syedzayyan/paper_mill_benchmark huggingface dataset:
Application of Deep Learning in Lung Cancer Imaging Diagnosis

Lung cancer is one of the malignant tumors with the highest fatality rate and nearest to our lives.It poses a great threat to human health and it mainly occurs in smokers.In our country, with the acceleration of industrialization, environmental pollution, and population aging, the cancer burden of lung cancer is increasing day by day.In the diagnosis of lung cancer, computed tomography (ct) images are a fairly common visualization tool.Ct images visualize all tissues based on the absorption of x-rays.The diseased parts of the lung are collectively referred to as pulmonary nodules, the shape of nodules is different, and the risk of cancer will vary with the shape of nodules.Computer-aided diagnosis (cad) is a very suitable method to solve this problem because the computer vision model can quickly scan every part of the ct image of the same quality for analysis and will not be affected by fatigue and emotion.The latest advances in deep learning enable computer vision models to help doctors diagnose various diseases, and in some cases, models have shown greater competitiveness than doctors.Based on the opportunity of technological development, the application of computer vision in medical imaging diagnosis of diseases has important research significance and value.In this paper, we have used a deep learning-based model on ct images of lung cancer and verified its effectiveness in the timely and accurate prediction of lungs disease.The proposed model has three parts: (i) detection of lung nodules, (ii) false positive reduction of the detected nodules to filter out “false nodules,” and (iii) classification of benign and malignant lung nodules.Furthermore, different network structures and loss functions were designed and realized at different stages.Additionally, to fine-tune the proposed deep learning-based mode and improve its accuracy in the detection lung nodule detection, noudule-net, which is a detection network structure that combines u-net and rpn, is proposed.Experimental observations have verified that the proposed scheme has exceptionally improved the expected accuracy and precision ratio of the underlined disease.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Research Article;
A Novel NIR Fluorescent Nanoprobe Targeting HER2-Positive Breast Cancer: Tra-TTR-A

Ttre, a photosensitizer molecule, has excellent biofluorescence imaging performance and effective antitumor properties for breast cancer.However, its application in breast cancer treatment is limited due to poor tumor selectivity and lack of targeting ability.In this study, ttre and trastuzumab were combined to synthesize tra-ttr-a, a novel near-infrared fluorescent nanoprobe for her2 positive breast cancer.The targeting and antitumor abilities of tra-ttr-a in breast cancer were also investigated.Like ttre, tra-ttr-a has a stable structure with remarkable optical properties and in vivo imaging capacity.However, tra-ttr-a not only inhibits tumor growth by generating reactive oxygen species but also kills tumor cells by trastuzumab.In this study, tra-ttr-a, a new type of near-infrared fluorescent nanoprobe that targets her2-positive breast cancer, was successfully synthesized.Tra-ttr-a could be used in in vivo imaging, targeted photodynamic therapy, and diagnosis and treatment for breast cancer.

Journal: Bioinorganic Chemistry and Applications (2021)
Publication types: Research Article;
Architectural and Landscape Garden Planning Integrated with Artificial Intelligence Parametric Analysis

Parametric design, driven by digital technology, has sparked extensive research and debate in the domains of architecture and urban planning, offering a new approach to issue solving.Architecture and landscape architecture, like architecture and urban planning, are disciplines that are part of the artificial environment.Architectural landscape design has begun to be influenced by parametric design.This study presents a more technical parametric design technique of architectural landscape design that involves artificial intelligence parametric analysis and proposes an architectural landscape planning and design method that incorporates artificial intelligence (ai) parametric analysis.This is a new discipline of concurrent design that complements and expands architectural landscape design methodologies and is based on artificial intelligence methods.This study integrates artificial intelligence parametric design theory and methodology into architectural landscape design and presents a parametric method appropriate for landscape architecture design based on architectural landscape architecture characteristics.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
Application of CT Multimodal Images in Rehabilitation Monitoring of Long-Distance Running

In order to monitor the rehabilitation of athletes injured in long-distance running, the author proposes a method for rehabilitation monitoring of long-distance running based on ct multimodal images.This method combines the latest multimodal image technology, integrates multimodal technology into ct images to improve the accuracy, performs image segmentation on ct multimodal images through medical segmentation methods, and analyzes the segmented images; finally, it can achieve the effect of rehabilitation treatment for athletes in long-distance running.Experimental results show that the total time taken by the authors’ method is 10.9 hours, with an average time of 8 seconds, which is much shorter than the other two control methods.In conclusion, the authors’ method allows for better rehabilitation monitoring of long-distance running sports injuries.

