bluuebunny/crossref_metadata_2025_split huggingface dataset:
The predictive role of frontoparietal network in clinical symptoms and treatment response in anorexia nervosa
Authors: He Qianqian , Zheng Hui , Zhang Jialin , Yue Ling , Kang Qing , Lian Cheng , Guo Lei , Chen Yan , Hu Yanran , Wang Yuping , Peng Sufang , Wang Zhen , Chen Jue 
Published: August 2023

Abstract
Objective
Anorexia nervosa (AN) has been characterized as an over-control disorder with increased resting-state functional connectivity (RSFC) in the frontoparietal control network (FPCN). However, there has been limited exploration of neuroimaging biomarkers for predicting treatment response in AN. The study aimed to investigate the role of FPCN in predicting clinical symptoms and treatment response in AN patients.
Method
Seventy-nine female AN patients who had not received prior treatment and forty matched healthy controls (HCs) were recruited for this study. All participants completed the Questionnaire Version of the Eating Disorders Examination (version 6.0) to assess the severity of AN. Additionally, RSFC data were obtained from all participants at baseline. AN patients then underwent outpatient treatment for four and twelve weeks, during which time their clinical symptoms were evaluated using the same measures as at baseline.
Results
After controlling for depression and anxiety symptoms, the AN group still exhibited increased RSFC in the right posterior parietal cortex (PPC) and dlPFC compared to HCs. Moreover, RSFC in the PPC to inferior frontal gyrus (IFG) was found to be an important predictor or tend to be an important predictor for the clinical symptoms after controlling for age, and treatment response of AN after controlling for age, age of onset and BMI.
Conclusion
Alterations in RSFC of FPCN may provide a possible neural marker to assist in predicting clinical symptoms and treatment response in AN patients, providing new insight into the pathogenesis of AN and allowing for early prevention and treatment.
Prognostic value of different surgical treatment strategies in patients with colorectal cancer liver metastases: Analysis of SEER Data
Authors: Luo MingPeng , Yuan Li , Gao Xin , Cao Qiaochang , Zhou Jichun , Ruan Shanming , Zhang Bo 
Published: August 2023

Abstract
Objective: This study aimed to evaluate the prognostic value of different surgical treatment options selected based on the clinical and pathological characteristics of colorectal liver metastasis (CLM) patients through a retrospective study.
Materials and Methods: A retrospective analysis was conducted on CLM patients from 2000 to 2018 based on the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate regression analysis and propensity score matching were used to evaluate the survival outcomes and risk factors of different surgical treatment strategies.
Results: A total of 32,308 eligible CLM patients were included in this study, with 15,409 (47.69%) patients receiving no surgery, 469 (1.45%) patients undergoing liver cancer surgery only without colorectal cancer surgery, 11,559 (35.78%) patients undergoing colorectal cancer surgery only without liver cancer surgery, and 4,871 (15.08%) patients undergoing both liver cancer and colorectal cancer surgery. Multivariate survival analysis showed that patients who underwent both surgeries had the best prognosis, while patients who underwent only liver cancer surgery or only colorectal cancer surgery had similar survival curves, indicating similar prognostic outcomes. Patients who did not undergo surgery had the worst prognosis (P<0.001). Propensity score matching eliminated potential confounding factors and verified the aforementioned findings.
Conclusion: In all conditions, even when only partial conditions meet the indications for surgery, proactive surgical treatment remains the primary choice with adequate consideration for safety. Personalized surgical resection strategies contribute to improved survival rates for patients.
Enhancing Stance Detection through Sequential Weighted Multi-task Learning
Authors: Alturayeif Nora , Luqman Hamzah , Ahmed Moataz 
Published: August 2023

