bluuebunny/crossref_metadata_2025_split huggingface dataset:
A rare case of aneurysmal bone cyst of the anterior clinoid process in an 18-year-old female mimicking optic neuritis
Authors: Shaifi Guive , Hajikarimloo Bardia , Mohammadi Esmaeil , Parandavaji Elham , Dilmaghani Nader Akbari , Ayoobi Niloofar , Jafari Ali 
Published: December 2023

Abstract
Background
Aneurysmal bone cyst (ABC) is an uncommon, benign, vascular multicystic bony lesion that most frequently develops in the first two decades of life. The metaphysis of long bones, pelvic, and vertebral column are the most common locations. The precise underlying pathophysiology of ABCs formation remains unclear; however, it is believed that reactive processes subsequent to trauma or vascular disturbance may play an important role. Involvement of the skull base rarely occurs with a prevalence of up to 5% of intracranial ABCs.
Case presentations:
An 18-year-old adolescent female with a history of progressive blurred vision since three months ago presented to our office. The brain and orbital MRI demonstrated no abnormal findings. After three months of glucocorticoid treatment with the diagnosis of multiple sclerosis, the visual impairment of the left eye deteriorated abruptly. The patient underwent an MRI and the imaging study demonstrated a well-defined 30 x 22 x 20 mm lesion at the anterior clinoid process with an extension to the optic canal and ethmoid sinus. The patient underwent pterional craniotomy and the tumor was resected. The histopathological examination was suggestive of ABC.
Conclusion
ABC and other conditions should be considered in young-age people with an early unilateral decline in vision and imaging studies should be obtained in early stages and during follow-ups.
Endothelial cell-specific molecule 1 promotes the epithelial-mesenchymal transition of cervical cancer via ZEB1
Authors: Qi Jie , Li Jie , Zhu Xiaoyan , Wang Pei , Wang Yazhao , Ren Yanan , Zhang Junqin , Zhao Jing , Zhao Sufen 
Published: December 2023

Abstract
Aim
This study aimed to investigate the mechanism of endothelial cell-specific molecule 1 (ESM1) promoting cervical cancer cell proliferation and epithelial-mesenchymal transition (EMT) characteristics through zinc finger E-box binding homeobox 1 (ZEB1)/EMT pathway.
Objective
The anticancer mechanism of aloe-emodin (AE) and its relationship with ESM1/ZEB1 signaling pathway were analyzed.
Method
In this study, the correlation between ESM1 expression and the prognosis of cervical cancer patients were analyzed by bioinformatics. Herein, SiHa, HeLa cell lines, and corresponding control cell lines with stable ESM1 expression were obtained. The CCK-8 assay was used to detect cell proliferation ability. In addition, the invasion and migration ability of Hela and SiHa cells were detected by Transwell assay and scratch closure assay. Meanwhile, real-time PCR was used to detect expressions of EMT-related markers E-cadherin and Vimentin. The ability of silenced ESM1 to tumor formation in vivo was detected by tumor formation in nude mice. The same method was used to analyze the effects of aloe-emodin (AE) on inhibiting ESM1 expression and its inhibitory effect on cervical cancer cells in vitro and in vivo. ESM1 was highly expressed in cervical cancer, and the high expression of ESM1 was associated with poor prognosis in cervical cancer patients.
Result
CCK-8 results showed that the proliferation, invasion, and migration of Hela and SiHa cells were reduced after siRNA interfered with ESM1 expression. Overexpression of ESM1 promoted the proliferation and migration of cervical cancer cells. Mechanism studies have shown that the oncogenic effect of ESM1 was realized through the ZEB1/PI3K/AKT pathway. High throughput drug screening found that AE can target ESM1. Inhibitory effect of AE on ESM1/ZEB1/EMT signaling pathway and cervical cancer cells.
Conclusion
The silencing of ESM1 expression may inhibit the proliferation, invasion, metastasis, and epithelial-mesenchymal transformation of cervical cancer cells by inhibiting ZEB1/PI3K/AKT. AE is a potential treatment for cervical cancer, which can play an anti-tumor role by inhibiting ESM1/ZEB1 axis.
A mixed methods study of schema modes amongst people living with disordered eating
Authors: Marney Clare , Reid Marie , Wright Bernice 
Published: December 2023

