bluuebunny/crossref_metadata_2025 huggingface dataset:
Dual Versus Single Plate Fixation of Displaced Midshaft Clavicle Fractures
Authors: Charles Shaquille J.-C , Kumar Praveen , Reddy Rajiv P. , Cong Ting , Chen Stephen , Mittwede Peter , Moloney Gele , Siska Peter , Lin Albert
Published: October 2023

Background:

Prior studies have highlighted lower rates of reoperation if fixation of a displaced midshaft clavicle fracture is performed with dual plating (DP) compared with single plating (SP). Despite higher initial costs associated with the DP construct, the observed reduction in secondary surgeries compared with the SP construct may make it a more cost-effective treatment option. The objective of this study was to assess the cost-effectiveness of DP compared with SP in patients with operatively indicated displaced midshaft clavicle fractures.

Methods:

We developed a decision tree to model the occurrence of postoperative complications (acute hardware complications, wound healing issues, deep infection, nonunion, and symptomatic hardware) associated with secondary surgeries. Complication-specific risk estimates were pooled for both plating techniques using the available literature. The time horizon was 2 years, and the analysis was conducted from the health-care payer’s perspective. The costs were estimated using direct medical costs, and the benefits were measured in quality-adjusted life-years (QALYs). We assumed that DP would be $300 more expensive than SP initially. We conducted probabilistic and 1-way sensitivity analyses.

Results:

The model predicted reoperation in 6% of patients in the DP arm compared with 14% of patients in the SP arm. In the base case analysis, DP increased QALYs by 0.005 and costs by $71 per patient, yielding an incremental cost-effectiveness ratio (ICER) of $13,242 per QALY gained. The sensitivity analysis demonstrated that the cost-effectiveness of DP was driven by the cost of the index surgery, risk of symptomatic hardware, and nonunion complications with SP and DP. At a willingness-to-pay threshold of $100,000 per QALY gained, 95% of simulations suggested that DP was cost-effective compared with SP.

Conclusions:

When indicated, operative management of displaced midshaft clavicle fractures using DP was found to be cost-effective compared with SP. Despite its higher initial hardware costs, DP fixation appears to offset its added costs with greater health utility via lower rates of reoperation and improved patient quality of life.

Level of Evidence:

Economic and Decision Analysis Level II. See Instructions for Authors for a complete description of levels of evidence.
Management of Scaphotrapeziotrapezoid Osteoarthritis
Authors: Alder Kareme D. , Feroe Aliya G. , Karim Kristin E.
Published: October 2023

» The scaphotrapeziotrapezoid (STT) joint is a common location of degenerative osteoarthritis (OA) in the wrist.

» STT OA may occur in isolation or with concomitant thumb carpometacarpal joint (CMCJ) OA or scapholunate advanced collapse (SLAC) and other wrist OA patterns.

» Nonoperative management strategies include activity modification, bracing, anti-inflammatory medications, occupational therapy, and injections.

» Surgical treatment may be determined by whether the STT OA occurs in isolation or with concomitant thumb CMCJ or SLAC OA and includes STT arthrodesis, distal scaphoid excision with or without interposition or implant arthroplasty, trapeziectomy with proximal trapezoid excision, four-corner fusion in combination with scaphoid/radial column excision, and proximal row carpectomy.
Shale Gas Production Forecasting with Well Interference Based on Spatial-Temporal Graph Convolutional Network
Authors: Xu Ziming , Leung Juliana Y.
Published: October 2023

One of the core assumptions of most deep learning-based data-driven models is that samples are independent. However, this assumption poses a key challenge in production forecasting - performance is influenced by well interference and reservoir connectivity. Most shale gas wells are hydraulically fractured and exist in complex fracture systems, and the neighbouring well characteristics should also be considered when constructing data-driven forecast models. Researchers have explored using the Graph Convolutional Network (GCN) to address this issue by incorporating neighbouring well characteristics into production forecasting models. However, applying GCN to field-scale studies is problematic, as it requires training on a full batch, leading to gigantic cache allocation. Additionally, the transductive nature of GCN poses challenges for direct generalization to unseen nodes. To overcome these limitations, we adopt the Graph Sampling and Aggregation (GraphSAGE) network architecture, which allows training large graphs with mini-batches and generalizing predictions for previously unseen nodes. By cooperating with the Gated Recurrent Unit (GRU) network, the proposed Spatial-Temporal (ST)- GraphSAGE model can capture cross-time relationships between the target and the neighbouring wells and generate promising prediction time series for the target wells, even if they are newly drilled wells.

