964, p=0.004) indicated that they would prefer palliative care over curative treatment near the end of life. Fewer patients preferred to opt for palliative care with the increasing cost of stay per day at the hospital (OR=0.121, p=0.002) and increasing age (OR=0.939, p=0.001). More than two-thirds of the patients preferred receiving palliative care at their homes. Some of the major reasons for this included being able to receive care from friends or family (n= 27) and being able to let their family have a normal life (n=20).