bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evidence of intensification of Pyrethroid Resistance in the major Malaria Vectors in Kinshasa, Democratic Republic of Congo
Authors: NGUIFFO-NGUETE Daniel , MUGENZI Leon M. J. , MANZAMBI Emile Zola , TCHOUAKUI Magellan , WONDJI Murielle , TEKOH Theofelix , WATSENGA Francis , AGOSSA Fiacre , Wondji charles S 
Published: May 2023

Abstract

Assessing patterns and evolution of insecticide resistance in malaria vectors is a prerequisite to design suitable control strategies. Here, we characterised resistance profile inAnopheles gambiaeandAnopheles funestusin Kinshasa and assess the level of aggravation by comparing to previous 2015 estimates. Bothspeciescollected in July 2021 were highly resistant to pyrethroids at 1X, 5X and 10X concentrations (mortality < 90%) and remain fully susceptible to bendiocarb and pirimiphos methyl. Partial recovery of susceptibility was observed inAn. gambiaeafter PBO synergist assays for both permethrin and α-cypermethrin with total recovery of susceptibility observed for deltamethrin compared to 2015, the efficacy of bednets decreased significantly in 2021, for the most of nets. Genotyping of resistance markers revealed a near fixation of the L1014-Kdr mutation (98.3%) inAn. gambiaein 2021. The frequency of the 119F-GSTe2 resistant significantly increased between 2015 and 2021 (19.6% vs 33.3%; P = 0.02) inAn. funestus. Transcriptomic analysis also revealed a significant increased expression (P < 0.001) of key cytochrome P450s inAn. funestusnotablyCYP6P9a. The escalation of pyrethroid resistance observed inAnophelespopulations from Kinshasa coupled with increased frequency/expression level of resistance genes highlights an urgent need to implement tools to improve malaria vector control.
Record linkage without patient identifiers: proof of concept using data from South Africa’s national HIV program
Authors: Shumba Khumbo , Bor Jacob , Nattey Cornelius , Gareta Dickman , Lauren Evelyn , Macleod William , Fox Matthew P. , Puren Adrian , Mlisana Koleka , Onoya Dorina 
Published: May 2023

Abstract
Background:Linkage between health databases typically requires identifiers such as patient names and personal identification numbers. We developed and validated a record linkage strategy to combine administrative health databases without the use of patient identifiers, with application to South Africa’s public sector HIV treatment program.
Methods: We linked CD4 counts and HIV viral loads from South Africa’s HIV clinical monitoring database (TIER.Net) and the National Health Laboratory Service (NHLS) for patients receiving care between 2015-2019 in Ekurhuleni District (Gauteng Province). We used a combination of variables related to lab results contained in both databases (result value; specimen collection date; facility of collection; patient year and month of birth; and sex). Exact matching linked on exact linking variable values while caliper matching applied exact matching with linkage on approximate test dates (± 5 days). We then developed a sequential linkage approach utilising specimen barcode matching, then exact matching, and lastly caliper matching. Performance measures were sensitivity and positive predictive value (PPV); share of patients linked across databases; and percent increase in data points for each linkage approach.
Results: We attempted to link 2,017,290 lab results from TIER.Net (representing 523,558 unique patients) and 2,414,059 lab results from the NHLS database. Linkage performance was evaluated using specimen barcodes (available for a minority of records in TIER.net) as a “gold standard”. Exact matching achieved a sensitivity of 69.0% and PPV of 95.1%. Caliper-matching achieved a sensitivity of 75.7% and PPV of 94.5%. In sequential linkage, we matched 41.9% of TIER.Net labs by specimen barcodes, 51.3% by exact matching, and 6.8% by caliper matching, for a total of 71.9% of labs matched, with PPV=96.8% and Sensitivity= 85.9%. The sequential approach linked 86.0% of TIER.Net patients with at least one lab result to the NHLS database (N=1,450,087). Linkage to the NHLS Cohort increased the number of laboratory results associated with TIER.Net patients by 62.6%.
Conclusions: Linkage of TIER.Net and NHLS without patient identifiers attained high accuracy and yield without compromising patient privacy. The integrated cohort provides a more complete view of patients’ lab history and could yield more accurate estimates of HIV program indicators.
Metaheuristic Model of Gene Selection for Deep Learning Early Prediction of Cancer Disease Using Gene Expression Data
Authors: Joshi Amol Avinash , Aziz Rabia Musheer 
Published: May 2023

