bluuebunny/crossref_metadata_2025 huggingface dataset:
Sensorial Evaluation, Physico-chemical Properties and Aromatic Profile of Pasteurized Orange Juice with Resistant Maltodextrin
Authors: Arilla Elías , Martínez-Monzó Javier , Chiş Maria Simona , Fǎrcaş Anca Corina , Socaci Sonia Ancuţa , Codoñer-Franch Pilar , García-Segovia Purificación , Igual Marta
Published: July 2023

Although the beneficial health effects of prebiotics have been demonstrated in numerous research papers, its incorporation into daily food remains unfamiliar to consumers. This work evaluates the resistant maltodextrin (RMD) addition in the sensory attributes of pasteurized orange juice, together with the physico-chemical properties and the aromatic profile. RMD addition moderately improved almost all sensory attributes evaluated by panellists. It also proportionally increased °Brix together with density and decreased acidity. Colour changes were registered with higher RMD concentrations. Orange pulp presence affected the volume particle size distribution analysis while RMD addition did not exercised any effect. The aroma volatile compounds were also analysed. Pulp-added samples marked higher alcohol and aldehydes quantity, whereas pulp-free samples registered higher terpenes and terpenoids values. Ketones and acids were also quantified. RMD had a moderate impact on volatile compounds quantifications, playing the orange pulp presence a much more decisive role. A correlation analysis was also performed to relate instrumental and sensorial determinations for all samples. This work proves that the addition of RMD to orange juice is technologically feasible while also achieving a good response at the sensory level.
Assessment and Prediction of Adherence to Methotrexate Using Three Self-Report Questionnaires in Patients with Rheumatoid Arthritis
Authors: Ceranic Jelena , Kisic Tepavcevic Darija , Petronijevic Milan , Milic Marija , Ceranic Milija , Rancic Nemanja , Ristic Gorica
Published: July 2023

Abstract: Objective: This study aimed to estimate adherence to methotrexate in patients with rheumatoid arthritis and identify specific nonadherence risk factors. Methods: A cross-sectional study included 111 patients (age mean 56.2±10.6 years, 78.4% female, and disease duration mean 6 (3-13) years). Three adherence self-assessment questionnaires were used: the Compli-ance-Questionnaire-Rheumatology (CQR19), the Medication Adherence Reports Scale (MARS-5), and the Visual Analogue Scale (VAS). We also collected demographic data, disease and treatment characteristics, and anxiety/depression estimation results (Hospital Anxiety and Depression Scale- HADS). Results: Adherence was identified in 48.6% of patients (COR19), 70.3% (MARS-5), and 82.9% of patients in the VAS questionnaire. All three questionnaires displayed a significant positive mutual correlation: CQR19 with MARS-5 and VAS (r =0.364, r=0.329 respectively, p<0.001 for both), between VAS and MARS-5 score (r=0.496, p<0.001). A significant positive prediction was shown for urban residence (0.347 (0.134-0.901), p=0.030), using the MARS-5 scale, female sex (0.264 (0.095-0.730), p=0.010) according to CQR19 and for a dose of methotrexate (0.881 (0.783-0.992), p=0.036) in VAS scale, while negative prediction were shown for comorbidity number (3.062 (1.057-8.874), p=0.039), and depression (1.142 (1.010-1.293), p=0.035) using MARS-5 scale and for older age (1.041 (1.003-1.081), p=0.034) according to CQR19. The use of steroids was a significant positive predictor in all three questionnaires and remained an independent predictor for metho-trexate adherence in multivariant logistic regression. Conclusion: We showed nonadherence to methotrexate in a significant number of patients using all three questionnaires. Concomitant steroid therapy emerged as an independent positive predictor for adherence.
Antimicrobial peptides from Periplaneta americana cockroaches inhibit pathogenic bacterial biofilm formation
Authors: Abu-Hussein Samah H. , Adly Eslam , Radwan Wafaa , Maan Sodaf , AbdelHalem Basma
Published: July 2023

The food industry sector faces many obstacles all over the world due to biofilm formation causing economical huge losses and serious problems to human health. The present work was designed to discover new natural alternatives of effective antimicrobial peptides from insects against three pathogenic bacterial strains Escherichia coli O157:H7, Bacillus cereus ATCC11778 and Staphylococcus aureus ATCC29737. A total of 150 adult P. americana were reared and hemolymph was extracted to test their inhibitory activities. The adult P. americana hemolymph extract markedly inhibited the growth of B. cereus ATCC11778 and S. aureus ATCC2973 while E. coli O157:H7 was resistant. All cockroaches insects' hemolymph extraction and different concentrations of hemolymph were prepared then tested against the previously mentioned bacterial pathogens applying the Clinical Laboratory Standard Institute (CLSI) methods. Minimum inhibitory concentration of the extracts was also determined with zones of inhibition ranging from 10.0 to 30.0 mm. The highest value of the inhibition zone was for B. cereus, which recorded 30.0 mm for both crude extract and 0.5 mg/ml of hemolymph extraction. Crystal violet staining experiment was carried for testing biofilm inhibition. As a result, the formed biofilm of B. cereus and S. aureus was strongly inhibited by hemolymph and destroyed after 48 hrs of incubation with optical density of 0.388 and 0.0503 compared to control treatments of OD readings reached 1.91, at 590 nm, respectively. The cytotoxicity test against human skin fibroblast indicated no toxicity effect of the hemolymph. The Gas chromatography analysis of the adult Periplaneta americana cockroach hemolymph indicated the presence of antimicrobial peptides and fatty acids. The predominant antimicrobial peptides were 3,5-Triazine, 2,4-Diamine, 6-Chloro-N-Ethyl, N,N,N'-Trimethyl-N'-(4-Meth Oxy-Cis-Cinnamoyl-Putresc, 3',8,8'-Trimethoxy-3-piperidyl-2,2'-b inaphthalene-1,1',4,4'-tetrone at retention time (RT) of 6.99, 27.67 and 36.61 min, respectively. The most abundant Fatty acids were hexadecanoic acid, dodecanoic acid, Octadecanedioic acid at RT of 4.15 min. The inhibitory potency of hemolymph extract from Periplaneta americana as a new insectary alternative against microbial growth and biofilm formation makes this insect a new promising source for effective production of antimicrobial peptides (AMPs).
Topical 5-Aminolevulinic Acid-Mediated Photodynamic Therapy versus Loop Electrosurgical Excision Procedure in the Treatment of Cervical Intraepithelial Neoplasia
Authors: Liu Yidi , Li Yi , Xu Jieyang , Wu Huan , Wang Ying , Zeng Jing , Li Hui , Qiu Haixia , Gu Ying
Published: July 2023

Objective. To compare effectiveness of topical 5-aminolevulinic acid-mediated photodynamic therapy (5-ALA PDT) and loop electrosurgical excision procedure (LEEP) among patients with cervical intraepithelial neoplasia (CIN).
Methods. We retrospectively identified patients who underwent either 5-ALA PDT or LEEP from Sep. 2012 to Dec. 2019 in Chinese PLA general hospital. Patients’ outcomes were compared according to the HPV genotyping, cytological tests within 3–6-month follow-up post-treatment, the pathological examination would be performed if the cytological results indicated the risk of CIN. Propensity score matching (PSM) was adapted to pair the baseline. Complete remission (CR), partial remission (PR) and the remission rate of HPV infections were used to evaluate the efficacy of 5-ALA PDT versus LEEP.
Results. In total, 30 pairs were matched as the matching tolerance was set as 0.03. No significant difference in CR and PR was found between the 5-ALA PDT and LEEP groups (73.33% vs 84.00%, P=0.340; 3.33% vs 4.00%, P=1.000). Among different CIN group, no statistically significant difference was found between 5-ALA PDT and LEEP. Moreover, in terms of HPV remission rate, 5-ALA PDT showed the same efficacy as LEEP (59.26% vs 53.85%, P=0.691).
Conclusions.Overall, topical 5-ALA PDT for cervical lesions is generally regarded as a non-invasive and repeatable procedure that is considered safe with minimal side effects while preserving the cervical structure. Moreover, it has been observed that in many cases, PDT with 5-ALA achieves successful treatment outcomes that are comparable to those of LEEP.
Quality of Acute Coronary Syndrome Care and in-hospital Outcome in a Resource-poor Setting in Northern Ghana
Authors: Yakubu Abdul-Subulr , Ahadzi Dzifa
Published: July 2023

Background
African countries are facing an epidemic of cardiovascular diseases for which they lack the resources to diagnose and manage adequately. Information on the quality of acute coronary syndrome care offered in underserved communities in low to middle-income countries like Ghana is limited. We examined the quality of acute coronary syndrome care offered to patients presenting to the Tamale Teaching Hospital in Northern Ghana.
Methods
We conducted a retrospective review of the medical records of patients ≥ 18 years with acute coronary syndrome managed in the Tamale Teaching Hospital of Northern Ghana from January 2021 to December 2022. We characterised the clinical profile of these patients and assessed in-hospital outcomes and the extent of compliance to key performance and quality indicators as contained in the 2017 American Heart Association /American College of Cardiology guideline for adults with myocardial infarction.
Results
Between January 2021 and December 2022, 62 patients with a mean age of 56.0 ± 16.1 years were admitted with acute coronary syndrome. Median time to hospital presentation after symptom onset was 24 hours (IQR 15–96 hours). 33.9% had ST-elevation myocardial infarction, of which only 14.3% received reperfusion therapy. About three-quarters of patients received dual antiplatelet therapy at discharge (78.2%), with fewer patients receiving recommended high-intensity statin therapy (65.5%) or beta-blockers (69.1%). Only 38.2% of patients had their left ventricular ejection fraction documented. Among those with documented left ventricular systolic dysfunction, 75% were prescribed an angiotensin-converting enzyme inhibitor or an angiotensin receptor blocker at discharge. No cardiac rehabilitation program existed. Risk stratification of patients with non-ST-elevation myocardial infarction or stress tests for conservatively managed patients was not part of routine practice.
Conclusion
Acute coronary syndrome management remains a challenging issue in Northern Ghana. Several gaps exist in the care quality, timeliness of interventions and rehabilitation of affected patients. There is an urgent need for measures to improve the delivery of acute coronary syndrome care alongside primary prevention strategies.
Construction of a Prognostic DNA Damage Repair Gene-related LncRNA Signature by Integrated Analysis of Bulk- and Single-cell RNA Sequencing Data in Lung Adenocarcinoma
Authors: Yu Lan , Xu Yan , Liu Li , Wang Yu , Zhang Hongmei , Li Jinyin , Liu Liancheng , Zhang Xiaotao
Published: July 2023

Despite the development of technology, the prognosis of patients with lung adenocarcinoma (LUAD) has not improved. Therefore, we sought to investigate the potential clinical utility of a risk prognosis model in prognostic stratification. For this purpose, DNA damage repair gene-related (DDRG-related) long noncoding RNAs (lncRNAs) were screened based on a single-cell RNA transcriptome to construct such a model. A total of 510 LUAD samples were selected from The Cancer Genome Atlas-LUAD (TCGA-LUAD) dataset. Samples were divided into two immune subtypes (S1 and S2) after calculating the stromal score, immune score, tumor purity, and immune infiltration in each TCGA-LUAD cohort based on the Estimation of Stromal and Immune cells in MAlignant Tumour tissues using Expression data (ESTIMATE) and the NbClust package. Subsequently, DDRG-related lncRNAs were selected by single-cell data analysis combined with bulk sequencing. Next, DDRG-related lncRNAs were screened through the least absolute shrinkage and selection operator, as well as univariate and multivariate Cox regression analyses to develop a precise DDRG-related-lncRNA prognosis risk model. The functions of the target genes of these lncRNAs were described by the Gene Ontology (GO) enrichment analysis. The prognostic capability of the model was tested by analyzing the expression data of LUAD samples downloaded from the Gene Expression Omnibus database. The correlations between tumor mutational burden, N6-methyladenosine (m6A) gene expression, risk score, and immune score were analyzed. A seven DDRG-related lncRNAs risk prognosis model was established. Based on the model, the TCGA-LUAD cohorts and testing sets were classified into low- and high-risk groups. The former group had better overall survival versus the latter group. In addition, a nomogram based on the risk score and clinical stage showed good calibration and moderate discriminative ability. Using single-cell transcriptome datasets, we constructed and verified a useful DDRG-related-lncRNA risk prognosis model for prognostic stratification in LUAD.
Advanced antimicrobial PCL/clay nanocomposite films: preparation, characterization, properties and degradation in simulated body fluid
Authors: Holešová Sylva , Barabaszová Karla Čech , Hundáková Marianna , Kratošová Gabriela , Joszko Kamil
Published: July 2023

Even though the biodegradability of polycaprolactone (PCL) and its nanocomposites is lower compared to other biodegradable polyesters, this property and its good biocompatibility are used in the development of materials for the drug delivery with a long-term effect. Thus, we prepared novel PCL/clay nanocomposite films with antimicrobials chlorhexidine diacetate (CH) or octenidine dihydrochloride (OCT) in combination with zinc oxide (ZnO), all anchored on vermiculite (VER). The structure of the prepared nanofillers for the PCL films was characterized by X-ray diffraction, Fourier transform infrared spectroscopy, scanning electron microscopy and particle size analysis. Based on these methods, the intercalation of the CH and OCT into the interlayer of VER/ZnOVER was confirmed as well as the increase in particle size and formation of new fraction. Compared to VER, the resulting nanofillers showed a positive ζ-potential indicating a relatively stable material, but in the case of ZnOVER_OCT, its value dropped too much, which was confirmed by strong agglomeration of particles. Thin PCL/clay nanocomposite films were prepared by solvent casting and evaporation method and the effect of used nanofillers on structural, thermal, mechanical and antimicrobial properties followed by degradation tests under hydrolytic conditions was studied. The results showed that presence of ZnO significantly decreases thermal and mechanical stability. The nanofillers with the higher hydrophilic character are responsible for the fastest degradation of the PCL matrix. All films possessed high antimicrobial efficiency in long time intervals, hence, these nanocomposites open new avenues for the possible application of such materials for the delivery of drugs with a long-term effect.
Enhanced Tumor Targeting of Radiolabeled Mouse/Human Chimeric Anti-Tn Antibody in Losartan-Treated Mice Bearing Tn-Expressing Lung Tumors
Authors: Tassano Marcos , Camacho Ximena , Freire Teresa , Perroni Carolina , Costa Valeria da , Cabrera Mirel , García Maria Fernanda , Fernandez Marcelo , Gambini Juan Pablo , Cabral Pablo , Osinaga Eduardo
Published: July 2023

ChiTn, a mouse/human chimeric anti-Tn monoclonal antibody, was radiolabeled with iodine-131 (131I) and technetium-99m (99mTc) to assess its biodistribution and internalization in Tn-expressing (Tn+) and wild-type (Tn-) LL/2 lung cancer cells. Selective accumulation and gradual internalization of ChiTn were observed in Tn + cells. Biodistribution in mice with both Tn + or Tn- lung tumors indicated that the uptake of radiolabeled ChiTn within tumors increased over time. Dual-labeling experiments with 99mTc and 131I showed different biodistribution patterns, with 99mTc exhibiting higher values in the liver, spleen, and kidneys, while 131I showed higher uptake in the thyroid and stomach. However, tumor uptake did not significantly differ between Tn + and Tn- tumors. To improve tumor targeting, Losartan, an antihypertensive drug known to enhance tumor perfusion and drug delivery, was investigated. Biodistribution studies in Losartan-treated mice revealed significantly higher radiolabeled ChiTn uptake in Tn + tumors. No significant changes were observed in the uptake of the control molecule IgG-HYNIC-99mTc. These findings demonstrate the enhanced tumor targeting of radiolabeled ChiTn in Losartan-treated mice with Tn-expressing lung tumors. They highlight the potential of ChiTn as a theranostic agent for cancer treatment and emphasize the importance of Losartan as an adjunctive treatment to improve tumor perfusion and drug delivery.
Nurse contact in patients with home telemetry and association with 30-day hospital readmissions: Subgroup analysis of a randomized controlled trial
Authors: Dawson Nancy L. , Coombs Shannon S. , Haga Claire B. , Hedges Mary S. , Prier Cara C. , Walker Ashley L. , Ball Colleen , Yin Mingyuan , McManus Melinda S. , Tolaymat Leila M.
Published: July 2023

