bluuebunny/crossref_metadata_2025_split huggingface dataset:
Extraction of impacted mandibular third molars in close proximity to the inferior alveolar canal with coronectomy-miniscrew traction to avoid nerve injury
Authors: Zhao Sufeng , Wang Yujia , Yang Xiaoyue , Zhou Xinyao , Wang Zezheng , Zhang Kun , Yang Xudong 
Published: December 2022

Abstract
Objectives
Extraction of impacted mandibular third molars (IMTMs) is the most common surgery in the Department of Oral and Maxillofacial Surgery. Inferior alveolar nerve (IAN) injury is a rare but severe complication, and the risk is significantly higher for IMTM near the inferior alveolar canal (IAC). The existing surgical method to extract such IMTMs is either not safe enough or is time-consuming. A better surgical design is needed.
Materials and Methods
From August 2019 to June 2022, 23 patients received treatment by Dr Zhao at Nanjing Stomatological Hospital, Medical School of Nanjing University, to extract their IMTMs and were diagnosed with IMTMs connecting the IAC. Due to high IAN injury risk, these patients undertook coronectomy-miniscrew traction to extract their IMTMs.
Results
The time between the two surgeries (time of miniscrew traction) was 32.65 ± 2.110 days, which was significantly lower than that of traditional orthodontic traction. No IAJ injury was observed with two-point discrimination testing or reported by patients during follow-up. Other complications such as severe swelling, severe bleeding, dry socket, and limited mouth opening were not observed. Postoperative pain was not significantly higher in the coronectomy-miniscrew traction group than in the traditional IMTM extraction group.
Clinical Relevance:
For IMTMs connecting the IAC that must be extracted, coronectomy-miniscrew traction is a novel approach to minimize IAN injury risks in a less time-consuming way with a lower possibility of complications.
A novel model for runoff prediction based on the ICEEMDAN-NGO-LSTM coupling
Authors: Yang Chen , Jiang Yatao , Liu Ying , Liu Songlin , Liu Fuping 
Published: December 2022

Abstract
The prediction of runoff trends has always been an essential topic in the field of hydrological forecasting, accurate and reliable prediction models are of great significance to the rational use of water resources. Considering the relatively-low accuracy and poor solving ability of present models for runoff prediction, a new coupled model based on the Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (ICEEMDAN) and Northern Goshawk Optimization (NGO) with Long Short-Term Memory (LSTM) model is proposed in the paper, for runoff prediction. The present model is applied to predict the monthly runoff in the middle reaches of the Huaihe River. The results show that the ICEEMDAN-NGO-LSTM model not only increases the fit by 3.09%, but also reduces the average relative error, average absolute value error, and root mean square error by 54.43, 73.11%, and 53.95%, respectively, compared with the traditional LSTM under the same data conditions. In addition, the fit of the ICEEMDAN-NGO-LSTM model was improved by 0.69% and 0.56% compared with the LSTM models optimized based on Whale Optimization Algorithm (WOA) and Imperialist Competitive Algorithm (ICA), respectively, and the average relative error, average absolute value error, and root mean square error were also significantly lower. This indicates that the coupled ICEEMDAN-NGO-LSTM model has better prediction performance, and the prediction results provide a new method for short-term runoff forecasting.
A review and comparative study of cancer detection using machine learning: SBERT and SimCSE application
Authors: Mokoatle Mpho , Marivate Vukosi , Mapiye Darlington , Bornman Riana , Hayes Vanessa. M 
Published: December 2022