Abstract
The exponential growth of user-generated content on social media platforms, online news outlets, and digital communication has necessitated the development of automated tools for analyzing opinions and attitudes expressed in text. Stance detection, a critical task in Natural Language Processing (NLP), aims to identify the underlying perspective or viewpoint of an individual or group towards a specific topic or target. This paper explores the challenges of stance detection, particularly in the context of social media, where brevity, informality, and limited contextual information prevail. While sentiment analysis focuses on explicit sentiment polarity, stance detection classifies the stance or viewpoint of a text towards a target, often of an abstract nature. This study introduces two multi-task learning (MTL) models that integrate sentiment analysis and sarcasm detection tasks to enhance stance detection performance. Four task weighting techniques are proposed and evaluated, and their effectiveness in the MTL models is demonstrated. Extensive evaluations on English and Arabic benchmark datasets highlight the advantages of the proposed models. Among them, the multi-target sequential MTL model stands out with its hierarchical weighting approach, as it achieves state-of-the-art performance. The study underscores the potential of MTL in improving stance detection and provides insights into the interaction between sentiment and stance, while considering the impact of sarcasm.
Semantic Feature Integration network for Fine-grained Visual Classification
Authors: Li Yueyang , Wang Hui , Luo Haichi 
Published: August 2023

Abstract
Fine-Grained Visual Classification (FGVC) is known as a challenging task due to subtle differences among subordinate categories. Many current FGVC approaches focus on identifying and locating discriminative regions, but neglect the presence of unnecessary features that impair the understanding of object structure. These unnecessary features, including 1) ambiguous parts resulting from the visual similarity in object appearances and 2) noninformative parts (e.g., background noise), can have a significant adverse impact on classification results. To address this limitation, we propose the Semantic Feature Integration network (SFI-Net) to eliminate unnecessary information and reconstructing the semantic relations among discriminative features. The network consists of two modules: 1) the multi-level feature filter (MFF) module is proposed to remove unnecessary features with different receptive field, and then concatenate the preserved features on pixel level for subsequent disposal; 2) the semantic information reconstitution (SIR) module is presented to further establish semantic relations among discriminative features obtained from the MFF module. These two modules are carefully designed and can be trained end-to-end in a weakly-supervised way. Extensive experiments on four challenging fine-grained benchmarks demonstrate that our proposed SFI-Net achieves the state-of-the-arts performance. Especially, the classification accuracy of our model on CUB-200-2011 and Stanford Dogs reaches 92.64% and 93.03%, respectively.
Exact Mathematical Analysis of DC-DC Converters Employing Type 3 Controllers
Authors: Gurbina Mircea , Lascu Dan , Lica Septimiu , Sirbu Cristina Laura 
Published: August 2023

Abstract
A new method for analysing the stability of dc-dc converters in closed-loop operation is developed. A generalized discrete model is proposed consisting of two nonlinear vector equations: the state equation and the nondynamic constraint. After model linearization, the classical technique of using characteristic multipliers can be applied. Several problems were solved regarding: the nondynamic constraint derivation; the steady-state operation point calculation; verifying that the parameters defining the steady-state operation point are located in the linear region and are not in the proximity of a saturated vicinity; partial derivatives determination and Jacobian calculation. The above concepts have been easily implemented in Matlab, allowing: determination of the parameter value for which instability occurs; to demonstrate that instability is installed with a Neimark-Sacker bifurcation; to prove that the proposed exact method predicts a much larger stable region, 327% higher compared to that predicted by the traditional approach. The theoretical considerations were accurately validated by computer simulation.
Development of an agent-based model to improve emergency planning for floods and dam failures
Authors: Lumbroso Darren , Davison Mark , Wetton Mark 
Published: August 2023

Abstract

The Life Safety Model (LSM) is an agent-based model which assists with emergency planning and risk assessments for floods and dam failures by providing estimates of fatalities and evacuation times. The LSM represents the interactions of agents (i.e. people, vehicles, and buildings) with the floodwater. The LSM helps to increase the accuracy of estimates of loss of life and evacuation times for these events by taking into account a number of parameters which are not described in empirical models, such as the people's characteristics (e.g. age and gender), building construction types, and the road network. The LSM has been applied to three historic flood-related disasters: the 1953 coastal floods, in the UK; the 1959 Malpasset Dam failure, in France; the 2019 Brumadinho tailings dam disaster, in Brazil. These illustrate how the LSM has been verified and improvements to evacuation routes, early warnings, and the refuge locations could have reduced the number of fatalities. The value of using the LSM is not to calculate the ‘exact’ number of flood deaths or evacuation times, but to assess if emergency management interventions can significantly reduce them. The LSM can also be used to assess whether the societal risk posed by dams and flood defences is ‘acceptable’.
Percepção dos residentes multiprofissionais acerca da espiritualidade no processo de sedação paliativa oncológica
Authors: Frederico Conceicao Grazielle Teixeira , Silva Rose Mary Costa Rosa Andrade , Pereira Eliane Ramos , Bulnes Amélia Marina Morillas , Ramirez Esther Justina , Carneiro Eliane Cristina Pinto 
Published: August 2023

