bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association of BRCA1/2 pathogenic variants with primary tumor location and metastatic organotropism in pancreatic adenocarcinoma.
Authors: Hood Ryan , Rathore Srishti , Seewald Nicholas J. , Reiss Kim Anna 
Published: June 2024

4151 Background: Pancreatic cancers (PDACs) with BRCA1/2 pathogenic variants (PVs) are prognostically favorable and predict response to platinum-based treatment. Recent data suggest that these mutations may be more strongly associated with cancers arising from the body/tail (B/T) compared to the head of the pancreas (HOP). Primary tumors of the B/T are known to frequently metastasize to the peritoneum, which is thought to be largely due to anatomic location. We hypothesized that BRCA1/2 PVs may interact with tumor location in determining sites of metastatic spread. Methods: We conducted a retrospective study using a database of patients with BRCA1/2 PVs and PDAC as well as wildtype (WT) control patients matched for age, sex, year and stage at diagnosis. Demographic and clinical data were compared by Fisher’s exact test. Adjusted odds ratios for each site of metastasis or somatic variant were estimated using logistic regression with backwards stepwise AIC minimization. Cases with diagnosed metastases and available next generation somatic sequencing were included in the respective logistic regression models. Results: Patients with BRCA1/2 PVs were more likely to have masses in the B/T compared to control patients [51.6% vs 31.0%; p-value < 0.001]. After adjusting for age, sex, platinum-based chemotherapy, curative-intent surgical resection, and primary location, patients with BRCA1/2 PVs were less likely to develop peritoneal metastases compared to control patients (see table, row 3). Additionally, for patients with B/T masses, the rate of peritoneal spread was significantly lower in those with BRCA1/2PVs compared to those without (OR: 0.41 [0.20, 0.83]). We did not observe a significant association between BRCA1/2 PV and peritoneal spread in patients with HOP masses (OR: 1.09 [0.48, 2.5]). Furthermore, patients with BR CA1/2PVs were significantly less likely to have a TP53 mutation compared to controls (51% vs 71%; p = 0.038). This association persisted after adjusting for the variables described above (see table, row 3). No significant differences were found for mutations in KRAS (83% vs 86%; p = 0.60), SMAD4 (16% vs 13%; p = 0.59), or CDKN2A (19% vs 29%; p = 0.13). Conclusions: Our data suggest that patients with BRCA1/2-related PDAC are more likely to present with B/T masses compared to WT patients, are less likely to have TP53 mutations and are less likely to have peritoneal spread of disease. These data support that the prognostic benefit of BRCA-related PDAC may be linked to a favorable somatic mutation profile. [Table: see text]
Integrated genomic and transcriptomic analysis to predict FOLFIRINOX response in metastatic pancreatic ductal adenocarcinoma.
Authors: Lansbergen Marjolein Francisca , Dings Mark Pui Gien , Koster Jan , Wilmink Johanna , Van Laarhoven Hanneke W.M. , Bijlsma Maarten F. 
Published: June 2024

