bluuebunny/crossref_metadata_2025_split huggingface dataset:
Green and solvent-free fabrication of conductive halloysite–polythiophene nanocomposites for the removal of organic pollutants from aqueous media
Authors: Samee Golshan , Arsalani Nasser , Same Saeideh , Navidi Golnaz , Kalantar Esfangare Hasan 
Published: January 2024

AbstractToxic pharmaceutical pollutants, such as nicotine, represent a significant threat to natural water sources due to their continuous discharge. To address this issue, clay minerals and their composites have demonstrated exceptional adsorptive and remedial capabilities for wastewater purification. This research focused on developing green clay-polymeric adsorbents for the efficient removal of pharmaceutical pollutants from industrial wastewater. The synthesis involves creating halloysite nanotube–polythiophene nanocomposites through a green and cost-effective method using vapour polymerization and a solvent-free, ball-milled technique for the adsorptive removal of nicotine from wastewater. The investigation evaluates the impacts of preparation, modification and environmental conditions on the adsorptive performance of these clay-based nanocomposites compared to pure polythiophene. The polymerization process was evaluated by varying the vapour polymerization holding time for a fixed amount of oxidant (FeCl3) and halloysite nanotube (HNT) to investigate the impacts of monomer vapour exposure time on the polymerization of nanocomposites. Following the characterization of the synthesized adsorbents using various methods, the study investigated the impacts of various parameters (e.g. adsorbent dosage, pH and contact time) on the adsorption capabilities of the materials on a laboratory scale. The results revealed that the incorporation of HNT improved the adsorbing performance of nanocomposites. The pH, absorbent concentration and contact time directly affect nicotine adsorption. Significantly, halloysite–polythiophene 3 with a 2 h polymerization duration demonstrated the maximum adsorption efficacy of 78.94% at pH 10 after a 24 h contact time. The environmentally friendly halloysite-based nanocomposite shows promising potential as an effective adsorbent for pharmaceutical pollutant (nicotine) removal from aquatic environments.
A post hoc analysis of previously untreated patients with severe hemophilia A who developed inhibitors in the PUPs A-LONG trial
Authors: Carcao Manuel , Schiavulli Michele , Kulkarni Roshni , Rendo Pablo , Foster Meredith , Santagostino Elena , Casiano Sandra , Königs Christoph 
Published: January 2024

Abstract
Inhibitor development is a major therapeutic complication for people with hemophilia. The phase 3 PUPs A-LONG study evaluated the safety and efficacy of efmoroctocog alfa (a recombinant factor VIII Fc fusion protein, herein referred to as rFVIIIFc) in previously untreated patients (PUPs) with severe hemophilia A. Male PUPs &lt;6 years old were enrolled and received rFVIIIFc; inhibitor development was the primary end point. Post hoc analyses, including patient treatment regimen patterns and timing of inhibitor development, descriptive and Kaplan-Meier analyses of time to first inhibitor-positive test by treatment regimen and by titer, and consumption, were performed to describe patients who developed inhibitors during PUPs A-LONG. We investigated patient characteristics (eg, demographics and genotype) and nongenetic risk factors (eg, intense factor exposure and central venous access device [CVAD] placement) that may predict inhibitor development and characteristics of inhibitor development (low-titer vs high-titer inhibitor). Baseline characteristics were similarly distributed for age, race, and ethnicity across both patients who were inhibitor-positive and those who were inhibitor-negative (all P &gt; .05). High-risk F8 variants were associated with development of high-titer inhibitors (P = .028). High-titer inhibitor development was often preceded by the presence of a low-titer inhibitor. Patients whose low-titer inhibitor progressed to a high-titer inhibitor received a higher mean dose per infusion (98.4 IU/kg, n = 5) compared with those whose low-titer inhibitor resolved spontaneously (59.2 IU/kg, n = 7; P = .033) or persisted (45.0 IU/kg, n = 5; P = .047). There was no association between CVAD placement surgery and inhibitor development. Post hoc analyses suggest that F8 genotype and dose of factor are as important as inhibitor risk factors and require further investigation. This study was registered at ClinicalTrials.gov as #NCT02234323.
Dual-targeting CD33/CD123 NANOBODY T-cell engager with potent anti-AML activity and good safety profile
Authors: Zeng Zhihong , Roobrouck Annelies , Deschamps Geert , Bonnevaux Helene , Guerif Stephane , De Brabandere Veronique , Amara Céline , Dejonckheere Eline , Virone-Oddos Angela , Chiron Marielle , Konopleva Marina , Dullaers Melissa 
Published: January 2024

