bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimized Formulation and Realisation of Conductive Ink Specially Prepared for Flexible Substrate-Based Printed Electronic Circuits
Authors: Sarva Preethi Sudha , Karunanidhi Govardhan 
Published: March 2024

Abstract
Evolution of printable, flexible and wearable electronics has given scope for Printed Electronic Technology (PET) in the field of electronics manufacturing. The implementation of inkjet printing technology to printable electronic devices, including field-effect transistors, photovoltaics, RFID tags, and displays, has gained greater attention recently. Several researchers propose conductive ink formulations to suit inkjet printing, including conductive polymers, carbon, graphene, organo-metallic compounds, metal precursors, and metal nanoparticles. Metal nanoparticle suspensions based on silver are the most promising candidate for inkjet printing based on PET owing to their lowest resistivity of all metallic elements. The formulation of silver conductive ink for flexible electronic devices and the realisation of an electronic circuit using the formulated ink are reported in this paper. Silver nanoparticles are synthesized via a chemical reduction process to provide a formulation with a homogeneous shape, size, crystal state, and good dispersion. Silver nanoparticles of size 30-50nm were synthesized and combined with binders and capping agents to form conductive ink. The resistance of the conductive ink pattern was measured as 2.06Ω after sintering for 24 hours @ 60ºC. The formulated ink exhibited good electrochemical reliability and electrical conductivity. The proposed economical synthesis and ink formulation technique would serve as a boon to the field of printed electronics. Further, the material properties can be easily tuned by introducing chemical modifiers into the conductive ink tailored to suit the application to enhance its adhesion or durability. Formulated conductive ink was used to realise electronic circuits to showcase the conductivity, stability and adhesion properties.
Efficient identification of a flow-induced crystallization model for injection molding simulation
Authors: Saad Sandra , Cruz Camilo , Régnier Gilles , Ammar Amine 
Published: March 2024

Abstract
Most commercial software used to simulate the injection molding process of semi-crystalline thermoplastic polymers do not explicitly take into account the polymer crystallization, which could lead to errors in the estimations of filling as well as warpage and shrinkage. This is mainly due to the common complexity of the models used to describe crystallization and the challenging respective model parameter identification under injection molding conditions. To close this gap, in this work we use a simple thermo-mechanical crystallization model to describe the flow-induced and quiescent crystallization of an unreinforced semi-crystalline thermoplastic material during injection molding. The crystallization model is implemented in the commercial software Autodesk Moldflow Insight 2021 using the Solver API feature alongside crystallization-dependent viscosity, PVT and solidification models. The model parameters were identified using a calibration workflow that employs surrogate models representing the simulated pressure results to perform a multi-objective optimization. The filling predictions as well as the calculated pressure fields are presented using the calibrated model parameters in comparison to those measured during the actual injection molding of a polyoxymethylene (POM) part using different process conditions. The results show major improvements in the estimations of the time-depending pressure field as well as the level of filling of the produced parts.
Translation and psychometric validation of the Arabic version of the Sexual Risky Behaviours Scale (SRBS)
Authors: Fekih-Romdhane Feten , Maalej Emna , Hakiri Abir , Cheour Majda , Hallit Souheil 
Published: March 2024

Abstract

Background
Providing an accurate, simple and quick-to-administer Arabic-language measure of sexual risky behaviour may help provide a clear overview of the prevalence and risk factors of this issues among Arabic-speaking communities, and implement evidence-informed strategies aiming at promoting health, providing relevant information about STIs, and facilitating access to health services in Arab countries. To this end, the present study proposes to validate the Arabic-language version of the Sexual Risky Behaviours Scale (SRBS) in a sample of native Arabic-speaking young adults from the general population of Tunisia.
Methods
A cross-sectional survey was conducted during the period from January 1st 2024 to March 1st 2024. The data were collected using a self-administered online questionnaire, which was distributed to potential participants using the snowball sampling technique.
Results
Confirmatory Factor Analysis (CFA) supported a one-factor solution. The SRBS total scores exhibited robust internal consistency, with McDonald omega coefficient of .84 and a Cronbach alpha coefficient of .83. Furthermore, multi-group CFA analyses examining the sex-based measurement invariance of the SRBS showed that the Arabic version of the scale holds similar factor structure between male and female respondents. Males displayed significantly higher SRBS scores that females. Finally, our findings supported good convergent and concurrent validity of the Arabic SRBS based on significant positive correlations with measures of proneness to risk-taking, impulsivity, and depression.
Conclusion
Clinicians, counsellors and researchers working in Arab settings are now encouraged to use the Arabic-language SRBS in their routine practices and for conducting more research on the topic, so that prevention activities can be more effectively implemented.
Centers for Medicare and Medicaid Services (CMS) Supported Interventions to Address Health Disparities in Pediatric Populations: A Scoping Review
Authors: Myers Carlie N. , Rao Meera , Densley Sebastian , Bandi Rishiraj , Diaz Daniella , Sacca Lea 
Published: March 2024

