bluuebunny/crossref_metadata_2025_split huggingface dataset:
A branch and cut algorithm to optimize a weighted sum-of-ratios in multiobjective mixed-integer fractional programming
Authors: Costa João Paulo , Alves Maria João 
Published: August 2024

AbstractMultiobjective linear fractional programming is useful to model multiobjective problems where all or some of the objective functions are a ratio or proportion of one linear/affine function to another linear/affine function. In practice, many of such problems include integer variables. If the weighted-sum scalarization is used to compute efficient solutions to the multiobjective problem, then the scalar problem to be solved for each weight vector turns out to be a weighted sum-of-ratios. There are several algorithms reported in the literature to optimize weighted sum-of-ratios, but almost all of them cannot deal with integer variables. In this paper we propose a Branch & Cut algorithm to optimize weighted-sums of the objective functions in multiobjective mixed integer fractional programming (MOMIFP). Several theoretical properties that support the algorithm are presented and proved. Computational experiments with randomly generated general problems are presented and discussed, which show that the algorithm is able to deal with practical MOMIFP problems.
Performance of amide proton transfer imaging to differentiate true progression from therapy-related changes in gliomas and metastases
Authors: Essed Rajeev A. , Prysiazhniuk Yeva , Wamelink Ivar J. , Azizova Aynur , Keil Vera C. 
Published: August 2024

Abstract

Objectives
Differentiating true progression or recurrence (TP/TR) from therapy-related changes (TRC) is complex in brain tumours. Amide proton transfer-weighted (APT) imaging is a chemical exchange saturation transfer (CEST) MRI technique that may improve diagnostic accuracy during radiological follow-up. This systematic review and meta-analysis elucidated the level of evidence and details of state-of-the-art imaging for APT-CEST in glioma and brain metastasis surveillance.

Methods
PubMed, EMBASE, Web of Science, and Cochrane Library were systematically searched for original articles about glioma and metastasis patients who received APT-CEST imaging for suspected TP/TR within 2 years after (chemo)radiotherapy completion. Modified Quality Assessment of Diagnostic Accuracy Studies-2 criteria were applied. A meta-analysis was performed to pool results and to compare subgroups.

Results
Fifteen studies were included for a narrative synthesis, twelve of which (500 patients) were deemed sufficiently homogeneous for a meta-analysis. Magnetisation transfer ratio asymmetry performed well in gliomas (sensitivity 0.88 [0.82–0.92], specificity 0.84 [0.72–0.91]) but not in metastases (sensitivity 0.64 [0.38–0.84], specificity 0.56 [0.33–0.77]). APT-CEST combined with conventional/advanced MRI rendered 0.92 [0.86–0.96] and 0.88 [0.72–0.95] in gliomas. Tumour type, TR prevalence, sex, and acquisition protocol were sources of significant inter-study heterogeneity in sensitivity (I
2 = 62.25%; p < 0.01) and specificity (I
2 = 66.31%; p < 0.001).

Conclusion
A growing body of literature suggests that APT-CEST is a promising technique for improving the discrimination of TP/TR from TRC in gliomas, with limited data on metastases.

Clinical relevance statement
This meta-analysis identified a utility for APT-CEST imaging regarding the non-invasive discrimination of brain tumour progression from therapy-related changes, providing a critical evaluation of sequence parameters and cut-off values, which can be used to improve response assessment and patient outcome.

Key Points

Therapy-related changes mimicking progression complicate brain tumour treatment.

Amide proton imaging improves the non-invasive discrimination of glioma progression from therapy-related changes.

Magnetisation transfer ratio asymmetry measurement seems not to have added value in brain metastases.
Perioperative and extended outcomes of patients undergoing parastomal hernia repair following cystectomy and ileal conduit
Authors: Haque Taseen F. , Ghoreifi Alireza , Sheybaee Moghaddam Farshad , Kaneko Masatomo , Ginsberg David , Sotelo Rene , Gill Inderbir , Desai Mihir , Aron Monish , Schuckman Anne , Daneshmand Siamak , Djaladat Hooman 
Published: August 2024

Abstract
Purpose
To report perioperative and long-term postoperative outcomes of cystectomy patients with ileal conduit (IC) urinary diversion undergoing parastomal hernia (PSH) repair.

Method
We reviewed patients who underwent cystectomy and IC diversion between 2003 and 2022 in our center. Baseline variables, including surgical approach of PSH repair and repair technique, were captured. Multivariable Cox regressionanalysis was performed to test for the associations between different variables and PSH recurrence.

Results
Thirty-six patients with a median (IQR) age of 79 (73–82) years were included. The median time between cystectomy and PSH repair was 30 (14–49) months. Most PSH repairs (32/36, 89%) were performed electively, while 4 were due to small bowel obstruction. Hernia repairs were performed through open (n=25), robotic (10), and laparoscopic approaches (1). Surgical techniques included direct repair with mesh (20), direct repair without mesh (4), stoma relocation with mesh (5), and stomarelocation without mesh (7). The 90-day complication rate was 28%. In a median follow-up of 24 (7–47) months, 17 patients (47%) had a recurrence. The median time to recurrence was 9 (7–24) months. On multivariable analysis, 90-day complication following PSH repair was associated with an increased risk of recurrence.