Abstract
Background
Pretrained convolutional neural networks and traditional machine learning algorithms have extensively been considered for the detection of various cancers using image data and clinical data as the input source. Initially, a series of preprocessing steps and image segmentation steps are performed to extract region of interest (ROI) features from noisy features. Then, the extracted features are applied to several machine learning and deep learning methods for the detection of cancer.
Method
In this work, a review of all the methods that have been applied to develop machine learning algorithms that detect cancer is provided. This study solely focuses on work that investigates four cancer types (lung, breast, prostate, and colorectal cancer) that have been published in the last five years (2018-2022). Then, a colorectal cancer detection framework is proposed using colorectal cancer DNA sequences as the only input source. For data representation, recent state-of-the-art sentence transformers namely: Sentence-BERT (2019) and the unsupervised SimCSE (2021) are applied. The novelty of this approach is that, the two sentence transformers have not been used to represent DNA sequences of matched tumor/normal pairs for cancer detection using machine learning. For classification, the learned DNA representations were then provided as input to traditional machine learning algorithms.
Result
Using SBERT sentence embeddings, the XGBoost model achieved the best overall, achieving the highest accuracy of 73 ± 0.13 % on the development set, and 73.3 ± 0.20 % on an independent test set. With regard to the SimCSE embeddings, the Random forest model achieved the best overall on the development set with an accuracy of 71.6 ± 1.47 %. And on the test set, the XGBoost model achieved the highest accuracy of 75 ± 0.12 %. In summary of these findings, no significant improvement was observed in the performance of the machine learning models when using sentence representations from either SBERT or SimCSE transformer model. cancer detection, machine learning, SentenceBert, SimCSE
Effect of Health Education about Care of Stroke Patients on the Burden of Care Providers and their Quality of Life
Authors: Aziz Eman , Mliegy Om Ibrahim El , Esmail Amany , Mohammed Amany 
Published: December 2022

AbstractBackground:It is estimated that the burden of care for stroke patients' care providers is increasing in the world due to the lack of support from the organizations and associations. This studyaimed toevaluate the effect of health education about care of stroke patients on the burden of care providers and their quality of life.Setting:Neurology Department for nursing staff and stroke out patients' clinic for family care providers at Tanta University Hospitals.Design:A quasi-experimental.Subject:Allnurses 50 from Neurology Department and convenience sample 70 of family care providers.Tools:6 tools were used:Tool (I)Nursing Interview Questionnaire.Tool (II)Expanded Nursing Stress Scale.Tool (III)Family Care providers Interview.Tool (IV)Zarit Burden Questionnaire.Tool (V)Ways of Coping Questionnaire.Tool (VI)Quality of Life (SF-36) Questionnaire.Results:Immediately after implementation of the educational program; (62.0%) of the studied nurses had occasionally stress factors, and (72.0%) of them had increase in quality of life. As well as (67.1%) of the family care providers had mild to moderate burden and (54.3%) of them had increase in quality of life.Conclusion:Immediately after implementation of the educational program there was an enhancement in the studied nurses and family care providers’ knowledge, using of coping ways, and quality of life and reduction in the care of burden.Recommendation:Further study is recommended on large sample and in different hospitals settings in order to generalize the result.
Field inoculation with arbuscular mycorrhizal fungi having contrasting life-history strategies differently affects tomato nutrient uptake and residue decomposition dynamics
Authors: Arcidiacono Myriam , Pellegrino Elisa , Nuti Marco , Ercoli Laura 
Published: December 2022

Abstract
Purpose: In the scenario of an increased atmospheric CO2 concentration, nutrients are reduced in all vegetables. In this context, arbuscular mycorrhizal fungi (AMF) could enhance nutrient concentration in edible portions of plants, including tomato. However, field studies on tomato AMF inoculation are scarse. AMF species belonging to Gigasporaceae and Glomeraceae families known to vary in life-history strategies may determine differential effects on plant nutrient benefits and residue decomposition. Despite this, the effect of different life-history strategies on nutrient acquisition of tomato fruits has not yet been investigated.
Methods: We studied the effect of inoculation of two tomato varieties with AMF belonging to Glomeraceae and Gigasporaceae. Fungal establishment, yield, fruit nutrient concentration, litter decomposition, and bacterial and fungal abundances in soil were assessed in a two-year field trial under organic agriculture.
Results: Overall Gigasporaceae promoted the concentration of nutrients in tomato fruits compared to Glomeraceae. A variability in AM fungal colonization and fruit nutrient concentration occurred within Glomeraceae. Scutellospora pellucida increased the yield (+27%) of var. Rio Grande respect to Gigaspora gigantea. In var. Rio Grande, Funneliformis mosseae determined a litter degradation similar to controls and lower than Sclerocystis sinuosa and Gigasporaceae species, which showed the highest decomposition rates. AMF inoculation promoted soil total bacterial and fungal abundance and fungal:bacterial (F:B) ratio compared to controls, and members of Gigasporaceae had the highest F:B ratio.
Conclusion: These findings strongly support that AM fungal life-history strategy should be considered in biofertilizer development to enhance the nutritional value of vegetables under organic farming systems.
The protective role of staff wellbeing centres for wellbeing and presenteeism in healthcare workers during the COVID-19 pandemic: Secondary analysis of COVID-Well data
Authors: Blake Holly , Mancini Helen , Coyne Emma , Cooper Joanne , Stanulewicz-Buckley Natalia 
Published: December 2022

