bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rubric vs. numeric rating scale: agreement among evaluators on endodontic treatments performed by dental students
Authors: Escribano Nuria , Belliard Virginia , Baracco Bruno , Silva Dayana Da , Ceballos Laura , Fuentes M. Victoria 
Published: December 2022

Abstract
Background
Students´ assessment should be carried out in an effective and objective manner, which reduces the possibility of different evaluators giving different scores, thus influencing the qualification obtained and the consistency of education. In the present study, we aimed to determine the agreement among four evaluators and compare the overall scores awarded when assessing portfolios of endodontic preclinical treatments performed by dental students by using an analytic rubric and a numeric rating scale.
Methods
A random sample of 42 portfolios performed by fourth-year dental students at preclinical endodontic practices were blindly assessed by four evaluators using two different evaluation methods: an analytic rubric specifically designed and a numeric rating scale. Six categories were analyzed: radiographic assessment, access preparation, shaping procedure, obturation, content of the portfolio, and presentation of the portfolio. The maximum global score was 10 points. The overall scores obtained with both methods from each evaluator were compared by Student's t. The influence of the difficulty of the endodontic treatment on the evaluators´ scores was analyzed by one-way ANOVA. Statistical tests were performed at a pre-set alpha of 0.05 using Stata 16.
Results
Difficulty of canal treatment did not influence the scores of evaluators, irrespective of the evaluation method used. When the analytic rubric was used, inter-evaluator agreement was substantial for radiographic assessment, access preparation, shaping procedure, obturation, and overall scores. Inter-evaluator agreement ranged from moderate to fair with the numeric rating scale, achieving higher overall scores. Presentation and content of the portfolio showed slight and fair agreement, respectively, among evaluators, regardless the evaluation method applied.
Conclusions
Assessment guided by an analytic rubric allowed evaluators to reach higher levels of agreement than those obtained when using a numeric rating scale. However, the rubric negatively affected overall scores.
An FSV Analysis Approach to verify the Robustness of The Triple-Correlation Analysis Theoretical Framework for Developing a Gas Warning System
Authors: Wu Robert. M.X , Zhang Zhongwu , Wang Yongwen , Shafiabady Niusha , Yan Wanjun , Gou Jinwen , Ma Yanyun , Gide Ergun , He Kaimin , Fan Jianfeng , Zhao Haijun , Shi Fangfang , Wang Ya , Zhang Huan 
Published: December 2022

Abstract
This research aims to use a proposed verification analysis approach -First-round – Second-round – Verification round (FSV) analysis approach to verify the robustness of the Trip-Correlation Analysis Theoretical Framework for developing a gas warning system. A mixed qualitative and quantitative research methodology is adopted, including a case study and correlational research. Our previous work found strong correlations between gas, temperature, and wind in the gas morning system. This research verifies the robustness of the Triple-Correlation Analysis Theoretical Framework, which integrating data on temperature and wind into the gas can improve warning systems’ sensitivity and reduce the incidence of explosions. The outcomes imply that Trip-Correlation Analysis Theoretical Framework is potentially valuable for developing other warning systems. The proposed FSV approach could be adopted for exploring data patterns insightfully to offer new perspectives to develop warning systems for different industry applications.
Genome-Wide Analysis of the NAC Gene Family and Functional Verification of the DcNAC043 in Dendrobium catenatum
Authors: Liu Miao , Tian Tian , Li Yong-quan , Tang Liu , Tian Yu-hang , Zhang Yu-jin , Shangguan Li-yang , Hang Ye , Zhang Ming-sheng , Huang Ming-jin 
Published: December 2022