Abstract
Novel therapies are needed for effective treatment of acute myeloid leukemia (AML). Relapse is common and salvage treatment with cytotoxic chemotherapy is rarely curative. CD123 and CD33, 2 clinically validated targets in AML, are jointly expressed on blasts and leukemic stem cells in &gt;95% of patients with AML. However, their expression is heterogenous between subclones and between patients, which may affect the efficacy of single-targeting agents in certain patient populations. We present here a dual-targeting CD33/CD123 NANOBODY T-cell engager (CD33/CD123-TCE) that was designed to decrease the risk of relapse from possible single antigen-negative clones and to increase coverage within and across patients. CD33/CD123-TCE killed AML tumor cells expressing 1 or both antigens in vitro. Compared with single-targeting control compounds, CD33/CD123-TCE conferred equal or better ex vivo killing of AML blasts in most primary AML samples tested, suggesting a broader effectiveness across patients. In a disseminated cell-line–derived xenograft mouse model of AML, CD33/CD123-TCE cleared cancer cells in long bones and in soft tissues. As cytokine release syndrome is a well-documented adverse effect of TCE, the compound was tested in a cytokine release assay and shown to induce less cytokines compared to a CD123 single-targeting control. In an exploratory single-dose nonhuman primate study, CD33/CD123-TCE revealed a favorable PK profile. Depletion of CD123 and CD33 expressing cells was observed, but there were neither signs of cytokine release syndrome nor clinical signs of toxicity. Taken together, the CD33/CD123 dual-targeting NANOBODY TCE exhibits potent and safe anti-AML activity and promises a broad patient coverage.
Symptom effects and central mechanism of acupuncture in patients with functional gastrointestinal disorders: a systematic review based on fMRI studies
Authors: Wang Lin , Luo Xiaoying , Qing Xiangli , Fang Shuangshuang , Jiang Tianyuan , Wang Qianying , Zhong Zhuotai , Yang Yang , Yang Jianqin , Song Gengqing , Su Xiaolan , Wei Wei 
Published: January 2024

AbstractBackgroundFunctional gastrointestinal disorders (FGIDs) are closely related to disorders of brain-gut interaction. FGIDs are the dominant disease of acupuncture treatment, which can improve the symptoms and emotional state.AimTo evaluate the results and quality of the available clinical evidence and to summarize the central mechanism and effect of acupuncture on FGIDs.MethodsPubMed, EMBASE, Web of science, Cochrane Library, China National Knowledge Infrastructure (CNKI) were searched by computer to collect the randomized controlled trials (RCTs), which contained central mechanisms via fMRI research of acupuncture in the treatment of FGIDs patients. The search time limit was from the establishment of the database to June 22, 2022. Two researchers independently screened the literature, extracted data, and evaluated the quality.ResultsTen RCTs involving fMRI data were included in this study, including 4 Functional dyspepsia (FD) studies, 3 irritable bowel syndrome (IBS) studies, and 3 functional constipation (FC) studies. The score of improvements in both gastrointestinal symptoms and psychological symptoms showed that acupuncture could significantly improve the clinical symptoms of FGIDs patients, including abdominal pain, abdominal distension, frequency of defecation, and stool characteristics, and could relieve anxiety and depression symptoms of patients. Acupuncture could regulate brain functional connections and functional activity in FGIDs patients, mainly including insula, anterior cingulate cortex, prefrontal cortex, thalamus, hippocampus, amygdala and other brain regions.ConclusionAcupuncture can improve gastrointestinal symptoms and psychological status in FGIDs patients, and regulate functional connectivity and activity of brain regions such as insula, ACC, PFC, thalamus, HIPP, amygdala, etc. These changes in brain activity may related to visceral sensation, pain regulation, emotion, but further studies of high quality are still necessary.
FBXO28 promotes cell proliferation, migration and invasion via upregulation of the TGF-beta1/SMAD2/3 signaling pathway in ovarian cancer
Authors: Song Gendi , Sun Zhengwei , Chu Man , Zhang Zihan , Chen Jiajia , Wang Zhiwei , Zhu Xueqiong 
Published: January 2024

Abstract
Background
Ovarian cancer is one of the most common gynecological malignancies due to the lack of early symptoms, early diagnosis and limited screening. Therefore, it is necessary to understand the molecular mechanism underlying the occurrence and progression of ovarian cancer and to identify a basic biomarker for the early diagnosis and clinical treatment of ovarian cancer.

