bluuebunny/crossref_metadata_2025_split huggingface dataset:
New approach of GA–PSO‐based clustering and routing in wireless sensor networks
Authors: Anand Veena , Pandey Sudhakar 
Published: September 2023

SummaryWireless sensor networks (WSNs) not only have become an essential technology in the current scenario but also has been established as a core technology for many applications, like the Internet of Things (IoT). The drawback of limited energy resources in WSN creates the challenge of designing an energy‐efficient network topology and routing path. As these devices are generally not attended for any maintenance, such as battery replacement or charging, these resources need to be intelligently used. The paper represents a methodology for enhancing the lifetime of a network by using a genetic algorithm‐based clusteringand particle swarm optimization‐based routing in WSN. The best cluster head (CH) that collects the data from the remaining nodes is selected using a genetic algorithm, which considers distance and energy parameters. Further, the particle swarm optimization algorithm depends on optimal routing paths that are chosen for all relay nodes to send data to the Base Station (BS). The proposed procedure shows that the relay node supports and facilitates communication among the sink and CH, which enhances energy efficiency. Finally, the quality of service (QoS) of the WSNs is improved, due to which the system would survive longer. The results of simulated experiments show that the proposed approach significantly increases the lifetime of WSN and that energy consumption is reduced when compared with the existing protocols.
A case report of splenic injury related to colonoscopy: Fortunately treated with conservative treatment
Authors: Moriwake Kazuya , Isozaki Hiroshi , Takama Takehiro , Murakami Shigeki , Matsumoto Sasau 
Published: September 2023

AbstractColonoscopy is a common procedure for screening of colon cancer. Although complications are rare, recently there have been reports of splenic injury associated with colonoscopy. Its causes are not clear. Herein, we report an 84‐year‐old man who underwent a colonoscopy for an annual routine examination. The colonoscopy was performed with moderate difficulty due to loop formation and took about 50 min. After the examination, he developed syncope, sweating, and abdominal distention with low blood pressure. Plain computed tomography revealed ascites, and the patient was hospitalized with close monitoring. The following day, his hemoglobin level was decreased by about 3.0 g/dL. Contrast‐enhanced computed tomography revealed the splenic injury. The patient was hemodynamically stable and was treated conservatively. Splenic injury is an uncommon complication of colonoscopy; however, it may cause hemodynamic instability. Physicians performing colonoscopies should be aware of this potential complication.
The effects of early rearing experiences on mutual eye gaze among captive olive baboons (Papio anubis)
Authors: Achorn Angela M. , Mulholland Michele M. , Hopkins William D. 
Published: September 2023

AbstractAmong human and nonhuman primates, mutual eye gaze (MEG) and gaze following are believed to be important for social cognition and communicative signaling. The goals of this study were to examine how early rearing experiences contribute to individual variation in MEG and to examine the potential role of genetic factors underlying this variation. Subjects included 93 female and 23 male baboons (Papio anubis) ranging from 3 to 20 years of age. Within the sample, there were 55 mother‐reared (MR) and 61 nursery‐reared (NR) baboons. MEG was assessed in four 60‐s test sessions. For each session, the duration, frequency, and bout length were recorded. Mean values were then calculated for each individual from the four sessions. A multivariate analysis of covariance revealed an overall significant main effect for rearing. Subsequent univariate analyses revealed significant rearing effects on mean bout length, but not mean duration or mean frequency, with MR baboons having longer bout lengths compared to NR baboons. Furthermore, mean bout length was found to be significantly heritable. These results indicate that rearing experiences, and to a small extent, genetic factors, affect patterns of mutual eye gaze ‐ in particular, bout length. These results differ from previous findings in MR and NR chimpanzees, further suggesting that rearing may impact MEG in a species‐specific manner that reflects the function of gaze in different primate species.
The dynamics of crude oil future prices on China's energy markets: Quantile‐on‐quantile and casualty‐in‐quantiles approaches
Authors: Meng Juan , Mo Bin , Nie He 
Published: September 2023