Conclusions
In this report of one of the largest series of PSH repair in the Urology literature, 47% of patients had a recurrence following hernia repair with a median follow-up time of 2 years. There was no significant difference in recurrence rates when comparing repair technique or the use of open or minimally invasive approaches.
Extensive macular atrophy with pseudodrusen-like appearance: comprehensive review of the literature
Authors: Carlà Matteo Mario , Giannuzzi Federico , Boselli Francesco , Crincoli Emanuele , Rizzo Stanislao 
Published: August 2024

Abstract
Purpose
This review focuses on extensive macular atrophy with pseudodrusen-like appearance (EMAP), a recently described maculopathy presenting with pseudodrusen-like lesions and chorioretinal atrophy more pronounced in the vertical axis.

Methods
Narrative review of the literature published until May 2024.

Results
The early onset age of EMAP (50–55 years) and its distinctive natural history, which includes night blindness followed by severe vision loss, differentiate it from atrophic age-related macular degeneration (AMD). A clear pathogenesis has not been determined, but risk factors include female gender and complement system abnormalities (altered levels of C3 and CH50). Moreover, lifelong exposure to pesticides has been suggested as risk factor for direct neuronal degeneration involving rods and cones. In the early phase of the disease, reticular pseudodrusen-like lesions appear in the superior perifovea and tend to coalescence horizontally into a flat, continuous, reflective material localized between the retinal pigmented epithelium and Bruch’s membrane. Over time, EMAP causes profound RPE and outer retinal atrophy in the macular area, with a recent classification reporting a 3-stages evolution pattern. Blue autofluorescence showed rapidly evolving atrophy with either hyperautofluorescent or isoautofluorescent borders. Significant similarities between the diffuse-trickling phenotype of geographic atrophy and EMAP have been reported. Macular neovascularization is a possible complication.

Conclusion
EMAP is specific form of early-onset atrophic macular degeneration with rapid evolution and no treatment. Further studies are needed to assess the best management.
Conditional image-to-image translation generative adversarial network (cGAN) for fabric defect data augmentation
Authors: Mohammed Swash Sami , Clarke Hülya Gökalp 
Published: August 2024

AbstractThe availability of comprehensive datasets is a crucial challenge for developing artificial intelligence (AI) models in various applications and fields. The lack of large and diverse public fabric defect datasets forms a major obstacle to properly and accurately developing and training AI models for detecting and classifying fabric defects in real-life applications. Models trained on limited datasets struggle to identify underrepresented defects, reducing their practicality. To address these issues, this study suggests using a conditional generative adversarial network (cGAN) for fabric defect data augmentation. The proposed image-to-image translator GAN features a conditional U-Net generator and a 6-layered PatchGAN discriminator. The conditional U-Network (U-Net) generator can produce highly realistic synthetic defective samples and offers the ability to control various characteristics of the generated samples by taking two input images: a segmented defect mask and a clean fabric image. The segmented defect mask provides information about various aspects of the defects to be added to the clean fabric sample, including their type, shape, size, and location. By augmenting the training dataset with diverse and realistic synthetic samples, the AI models can learn to identify a broader range of defects more accurately. This technique helps overcome the limitations of small or unvaried datasets, leading to improved defect detection accuracy and generalizability. Moreover, this proposed augmentation method can find applications in other challenging fields, such as generating synthetic samples for medical imaging datasets related to brain and lung tumors.
Vpit: real-time embedded single object 3D tracking using voxel pseudo images
Authors: Oleksiienko Illia , Nousi Paraskevi , Passalis Nikolaos , Tefas Anastasios , Iosifidis Alexandros 
Published: August 2024

AbstractIn this paper, we propose a novel voxel-based 3D single object tracking (3D SOT) method called Voxel Pseudo Image Tracking (VPIT). VPIT is the first method that uses voxel pseudo images for 3D SOT. The input point cloud is structured by pillar-based voxelization, and the resulting pseudo image is used as an input to a 2D-like Siamese SOT method. The pseudo image is created in the Bird’s-eye View (BEV) coordinates; and therefore, the objects in it have constant size. Thus, only the object rotation can change in the new coordinate system and not the object scale. For this reason, we replace multi-scale search with a multi-rotation search, where differently rotated search regions are compared against a single target representation to predict both position and rotation of the object. Experiments on KITTI [1] Tracking dataset show that VPIT is the fastest 3D SOT method and maintains competitive Success and Precision values. Application of a SOT method in a real-world scenario meets with limitations such as lower computational capabilities of embedded devices and a latency-unforgiving environment, where the method is forced to skip certain data frames if the inference speed is not high enough. We implement a real-time evaluation protocol and show that other methods lose most of their performance on embedded devices; while, VPIT maintains its ability to track the object.
Incremental federated learning for traffic flow classification in heterogeneous data scenarios
Authors: Pekar Adrian , Makara Laszlo Arpad , Biczok Gergely 
Published: August 2024

AbstractThis paper explores the comparative analysis of federated learning (FL) and centralized learning (CL) models in the context of multi-class traffic flow classification for network applications, a timely study in the context of increasing privacy preservation concerns. Unlike existing literature that often omits detailed class-wise performance evaluation, and consistent data handling and feature selection approaches, our study rectifies these gaps by implementing a feed-forward neural network and assessing FL performance under both independent and identically distributed (IID) and non-independent and identically distributed (non-IID) conditions, with a particular focus on incremental training. In our cross-silo experimental setup involving five clients per round, FL models exhibit notable adaptability. