bluuebunny/crossref_metadata_2025 huggingface dataset:
HPRoP: Hierarchical Privacy-preserving Route Planning for Smart Cities
Authors: Tiausas Francis , Yasumoto Keiichi , Talusan Jose Paolo , Yamana Hayato , Yamaguchi Hirozumi , Bhattacharjee Shameek , Dubey Abhishek , Das Sajal K.
Published: August 2023

Route Planning Systems (RPS) are a core component of autonomous personal transport systems essential for safe and efficient navigation of dynamic urban environments with the support of edge-based smart city infrastructure, but they also raise concerns about user route privacy in the context of both privately owned and commercial vehicles. Numerous high-profile data breaches in recent years have fortunately motivated research on privacy-preserving RPS, but most of them are rendered impractical by greatly increased communication and processing overhead. We address this by proposing an approach called Hierarchical Privacy-Preserving Route Planning (HPRoP), which divides and distributes the route-planning task across multiple levels and protects locations along the entire route. This is done by combining Inertial Flow partitioning, Private Information Retrieval (PIR), and Edge Computing techniques with our novel route-planning heuristic algorithm. Normalized metrics were also formulated to quantify the privacy of the source/destination points (
endpoint location privacy
) and the route itself (
route privacy
). Evaluation on a simulated road network showed that HPRoP reliably produces routes differing only by ≤ 20% in length from optimal shortest paths, with completion times within ∼ 25 seconds, which is reasonable for a PIR-based approach. On top of this, more than half of the produced routes achieved near-optimal endpoint location privacy (∼ 1.0) and good route privacy (≥ 0.8).
Heterogeneous Evolution Network Embedding with Temporal Extension for Intelligent Tutoring Systems
Authors: Liu Sannyuya , Liu Shengyingjie , Yang Zongkai , Sun Jianwen , Shen Xiaoxuan , Li Qing , Zou Rui , Du Shangheng
Published: August 2023

Graph embedding (GE) aims to acquire low-dimensional node representations while maintaining the graph’s structural and semantic attributes. Intelligent tutoring systems (ITS) signify a noteworthy achievement in the fusion of AI and education. Utilizing GE to model ITS can elevate their performance in predictive and annotation tasks. Current GE techniques, whether applied to heterogeneous or dynamic graphs, struggle to efficiently model ITS data. The GEs within ITS should retain their semidynamic, independent, and smooth characteristics. This article introduces a heterogeneous evolution network (HEN) for illustrating entities and relations within an ITS. Additionally, we introduce a temporal extension graph neural network (TEGNN) to model both evolving and static nodes within the HEN. In the TEGNN framework, dynamic nodes are initially improved over time through temporal extension (TE), providing an accurate depiction of each learner’s implicit state at each time step. Subsequently, we propose a stochastic temporal pooling (STP) strategy to estimate the embedding sets of all evolving nodes. This effectively enhances model efficiency and usability. Following this, a heterogeneous aggregation network is devised to proficiently extract heterogeneous features from the HEN. This network employs both node-level and relation-level attention mechanisms to craft aggregated node features. To emphasize the superiority of TEGNN, we perform experiments on several real ITS datasets and show that our method significantly outperforms the state-of-the-art approaches. The experiments validate that TE serves as an efficient framework for modeling temporal information in GE, and STP not only accelerates the training process but also enhances the resultant accuracy.
Polyploid tubular cells initiate a TGF-β1 controlled loop that sustains polyploidization and fibrosis after acute kidney injury
Authors: De Chiara Letizia , Semeraro Roberto , Mazzinghi Benedetta , Landini Samuela , Molli Alice , Antonelli Giulia , Angelotti Maria Lucia , Melica Maria Elena , Maggi Laura , Conte Carolina , Peired Anna Julie , Cirillo Luigi , Raglianti Valentina , Magi Alberto , Annunziato Francesco , Romagnani Paola , Lazzeri Elena
Published: August 2023

Polyploidization in tubular epithelial cells has been neglected until recently. Here, we showed that polyploidization is a self-sustained mechanism that plays an important role during chronic kidney disease development, proving the existence of a cross talk between infiltrating cells and polyploid tubular cells. This study contributes to the ongoing revision of kidney adaptation to injury, posing polyploid tubular cells at the center of the process.
Are LRRK2 mysteries lurking in the gut?
Authors: de Guilhem de Lataillade Adrien , Pellegrini Carolina , Neunlist Michel , Rolli-Derkinderen Malvyne , Derkinderen Pascal
Published: August 2023

Gut-brain axis and inflammation are two hot topics in Parkinson’s disease (PD). In this setting, the leucine-rich repeat kinase 2 ( LRRK2) gene, which encodes the eponym protein, has attracted much attention. LRRK2 is not only the gene most commonly associated with Parkinson’s disease but also a susceptibility gene for Crohn’s disease (CD), thereby suggesting that it may sit at the crossroads of gastrointestinal inflammation, Parkinson’s, and Crohn’s disease. In contrast to the accumulated data on LRRK2 in the central nervous system (CNS), research on LRRK2 in the digestive tract is still in its infancy, and the scope of the present review article is therefore to review existing studies on LRRK2 in the gastrointestinal tract in both physiological and pathological conditions. In light of current data on LRRK2 in the gastrointestinal tract, we discuss if LRRK2 could be or not regarded as a molecular link between gut inflammation, Parkinson’s disease, and Crohn’s disease, and we suggest directions for future research.
IL-17A neutralization fails to attenuate airway remodeling and potentiates a proinflammatory lung microenvironment in diacetyl-exposed rats
Authors: House Emma L. , Kim So-Young , Chalupa David , Hernady Eric , Groves Angela M. , Johnston Carl J. , McGraw Matthew D.
Published: August 2023