Journal: Scanning (2022)
Publication types: Research Article;
Artificial Intelligence Technology-Based Medical Information Processing and Emergency First Aid Nursing Management

This study was aimed at exploring the new management mode of medical information processing and emergency first aid nursing management under the new artificial intelligence technology.This study will use the artificial intelligence algorithm to optimize medical information processing and emergency first aid nursing management process, in order to improve the efficiency of emergency department and first aid efficiency.The successful rescue rates of hemorrhagic shock, coma, dyspnea, and more than three organs injury were 96.7%, 92.5%, 93.7%, and 87.2%, respectively, after the emergency first aid nursing mode was used in the hospital emergency center.The success rates of first aid within three years were compared, which were 91.8%, 93.4%, and 94.2%, respectively, showing an increasing trend year by year.255 emergency patients in five batches in june and five batches in july were selected as the research objects by convenience sampling method.Among them, 116 cases in june were taken as the experimental group, and 139 cases in july were taken as the control group, which was used to verify the efficiency of the design model in this study.The results showed that the triage time of the two groups was 8.16 ± 2.07 min and 19.21 ± 6.36 min, respectively, and the difference was statistically significant ( p &lt; 0.01 ).The triage coincidence rates were 96.35% and 90.04%, respectively, and the difference was statistically significant ( p &lt; 0.05 ).The research proved that the design of intelligent medical information processing and emergency first aid nursing management research model can effectively improve the triage efficiency of the wounded, assist the efficiency of emergency nursing of medical staff, and improve the survival rate of emergency patients, which is worthy of clinical promotion.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Research Article;
Application Value Evaluation of Blockchain Technology in Innovation and Entrepreneurship Information Platform for College Students

The current collegiate innovation and entrepreneurship information network works in a centralized manner, and there is a centralized trust dilemma.Malicious administrators can use their own rights to achieve public and private purposes.To solve this problem, a blockchain technology based on decentralization was introduced into the innovation as well as an entrepreneurship information platform for college students.It is critical to understand how to assess the usefulness of blockchain in innovation and entrepreneurship information platforms.This research mixes it with the current popular artificial intelligence trend and offers a neural network to assess the value of blockchain technology in terms of creativity and as an entrepreneurship information platform.The contents are as follows: (1) an application value evaluation method with an improved residual neural network is proposed.First, an improved data pooling layer is constructed by using three consecutive convolutional layers in series.The approach then has a significant feature learning ability by increasing the receptive field, thanks to an atrous residual block that combines atrous convolution and the residual block.Finally, the dropout method is introduced to avoid the negative impact of overfitting.(2) an application value evaluation method based on skip connection and residual network is proposed.With the inception module, this method creates a better data pooling layer and adds residual connections.The skip connection line is built in the residual block, which improves the residual block’s learning efficiency for feature information.The ordinary convolution in the residual block with a skip connection line is replaced with atrous convolution, and an atrous residual block with a skip connection line is designed.Finally, to construct a neural network, the two designed leftover blocks are connected end-to-end.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
A Novel Fluorescent Dye Invades Mitochondria to Selectively Kill Cancer Stem Cells via Increased ROS Production

Development of multiple agents has a significant impact on the cancer diagnosis and therapy.Several fluorescent dyes including near-infrared (nir) fluorescent agents have been already well studied in the field of photodynamic therapy (pdt).In the present study, we reported a novel fluorescent dye could obviously inhibit cancer cell proliferation with slight toxic effects on the biological organism.Furthermore, it displayed selective staining on cancer cells, particularly on cancer stem cells (cscs), rather than normal cells.Mechanically, this dye preferred to invading mitochondria of cancer cells and inducing overwhelming reactive oxygen species (ros) production.The in vivo experiments further demonstrated that this dye could image cancer cells and even cscs in a short-time intratumor injection manner using a zebrafish model and subsequently inhibit cancer cell proliferation after a relatively long-time drug exposure.Taken together, the future development of this agent will promise to make an essential contribution to the cancer diagnosis and therapeutics.

Journal: Bioinorganic Chemistry and Applications (2021)
Publication types: Research Article;
A Meta-analysis of Xiaoyin Granules Combined with Acitretin Capsule in the Treatment of Psoriasis Vulgaris

