bluuebunny/crossref_metadata_2025_split huggingface dataset:
Failed induction of labour and associated factors among women delivered in Jigjiga University Sheik Hassan Yabare Referral Hospital: a cross-sectional study
Authors: Mebratu Andualem , Assefa Dawit Getachew , Zeleke Eden Dagnachew , Molla Wondwosen , Mengistu Nebiyu , Woldesenbet Tigist Tekle , Aynalem Amdehiwot , Sefa Ahmedin , Mellesse Dawit 
Published: December 2021

Abstract
Introduction: Induction of labour is one component of comprehensive obstetrics care services that is increasing employed in modern day obstetrics to decrease the risk of maternal and neonatal morbidity and mortality. However, it has been strongly associated with poor maternal and perinatal outcomes. Therefore, his study was aimed to assess the magnitude of failed induction of labour and associated factors among mothers delivered at Jigjiga University Sheik Hassan Yabare referral Hospital, Eastern Ethiopia from June 1 to June 30, 2021.Methods: An institutional based cross-sectional study was carried out among 364 women’s delivered at Jigjiga University Sheik Hassan Yabare Referral Hospital from 2018 to 2021. A checklist was used to collect the data from the women’s chart. To isolate independent predictors related to failed induction of labour, multivariate logistic regression analyses were performed.Result: Our study participants were 364 women’s. The magnitude of failed induction of labour was 36.8% (95% CI: 31.8, 42.0). Age of the mother (<30 years) (AOR= 3.2; CI: 1.78, 5.75), rural residency (AOR=2.28; CI:1.29, 4.01), being primi-para (AOR= 2.76; CI: 1.55, 4.91), gestational age less than 37 or greater than 42 year (AOR= 2.65; CI: 1.44, 4.89) , multiple ton of pregnancy (AOR= 2.36; CI: 1.01, 5.55), premature rapture of membrane (AOR= 4.88; CI: 2.33, 10.21), pregnancy induced hypertension (AOR= 5.11; CI: 2.67, 9.79), and bishop score less than six (AOR= 1.95; CI: 1.15, 3.32) were significantly associated with failed induction of labour.Conclusion: The magnitude of failed induction of labour among mothers undergoing labor induction was relatively high in the study settings compared with previous studies in the country. Failed induction of labour was significantly associated with age of the mother (<30 years), rural residency, being primi-para, gestational age less than 37 or greater than 42 years, multiple ton of pregnancy, premature rapture of membrane, pregnancy induced hypertension, and bishop score less than six.
The Characteristics of Post-Intensive Care Syndrome to Inform Occupational Therapy Practice During the Post-Intensive Care Period: A Systematic Scoping Review.
Authors: Heiniger Zoe , Brandis Susan 
Published: December 2021

Abstract
Background: As the demand for intensive care treatment increases, so too does the number of people surviving critical illness. Since 2010, the term “post-intensive care syndrome” has been used to describe the constellation of new or worsening physical, cognitive, and psychological impairments that persist after intensive care discharge. This review aimed determine the characteristics of PICS present during the first year following discharge from the ICU to inform occupational therapists working with this population during the post-intensive care period. Methods: A systematic scoping review has been conducted according to the PRISMA-ScR Checklist. Seven key databases were searched from inception to 2020. A single reviewer screened available literature against eligibility criteria then cross-checked by a second reviewer. Data were abstracted from relevant publications and results were narratively synthesised through application of a biopsychosocial model.Results: Twenty-five studies were identified for inclusion. Characteristics were categorised as biological, psychological, or social and contextual. Overarching outcomes were also considered. Results demonstrated that characteristics were complex and interwoven between domains. Results were grouped into four key themes: 1) An increased worldwide demand for intensive care, 2) ADL performance, 3) HRQOL, and 4) Consideration of social and contextual characteristics. No studies were found to detail the role of occupational therapists working with post-intensive care survivors.Conclusions: The complex and interwoven nature of post-intensive care syndrome highlights the need to consider a holistic rehabilitation approach. Considering the COVID-19 pandemic, occupational therapists have the potential to play an increased role during the post-intensive care period to reduce the global healthcare burden and improve patient outcomes. Future research is needed to determine the best model of care to support occupational therapists working with survivors of critical illness.Trial Registration: NA
Radiotherapy Combined with Raltitrexed and Irinotecan for Treating Unresectable Recurrent Colorectal Cancer
Authors: Li Xinghui , Shen Jinwen , Xia Fan , Zhu Ji 
Published: December 2021