Abstract
Background
The NAC (NAM, ATAF1/2 and CUC2) domain protein plays an important role in plant growth and development. The function of members of NAC gene family has been deeply studied in many plants. However, the evolutionary relationships and characteristics of NAC family genes in Dendrobium catenatum (D.candidum) unclear.
Results
In this study, we identified 33 NAC genes in D.catenatum, all contain NAM conservative domain. Subcellular localization predictions indicated that all the DcNAC proteins are localized to the nucleus. Phylogenetic analysis suggested that the DcNAC gene family could be divided into four groups. Then, the amino-acid composition, physicochemical properties, gene structure, motif, and promoter cis-acting elements were analyzed, the evolutionarily conservative gene DcNAC043 was found. Using qRT-PCR, DcNAC043 was proved to respond to drought stress induction in D.catenatum. At the same time, phloroglucinol staining proved that the expression of DcNAC043 in the plant was up-regulated, which could increase the lignin content in the plant.
Conclusions
We identified 33 NAC genes in D.catenatum, which supplemented the relevant information of NAC gene family in D.catenatum. At the same time, the gene function of DcNAC043 and its contribution to the response of Dendrobium to drought stress were verified. These results provide a comprehensive evolutionary history of NAC genes in D.catenatum, and insight into the biological functions of DcNAC043 genes in response to drought stress.
Experiential COVID-19 factors predicting resilience among Spanish adults
Authors: ALVAREZ MAR ALCOLEA , PINTO NATALIA SOLANO 
Published: December 2022

Abstract
The pandemic caused by COVID-19 has meant for citizens a constant adaptation to health measures in order to try to stop transmission of the virus. During this adaptation process, different psychosocial aspects have caused consequences for people’s mental health to a greater or lesser extent. The objective of this research is to analyze the relationship between resilience and experiential COVID-19 factors. Sample was comprised of Spanish adults (n = 1000; age 18–79 [mean = 40.43],793 female, 201 male, and 2 non binary sex). These people participating in an online sub-study focused on the impact of COVID-19 experiences. The research has been cross-sectional, descriptive and correlational design. The instrument created for this research was a specific online questionnaire, including the “Scale of satisfaction with life” (SWLS, Diener et al., 1985, Spanish version, Atienza, et al., 2000) and “Scale of resilience” (RS, Wagnild & Young, 1993, Spanish version, Sánchez-Teruel, et al., 2015). The results obtained show how people who have been able to face the pandemic in a responsive and adaptive way have high resilience. Specifically, those participants that accepting the use of masks, vaccinations and confinement obtained high resilience. Using public funding and allocating research to the development of programs to promote resilience, adaptative beliefs and prosocial behaviors becomes basic to live in a world in constant change.
Development of Information System Documentations Postpartum Obstetrics and Infant Physiology Midwife Integrated with Credit Numbers as Civil Servants Based on Electric Word Browser (Web) (SISNIBI NANGKET)
Authors: fadhilah nur , Suyuti Ansar , ahmad mardiana 
Published: December 2022

Abstract
Documentation system that is not reported, about 82% of PNS Midwifes do not understand the system of recording and calculating their own credit numbers, thus imposing the work to other people who are more knowledgeable to complete it to fulfill the requirements for promotion and regular reporting for 1 year. This research aims to analyze the effect of perceived convenience and usefulness on the interest of civil servant Midwifes in using an integrated physiological information system for postpartum midwifery and infant midwifery credit scores for web-based civil servant Midwifes. This research uses several hardware, including, laptops connected to the internet, servers, software to build systems and connected via Internet access with the website (http://www.sisnibinangket.com). The SISNIBI NANGKET application is the first application in Indonesia that is used to facilitate civil servant Midwifes in the process of recording, reporting and calculating credit scores. The design of this research is observational analytic, namely research that explains the relationship between variables through hypothesis testing. Data analysis was carried out using univariate and bivariate analysis tested using the Chi-Square test. The results showed that there was a significant relationship between perceived convenience and perceived usefulness on the interest of civil servant Midwifes in using the SISNIBI NANGKET information system with p value p = 0.000 < = 0.005.
Impact of spinal sagittal malalignment on locomotive syndrome and physical function in community-dwelling older women
Authors: Yahata Mio , Watanabe Kei , Tashi Hideki , Ohashi Masayuki , Yoda Takuya , Nawata Atsushi , Nakamura Kazutoshi , Kawashima Hiroyuki 
Published: December 2022