Psoriasis is a chronic noncommunicable dermatological condition, and psoriasis vulgaris is the most common phenotype.Acitretin is the most widely used systemic retinoid in the treatment of psoriasis.This review evaluates the clinical therapeutic effects of xiaoyin granule, a chinese herbal medicine, combined with acitretin capsule in the treatment of psoriasis vulgaris.Methods.Six databases including pub med, cochrane library, embase, china national knowledge infrastructure (cnki), wan fang, and china biology medicine disc (cbm) were searched for published studies on xiaoyin granule and/or acitretin capsule in psoriasis vulgaris.The cochrane collaboration risk-of-bias instrument was used to assess the quality of the included rcts.Stata 14.0 was used to conduct the statistical analysis.Results.Twenty-eight trials with 3281 patients were included in this meta-analysis.The results of this study show that the combined treatment of xiaoyin granule and acitretin capsule could improve the total effective rate (ter) and cure rate (cr) when compared with acitretin capsule (ter: rr = 1.15 , 95% ci (1.10, 1.21); cr: rr = 1.8 , 95% ci (1.62, 2.00)) or xiaoyin granule (ter: rr = 1.24 , 95% ci (1.11, 1.39); cr: rr = 1.75 , 95% ci (1.54, 1.98)) alone.The combined therapy could decrease the pasi score (mean difference = − 1.45 , 95% ci (-2.09, -0.80)) and inhibit inflammation (il-10: mean difference = 1.16 , 95% ci (0.94, 1.38); il-17: mean difference = − 2.06 , 95% ci (-2.60, -1.51)) in psoriasis vulgaris patients.Conclusions.The combination of xiaoyin granule and acitretin capsules could be a novel therapeutic strategy in the treatment of psoriasis vulgaris.However, the quality of trials in this study limited the conclusion, and more high-quality rcts are needed for further evaluation.

Journal: Computational and Mathematical Methods in Medicine (2022)
Publication types: Meta-Analysis;
A Meta-Analysis of Systemic Evaluation of Knee Ligament Injury or Intervention of Knee Proprioceptive Function Recovery

The knee ligaments, as a passive knee joint stability device, provide protection for the knee joint and ensure its functional integrity.This role has long been known and recognized by people.The original purpose of knee ligament reconstruction after knee ligament injury is to restore its anatomical structure and mechanical stability mechanism.Methods.Taking athletes as the research object, randomized controlled trials (rcts) on improving ankle joint function of athletes related to proprioception training at home and abroad were included.The search time was from the establishment of the database to december 31, 2019, and the references of related documents were traced.Two researchers independently screened the literature, extracted data, and evaluated the quality of the literature.Rev man 5.3 software was used for data analysis.Results.The extensor strength, flexor strength, and flexor strength/extensor strength of the affected limb were higher than before the operation one year after surgery ( p &lt; 0.01 ).The lysholm score, lysholm instability score, and one-foot jump distance were all higher than those before surgery ( p &lt; 0.05 ); the difference of kt-2000 for both knees was smaller than that before surgery ( p &lt; 0.05 ).Conclusion.In maintaining the anterior stability of the knee joint, the knee ligament provides 85% static resistance to prevent the tibia from moving forward, so knee ligament injury will cause knee instability.The proprioceptive feedback mechanism plays an important role in maintaining the functional stability of joints.

Journal: Journal of Healthcare Engineering (2022)
Publication types: Meta-Analysis;
A Lightweight Proxy Re-Encryption Approach with Certificate-Based and Incremental Cryptography for Fog-Enabled E-Healthcare

Cloud computing aims to provide reliable, customized, and quality of service (qo s) guaranteed dynamic computing environments for end-users.However, there are applications such as e-health and emergency response monitoring that require quick response and low latency.Delays caused by transferring data over the cloud can seriously affect the performance and reliability of real-time applications.Before outsourcing e-health care data to the cloud, the user needs to perform encryption on these sensitive data to ensure its confidentiality.Conventionally, any modification to the user data requires encrypting the entire data and calculating the hash of the data from scratch.This data modification mechanism increases communication and computation costs over the cloud.The distributed environment of fog computing is used to overcome the limitations of cloud computing.This paper proposed a certificate-based incremental proxy re-encryption scheme (cb-pre s) for e-health data sharing in fog computing.The proposed scheme improves the file modification operations, i.e., updation, deletion, and insertion.The proposed scheme is tested on the i fog sim simulator.The i fog sim simulator facilitates the development of models for fog and io t environments, and it also measures the impact of resource management techniques regarding network congestion and latency.Experiments depict that the proposed scheme is better than the existing schemes based on expensive bilinear pairing and elliptic curve techniques.The proposed scheme shows significant improvement in key generation and file modification time.

Journal: Security and Communication Networks (2021)
Publication types: Research Article;
A Computer-Aided Method for Digestive System Abnormality Detection in WCE Images

Wireless capsule endoscopy (wce) is a powerful tool for the diagnosis of gastrointestinal diseases.The output of this tool is in video with a length of about eight hours, containing about 8000 frames.It is a difficult task for a physician to review all of the video frames.In this paper, a new abnormality detection system for wce images is proposed.The proposed system has four main steps: (1) preprocessing, (2) region of interest (roi) extraction, (3) feature extraction, and (4) classification.In roi extraction, at first, distinct areas are highlighted and nondistinct areas are faded by using the joint normal distribution; then, distinct areas are extracted as an roi segment by considering a threshold.The main idea is to extract abnormal areas in each frame.Therefore, it can be used to extract various lesions in wce images.In the feature extraction step, three different types of features (color, texture, and shape) are employed.Finally, the features are classified using the support vector machine.The proposed system was tested on the kvasir-capsule dataset.The proposed system can detect multiple lesions from wce frames with high accuracy.