AbstractThis study employs the quantile‐on‐quantile method, casualty‐in‐quantiles method, and rolling window regression to investigate the impact of international crude oil future prices on the stock prices of both traditional and new energy sectors in China. The empirical results reveal that the effect of oil future prices on the energy stock market in China varies across quantiles and is easily affected by extreme events. Specifically, the impact of oil future prices on the new energy stock market is significant and volatile, while it is less volatile and displays a negative correlation with the traditional energy market. Furthermore, a concentrated positive correlation is observed in the middle and low quantile stages of the energy stock market. A significant Granger causality exists between oil future prices and the energy stock market in different quantiles. Those findings can provide useful guidance for policymakers, investors, and consumers.
A global dataset of sandstone detrital composition by Gazzi‐Dickinson method
Authors: Dong Xiaolong , Hu Xiumian , Lai Wen , Xue Weiwei , Zhang Shijie , Zhang Yiqiu , An Wei , Fan Haiming , Chen Sijin , Li Cui , Wang Xingyun , Wu Yue , Chen Jinlv , Zhang Yajun , Yu Kun 
Published: September 2023

AbstractDetrital composition of sandstone is the most important data for siliciclastic studies including sandstone classification, provenance analysis, oil and gas exploration. A large amount of detrital composition data has accumulated over the past decades, however, they are scattered in publications without unified standards. Here we constructed a global dataset of detrital components of sandstones from 646 peer‐reviewed publications using Gazzi‐Dickinson method. A total of 19,861 samples from Precambrian to Quaternary are involved in this dataset. For each sample, we present details on reference information, geographic information, geological background, depositional age and the original data. It is a high‐quality dataset for the information on each sandstone sample from different studies which was standardized. The dataset can be used widely, such as for stratigraphic comparison, provenance analysis, exploring the general laws of the source‐to‐sink process and geological engineering.
Bilateral nodule radiofrequency ablation in a single setting: First reported case series
Authors: Issa Peter P. , Magazine Brandon M. , LaForteza Alexandra , Shama Mohamed , Kandil Emad 
Published: September 2023

AbstractBackgroundRadiofrequency ablation (RFA) is a minimally‐invasive ablative technique with an impressive safety profile used to manage thyroid nodules. Current reports with RFA describe the treatment of a single nodule in a single‐setting. We describe the first series of bilateral nodule RFA in a single‐setting.MethodsRFA was performed on patients with bilateral thyroid nodules in a single‐setting. A cohort of randomly selected patients undergoing RFA for bilateral thyroid nodules in a separate setting was reported as a control cohort.ResultsA total of 12 patients were included in our series, included 6 patients in the single‐setting ablation cohort. For patients with bilateral nodules treated by RFA in a separate setting, the mean volume reduction rate (VRR) at 6 months of 63.79% ± 18.86%. There were no reports of complications in the separate setting cohort. For patients with bilateral nodules treated by RFA in a single‐setting, the mean VRR at 6 months was 64.% ± 18.97%. There were no reports of complications in the single‐setting cohort.ConclusionsOur work describes a novel use of RFA, providing preliminary insight into its use for appropriately selected patients with bilateral thyroid nodules. Future studies with larger sample sizes are warranted to corroborate and expand on our findings.
Minimum standard assessment of informed consent for internal medicine transition to residency program: A cohort study
Authors: Marwaha Mannat , Bhalla Raman , Rao Shivani , Chen Catherine 
Published: September 2023