Abstract

Background Supported wellbeing centres established during the COVID-19 pandemic provided high quality rest spaces and access to peer-to-peer psychological first aid for healthcare workers (HCWs). The centres were well accessed and valued by HCWs, but their relationship with wellbeing and job-related factors is not well established. Methods Secondary analysis of data from 819 HCWs from an acute hospital trust who completed an online survey in April-July 2020, as part of the COVID-Well study. Measures included the Warwick Edinburgh Mental Wellbeing Scale, and four single-item global measures of job stressfulness, job satisfaction, presenteeism and turnover intentions. ANCOVA models and regression analyses were conducted on these data. Results HCWs with lower wellbeing were less likely to have accessed wellbeing centres (β = .12, p < .001), had higher job stressfulness (β = − .22, p < .001), lower job satisfaction (β = .39, p < .001), higher presenteeism (β = − .22, p < .001) and were of younger age (β = .09, p = .002). Centre use was associated with wellbeing irrespective of job stressfulness. The relationship between job stressfulness and wellbeing was moderated by job satisfaction. Those reporting presenteeism and who accessed the centre (M = 3.30, SE = .04) had higher wellbeing than those who accessed the centre but did not report presenteeism (M = 3.06, SE = .04) (F(1, 791) = 18.65, p < .001, ηp2 = .02). Conclusions Accessing wellbeing centres had a protective effect on wellbeing of HCWs, particularly for those reporting presenteeism. Therefore, the centres may have provided greatest respite and restoration for those present at work but not in optimal health. Younger workers were disproportionately affected in terms of wellbeing, and targeted support for this population is needed. Strategies to decrease presenteeism and maximise job satisfaction which buffers the impact of job stressfulness on wellbeing are urgently required. Healthcare organisations should provide rest spaces and psychological support to HCWs for the long-term, as part of a systems-wide approach to improving workforce health and wellbeing.
First record of the parasitoid wasp Ixodiphagus hookeri (Hymenoptera: Encyrtidae) infesting the tick Amblyomma nodosum (Acari: Ixodidae)
Authors: Vecchi Mariah O.M. , Ramos Rafael Antonio Nascimento , Bitencourth Karla , Vecchi Maurício B. , Alves Maria Alice S. 
Published: December 2022

Abstract
Ticks (Ixodida) are ecologically important ectoparasites that may impact human health and economic activities. Parasitoid wasps are the natural enemies of ticks and a potential option for its biological control. In the present study, we recorded parasitism of the nymphs of the tick Amblyomma nodosum by the parasitoid wasp Ixodiphagus hookeri. The ticks, in turn, were parasitizing White-bearded Manakins, Manacus manacus (Pipridae) in the União Biological Reserve, one of the last major remnants of lowland rainforest in Rio de Janeiro state, southeastern Brazil. During the collection of ectoparasites from two manakins in this reserve, 20–30 parasitoid wasps hatched spontaneously from two of the ticks collected. The species of the tick nymphs and adult wasps were identified using morphological traits and molecular analyses. This record is the first documented case of I. hookeri parasitizing A. nodosum, and the first time that parasitoid wasps have been found in ticks parasitizing birds in Brazil. This is also the first record of Ixodiphagus from southeastern Brazil in more than a century, with the only other record dating back to 1914. The record presented here provides valuable new information on the biology of this tick and its parasites, and new insights into this interspecific interaction. Further research on these vertebrate-tick-wasp interactions will be necessary to better understand the respective roles of the organisms involved in these processes.
Biomechanical comparison between rotational Scarf osteotomy and translational Scarf osteotomy: a finite element analysis
Authors: Li Yan , Wang Yue , Tang Kanglai , Tao Xu 
Published: December 2022