Abstract

OBJECTIVE: To assess the scope of Centers for Medicaid and Medicare (CMS) and CHIP funded interventions to minimize pediatric health disparities.
METHODS: The authors searched Cochrane Library, Embase, PubMed, and Web of Science using keywords and terms related to Medicaid, Medicare, CMS, public health insurance, pediatric, and health disparities. Full-text, peer-reviewed studies published in English between 2013-2023 focusing on pediatric patients with interventions to reduce health disparities funded by CMS were included. The review of the literature databases was completed over one month, ending in June 2023. Articles were screened for eligibility by the primary author and senior author. Co-authors carried out data tabulation and extraction.
RESULTS: Four peer-reviewed, full-text studies published in English between 2013-2023 that focused on pediatric patients (0-18 years old) with public health insurance with interventions to reduce health disparities funded by CMS were included in the review. Study designs included one randomized control study, one intervention study, one cross-sectional study, and one policy statement. Patient sample sizes ranged from 129 to 36,000, including racial/ethnic minorities, low-income families, Medicaid-insured children and adolescents, and Children’s Health Insurance Program recipients.
CONCLUSION: Few studies exist examining CMS-funded interventions to minimize pediatric health disparities. Federal-funded programs, specifically CMS, can dismantle health inequities by addressing SDoH impacting minoritized and marginalized pediatric patients.
Using Machine Learning Techniques for Diagnosing
and Analysing Medication-Related Osteonecrosis of
the Jaw (MRONJ)
Authors: Jamshidi Alireza , Moztarzadeh Omid , Baghalipour Nasimeh , Najdaghi Soroush , Davani Delaram Narimani , Jamshidi Mohammad (Behdad) , Hauer Lukas 
Published: March 2024

Abstract
This research examines the use of streamlined multimodal machine learning (ML) models to predict and assess key factors contributing
to medication-related osteonecrosis of the jaw (MRONJ), particularly in patients undergoing treatment for osteoporosis
or cancer. Our approach aims at harnessing these ML models to enable early diagnosis and precise identification of significant
risk factors, creating a foundation for real-time, proactive strategies that could mitigate the onset and progression of MRONJ.
Through detailed analysis and validation, we propose an innovative framework that integrates ML insights with clinical practices,
ultimately enhancing patient care and quality of life by steering clear of potential complications associated with MRONJ.
Agnostic B cell selection approach identifies antibodies against K. pneumoniae that synergistically drive complement activation.
Authors: Rooijakkers Suzan , Lans Sjors van der , Bardoel Bart , Kerkman Priscilla , Ruyken Maartje , de Haas Carla , Baijens Stan , Muts Remy , Scheepmaker Lisette , Aerts Piet , Wout Marije Van 't , Marijnissen Renoud , Schuurman Janine , Beurskens Frank 
Published: March 2024

Abstract

Antibody-dependent complement activation plays a key role in the natural human immune response to infections. Currently, the understanding of which antibody-antigen combinations drive a potent complement response on bacteria is limited. Here, we develop an antigen-agnostic approach to stain and single-cell sort human IgG memory B cells recognizing intact bacterial cells, keeping surface antigens in their natural context. With this method we successfully identified 29 unique antibodies against K. pneumoniae, a dominant cause of hospital-acquired infections with increasing antibiotic resistance. Combining genetic tools and functional analyses, we reveal that the capacity of antibodies to activate complement on K. pneumoniae critically depends on their antigenic target. Furthermore, we find that certain antibody combinations can act synergistically to activate complement on K. pneumoniae. Understanding the molecular basis of effective complement activation by monoclonals or combining antibodies to mimic a polyclonal response could accelerate the development of antibody-based therapies against problematic infections.
Assessment of a Smartphone App to Assist Patients in Identification of Neurological and Cardiac Emergencies: The Emergency Call for Heart Attack And Stroke (ECHAS) Study
Authors: Dhand Amar , Mangipudi Rama , Varshney Anubodh , Crowe Jonathan , Ford Andria , Sweitzer Nancy , Shin Min , Tate Sam , Haddad Haissam , Kelly Michael , Muller James , Shavadia Jay 
Published: March 2024