Abstract
Background
Adult spinal deformity has a substantially debilitating effect on older people’s physical and mental health. However, the impact of sagittal malalignment on locomotive syndrome (LS), sarcopenia, and physical function in community-dwelling older women has not yet been clarified. This study aimed to investigate the association between these factors in community-dwelling older women.
Methods
A total of 361 women were recruited from participants performing aquatic exercises in a rural area of Japan. The body mass index, skeletal muscle mass index, trunk muscle mass, spinal inclination angle (SIA), grip strength, timed up-and-go test (TUG), maximum stride of the participants, and one-leg standing time were measured. Low back pain (LBP)- and health-related quality of life (HRQOL) were evaluated using the Oswestry Disability Index (ODI) and the Short-Form 8 questionnaire. Associations between the global sagittal alignment using SIA and investigating parameters were analyzed.
Results
The prevalence of sarcopenia was 16.6%. The prevalence of LS (stages 1, 2, and 3) was 43.8% (158 of 361), and the number of participants in each LS stage was 203 (stage 0), 95 (stage 1), 28 (stage 2), and 35 (stage 3). The SIA was significantly correlated with the 25-question geriatric locomotive function scale (r′= 0.292, p < 0.001), ODI (r′= 0.267, p < 0.001), and TUG (r′= 0.453, p < 0.001) after adjusting for age. In the receiver-operating characteristic curve analysis, the cutoff values of SIA for LS ≥ stage 2 and ODI ≥ 20% were 5°.
Conclusions
LBP-related QOL and physical performance were significantly associated with global sagittal alignment. Global sagittal alignment was correlated with the three-stage category of LS but not with sarcopenia. The spinal inclination of 5° was a cutoff value to predict exacerbation of mobility function and HRQOL status.
Bone Wax Occlusion: A Simple Method for managing Cerebrospinal Fluid Leakage during Anterior Cervical Discectomy and Fusion Surgery
Authors: Deng Xuan-Geng , Cui Wei , Gu Tao , Sun Yu-Liang , Hou Wei , Wan Dun , Shi Hua-Gang 
Published: December 2022

AbstractBackground Anterior cervical discectomy and fusion (ACDF) surgery is an important therapy for cervical degenerative diseases and trauma. Cerebrospinal fluid (CSF) leakage caused by intraoperative iatrogenic dural injury is an unusual but relatively troublesome complication. This retrospective study aimed to explore the effectiveness of using bone wax occlusion to manage iatrogenic CSF Leakage during ACDF surgery. Methods Retrospective study was performed. The main technical point of bone wax occlusion is as follows: After the CSF Leakage was found during ACDF surgery, complete occlusion of the anterior gap between the intervertebral cage and the upper and lower vertebral bodies with bone wax, followed the canal decompression and implantation of the fusion cage. The postoperative incision drainage catheter was indwelt or not according to the number of surgical segments, with no need for lumbar drainage. The effectiveness of the method was verified by reviewing the cases in which the CSF Leakage occurring during ACDF surgery from May 2019 to June 2022 was managed with bone wax occlusion. Results In total, 5 cases were found to have CSF Leakage due to unintentional iatrogenic dural injury during surgery and the method for bone wax occlusion was all adopted for them among 273 cases of ACDF surgery in 3 years. In 5cases, 3cases were two levels with incision draft tube, and left 2cases were single level without incision or lumbar drainage tube. There were no CSF Leakage related manifestations in all 5 cases after surgery, and bone wax occlusion was successful. Conclusion For CSF Leakage caused by unintentional dural injury during ACDF, bone wax occlusion is a simple and effective method.
A magnetic hydrogel for the efficient retrieval of kidney stone fragments during ureteroscopy
Authors: Ge Tianjia , Roquero Daniel , Holton Grace , Mach Kathleen , Prado Kris , Lau Huber , Jensen Kristin , Chang Timothy , Conti Simon , Sheth Kunj , Wang Shan , Liao Joseph 
Published: December 2022

Abstract
Surgical management of stone disease aims for complete clearance, yet only 60–75% of ureteroscopic laser lithotripsy treatments achieve complete stone-free status. Up to 30% patients with residual fragments < 2 mm in size experience stone-related complications. We demonstrate a method of stone fragment retrieval in which fragments are coated with a magnetic hydrogel and retrieved en masse with a magnetic guidewire. The magnetic hydrogel facilitated robust in vitro capture of stone fragments up to 4 mm in size across a wide range of stone compositions. The components exhibited no cytotoxicity in cell culture and only superficial effects on the urothelium in ex vivo human urothelium and in vivo mouse bladders. Furthermore, the hydrogel demonstrated antimicrobial activity against common uropathogens on par with that of common antibiotics. By enabling the efficient retrieval of kidney stone fragments, our method could lead to improved stone-free rates and patient outcomes.
Characterising the Ionic Transport and Thermodynamic Properties of Potassium-ion Electrolytes
Authors: Dhir Shobhan , Jagger Ben , Maguire Alen , Pasta Mauro 
Published: December 2022