Interleukin-17A (IL-17A) neutralization has shown benefit previously in preclinical models of transplant-associated bronchiolitis obliterans (BO), yet it remains unknown whether IL-17A neutralization has similar benefit for other forms of BO. Here, IL-17A neutralization fails to prevent severe airway remodeling in rats exposed repetitively to the flavoring chemical diacetyl, and instead, promotes a proinflammatory microenvironment with increased expression of TNF-α, IL-1β, and NF-κB within the lung.
MC1R Gene Variants and Their Relationship with Coat Color in South American Camelids
Authors: Melo Rojas Carola , Bravo Matheus P. Walter , Zapata Coacalla Celso , Lopez Durand Victor , Melo Anccasi Maximo
Published: August 2023

In domestic camelids, fleece color is an essential characteristic because it defines the direction of production. Variants were determined in the MC1R gene that showed a relationship with coat color in alpacas and llamas at the level of the coding region. This report sequenced the MC1R gene from 290 alpacas (142 white, 84 black, 50 brown, and 14 light fawn), five brown llamas, nine vicuñas, and three guanacos to analyze the association between coat color and the MC1R gene among South American camelids. A total of nineteen polymorphisms were identified. Seven polymorphisms were significant; three of them were of nonsynonymous type (c.82A > G, c.376G > A, and c.901C > T), two were of synonymous type (c.126 T > C and c.933G > A), one was in the promoter region (−42C > G), and one was in the 3′ UTR (+5T > C). More polymorphisms were found in domestic camelids than in wild camelids. Besides polymorphism, the association of polymorphisms might cause white and dark pigmentation in the fleece of South American camelids. In addition, the MC1R protein would answer the pigmentation in alpacas.
On Solutions to Fractional Iterative Differential Equations with Caputo Derivative
Authors: Abera Alemnew , Mebrate Benyam
Published: August 2023

In this paper, we are concerned with two points. First, the existence and uniqueness of the iterative fractional differential equation

c

D

α

c
x

t

=
f

t
,
x

t

,
x

g

x

t

are presented using the fixed-point theorem by imposing some conditions on

f

and

g

. Second, we proposed the iterative scheme that converges to the fixed point. The convergence of the iterative scheme is proved, and different iterative schemes are compared with the proposed iterative scheme. We prepared algorithms to implement the proposed iterative scheme. We have successfully applied the proposed iterative scheme to the given iterative differential equations by taking examples for different values of

α

.
Overview of Mink Immunity and Resistance to Pseudomonas aeruginosa
Authors: Bai Jiangsong , Wang Xiao , Zhang Zihui , Lian Pengjing , Qiao Jian
Published: August 2023

Pseudomonas aeruginosa is one of the most host‐susceptible pathogenic bacteria to cause acute and chronic infections in humans and animals. Notably, its infection can especially cause fatal pathogenic infectious pneumonia in minks. Many previous mink studies have investigated the pathology, pathogenesis, serology, antimicrobial resistance, virulence gene, vaccination, and related diseases of P. aeruginosa. However, the relationship of P. aeruginosa infections with mink immunity and resistance is relatively less studied that needs more elaborations. Therefore, we here provide a comprehensive review about mink immunity and resistance to P. aeruginosa infections and the pathogenesis of mink hemorrhagic pneumonia in four major aspects. They include characterization, infection, immunity, and resistance of P. aeruginosa, and their implication and perspective, which aim to contribute the useful and valuable information to further related research and clinical treatment of P. aeruginosa and to avoid the potential fatal hemorrhagic pneumonia spreading.
Gene–Environment Analyses in a UK Biobank Skin Cancer Cohort Identifies Important SNPs in DNA Repair Genes That May Help Prognosticate Disease Risk
Authors: Jeremian Richie , Xie Pingxing , Fotovati Misha , Lefrançois Philippe , Litvinov Ivan V.
Published: August 2023

Background:

Despite well-established relationships between sun exposure and skin cancer pathogenesis/progression, specific gene–environment interactions in at-risk individuals remain poorly-understood.

Methods:

We leveraged a UK Biobank cohort of basal cell carcinoma (BCC, n = 17,221), cutaneous squamous cell carcinoma (cSCC, n = 2,331), melanoma in situ (M-is, n = 1,158), invasive melanoma (M-inv, n = 3,798), and healthy controls (n = 448,164) to quantify the synergistic involvement of genetic and environmental factors influencing disease risk. We surveyed 8,798 SNPs from 190 DNA repair genes, and 11 demographic/behavioral risk factors.

Results:

Clinical analysis identified darker skin (RR = 0.01–0.65) and hair (RR = 0.27–0.63) colors as protective factors. Eleven SNPs were significantly associated with BCC, three of which were also associated with M-inv. Gene–environment analysis yielded 201 SNP–environment interactions across 90 genes (FDR-adjusted q < 0.05). SNPs from the FANCA gene showed interactions with at least one clinical factor in all cancer groups, of which three (rs9926296, rs3743860, rs2376883) showed interaction with nearly every factor in BCC and M-inv.

Conclusions:

We identified novel risk factors for keratinocyte carcinomas and melanoma, highlighted the prognostic value of several FANCA alleles among individuals with a history of sunlamp use and childhood sunburns, and demonstrated the importance of combining genetic and clinical data in disease risk stratification.