4153 Background: Given the lack of benefit of first-line chemotherapy (FOLFIRINOX) for a large proportion of metastatic pancreatic ductal adenocarcinoma (mPDAC) patients, predictive markers for treatment outcome are urgently needed. Previous studies showed that transcriptome-based classifiers and homologous recombination deficiency (HRD) associate with outcome in this patient group. Here, we aimed to validate the benefit of RNA and whole genome sequencing (WGS) in predicting treatment outcome in a Dutch mPDAC FOLFIRINOX-treated cohort. Methods: Patients with mPDAC who intended to start FOLFIRINOX were included in the CPCT-02 cohort. 108 patients started FOLFIRINOX and had successful WGS and RNA sequencing of their pretreatment biopsies. 51 mPDAC samples of non-FOLFIRINOX treated patients were also included in the cohort in order to explore the relation between transcriptome-based subtype and somatic mutational status with more power. Transcriptomic subtypes were established according to literature. HRD labels were derived from the previously published CHORD algorithm. Results: 88 percent of the included samples had a KRAS mutation and 82 percent had mutated TP53. The KRAS wild-type patients showed MYC amplifications, gene fusions in NTRK1, NTRK3, BRAF, NRG1, ALK, FGFR2 and RAF1, and mutations in mismatch repair proteins. Patients with a KRAS wild-type tumor had a better survival following FOLFIRINOX treatment (p = 0.009) compared to KRAS mutated tumors. No other mutations were found to be prognostic. As described before, transcriptome-based classification according to Moffitt revealed a cluster of tumors with a “Moffitt-negative” subtype, showing low expression of classical and basal-like signature genes. We found that KRAS wild-type tumors were enriched for this Moffitt negative subtype (p < 0.0001), while they did not have lower tumor cellularity. The gene expression of these Moffitt negative tumors correlated with neural-like and neuroendocrine gene sets. In contrast to previous studies, we did not observe a better response to FOLFIRINOX for patients with an HRD-tumor (OS: p = 0.21, PFS: p = 0.054). We noted an increased expression for the alternative non-homologous end joining pathways in HRD samples (p = 0.049) that might have countered the advantageous effect of HRD. Conclusions: We found that KRAS wild-type tumors do not fit in the classical – basal-like classification schemes. We could not prove a significant prognostic effect for HRD. Both KRAS status and transcriptome-based subgroup were prognostic for FOLFIRINOX treatment response and should therefore be further validated for incorporation in diagnostic practice.
Patient factors related to the real-world adoption of 3 months of adjuvant chemotherapy (ACT) in patients with stage III colorectal cancer (CRC).
Authors: Krishnan Tharani , Leung Emily , Solar Vasconcelos Joao Paulo , Lim Howard J , Loree Jonathan M. , Davies Janine Marie , Gill Karamjit , Gill Sharlene 
Published: June 2024

e15609 Background: Based on the IDEA analysis, 3 months (mos) of ACT with CAPOX is an option for both low-risk and high-risk stage III CRC, with potential resource utilization, cost and toxicity benefits. This study examined the patterns of uptake of CAPOX vs FOLFOX and duration of ACT, focussing on patient factors, in a contemporary post-COVID real-world cohort of patients (pts) in British Columbia, Canada. Methods: The provincial pharmacy database was used to identify pts with resected stage III CRC who received adjuvant CAPOX or FOLFOX from January 2021 to December 2022. Demographic, tumor, and treatment information was collected. Descriptive statistical analyses were performed to examine baseline characteristics and Fisher’s exact test was used to examine univariate associations. Results: 452 pts were included, of which 234 (52%) and 218 (48%) were planned to receive 3 and 6 mos of ACT respectively (see table). Within the 3 mos group, 226 (97%) received CAPOX. Within the 6 mos group, there was a 51%/49% split between CAPOX/FOLFOX. By univariate analysis, age > 70y (P = 0.039), low/intermediate grade (P = 0.005) and low-risk disease (P < 0.0001) were significantly associated with 3 mos of CAPOX. There was no difference in ACT choice with regards to ECOG status, ileostomy or pre-existing neuropathy. 29% of pts planned for 6 mos of ACT had low-risk disease, with 52% of these receiving CAPOX. Patients who received 6mos of ACT were significantly more likely to report neuropathy (68 vs 36%, P < 0.0001) and to stop oxaliplatin early (54 vs 31%, P < 0.0001). The most likely reason for early discontinuation of ACT was neuropathy in the 6mos group and gastrointestinal toxicity in the 3mos group (P < 0.0001). Irrespective of duration, mean time from consult to ACT was longer for FOLFOX vs CAPOX (24 vs 19 days, P = 0.007). Conclusions: In this contemporary cohort, use of 3 mos of adjuvant CAPOX remains low. 6 mos of oxaliplatin is still being offered to pts with low-risk disease, and is associated with more neuropathy warranting early oxaliplatin cessation. Exploration of patient preferences and resource costs may improve more widespread adoption of 3 mos of adjuvant CAPOX in stage III CRC. [Table: see text]
The Fate of “Essential Religious Practices” in India's Constitutional Courts
Authors: Verma Pranav 
Published: June 2024