Abstract
Background:Locally recurrent colorectal cancer is often associated with considerable morbidity and poor quality of life. Moreover, surgical resection is frequently not viable because of tumor fixation in the pelvis. This study aimed to evaluate the effects and safety of intensity-modulated radiotherapy when administered concurrently with raltitrexed and irinotecan to patients with unresectable recurrent colorectal cancer.Methods:Eligible patients had unresectable pelvic recurrence of colorectal cancer, UGT1A1 genotype *1*1 or *1*28, and were refractory to, or intolerant of, chemotherapy with fluoropyrimidine and oxaliplatin. Intensity-modulated radiation therapy (IMRT) was delivered to the pelvis with a total dose of 50–60 Gy in 25–30 fractions, concurrently with irinotecan (200 mg/m2 on days 1 and 22) and raltitrexed (3 mg/m2 on days 1 and 22). After completion of radiation treatment, patients underwent surgery or continued the same regimen of chemotherapy and were assessed by a multidisciplinary team. The primary endpoint was the objective response rate, evaluated using RECIST version 1.1. Secondary endpoints were disease control rate (DCR), progression-free survival (PFS), local progression-free survival (LPFS), and safety. Clinical and imaging evaluations were scheduled every month during treatment.Results:Between January 1, 2019, and July 14, 2020, 30 patients were enrolled in this study at the Fudan University Shanghai Cancer Center. All patients completed radiotherapy with a median number of 5 chemotherapy cycles (range, 2–10). Twelve patients (40%) experienced an objective response, including two complete responses and ten partial responses. Seventeen patients exhibited stable disease, leading to a DCR of 96.7%. With a median follow-up of 13 (range, 4–25) months, progression was observed in 20 patients (11 loco-regional failures, 11 distant metastases, and 5 deaths). The median PFS was 13 (95% confidence interval [CI], 9–18) months; the median LPFS was 15 (95% CI, 14 to not reached) months. The incidence of grade 3 or 4 adverse events was 26.7%. The most common grade 3 or 4 adverse event was neutropenia (13.3%).Conclusions:IMRT with concurrent raltitrexed and irinotecan exhibited encouraging efficacy with an acceptable toxicity profile in patients with unresectable recurrent colorectal cancer.Trial registration: ClinicalTrials.gov: NCT04499586, registered on July 31, 2020 - Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT04499586.
The Effect of Necroptosis-related Gene Signature on the Progression, Prognosis, and Immune Microenvironment of Low-grade Glioma
Authors: Zeng Kuo , Zhang Guo , Huang Wei , Zhang Jianping , Chen Zhibiao 
Published: December 2021

Abstract
BackgroundDespite the incorporation of various clinical and molecular criteria in the diagnosis and prognosis prediction of low-grade glioma, individual variation and risk stratification have not been completely explored. Necroptosis is considered closely related to different types of cancers, including low-grade gliomas. In this study, we obtained the necroptosis genes from the Kyoto Encyclopedia of Genes and Genomes website, extracted necroptosis genes from The Cancer Genome Atlas, and established a necroptosis-related gene signature (NECSig) through hazard analyses. Then we established a prognostic risk model consisting of four NECSig (BID, H2AFY2, MAPK9, and TNFRSF10B).ResultBased on the model, the high-risk group is significantly associated with poorer overall survival. The accuracy of this model is further supported by the receiver operating characteristic curve. Then, we constructed a prognostic nomogram combining NECSig and clinical features, which shows good predictive power for stratification of survival risk. We discovered variations in the kind of immune infiltration, immune cells, and functions between the high-risk and low-risk groups using this risk model. We also showed that drug therapy is more sensitive in high-risk populations.ConclusionThe results revealed a prognostic indicator of NECSig, which may provide information for immunological research and treatment of low-grade gliomas.
Reducing Virus Transmission from Heating, Ventilation, and Air Conditioning Systems of Urban Subways
Authors: Nazari Ata , Hong Jiarong , Taghizadeh-Hesary Farzad , Taghizadeh-Hesary Farhad 
Published: December 2021