The data set is based on field data corresponding to 2,240 Montney shale gas wells and consists of formation properties, fracture parameters, production history and operational data. The algorithm aggregates the first-hop information to the target node for each timestep. The Encoder-Decoder (ED) architecture is employed to generate forecasts for the subsequent three-year production rate by using the one-year production history of the wells. The trained model enables the evaluation of production predictions for newly developed wells at any location. We evaluate the model's performance using P10, P50, and P90 of the test dataset's Root Mean Square Error (RMSE). Our method preserves the topological characteristics of wells and generalizes the prediction to unseen nodes while significantly reducing training complexity, making it applicable to larger oil/gas fields. By incorporating information from adjacent wells and integrating spatial-temporal data, our ST-GraphSAGE model outperforms the traditional GRU-ED model and shows enhanced interpretability.
The Application of Artificial Intelligence Methods on the Optimizing Improvement Depth of Dynamic Compaction
Authors: Koohsari Hamid , Alielahi Hamid , Najafi Amir , Adampira Mohammad
Published: October 2023

Dynamic Compaction (DC) with tamping is one of the soil improvement methods and has been significantly accepted due to its advantages over other soil improvement methods. In this paper, an attempt has been made to use the fuzzy logic and Sugeno inference system to investigate the effect of the parameters involved in soil improvement operations using the DC method on the relative improvement depth. A correlation has been proposed to estimate the effective depth for the granular soils and compared to the fuzzy results. The Particle Swarm Optimization (PSO) algorithm has been used to achieve maximum improvement depth. The results indicate that the interaction between tamper weight and height of tamping plays the most important role in the design procedures. The results reveal that by using PSO, the maximum depth of improvement is increased by 33%. Studies show that the optimal tamper radius for most of the compaction patterns with medium to high applied energies is equal to 1.5 to 2 meters, the optimal numbers of drops are equal to 25, and the optimal grid spacing is equal to 6 to 7 meters. It should be noted that using PSO dynamic compaction pattern; the maximum improvement depth has been achieved.
Enhancing University Security: A Machine Learning and IoT Driven Face Recognition System for Surveillance and Attendance
Authors: GUDIKANDHULA NARASIMHA RAO , Kondapalli Beulah , Acharyulu M.L.N. , Sameeri Mamillapalli , Supradeep Danturti , Yaswanth Yalamarthy
Published: October 2023

Convolution Neural Networks (CNN) doesn't need any techniques to implement feature selection, extraction and learns the data based on the optimizer, layers, increasing or decreasing learning rate. For design of face recognition model we can directly use detection model Convolution Neural Networks (provided by GPU) pre-trained or HOG for faster results without any training. The images in the dataset are cropped based on the region of interest where the image gets saved only if it detects eye and the embeddings. The dataset is then encoded into NumPy arrays and stored in a pickle file for prediction. The encodings are used to detect faces over image, a live video and over a video file. To train a network from scratch we need to train a lot of images so using a pre-trained model with fine tuned weights reduces training time and images are convoluted and trained as per the architecture. To run this prototype accurately we can use CNN as a detection model to recognize images as it are accurate in prediction. Design of the Face recognition system can also be done by model training. This technique helps us to increase data if required depending on performance or hyper parameter tuning to increase the efficiency of model accuracy. We used Support Vector Machine (SVM) algorithm where we have sent cropped raw images long with wavelet transformation to train the classifier. So that the model will learn the global features in the image and can accurately predict the outcome with the accuracy of 99.63%.
Design and Analysis of 3d Printed Functionally Graded Lattice Structures
Authors: Medisetty Raghu Nandhan , Darvekar Sanjay K.
Published: October 2023

Additive Manufacturing (AM) is a layer-by-layer fabrication method using 3D CAD designs. It has enabled the production of Lattice structures (arrangements of unit cells representing crystal lattices). Functionally Graded Lattice Structures (FGLS) with varying relative density for targeted properties are gaining research interest. This study explored mechanical properties such as strength, stress-strain relations, deformation behaviour, and energy absorption in lattice structures. CAD software Creo Parametric 9.0 was utilized to model five distinct 3D lattice designs employing novel approaches like different unit cells and pattern arrangements. Fifteen Lattice Structure Samples made of Nylon PA 2200 were fabricated through Selective Laser Sintering (SLS), and compression tests were conducted for experimental analysis. Numerical analysis was performed using ANSYS-19 software and results were compared with the experimental results. Distinct deformation behaviour was observed for FGLS compared to Uniform lattice structures (UB). Among all lattice structures, uniform and bidirectional graded lattice structures with strong middle layer exhibited the highest yield strength, while Variable Pattern FGLS displayed the lowest. Similarly, bidirectional graded lattice structure with weak middle layer showcased the best plateau region performance. Hybrid FGLS demonstrated the largest energy absorption, three times that of the variable pattern lattice structure. The results tabulated could be useful to guide future research and applications based on specific property requirements. This study showcases the potential of AM to create lattice structures with tailored mechanical properties, advancing their utilization in various industries.
Association of appendectomy for acute appendicitis in pregnancy with adverse obstetrical outcomes
Authors: Gan Ye-na , Wang Nan , Wang Yan , Li Nan
Published: October 2023