Abstract
It has been nearly seven decades since the Indian Supreme Court laid down the “essential religious practices” test to determine which religious practices are granted constitutional protection against state regulation. This article surveys the forty-three cases in which the essentiality plea has been raised since its formulation in 1954 until August 2022. Although the essentiality plea has a staggeringly high failure rate of 84 percent before India's constitutional courts, judicial decisions show a shift in legal rationale. The article shows that many of these decisions invariably reflected the socioreligious context of their time. An increase in anti-Muslim religious polarization meant that the fate of the essentiality plea differed depending on the religion of litigants. This judicial treatment of cases stands in stark contrast to the cases decided during the initial decades of the Constitution, when the government was avowedly secular.
“Freedom Is Not Free from Colonialism”
Authors: Kim Sung Eun 
Published: June 2024

Abstract
This article analyzes the augmentation of local Korean men to the US Army and UN Command during the Korean War. Scholars have conventionally interpreted Korean augmentee soldiers as having been vital to solving dire manpower needs and “rescuing” the Republic of Korea. Offering an alternative to such positive appraisals, this article dissects the UN Command and analyzes how the colonial techniques of the US and French militaries facilitated the subordination of Korean soldiers. The author demonstrates how the United States borrowed military practices pioneered by the French at their colonial outposts and implemented them on the Korean Peninsula. This scaffolding of transcolonial practices enabled the US Army to maximize Korean augmentee soldiers as dispensable necropolitical labor. By addressing the transcolonial origins of Korean Augmentation Troops to the US Army, this study reconsiders the Korean War as a historic site for consolidating colonial hierarchies between nations during an ostensibly postcolonial period.
The receptor protein tyrosine phosphatase PTPRK promotes intestinal repair and catalysis-independent tumour suppression
Authors: Young Katherine A. , Wojdyla Katarzyna , Lai Tiffany , Mulholland Katie E. , Aldaz Casanova Silvia , Antrobus Robin , Andrews Simon R. , Biggins Laura , Mahler-Araujo Betania , Barton Philippa R. , Anderson Keith R. , Fearnley Gareth W. , Sharpe Hayley J. 
Published: June 2024

ABSTRACT
PTPRK is a receptor tyrosine phosphatase that is linked to the regulation of growth factor signalling and tumour suppression. It is stabilized at the plasma membrane by trans homophilic interactions upon cell–cell contact. PTPRK regulates cell–cell adhesion but is also reported to regulate numerous cancer-associated signalling pathways. However, the signalling mechanism of PTPRK remains to be determined. Here, we find that PTPRK regulates cell adhesion signalling, suppresses invasion and promotes collective, directed migration in colorectal cancer cells. In vivo, PTPRK supports recovery from inflammation-induced colitis. In addition, we confirm that PTPRK functions as a tumour suppressor in the mouse colon and in colorectal cancer xenografts. PTPRK regulates growth factor and adhesion signalling, and suppresses epithelial to mesenchymal transition (EMT). Contrary to the prevailing notion that PTPRK directly dephosphorylates EGFR, we find that PTPRK regulation of both EGFR and EMT is independent of its catalytic function. This suggests that additional adaptor and scaffold functions are important features of PTPRK signalling.
Are You Ready to Recommend Physical Activity for Pregnant People?
Authors: Davenport Margie H. , Mottola Michelle F. , May Linda E. , Tinius Rachel , McDonald Samantha , Nagpal Taniya S. , Shaw Janet M. 
Published: June 2024

Apply It!
• Prenatal physical activity is associated with approximately a 40% reduction in the odds of developing major pregnancy complications (e.g., preeclampsia, gestational hypertension, gestational diabetes) without increasing the risk of miscarriage, preterm birth, or a small-for-gestational age baby.
• All pregnant individuals who do not have exercise contraindications are encouraged to accumulate 150 minutes of moderate-intensity physical activity each week.
• The Get Active Questionnaire for Pregnancy was developed as a self-administered exercise preparticipation screening tool to identify the small number of individuals who may have a contraindication to prenatal exercise. This document can be used with the Health Care Provider Consultation form for Prenatal Physical Activity to improve communication between the health-care provider, the pregnant individual, and the fitness professional.
Spatial and Temporal Characteristic Analysis based Long Short-Term Memory for Detection of Sensor Fault in Autonomous Vehicles
Authors: Zhang Hongwei , Gao Yanan , Liu Huanxue , Chen Yi 
Published: June 2024

