bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimized feature selection approaches for accident classification to enhance road safety
Authors: Sobhana Mummaneni , Venkatesh Mendu Gnana Siva Sai , Vemulapalli Nihitha , Kumar Chintakayala Kushal 
Published: July 2024

In the modern era, the issue of road accidents has become an increasingly critical global concern, requiring urgent attention and innovative solutions. This investigation has compiled an extensive dataset of 10,356 accident occurrences that occurred between the years 2018 and 2022 in Ernakulam district. By utilizing advanced feature selection methodologies, such as genetic algorithm and coyote optimization, this research has identified pivotal accident determinants. The study harnesses the potential of deep learning techniques, encompassing recurrent neural network (RNN), gated recurrent unit (GRU), long short-term memory (LSTM), and multilayer perceptron (MLP) for classifying accidents according to severity (categorized as fatal, grievous, and severe). Eight predictive models are trained using the dataset, and the top two are ensembled. Integrating deep learning and optimization strategies, this research aims to create a robust accident classification system. The system will help in developing proactive policies that can reduce the frequency and severity of accidents in Ernakulam district. <div style="position: absolute; display: none; z-index: 16777271;"> </div>
An improved convolutional recurrent neural network for stock price forecasting
Authors: Pham Hoang Vuong , Lam Hung Phu , Duy Le Nhat , Pham The Bao , Trinh Tan Dat 
Published: July 2024

<p>Stock price forecasting is a challenging area of research, particularly due to the complexity and unpredictability of financial markets. The accuracy of prediction models is influenced by various factors, including nonlinearity, seasonality, and economic shocks. Deep learning has demonstrated better forecasts of stock prices than traditional approaches. This study, therefore, proposed a new approach to improve forecasting system based on an end-to-end convolutional recurrent neural network (CRNN) with attention mechanism. Our approach first investigates local stock price features using 1D convolutional neural network, and then employs a bidirectional long short-term memory (Bi-LSTM) network for forecasting. This model stands out by effectively utilizing contextual data and representing the temporal character of data. The Bi-LSTM is helpful for understanding the history and future contextual information since it uncovers both past and future contexts of stock data. Furthermore, integrating attention mechanism within the CRNN represents a significant improvement. This allows our model to handle long input sequences more effectively and capture the inherent stochasticity in stock prices, which is often missed by traditional models. The effectiveness of our approach is investigated using data on 10 stock indexes from Yahoo Finance. The results show that our method outperforms ARIMA, LSTM, and conventional methods.</p><p> </p>
Arthroscopic Biceps Tenodesis With Interference Screw Fixation: A Technique Video
Authors: Forsythe Brian , Gamsarian Vahram , Patel Harsh H. , Berlinberg Elyse , Warrier Alec , Goheer Haseeb , Mirle Vikranth , Sivasundaram Lashmanan , Brusalis Christopher M. 
Published: July 2024

Background: Management of long head of the biceps tendon (LHBT) pathology is accomplished through a biceps tenotomy or tenodesis. While both modalities provide beneficial outcomes, a biceps tenodesis may confer improved cosmesis, functional outcomes, and decreased muscle cramping postoperatively. Many procedural considerations are undertaken prior to a tenodesis, such as the surgical approach and fixation device. While similar clinical outcomes are achieved between an open subpectoral and arthroscopic suprapectoral biceps tenodesis (ASPBT) with interference screw (IS) fixation, the latter technique offers a minimally invasive modality. Indications: The primary indications for an ASPBT include superior labrum anterior posterior (SLAP) tears, LHBT tears, biceps instability, bicipital tunnel disease, biceps pulley lesions, and biceps tenosynovitis. Contraindications to the arthroscopic approach include a distal lesion of the biceps tendon below the pectoralis major tendon (PMT). The IS may be used to create a biomechanically stiffer construct. Technique Description: With the arthroscope in the lateral portal, the distal aspect of the bicipital groove proximal to the superior border of the PMT is identified and opened. The LHBT is subsequently mobilized and released. An anterosuperolateral portal is localized with a spinal needle positioned perpendicular to the bicipital tunnel, 1.5 cm proximal to the superior border of the PMT. The biceps is then removed ex vivo and whip-stitches are sewn beginning 1 cm proximal to the myotendinous junction of the LHBT. After firmly associating the LHBT with the tip of the IS, a guidewire is placed 1.5 cm superior to the superior border of the PMT, perpendicular to the humerus, and a reamer is used to prepare a 6-, 7-, or 8-mm diameter socket. The tendon is inserted through the accessory portal into the tunnel, followed by screw fixation. Suture tails are tied with 5 alternating half hitches, each secured via an arthroscopic knot pusher. Results: ASPBT with IS fixation provides significant pain relief, improves range of motion (ROM), and enhances quality of life. Discussion: ASPBT with IS fixation provides significant improvements in patient-reported and functional outcomes and thus can be an acceptable treatment for LHBT pathology. Patient Consent Disclosure Statement: The author(s) attests that consent has been obtained from any patient(s) appearing in this publication. If the individual may be identifiable, the author(s) has included a statement of release or other written form of approval from the patient(s) with this submission for publication.
Left atrial stiffness index – an early marker of left ventricular diastolic dysfunction in patients with coronary heart disease
Authors: Tu Yingxuan , Liu Xin , Li Xiaoqing , Xue Na 
Published: July 2024