Abstract
The computerized tomography (CT) data of a hallux valgus patient were selected to establish a finite element model. The standard Scarf osteotomy was simulated based on the model, and the rotation and translation were performed, respectively. The relevant parameters of hallux valgus were compared between the two groups. We completed the cartilage, ligament and other tissues on the bone model to establish a full foot model. We analyzed the troughing, plantar aponeurosis tension, plantar soft tissue, and ground stress and also observed the stability of the broken end by a three-point bending test. The results show that: rotational osteotomy can correct larger IMA, and the contact area after osteotomy is larger. The length of the first metatarsal initially increased and then decreased. Compared with the translational group, rotational Scarf can significantly increase DMAA. Mechanical analysis showed that the cancellous bone in the contact part of the broken end in the translation group had greater stress, which was the troughing performance. Stress distribution of plantar aponeurosis, plantar soft tissue, and the ground showed no significant difference. The three-point bending test showed that the separation of the broken ends of the rotational Scarf osteotomy model was slightly smaller than the translational group. We believe that rotational Scarf osteotomy can correct larger IMA, significantly increase the broken end contact area, and effectively avoid troughing. It also had broken end separation smaller than the traditional translational Scarf osteotomy, which is conducive to postoperative stability and healing. However, rotational Scarf osteotomy also has disadvantages, which can increase DMAA accordingly. For patients with large DMAA, other surgical methods should be considered clinically.
Severe rhabdomyolysis and respiratory failure occurred after exposure to monensin- a case report and literature review
Authors: Song Lihua , Jiang Bei , Dai Tingjun , Zhao Yuying , Xiao Xiaoyan 
Published: December 2022

Abstract
Background: Cases of human monensin toxicosis are rare. Symptoms such as rhabdomyolysis and severe respiratory failure may occur after exposure to monensin.
Case presentation: A 44-year-old male worker in a pharmaceutical factory complained of generalized muscle pain, muscular weakness, and dark brown colored urine. His creatine kinase (CK) value was as high as 69881IU/L. Aspartate aminotransferase (AST) and lactate dehydrogenase (LDH) was significantly increased, suggesting a high possibility of rhabdomyolysis. During the hospitalization, the patient developed severe respiratory failure and was relieved after receiving bilevel positive airway pressure (BiPAP) ventilation and a large amount of fluids, methylprednisolone, sodium bicarbonate, and other treatments. His muscle biopsy showed that enzymatic activities of cytochrome C oxidase (COX) and succinate dehydrogenase（SDH）were partially absent. After treatment with hormones, urine alkalization, nutritional therapy of mitochondria, and fully rehydration, the patient's symptoms were relieved.
Conclusions: Early attention and intervention are needed for rhabdomyolysis and severe respiratory failure caused by monensin.
Discovery of potent inhibitors against monkeypox's major structural proteins using high throughput virtual screening, large scale molecular dynamics and DFT calculations
Authors: Lokhande Kiran Bharat , Shrivastava Ashish , Singh Ashutosh 
Published: December 2022

Abstract
While the COVID-19 pandemic is still plaguing humanity, a case of the monkeypox virus (MPXV) was reported to the WHO on May 7, 2022. An enveloped double-stranded DNA virus belongs to the genus Orth poxvirus. A viral zoonotic infection known as monkeypox has been a serious risk to public health, especially in Africa. However, it has recently spread to other continents, so it might soon become a worldwide problem. On July 21, 2022, the World Health Organization (WHO) proclaimed the human monkeypox viral infection a Public Health Emergency of International Concern (PHEIC). There is an increased risk of transmission of the virus because there is a lack of effective treatment that cures the disease. To stop the multi-country outbreak from spreading, it is important to discover effective medications urgently. The objective of the current study is to swiftly find new treatments for the monkeypox virus using advanced computational approaches. By investigating five potential MPXV targets (DNA ligase, Palmytilated EEV membrane protein, Scaffold protein D13, Thymidylate Kinase, and Viral core cysteine proteinase), this research was carried out using cutting-edge computational techniques against human monkeypox virus infection. Here we present the accurate 3D structures and their binding cavities of the selected targets with higher confidence. Molecular docking and MD simulation analysis revealed the top five potential lead compounds with higher binding affinity and stability toward selected targets. Binding free energy calculations and other essential dynamics analysis supports the finding. Key findings from this study are beneficial for medical scientists and experimental biologistsin drug development for the treatment of human MPXV.
Study on Emotion Recognition Bias in Different Regional Groups
Authors: lukac Martin , Zhambulova Gulnaz , Abdiyeva Kamila , Lewis Michael 
Published: December 2022