The artificial intelligence required to create self-directed automobiles relies heavily on the capability of precisely perceiving the environment around oneself. Most self-driving automobiles include several detectors, which work together to form a multi-source perception of the surroundings. Extended use of a system that drives autonomously will introduce a variety of worldwide and local failure indications due to the extreme sensitivity of the instruments involved to ambient or environmental situations. These failure indications pose significant risks to the technique’s security. The paper presents a real-time information synthesis system incorporating techniques for identifying flaws and accepting faults. The compact connection can be recognized if the qualities mentioned above are provided, and the input information properties may be retrieved in real-time. One way to use the newly introduced method for assessing device reliability is to compute the detectors’ worldwide and local degrees of trustworthiness. In order to ensure the precision and dependability of information combination, problem data is filtered out, and monitor duplication is used to assess both the worldwide and local assurance levels of data from sensors at the moment. The chronological and geographic association of data from sensors allows for this. Experimental findings show that the network’s algorithms can outperform current techniques in terms of both rapidity and precision and can pinpoint the object’s location even when specific sensors are blurry or broken. This research established that the proposed hybrid structure benefits autonomous vehicles’ real-time reliability and speed.
Stability Evaluation Method of High Fill Loess Foundation Based on Numerical Simulation
Authors: Wu Wenli , Wang Lei , Cheng Jiheng , Hao Renzhuo 
Published: June 2024

In order to understand the stability evaluation method of high fill loess foundation, the author proposes a study on the stability evaluation method of high fill loess foundation based on numerical simulation. The author first established a three-dimensional finite element model of a multi-level high fill slope using PLAXIS 3D software based on a loess high fill slope engineering project in a certain section of northwest China. The study investigated the effects of changes in fill materials, fill boundaries, slopes, and unloading platforms on slope stability. Secondly, based on the vertical and horizontal displacement of the top and foot of each level of slope under step-by-step filling, the distribution pattern of the most dangerous points of each level of slope and the overall deformation trend of the slope were analyzed. The results indicate that the cohesion and internal friction angle of the filling material are key factors affecting the stability of high fill slopes. Reducing the height of the steps at the boundary between the filling and the undisturbed soil, deepening the width of the steps, reducing the slope, and widening the unloading platform can all improve the stability of the slope. During the construction of lower slopes, there is a significant vertical displacement mutation, while the horizontal displacement mutation is relatively slow; After the construction is completed, the deformation situation is good, and the vertical and horizontal displacement of the higher slope during construction changes greatly, with uneven distribution; After the completion of construction, the consolidation settlement period is long and the deformation is large; Emphasis should be placed on strengthening deformation monitoring at high altitudes after construction is completed. Finally, the platform width can be selected within this range based on the actual engineering situation. After the platform width is greater than 3.6m, as sufficient platform width has been reached at this point, further increasing the platform width has little impact on the safety factor, and the curve gradually flattens out. The research results have determined the stability influencing factors, deformation trends, and development laws of loess high fill slopes in the northwest region, providing a scientific basis for further research on deformation control of loess high fill slopes.
Interior Scene Coloring Design Model Combining Improved K-means and SAA
Authors: Xu Jiahui 
Published: June 2024