Background
Acute appendicitis (AA) in pregnancy is associated with miscarriage and preterm birth. Even if undergoing appendectomy, pregnant women still have a risk of miscarriage or preterm birth. The aim of this study was to assess the risk factors associated with miscarriage and preterm birth, as well as the impact of these risk factors on gestational age at delivery among patients who had confirmed AA and received appendectomy.
Methods
A single-center retrospective case‒control study was performed. Clinical information was documented, and relationships between variables and outcomes were assessed by univariate and multivariate logistic or linear regression analyses reaching a significance of p value < 0.05.
Results
A total of 91 pregnant women were included and were divided into miscarriage or preterm birth (n = 31) and term birth (n = 60) groups. There were no significant differences in the demographic characteristics of the studied population. Anorexia was an independent risk factor that was associated with miscarriage or preterm birth (OR 9.80, 95% CI 1.70-56.34). The time from symptom onset to appendectomy among patients with miscarriage or preterm birth was significantly longer than that among patients with term birth (OR 1.03, 95% CI 1.00-1.06), and they had a significantly earlier gestational age at delivery, with a difference of 1.68 weeks.
Conclusions
Appendectomy should be performed as soon as possible for pregnant women with highly suspected or confirmed AA. Delayed appendectomy and prolonged time from symptom onset to appendectomy increase the risk of miscarriage or preterm birth. Anorexia was another independent risk factor for miscarriage or preterm birth, which should be given due attention.
Trial registration
Retrospectively registered.
Divergent Suicidal Symptomatic Activations Converge on Somato-cognitive Action Network in Depression
Authors: Li Jiao , Wang Dajing , Xia Jie , Zhang Chao , Meng Yao , Xu Shuo , Chen Huafu , Liao Wei
Published: October 2023

Individuals with depression have the highest lifetime prevalence of suicide attempt (SA) among mental illnesses. Numerous neuroimaging studies have developed biomarkers from task-related neural activation in depressive patients with SA, but the findings are inconsistent. Empowered by the contemporary interconnected view of depression as a neural system disorder, we sought to identify a specific brain circuit utilizing published heterogeneous neural activations. We systematically reviewed all published cognitive and emotional task-related functional MRI studies that investigated differences in the location of neural activations between depressive patients with and without SA. We subsequently mapped underlying brain circuits functionally connected to each experimental activation using a large normative connectome database (n = 1 000). The identified SA-related functional network was compared with the network derived from the disease control group. Finally, we decoded this convergent functional network using microscale transcriptomic and chemo-architectures and macroscale psychological processes. We selected 11 experimental tasks from eight studies including depressive patients with SA (n = 147) and without SA (n = 196). The heterogeneous SA-related neural activations localized to the somato-cognitive action network (SCAN), exhibiting robustness to little perturbations and specificity to depression. Furthermore, the SA-related functional network colocalized with spatial expression of genes that are involved in inflammatory and immunity-related biological processes and aligned with the distribution of the GABA and noradrenaline neurotransmitter systems. The findings demonstrate that the SA-related functional network in depression predominantly involves the SCAN, which is robust and disease-specific, and have important implications for understanding depressive patients with SA.
Securing Interviews as an Underrepresented Applicant Post-USMLE Pass/Fail: A National Survey of Competitive Residency Directors
Authors: Kindler Rebecca , Kahn Julia , Uddin Anaz , Petersen Kristina H.
Published: October 2023

Background In January 2022, the United States Medical Licensing Examination (USMLE) changed Step-1 score reporting to pass/fail.Objective To report selection criteria important to residency program directors (PDs) and whether they believe pass/fail scoring will impact underrepresented in medicine (URM), international (IMG), or osteopathic (OG) residency applicants.Methods A Qualtrics survey was sent between August, 2022 – January, 2023 to 1,141 US PDs from specialties with traditionally low match rates: dermatology, ophthalmology, otolaryngology, orthopedic surgery, neurosurgery, interventional radiology, diagnostic radiology, radiation oncology, thoracic surgery, vascular surgery, plastic surgery, and urology. Contact information was obtained from AMA, FRIEDA, or program websites.Results We received 433 responses (38%). When asked to anticipate the difficulty student groups will face matching into their specialty, PDs reported: for URM, 24.0% increased, 46.0% unchanged, and 30.0% decreased, OG, 49.19% increased, 44.58% unchanged, and 6.23% decreased; for IMG, 56.35% increased, 39.72% unchanged, and 3.93% decreased. When asked to rank the most important selection factors, the top two responses were Step-2 CK score and away rotation participation at their site.Conclusion PDs overwhelmingly believed match difficulty would either increase or remain unchanged for OG (93.77%) and IMG (96.07%). In contrast, 76.0% reported difficulty for URM students would either decrease or remain unchanged. Paradoxically, PDs ranked Step-2 CK score and away rotation participation as the most important selection factors. Although the intention may be to dismantle barriers for URM applicants, enhanced emphasis on Step 2CK and away rotations place additional socioeconomic and standardized exam barriers.
Assessing the role of natural kelp forests in modifying seawater chemistry
Authors: Strain Elisabeth MA , Swearer Stephen E , Ambler India , Morris Rebecca L , Nickols Kerry J
Published: October 2023

Climate change is causing widespread impacts on seawater pH through ocean acidification (OA). Kelp forests, in some locations can buffer the effects of OA through photosynthesis. However, the factors influencing this variation remain poorly understood. To address this gap, we conducted a literature review and field deployments of pH and dissolved oxygen (DO) loggers within four habitats: intact kelp forest, moderate kelp cover, sparse kelp cover and barrens at one site in Port Phillip Bay, a wind-wave dominated coastal embayment in Victoria, Australia. Additionally, a wave logger was placed directly in front of the intact kelp forest and barrens habitats. Most studies reported that kelp increased seawater pH and DO during the day, compared to controls without kelp. This effect was more pronounced in densely populated forests, particularly in shallow, sheltered conditions. Our field study was broadly consistent with these observations, with intact kelp habitat having higher seawater pH than habitats with less kelp or barrens and higher seawater DO compared to barrens, particularly in the afternoon and during calmer wave conditions. Although kelp forests can provide local refuges to biota from OA, the benefits are variable through time and may be reduced by declines in kelp density and increased wave exposure.
The impact of antibiotic prophylaxis with cefazolin, and ceftizoxime along with aminoglycosides on postoperative complications, hospitalization, and returning to normal life for percutaneous nephrolithotomy, A prospective cross-sectional study
Authors: Falahatkar Siavash , Mokhtari Gholamreza , Kazemnejhad-Leili Ehsan , Abed-Kamalchi Milad , Kazemi Samira , Sheikhi Fatemeh , Jafari Alireza
Published: October 2023

Objective
This study investigated the efficacy of first-generation cephalosporin (cefazolin) and third-generation cephalosporin (ceftizoxime) as prophylactic antibiotics in patients undergoing PCNL surgery. The study also examined the incidence of postoperative complications, hospitalization duration, and return to normal life.
Methods
This prospective cross-sectional study included patients (≥ 20 years) who underwent PCNL surgery at RAZI, GOLSAR, and PARS Hospitals from January 01, 2013, to December 31, 2022. Patients were divided into two groups and received 1mg/kg of either first-generation (cefazolin) or third-generation (ceftizoxime) intravenously, 30 minutes before the surgery. The incidence of postoperative complications, hospitalization duration, and return to normal life were compared based on the type of prophylactic antibiotic. Risk factors were evaluated using chi-squared tests followed by multivariate logistic regression analysis.
Results
The ceftizoxime group showed significantly lower rates of general complications (13.0% vs 31.4%) and postoperative fever (2.8% vs 15.0%) compared to the cefazolin group. The ceftizoxime group also had a significantly shorter total hospitalization duration (1.31 ± 1.18 days) compared to the cefazolin group (4.03 ± 1.57 days) (p = 0.000). Additionally, the ceftizoxime group had a significantly shorter duration for return to normal life (5.97 ± 3.37 days) compared to the cefazolin group (8.15 ± 2.93 days) (p = 0.001).
Conclusion
The third-generation prophylactic cephalosporin (ceftizoxime) was superior to the first-generation (cefazolin) in reducing postoperative fever rates, hospitalization duration, and time to return to normal life for patients.
The effect of several mineral formulations on controlling strawberry blossom blight due to Botrytis cinerea
Authors: Shemshaki Naghme Save , Sharifi Kasra , Khodaparast Seyed Akbar , Mamani Leila , Mousanejad Sedigheh
Published: October 2023

Gray mold is one of the most important strawberry diseases worldwide. Today, minerals play a significant role in controlling plant diseases. The antimicrobial effects of salt solutions have been widely documented in researches describing their effectiveness in managing various plant diseases. The study aimed to evaluate the impact of mineral compounds on controlling strawberry blossom blight caused by Botrytis cinerea. Ten mineral compounds were used to evaluate the controlling effect on the disease-causing fungus in vitro with five doses. Six mineral compounds that include aluminum chloride, aluminum sulfate, sodium metabisulfite, sodium selenite, borax, and potassium sulfate were chosen based on inhibition of mycelial growth compared to the control, mycelium deformation, and lack of conidiation, for formulations based on EC, based on two oils of flax seeds and castor. The number of infected and healthy flowers were recorded to evaluate the controlling effect of mineral compound formulations on strawberry blossom blight under greenhouse conditions. The formulations efficiency were between 48% − 80%. The best formulation after signum® was aluminum chloride based on castor oil at two parts per thousand.
Effects of sitting-style Baduanjin on older adults with heart failure: Study Protocol for a Randomized Controlled Trial
Authors: wu min , jin xiao , jiang minghong , Li Ran , Song Hongli , li Mingwei
Published: October 2023

Importance:
Heart failure (HF) is a complex disease, mainly caused by structural or functional changes such as ventricular filling or cardiac ejection, leading to clinical symptoms and signs and seriously affecting patients' quality of life. Guideline-directed medical therapy can significantly alleviate patients' symptoms and reduce mortality and hospitalization rate. Exercise can improve cardiopulmonary function, and all major guidelines unanimously recommend exercise-centered cardiac rehabilitation. However, unscientific exercise increases myocardial oxygen consumption and aggravates symptoms in patients with HF. Therefore, choosing appropriate exercise to improve patients' exercise tolerance and quality of life has become a research hotspot. Sitting Baduanjin, a traditional Chinese exercise method that combines movement with rest, is easy to understand, highly recognized by society, and can be widely promoted. Moreover, some studies have indicated that sitting Baduanjin can ameliorate cardiopulmonary function and improve patients' quality of life. Therefore, studying the influence of sitting Baduanjin on senile HF is significant.
Methods and analysis:
This single-blind randomized controlled trial is designed to demonstrate that regular sedentary exercise and guided medication can significantly improve the quality of life of patients with HF. In this trial, 136 eligible patients will be randomly assigned to the Baduanjin and control groups in a ratio of 1:1. The Baduanjin group will practice sitting Baduanjin at home (45 min each time, three times a week) along with routine treatment, while the control group will only receive basic routine treatment. The primary outcome is the Minnesota HF questionnaire. Secondary outcomes include N-terminal proB-type natriuretic peptide (NT-proBNP), left ventricular end-diastolic diameter (LVEDD), left ventricular ejection fraction (LVEF), and left ventricular end-systolic diameter (LVESD). Researchers blinded to treatment allocation will analyze the data.
Conclusion
This study will provide strong evidence to establish regular sitting-style Baduanjin exercise effectiveness in significantly improving the quality of life of patients with HF.
Clinical registration:
We have registered with the China Clinical Trials Registration Center on November 18, 2022, the registration number is ChiCTR2200065921.
Automated Phase-Type Distribution Fitting via Expectation-Maximization
Authors: Mialaret Marco , Pereira Paulo , Barreto Antônio Sá , Pinheiro Thiago , Maciel Paulo
Published: October 2023