Abstract
Failure to recognize symptoms of neurological and cardiac emergencies lead to prehospital delays and reduced access to efficacious therapies. We created a smartphone application to help individuals to recognize symptoms requiring emergency evaluation for stroke or myocardial infraction (MI). ECHAS assesses the risk of stroke, MI, or related conditions through evidence-based questions and finger-tapping test. Here, in patients who presented with stroke or MI symptoms to the Emergency Department (ED), we tested the sensitivity of ECHAS to identify patients in whom ED evaluation was appropriate. In 202 patients (57 stroke, 145 MI), ECHAS had 0.98 sensitivity for identifying such patients and 1.0 sensitivity for identifying patients who were admitted to the hospital. Patients reported that the app was fast and usable, taking 111 seconds (SD 60) for stroke and 60 seconds (SD 33) for MI. ECHAS is a sensitive and usable digital medicine tool that now needs prospective clinical validation.
Plasma neurofilament light, glial fibrillary acid protein, and phosphorylated tau 181 as biomarkers for neuropsychiatric symptoms and related clinical disease progression
Authors: Rabl Miriam , Zullo Leonardo , Lewczuk Piotr , Kornhuber Johannes , Karikari Thomas K , Blennow Kaj , Zetterberg Henrik , Bavato Francesco , Quednow Boris B , Seifritz Erich , von Gunten Armin , Clark Christopher , Popp Julius 
Published: March 2024

Abstract

BACKGROUND
Neuropsychiatric symptoms (NPS) are common in older people, may occur early in the development of dementia disorders, and have been associated with faster cognitive decline. Here, our objectives were to investigate whether plasma levels of neurofilament light chain (NfL), glial fibrillary acid protein (GFAP), and tau phosphorylated at threonine 181 (pTau181) are associated with current NPS and predict future NPS in non-demented older people. Furthermore, we tested whether the presence of NPS combined with plasma biomarkers are useful to predict Alzheimer’s disease (AD) pathology and cognitive decline.
METHODS
One hundred and fifty-one participants with normal cognition (n=76) or mild cognitive impairment (n=75) were examined in a longitudinal brain aging study at the Memory Centers, University Hospital of Lausanne, Switzerland. Plasma levels of NfL, GFAP, and pTau181 along with CSF biomarkers of AD pathology were measured at baseline. NPS were assessed through the Neuropsychiatric Inventory Questionnaire (NPI-Q), along with the cognitive and functional performance at baseline and follow-up (mean: 20 months). Linear regression and ROC analyses were used to address the associations of interest.
RESULTS
Higher GFAP levels were associated with NPS at baseline (β=0.23, p=.008). Higher NfL and GFAP levels were associated with the presence of NPS at follow-up (β=0.29, p=.007 and β=0.28, p=.007, respectively) and with an increase in the NPI-Q severity score over time (β=0.23, p=.035 and β=0.27, p=.011, respectively). Adding NPS and the plasma biomarkers to a reference model improved the prediction of future NPS (AUC 0.73 to 0.84, p=.007) and AD pathology (AUC 0.79 to 0.86, p=.006), but not of cognitive decline (AUC 0.79 to 0.84, p=.068).
CONCLUSION
Plasma GFAP is associated with NPS while NfL and GFAP are both associated with future NPS and NPS severity. Considering the presence of NPS along with blood-based AD-biomarkers may improve diagnosis and prediction of clinical progression of NPS and inform clinical decision-making in non-demented older people.
Anticoagulation Therapy After Reperfusion Treatment for Non-Valvular Atrial Fibrillation-Related Acute Ischemic Stroke—A Multicenter Retrospective Study
Authors: Li Fang , Liu Jingjing , Zhang Fan , Wu Xiangbin , Dai Tingmin , Kuang Jie , Cheng Zhijuan , Chen Weiping , Yin Min , Wang Kai , Guo Tinghao , Zeng Guoyong , Tu Jianglong 
Published: March 2024