Abstract
Transmission via virus-carrying aerosols inside enclosed spaces is an important transmission mode for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), as supported by growing evidence. The urban subway is one of the most commonly used enclosed spaces. The subway is a utilitarian and low-cost transit system in today’s society. However, studies are yet to demonstrate patterns of viral transmission in subway heating, ventilation, and air conditioning (HVAC) systems. To fill this gap, we performed a computational investigation of the airflow (and the associated aerosol transmission) in an urban subway cabin equipped with an HVAC system. We employed a transport equation for aerosol concentration, which was added to the basic buoyant solver to resolve aerosol transmission inside the subway cabin. This was achieved by considering the thermal, turbulence, and induced ventilation flow effects. Using the aerosol encounter probability over sampling lines crossing the passenger breathing zones, we can detect the highest infection risk zones inside the urban subway under different settings. We proposed a novel HVAC system that can impede aerosol spread, both vertically and horizontally, inside the cabin. In the conventional model, the maximum aerosol encounter probability from an infected individual breathing near the fresh-air ducts was equal to 15%. This decreased to 0.36% in the proposed HVAC model. Overall, using the proposed HVAC system for urban subways decreased the mean value of the aerosol encounter probability by approximately 79% compared to that for the conventional system.
The Opioid Analgesic Reduction Study (OARS): A Comparison of Opioid vs. Non-Opioid Combination Analgesics for Management of Post-Surgical Pain Study Protocol for a Double-Blind Randomized Multi-Center Clinical Trial
Authors: Feldman Cecile A. , Fredericks-Younger Janine , Lu Shou-En , Desjardins Paul J. , Malmstrom Hans , Miloro Michael , Warburton Gary , Ward Brent , Ziccardi Vincent , Fine Daniel 
Published: December 2021

Abstract
Background: Everyday people die unnecessarily from opioid overdose-related addiction. Dentists are among the leading prescribers of opioid analgesics. Opioid seeking behaviors have been linked to receipt of initial opioid prescriptions following the common dental procedure of third molar extraction. With each opioid prescription a patient’s risk for opioid misuse or abuse increases. With an estimated 56 million tablets of 5 mg hydrocodone annually prescribed after third molar extractions in the United States, 3.5 million young adults may be unnecessarily exposed to opioids by dentists who are inadvertently increasing their patient’s risk for addiction.Methods: A double blind, stratified randomized, multi-center clinical trial has been designed to evaluate whether a combination of over-the-counter non-opioid containing analgesics is not inferior to the most prescribed opioid analgesic. The impacted 3rd molar extraction model is being used due to the predictable severity of the post-operative pain and generalizability of results. Within each site/clinic and gender type (male/female), patients are randomized to receive either OPIOID (hydrocodone/acetaminophen 5/300 mg) or NON-OPIOID (ibuprofen/acetaminophen 400/500 mg). Outcome data include pain levels, adverse events, overall patient satisfaction, ability to sleep, and ability to perform daily functions. To develop clinical guidelines and a clinical decision making tool, pain management, extraction difficulty and number of tablets taken is being collected enabling an experimental decision making tool to be developed. Discussion: The proposed methods address the short comings of other analgesic studies. Although prior studies have tested short-term effects of single doses of pain medications, patients and their dentists are interested in managing pain for the entire post-operative period, not just the first 12 hours. After surgery, patients expect to be able to perform normal daily functions without feeling nauseous or dizzy and they desire a restful sleep at night. Parents of young people are concerned with the risks of opioid use and misuse, either related to treatments received or to subsequent use of leftover pills. Upon successful completion of this clinical trial, dentists, patients, and their families will be better able to make informed decisions regarding post-operative pain management.Trial registration: ClinicalTrials.gov NCT04452344. Registered on June 20, 2020
INTERAÇÃO UNIVERSIDADE-ESCOLA: USO DE JOGOS DIDÁTICOS PARA CONHECER E PREVENIR O Aedes aegypti
Authors: Santos Déborah Cristina Miranda dos , Silva Anayza Priscila Lourenço da , Costa Ivaneide Alves Soares da , Andrade Souza Giulianna Paiva Viana de 
Published: December 2021