Abstract
Aims
To evaluate the correlation between left atrial stiffness index (LASI) and left ventricular diastolic function in patients with coronary heart disease (CHD) by Autostrain LA technique.

Methods
This was a retrospective analysis that included a total of 82 CHD patients who had suitable image quality for left atrial strain measurement. According to the 2016 ASE/EACVI guidelines for the echocardiographic assessment of diastolic dysfunction, the patients were divided into three groups: normal left ventricular diastolic function group (n = 26), indeterminate left ventricular diastolic function (n = 36), and left ventricular diastolic dysfunction (LVDD) (n = 20). The left atrial conduit strain (LAScd), Left atrial contractile strain (LASct), left atrial reservoir strain (LASr) and its derived parameters, including LASI and left atrial filling index (LAFI), were compared among the three groups. Furthermore, we conduct a correlation analysis between LASI and left ventricular diastolic function in patients with CHD.

Results
LASr and LAScd in normal group were higher than those in indeterminate group, LASr and LAScd in indeterminate group were higher than those in LVDD group, LASI in normal group was lower than that in indeterminate group, and LASI in indeterminate group was lower than that in LVDD group (P < 0.001). LASct in both normal and indeterminate groups was higher than that in LVDD group (P < 0.05). The LAFI of normal group was lower than that of indeterminate group and LVDD group (P < 0.001). LASI was positively correlated with E/e’(r = 0.822) (P < 0.001). LASr and E/e’ were negatively correlated (r = -0.637) (P < 0.001).

Conclusion
LASI is closely related to the changes of left ventricular diastolic function in CHD patients.
Impact of SARS-CoV-2 infection on the cognitive functioning of patients institutionalized in nursing homes
Authors: Trevissón-Redondo Bibiana , Pérez-Boal Eduardo , Liébana-Presa Cristina , Martínez-Fernández María Cristina , Losa-Iglesias Marta Elena , Becerro-de-Bengoa-Vallejo Ricardo , Martínez-Jiménez Eva María 
Published: July 2024

Abstract
Background
COVID-19 disease affected the cognitive level of institutionalized patients in nursing homes, especially in the older subjects regardless of gender. This study aims to assess cognitive impairment using the Mini-Mental State Examination (MMSE) before and after COVID-19 infection, and to determine whether these changes varied based on gender.

Methods
A pre- and post-COVID-19 study was conducted, involving 68 geriatric patients (34 men and 34 women) from two nursing homes. Cognitive impairment was assessed using the MMSE.

Results
COVID-19 infection had a notable impact on the cognitive health of older adults residing in nursing homes, primarily attributed to the social isolation they experienced. This effect was more pronounced in older individuals. A comparison of the MMSE results by gender before and after contracting COVID-19 revealed significant differences in attention and calculation, with women obtaining the worst score before the virus. However, following their recovery from the virus, men demonstrated significantly lower scores in time and space orientation and evocation.