Due to technological progress and changes in people’s aesthetic standards, traditional design models need to be constantly broken through, seeking more efficient and accurate design methods. Seeking effective design models to improve design efficiency and prediction accuracy is an important task. Therefore, this study proposes an indoor scene coloring design model that combines improved K-means clustering and simulated annealing algorithm for this important task. Based on the analysis of indoor scene coloring, particle swarm optimization algorithm is used to optimize K-means clustering to achieve color classification. Combined with simulated annealing algorithm, adaptive adjustment of lighting conditions is achieved to enhance the naturalness and realism of coloring. These results confirmed that the proposed method had the highest average F-value, with an average F-value of 92.524 and 143.601 on both datasets, respectively. The average ARI values were 0.361 and 0.897, respectively. The designed algorithm performed the best and converged faster than other three. Therefore, the proposed method can effectively ensure the consistency between the distribution of data objects after clustering and the actual situation. For indoor scene coloring design, it has important practical significance and provides new possible paths for improving design efficiency and prediction accuracy.
Dynamic Security Rule Optimization Based on Deep Learning and Adaptive Algorithms
Authors: Hang Feilu , Xie Linjiang , Zhang Zhenhong , Liu Yuting , Hu Jian 
Published: June 2024

Compared with traditional computer network security identification techniques, deep learning algorithms are based on their own distributed network structure for storage, processing, classification, comparison, and automatic identification functions. The distribution and dynamism of cloud databases increase the difficulty of route prediction and recognition in the cloud, affecting the efficiency of cloud computing. In response to the above issues, the author proposes a dynamic path optimization process for cloud databases based on adaptive immune grouping polymorphic ant colony algorithm. By setting up two states of ant colony, reconnaissance ant and search ant, and introducing an adaptive polymorphic ant colony competition strategy, the defect of general ant colony algorithms being prone to falling into local optima is improved; On this basis, an artificial immune algorithm with fast global search capability is further integrated to improve the search ant path optimization process, improving search speed and accuracy. Simulation experiments show that the IPANT algorithm outperforms the other three algorithms, maintaining a throughput of 1000 kbps and relatively stable; The data of OSPF, SPF, and FR are not significantly different, significantly lower than IPANT. The immune polymorphic ant colony algorithm (IPANT) has the lowest time delay for packet routing and performs better than the other three algorithms, with FR and SPF having higher latency. It has been proven that this algorithm can better solve convergence speed and global optimization problems, and can quickly and reasonably find the database to be accessed in the cloud.
Construction of Power System Network Security Defense Behavior Decision-making Model based on Artificial Intelligence Technology
Authors: Hang Feilu , Xie Linjiang , Zhang Zhenhong , Hu Jian 
Published: June 2024

According to the needs of power grid monitoring architecture and information security cooperation protection, this project builds a multi-level, deeply distributed active security cooperation defense mode. A complete implementation method is proposed from the perspective of model architecture and function mechanism. The optimal defense strategy based on grey correlation is studied according to the characteristics of cooperation between regions. In this way, the coordination between the equipment is realized to achieve multi-level protection from the host layer to the security equipment layer and then to the network layer. Multiple detection mechanisms are used to realize the comprehensive detection and integrated judgment of abnormal documents in the cloud environment. This provides maximum protection for cloud users. Experiments show that this method can effectively suppress the malicious attacks of malicious users and reduce the damage caused by viruses. In this way, both the cloud and the customer are protected.
Research on a Human Moving Object Detection Method Based on Gaussian Model and Deep Learning
Authors: Sun Yuma 
Published: June 2024

In order to understand human motion object detection methods, the author proposes a research on human motion object detection method based on Gaussian model. Firstly, traditional Gaussian models are unable to detect complex scenes or slow moving targets. Therefore, an improved Gaussian model based moving object detection algorithm is proposed. Secondly, multiple Gaussian models are used to represent the features of each pixel in the moving target image, and based on the matching of each pixel in the image with the Gaussian model, it is considered as a background point. Conversely, it is based on the principle of the foreground, and the Gaussian model is updated. Finally, by updating the foreground model and calculating short-term stability indicators, the detection effect of moving targets is improved. By determining the Gaussian distribution and pixel relationship, new parameters are set to construct the background model and eliminate the impact caused by sudden changes in lighting. The experimental analysis results show that this method can effectively detect and track moving targets, with good noise resistance, high clarity, and an accuracy rate of up to 99%. Compared with traditional Gaussian model methods, the improved method can more effectively detect moving targets and has better robustness.