Abstract
Cancer prediction in the early stage is a topic of major interest in medicine since it allows accurate and efficient actions for successful medical treatments of cancer. Mostly cancer datasets contain various gene expression levels as features with less samples, so firstly there is a need to eliminate similar features to permit faster convergence rate of prediction algorithms. These features (genes) enable us to identify cancer disease, choose the best prescription to prevent cancer and discover deviations amid different techniques. To resolve this problem, proposed a hybrid novel technique CSSMO, based feature selection for cancer prediction. First, combine the use of Spider Monkey Optimization (SMO) along with Cuckoo search (CS) algorithm viz. CSSMO for feature selection, which helps to combine the benefit of both metaheuristic algorithms to discover a subset of genes which helps to predict a cancer disease in early stage. Next, these subsets of genes are classified using Deep Learning (DL) to identify different groups or classes related to a particular cancer disease. Six different datasets have utilized to analyze the performance of the proposed approach in terms of cancer sample classification and prediction with Recall, Precision, F1-Score, and confusion matrix. Proposed gene selection method with DL achieves much better prediction accuracy than other existing Deep Learning (DL) and Machine learning models with a large gene expression datasets.
Anoikis-related genes signature development for kidney renal clear cell carcinoma prognosis and tumor microenvironment
Authors: wang Zhengyan , Wang Ying , Yan Jing , Zhang Yinzhen , Hou Yulong , Wang Xukai 
Published: May 2023

Abstract
Kidney renal clear cell carcinoma (KIRC) is one of the most common primary malignancies of the urinary tract, highly heterogeneous, and increasing in incidence worldwide. Anoikis is a specific type of programmed cell death in which solid tumor cells or normal epithelial cells that do not have metastatic properties lose adhesion to the extracellular matrix (ECM) or undergo inappropriate cell adhesion-induced apoptosis. Anoikis is thought to play a critical role in tumorigenesis, maintenance, and treatment, according to an increasing amount of research. However, there is still some uncertainty regarding the general impact of anoikis-related genes (ARGs) on the prognostic importance, tumor microenvironment (TME) characteristics, and treatment reaction of KIRC patients. For this study, we used The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets to access the RNA sequencing results and clinical information from KIRC patients. 29 ARGs related to survival were found using differential analysis and univariate Cox regression analysis. The samples were then divided into two clusters that had different immune traits via unsupervised cluster analysis using 29 prognosis-associated differently expressed ARGs. Then, to build an ARGs signature, 7 genes (PLAU, EDA2R, AFP, PLG, TUBB3, APOBEC3G, and MALAT1) were found using Least Absolute Shrinkage and Selection Operator (LASSO) regression analysis. The new ARGs signature demonstrated outstanding prognostic capability for KIRC patients' overall survival (OS). On the basis of the clinical parameters (gender, tumor grade, age, and stage) and the ARGs risk score, a clinical nomogram was created. This nomogram demonstrated excellent predictive value. In addition, patients that were categorized based on risk ratings also exhibited distinguishing immunological traits and medication sensitivity. In conclusion, for KIRC patients, we created an ARGs signature that strongly connects to immunological traits and therapy response. Clinicians may find this ARGs signature helpful in developing more individualized and detailed treatment strategies for KIRC patients.
Suspension of the penis – dissection, anatomical description and highlighting of anatomical risks in sectioning the suspensory ligaments
Authors: Filipoiu Florin Mihail , Ion Radu Tudor , Filipoiu Zoran Florin , Tulin Adrian Daniel , Enciu Octavian , Enyedi Mihaly 
Published: May 2023