Methods
The association between FBXO28 and ovarian cancer prognosis was analyzed using Kaplan‒Meier survival analysis. The difference in FBXO28 mRNA expression between normal ovarian tissues and ovarian tumor tissues was obtained from The Cancer Genome Atlas (TCGA), and Genotype-Tissue Expression (GTEx) cohorts. The expression levels of the FBXO28 protein in ovarian cancer tissues and normal ovarian tissues were measured via immunohistochemical staining. Western blotting was used to determine the level of FBXO28 expression in ovarian cancer cells. The CCK-8, the colony formation, Transwell migration and invasion assays were performed to evaluate cell proliferation and motility.

Results
We found that a higher expression level of FBXO28 was associated with poor prognosis in ovarian cancer patients. Analysis of the TCGA and GTEx cohorts showed that the FBXO28 mRNA level was lower in normal ovarian tissue samples than in ovarian cancer tissue samples. Compared with that in normal ovarian tissues or cell lines, the expression of FBXO28 was greater in ovarian tumor tissues or tumor cells. The upregulation of FBXO28 promoted the viability, proliferation, migration and invasion of ovarian cancer cells. Finally, we demonstrated that FBXO28 activated the TGF-beta1/Smad2/3 signaling pathway in ovarian cancer.

Conclusions
In conclusion, FBXO28 enhanced oncogenic function via upregulation of the TGF-beta1/Smad2/3 signaling pathway in ovarian cancer.
Social determinants of health during and after coronavirus: a qualitative study
Authors: Izadisabet Farideh , Aminbeidokhti Aliakbar , Jafari Sakineh 
Published: January 2024

Abstract
Background
Health has multiple dimensions influenced not only by individual factors but also by broader social, economic, cultural, and political structures. The widespread COVID-19 pandemic has multidimensional effects on people’s lives, which can have effects on individuals’ lifestyles after the COVID-19. This study aimed to speculate the social determinants of health during and after the COVID-19, which can lead to more effective planning for promoting community health.

Methods
The present study interviewed 21 experts in social and medical fields during four months. The sampling method was snowball. The interviews were semi-structured and administered in-person or electronic. All interviews were transcribed and analyzed according to the Brown and Clarke’s six-stage framework to extract themes.

Results
the participants were 13 males, eight experts in social field, all had PhD, 17 were academic members, and 10 were members of the Social Determinants of Health Research Center. The qualitative content analysis induced seven different social themes that affect the health which included: justice (3 Subcategories), integration (4 Subcategories), acceptance (4 Subcategories), participation (2 Subcategories), adaptation (3 Subcategories), flourishing (4 Subcategories), and cohesion (3 Subcategories).

Conclusions
According to the present study, a grand plan to cover all positive and negative social effects of COVID-19 should have at least seven different dimensions. However, the present models of effective social determinants in health do not have such comprehensiveness. Future studies may provide a proper model to be used in clinical and research fields.
Alleviating effect of lavender (Lavandula angustifolia) and its major components on postherpetic pain: a randomized blinded controlled trial
Authors: You Jiyeong , Shin You Kyoung , Seol Geun Hee 
Published: January 2024

Abstract
Background
Postherpetic neuralgia (PHN) causes severe pain which can lead to decreased quality-of-life. This study aimed to evaluate the effects of inhalation of lavender (Lavandula angustifolia) oil and its major components (linalool and linalyl acetate) on the pain in patients with PHN.

Methods
This study was performed at an outpatient clinic. Sixty-four patients with postherpetic neuralgia were randomly allocated to a control group (almond oil) or one of three experimental groups (lavender oil, linalool, or linalyl acetate diluted in almond oil at concentration of 1% v/v), and the participants inhaled the aroma by natural breathing. Quality, severity, and intensity of pain were measured before and after the intervention.

Results
Six patients discontinued the intervention for personal reasons; hence, data from 58 patients were analyzed (control group, n = 14; 1% lavender oil group, n = 15; 1% linalool, n = 15; 1% linalyl acetate, n = 14). Reduction in sensory pain was greater in the 1% lavender oil group, 1% linalool group, and 1% linalyl acetate group than in the control group (all P < 0.001). Reduction in affective pain was greater in the 1% lavender group (P < 0.001) and the 1% linalool group (P = 0.007) than in the control group. Decreases in pain severity and intensity were significantly greater in all three intervention groups than in the control group.