Impact:

This study revealed genome-wide associations with important implications for understanding skin cancer risk in the context of the rapidly-evolving field of precision medicine. Major individual factors (including sex, hair and skin color, and sun protection use) were significant mediators for all skin cancers, interacting with >200 SNPs across four skin cancer types.
Supplementary Data1 from A Phase I/II Open-Label Study of Molibresib for the Treatment of Relapsed/Refractory Hematologic Malignancies
Authors: Dawson Mark A. , Borthakur Gautam , Huntly Brian J.P. , Karadimitris Anastasios , Alegre Adrian , Chaidos Aristeidis , Vogl Dan T. , Pollyea Daniel A. , Davies Faith E. , Morgan Gareth J. , Glass Jacob L. , Kamdar Manali , Mateos Maria-Victoria , Tovar Natalia , Yeh Paul , Delgado Regina García , Basheer Faisal , Marando Ludovica , Gallipoli Paolo , Wyce Anastasia , Krishnatry Anu Shilpa , Barbash Olena , Bakirtzi Evi , Ferron-Brady Geraldine , Karpinich Natalie O. , McCabe Michael T. , Foley Shawn W. , Horner Thierry , Dhar Arindam , Kremer Brandon E. , Dickinson Michael
Published: August 2023

Supplementary Methods
Supplementary Data T2 from A Survey of Cancer Risk Behaviors, Beliefs, and Social Drivers of Health in New Hampshire and Vermont
Authors: Skipper Thomas A. , Weiss Julie E. , Carlos Heather A. , Gunn Christine M. , Hasson Rian M. , Peacock Janet L. , Schiffelbein Jenna E. , Tosteson Anna N.A. , Lansigan Frederick , Rees Judy R.
Published: August 2023

Comparison of key variables between responders and non responders
Supplementary Data T1 from A Survey of Cancer Risk Behaviors, Beliefs, and Social Drivers of Health in New Hampshire and Vermont
Authors: Skipper Thomas A. , Weiss Julie E. , Carlos Heather A. , Gunn Christine M. , Hasson Rian M. , Peacock Janet L. , Schiffelbein Jenna E. , Tosteson Anna N.A. , Lansigan Frederick , Rees Judy R.
Published: August 2023

Survey instrument
Supplementary Figures from The Genetic Landscape of Ocular Adnexa MALT Lymphoma Reveals Frequent Aberrations in NFAT and MEF2B Signaling Pathways
Authors: Magistri Marco , Happ Lanie E. , Ramdial Jeremy , Lu XiaoQing , Stathias Vasileios , Kunkalla Kranthi , Agarwal Nitin , Jiang Xiaoyu , Schürer Stephan C. , Dubovy Sander R. , Chapman Jennifer R. , Vega Francisco , Dave Sandeep , Lossos Izidore S.
Published: August 2023

Supplementary Figures 1-8
FIGURE 4 from The Genetic Landscape of Ocular Adnexa MALT Lymphoma Reveals Frequent Aberrations in NFAT and MEF2B Signaling Pathways
Authors: Magistri Marco , Happ Lanie E. , Ramdial Jeremy , Lu XiaoQing , Stathias Vasileios , Kunkalla Kranthi , Agarwal Nitin , Jiang Xiaoyu , Schürer Stephan C. , Dubovy Sander R. , Chapman Jennifer R. , Vega Francisco , Dave Sandeep , Lossos Izidore S.
Published: August 2023

CABIN1 alterations and expression. A, Oncoprint showing alterations occurring across genes in the NFAT signaling pathway. Columns correspond to patients while genes are listed in rows. B, Lollipop plot showing the somatic nonsilent mutations found in CABIN1 gene with annotations of the amino acid changes. C, Heat map of CN status for cytoband 22q11 including the CABIN1 locus (annotated). Across this cytoband, segment colors vary from blue for strong CN losses to red for strong CN gains. Each row represents a sample, and each column represents a reported CN segment. Sample mutation status is noted to the right. D, Immunofluorescence expression analysis of CABIN1 (red), CD20 (green, top), and CD3 (green, bottom) in normal lymph node. Magnification: top and bottom left, 4×; top and bottom right, 40×. E, IHC analysis of CABIN1 expression in different MALT lymphomas (magnification all 20×). Top left, OAMZL with WT CABIN1; top right, OAMZL with CABIN1 CN losses; bottom left, parotid MZL; bottom right, lung MZL. White bars, 50 μm.
FIGURE 1 from The Genetic Landscape of Ocular Adnexa MALT Lymphoma Reveals Frequent Aberrations in NFAT and MEF2B Signaling Pathways
Authors: Magistri Marco , Happ Lanie E. , Ramdial Jeremy , Lu XiaoQing , Stathias Vasileios , Kunkalla Kranthi , Agarwal Nitin , Jiang Xiaoyu , Schürer Stephan C. , Dubovy Sander R. , Chapman Jennifer R. , Vega Francisco , Dave Sandeep , Lossos Izidore S.
Published: August 2023

Genetic landscape of OAMZL. An oncoprint showing the mutation and CNV status for the 74 most recurrently altered genes in 69 OAMZL tumors with frequency ≥10%. Each alteration type is color coded, as indicated in the figure. Each column corresponds to one sample and includes annotations at the bottom identifying anatomic tumor location as well as those samples with paired normal tissue. Genes are represented in the rows and are annotated on the basis of whether any reported mutations are identified in at least one of the tumor sample with paired normal tissue by Mutect. In addition, we report the frequency of mutations per gene, number and composition of mutation type per gene, and number and composition of mutation type per sample.
Supplementary Table S3 from Whole-genome CpG-resolution DNA Methylation Profiling of HNSCC Reveals Distinct Mechanisms of Carcinogenesis for Fine-scale HPV+ Cancer Subtypes
Authors: Qin Tingting , Li Shiting , Henry Leanne E. , Chou Elysia , Cavalcante Raymond G. , Garb Bailey F. , D'Silva Nisha J. , Rozek Laura S. , Sartor Maureen A.
Published: August 2023