Abstract
Introduction. The suspension of the penis is provided by two ligaments: fundiform and suspensory. These ligaments are sectioned during some augmentative surgical procedures. The structure, the relations and the variability of these ligaments have been demonstrated. The penile neurovascular bundle and its relationships have also been emphasized. A clear knowledge of these details should ensure a reduction of the risk of surgical injury during augmentation procedures.
Material and methods. We dissected the ligaments providing the suspension of the penis in 7 formalized corpses. We identified, for each of the ligaments, the origin, the insertion and the relations. The dissection pieces were photographed and the images obtained were discussed upon.
Results. We described the variability of the anatomical distribution and highlighted the relations with the vascular and nervous structures for each of these ligaments. The anatomical variability of the fascia and the relations with the baseof the penis were also emphasized. For the suspensory ligament, we identified three groups of fibers through which it is attached to the penile body.
Conclusions. The dissections were conducted in layers, corresponding to the operative stepsfor the penile augmentation procedures. We believe that our study highlights the anatomical basis necessary to safely perform these surgeries. The study contributes to the description of the anatomical variability of the ligaments and logically presents details that contribute to preventing most surgical incidents.
Big Data and AI-driven Product Design: A Survey
Authors: Quan Huafeng , Li Shaobo , Zeng Changchang , Wei Hongjing , Hu Jianjun 
Published: May 2023

Abstract
As living standards improve, modern products need to meet increasingly diversified and personalized user requirements. Traditional product design methods fall short due to their strong subjectivity, limited survey scope, lack of real-time data, and poor visual display. However, recent progress in big data and artificial intelligence (AI) are bringing a transformative big data and AI driven product design methodology with significant impact on many industries. Big data in the product lifecycle contains valuable information, such as customer preferences, market demands, product evaluation, and visual display: online product reviews reflect customer evaluations and requirements, while product images contain shape, color, and texture information that can inspire designers to quickly generate initial design schemes or even new product images. This survey provides a comprehensive review on big data and AI-driven product design, focusing on how big data of various modalities can be processed, analyzed, and exploited in aiding product design using AI algorithms. It identifies the limitations of traditional product design methods and shows how textual, image, audio, and video data in product design cycles can be utilized to achieve much more intelligent product design. We finally discuss the major deficiencies of existing data-driven product design studies and outline promising future research directions and opportunities, aiming to draw increasing attention to modern AI-driven product design.
EEG functional connectivity in infants at elevated familial risk for autism spectrum disorder
Authors: O’Reilly Christian , Huberty Scott , Noordt Stefon , Desjardins James , Wright Nicky , Scorah Julie , Webb Sara Jane , team BASIS , Elsabbagh Mayada 
Published: May 2023

Abstract
Background: Many studies have reported that autism spectrum disorder (ASD) is associated with atypical structural and functional connectivity. However, relatively little is known about the development of these differences in infancy and on how trajectories may vary between sexes.
Methods: We used the International Infant EEG Platform (EEG-IP), a high-density electroencephalogram (EEG) dataset pooled from two independent infant sibling cohorts, to characterize such neurodevelopmental deviations during the first years of life. EEG was recorded at 6, 12, and 18 months of age at typical (N=97) or high familial risk for ASD (N=98), determined by the presence of an older sibling with a confirmed ASD diagnosis. We computed the functional connectivity between cortical EEG sources during video watching using the corrected imaginary part of phase-locking values.
Results: Our findings showed low regional specificity for group differences in functional connectivity but revealed different sex-specific trajectories between females and males in the group of high-risk infants. Specifically, functional connectivity was negatively correlated with ADOS calibrated severity scores, particularly at 12 months for the social affect score for females and for the restrictive and repetitive behaviors for males.
Limitations: This study has been limited mostly due to issues related to the relatively small effective sample size inherent in sibling studies, particularly for diagnostic group comparisons.
Conclusions: These results are consistent with sex differences in ASD observed in previous research and provide further insights into the role of functional connectivity in these differences.
Congenital external carotid-internal carotid artery anastomosis: a report of three cases and literature review
Authors: Uchino Akira , Suzuki Jun , Baba Yasutaka 
Published: May 2023