Background: Home telemonitoring has been shown to reduce 30-day readmissions patients at high risk for return to the hospital. The reason for this remains unclear. The aim of this study was to explore the association of nurse contact with 30-day hospital readmission in these high risk patients.
Methods: This study was a subgroup analysis from a prior randomized control comparing home telemonitoring for readmission for 30 days to usual care at discharge. Patients randomized to the home telemonitoring who had vital signs outside a preset range, triggered an alert flag for the monitoring nurse, which generated a contact to the patient. We compared patients who had at least one nurse contact to those who had none to see if the contact reduced the rate of readmissions in patients being monitored.
Results: Of 449 patients, 292 (65.0%) received 1 or more telemonitoring flags. Single variable and multivariable logistic regression models exploring the association of flag type with hospital 30-day readmission did not find any statistically significant associations of telemonitoring flags with hospital 30-day readmission (all unadjusted P≥0.13, all adjusted P≥0.18).
Conclusion: While post-hospitalization home telemetry has been shown to reduce 30-day readmission, our subset analysis did not show that the nurse contact was the factor that reduced readmission in these patients.
Trial registration: ClinicalTrials.gov identifier: NCT02136186, registration date May 12, 2014.
Optimal Routing and Charging Strategy of Electric Vehicles Based on Traffic Flow Prediction
Authors: Wang Yang , Li Bin , Zhao Zhenghui , Bao Jinhao , Wang Xianan
Published: July 2023

With the increasing number of electric vehicles (EVs) in recent years, road congestion is becoming a common phenomenon, which not only prolongs travel time but also causes anxiety for EV users. Therefore, this paper proposes a time-varying shortest path search method for traffic flow (TF) and establishes an EV route planning model based on this method to plan the optimal path for users. Firstly, a convolutional neural network (CNN) is used to predict TF and a new queuing model is established to calculate the charging queuing time. Then, a path planning model considering mid-way charging is established based on the predicted TF data and charging queuing model. Finally, the performance of the proposed method is tested using road network maps of different scales, and a case study on the optimal path of EV with mid-way charging under the minimum objective function is conducted based on a real traffic network. The results show that the proposed time-varying shortest path search method under the TF network can quickly calculate the optimal path and has great potential for solving practical problems.
A Study on Analysis of Functional Outcome of Percutaneous Release in Trigger Finger Under Ultrasound Guidance -A Novel Technique – At a Tertiary Care Hospital (Prospective Study)
Authors: .S Chandan.S CHANDAN , BASHA AM ILIAS BASHA AM ILIAS
Published: July 2023

BACKGROUND: Trigger finger is a condition that causes painful catching or popping of the involved flexor tendon as the patient flexes and extends the fingers. This condition is also known as “stenosing tenosynovitis.” Trigger finger is one of the most common pathologic conditions in hand surgery, with incidence rates of 2.2% throughout life time in the non-diabetic population more than 30 years and 10% in the diabetes mellitus populations.
MATERIAL AND METHODS: This is a prospective study of 60 cases of trigger finger who attended outpatient department of Kurnool medical college who were treated with percutaneous release of trigger finger under ultrasound guidance between November 2021 to January 2023.
RESULTS:Out of 60 patients, among the age group of 30-80 mean age was 62.33 years. Thirty eight (68.3%) were Male and twenty two (36.6%) were females. Thirty two (53.3%) were right side and twenty eight (46.6%) were left sided. There were eighteen (30%) thumbs, six (10%) index finger, two (3.3%) middle finger and thirty four(56.6%) ring fingers affected. Forty eight (80%) had Froimson grade 2 and twelve (20%) grade 3 cases. In our study mean preoperative DASH score was 24.99 and postoperative mean DASH score was 3.99. According to QUINNELLS grading 58 (96.66%) had excellent and 2 patients had good outcome and none of the patients had poor outcome in our study.
CONCLUSION: Percutaneous release of first annular pulley under ultrasound guidance (A1 pulley) is a safe, pain free, effective and outpatient procedure for patients with Trigger finger. It is a better alternative to open surgical procedure and can be considered as primary definitive treatment option for trigger finger.
Hyperspectral Image Classification Based on 3D-2D Hybrid Convolution and Graph Attention Mechanism
Authors: Zhang Hui , Tu Kaiping , Lv Huanhuan , Wang Ruiqin
Published: July 2023