Abstract
Background
Schema therapy (ST) is a promising alternative therapy for the treatment of eating disorders (EDs). Schema modes (SMs) are a key component of ST and individuals with EDs have more maladaptive SMs and weaker healthy ones.
Methods
Aim was to explore schema modes within individuals living with disordered eating. Sixteen individuals without prior exposure to schema therapy completed the short form schema mode inventory for eating disorders questionnaire (SMI-ED-SF), then participated in semi-structured interviews discussing their high scoring modes.
Results
By thematic analysis, themes were: 1) Adverse family environments with the subthemes Trauma and the vulnerable and angry child and Unrealistic standards – Demand & Control, 2) Mode effects with the subthemes of On everyday life and On disordered eating, 3) Modes protective factors with the subthemes Emotion avoidance - Detach and Soothe and People pleasing - Compliance and Surrender and 4) Help Seeking with the subthemes Barriers to recovery, Dissatisfaction with treatment and ST as an alternative. Experiences were linked to the vulnerable child (VC) and angry child (AC) modes in their current lives and the employment of maladaptive modes to quell or block their activation and subsequent emotions.
Discussion
Participants found schema modes a positive and helpful way of way of understanding their disordered eating behaviours, despite that many reported prior negative experiences of other psychological therapy. This suggests that schema modes are a promising way of understanding and working with eating disorders.
Soft Margin Spectral Normalization for GANs
Authors: Rogachev Alexander , Ratnikov Fedor 
Published: December 2023

Abstract
In this paper, we explore the use of Generative Adversarial Networks (GANs) to speed up the simulation process while ensuring that the generated results are consistent in terms of physics metrics. Our main focus is the application of spectral normalization for GANs to generate electromagnetic calorimeter (ECAL) response data, which is a crucial component of the LHCb. We propose an approach that allows to balance between model's capacity and stability during training procedure, compare it with previously published ones and study the relationship between proposed method's hyperparameters and quality of generated objects. We show that the tuning of normalization method's hyperparameters boosts the quality of generative model.
Calibration of urban water distribution networks and investigation of different placement scenarios of pressure relief valves: A case study in Western zone of Poldokhtar-Iran
Authors: Mamizadeh Jafar , Abdullahi Seyyed Hamed , Kia Fakhreddin Moradi , Riyahi Mohammad Mehdi 
Published: December 2023

Abstract
One of the most critical problems of water distribution networks (WDNs) in Iran is the lack of water pressure in the network and the lack of satisfaction from the customers. The present research investigated hydraulic modeling, calibration, and different placement scenarios of pressure relief valves (PRV) within the Poldakhter WDN (Western zone) to solve the problems above. According to the selected objective function and the range of changes in the roughness coefficient and consumption, the optimization was conducted using the genetic algorithm (GA) inside hydraulic software. Hydraulic simulation showed that the pressure head in 18% of nodes in the network is more than 45 meters, while it is less than 15 m in 51% of the nodes. The results from the five proposed scenarios show a significant improvement regarding the WDN's performance, and pressure heads lower than 15 m can be reached in less than one percent of the network.
Deep learning approach for Amharic sentiment analysis using scraped social media data
Authors: Getachew Yeshewas 
Published: December 2023