Journal: Journal of Healthcare Engineering (2021)
Publication types: Research Article;
A Chaotic-Map-Based Password-Authenticated Key Exchange Protocol for Telecare Medicine Information Systems

Telecare medicine information systems (tmiss) provide e-health services such that patients can access medical resources conveniently and doctors can prescribe treatments rapidly.Authentication is an essential security requirement in tmiss.In particular, the growth of password-based remote patient authenticated key exchange combining extended chaotic maps has enhanced the level of secure communications for tmiss.Recently, lee suggested an improved random-number-based password-authenticated key exchange (pake) using extended chaotic maps and synchronized-clock-based pake using extended chaotic maps on guo and zhang and xiao et al.’s pake.Unfortunately, we found that the nonce-based scheme of lee is insecure against known session-specific temporary information and server spoofing attacks.To cope with the aforementioned defects, this study aims to provide a new secure pake based on extended chaotic maps with more security functionalities for tmiss.Additionally, we show that the proposed scheme for tmiss provides high security along with low communication cost, computational cost, and a variety of security features.

Journal: Security and Communication Networks (2021)
Publication types: Research Article;
A Brief Data on Water Demand Assessment for Sustainable Potable Water Supply in Yergalem Tula Kebele, Ethiopia

In spite of ethiopia’s abundant water resources, such as rainwater, groundwater, river, and lake, there has been an increase in the demand for potable water during the past decade.Since 1990, ethiopia has only achieved 57 percent of the millennium development goal target for access to safe drinking water.Inadequate access to clean potable water and sewerage services and lack of good hygiene practices have a negative impact on health and nutrition, such as diarrheal disease which is one of the leading causes of mortality among children under the age of five in ethiopia.The objective of the present study is to assess the water demand in yergalem tula kebele, which will be used in the sustainable potable water supply design for the city.The water demand analysis is based on a geometric method of population forecasting with an annual growth rate of 3%.The total water demand (domestic and nondomestic water demands) projection has also been made and the per capita water demand of 25 liters for a distance of 0.5 km from the water distribution point for rural piped water supply system is adopted, as per gtp‐ii minimum service level.The mode and level of services considered for community water supplies include public fountains and institutions (i.e., schools and health centers/posts) with stand water points.

Journal: Journal of Environmental and Public Health (2022)
Publication types: Research Article;
Methylation-Dependent Transcriptional Repression of RUNX3 by KCNQ1OT1 Regulates Mouse Cardiac Microvascular Endothelial Cell Viability and Inflammatory Response Following Myocardial Infarction

Myocardial infarction (mi) is a major contributor to death and disability throughout the world.Increasing evidence shows that long noncoding rnas (lnc rnas) are involved in the progression of mi.Here, we hypothesized that lnc rna potassium voltage‐gated channel subfamily q member 1 overlapping transcript 1 (kcnq1ot1) could affect the development of mi via regulation of runt‐related transcription factor (runx)3 by methylation.Initially, by ligation of the left anterior descending coronary artery, an acute mi (ami) mouse model was established to collect the cardiac microvascular endothelial cells (cmecs), which revealed a high kcnq1ot1 expression and a low runx3 expression with its high methylation.After that, kcnq1ot1 knockdown or runx3 overexpression were transduced into the cmecs in order to detect their role in cmec proliferation, apoptosis, and inflammatory response.Moreover, we assessed their interaction with the inflammatory notch pathway, by determining the expression of jagged 1, hey1, hes1, notch intracellular domain, and notch1.It was observed that after kcnq1ot1 knockdown, the proliferation of ami‐cmecs was promoted, whereas their apoptosis was inhibited, accompanied by reduced level of inflammatory factors.These trends could also be achieved by runx3 overexpression via the notch pathway.Finally, the regulation of dna methyltransferase (dnmt)1‐dependent methylation in runx3 by kcnq1ot1 was determined, suggesting that kcnq1ot1 could result in down‐regulated runx3 expression through promoted runx3 methylation caused by recruiting dnmt1.Overall, this study demonstrates that kcnq1ot1 silencing inhibits runx3 methylation, thereby offering protection against cmec injury and inflammatory response in ami, which may serve as a promising target for the disease treatment.—wang y., yang x., jiang a., wang w., li, j., wen, j.Methylation‐dependent transcriptional repression of runx3 by kcnq1ot1 regulates mouse cardiac microvascular endothelial cell viability and inflammatory response following myocardial infarction.Faseb j.33, 13145–13160 (2019).Www.fasebj.org

Journal: FASEB Journal : Official Publication of the Federation of American Societies for Experimental Biology (2019)
Publication types: Research Article;