Gene specific methylation results
FIGURE 5 from Whole-genome CpG-resolution DNA Methylation Profiling of HNSCC Reveals Distinct Mechanisms of Carcinogenesis for Fine-scale HPV+ Cancer Subtypes
Authors: Qin Tingting , Li Shiting , Henry Leanne E. , Chou Elysia , Cavalcante Raymond G. , Garb Bailey F. , D'Silva Nisha J. , Rozek Laura S. , Sartor Maureen A.
Published: August 2023

The IMU subtype displays hypermethylation in regions hypermethylated in tumor versus normal; KRT displays hypomethylation in regions hypomethylated in tumor versus normal. Heat maps show the IMU versus KRT DMRs that are hypomethylated (A) or hypermethylated (B) in TCGA HNSC samples compared to TCGA normal samples. Metadata for our patients is displayed above. C, PC analysis of regions hypermethylated in TCGA tumor versus normal for IMU and KRT subtypes. Dashed lines represent average of normal or tumor samples from TCGA. D, PC analysis of regions hypomethylated in TCGA tumor versus normal for IMU and KRT subtypes. Dashed lines represent average of normal or tumor samples from TCGA. E, Methylation levels at the 100-bp sites marked with the gene symbols of the 11 neoplasm-associated genes found in subclusters 1 and 2 (Fig. 5B). The asterisk indicates significantly repressed expression of that gene in the KRT subtype. In the case multiple sites mapped to a single gene, methylation levels were aggregated and the genomic annotation that appeared most often was used as the annotation in this panel. Note that the HPV(+) methylation levels come from our WGBS data, while TCGA data show methylation levels measured by a set of probes from the Infinium HumanMethylation450 BeadChip by Illumina.
Using (Ba,Ca)ScO2F:Bi3+,K+ phosphor with great performance and strong heating stability for LED backlight screens
Authors: Doan Duy Le , Hanh Nguyen Thi My , Le Thai Nguyen
Published: August 2023

diodes emit illumination (LED) display study is focused on straitband green phosphor samples yielding significant effectiveness as well as heating consistency. The cation substitution design technique was used to create Ba1-xCaxScO2F:0.001Bi3+,0.001K+ with x of 0-0.12) perovskite phosphors that emit strait green illumination when activated by a 415 nm chip. The impact of Ca2+ replacement for Ba2+ in the crystal structures of Ba1- xCaxScO2F:0.001- Bi3+,0.001K+ and photoluminescence characteristics were examined. In the space group Pm3m, all of the phosphors have a cubic perovskite-type structure. The development of cell characteristics and the lengthiness of the Ba/ Ca/K/Bi-O bonds were studied. Beneath 415 nm chip stimulation, the phosphors with an interior quantum effectiveness of 77.4 percent produce strong green radiation reaching the peak at 510 nm. The increase of luminous effectiveness and heating steadiness in response to local structural change was thoroughly addressed. The cation substitution design technique discussed here might be a significant way to realizing spectrum modulation by regulating the micro-surrounding within the latticework to achieve outstanding LED backlighting screens.
Estimation models of photovoltaic module operating temperature under various climatic conditions
Authors: Meflah Aissa , Aouchiche Imen , Berkane Smain , Chekired Fathia
Published: August 2023

Accurate control of the operating temperature is essential for achieving optimal efficiency in the use of solar panels. The Normal Operating Cell Temperature (NOCT) is a widely used method for estimating module temperature, but it is not always accurate for all conditions. In this paper, the authors propose four different models for estimating module temperature using various techniques including Neural Networks, a linear method proposed by Ross, and a Fitting method. The objective is to find more accurate methods than the NOCT model. The results show that all four models provide good agreement between measured and calculated module temperatures, with R² > 0.91 and RMSE < 3.74 for clear days, and considering the resources of time, cost, and expertise necessary for simulating or evaluating the proposed model, the two models based on RN neural networks offers a more cost-effective solution, by utilizing straightforward mathematical skills, the RN model demonstrates applicability in any environment, making it a preferable choice over the NOCT model for predicting polycrystalline photovoltaic module temperature under different climatic conditions. The proposed models can be used to estimate PV module temperature with good precision under different climatic conditions.
Improved field uniformity in EMC chamber for 6G communication
Authors: Rhee Eugene , Cho Junhee
Published: August 2023

This paper shows electromagnetic field uniformity in an electromagnetic compatibility (EMC) chamber that is used as a test facility for measuring electromagnetic interference and radiated immunity of 6G communication systems. While not defined yet, 6G radio frequency will work in the wavelength ranges above 95 GHz. With this reason, this paper designed a schroeder-type quadratic residue diffuser for 95 GHz to generate a uniform electromagnetic field in the EMC chamber and studied the field uniformity characteristics in it. To analyze the distribution of electromagnetic fields inside the EMC chamber, finite-difference time-domain (FDTD) numerical analysis method is used. The simulation results show that the EMC chamber with this diffuser satisfies the requirements of international standards and has improved the field uniformity in the chamber.
Bone fracture detection using electrical impedance tomography based on STEMlab Red Pitaya
Authors: Ain Khusnul , Rahma Osmalina Nur , Putra Alfian Pramudita , Syavinas Nur , Darmawan Dudi , Sohal Harsh
Published: August 2023