Conclusion
COVID-19 has led to a decline in cognitive functioning, significantly worsening the mental state of older individuals, even after recovery from the virus. Consequently, it is crucial to implement proactive measures to prevent isolation and safeguard the cognitive well-being of this vulnerable population.
Epidemiological and microbial trends of infective endocarditis in western Norway: a 7-year prospective observational study
Authors: Jordal Stina , Kommedal Øyvind , Haaverstad Rune , Saeed Sahrai , Davidsen Einar Skulstad , Salminen Pirjo-Riitta , Hufthammer Karl Ove , Kittang Bård Reiakvam 
Published: July 2024

Abstract
Background
In this prospective, observational study, we aimed to investigate epidemiologic and microbial trends of infective endocarditis in western Norway.

Methods
Clinical and microbiological characteristics of 497 cases of infective endocarditis from 2016 through 2022 were investigated. Categorical data were analysed using Chi-squared tests. Survival data were analysed using multiple Cox regression and reported using hazard ratios.

Results
The mean age was 67 years, and 74% were men. The annual incidence rates varied from 10.4 to 14.1 per 100,000 inhabitants per year. Infective endocarditis on native valves was observed in 257 (52%) of the cases, whereas infective endocarditis on prosthetic valves and/or cardiac implantable electronic devices was observed in 240 (48%) of the cases: infection on surgically implanted bioprostheses was observed in 124 (25%) of the patients, infection on transcatheter aortic valve implantation was observed in 47 (10%) patients, and infection on mechanical valves was observed in 34 (7%) cases. Infection related to cardiac implantable electronic devices was observed in a total of 50 (10%) cases.
Staphylococcus aureus and viridans streptococci were the most common microbial causes, and isolated in 145 (29%) and 130 (26%) of the cases, respectively.
Enterococcal endocarditis showed a rising trend during the study period and constituted 90 (18%) of our total cases of infective endocarditis, and 67%, 47%, and 26% of the cases associated with prosthetic material, transcatheter aortic valve implantation and cardiac implantable electronic devices, respectively.
There was no significant difference in 90-day mortality rates between the native valve endocarditis group (12%) and the group with infective endocarditis on prosthetic valves or cardiac implants (14%), p = 0.522. In a model with gender, age, people who inject drugs, microbiology and type of valve affected, only advanced age was significantly associated with fatal outcome within 90 days.

Conclusions
The incidence of infective endocarditis, and particularly enterococcal endocarditis, increased during the study period. Enterococci appeared to have a particular affinity for prosthetic cardiac material. Advanced age was the only independent risk factor for death within 90 days.
A randomized controlled trial of a self-led, virtual reality-based cognitive behavioral therapy on sick role adaptation in colorectal cancer patients: study protocol
Authors: Li Xinxin , Wu Xiaodan , Chen Chao , Chao Huaxiang , Xie Jingyue , Du Qianqian , Zhang Meifen 
Published: July 2024

Abstract
Background
Significant concomitants of the sick role maladaptation in colorectal cancer (CRC) patients include inappropriate cognitions, emotional states, and overt conducts associated to disease. This protocol was developed to implement and evaluate the effects of a self-led, virtual reality-based cognitive behavioral therapy (VR-CBT) on the sick role adaptation among working-age CRC patients.

Methods
This is an assessor-blinded, randomized controlled trail that adheres to the SPIRIT 2013 Statement guidelines. A total of 60 working-age CRC patients will be recruited from the colorectal wards of a cancer center and randomly assigned to the VR-CBT group or attention control (AC) group. The VR-CBT group will receive a 7-sessions VR-CBT targeted to sick role adaptation, while the AC group will receive weekly attention at the same time the VR-CBT group receives the intervention. The sick role adaptation, anxiety and depression, illness perceptions, and quality of life will be measured at baseline, 1, 2 and 3-month after completion of the intervention. Side-effects related to VR in the VR-CBT group will be measured at the end of each session. The participants will receive invitations to participate in semi-structured interviews to explore their experiences with the intervention.

Discussion
The positive outcomes and user experience of VR-CBT will advance researches on the effectiveness of psychosocial interventions that aims to promote adaptation to the unexpected sick role on cancer populations. This protocol can be tested as an accessible and feasible alternative to traditional high-cost treatment in a randomized controlled study to improve the outcomes of younger cancer survivors.
Trial registration.
The protocol was registered on 21 June, 2023 in Chinese Clinical Trial Registry (No.: ChiCTR2300072699) at https://www.chictr.org.cn/.
Social anxiety and attentional bias to negative emotional information: the relationship and intervention
Authors: Liu Chen , Elhai Jon D. , Montag Christian , Yang Haibo 
Published: July 2024

Abstract
Background
According to the cognitive behavioral model of social anxiety, attentional bias to negative emotional information causes and maintains anxiety. The goal of attentional bias modification (ABM) is to reduce anxiety by reducing attention bias to negative emotional information.

Method
We used questionnaires and experiments to explore the improvement effect of ABM training on social anxiety in college students. In Study 1, we used dot-probe tasks to investigate the attentional bias to negative emotional information and the relationship with social anxiety severity in college students. In Study 2, college students with high social anxiety were divided into two groups: attentional bias modification training task group (ABM) and attention control condition task group (ACC). The ABM group received a continuous intervention for 10 days to observe changes in social anxiety levels and attentional bias scores in the pretest and posttest stages.

Results
The results showed that the correlation of attentional bias to negative emotional information and social anxiety severity was significant. Meanwhile, the high social anxiety participants responded more quickly to negative emotional information. After the intervention, social anxiety levels and attentional bias scores of the training group were significantly reduced.

Conclusions
The results showed that attentional bias modification training can reduce attentional bias to negative emotional information in college students with social anxiety and effectively improve their social anxiety.
Factors associated with dental clinic use by clients in Nigeria during the COVID-19 pandemic
Authors: Adeyemo Yewande Isabella , Karimi Mahsa , Oziegbe Elizabeth , Popoola Bamidele Olubukola , Alade Michael , Shamshiri Ahmad Reza , Murtomaa Heikki T. , Oni Tosin Olajide , Eigbobo Joycelyn Odegua , Onyejaka Nneka Kate , Olatosi Olubukola Olamide , Nzomiwu Chioma Love , Malami Abdulrahman Bala , Chukwumah Nneka Maureen , Soyoye Olabimpe Abigail , Khami Mohammad Reza , Foláyan Morẹ́nikẹ́ Oluwátóyìn 
Published: July 2024

Abstract
Background
Nigeria, like many other countries, faced challenges in dental care provision during the COVID-19 pandemic, necessitating limited care to emergencies only. However, the impact of restricted access to dental services on oral health remains a concern, particularly w﻿ith preventive maintenance care. This study aims to identify the factors associated with dental service utilization during the COVID-19 pandemic among patients attending dental clinics in Nigeria, and their sources of information about COVID-19.

Methods
This cross-sectional study recruited 500 participants who had visited dental clinics before and during the pandemic. Data were collected through telephone interviews and online questionnaires betw﻿een September and December 2021. Inferential analyses were conducted using ordered logistic regression models to assess the association between the independent (awareness of emergency dental treatments, knowledge of COVID-19 transmission routes in dentistry, awareness of required preparations in dental practice settings, fear of COVID-19 infection in dental settings), and dependent (utilization of dental services during the pandemic) variables after adjusting for confounding variables (age, sex, educational status, COVID-19 vaccinations status and COVID-19 status of live-in residents). The sources of COVID-19 information by dental patients was also identified. Statistical significance was established at 95% confidence level with a p value < 0.05.

Results
Many participants were males (51.2%) and had tertiary education (61.6%). Fear of COVID-19 infection in dental settings was significantly associated with lower odds of utilizing dental care services during the pandemic (Adjusted Odds Ratio: -0.06, 95% Confidence Interval: -0.08, -0.01). The main sources of COVID-19 information were mass media and social networks, with only 42% receiving information from dental professionals.

Conclusion
Fear of COVID-19 infection in dental settings significantly influenced dental service utilization during the pandemic. Strategies to address fear and improve communication channels between dental professionals and patients are essential for promoting oral health during similar crises.
MiR-155 deficiency and hypoxia results in metabolism switch in the leukemic B-cells
Authors: Golovina Elena , Heizer Tomas , Daumova Lenka , Bajecny Martin , Fontana Simona , Griggio Valentina , Jones Rebecca , Coscia Marta , Riganti Chiara , Savvulidi Vargova Karina 
Published: July 2024