Abstract
Deep learning has emerged as a powerful machine learning technique that learns multiple layers of representations or features of the data and produces state-of-the-art prediction results. Along with the success of deep learning in many other application domains, deep learning is also popularly used in sentiment analysis in recent years. Social media is now playing a vital role in influencing people's sentiment in favors or against a government or an organization. Therefore, to understand the sentiment of any posting in social media an efficient method is an ultimate necessity. We have analyzed some Facebook postings to understand socio-political sentiments. Among this broad scope we have done on this research applying the state of the art in sentiment analysis on Amharic language using deep learning approach in socio-political domain. The further preparation of the dataset on the other domain enhance the language so on this research try to show the data extracted from Fana broadcasting corporation official Facebook page using Graph Application interface of Facebook social media on immigration, war and public relation issues and prepare the data for further preprocessing. After collecting thus data from the FBC using post_id all preprocessing steps tokenization, stop word removal, stemming of the sentence are undertaken. The manual annotation of the sentence extracted data contain both the text file and Emoji are annotated using linguistic experts in seven class, positive, very positive, extremely positive, neutral, negative, very negative and extremely negative class by considering the effect of most common Emoji. Using the Scikit-learn feature extraction classes, Count Vectorizer and TF-IDF Vectorizer the researcher build the feature extraction method to use our custom vocabulary. We test both feature extractors and find that our model performs better with Count Victories as it offers a simple representation of our data. To evaluate the performances of the systems we have collected 11,000 reviews from immigration, war and public relation domains. Then we evaluate our system training and validation accuracy using three experiments by changing training and testing split 90%,10%:80%,20%:70%,30%, the size of the dataset, the number of epochs and network layers. Accordingly, on the first experiment register 90.1% average training accuracy and 90.1% average validation accuracy performances were obtained by the first method. The second method achieves an average training of 82.4% and an average validation accuracy of 40% performances obtained. The third experiment conducted by increasing the number of data set 1600 and five network layers we get 70.1 training accuracy and 40.1 validation accuracy. The results show that this study is promising. A preprint of this research article is previously been published in researchgate by the author [1].
Classification of substances by health hazard using deep neural networks and molecular electron densities
Authors: Singh Satnam , Zeh Gina , Freiherr Jessica , Bauer Thilo , Türkmen Işik , Grasskamp Andreas 
Published: December 2023

Abstract

In this paper we present a method that allows leveraging 3D electron density information to train a deep neural network pipeline to segment regions of high, medium and low electronegativity and classify substances as health hazardous or non-hazardous. We show that this can be used for use-cases such as cosmetics and food products. For this purpose, we first generate 3D electron density cubes using semiempirical molecular calculations for a custom European Chemical Agency (ECHA) subset consisting of substances labelled as hazardous and non-hazardous for cosmetic usage. Together with their 3-class electronegativity maps we train a modified 3D-UNet with electron density cubes to segment reactive sites in molecules and classify substances with an accuracy of 78.1%. We perform the same process on a custom food dataset (CompFood) consisting of hazardous and non-hazardous substances compiled from European Food Safety Authority (EFSA) OpenFoodTox, Food and Drug Administration (FDA) Generally Recognized as Safe (GRAS) and FooDB datasets to achieve a classification accuracy of 64.1%. Our results show that 3D electron densities and particularly masked electron densities denoting regions of high and low reactivity can be used to classify molecules for different use-cases and thus serve not only to guide safe-by-design product development but also aid in regulatory decisions.
Urban Care for Unpaid Caregivers: community' voices in the Care Block program, in Bogotá, Colombia.
Authors: Guevara-Aladino Paula , Sarmiento Olga Lucia , Rubio María Alejandra , Gómez-García Lina María , Doueiri Zakaria Nadeem , Martínez Diego , King Abby C. , Hurtado Adriana , Banchoff Ann , Guzmán Luis A. , Álvarez María José , Palencia Leonardo 
Published: December 2023