Bone fractures can result in accidents, osteoporosis, bone cancer, or other conditions. X-Ray is a medical imaging technique often used to detect bone fractures. However, X-Rays can have radiation effects that harm patients, health workers, and the environment. Electrical impedance tomography (EIT) is a system that can obtain object images based on the electrical impedance distribution. In bone fractures, the proximal bone tissue experiences increased blood flow with local edema due to the inflammatory reaction which indicates the presence of a high conductivity diffusion material at the fracture location. EIT based on the STEMlab Red Pitaya module can be utilized to detect bone fractures. Red Pitaya serves as a controller, possessing a voltage generator, an oscilloscope, and 16 input/output pins that fulfill most of the EIT functions. To test the EIT-based system’s efficacy, a 3D-printed polylactic acid (PLA)-based bone phantom model was used. This model was placed on a cylindrical phantom filled with water as a substitute for soft tissue. The voltage data then are reconstructed using electrical impedance and diffuse optical reconstruction software (EIDORS), a MATLAB toolbox devoted to image reconstruction from impedance measurement results. The results of the reconstruction demonstrated that EIT based on the Red Pitaya STEMlab module could distinguish between normal bone and fractured bone.
A novel adaptive noise cancellation method based on minimization of error entropy for electrocardiogram denoising
Authors: Mousa Saad Zahraa , Al-Chaabawi Nsaif Jasim , H. Hassan Saif Al_Deen
Published: August 2023

In this paper, we use an adaptive method that conforms to the error entropy criterion in order to eliminate noise from cardiac signals electrocardiogram (ECG). In previous works, the mean squared error (MSE) criterion has been used to adaptive noise cancelation of ECG signals, which only has the ability to minimize the second moment of error. The MSE criterion only works optimally on systems with Gaussian noise and stationary signals, so this is not suitable for ECG signals that are non-stationary and have non-Gaussian noise. In contrast, the use of error entropy-based algorithms like minimum error entropy (MEE) is very useful in ECG noise cancelation. The results of the proposed algorithm indicate a significant advantage in terms of signal-to-noise ratio (SNR) and convergence value compared to the algorithm based on MSE criteria.
Fuzzy based clustering and improved ant colony optimization for collecting data via mobile sink in wireless sensor networks
Authors: Gurunathan Vishnupriya , Sakthivel Anusha , Datchanamoorthy Kavitha
Published: August 2023

Energy efficient routing of data from sensor to base station (BS) is attained utilizing the clustering of sensor nodes, thus minimizing the number of hops and circling the task of the cluster head (CH) sporadically. In addition, the clusters near to the BS take a substantial load over multi-hop communication. The hot spot problem affects wireless sensor networks (WSNs) with BS nodes, which is caused by sensor nodes close to the BS allowing for increased traffic load. So, the entire network lifespan is minimized owing to the element some nodes drain their energy resources much faster equated to the break. To solve these issues fuzzy based clustering and form the optimal route (FCOR) by mobile sink (MS) approach for efficient data collection is proposed. The fuzzy logic method is used for elected the CH by node remaining energy, node connectivity and node distance parameters. Discovering an optimal movable trajectory for the MS is serious so as to attain energy efficiency. Improved ant colony optimization (IACO) method is a better solution to discovering an optimal traversal route. Simulation results proves that FCOR increases the energy efficiency, throughput and minimized the network delay in the WSN.
High gain wideband circularly polarized antenna with modified ground plane
Authors: Ibrahim Nawar Rehab , Yahia Hassan Ashraf , Mahmoud Abdelhady Abdelhady
Published: August 2023

In this study, a high-gain wideband circularly polarized (CP) printed monopole antenna for wireless local-area network (WLAN), worldwide interoperability for microwave access or WiMAX, C-band, and multiple input, multiple output (MIMO) applications was proposed and demonstrated. The proposed antenna structure has an octal-shaped monopole antenna tilted by 20° from its longitudinal axis, excited by coaxial probe feeding, and partial ground plane. To achieve broadband CP performance, the ground plane was redesigned with etching slots. A 1.6-mm-deep FR-4 (Ԑr = 4.3) substrate with dimensions of 70 x 55 mm2 is used to create and test a prototype of the suggested antenna. The proposed antenna's measurement results satisfy requirements for a broad ARBW of 107% (1.83-6.05 GHz), a broad impedance bandwidth of 139.39% (2-11.2 GHz), and a maximum gain of 7.28 dBi.
Protect medical records by using blockchain technology
Authors: Mohammed Marwa Sami , Hashim Asaad Noori
Published: August 2023

Recently, medical records have been stored and shared locally, which creates a risk of data loss or corruption; these records may be stored and shared through cloud-based central data centers; nonetheless, this strategy has disadvantages, such as the need for significant storage space and the privacy concerns associated with network-wide data sharing. Medical records require increased security and confidentiality, furthermore, these records must be protected when transmitted to and shared with doctors of the same specialization, to solve this problem, blockchain technology was used as a decentralized technology that offers a secure and immutable way to store and protect information. In this paper, a website is designed that uses blockchain technology to save medical records and employs smart contract technology in the ethereum blockchain to govern the creation and display of files and sharing. An interplanetary file system was used to offer a mechanism for the decentralized storage of medical images and reports while maintaining their accessibility on a global scale, it is available only for doctors who have the authority to access them, and the proposed system proved efficient in saving and sharing medical records with high security and less cost.
Dingo algorithm-based forwarder selection and huffman coding to improve authentication
Authors: Bhanu Nageswaran Usha , Priya Prathaban Banu , Sajana Tiruveedhula , Shanthi Shanmugasundaram , Mageshbabu Murugan , Swarnalatha Erram , Laxmi Kuntiyellannagari Bhagya , Saravanan Kannabiran
Published: August 2023