Conclusions
Inhalation of lavender oil and its major volatile components effectively reduced the quality, severity, and intensity of postherpetic pain, suggesting that lavender oil, linalool, and linalyl acetate may each be an effective intervention for reducing pain in patients with postherpetic neuralgia.

Trial registration
This study was retrospectively registered on the Clinical Research Information Service. Registration number: KCT0007772, first registration 06/10/2022.
PARSID: a Python script for automatic analysis of local BLAST results for a rapid molecular taxonomic identification
Authors: Piccoli Costanza , Muñoz-Mérida Antonio , Crottini Angelica 
Published: January 2024

Abstract
Objective
A reliable taxonomic identification of species from molecular samples is the first step for many studies. For researchers unfamiliar with programming, running a BLAST analysis, filtering, and organizing results for hundreds of sequences through the BLAST web interface can be difficult. Additionally, sequences deposited in GenBank can have outdated taxonomic identification. The use of reliable Reference Sequences Library (RSL) containing accurate taxonomically-identified sequences facilitates this task. Pending the availability of a RSL with the user, we developed a tool that automates the molecular taxonomic identification of sequences.

Results
We developed PARSID, a Python script running through the command-line that automates the routine workflow of blasting an input sequence file against the user’s RSL, and retrieves the matches with the highest percentage of identity in five steps. PARSID accepts cut-off parameters and supplementary information in a.csv file for filtering the results. The final output is visualized in a spreadsheet. We tested its functioning using 10 input sequences simulating different situations of the molecular taxonomic identification of sequences against an example RSL containing 25 sequences. Step-by-step instructions and test files are publicly available at https://github.com/kokinide/PARSID.git.
Evaluating in vivo effectiveness of sotrovimab for the treatment of Omicron subvariant BA.2 versus BA.1: a multicentre, retrospective cohort study
Authors: Lo Carson K. L. , Lo Calvin K. F. , Komorowski Adam S. , Leung Victor , Matic Nancy , McKenna Susan , Perez-Patrigeon Santiago , Sheth Prameet M. , Lowe Christopher F. , Chagla Zain , Bai Anthony D. 
Published: January 2024

Abstract
Background
In vitro data suggested reduced neutralizing capacity of sotrovimab, a monoclonal antibody, against Omicron BA.2 subvariant. However, limited in vivo data exist regarding clinical effectiveness of sotrovimab for coronavirus disease 2019 (COVID-19) due to Omicron BA.2.

Methods
A multicentre, retrospective cohort study was conducted at three Canadian academic tertiary centres. Electronic medical records were reviewed for patients ≥ 18 years with mild COVID-19 (sequencing-confirmed Omicron BA.1 or BA.2) treated with sotrovimab between February 1 to April 1, 2022. Thirty-day co-primary outcomes included hospitalization due to moderate or severe COVID-19; all-cause intensive care unit (ICU) admission, and all-cause mortality. Risk differences (BA.2 minus BA.1 group) for co-primary outcomes were adjusted with propensity score matching (e.g., age, sex, vaccination, immunocompromised status).

Results
Eighty-five patients were included (15 BA.2, 70 BA.1) with similar baseline characteristics between groups. Adjusted risk differences were non-statistically significant between groups for 30-day hospitalization (− 14.3%; 95% confidence interval (CI): − 32.6 to 4.0%), ICU admission (− 7.1%; 95%CI: − 20.6 to 6.3%), and mortality (− 7.1%; 95%CI: − 20.6 to 6.3%).

Conclusions
No differences were demonstrated in hospitalization, ICU admission, or mortality rates within 30 days between sotrovimab-treated patients with BA.1 versus BA.2 infection. More real-world data may be helpful to properly assess sotrovimab’s effectiveness against infections due to specific emerging COVID-19 variants.
Endometriosis MR mimickers: T1-hyperintense lesions
Authors: Ruaux Edouard , Nougaret Stéphanie , Gavrel Marie , Charlot Mathilde , Devouassoux-Shisheboran Mojgan , Golfier François , Thomassin-Naggara Isabelle , Rousset Pascal 
Published: January 2024