In numerous practical domains such as reliability and performance engineering, finance, healthcare, and supply chain management, a common and formidable challenge revolves around the accurate modeling of intricate time-based data and event durations. The inherent complexities inherent to real-world systems often render the effective application of conventional statistical distributions a formidable task. Phase-type (PH) distributions emerge as a remarkably adaptable class of distributions ideally suited for modeling scenarios like failure times or response times, thanks to their Markovian representation. These distributions find utility in both analytical and simulation-driven approaches for system evaluation , and they are frequently employed to approximate empirical datasets. This paper introduces an approach that leverages user-friendly tools, graphical adjustment features, and integration with existing tools to streamline the process of fitting PH distributions to empirical data. Simplifying this procedure empowers domain experts to more accurately model complex systems, resulting in enhanced decision-making, more efficient resource allocation, improved reliability assessments, and optimized system performance across an extensive spectrum of practical domains where the analysis of time-based data remains pivotal. Furthermore, this study presents a method for the automated determination of parameters within a fitted Hyper-Erlang distribution. This method utilizes the Bayesian Information Criterion (BIC) within a Bayesian optimization framework integrated into an Expectation-Maximization (EM) algorithm. Consequently , it enables the derivation of the probability density function (pdf) for a given dataset through a combination of Hyper-Erlang distributions. Subsequently, this pdf serves as a critical tool for the assessment of system performance.
Design and synthesis of Berberine loaded Nano- hydroxyapatite/Gelatin Scaffold for bone cancer treatment
Authors: Khajavi Sajjad , Bahraminasab Marjan , Arab Samaneh , Talebi Athar , Kokhaei Parviz , Abdoos Hassan
Published: October 2023

The treatment of osteosarcoma, as the most destructive bone cancer, is allied with many challenges. One of the new tissue engineering approaches is the use of a local drug delivery system implanted after surgery. This system can be a scaffold mimicking the natural tissue extracellular matrix, loaded with drugs. Therefore, the purpose of this study was to construct different berberine-loaded nano-hydroxyapatite/gelatin scaffolds, and to investigate their effects on osteosarcoma cancer cells. The scaffolds after fabrication were analyzed for physicochemical properties using XRD, EDS, FTIR, and FE-SEM. The drug loading and release, and the biocompatibility (MTT and LDH) were also evaluated. Moreover, apoptosis, viability, colony formation, and scratch tests were conducted on cancer cells. The scaffolds exhibited a porosity of 66.64% with pore sizes of 10–70 micrometers. The results showed that the released berberine had a cytotoxic effect on cancer cells (cell death of ⁓38–80% based on LDH, and cell proliferation < 56% and < 21% in terms of early and late exposure based on MTT). The apoptosis results revealed a remarkable increase in the percentage of apoptotic MG63 cells after treatment with berberine-loaded scaffolds in a dose-dependent manner. All scaffolds with berberine were able to significantly prevent colony formation and cell migration (only 9.7–15.7% closure).
Heptadecagonal Fuzzy Number and its Distinctive Representation, Ranking, Defuzzification Technique and Application in Fuzzy Linear Programming Problem
Authors: Bala Vipin , Kumar Jitender , Kadyan M. S.
Published: October 2023

In this study, distinct categories of linear and nonlinear heptadecagonal fuzzy numbers with symmetry and asymmetry and their graphical representation are proposed. The membership functions and alpha-cuts for different types of heptadecagonal fuzzy numbers are also explained. Linear and nonlinear heptadecagonal fuzzy numbers with symmetry and asymmetry serve as powerful tools for simplifying the comprehension of vagueness data across different problems. By using the alpha-cut, the arithmetic operations on linear heptadecagonal fuzzy number with symmetry are addressed. A ranking method based on the centroid formula is used to rank two heptadecagonal fuzzy numbers and the alpha-cut method is applied to compute the defuzzification for linear heptadecagonal fuzzy number with symmetry. A numerical example for the fuzzy linear programming problem has been presented to illustrate the proposed methodology.
Cervical Cancer Prediction through Different Screening Methods using Machine Learning based on the strong features CNN-SVM network.
Authors: Karimi Sepideh , Razavi Firozeh , Soheili Mehdi
Published: October 2023