Com o objetivo de sensibilizar e alertar a comunidade escolar acerca da prevenção e malefícios causados pelo Aedes aegypti, agente transmissor do Zyka vírus, Dengue e Chikungunya, realizou-se uma ação conjunta com Secretaria de Educação de Natal, Pró Reitoria de Extensão da UFRN, Universidade Federal Rural do Semiárido (UFERSA) e o Instituto Federal de Educação Tecnológica (IFRN), na Escola Estadual Peregrino Júnior, no município de Natal. Assim, uma sequência de jogos educativos retirados do site do Ministério da Saúde foi aplicada. Os jogos utilizados foram “Verdade ou mito”, “Caça-Palavras”, “Onde está o Aedes?” e o “Jogo dos 7 erros” executados exatamente nessa sequência. A ação atingiu um público estimado de quase 260 alunos, contemplando nove turmas incluindo nível fundamental e médio. Percebeu-se grande interesse dos participantes em conhecer a biologia do Aedes aegypti, doenças que esse vetor pode transmitir, e desenvolver ações de combate ao mosquito. Essa ação se mostrou relevante por contribuir para o empoderamento da população quanto à problemática atual do Aedes tornando-os ativos na prevenção dessas doenças
New Insights into the Biosensing of Parkinson's Disease Biomarkers:
A Concise Review
Authors: Hosseini Elaheh Sadat , Mohammadi Soheila , Khodarahmi Reza , Fouani Mohamad Hassan , Tavallaei Omid , Jaberi Khojaste Rahimi , Shabaninejad Zahra , Janfaza Sajjad , Yazdian-Robati Rezvan , Sajadimajd Soraya 
Published: December 2021

Background:
Parkinson’s disease (PD) is a long-term, degenerative, and neurological
disease in which a person loses control of certain body functions. The formulation
of novel effective therapeutics for PD as a neurodegenerative disease requires accurate
and efficient diagnosis at the early stages.

Objective:
Analyzing data gathered by measurable signals converted from biological reactions
allows for qualitative and quantitative evaluations. Among various approaches reported
so far, biosensors are powerful analytical tools that have been used in detecting the
biomarkers of PD.

Methods:
Biosensor’s biological recognition components include antibodies, receptors,
microorganisms, nucleic acids, enzymes, cells and tissues, and biomimetic structures.
This review introduces electrochemical, optical, and optochemical detection of PD biomarkers
based on recent advances in nanotechnology and material science, which resulted
in the development of high-performance biosensors in this field.

Results:
PD biomarkers such as α-synuclein protein, dopamine (DA), urate, ascorbic acid,
miRNAs, and their biological roles are summarized. Additionally, the advantages and disadvantages
of the usual standard methods are reviewed. We compared electrochemical,
optical, and optochemical biosensors' properties and novel strategies for higher sensitivity
and selectivity.

Conclusion:
The development of novel biosensors is required for the early diagnosis of
PD as sensitive, rapid, reliable, and cost-effective systems.
Transfer Learning of the ResNet-18 and DenseNet-121 Model Used to Diagnose
Intracranial Hemorrhage in CT Scanning
Authors: Zhou Qi , Zhu Wenjie , Li Fuchen , Yuan Mingqing , Zheng Linfeng , Liu Xu 
Published: December 2021

Objective:
To verify the ability of the deep learning model in identifying five subtypes and normal images in noncontrast enhancement CT of intracranial hemorrhage.

Method:
A total of 351 patients (39 patients in the normal group, 312 patients in the intracranial hemorrhage group) performed with intracranial hemorrhage noncontrast enhanced CT were selected, with 2768 images in total (514 images for the normal group, 398 images for the epidural hemorrhage group, 501 images for the subdural hemorrhage group, 497 images for the intraventricular hemorrhage group, 415 images for the cerebral parenchymal hemorrhage group, and 443 images for the subarachnoid hemorrhage group). Based on the diagnostic reports of two radiologists with more than 10 years of experience, the ResNet-18 and DenseNet-121 deep learning models were selected. Transfer learning was used. 80% of the data was used for training models, 10% was used for validating model performance against overfitting, and the last 10% was used for the final evaluation of the model. Assessment indicators included accuracy, sensitivity, specificity, and AUC values.

Results:
The overall accuracy of ResNet-18 and DenseNet-121 models were 89.64% and 82.5%, respectively. The sensitivity and specificity of identifying five subtypes and normal images were above 0.80. The sensitivity of DenseNet-121 model to recognize intraventricular hemorrhage and cerebral parenchymal hemorrhage was lower than 0.80, 0.73, and 0.76 respectively. The AUC values of the two deep learning models were above 0.9.