AbstractEndometriosis is a chronic and disabling gynecological disease that affects women of reproductive age. Magnetic resonance imaging (MRI) is considered the cornerstone radiological technique for both the diagnosis and management of endometriosis. While MRI offers higher sensitivity compared to ultrasonography, it is prone to false-positive results, leading to decreased specificity. False-positive findings can arise from various T1-hyperintense conditions on fat-suppressed T1-weighted images, resembling endometriotic cystic lesions in different anatomical compartments. These conditions include hemorrhage, hyperproteic content, MRI artifacts, feces, or melanin. Such false positives can have significant implications for patient care, ranging from incorrect diagnoses to unnecessary medical or surgical interventions and subsequent follow-up. To address these challenges, this educational review aims to provide radiologists with comprehensive knowledge about MRI criteria, potential pitfalls, and differential diagnoses, ultimately reducing false-positive results related to T1-hyperintense abnormalities.Critical relevance statementMRI has a 10% false-positive rate, leading to misdiagnosis. T1-hyperintense lesions, observed in the three phenotypes of pelvic endometriosis, can also be seen in various other causes, mainly caused by hemorrhages, high protein concentrations, and artifacts.Key points• MRI in endometriosis has a 10% false-positive rate, leading to potential misdiagnosis.• Pelvic endometriosis lesions can exhibit T1-hyperintensity across their three phenotypes.• A definitive diagnosis of a T1-hyperintense endometriotic lesion is crucial for patient management.• Hemorrhages, high protein concentrations, lipids, and artifacts are the main sources of T1-hyperintense mimickers.
Graphical Abstract
Clinical prediction models for the early diagnosis of obstructive sleep apnea in stroke patients: a systematic review
Authors: Yang Hualu , Lu Shuya , Yang Lin 
Published: January 2024

Abstract
Background
Obstructive sleep apnea (OSA) is a common sleep disorder characterized by repetitive cessation or reduction in airflow during sleep. Stroke patients have a higher risk of OSA, which can worsen their cognitive and functional disabilities, prolong their hospitalization, and increase their mortality rates.

Methods
We conducted a comprehensive literature search in the databases of PubMed, CINAHL, Embase, PsycINFO, Cochrane Library, and CNKI, using a combination of keywords and MeSH words in both English and Chinese. Studies published up to March 1, 2022, which reported the development and/or validation of clinical prediction models for OSA diagnosis in stroke patients.

Results
We identified 11 studies that met our inclusion criteria. Most of the studies used logistic regression models and machine learning approaches to predict the incidence of OSA in stroke patients. The most frequently selected predictors included body mass index, sex, neck circumference, snoring, and blood pressure. However, the predictive performance of these models ranged from poor to moderate, with the area under the receiver operating characteristic curve varying from 0.55 to 0.82. All the studies have a high overall risk of bias, mainly due to the small sample size and lack of external validation.

Conclusion
Although clinical prediction models have shown the potential for diagnosing OSA in stroke patients, their limited accuracy and high risk of bias restrict their implications. Future studies should focus on developing advanced algorithms that incorporate more predictors from larger and representative samples and externally validating their performance to enhance their clinical applicability and accuracy.
A new method of dynamic network security analysis based on dynamic uncertain causality graph
Authors: Dong Chunling , Feng Yu , Shang Wenqian 
Published: January 2024

AbstractIn the context of cloud computing, network attackers usually exhibit complex, dynamic, and diverse behavior characteristics. Existing research methods, such as Bayesian attack graphs, lack evidence correlation and real-time reflection of the network attack events, and high computational complexity for attack analysis. To solve these problems, this study proposes a Dynamic Uncertain Causal Attack Graph (DUCAG) model and a Causal Chain-based Risk Probability Calculation (CCRP) algorithm. The DUCAG model is constructed to represent the uncertain underlying causalities among network attack events, and the CCRP algorithm aims at dynamically updating the causality weights among different network attack events and attacker hypotheses based on alarm information and causal chain reasoning process. By causality simplification and causality reasoning methods, the CCRP efficiently predicts the attacker behaviors and potential attack likelihood under uncertain time-varying attack situations, and is robust to the incompleteness and redundancy in alarm information. Four experiments under different attack scenarios demonstrate that, the DUCAG model can effectively characterize and predict the complex and uncertain attack causalities, in a manner of high time efficiency. The proposed method has application significance on cloud computing platforms by dynamically evaluating network security status, predicting the future behaviors of attackers, and assisting in adjusting network defense strategies.