In wireless sensor network (WSN), the high volume of observe and transmitted data among sensor nodes make it requires to maintain the security. Even though numerous secure data transmission approaches designed over a network, an inadequate resource and the complex environment cause not able to used in WSNs. Moreover, secure data communication is a big challenging problem in WSNs especially for the military application. This paper proposes a dingo algorithm-based forwarder selection and huffman coding (DAHC) to improve authentication in internet of things (IoT) WSN. Initially, it detects the anomalous nodes by applying support vector machine (SVM) algorithm based on sensor node energy, node selfishness, and signal to noise ratio (SNR). Next, we using the dingo algorithm to select the forwarder node. This dingo algorithm computes the fitness function based on node degreee, node distance and node energy. Finally, the huffman coding to provide end to end authentication established on node energy from sender to receiver. During data transmission, the huffman coding to build the binary hop count value, it improves the authentication in the WSN. Performance results specify that this approach enhances the detection ratio and throughput.
Algorithm based-platform for decentralized applications in blockchain
Authors: Abdul-Sada Hamssah Hussein , Rabee Furkan
Published: August 2023

Over the past several years, blockchain technology has been applied in numerous fields. Blockchain (BC) is based on the idea of decentralized applications (DApps) and facilitates their use. This increases the transparency of the apps, distributed, and flexible. Within this context, this paper presents a procedure and algorithm to build a DApp on Ethereum blockchain based platforms. simulation of nature reserve (SONR) is a smart contract code that was built to simulate the work of a nature reserve to take advantages of the characteristics of the genetic algorithm, and then deploy this contract on one of the Ethereum test networks, the Goerli test network, to customize a new block with a unique address for this DApps on that network, the contract creation time is within 12 seconds, and the average transaction time is 8.1 seconds with a 2.5 gwei gas cost.
Review of random early detection optimization for congestion control in vehicular ad hoc networks
Authors: Ali Mohammad Ramez , Kadir Mohd Fadzil Abdul , Abidin Ahmad Faisal Amri , Mamat Abd Rasid , Mohamed Mohamad Afendee
Published: August 2023

The research area of “optimization of random early detection for congestion control in vehicular ad hoc networks (VANETS)” is emerging as a prominent area of research in internet, mobile and communication networks. The paper would draw the attention of development of VANETS in a wider context of internet and communications. It touches upon the problem of congestion that needs to be controlled or avoided for smooth performance of the network. It studies further to come up with methods of control or optimize. An update on these methods will be included. The concept of random early detection (RED) is included and studied in such a way the parameters are identified for defining the optimization problem for congestion control problem (CCP) in VANETS. Current trends of optimization of RED in CCP of VANETS will be reviewed, hence an outlook is created for the problem to be investigated with a final conclusion on the potential way forward for the research work.
Low-cost mobile air quality monitoring based on internet of things for factory area
Authors: Eriyadi Mindit , Notosudjono Didik , Setiana Hatib , Yakin Muh. Aji Alawi Ainal
Published: August 2023

The most significant effect of industrialization is air pollution. Air pollution monitoring has become an important requirement in affected areas. With the advancement of electronic sensor technology and the Internet of Things (IoT), there are plenty of remote ambient air quality monitoring systems have been developed by measuring the levels of major air pollutants such as Sulfur Dioxide, (SO2), Carbon Monoxide (CO), Nitrogen Dioxide (NO2), Ozone (O3), and Particulate Matter (PM). However, other hazardous gases such as Hydrogen Sulfide (H2S), Carbon Monoxide (CO), and Ammonia (NH3) also have the potential to appear in factory areas, especially factory areas located in rural areas. Therefore, this study proposes a low-cost mobile ambient air quality monitoring system by measuring CO, H2S, and NH3 gas levels that are easy to implement. The proposed system has been tested in factory areas and rural areas where factory pollutants can be mixed with agricultural pollutants. The test results show that the proposed system can detect CO, H2S, and NH3 gas levels. The levels of CO, H2S, and NH3 gases at the test site were still at a safe level. A mobile remote monitoring scheme by utilizing thinger.io as an IoT platform also works very well.
A high speed and power efficient multiplier based on counter-based stacking
Authors: Shankar Reddy Chukkaluru Ravi , Gopi Kumar Padavala Venkata , Manikandan Radhakrishnan , Bhavana Kuruva
Published: August 2023

High speed and competent addition of various operands is an essential operation in the design any computational unit. The swiftness and power competence of multiplier circuits plays vital role in enlightening the overall performance of microprocessors. Multipliers play crucial role in the design of arithmetic logic unit (ALU) or any digital signal processor (DSP) that are effectively employed for filtering and convolution operations. The process of multiplication either binary numbers or fixed-point numbers yields in enormous partial products that are to be added to get final product. These partial products in number and the process of summing up partial products dictate the latency and power consumption of the multiplier design. Here, we present a novel binary counter design that hires stacking circuits, that groups all logic “1” bits as one, followed by a novel symmetric method to merge pairs of 3-bit stacks into 6-bit stacks and then changes them to binary counts. This results in drastic improvements in power and area utilization of the multiplier. Additionally, this paper also focuses on implementation of novel approximate compressor and exploits the same for the design of approximate multipliers that can be effectively employed in any electronic systems that are characterized by power and speed constraints.
Principles for Health Information Collection, Sharing, and Use: A Policy Statement From the American Heart Association
Authors: Spector-Bagdady Kayte , Armoundas Antonis A. , Arnaout Rima , Hall Jennifer L. , Yeager McSwain Brooke , Knowles Joshua W. , Price W. Nicholson , Rawat Danda B. , Riegel Barbara , Wang Tracy Y. , Wiley Kevin , Chung Mina K. ,   on behalf of the American Heart Association Advocacy Coordinating Committee
Published: August 2023