Convolutional neural networks and graph convolutional neural networks are two classical deep learning models that have been widely used in hyperspectral image classification tasks with remarkable achievements. However, hyperspectral image classification models based on graph convolutional neural networks using only shallow spectral or spatial features are insufficient to provide reliable similarity measures for constructing graph structures, limiting their classification performance. To address this problem, we propose a hyperspectral image classification model combining 3D-2D hybrid convolution and a graph attention mechanism. First, a 3D-2D hybrid convolutional network is constructed and used to rapidly extract deep features that express spatial and spectral associations. Then, the graph is built based on deep spatial-spectral features to enhance the feature representation of the graph. Finally, a network of graph attention mechanisms is adopted to learn long-range spatial connections and to classify them using the extracted spatial features. The experimental results on two datasets, Indian Pine and the University of Pavia, show that the proposed method can achieve higher classification accuracy compared with other advanced methods.
Orbital Dynamics of Smart Dust with Poynting-Robertson and Solar Wind Drag
Authors: Vadlamani Vinayak , Gurfil Pini
Published: July 2023

Smart dust devices are tiny systems-on-a-chip platforms capable of sensing, storing and transmitting data wirelessly as part of a large network with distributed capabilities. Previous works investigated the long-term orbital evolution of smart dust in space by studying the combined effect of gravitational perturbations, solar radiation pressure (SRP), and atmospheric drag. In the current work, the problem of finding long-term orbital equilibria conditions for smart dust is recast and extended to include Poynting-Robertson and Solar Wind (PRSW) drag. By including the PRSW effects and defining new equilibrium conditions on the orbital orientation, some additional partial equilibrium solutions are found. Moreover, it is shown that even though PRSW is not dominant compared to SRP or $J_2$, it still influences the evolution of the relative Sun-orbit orientation. For orbits with higher initial perigee altitudes, where drag and $J_2$ effects subside, it is shown that PRSW influences long-term orbital behaviour, and should be considered in the orbit design scheme of smart dust devices.
Exploring the Complex Landscape of Electric Vehicle Adoption: Understanding Incentives and Overcoming Barriers for Sustainable Transportation in the US
Authors: Javadnejad Farshid , Jahanbakh Mohammad , Pinto Cesar Ariel , Saeidi Azita
Published: July 2023

The adoption of electric vehicles (EVs) is influenced by a range of incentives and barriers. EVs offer benefits such as reduced emissions and lower costs but face challenges in gaining widespread acceptance. Government subsidies, tax credits, and EV charging infrastructure have played a pivotal role in driving EV adoption, making them more financially attractive and convenient. However, barriers such as high upfront costs, limited driving range, insufficient charging infrastructure, and consumer concerns about battery life and availability have hindered broader uptake. This study presents a novel approach that considers both incentives and barriers to summarize the factors influencing EV development in the US. Through a comprehensive literature review, we explore the various barriers and incentives that affect EV deployment. Using an advanced fishbone diagram, we categorize the factors into economic and market, technical, policy, and social categories, providing a better understanding of their interrelationships. We discuss critical incentives and barriers within each category, offering a detailed analysis of their impact on EV adoption. Additionally, we present the results of a quantitative analysis of selected factors by examining their correlations with EV sales. This research provides a comprehensive understanding of the incentives and barriers to EV development in the US, assisting policymakers and stakeholders in developing effective strategies and initiatives for promoting EV adoption and achieving a cleaner and more sustainable future.
Role of Deep Learning in Healthcare Industry: Limitations, Challenges and Future Scope
Authors: Singh Mandeep , Gupta Megha , Sharma Anupam , Jain Parita , Aggarwal Puneet Kumar
Published: July 2023

Nowadays, the acquisition of different deep learning (DL) algorithms is becoming an advantage in the healthcare sector. Algorithms like CNN (Convolution Neural Network) are used to detect diseases and classify the images of various disease abnormalities. It has been proven that CNN shows high performance in the classification of diseases, so deep learning can remove doubts that occur in the healthcare sector. DL is also used in the reconstruction of various medical diagnoses images like Computed Tomography and Magnetic Resonance Imaging. CNN is used to map input image data to reference image data, and this process is known as the registration of images using deep learning. DL is used to extract secrets in the healthcare sector. CNN has many hidden layers in the network so that prediction and analysis can be made accurately. Deep learning has many applications in the healthcare system, like the detection of cancer, gene selection, tumor detection, recognition of human activities, the outbreak of infectious diseases, etc. DL has become famous in the field of healthcare due to its open data source. In the case of the small dataset, CNN becomes an advantage as it does not provide an excellent way to statistical importance. Deep Learning is a technique that includes the basis of ANN (Artificial neural networks), appears as a robust tool for machine learning, and encourages recasting artificial intelligence. Deep learning architecture has more than two hidden layers, as in ANN; it is only one or two. Therefore, this chapter represents a survey of the role of deep learning in the healthcare industry with its challenges and future scope.
Brain Tumor Detection Based on Different Deep Neural Networks - A Comparison Study
Authors: Gaikwad Shrividhiya , Seshagiribabu Srujana Kanchisamudram , Kashyap Sukruta Nagraj , Gururaj Chitrapadi , Seshagiribabu Induja Kanchisamudram
Published: July 2023