As you know, the uterus is part of the reproductive system of women and is. When normal cells in the cervix turn into abnormal cells and gradually grow abnormally out of control, they become cervical cancer (cervical cancer).The aim is to compare the several initiatives to better accuracy, the foresight for the cancer to develop from various western dominated methods by using the engine to identify the strong features of the coast's network CNN-SVM. It is the integration The abstract features extracted from the hidden layer LeNet-5 are combined with strong features after dimension reduction, then the combined features are entered into the SVM classifier for classification. Finally, they are classified by SVM, KNN, ANN, DROPUT, and by voting method they are we also compared. The results showed that the strong feature of the CNN-SVM model can be used in cell classification for early cervical cancer screening. In the conclusion obtained, as well as using functions to improve performance, such as logistic regression, with Acc, Sn, Sp 93.6, 00, 00 relatively, only performed more than in the part and well, and it could have performed more than for improvement.
Des-q: a Quantum Algorithm to Construct and Efficiently Retrain Decision Trees for Regression and Binary Classification
Authors: Kumar Niraj , Yalovetzky Romina , Li Changhao , Minnsen Pierre , Pistoia Marco
Published: October 2023

Decision trees are widely used in machine learning for their simplicity in construction and interpretability. However, as data sizes grow, traditional methods for constructing and retraining decision trees become increasingly slow, scaling polynomially with the number of training examples. We introduce a novel quantum algorithm, Des-q, for constructing and retraining decision trees in regression and binary classification. Assuming the data stream produces small increments of new training examples, Des-q significantly reduces the tree retraining time, achieving poly-logarithmic time complexity in the number of examples, even accounting for the time needed to load the new examples into quantum-accessible memory. Our approach involves building a decision tree algorithm to perform k-piecewise linear tree splits at each internal node. These splits simultaneously generate multiple hyperplanes, dividing the feature space into k distinct regions. To determine the k suitable anchor points for these splits, we develop an efficient quantum-supervised clustering method, building upon the q-means algorithm by Kerenidis et al. Des-q first efficiently estimates each feature weight using a novel quantum technique to estimate the Pearson correlation. Subsequently, we employ weighted distance estimation to cluster the training examples in k disjoint regions based on nearest-neighbor matching and then proceed to expand the tree using the same procedure. We benchmark the performance of the simulated version of our algorithm against the state-of-the-art classical decision tree on multiple data sets with numerical features. Further, we showcase that the proposed algorithm exhibits similar performance to the state-of-the-art decision tree while significantly speeding up the periodic tree retraining.
Factors influencing prosthesis selection and variation: a survey of orthopaedic surgeons in Australia.
Authors: Allen Michelle J , Brain David , Crawford Ross , Senanayake Sameera , Harris Ian A , Elliott Lana , Hinchcliff Reece , McCreanor Victoria , McPhail Steven M
Published: October 2023

Background: There is increasing demand for knee and hip arthroplasties, with considerable health system cost implications. Despite much of the surgical costs relating to the particular prosthesis used, little is known about which factors are most influential for surgeon decision-making, nor is it clear what level of variation may be warranted for clinical reasons.
Materials and Methods: A three-stage study was conducted to address the dual objectives of: a) identify factors influencing prosthesis selection for total hip arthroplasty (THA) and total knee arthroplasty (TKA); and b) develop a working definition for what could be considered unwarranted variation in THA and TKA implant selection. A questionnaire was developed and piloted with input from orthopaedic surgeons. This cross-sectional survey was conducted with orthopaedic surgeons across Australia, followed by an expert panel to finalise the working definition.
Results: Revision rates, familiarity with implant, and implant quality, were factors considered a priority when choosing a prosthesis, whilst other factors including cost, were reported to have limited influence. Technological advancement and revision rates were influential for past changes of prosthesis, and strong clinical evidence for future changes. Consensus was reached on a working definition of unwarranted variation that focused on implants with revision rates of 20% or higher compared to published benchmarks. Use of multiple cost thresholds was recommended for defining both narrow and broad definitions of unwarranted variation.
Conclusion: Findings from this study provide valuable insights into the decision-making process for prosthesis selection, as well as what surgeons believe might constitute unwarranted variation. This information can be used to progress our understanding of the magnitude and impact of this variation through use of the suggested unwarranted variation definitions, as well as inform strategies to address unwarranted variation in prosthesis selection.
Level of evidence: Non-randomised cross-sectional survey – Level 3.
Trial registration: Not applicable.
Characterizing Patient Phenotypes and Emerging Trends in Application of Spatial Analysis in Individual-Level Health Data
Authors: Mollalo Abolfazl , Hamidi Bashir , Lenert Leslie , Alekseyenko Alexander V.
Published: October 2023