Objetivos: Identificar a percepção dos residentes multiprofissionais acerca da espiritualidade no processo de sedação paliativa oncológica. Método: Estudo qualitativo, descritivo e exploratório com referencial teórico na fenomenologia de Maurice Merleau-Ponty, realizado no setor de internação de um centro de referência nacional em tratamento oncológico no Rio de Janeiro/Brasil. Para a coleta de dados utilizou-se a entrevista semiestruturada e fenomenológica, no período de agosto a outubro de 2022. A amostra, composta por 20 residentes, foi por conveniência e realizada pelos critérios de saturação e redundância dos dados. Resultado: Após a análise ancorada no referencial metodológico de Amedeo Giorge, emergiram quatro categorias, sendo uma delas “A comparência da espiritualidade no processo de sedação paliativa”, tendo como subcategorias: A suspicácia do fenecimento; Adoecimento familiar e; Compaixão na sedação paliativa. Conclusão e implicações na prática: Observa-se a necessidade de profissionais enfermeiros e demais categorias interdisciplinares atuantes em cuidados paliativos buscar apoio para o enfrentamento de suas atividades laborais, assim como a importância e necessidade de maior atenção à formação profissional em saúde, bem como às práticas clínicas no campo da espiritualidade.
Palavras-chave: Sedação Consciente; Percepção; Capacitação de Recursos Humanos em Saúde; Oncologia.
SULF1 Activates the VEGFR2/PI3K/AKT Pathway to Promote the
Development of Cervical Cancer
Authors: Li Juan , Wang Xihao , Li Zhilong , Li Minzhen , Zheng Xuelian , Zheng Danxi , Wang Yanyun , Xi Mingrong 
Published: August 2023

Background and Purpose:
Sulfatase 1 (SULF1) can regulate the binding of numerous
signaling molecules by removing 6-O-sulfate from heparan sulfate proteoglycans (HSPGs) to affect
numerous physiological and pathological processes. Our research aimed to investigate the effect
of the SULF1-mediated VEGFR2/PI3K/AKT signaling pathway on tumorigenesis and development
of cervical cancer (CC).

Methods:
The expression and prognostic values of SULF1 in patients with CC were analyzed
through bioinformatics analysis, qRT-PCR, immunohistochemistry, and western blot. The function
and regulatory mechanism of SULF1 in proliferation, migration, and invasion of cervical cancer
cells were examined through lentivirus transduction, CCK8, flow cytometry analysis, plate colony
formation assay, scratch assay, transwell assay, western blot, VEGFR2 inhibitor (Ki8751), and
mouse models.

Results:
SULF1 expression was significantly upregulated in CC tissues, which was significantly associated
with poor prognosis of patients with CC. In vitro, the upregulation of SULF1 expression
in HeLa cells promoted cell proliferation, colony formation, migration, and invasion while inhibiting
apoptosis. Conversely, the downregulation of SULF1 expression had the opposite effect. In
vivo, the upregulation of SULF1 expression resulted in a significant increase in both tumor growth
and angiogenesis, while its downregulation had the opposite effect. Furthermore, western blot detection
and cell function rescue assay confirmed that the upregulation of SULF1 in HeLa cells promoted
the tumorigenic behaviors of cancer cells by activating the VEGFR2/PI3K/AKT signaling
pathway.

Conclusion:
SULF1 plays an oncogenic role in the tumorigenesis and development of CC, indicating
its potential as a novel molecular target for gene-targeted therapy in patients with CC.
Diagnostic Value of 3D Optical Coherence Tomography Multimode Images in
the Diagnosis of Acute Central Serous Chorioretinopathy
Authors: Zhao Gui-ling , Li Rui-zhuang , Pang Yan-hua , Wang Xiu-qin , Wei Jin-fen , Zhou Zhou 
Published: August 2023

Background:
Spectral-Domain Optical Coherence Tomography (SD-OCT) provides non-invasive, high-speed, high-resolution, three-dimensional cross-section imaging of the macula.