Conclusion:
The deep learning model can accurately identify the five subtypes of intracranial hemorrhage and normal images, and it can be used as a new tool for clinical diagnosis in the future.
Measurement of High Protein Concentrations by Optical Rotation: A Case
Study for Monitoring of Monoclonal Antibody Drug Downstream Processes
Authors: Inaba Hidenori , Wakabayashi Kosuke , Tsujimoto Ikuo , Yoshimoto Noriko , Yamamoto Shuichi 
Published: December 2021

Background:
Recent advancements in cell engineering and bioreactor engineering have enabled
high monoclonal antibody (mAb) concentrations in harvested solutions for the downstream process
(DSP).

Methods:
As many unit operations such as capture chromatography, polish chromatography, membrane
filtration, virus inactivation, virus filtration, and concentration by ultrafiltration are involved in DSP, it
is crucial to monitor the process carefully in order to perform reliable and stable DSP operations. One of
the most important signals (process parameter) to be monitored is the protein concentration CP. Although
various methods are available, most of them are not suited for measuring high CP. In this paper,
we have developed a method for measuring very high CP by optical rotation (OR).

Result:
Linear correlations were confirmed between OR and CP in the range CP = 0 to 80 g/L for mAbs
with high repeatability and small variation coefficients. This method was applied to the monitoring of CP
in the opaque (colored) solution during the cell culture. The CP by OR was in good agreement with those
by the standard Protein A HPLC method.

Conclusion:
Monitoring of high CP by OR is expected to be an efficient process analytical tool (PAT)
for DSP.
Recent Approaches and Success of Liposome-Based Nano Drug Carriers
for the Treatment of Brain Tumor
Authors: Shaw Tapan Kumar , Paul Paramita 
Published: December 2021

:
Brain tumors are nothing but a collection of neoplasms that originate either from areas
within the brain or from systemic metastasized tumors of other organs spread to the brain. It is a
leading cause of death worldwide. The presence of the blood-brain barrier (BBB), blood-brain tumor
barrier (BBTB), and some other factors may limit the entry of many potential therapeutics into
the brain tissues in the tumor area at the therapeutic concentration required for satisfying effectiveness.
Liposomes play an active role in delivering many drugs through BBB into the tumor due to
their nanosize and physiological compatibility. The surface of the liposomes can be modified with
various ligands that are very specific to the numerous receptors overexpressed onto the BBB as
well as onto the diseased tumor surface site (i.e., BBTB) to deliver selective drugs into the tumor
site. Further, this colloidal carrier can encapsulate both lipophilic and hydrophilic drugs due to its
unique structure. Moreover, the enhanced permeability and retention (EPR) effect can be an added
advantage for nanosize liposomes to concentrate into the tumor microenvironment through relatively
leaky vasculature of solid tumor in the brain where no penetration restriction applies compared
to normal BBB. Here in this review, we have tried to compile the recent advancement along with
the associated challenges of liposomes containing different anti-cancer chemotherapeutics across
the BBB/BBTB for the treatment of gliomas that will be very helpful for the readers for better understanding
of different trends of brain tumor targeted liposomes-based drug delivery and for pursuing
fruitful research on the similar research domain.
Extended Application of Digital Clock Drawing Test in the Evaluation of
Alzheimer’s Disease Based on Artificial Intelligence and the Neural Basis
Authors: Zheng Xiaoran , Zhang Wei , Wang Xing , Li Renren , Liu Meng , Xu Feiyang , Li Yunxia , Zheng Jialin , Nie Zhiyu 
Published: December 2021

Introduction:
This study aimed to build the supervised learning model to predict the state of cognitive impairment, Alzheimer’s Disease (AD) and cognitive domains including memory, language, action, and visuospatial based on Digital Clock Drawing Test (dCDT) precisely.

Methods:
207 normal controls, 242 Mild Cognitive Impairment (MCI) patients, 87 dementia patients, including 53 AD patients, were selected from Shanghai Tongji Hospital. The electromagnetic tablets were used to collect the trajectory points of dCDT. By combining dynamic process and static results, different types of features were extracted, and the prediction models were built based on the feature selection approaches and machine learning methods.

Results:
The optimal AUC of cognitive impairment’s screening, AD’s screening and differentiation are 0.782, 0.919 and 0.818, respectively. In addition, the cognitive state of the domains with the best prediction result based on the features of dCDT is action with the optimal AUC 0.794, while the other three cognitive domains got the prediction results between 0.744-0.755.

Discussion:
By extracting dCDT features, cognitive impairment and AD patients can be identified early. Through dCDT feature extraction, a prediction model of single cognitive domain damage can be established.