Abstract

The Care Blocks of Bogotá, Colombia, are an urban planning program that offers services for low-income unpaid caregivers and their dependents. This study aimed to i) characterize the experiences of unpaid caregivers in the areas of well-being and physical activity levels and the use of public spaces linked to the Care Block; ii) identify caregivers’ perceived built and social environment facilitators and barriers to access and use the Care Block facility; and iii) document the community-led advocacy process to further advance benefits of the Care Block program. The quantitative component included a survey and the System for Observing Play and Recreation in Communities (SOPARC) instrument. The qualitative component used the Our Voice citizen science method augmented with portable virtual reality equipment to engage participants in advocacy for community changes. Participants (N=21; photos and audio recordings=257) had a median age of 53 years (IQR = 40-63) and dedicated a median of 13.5 hours a day to unpaid caregiving. SOPARC evaluation results (108 observed participants) showed that most women (87.13%) engaged in moderate to vigorous physical activity (e.g., dancing). The caregivers highlighted education, physical activity services, and integration of facilities as facilitators to accessing the Care Block program. Poor quality and lack of sidewalks and roads, limited personal safety, and the risk of pedestrian-vehicle collisions were identified as barriers. Virtual Reality helped promote data visualization and create a compelling opportunity to spark dialogue between participants and stakeholders. This study allowed stakeholders to reflect on an urban initiative facilitating unpaid care work.
The antimicrobial peptide Merecidin Inhibit the metastasis of triple-negative breast cancer by obstructing EMT via miR-30d-5p/vimentin
Authors: song jinxuan , ma fei , he min , wang xiuqing 
Published: December 2023

Abstract
LL-37 is an important innate immune effector molecule with great potential in antitumor therapy. Merecidin retains the most active active fragment in LL-37 with antitumor biological activity and stability. This study mainly explores the inhibitory effect of antimicrobial peptide Merecidin on triple-negative breast cancer (TNBC) cells and the mechanism of inhibiting the epithelial-mesenchymal transition (EMT) by regulating miR-30d-5p/vimentin, thereby inhibiting breast cancer metastasis. The results showed that the Merecidin was able to inhibit the proliferation, migration and invasion capacity and EMT of TNBC cells (MDA-MB-231 and MDA-MB-468) in vitro. Laser confocal localization showed that Merecidin was mainly localized in the cytoplasm of TNBC cells, and the RT-qPCR results showed that miR-30d-5p was poorly expressed in TNBC cells, and Merecidin could significantly upregulate the expression of miR-30d-5p. In addition, the Dual-luciferase reporter and q-PCR results confirmed that miR-30d-5p binds to vimentin and negatively regulates vimentin. At the same time, pull down experiments showed that Merecidin can bind to vimentin in vitro. In addition, scratch experiments and Transwell experiments showed that miR-30d-5p inhibited the migration and invasion ability of TNBC cells, while vimentin promoted the migration and invasion ability of TNBC cells. Finally, down-regulation of miR-30d-5p or overexpression of vimentin could partially counteract the inhibitory effect of Merecidin on TNBC cell migration, invasion ability and EMT. In the nude mouse MDA-MB-231 subcutaneous tumor model, Merecidin significantly inhibited tumor growth and cell proliferation and upregulated the expression of miR-30d-5p in tumor tissues, inhibiting the expression of vimentin and EMT. In conclusion, Merecidin can effectively inhibit the proliferation, migration and invasion ability of TNBC cancer cells; localization in the cytoplasm; By regulating miR-30d-5p/vimentin, it can effectively hinder the EMT process, thereby effectively inhibiting the migration and invasion of TNBC cells. These findings provide new insights into the molecular function of Merecidin, suggesting its potential as a therapeutic agent for TNBC.
Seasonal dynamics of endophytic fungal diversity Grevillea robusta (Silver oak) trees
Authors: Altaye Girma , Agete Ashefet , Talebi Ebrahim 
Published: December 2023