Objectives:
This study aimed to investigate the diagnostic value of the multimodal imaging technique of three-dimension (3D) optical coherence tomography (OCT) (3D-OCT) for the diagnosis and characterization of acute central serous chorioretinopathy (CSC).

Methods:
In this prospective clinical study 3D-OCT examinations of 82 cases with acute CSC were performed on the macular area, and the image characteristics were analyzed. Our study included a total of 87 eyes from 82 cases of CSC patients, 67 males and 15 females (mean age ± standard deviation (SD): 42.89 ±7.80 years old; age range: 27 to 56 years old. The 3D-OCT images were evaluated for the presence of subretinal fluid, subretinal space, fluctuation of the internal limiting membrane (ILM), folds of retinal pigment epithelial (RPE), retinal pigment epithelium detachment (PED), and flat irregular PED. The foveal thickness was measured using the manual caliper of OCT software.

Results:
The OCT B-scan images showed 87 (100%) eyes had exudative retinal detachment (ERD), 38 (44%) had flat irregular PED, 36 (41%) had PED, 8 (9%) had subretinal turbidity structure, 2 (2%) had subretinal dot-like precipitates, 1 (1%) had focal choroidal excavation (FCE), and 1 (1%) eye had fluctuation of internal limiting membrane (FI). In the ILM-RPE thickness map, all eyes had a round or round like regular uniform domes. Fifty-seven (66%) domes were limited in the examination area and 30 (44%) domes were beyond the scope of this examination and only a partial section of the dome could be observed. In the en-face image, all eyes had a round or round-like black figure that corresponded with domes in the ILM-RPE thickness map. In RPE surface, 76 (87%) eyes had a shallow plate depression, 71(82%) had small focal uplift, and 1 (1%) eye had a focal concave feature.

Conclusions:
In the OCT ILM-RPE thickness, en-face image, and RPE surface maps, acute CSC exhibited specific imaging characteristics that can be helpful for reliable diagnosis and differential diagnosis of CSC.
Intranasal Delivery of Lipid Nanoparticles: A Ground-breaking Approach
for Brain Targeting
Authors: Jena Devashish , Srivastava Nimisha , Yasir Mohd , Dan Deblina 
Published: August 2023

Abstract:
In the present scenario, various novel delivery systems are available for drug delivery to
systemic circulation. So, to accomplish a greater therapeutic effect, the nature of the drug delivery is
very important. This delivery is one of the innovative approaches where the drug is targeted to the
brain through the nasal cavity. As we know, the human brain is the most crucial part of the body that
controls various functions of our system. So, safely reaching the targeted site of the brain is necessary
to achieve brain specificity. This delivery system helps us to tackle the problems that may arise in the
other delivery system and helps the drug reach the brain without any difficulties. The major obstacles
we faced during this delivery were the blood-brain barrier (BBB) and the brain-cerebrospinal fluid
barrier. So, if we target the drug to the brain, then we have to overcome these challenges, and before
that, we must have a clear understanding of the targeted site and the mechanism behind the drug targeting. Advancements in science and technology have helped discover many recent strategies and
formulations available for intranasal delivery. The development of lipid nanoparticles is one of the
primitive approaches for targeting any type of drug(hydrophilic/lipophilic) in the brain. So, the aim of
this review mainly focused on the mechanism of intranasal delivery, the devices used, and some recent
strategies like the development of lipid nanoparticles, surface-modified lipid nanocarriers, and noseto-brain patches. This review article also includes a few FDA-approved formulations for nose-to-brain
delivery and their regulatory aspects related to clinical trials and future perspectives.
System Analysis and Mathematical Modeling of Infection Safety Human Caused by COVID-19 Coronavirus Strains
Authors: Kostarev S. N. , Fayzrakhmanov R. A. , Tatarnikova N. А. , Novikova O. V. , Sereda T. G. 
Published: August 2023