Glioblastoma, better known as Brain cancer, is an aggressive type of cancer that is fatal. Biomedical imaging technology now plays a prominent part in the diagnosis of cancer. Magnetic resonance imaging (MRI) is among the most efficient methods for detecting and locating brain tumors. Examining these images involves domain knowledge and is prone to human error. As computer-aided diagnosis is not widely used, this is one attempt to develop different models to detect brain tumors from the MRI image. In this chapter, we have carried out a comparison between three different architectures of Convolutional Neural Networks (CNN), VGG16, and ResNet50, and visually represented the result to the users using a GUI. Users can upload their MRI scans and check the tumor region if they have been diagnosed with cancer. Initially, pre-processed data is taken as input, and the features are extracted based on different model approaches. Lastly, the Softmax function is used for the binary classification of the tumor. To further validate the methodology, parameters like Accuracy, Recall, Precision, Sensitivity, Specificity, and f1 score are calculated. We have observed up to 86% of accuracy in the CNN model, whereas VGG16 and ResNet50 had an accuracy of 100% for our test dataset and 96% for our validation dataset.
Web-Based Survey Piloting Process as a Model for Developing and Testing Past Contraceptive Use and Pregnancy History: Cystic Fibrosis Case Study
Authors: Godfrey Emily M , Schwartz Malaika  R , Stukovsky Karen D Hinckley , Woodward Danielle , Magaret Amalia S , Aitken Moira L
Published: July 2023

Background

Individuals with complex, chronic diseases are now living longer, making reproductive health an important topic to address in the health care setting. Self-respondent surveys are a feasible way to collect past contraceptive use and pregnancy history to assess contraceptive safety and effectiveness. Because sensitive topics, such as contraception and pregnancy outcomes, can vary across social groups or cultures, piloting questions and evaluating survey administration procedures in the target population are necessary for precise and reliable responses before wide distribution.

Objective

This study aimed to develop a precise and reliable survey instrument and related procedures among individuals with cystic fibrosis regarding contraceptive use and obstetrical history.

Methods

We piloted and tested web-based questions related to contraceptive use and pregnancy history among 50 participants with and those without cystic fibrosis aged 18 to 45 years using a 3-tier process. Findings from each tier informed changes to the questionnaire before testing in the subsequent tier. Tier 1 used cognitive pretesting to assess question understanding and the need for memory prompts. In tier 2, we used test-retest self- and interviewer-administered approaches to assess question reliability, evaluate response missingness, and determine confidence between 2 types of survey administration approaches. In tier 3, we tested the questionnaire for clarity, time to complete, and whether additional prompts were necessary.

Results

In tier 1, respondents suggested improvements to the web-based survey questions and to the written and visual prompts for better recall regarding past contraceptive use. In tier 2, the test-retest reliability between self- and interviewer-administrative procedures of “ever use” contraceptive method questions was similar, with percent absolute agreement ranging between 84% and 100%. When the survey was self-administered, the percentage of missing responses was higher and respondent confidence about month and year when contraceptive methods were used was lower. Most respondents reported that they preferred the self-administered survey because it was more convenient and faster to complete.

Conclusions

Our 3-tier process to pilot web-based survey questions related to contraceptive and obstetrical history in our complex disease population helped us tailor content and format questions before wide dissemination to our target population. Results from this pilot study informed the subsequent larger study design to include a 10% respondent test-retest self- and interviewer-administered quality control component to better inform imputation procedures of missing data.
Completion of the Transfer of the Online Journal of Public Health Informatics (OJPHI) to JMIR Publications (Preprint)
Authors: Mensah Edward
Published: July 2023

UNSTRUCTURED

Founded in 2009, the Online Journal of Public Health Informatics (OJPHI) strives to provide an unparalleled experience as the platform of choice to advance public and population health informatics. As a premier peer-reviewed journal in this field, OJPHI’s mission is to serve as an advocate for the discipline through the dissemination of public health informatics research results and best practices among practitioners, researchers, policymakers, and educators. However, in the current environment, running an independent open access journal has not been without challenges. Judging from the low geographic spread of our current stakeholders, the overreliance on a small volunteer management staff, the limited scope of topics published by the journal, and the long article turnaround time, it is obvious that OJPHI requires a change in direction in order to fully achieve its mission. Fortunately, our new publisher JMIR Publications is the leading brand in this field, with a portfolio of top peer-reviewed journals covering innovation, technology, digital medicine and health services research in the internet age. Under the leadership of JMIR Publications, OJPHI plans to expand its scope to include new topics such as precision public health informatics, the use of artificial intelligence and machine learning in public health research and practice, and infodemiology in public health informatics.
PENGARUH MASA PERIKATAN AUDIT, UKURAN KAP, DAN INDEPENDENSI AUDITOR TERHADAP PEMBERIAN OPINI AUDIT GOING CONCERN (STUDI PADA PERUSAHAAN PERTAMBANGAN YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2016-2019)
Authors: Rahmat Dede , Hizazi Achmad , Yustien Reni
Published: July 2023