Abstract
Potassium-ion batteries (KIBs) are emerging as a promising complementary technology to lithium-ion batteries (LIBs) due to the availability and low cost of potassium. The lower charge density of K+ compared to Li+ has been suggested to result in superior ion transport in the electrolyte with KIBs potentially able to deliver superior rate capability and low-temperature performance. However, a comprehensive characterisation of the ionic transport and thermodynamic properties of nonaqueous K-ion electrolytes, critical to the development of KIBs, has not yet been reported. Here, for the first time, we fully characterise the ionic transport and thermodynamic properties of a nonaqueous K-ion electrolyte, potassium bis(fluorosulfonyl)imide (KFSI) in 1,2-dimethoxyethane (DME) and compare it with its Li-ion equivalent (LiFSI:DME) over the concentration range 0.25-2 m. This was realised by developing a K metal preparation protocol enabling sufficient K metal stability for electrolyte characterisation. Our results demonstrate that KFSI:DME indeed displays significantly higher salt diffusion coefficients and cation transference numbers than LiFSI:DME, evidencing the potential for high-power applications of KIBs.
Heart rate responses in critical care trainees during airway intubation: a comparison between the simulated and clinical environments
Authors: Ji Jackson , Langley Bridget , Zordan Rachel , Dijk Julian , Thies Heidi Helene Graham , Brahmbhatt Anjalee , Torcasio Clarissa , Cunningham Neil 
Published: December 2022

Abstract
Objective
This study aimed to compare the heart rate response to stress during airway intubations in clinical practice and a simulated environment.
Methods
Twenty-five critical care registrars participated in the study over a 3-month period. Heart rate data during intubations was recorded by a FitBit® Charge 2 worn by each participant during their clinical practice, and during a single simulated airway management scenario. The heart rate range was calculated by subtracting the baseline working heart rate (BWHR) from the maximum functional heart rate (MFHR). For each airway intubation performed participants recorded an airway diary entry. Data from intubations performed in the clinical environment was compared to data from a simulated environment. Heart rate changes were observed in two ways: percentage rise (median) across the 20-minute intubation period and; percentage rise at point of intubation (median).
Results
Eighteen critical care registrars completed the study, mean age 31.8 years (SD=2.015, 95% CI=30.85-32.71). Throughout the 20-minute peri-intubation recording period there was no significant difference in the median change in heart rates between the clinical (14.72%) and simulation (15.96%) environment (p=0.149). At the point of intubation there was no significant difference in the median change in heart rate between the clinical (16.03%) and the simulation (25.65%) environment groups (p=0.054).
Conclusion
In this small population of critical care trainees, a simulation scenario induced a comparable heart rate response to the clinical environment during intubation. This provides evidence that simulation scenarios are able to induce a comparable physiological stress response to the clinical environment and thus facilitates effective teaching of a high-risk procedure in a safe manner.
Establishment and validation of a prediction model for estimating the risk of brain metastasis in patients with small-cell lung cancer
Authors: Hong Xin , Yang Fan , Wang Zhe , Wang Xi-cheng 
Published: December 2022

Abstract
We aimed to identify the predictors of brain metastases (BM) and develop a model to estimate the binary risk of BM in patients with small-cell lung cancer (SCLC). Patients diagnosed with SCLC between 2010 and 2017 were identified from the SEER Database and a logistic regression model was applied to identify the risk factors for BM. Independent predictors were used to establish a BM prediction model, which was evaluated in terms of discrimination, calibration, and clinical usefulness using the area under the receiver operating characteristic curve (AUC), calibration plot, and decision curves. The results were validated using an independent cohort. A total of 39,271 patients with SCLC were randomly assigned to the development and validation cohorts. Multivariate logistic regression analysis revealed age, race, number of malignancies, primary site, laterality, chemotherapy, radiotherapy, surgery, liver metastasis, lung metastasis, and bone metastasis as independent risk factors for BM. These factors were used to establish the BM risk prediction model, which was then visualized as a nomogram that showed good predictive accuracy, calibration, and clinical usefulness (development cohort: AUC, 0.715; 95% confidence interval (CI), 0.705–0.725; validation cohort: AUC, 0.706; 95% CI, 0.696–0.716). The new prediction model can better evaluate the risk of BM in patients with SCLC, thus providing a clinical reference value when making decisions regarding prophylactic cranial irradiation.
Hyper Tuning Using Gridsearchcv on Machine Learning Models for Prognosticating Dementia
Authors: J VEERALAGAN. , PRIYA S. MANJU 
Published: December 2022