AbstractBackground and AimsInterns must be proficient in obtaining informed consent (IC), which is the Association of American Medical College's 11th of 13 Entrustable Professional Activities (EPAs). Medical students have limited opportunity to practice IC during clerkships, resulting in inconsistent proficiency. We aimed to create a tool to assess whether our transition to residency (TTR) workshop enables fourth‐year medical students to meet a minimum standard of obtaining IC.MethodsSixty fourth‐year medical students were enrolled in the internal medicine virtual TTR course during AY2021. The curriculum prioritizes deliberate practice activities. Pre‐ and postworkshop assignments involved students typing verbatim what they would say during IC encounters. We modified an IC abstraction tool created by Spatz et al. to assess a minimum standard for students' IC assignments. Our final 7‐item tool consisted of the following domains: “What,” “Why,” “How,” “Benefits,” “Quantitative Risks,” “Qualitative Risks,” and “Alternatives,” weighing 1 point each. A minimum standard was obtained with a score of 6 or more points by appropriately discussing at least one domain involving risk and all other domains.ResultsStudents scored highly on the prework domains pertaining to “What,” “Why,” and “How” of the procedure with no significant difference on postwork. Significant improvement was achieved on postwork domains covering “Benefits” (p = 0.039) and “Alternatives” (p = 0.031). For domains involving “Qualitative” and “Quantitative Risks,” there were no statistically significant improvements from pre‐ to postwork scores. Fifteen and 22 students met the minimum standard for IC on pre‐ and postwork, respectively.ConclusionOur students demonstrated a good a priori understanding of the “What,” “Why,” and “How” domains. After the workshop, they more reliably discussed “Benefits” and “Alternatives.” Our abstraction tool helped assess the strengths and weaknesses in our students' IC skillset and helped recognize areas of our curriculum that will benefit from improvements to bring students to meet the minimum standard.
Non‐spinal low back pain: Global epidemiology, trends, and risk factors
Authors: Shokri Pourya , Zahmatyar Mahdi , Falah Tafti Mahdi , Fathy Mobin , Rezaei Tolzali Mohammadmahdi , Ghaffari Jolfayi Amir , Nejadghaderi Seyed Aria , Sullman Mark J. M. , Kolahi Ali‐Asghar , Safiri Saeid 
Published: September 2023

AbstractBackground and AimsLow back pain (LBP) is one of the most debilitating and prevalent disorders. The prevalence of LBP ranges from 30% to 80%, depending on the population, and increases with age. Causes of LBP are typically classified as spinal and non‐spinal. The main goal of this study was to investigate the non‐spinal causes of LBP, since neglecting these factors leads to increases in the financial, psychological, and physical burden of LBP on individuals as well as on society.MethodsThe data were extracted after searching the PubMed database and Google Scholar search engine up to October 27, 2021. We included all studies that were conducted on a human population and assessed the effects of epidemiological, biological, psychological, and sociodemographic factors on the incidence or progression of LBP.ResultsThe most common causes of non‐spinal LBP were diseases such as nephrolithiasis, endometriosis, tumors, fibromyalgia, and conditions like psychological disorders and pregnancy. Nevertheless, the perceived intensity of the pain can be affected by factors such as socioeconomic level, genetics, age, habits, diet, and psychological status.ConclusionThe epidemiology, etiologies, and risk factors associated with LBP should be more clearly recognized to better prevent, diagnose, and treat the underlying disease and to reduce the burden of LBP.
Evaluation of acceptance, attitude, and knowledge towards artificial intelligence and its application from the point of view of physicians and nurses: A provincial survey study in Iran: A cross‐sectional descriptive‐analytical study
Authors: Hamedani Zeinab , Moradi Mohsen , Kalroozi Fatemeh , Manafi Anari Ali , Jalalifar Erfan , Ansari Arina , Aski Behzad H. , Nezamzadeh Maryam , Karim Bardia 
Published: September 2023

AbstractBackground and AimsThe prospect of using artificial intelligence (AI) in healthcare is bright and promising, and its use can have a significant impact on cost reduction and decrease the possibility of error and negligence among healthcare workers. This study aims to investigate the level of knowledge, attitude, and acceptance among Iranian physicians and nurses.MethodsThis cross‐sectional descriptive‐analytical study was conducted in eight public university hospitals located in Tehran on 400 physicians and nurses. To conduct the study, convenient sampling was used with the help of researcher‐made questionnaires. Statistical analysis was done by SPSS 21 The mean and standard deviation and Chi‐square and Fisher's exact tests were used.ResultsIn this study, the level of knowledge among the research subjects was average (14.66 ± 4.53), the level of their attitude toward AI was relatively favorable (47.81 ± 6.74), and their level of acceptance of AI was average (103.19 ± 13.70). Moreover, from the participant's perspective, AI in medicine is most widely used in increasing the accuracy of diagnostic tests (86.5%), identifying drug interactions (82.75%), and helping to analyze medical tests and imaging (80%). There was a statistically significant relationship between the variable of acceptance of AI and the participant's level of education (p = 0.028), participation in an AI training course (p = 0.022), and the hospital department where they worked (p < 0.001).ConclusionIn this study, both the knowledge and the acceptance of the participants towards AI were proved to be at an average level and the attitude towards AI was relatively favorable, which is in contrast with the very rapid and inevitable expansion of AI. Although our participants were aware of the growing use of AI in medicine, they had a cautious attitude toward this.
The WHO has declared the end of pandemic phase of COVID‐19: Way to come back in the normal life
Authors: Sarker Rapty , Roknuzzaman A. S. M. , Nazmunnahar  , Shahriar Mohammad , Hossain Md. Jamal , Islam Md. Rabiul 
Published: September 2023