Penelitian ini bertujuan untuk mengetahui pengaruh variabel periode perikatan audit, ukuran KAP, dan auditor independen terhadap pemberian opini audit going concern. Subyek yang diteliti dalam penelitian ini adalah perusahaan pertambangan yang terdaftar di Bursa Efek Indonesia tahun 2016-2019. Teknik pengambilan sampel yang digunakan adalah purposive sampling dan diperoleh 33 perusahaan sebagai sampel dari total populasi 49 perusahaan. Periode pengamatan dalam penelitian ini adalah selama 4 tahun, dari tahun 2016-2019 sehingga diperoleh total 132 data. Pengolahan data menggunakan software SPSS 26.0. Alat analisis yang digunakan adalah analisis regresi logistik. Hasil pemeriksa menunjukkan bahwa variabel periode perikatan audit, ukuran KAP, dan auditor independen secara simultan berpengaruh terhadap pemberian opini audit going concern. Secara parsial, penelitian ini membuktikan bahwa periode perikatan audit dan auditor independen tidak berpengaruh terhadap pemberian opini audit going concern, sedangkan ukuran KAP berpengaruh terhadap pemberian opini audit going concern.
Customers’ perception of telecommunication businesses: Non-financial performance measures in organizational success
Authors: Dahal Rewan Kumar , Rai Bharat , Shahi Bhupendra Jung , Ghimire Binod
Published: July 2023

Performance measures drive an organization’s success. The measures improve strategic communication with stakeholders. Based on customer survey data, this study aimed to examine the association between the use of non-financial performance measures (NPMs) and organizational success (OS) in the Nepalese telecommunication business. The study used a descriptive strategy and a structured survey questionnaire to collect data from the targeted respondents. It gathered 385 responses based on the convenience sampling technique. The questionnaire contained two items relating to the respondent’s demographics, 19 items relating to NPMs, and seven items on organizational success. The NPMs were grouped into three constructs by employing confirmatory factor analysis. The analysis indicated that the technological and innovation performance measures had the most significant contribution, followed by the social and environmental performance measures and the customers’ performance measures to the organizational success. The study found that NPMs explained 62.9% of telecommunication business’s success, indicating more reliance on NPMs increases performance and success. Such findings would provide crucial information for comprehending the NPMs and validate Adhikari and Chalise’s (2021) conclusions that the performance evaluation system for the Nepalese telecommunications business has changed to reflect strategic goals by adding NPMs.
THE EFFECT OF PRODUCT QUALITY AND BRAND IMAGE ON THE PURCHASE DECISION OF MS.GLOW SKINCARE PRODUCTS THROUGH PURCHASE INTEREST AS A MEDIATION VARIABLE IN USERS OF MS.GLOW SKINCARE PRODUCTS IN TERNATE
Authors: Fadila Ahmad  , Ida Hidayanti  , Johan Fahri
Published: July 2023

This study aims to determine the effect of product quality and brand image on purchasing decisions through buying interest. This research was a quantitative research. The population in this study were consumers using skincare ms.glow products in Ternate with the sampling method, namely Non-Probability Sampling with a purposive sampling approach. The data analysis technique was path modeling analysis using Smart Partial Least Square (PLS) version 3 as a statistical test tool. The results of this study indicate that product quality has a significant effect on purchasing decisions, brand image has no significant effect on purchasing decisions, product quality has a significant effect on buying interest, brand image has a significant effect on buying interest, buying interest has a significant effect on purchasing decisions, product quality has a significant effect on purchasing decisions through buying interest, and brand image has a significant effect on purchasing decisions through buying interest.
Evaluating the performance of instream structures for a stream restoration project in Colorado
Authors: Richer Eric , Graf Sam , Kondratieff Matt
Published: July 2023

Metals pollution and channel disturbance associated with historical
mining, land use, and water development degraded aquatic and riparian
habitat along the upper Arkansas River near Leadville, Colorado. Stream
restoration was conducted for an 8 km reach to improve aquatic habitat
and increase trout populations. Instream structures were prescribed to
stabilize streambanks, create diverse stream morphology, and provide
overhead cover, refuge, spawning, and overwinter habitat for trout. At
least 90% of all structures were expected to be stable and functional
three years after implementation. The objectives of this study were to
investigate structure performance by (1) evaluating the integrity and
function of instream structures and (2) evaluating the change in
residual pool depths (RPD). Annual surveys utilized a rapid assessment
procedure to qualitatively rank integrity, erosion, and deposition at
each structure (n = 137). Rankings were investigated with ordinal
regression to determine if performance varied by structure type and
year. Longitudinal profile surveys were conducted annually and used to
estimate RPD for 86 pools. The change in RPD was investigated with
repeated measures ANOVA to determine if RPD varied between structure
types and changed over time. Results suggest that some structures were
more prone to failure, with higher rankings observed for boulder toe,
log vanes, log toe, and boulder vanes. Pool depths increased during
construction, decreased following the first runoff, and then remained
relatively stable in subsequent years. Understanding the performance of
instream structures from this case study will help inform the design,
evaluation, and expectations for future stream restoration projects.
The absolute δ 18 O value for SLAP with respect to VSMOW reveals a much lower value.
Authors: Aerts-Bijma Anita , Buuren Albert C. van , Paul Dipayan , Meijer Harro
Published: July 2023