Abstract
Purpose Congenital external carotid-internal carotid artery (EC-ICA) anastomosis is a cervical arterial variation that was initially reported, based on anatomic dissection, from Japan in 2000. The purpose of this report is to show the characteristic radiological findings of this extremely rare cervical arterial variation.Methods We analyzed nine cases, including six previously reported cases and three cases that we recently experienced. Three of the six previously reported cases were from Japan, and the remaining three cases were from Korea. MR angiography (4), CT angiography (2), catheter angiography (2) and autopsy (1) were used as diagnostic modalities.Results The study population included eight men and one woman. Anastomosis was seen on the left side in seven cases and the right side in two cases, and it was located at the level of the C1/2-C2/3 intervertebral space. In all cases, ECA was larger than the ICA at the level of their origins. In four cases, the ICA was extremely small in caliber. In one case, the ICA may have been occluded postnatally, and its configuration was similar to that of the nonbifurcating cervical carotid artery (CCA). With the exception of this occluded case, the carotid bifurcation and EC-ICA anastomosis formed a large arterial ring in all cases.Conclusion EC-ICA anastomosis can be regarded as a variant of the nonbifurcating CCA because if the most proximal segment of the small ICA is occluded, nonbifurcating CCA may form. EC-ICA anastomosis is located between the C1/2-C2/3 intervertebral space and may be formed by the remnants of the proatlantal artery I.
Two-dimensional population receptive field mapping of human primary somatosensory cortex
Authors: Asghar Michael , Sanchez-Panchuelo Rosa , Schluppeck Denis , Francis Susan 
Published: May 2023

Abstract
Functional magnetic resonance imaging (fMRI) can provide detailed maps of how sensory space is mapped in the human brain. Here, we use a novel 16 stimulator setup (a 4x4 grid) to measure two-dimensional sensory maps of between and within-digit (D2-D4) space using high spatial-resolution (1.25 mm isotropic) imaging at 7 Tesla together with population receptive field (pRF) mapping in 10 participants. Using a 2D Gaussian pRF model, we capture maps of the coverage of digits D2-D5 across Brodmann areas and estimate pRF size and shape. In addition, we compare results to previous studies that used fewer stimulators by constraining pRF models to a 1D Gaussian Between Digit or 1D Gaussian Within Digit model. We show that pRFs across somatosensory areas tend to have a strong preference for pRFs to cover the within-digit axis. We show an increase in pRF size moving from D2-D5. We quantify pRF shapes in Brodmann area (BA) 3b,3a,1,2 and show differences in pRF size in Brodmann areas 3a-2, with larger estimates for BA2. Generally, the 2D Gaussian pRF model better represents pRF coverage maps generated by our data, which itself is produced from a 2D stimulation grid.
Intelligent Motion Detector: Compositing Reversibly-Crosslinkable Polymer Films with Encapsulated Electrodes and Cognitive Convolutional Neural Networks
Authors: Choi Su Bin , Shin Hyun Sik , Kim Jong-Woong 
Published: May 2023

Abstract
This paper presents the design, fabrication, and implementation of a novel composite film, polybutadiene-based urethane (PBU)/AgNW/PBU sensor (PAPS), demonstrating remarkable mechanical stability and precision in motion detection. The sensor capitalizes on the integration of Ag nanowire (AgNW) electrodes into a neutral plane, embedded within a reversibly crosslinkable PBU polymer. The meticulous arrangement mitigates pore and interface formation, resulting in enhanced mechanical robustness, reproducibility, and long-term reliability. The PBU polymer underwent electrospinning and sequential Diels-Alder (DA) and retro-DA reactions, creating a planarized encapsulation layer. This encapsulation, matching the thickness of the pre-formed PBU film, effectively houses the AgNW electrodes. The PAPS outperforms conventional AgNW/PBU sensors (APS) in terms of mechanical stability and bending insensitivity. When affixed to various body parts, the PAPS generates distinctive signal curves, reflecting the specific body part and degree of motion involved. The PAPS sensor's utility is further magnified by the application of machine learning and deep learning algorithms for signal interpretation. K-means clustering algorithm authenticated the superior reproducibility and consistency of the signals derived from the PAPS over the APS. Deep learning algorithms, including a singular 1D Convolutional Neural Network (1D CNN), Long Short-Term Memory (LSTM) network, and dual-layered combinations of 1D CNN + LSTM and LSTM + 1D CNN, were deployed for signal classification. The singular 1D CNN model displayed a remarkable classification accuracy exceeding 98%. The PAPS sensor signifies a pivotal development in the domain of intelligent motion sensors.
EYA4 drives breast cancer progression and metastasis through its novel role in replication stress avoidance.
Authors: Avalos Bárbara de la Peña , Tropée Romain , Duijf Pascal H. G. , Dray Eloïse 
Published: May 2023