Objectives: Health information systems (HIS) commonly contain patient addresses that provide valuable data for geocoding and spatial analysis, enabling more comprehensive descriptions of individual patients in biomedical studies. Despite the widespread adoption of HIS, no systematic review has examined the extent to which spatial analysis is used in characterizing patient phenotypes.
Materials and Methods: We systematically evaluated English-language peer-reviewed articles from PubMed/MEDLINE, Scopus, Web of Science, and Google Scholar databases from inception to August 20, 2023, without imposing constraints on time, geography, or specific health domains.
Results: Only 62 articles met the eligibility criteria. These articles utilized diverse spatial methods, with a predominant focus on clustering techniques, while spatiotemporal analysis (frequentist and Bayesian) and modeling were relatively underexplored. Geographically, the use was limited, involving only nine countries, with over 80% of studies conducted in the United States. Moreover, a noteworthy surge (82.3%) in publications was observed post-2017. The publications investigated various clinical areas, including infectious disease, endocrinology, and cardiology, using phenotypes defined over a range of data domains, such as demographics, diagnoses, and visit. The primary health outcomes investigated were asthma, hypertension, and diabetes. Notably, patient phenotypes involving genomics, imaging, and notes were rarely utilized.
Discussion and Conclusion: This review underscores the growing interest in spatial analysis of HIS-derived data and highlights knowledge gaps in clinical health, phenotype domains, geospatial distribution, and spatial methodologies. Additionally, this review proposes guidelines for harnessing the potential of spatial analysis to enhance the context of individual patients for future biomedical research.
The Impact of Gut Microbiota on Thyroid Immune Responses - Evaluation with Bioinformatics Tools
Authors: Andrade Luís Jesuino de Oliveira , de Oliveira Gabriela Correia Matos , de Oliveira Luisa Correia Matos , Silva Catharina Peixoto , de Oliveira Luís Matos
Published: October 2023

Introduction
Perturbations in the composition and functionality of the gut microbiota have been implicated in various autoimmune diseases, including those affecting the thyroid gland. Despite significant advancements in understanding this association, there remains a gap in research regarding the precise mechanisms by which gut microbiota dysbiosis contributes to the development and progression of autoimmune thyroid disorders.
Objective
To investigate the influence of gut microbiota on thyroid immune responses using bioinformatics tool.
Methods
The study used genomic and proteomic sequence data from the NCBI database to examine the influence of gut microbiota on thyroid immune responses. Taxonomic analysis and metagenomic analysis were performed, and functional annotation tools were used to identify genes and pathways involved in the immune response. Biological networks were constructed to understand the complex biological interactions.
Results
A total of 944 sequences of microorganisms specific to thyroid immune response were obtained from NCBI. The taxonomic composition consisted of Agathobacter rectalis, Bacteroides stercoris, Bifidobacterium faecale, Clostridium coccoides, Clostridium leptum, Lactobacillus iners, Prevotella jejuni, and Roseburia. Bacteroides stercoris represented 35% of the composition, Agathobacter rectalis represented 25%, Prevotella jejuni represented 15%, and Roseburia represented 10%. The taxonomic diversity index was 0.85, indicating high diversity. Biological networks were constructed, revealing 8 significant modules. The NF-kB and MAPK signaling pathway was identified as the specific pathway influencing gut microbiota on thyroid immune responses, playing a critical role in modulating the immune response of the thyroid.
Conclusion
We identified a diverse set of microorganisms specific to the thyroid immune response, and through biological network analysis, we identified the signaling pathway as critical in modulating the immune response of the thyroid.
Genesis of Soviet Philosophy: the Case of V.F. Asmus
Authors: Климова С.М.
Published: October 2023

В статье показан процесс становления советской философии в 1920-е гг. на примере анализа первой книги Валентина Фердинандовича Асмуса, опубликованной в 1924 г. и ее рецензий в эмигрантской и советской прессе. Центральным пунктом стало обсуждение теории познания, уточнение ее предмета и метода в марксистской философии. Диалектический метод, как главный объект анализа, был рассмотрен Асмусом через историко-философскую реконструкцию идей от Канта и Гегеля к Марксу и Ле-нину. При этом философия Ленина, чье имя значится в заголовке книги, оказалась, по сути, не затронута в исследовании Асмуса. Попутно он коснулся проблем первобытного мышления, античной диалектики и нового времени. Асмус доказывает, что подлинным предметом философии может быть только мышление в его диалектическом развитии (30 лет спустя эту позицию примется отстаивать Эвальд Ильенков). Вторая часть статьи посвящена критическим рецензиям на первую книгу Асмуса, как в эмигрантской, так и в советской прессе. Обращение к данному материалу позволяет реконструировать пространство интеллектуальной мысли, демонстрирующее процесс становления советской философии.

The article shows the process of formation of Soviet philosophy in the 20s through the analysis of Valentin Ferdinandovich Asmus’s first book, published in 1924, and its reviews in the émigré and Soviet press. The central point was a discussion of the theory of cognition, clarifying its subject and method in Marxist philosophy. The dialectical method, as the main object of analysis, was examined by Asmus through a historical and philosophical reconstruction of ideas from Kant and Hegel towards Marx and Lenin. Lenin’s name featured in the book’s title turns out to be essentially absent from the study itself. In passing, he touched upon the problems of primitive thinking, ancient dialectics and modern times. Asmus argues that only thinking taken in its dialectic development can be the true subject of philosophy (30 years later, Evald Ilienkov will assume this stance as well). The second part of the article considers critical responses to Asmus’s first books in both émigré and Soviet press. These data make it possible to reconstruct the course of intellectual thought that shaped the formation of Soviet philosophy.
America as a Pastoral and/or Barbaric Periphery in Two European Travelogues of the Eighteenth Century
Authors: Филимонова М.А.
Published: October 2023

Соединенные Штаты на этапе становления своей государственности вызывали острый интерес европейских современников. Создаваемые ими образы заокеанской рес-публики, как правило, формировали идеализирующий и негативизирующий дискурсы в отношении США. В статье анализируются яркие примеры европейского восприятия ранней Америки: «Дневник благородной дамы» Дженет Шоу и «Новое путешествие по Соединенным Штатам» Жак-Пьера Бриссо.