Abstract
Alzheimer's disease (ASD) is a devastating neurological condition that collectively degenerates a human being's basic cognitive processes (thinking, attention control, etc.) in older adults and finally leading to death. The prognosis of Alzheimer's disease is important because the health decline is caused by its progression; it can be either contained or prevented. Furthermore, detecting Alzheimer's disease early and accurately helps clinicians to offer case-specific medical treatment. Algorithms of machine learning have been widely used in a variety of applications as well as regions. The hyper-parameters of a machine learning model must be tuned to fit it into various problems. Even though there are various automatic optimization approaches available, each has its own set of advantages and disadvantages when applied to different sorts of situations. In this research article, work of GridSearchCV() hyper tuning is used because of its strength and its exhaustive search. The various ML algorithm is tuned with GSCV() and the performance is compared using a number of model checking matrices like Accuracy, Precision, Recall, and F1-Score and concluded which model fits the dataset that is loaded.
Medial prefrontal cortex oxytocin mitigates epilepsy and cognitive impairments induced by traumatic brain injury through reducing neuroinflammation in mice
Authors: Chen Wen , Man Xiaoxiao , Zhang Yu , Yao Guangyan , Chen Jing 
Published: December 2022

Abstract
Traumatic brain injury (TBI) is a major risk factor to develop epilepsy and cognitive impairments. Neuropeptide oxytocin has been previously evidenced to produce antiepileptic effects. However, the involvement of central oxytocin in TBI-induced epileptic status and cognitive dysfunctions is not fully elucidated. In this study, we aim to investigate the role of oxytocin on a TBI model followed by seizure induction to clarify whether the epilepsy and cognitive deficits could be mitigated by oxytocin. TBI was established by weight drop and epileptic behaviors were induced by pentylenetetrazole (PTZ) injection in mice. Moreover, oxytocin was microinjected into the medial prefrontal cortex (mPFC) to observe the effects on the epilepsy and cognition. The blood-brain barrier (BBB) function and the neuroinflammation were measured by Evans Blue staining and enzyme-linked immunosorbent assays, respectively. Mice exposed to TBI demonstrate increased vulnerability to PTZ-mediated seizures and cognitive disturbances with a decrease in peripheral and brain oxytocin levels. Additionally, TBI reduces oxytocin, disrupts the BBB permeability and triggers neuroinflammation in mPFC in PTZ-treated mice. Intra-mPFC oxytocin simultaneously mitigates epilepsy and cognitive impairments. Finally, oxytocin restores BBB integrity and reduces mPFC inflammation in PTZ-treated TBI mice. These findings showed that intra-mPFC oxytocin suppressed the seizure vulnerability and cognitive deficits in TBI mice. The normalization of BBB integrity and inhibition of neuroinflammation may be involved in the antiepileptic and cognition-improved effects of oxytocin, suggesting that targeting inflammatory procedure in mPFC may decrease the risk to develop epilepsy and cognitive impairments in individuals previously experienced TBI.
Carbon Emission-aware and Trusted Multi-tenant, Multi-cloud Storage
Authors: Sharma Aditi , Kaur Parmeet 
Published: December 2022

Abstract
Tenants of service-based model of cloud computing benefit by saving expenditures on installation and maintenance of resources. However, the extensive use of cloud computing has resulted in a huge increase in the energy consumption by cloud data centers. This can have adverse effect on the environment due to the high amount of carbon emission into the atmosphere by the data centres. Therefore, this paper presents a carbon-emission aware strategy to allocate storage to tenants in a multi-cloud system. The proposed strategy prefers to allocate storage in data centres that have low carbon emissions than the ones with high emissions. Further, trust of the tenants in the multi-tenant, multi-cloud system is maintained by building a blockchain for proof of storage allocations. The results of simulation verify that our proposed approach, Multi-Temperature based Data Centre Allocation Algorithm (MTDC) reduces carbon emission in comparison to two standard approaches, Location based DC allocation (LDC) and Green energy-based DC allocation (GDC) while meeting the response time requirements of tenant requests.