AbstractHypoxia represents one of the key factors that stimulates the growth of leukemic cells in their niche. Leukemic cells in hypoxic conditions are forced to reprogram their original transcriptome, miRNome, and metabolome. How the coupling of microRNAs (miRNAs)/mRNAs helps to maintain or progress the leukemic status is still not fully described. MiRNAs regulate practically all biological processes within cells and play a crucial role in the development/progression of leukemia. In the present study, we aimed to uncover the impact of hsa-miR-155-5p (miR-155, MIR155HG) on the metabolism, proliferation, and mRNA/miRNA network of human chronic lymphocytic leukemia cells (CLL) in hypoxic conditions. As a model of CLL, we used the human MEC-1 cell line where we deleted mature miR-155 with CRISPR/Cas9. We determined that miR-155 deficiency in leukemic MEC-1 cells results in lower proliferation even in hypoxic conditions in comparison to MEC-1 control cells. Additionally, in MEC-1 miR-155 deficient cells we observed decreased number of populations of cells in S phase. The miR-155 deficiency under hypoxic conditions was accompanied by an increased apoptosis. We detected a stimulatory effect of miR-155 deficiency and hypoxia at the level of gene expression, seen in significant overexpression of EGLN1, GLUT1, GLUT3 in MEC-1 miR-155 deficient cells. MiR-155 deficiency and hypoxia resulted in increase of glucose and lactate uptake. Pyruvate, ETC and ATP were reduced. To conclude, miR-155 deficiency and hypoxia affects glucose and lactate metabolism by stimulating the expression of glucose transporters as GLUT1, GLUT3, and EGLN1 [Hypoxia-inducible factor prolyl hydroxylase 2 (HIF-PH2)] genes in the MEC-1 cells.
HER3 receptor and its role in the therapeutic management of metastatic breast cancer
Authors: Zhu Meiying , Yu Minghui , Meng Yuan , Yang Jie , Wang Xuerui , LI Longhui , Liang Yangyueying , Kong Fanming 
Published: July 2024

AbstractMetastatic breast cancer (mBC) poses a significant threat to women's health and is a major cause of malignant neoplasms in women. Human epidermal growth factor receptor (HER)3, an integral member of the ErbB/HER receptor tyrosine kinase family, is a crucial activator of the phosphoinositide-3 kinase/protein kinase B signaling pathway. HER3 overexpression significantly contributes to the development of resistance to drugs targeting other HER receptors, such as HER2 and epidermal growth factor receptors, and plays a crucial role in the onset and progression of mBC. Recently, numerous HER3-targeted therapeutic agents, such as monoclonal antibodies (mAbs), bispecific antibodies (bAbs), and antibody–drug conjugates (ADCs), have emerged. However, the efficacy of HER3-targeted mAbs and bAbs is limited when used individually, and their combination may result in toxic adverse effects. On the other hand, ADCs are cytotoxic to cancer cells and can bind to target cells through antibodies, which highlights their use in targeted HER3 therapy for mBC. This review provides an overview of recent advancements in HER3 research, historical initiatives, and innovative approaches in targeted HER3 therapy for metastatic breast cancer. Evaluating the advantages and disadvantages of current methods may yield valuable insights and lessons.
A rare adult case of primary uterine rhabdomyosarcoma with mixed pattern: a clinicopathological & immunohistochemical study with literature review
Authors: Kamel Nehal K.H. , Hasby Eiman Adel 
Published: July 2024

Abstract
Background
Rhabdomyosarcomas are aggressive tumors that comprise a group of morphologically similar but biologically diverse lesions. Owing to its rarity, Mixed pattern RMS (ARMS and ERMS) constitutes a diagnostic and therapeutic dilemma.

Case
Herein is presented a very rare case of mixed alveolar & embryonal rhabdomyosarcoma in the uterus of a 68-year-old woman. The wall of the uterine corpus & cervix was replaced by multiple whitish–yellow, firm nodules, measuring up to 12 cm. Microscopically, the tumor was predominantly composed of round to polygonal cells arranged in nests with alveolar pattern intermingled with hypo- & hypercellular areas of more primitive cells with scattered multinucleated giant cells seen as well. Extensive sampling failed to show epithelial elements. Immunohistochemical staining showed positive staining for vimentin, desmin, myogenin, CD56 & WT-1. However, no staining was detected for CK, LCA, CD10, ER, SMA, CD99, S100, Cyclin-D1 & Olig-2. Metastatic deposits were found in the peritoneum. The patient received postoperative chemotherapy and radiotherapy but died of systemic metastases 3 months after surgery.

Conclusion
The rarity of this histological tumor entity and its aggressive behavior and poor prognosis grab attention to improving recognition and treatment modalities in adults.