AbstractThe coronavirus disease 2019 (COVID‐19) pandemic has resulted in significant global mortality and morbidity affecting millions of lives. As healthcare authorities worldwide are still paying substantial attention to COVID‐19, other diseases continue to cause more deaths than COVID‐19. The decreasing number of COVID‐19 cases and deaths indicates that the pandemic is close to the end. For effective pandemic management, healthcare facilities worldwide have established COVID‐19 units and testing facilities, instituting infection prevention and control measures, and employing telehealth services. Healthcare professionals have identified some promising treatments for COVID‐19; also, mass vaccinations have improved patient outcomes. Instead of COVID‐19 as a pandemic, it is time to pay more attention to other diseases to lessen their impact on public health. Therefore, the World Health Organization (WHO) has declared the end of the pandemic phase of COVID‐19 considering the current COVID‐19 situation and our preparedness, past pandemic experience, and long pandemic impact on social and economic life on May 5, 2023. In this article, we briefly discussed the present challenges due to COVID‐19, necessary precautions, and future directions to return to life as before COVID‐19.
An efficient stacked bidirectionalGRU‐LSTMnetwork for intracranial hemorrhage detection
Authors: Kothala Lakshmi Prasanna , Guntur Sitaramanjaneya Reddy 
Published: September 2023

AbstractIntracranial hemorrhage (ICH) is a dangerous condition that needs prompt diagnosis and treatment. Computed tomography (CT) images are employed in examination of individuals with ICH, which produces better results and cost‐effective than MRI. The existing convolutional neural network (CNN) models are unable to consider inter‐pixel dependency, which leads to false predictions while considering the input CT Images. In this study, we implemented an efficient model of a stack of bidirectional gated recurrent unit (Bi‐GRU) with a bidirectional long short‐term memory (Bi‐LSTM) based CNN to improve detection accuracy in the case of 2D slices. The proposed model holds slice‐wise information by accessing the properties of both Bi‐LSTM and Bi‐GRU modules in a single unit. As a result, the model attained a testing and training accuracy of 96.2% and 93.4%, respectively, with a test loss score of 0.126. In addition, the proposed model could outperform the state‐of‐the‐art CNN in identifying brain hemorrhages.
Monitoring angiogenesis in skin autografts using photoacoustic microscopy
Authors: Zhang Dong , Liu Changjiang , Yuan Ying , Yu Yifeng , Qi Baiwen , Yu Aixi 
Published: September 2023

AbstractBackgroundSkin autografts have been broadly used to manage the skin and soft tissue defects. It is important for surgeons to assess the vitality of skin autografts via observing the angiogenesis. However, there is lack of reliable approach for giving the quantitative angiogenesis information on the skin autografts. Recently, photoacoustic microscopy imaging has attracted much attention based on its good performance in angiography.MethodsIn this study, we aim to monitor angiogenesis in skin autografts via PAM, and further verify its clinical potential for the early prediction of skin autografts clinical outcome.Results and ConclusionsThe results indicate that PAM is a feasible, precise, high‐resolution, noninvasive technique for the early prediction of necrosis of skin autografts via monitoring the angiogenesis, providing a promising tool for surgeons to use this surgical technology.
Total and orbital density‐based analyses of molecules revealing long‐range interaction regions
Authors: Hasebe Masatoshi , Tsutsumi Takuro , Taketsugu Tetsuya , Tsuneda Takao 
Published: September 2023