Abstract
The Eyes Absent (EYA) family of proteins is an atypical group of four dual-functioning protein phosphatases, which have been linked to many vital cellular processes and organogenesis pathways. Like the other isoforms, EYA4 possesses transcriptional activation and phosphatase functions, with serine/threonine and tyrosine phosphatase domains. EYA4 has been associated with several human cancers, with tumor-suppressing and tumor-promoting roles. However, EYA4 is the least well-characterized member of this unique family of phosphatases, with its biological functions and molecular mechanisms in cancer progression, particularly in breast cancer, still largely unknown. In the present study, we found that the over-expression of EYA4 in breast tissue leads to an aggressive and invasive breast cancer phenotype, while the inhibition of EYA4 reduced tumorigenic properties of breast cancer cells in vitro and in vivo. Cellular changes downstream of EYA4, including cell proliferation and migration, may explain the increased metastatic power of breast cancer cells over-expressing EYA4. Mechanistically, EYA4 prevents genome instability by inhibiting the accumulation of replication-associated DNA damage. Its depletion results in polyploidy as a consequence of endoreplication, a phenomenon that can occur in response to stress. The absence of EYA4 leads to spontaneous replication stress characterized by the activation of the ATR pathway, sensitivity to hydroxyurea, and accumulation of endogenous DNA damage as indicated by increased γH2AX levels. In addition, we show that EYA4, specifically its serine/threonine phosphatase domain, plays an important and so far, unexpected role in replication fork progression. This phosphatase activity is essential for breast cancer progression and metastasis. Taken together, our data indicate that EYA4 is a novel breast cancer oncogene that supports primary tumor growth and metastasis. Developing therapeutics aimed at the serine/threonine phosphatase activity of EYA4 represents a robust strategy for killing breast cancer cells, to limit metastasis and overcome chemotherapy resistance caused by endoreplication and genomic rearrangements.
Role of Prone SPECT Myocardial Perfusion Imaging in Patients with Equivocal or Abnormal Supine Myocardial Perfusion SPECT
Authors: dilawar hasnain , Habib Salman , Memon Atif 
Published: May 2023

Abstract
Introduction: Combined supine-prone myocardial perfusion SPECT (MPS) has been shown to reduce attenuation artifact in comparison to supine-only MPS in mixed gender populations with varying risk for coronary artery disease. The aim of this study is to determine whether the additional prone MPS has an advantage over the supine only MPS in determining the diagnostic value of myocardial perfusion SPECT inpatient with known and unknown coronary artery disease.
Material& Methods: This prospective study was performed on 93 patients, divided into two major groups patients with known coronary artery disease and without known coronary artery disease. The duration of this study was 06 months including 03 months for clinical follow up. All patients who were assessed using standard stress supine protocol in addition to stress prone includedwho were observed either inferior, anterior or antero-septal wall perfusion defect in the stress supinestudy and they were underwent stress prone using coronary angiography as gold standard evaluating coronary artery disease.
Results: Total n=93 patients were enrolled in this prospective study and divided into two main categories. Group I (n=29) included 31% of study population with known coronary artery disease and Group II (n=64) comprises of 69% of study population with no prior history of coronary artery disease. Prone imaging correctly revealed defect improvement in 72 (77%) patients (72/93) with perfusion defects in anterior and inferior wall. Chi-Square (Pearson) test was applied for statistical analysis which revealed p value of “0.005”. Sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy of prone stress MPS in Group-I was calculated as 92%, 80%, 96%, 67% &90% while in Group-I these values were 86%, 81%, 80%, 87% and 83.3% respectively. The combined sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy of prone stress was 89.5%, 81%, 89.5%, 81% & 86.4%.
Conclusion: It is concluded that the addition of prone MPS with supine MPS overcomes soft tissue attenuation artifact hence decreases the false positive rates and preventing unnecessary further investigations and improves diagnostic accuracy.