Abstract
Human-machine communication can be substantially enhanced by the inclusion of high-quality real-time recognition of spontaneous emotional expressions. However, successful recognition of such expressions can be negatively impacted by factors such as sudden variations of lighting, or intentional obfuscation.
In addition, the presentation and meaning of emotional expressions can vary significantly, depending on external factors such as the environment within which the emotions are expressed, and the culture of the expressor.
As an example,
an emotion recognition model trained on a regionally-specific database, collected from North America, might fail to recognize standard emotional expressions from another region, such as East Asia. To address the problem of
regional and cultural bias in emotion recognition from facial expressions, we propose a meta-model
that fuses multiple emotional cues and features.
The proposed approach integrates macro-expression, micro-expression, action level features and image features into a multi-cues emotion model (MCAM).
The results show that the proposed meta-classifier (MCAM)
reduces the bias factors and achieves successful emotion recognition in most of the evaluated scenarios.
Additionally, we also identified certain cues and features of the data-sets that preclude the design of the perfect unbiased classifier.
Orthopaedic Surgical Documentation: Pre-templated Operation Notes Significantly Improve Documentation of Surgical Procedures
Authors: Sneddon Fraser , Fritsch Nils , Mackenzie Samuel , Skipsey David , Rankin Iain 
Published: December 2022

Abstract
Objectives
The Royal College of Surgeons of England (RCS) Good Surgical Practice guidance identifies essential criteria for surgical operation note documentation. The current quality improvement project aims to identify if using pre-templated operation notes for documenting fractured neck of femur surgery results in improved documentation when compared to free hand orthopaedic operation notes.
Methods
A total of fourteen categories were identified from the RCS guidance as required across all the operations identified in this study. All operations for the month of October 2021 were identified and the operation notes analysed. Pre-templated operation notes were compared to free hand operation notes.
Results
97 cases were identified, of which 74 were free hand operation notes and 23 were pre-templated fractured neck of femur operation notes. All fourteen categories were completed in 13 (57%) of the templated operation notes vs 0 (0%) in the free hand operation notes (odds ratio 0.0052, 95% CI 0.0003 to 0.0945, p < 0.001). The median total number of completed categories was significantly higher in the templated op-note group compared to the free hand op-note group (templated median 14, range 12-14, vs. free hand median 11, range 9 to 13, p < 0.001). Logistic regression analysis of operation notes written by consultants or trainees identified trainees as more likely to document the antibiotic prophylaxis given (p = 0.025).
Conclusions
Use of pre-templated operation notes results in significantly improved documentation. Adoption of generic pre-templated operation notes to improve surgical documentation should be considered across all operations.
Characteristics of intestinal flora of ileocecal region in pediatric patients with Crohn disease
Authors: Wu Peilin , Wu Bin , Liu Junhong , Hong Linliang , Ma Bihong , Lin Biyun , Wang Junxi , Chen Suqing 
Published: December 2022

Abstract
Purpose
Intestinal microbiota was considered to be one of the main factors leading to changes in the immune response and had a significant correlation with Crohn disease (CD).This study aimed to reveal the intestinal microbiota profiles of Crohn's disease patients.
Methods
We analyzed the alterations of the gut mucosal microbiota using a 16S rRNA sequencing approach in CD patients in active stage (CD), CD patients in the remission stage (CDR) and the control group (Col).
Results
The results showed that there was a higher abundance of the genus Enterococcus, Lachnoclostridium and Prevotella in CD group than that in CDR and Col. Also, we found a lower abundance of the genus Ruminococcus gnavus group in CD and CDR patients, but higher in Col, indicating that Ruminococcus gnavus group was closely related to CD.
Conclusions
The decreased abundance of Ruminococcus gnavus may result in the reduction of mucin and subsequently lead to the degradation of the host’s ability to maintain a bacteria-free zone within the mucin layer. The increasing of Prevotella may be one of the inducing factors of Crohn's disease. Also, high level Enterococcus faecalis colonization had a significant, positive relationship with Pediatric Crohn disease activity index (PCDAI).