RATIONALE: SLAP is one of the two calibration materials for the
isotopic water scale. By consensus the established δO value is -55.5‰, although there are firm
indications that δO is
significantly more negative. The real δO
value as such does not influence the isotopic water
scale, however knowledge of the size of isotopic scale contraction in
stable isotope measurements is vital for second order isotopes. In this
study quantification of δO
with respect to δO
is described. METHODS: SLAP-like water
was quantitatively mixed with highly O enriched
water to mimic VSMOW. The O concentration was
determined using an electron ionization quadrupole mass spectrometer.
The isotopic composition of the SLAP-like and VSMOW-like waters were
measured with an optical spectrometer, alongside real VSMOW and SLAP.
RESULTS: This study resulted in a much more depleted δO value for SLAP than expected. The averaged outcome
of 7 independent experiments is δO
-56.33 ± 0.03‰. There is a large discrepancy
between the actual isotopic measurements of even the most carefully
operating groups and the true δO value.
CONCLUSIONS: Although this finding as such does not influence
the use of the VSMOW-SLAP scale, it raises the intriguing question what
we actually measure with our instruments, and why even a fully corrected
measurement can be so far off. Our result has consequences for issues
like the transfer of δO from and to the VPDB
scale, various fractionation factors, and the ΔO. The absolute O abundance for
SLAP was determined at 1.88798 (43) x 10 based on
the absolute O abundance of VSMOW and the presented
δO in this paper.
A late spontaneous peripherally inserted central catheter migration: two cases series
Authors:   Anesthesia, Resuscitation and Pain Therapy Unit, ‘‘D. Camberlingo’’ Hospital, Francavilla Fontana (BR), Italy, Caramia Remo , Recchia Nicola ,   "Radiology Unit, ‘‘D. Camberlingo’’ Hospital, Francavilla Fontana (BR), Italy", Santoro Silvia ,   "Radiology Unit, ‘‘D. Camberlingo’’ Hospital, Francavilla Fontana (BR), Italy"
Published: July 2023

A central venous catheter is a flexible catheter that is inserted into a vein and ends close to the superior vena cava. It may be inserted through a vein in the neck, chest, or arm. It’s also called a central venous line or central line. Peripherally inserted central venous catheters (PICCs) are usually implanted in arm veins such as the basilic vein, the brachial veins or in some cases in the cephalic vein. PICCs can remain in place for up to six months or more. If properly managed, they last even more than a year. PICCs offer the advantage of greater safety for infusion of vesicants/irritants and hyperosmolar solutions and enable the administration of antibiotics, prolonged parenteral nutrition, and chemotherapy agents. They are however, associated with some adverse events such as spontaneous late migration. The reasons for these complications are not yet fully understood. There are now established causes and in some cases hypotheses to explain these phenomena. We describe two clinical cases in which apparently correctly positioned PICCs migrated spontaneously from their original position. The identification of the migration of the vascular catheter was accidental in the two patients, and they did not developed complications. One of the two patients had a pacemaker. The remote migration of a PICC is an event that can occur, and the causes are not definitively clarified in all cases.
Innovative Management Strategies for the Rule of Law of Cross-border Mobile Population Based on Information Fusion Technology
Authors: Wu Lixia
Published: July 2023

In the context of continuous globalization, how to put the cross-border mobile population under the rule of law for innovative management, it is a much-needed pathway to find in today’s society. This paper proposes to improve the legislation, establish a data platform, management strategies for creating bilateral educational cooperation models. Information fusion using maximum likelihood and least squares methods, collating and analyzing data from multiple sources, innovative governance strategies for cross-border mobile populations. To improve the social integration of cross-border mobile populations at the level of social integration, social recognition, etc. Safeguard social stability at the border. For example, the creation of a bilateral educational cooperation model, it has been proved by experimental results that education helps to improve the local living conditions of cross-border mobile populations. If more education could be made available to the mobile, would allow for broader career options for cross-border mobile populations, increase their social inclusion level by 9 percent, and increase their intention to stay locally by 0.9 percentage points. Provides a good internal environment for its integration, enhancing the stability of cross-border mobile population migration, it is of great significance to the social stability of the border area.
Combining big data for college students’ network ideological and political innovation education
Authors: Ban Ruijun
Published: July 2023

Do a good job in the way of college students’ network political innovation based on big data thinking, so that it can play a stronger advantage and energy in college education. Carrying out innovative exploration of college students’ curriculum education based on big data thinking can continuously deepen the theoretical research significance of Internet political education. It can also put forward suggestions for better practice of network ideological and political education in colleges and universities, which has the dual significance of theoretical construction and practical guidance. Therefore, the MCA-sampling model is designed in this paper. According to the calculation of the sampling model, the opportunity for online ideological and political data literacy is 11%, and the challenge is 89%. This is because any flaws at any level will bring a severe test to the calculation of the effectiveness of online political teaching methods for students, which greatly increases the difficulty of online political educators. Through the horizontal comparison, it can be seen that the acceptance theory focusing on “receiver-centered” is the most innovative. Its innovativeness is 83%. The probability of timely method innovation is as high as 89%. The most unstable aspect of innovation probability is the root cause. Its probability of innovation is at least 24%.
Tool wear prediction method based on the SVM-Clara model
Authors: Yang Yi , Sun Liang
Published: July 2023

To reduce the damage of mechanical parts during machining, a tool wear prediction method based on the SVM-Clara model is proposed. By analyzing the support vector machine (SVM) and Clara algorithm, using regular prediction data or unobservable data, the average dissimilarity of all objects is concentrated, and the characteristics of the overall data are accurately represented. Randomly select data samples from the overall data samples according to a certain proportion, and standardize them to improve the clustering quality. Find the best objective function to minimize the damage function and make the predicted value closer to the actual value. Through experiments, it is proved that the method in this paper can accurately predict the tool wear condition, the mean square error value is 0.03, the prediction method is better, and the production efficiency is ensured.