The evolution of the electronic health record, combined with advances in data curation and analytic technologies, increasingly enables data sharing and harmonization. Advances in the analysis of health-related and health-proxy information have already accelerated research discoveries and improved patient care. This American Heart Association policy statement discusses how broad data sharing can be an enabling driver of progress by providing data to develop, test, and benchmark innovative methods, scalable insights, and potential new paradigms for data storage and workflow. Along with these advances come concerns about the sensitive nature of some health data, equity considerations about the involvement of historically excluded communities, and the complex intersection of laws attempting to govern behavior. Data-sharing principles are therefore necessary across a wide swath of entities, including parties who collect health information, funders, researchers, patients, legislatures, commercial companies, and regulatory departments and agencies. This policy statement outlines some of the key equity and legal background relevant to health data sharing and responsible management. It then articulates principles that will guide the American Heart Association’s engagement in public policy related to data collection, sharing, and use to continue to inform its work across the research enterprise, as well as specific examples of how these principles might be applied in the policy landscape. The goal of these principles is to improve policy to support the use or reuse of health information in ways that are respectful of patients and research participants, equitable in impact in terms of both risks and potential benefits, and beneficial across broad and demographically diverse communities in the United States.
Neutrophils for Revascularization Require Activation of CCR6 and CCL20 by TNFα
Authors: Lörchner Holger , Cañes Esteve Laia , Góes Maria Elisa , Harzenetter Roxanne , Brachmann Nathalie , Gajawada Praveen , Günther Stefan , Doll Nicolas , Pöling Jochen , Braun Thomas
Published: August 2023

BACKGROUND:

Activation of immune-inflammatory pathways involving TNFα (tumor necrosis factor alpha) signaling is critical for revascularization and peripheral muscle tissue repair after ischemic injury. However, mechanisms of TNFα-driven inflammatory cascades directing recruitment of proangiogenic immune cells to sites of ischemia are unknown.

METHODS:

Muscle tissue revascularization after permanent femoral artery ligation was monitored in mutant mice by laser Doppler imaging and light sheet fluorescence microscopy. TNFα-mediated signaling and the role of the CCL20 (C-C motif chemokine ligand 20)-CCR6 (C-C chemokine receptor 6) axis for formation of new vessels was studied in vitro and in vivo using bone marrow transplantation, flow cytometry, as well as biochemical and molecular biological techniques.

RESULTS:

TNFα-mediated activation of TNFR (tumor necrosis factor receptor) 1 but not TNFR2 was found to be required for postischemic muscle tissue revascularization. Bone marrow–derived CCR6
+
neutrophil granulocytes were identified as a previously undescribed TNFα-induced population of proangiogenic neutrophils, characterized by increased expression of VEGFA (vascular endothelial growth factor A). Mechanistically, postischemic activation of TNFR1 induced expression of the CCL20 in vascular cells and promoted translocation of the CCL20 receptor CCR6 to the cell surface of neutrophils, essentially conditioning VEGFA-expressing proangiogenic neutrophils for CCL20-dependent recruitment to sites of ischemia. Moreover, impaired revascularization of ischemic peripheral muscle tissue in diabetic mice was associated with reduced numbers of proangiogenic neutrophils and diminished CCL20 expression. Administration of recombinant CCL20 enhanced recruitment of proangiogenic neutrophils and improved revascularization of diabetic ischemic skeletal muscles, which was sustained by sequential treatment with fluvastatin.

CONCLUSIONS:

We demonstrate that site-specific activation of the CCL20-CCR6 axis via TNFα recruits proangiogenic VEGFA-expressing neutrophils to sites of ischemic injury for initiation of muscle tissue revascularization. The findings provide an attractive option for tissue revascularization, particularly under diabetic conditions.
Changes in Left Ventricular Global Longitudinal Strain in Patients With Heart Failure and Secondary Mitral Regurgitation: The COAPT Trial
Authors: Pio Stephan M. , Medvedofsky Diego , Stassen Jan , Delgado Victoria , Namazi Farnaz , Weissman Neil J. , Grayburn Paul , Kar Saibal , Lim D. Scott , Zhou Zhipeng , Alu Maria C. , Redfors Björn , Kapadia Samir , Lindenfeld JoAnn , Abraham William T. , Mack Michael J. , Asch Federico M. , Stone Gregg W. , Bax Jeroen J.
Published: August 2023

Background

Left ventricular (LV) global longitudinal strain (GLS) provides incremental prognostic information over LV ejection fraction in patients with heart failure (HF) and secondary mitral regurgitation. We examined the prognostic impact of LV GLS improvement in this population.

Methods and Results

The COAPT (Cardiovascular Outcomes Assessment of the MitraClip Percutaneous Therapy for Heart Failure Patients With Functional Mitral Regurgitation) trial randomized symptomatic patients with HF with severe (3+/4+) mitral regurgitation to transcatheter edge‐to‐edge repair with the MitraClip device plus maximally tolerated guideline‐directed medical therapy (GDMT) versus GDMT alone. LV GLS was measured at baseline and 6‐month follow‐up. The relationship between the improvement in LV GLS from baseline to 6 months and the composite of all‐cause death or HF hospitalization between 6‐ and 24‐month follow‐up were assessed. Among 383 patients, 174 (45.4%) had improved LV GLS at 6‐month follow‐up (83/195 [42.6%] with transcatheter edge‐to‐edge repair+GDMT and 91/188 [48.4%] with GDMT alone;
P
=0.25). Improvement in LV GLS was strongly associated with reduced death or HF hospitalization between 6 and 24 months (
P
<0.009), with similar risk reduction in both treatment arms (
P
interaction
=0.40). By multivariable analysis, LV GLS improvement at 6 months was independently associated with a lower risk of death or HF hospitalization (hazard ratio [HR], 0.55 [95% CI, 0.36–0.83];
P
=0.009), death (HR, 0.48 [95% CI, 0.29–0.81];
P
=0.006), and HF hospitalization (HR, 0.50 [95% CI, 0.31–0.81];
P
=0.005) between 6 and 24 months.