AbstractTotal and orbital electron densities of molecules are explored for the effect of the long‐range correction (LC) for density functional theory (DFT) exchange functionals by comparing to the effect of the ab initio coupled cluster singles and doubles (CCSD) method. Calculating the LC effect on the total electron densities shows that the LC stabilizes the electrons around the long‐range interaction regions of kinetic energy density, which are assumed to be electrons other than free electrons and self‐interacting electrons, while the CCSD method stabilizes the electrons in the long‐range interaction regions in the vertical molecular planes. As a more precise test, the LC effect on orbital densities are compared to the CCSD effect on Dyson orbital densities. Surprisingly, these effects are similar for the unoccupied orbitals, indicating that the LC covers the effects required to reproduce the CCSD Dyson unoccupied orbitals. For exploring the discrepancies between these effects on the occupied orbitals, the photoionization cross sections are calculated as a direct test for the shapes of the HOMOs to investigate the differences between these effects on the occupied orbitals. Consequently, the LC clearly produces the canonical HOMOs close to the CCSD Dyson and experimental ones, except for the HOMO of benzene molecule that mixes with the HOMO1 for the CCSD Dyson orbitals. This indicates that the orbital analyses using the photoionization cross sections are available as a direct test for the quality of DFT functionals.
Encouraging engineering design teams to engage in expert iterative practices with tools to support coaching in problem‐based learning
Authors: Rees Lewis Daniel G. , Carlson Spencer E. , Riesbeck Christopher K. , Gerber Elizabeth M. , Easterday Matthew W. 
Published: September 2023

AbstractBackgroundTo create design solutions experienced engineering designers engage in expert iterative practice. Researchers find that students struggle to learn this critical engineering design practice, particularly when tackling real‐world engineering design problems.Purpose/HypothesisTo improve our ability to teach iteration, this study contributes (i) a new teaching approach to improve student teams' expert iterative practices, and (ii) provides support to existing frameworks—chiefly the Design Risk Framework—that predict the key metacognitive processes we should support to help students to engage in expert iterative practices in real‐world engineering design.Design/MethodIn a 3‐year design‐based research study, we developed a novel approach to teaching students to take on real‐world engineering design projects with real clients, users, and contexts to engage in expert iterative practices.ResultsStudy 1 confirms that student teams struggle to engage in expert iterative practices, even when supported by problem‐based learning (PBL) coaching. Study 2 tests our novel approach, Planning‐to‐Iterate, which uses (i) templates, (ii) guiding questions to help students to define problem and solution elements, and (iii) risk checklists to help student teams to identify risks. We found that student teams using Planning‐to‐Iterate engaged in more expert iterative practices while receiving less PBL coaching.ConclusionsThis work empirically tests a design argument—a theory for a novel teaching approach—that augments PBL coaching and helps students to identify risks and engage in expert iterative practices in engineering design projects.
Improvements in SINTEX‐F2 seasonal prediction by implementing an atmospheric nudging scheme
Authors: Baba Yuya 
Published: September 2023

AbstractImprovements in the seasonal prediction system Scale Interaction Experiment‐Frontier version 2 (SINTEX‐F2) achieved via atmospheric initialisation were evaluated using hindcast experiments. The atmospheric initialisation in the system was implemented using an atmospheric nudging scheme. The prediction skill of SINTEX‐F2 with and without initialisation (new and original systems) for nine climate indices that represent the interannual variability were evaluated against the observational data. It was found that the prediction skill for some climate indices in the Tropics and most of the climate indices in the midlatitude including subtropics was improved by the atmospheric initialisation. The skills for El Niño–Southern Oscillation (ENSO) and ENSO Modoki, however, remained comparable with the original system. Further investigation for the prediction skill revealed that the sea level pressure (SLP) in the midlatitude was predicted better by the new system than in the original system. The 2‐m temperature was better predicted by the new system, due to the improved SLP prediction. The precipitation prediction was improved in regions where the improved interannual variability had an influence on the variability of precipitation. The difference in air–sea coupling regimes was found to be effective for improving the prediction skill in different latitudes. The atmospheric nudging enhances correct atmospheric feedback on the ocean in midlatitude leading to better subsurface ocean properties; thus, it can improve the prediction skill there. However, by neglecting the ocean side feedback, it deteriorates the prediction skill in Tropics where the sea surface temperature (SST) feedback on the atmosphere is dominant. The finding for the prediction skill is general and can be used for other prediction systems to increase their prediction skill using an atmospheric nudging scheme.