Abstract

Objective
To understand anticoagulation therapy in acute ischemic stroke (AIS) patients with related atrial fibrillation (AF) after receiving reperfusion treatments in the real world.
Methods
This retrospective study collected basic clinical data, the initiation time of anticoagulation therapy, treatment plans, and prognosis of acute ischemic stroke patients with atrial fibrillation who underwent intravenous thrombolysis (IVT), endovascular thrombectomy (EVT), or a combination of IVT and EVT from January 2019 to January 2022 in four tertiary hospitals in Jiangxi Province. A multivariate logistic regression analysis was used to analyze the factors influencing anticoagulation therapy in these patients.
Results
A total of 410 patients met the selection criteria, including 168 (41.0%) in the IVT group, 144 (35.1%) in the EVT group, and 98 (23.9%) in the IVT + EVT group. Initiation of anticoagulation therapy within 14 days post-AIS was found in 175 patients in total (42.7%), which is significantly different in three groups (49.7% in IVT group, 30.3% in EVT group, and 20.0% in IVT + EVT groups, P < 0.01). Multivariate logistic regression analysis revealed that prior use of antiplatelet drugs was more common in patients receiving early anticoagulation therapy (OR = 0.122, 95% CI: 0.065–0.228, P < 0.01). Patients receiving no anticoagulation had higher-3- days post-reperfusion NIHSS score (OR = 1.109, 95% CI: 1.073–1.147, P < 0.01) and more in-hospital hemorrhagic transformation (OR = 2.572, 95% CI: 1.423–4.648, P < 0.01). Of all patients, 281 had a favorable 90-day prognosis [mRS score 0–2], including 152 (86.9%) in the early anticoagulation group and 129 (54.9%) in the late anticoagulation group (P < 0.01). Postoperative 90-day outcomes included 25 (6.1%) cases of recurrent ischemic stroke (P = 0.55) and 27 (6.6%) bleeding events (p = 0.32).
Conclusions
Early initiation of anticoagulation therapy improves 90-day outcomes in nonvalvular AF post-related AIS patients with related AF after receiving reperfusion treatments; however, the initiation of anticoagulation in most patients might be much later than the currently recommended timing in real world.
Eco-friendly control of disease-transmit mosquito vectors using the mosquito fish Gambusia affinis and low dosages of Mukia maderaspatana extracts
Authors: Mathalaimuthu Baranitharan , Sethupathi Amarnath Pandian , Kaliyamoorthy Kumar , Hari Irrusappan , Satnami Pinku , Jayapal Gokulakrishnan 
Published: March 2024

Abstract

In many countries, mosquitoes pose a serious threat to public health, and managing mosquito populations is one of the most difficult aspects of mosquito control programmes. There is a need for decision biological active molecules to control mosquito in order to prevent dengue virus transmission. In the present investigation, ethanol and methanol using mosquitocidal compounds isolated against disease-transmitting mosquitoes. The highest preliminary larvicidal effective was found in the methanol leaf extract of Mukia maderaspatana (MLE-M. maderaspatana), followed by Trigonella foenum, Phyllanthus niruri, Senna auriculata, Justicia adhatoda, Andrographis paniculata, Hybanthus enneaspermus, Cardiospermum corundum and Azadirachta indica. The MLE and ELE-M. maderaspatana had the highest mortality rates at 48 hours, with LC50 values of 4.46 ppm and 60.55 ppm against An. stephensi, respectively. The phytochemical studies by quantitative and qualitative methods were MLE and ELE-M. maderaspatana, showed presence of saponins, glycosides, alkaloids, flavaonoids, terpenoids, phenolic compounds, cardiac glycosides, coumorins, and steroid. The functional groups where FT-IR analysis was found included secondary profiling, which is obviously a phytochemical and may function as a geranylgeraniol molecule. It is evident from the Nuclear magnetic resonance (NMR) spectrum that MLE-M. maderaspatana was the source of the geranylgeraniol compound. MLE-M. maderaspatana exhibited a more potent antioxidant activity in DPPH, ABTS+, H2O2 tests than ascorbic acid. The primary component of the 26 MCCs found in the MLE-M. maderaspatana was geranylgeraniol. The results so show that MLE-M. maderaspatana, a component from a medicinal plant, may be a more effective mosquito control agent than readily available insecticides.
Erchen Decoction regulates AMPK pathway in the treatment of metabolic syndrome induced by second-generation antipsychotics based on network analysis
Authors: Su Yujing , Luo Chao , Zhang Beibei , Yu Tianyue , Zhang Jianming , Chen Jianhua 
Published: March 2024