The purpose of research is to develop models characterizing the "Cell–Virus–Habitat" system. Methods. The ability of coronaviruses to exit the cell without its apoptosis is an important factor providing the possibility of moderate infection. A description of the complete 2019-nCoV gene can be found in the GenBank Virus Genome bank: MN908947.3. Currently, information about the epidemiology, clinical features, prevention and treatment of this disease is being studied by scientists all over the world. Theoretical approaches in the study were based on the theory of virology, system analysis, differential integral calculus and probability theory. The materials were immunogram indicators for the period 2020-2021. According to studies of the effect of coronavirus infection on residents of the Perm Region. Data on the activity of the coronavirus and the number of sick residents were taken from open sources. Data on the number of residents living in the Perm Region were taken from the population census. The structure of the SARS-CoV-2 genome is reflected in the GenBank data-base: MN908947.3. The SARS-CoV-2 mutation tracker was studied by the repository: https://users.math.msu.edu/users/weig/SARS-CoV-2 Mutation Tracker.html . Results: the "Cell–Virus–Habitat" model was developed and investigated; a system of differential empirical equations characterizing changes in immunogram parameters among underage and child-aged residents of the Perm Region was constructed and investigated; a system of Kolmogorov equations describing the dynamics of the pandemic in the Perm Region was constructed and investigated. Conclusion. One of the consequences of a new coronavirus infection may be a change in the immune system of the human population. A detailed analysis of the immunological status of various racial groups, different ages and gender characteristics under the influence of a new coronavirus infection is currently poorly understood.
YOUNG ENTREPRENEUR FINANCIAL PLANNING TRAINING (PKPM) DURING THE COVID 19 PANDEMIC
Authors: Purnomo Agus , Purnamasari S. , Hani Umi , Zahra Maulida Atika 
Published: August 2023

Wealth is something that is very dharuri in human life, Islam has clearly regulated the management of wealth both personally and publicly. With possessions, humans can meet the needs of life both material and immaterial. The concept of Islamic Financial Planning (Sharia) or Islamic Financial Planning has a universal nature that can not only be applied to entrepreneurs during the Covid 19 virus pandemic so that business actors can plan products and finances when the Covid 19 virus outbreak hits the Indonesian homeland. In financial planning, entrepreneurs are able to provide training and financial preparation when experiencing a decrease in sales or a decrease in income due to the outbreak of the Covid-19 virus which results in a decrease in business performance and a decrease in business performance in financial design in the form of business and non-business. The implementation of this service activity is using training methods on how to prepare financial planning, marketing preparation, preparation of product quality results with the aim of being able to maintain business during the outbreak of the covid 19 virus.The outcome of this service activity is that business actors can plan finances, sales / marketing, and produce quality products that can compete in the market during the disaster of the covid 19 virus outbreak so that, A business that can survive and not suffer losses when a virus outbreak strikes.
PREVAILING TRENDS OF MORPHOLOGICAL INJURIES IN DRIVERS AND PASSENGERS OF JEEPS AND SUVS IN FATAL ACCIDENTS
Authors: Zozulia Vitalii 
Published: August 2023

Forensic medical examination of corpses in traffic accidents is an important area of research in the field of road safety. Vehicle collisions often lead to tragic consequences, and are a significant part of the causes of violent deaths in the interior of cars. Despite constant changes in the design features of modern cars aimed at improving safety, mortality remains significant.
The study is aimed at studying the injuries of the driver and passenger in the cabin of jeeps and SUVs in a head-on collision, taking into account the features of the car design and the mechanisms of force transmission to the body of the passengers.
Aim of the work. Study, analysis and systematization of injuries typical for drivers and passengers in the interior of jeeps and SUVs in frontal collisions with partial overlap.
Materials and methods. 168 acts of traffic accidents with a fatal outcome were analyzed, from which the injuries of the driver and passenger during a frontal collision in the cabin of jeeps and SUVs were considered.
During the research, the following methods were used: system-structural analysis, observation, comparison and description. Also, a forensic examination of injuries was carried out for each case. Statistical analysis included the use of descriptive statistics and multivariate analysis to test the null hypothesis.
Results. The analysis of injuries to the driver and passenger in the cabin of a modern J-class car showed that in cases of fatal auto trauma, the following injuries occurred, which were more typical for passengers compared to drivers: front and rear torso injuries, soft tissues of the right leg, bone fractures lower limbs on the right and left, pelvic fractures on the right and left, kidney damage, ruptures of the spleen and lungs.
Conclusions. In cases of fatal traffic accidents in frontal collisions in the interior of jeeps and SUVs, the following injuries occurred, which were more typical for passengers compared to drivers: front and rear torso injuries, soft tissues of the right leg, bone fractures of both lower limbs, right and left pelvic fractures, kidney damage, ruptures of the spleen and lungs.