Abstract
This study delves into the impact of seasonal variations on the diversity of endophytic fungi inhabiting the foliage of Grevillea robusta trees along highways in Hawassa City, Ethiopia. With 765 fungal isolates categorized into 73 distinct morphotaxa, 90.41% were identified across eight known genera, leaving 9.58% unidentified. Notably, Phoma and Pestalotiopsis emerged as the most diverse genera, presenting 13 and 11 morphotaxa respectively, while Alternaria and Xylaria showed lower diversity with 3 and 2 morphotaxa each. The research unveiled heightened fungal counts and diversity in trees situated in more polluted environments, leaves sampled during dry seasons, those exhibiting signs of disease, lower leaf sections, and midrib samples. These findings underscore the rich assortment of endophytic fungi associated with Grevillea robusta leaves within roadside plantations in Hawassa City, emphasizing the need for further exploration of this fungal community's dynamics. Understanding the pivotal role of these endophytic fungi in tree health, ecosystem resilience, and potential applications in agriculture, forestry, and biotechnology remains imperative.
Artificial light at night (ALAN) pollution alters bat lunar chronobiology: Insights from broad-scale long-term acoustic monitoring
Authors: Li Han , Allen Pauline , Boris Saige , Lagrama Samantha , Lyons Jade , Mills Christina , Moussi Pauline , Nichols Casey , Tacosik Carter , Tsaousis McKenzie , Wilson Nyzaya Livingston , Grider John F. , Parker Kevin A. , Kalcounis-Rueppell Matina C. 
Published: December 2023

Abstract
Background
The timing of behavior and habitat associations of nocturnal animals can be influenced by the lunar cycle in nature. The prevalence of artificial light at night (ALAN) has been recognized as a source of environmental pollution. The interaction between ALAN pollution and the lunar cycle on bat behavior is important for understanding anthropogenic effects on bats. We utilized a decade (2012–2022) of acoustic monitoring data collected in North Carolina, United States, to investigate the relationship between bat activity, lunar cycle, and ALAN pollution in temperate insectivorous bats. We examined whether the amount of lunar illumination affected species-specific nightly activity and whether hourly bat activity patterns varied between nights with different moon phases. We further investigated if the relationship between bat activity and the lunar cycle might be altered by ALAN pollution.
Results
We found that seven bat species showed activity variation across nights in relation to the amount of moon illumination when ALAN pollution was absent. Generally, bats were less active on full moon nights compared to new moon nights. ALAN pollution interacted with the bat-lunar relationship in five of the seven species, masking the effect of the lunar cycle. We identified delayed bat activity patterns on nights with a full or waxing moon in seven species, and ALAN pollution altered that pattern in four species. Overall, ALAN pollution was associated with decreased bat activity independent of lunar cycle effects.
Conclusions
Our study demonstrated that at a broad spatial scale, ALAN pollution negatively affected many North American temperate bat species and altered their lunar chronobiology. As the cost of illumination declines and the economic benefits of nighttime farming and other activities increase, ALAN pollution is spreading to historically dark areas and habitats. ALAN pollution might couple with other threats, such as the white-nose syndrome or climate change, to cause cascading damage in the environment that depends on ecosystem services provided by bats. We argue that further research and conservation actions are needed to mitigate the impact of ALAN pollution.
Anti-infective treatment for patients with nasopharyngeal carcinoma combined with pulmonary abscess: a case report and literature review
Authors: Qinchuan Li , Wenju GUAN , Zhang Jian , Min Chen , Ya ZOU 
Published: December 2023

Abstract
Background
We first report the case of a 58-year-old man who developed a primary lung abscess after chemotherapy for nasopharyngeal carcinoma. Granulocytosis after chemotherapy is a major factor in the development of various infectious diseases.
Case presentation:
In September 2022, a 58-year-old male patient was admitted to our hospital for 20 days due to left eyelid ptosis with diplopia. He was diagnosed with nasopharyngeal cancer and underwent surgery four days later. The patient started the first cycle of chemotherapy on October 1. After the first cycle of chemotherapy, she developed dizziness without obvious reason and was accompanied by instability on the second day of discharge. Chest CT showed chronic bronchitis and emphysema. The doctor suspected that the patient had an infectious lung disease and gave him an empirical antibacterial treatment. However, the symptoms did not resolve, and later, Mycobacterium abscess was found by NGS. After taking cefoxitin and moxifloxacin. The patient's symptoms were significantly reduced and the lesions were absorbed.
Conclusion
These patients are immunosuppressed after chemotherapy, and are prone to the formation of primary lung abscess under high-risk inhalation environment. The successful treatment of bacterial pneumonia combined with NTM lung disease provides treatment ideas for patients with tumor combined with infection.