Abstract

Background
Erchen Decoction (ECD) has garnered clinical recognition for its efficacy in managing metabolic syndrome (MetS) induced by second-generation antipsychotics (SGAs). Despite its therapeutic success, the intricate pharmacological mechanisms underpinning ECD's action remain to be elucidated.
Methods
To predict protein interactions within the pharmacological framework of ECD, we constructed a protein-protein interaction (PPI) network using the shared targets between ECD components and MetS. Subsequently, we conducted Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses on the common targets of ECD, SGAs, and MetS. A component-core target visualization network was developed for clearer representation. Molecular docking simulations were performed using Autodock Vina 1.2.0, and corroborative animal experiments were undertaken to validate ECD's mechanisms of action.
Results
Our research identified 221 potential targets of ECD, 1027 MetS-related targets, and 361 targets associated with clozapine and olanzapine. A PPI network was established from 79 intersecting targets of ECD and MetS. Analyses of 23 shared targets among ECD, SGAs, and MetS highlighted the AMPK pathway as potentially pivotal in the treatment of SGAs-induced MetS. The visualization network suggested ADRA1A, AHR, NR3C1, and SLC6A4 as core targets. In silico molecular docking revealed strong binding affinities of naringenin, baicalein, and quercetin in ECD with the NR3C1 and SLC6A4 targets. In vivo, ECD mitigated olanzapine-induced MetS in rats, accompanied by reduced expression of AMPK and SREBP1 in the liver.
Conclusions
Our findings propose that ECD may exert its therapeutic effects by targeting NR3C1 and SLC6A4 and modulating the AMPK pathway in the treatment of MetS induced by SGAs. These insights are in congruence with the results obtained from molecular docking and animal model studies.
MRI-based radiomics feature combined with tumor markers to predict TN staging of rectal cancer
Authors: liu zhiyu , Zhang Jinsong , Wang Hongxuan , Chen Xihao , Song Jiawei , Xu Dong , Li Jipeng , Zheng Minwen 
Published: March 2024

Abstract
Objectives: The aim of this study is to evaluate the predictive ability of MRI-based radiomics combined with tumor markers for TN staging in patients with rectal cancer and to develop a prediction model for TN staging.
Methods: A total of 190 patients with rectal adenocarcinoma who underwent total mesorectal excision at the First Affiliated Hospital of the Air Force Medical University between January 2016 and December 2020 were included in the study. An additional 54 patients from a prospective validation cohort were included between August 2022 and August 2023. Preoperative tumor markers and MRI imaging data were collected from all enrolled patients. The 190 patients were divided into a training cohort (n=133) and a validation cohort (n=57). Radiomics features were extracted by outlining the region of interest (ROI) on T2WI sequence images. Feature selection and radiomics score (Rad-score) construction were performed using least absolute shrinkage and selection operator regression analysis (LASSO). The postoperative pathology TNM stage was used to differentiate locally advanced rectal cancer (T3/4 or N1/2) from locally early rectal cancer (T1/2, N0). Logistic regression was used to construct separate prediction models for T-stage and N-stage. The models' predictive performance was evaluated using DCA curves and calibration curves.
Results: The T staging model showed that Rad-score, based on 8 radiomics features, was an independent predictor of T staging. When combined with CEA, tumor diameter, mesoretal fascia (MRF), and extramural venous invasion (EMVI), it effectively differentiated between T1/2 and T3/4 stage rectal cancers in the training cohort (AUC 0.87 [95% CI: 0.81-0.93]). The N-staging model found that Rad-score, based on 10 radiomics features, was an independent predictor of N-staging. When combined with CA19.9, degree of differentiation, and EMVI, it effectively differentiated between N0 and N1/2 stage rectal cancers. The training cohort had an AUC of 0.84 (95% CI: 0.77-0.91). The calibration curves demonstrated good precision between the predicted and actual results. The DCA curves indicated that both sets of predictive models could provide net clinical benefits for diagnosis.
Conclusion: MRI-based radiomics features are independent predictors of T-staging and N-staging. When combined with tumor markers, they have good predictive efficacy for TN-staging of rectal cancer.