The United States at the stage of the formation of its statehood aroused the keen interest of European contemporaries. The images they created of an overseas republic, as a rule, formed idealizing and negativizing discourses about the United States. This article analyzes vivid examples of the European perception of early America, Journal of a Lady of Qualityby Janet Schaw and Nouveau voyage dans les Etats-Unis de l’Amérique Septentrionale by Jacques-Pierre Brissot.
The Crisis of Culture in «The Burnt Novel» by Ya. E. Golosovker
Authors: Морозов Д.А.
Published: October 2023

В статье художественное произведение Я.Э. Голосовкера «Сожженный роман», впервые опубликованное в 1991 году, рассматривается в качестве реализации его оригинального философского проекта. С опорой на трактат Голосовкера «Имагинативный абсолют» и другие работы автор рассматривает, как ключевые философские сюжеты отразились в творчестве мыслителя: идея познания воображением, противопоставление imaginatio и ratio, связь культуры и «духа», роль «смыслообразов». В данной интерпретации «Сожженный роман», события которого происходят во второй половине 1920-х гг., предстает диагнозом кризиса культуры, который Голосовкер ставит эпохе. Особое внимание уделено тому, как «Сожженный роман» встраивается в интеллектуальный контекст. В частности, как эстетика «молчаливого» Христа объединяет романы Достоевского, Булгакова и Голосовкера.

The article considers the artistic work by Ya.E. Golosovker «The Burnt Novel», first published in 1991, as an implementation of his original project of philosophy. Author, relying on the treatise «Imaginative Absolute», shows how the key philosophical themes were reflected in «The Burnt Novel»: idea of cognition by imagination, opposition of imaginatio and ratio, connection of culture and «spirit», role of «meaning images». «The Burnt novel», the events of which take place in the second half of the 20s of the XX century, in this interpretation appears as Golosovker’s diagnosis of crisis to culture. Special attention is paid to the embeddedness of «Burnt Novel» in the intellectual context. In particular, to the aesthetics of the «silent» Christ unites the novels of Dostoevsky, Bulgakov and Golosovker.
Professional Identity and Self-Consciousness of the Historian: Results and Prospects of the Study
Authors: Сидоров А.В. , Сидорова Л.А.
Published: October 2023

Рассматривается содержание нового выпуска в серии «Профессия – историк», посвященного юбилею члена-корреспондента РАН, Президента Российского общества интеллектуальной истории Лорины Петровны Репиной[1]. Книга раскрывает актуальные тенденции развития исторической науки на современном этапе.

The content of the new issue in the "Profession – Historian" series dedicated to the anniversary of the chief researcher of the Institute of General History of the Russian Academy of Sciences, Professor, Corresponding member of the Russian Academy of Sciences, President of the Russian Society of Intellectual History Lorina Petrovna Repina is considered. The book reveals the current trends in the development of historical science at the present stage.
“The Original Has Long Been Lost…”: The German project of the first edition of Diderot’s satire “Ramo’s Nephew” and the mystery of its St. Petersburg manuscript
Authors: Лагутина И.Н.
Published: October 2023

В статье на основе переписки, свидетельств современников и новых архивных документов исследуется появление на европейском книжном рынке «эрмитажной» копии сатиры Дидро «Племянник Рамо», а также реконструируются обстоятельства ее первого издания при участии немецких писателей Клингера, Шиллера и Гете.

Based on correspondence, testimonies of contemporaries and new archival documents, the article examines the appearance on the European book market of the "Hermitage" copy of Diderot's satire Rameau's Nephew, and also reconstructs the circumstances of its first edition with the participation of the German writers Klinger, Schiller and Goethe.
Microwave radiometer based on zero and differential measurement methods with high measurement rate
Authors:   Tomsk State University of Control Systems and Radioelectronics (TUSUR), Ubaychin Anton V. , Scheglyakov Artem V. ,   Tomsk State University of Control Systems and Radioelectronics (TUSUR), Abdirasul uulu Tilekbek ,   Tomsk State University of Control Systems and Radioelectronics (TUSUR)
Published: October 2023

A block diagram of a new high-speed microwave radiometer implemented on the zero and differential measurement methods are presented. The advantages of the simultaneous use of two measurement methods are shown: invariance to changing noise temperature and gain of the receiver when measuring slowly varying antenna noise temperature, and increased speed when measuring fast radio-thermal processes. A comparison of the operation of the proposed microwave radiometer in zero and modulation modes is illustrated.