Conclusions

Among patients with HF and severe mitral regurgitation in the COAPT trial, improvement in LV GLS at 6‐month follow‐up was associated with improved outcomes after both transcatheter edge‐to‐edge repair and GDMT alone between 6 and 24 months.

Registration

URL:
https://www.clinicaltrials.gov
; Unique identifier: NCT01626079.
Disparities in Stroke Incidence Over Time by Sex and Age in Latin America and the Caribbean Region 1997 to 2021: A Systematic Review and Meta‐Analysis
Authors: Nuñez Marilaura , Delfino Carlos , Asenjo‐Lobos Claudia , Schilling Andrea , Lavados Pablo , Anderson Craig S. , Muñoz Venturelli Paula
Published: August 2023

Background

High‐income country studies show unfavorable trends in stroke incidence (SI) in younger populations. We aimed to estimate temporal change in SI disaggregated by age and sex in Latin America and the Caribbean region.

Methods and Results

A search strategy was used in MEDLINE, WOS, and LILACS databases from 1997 to 2021, including prospective population‐based observational studies with first‐ever stroke incidence in Latin America. Reports without data broken down by age and sex were excluded. Risk of bias was assessed with The Joanna Briggs Institute's guide. The main outcomes were incidence rate ratio and relative temporal trend ratio of SI, comparing time periods before 2010 with after 2010. Pooled relative temporal trend ratios considering only studies with 2 periods in the same population were calculated by random‐effects meta‐analysis. Meta‐regression analysis was used to evaluate incidence rate determinants. From 9242 records identified, 6 studies were selected including 4483 first‐ever stroke in 4 101 084 individuals. Crude incidence rate ratio in younger subjects (<55 years) comparing before 2010:after 2010 periods showed an increase in SI in the past decade (incidence rate ratio, 1.37 [95% CI, 1.23–1.50]), in contrast to a decrease in older people during the same period (incidence rate ratio, 0.83 [95% CI, 0.76–0.89]). Overall relative temporal trend ratio (<55:≥55 years) was 1.65 (95 CI%, 1.50–1.80), with higher increase in young women (pooled relative temporal trend ratio, 3.08 [95% CI, 1.18–4.97];
P
for heterogeneity <0.001).

Conclusions

An unfavorable change in SI in young people, especially in women, was detected in population‐based studies in the past decade in Latin America and the Caribbean. Further investigation of the explanatory variables is required to ameliorate stroke prevention and inform local decision‐makers.

Registration

URL:
https://www.crd.york.ac.uk/prospero/
Identifier: CRD42022332563.
Clinical and Vessel Characteristics Associated With Hard Outcomes After PCI and Their Combined Prognostic Implications
Authors: Yang Seokhun , Hwang Doyeon , Zhang Jinlong , Park Jiesuck , Yun Jun Pil , Lee Joo Myung , Nam Chang‐Wook , Shin Eun‐Seok , Doh Joon‐Hyung , Chen Shao‐Liang , Kakuta Tsunekazu , Toth Gabor G. , Piroth Zsolt , Johnson Nils P. , Hakeem Abdul , Uretsky Barry F , Hokama Yohei , Tanaka Nobuhiro , Lim Hong‐Seok , Ito Tsuyoshi , Matsuo Akiko , Azzalini Lorenzo , Leesar Massoud A. , Neleman Tara , van Mieghem Nicolas M , Diletti Roberto , Daemen Joost , Collison Damien , Collet Carlos , De Bruyne Bernard , Koo Bon‐Kwon
Published: August 2023

Background

Cardiac death or myocardial infarction still occurs in patients undergoing contemporary percutaneous coronary intervention (PCI). We aimed to identify adverse clinical and vessel characteristics related to hard outcomes after PCI and to investigate their individual and combined prognostic implications.

Methods and Results

From an individual patient data meta‐analysis of 17 cohorts of patients who underwent post‐PCI fractional flow reserve measurement after drug‐eluting stent implantation, 2081 patients with available clinical and vessel characteristics were analyzed. The primary outcome was cardiac death or target‐vessel myocardial infarction at 2 years. The mean age of patients was 64.2±10.2 years, and the mean angiographic percent diameter stenosis was 63.9%±14.3%. Among 11 clinical and 8 vessel features, 4 adverse clinical characteristics (age ≥65 years, diabetes, chronic kidney disease, and left ventricular ejection fraction <50%) and 2 adverse vessel characteristics (post‐PCI fractional flow reserve ≤0.80 and total stent length ≥54 mm) were identified to independently predict the primary outcome (all
P
<0.05). The number of adverse vessel characteristics had additive predictability for the primary end point to that of adverse clinical characteristics (area under the curve 0.72 versus 0.78;
P
=0.03) and vice versa (area under the curve 0.68 versus 0.78;
P
=0.03). The cumulative event rate increased in the order of none, either, and both of adverse clinical characteristics ≥2 and adverse vessel characteristics ≥1 (0.3%, 2.4%, and 5.3%;
P
for trend <0.01).

Conclusions

In patients undergoing drug‐eluting stent implantation, adverse clinical and vessel characteristics were associated with the risk of cardiac death or target‐vessel myocardial infarction. Because these characteristics showed independent and additive prognostic value, their integrative assessment can optimize post‐PCI risk stratification.

Registration

URL:
https://www.clinicaltrials.gov
; Unique identifier: NCT04684043.
www.crd.york.ac.uk/prospero/
. Unique Identifier: CRD42021234748.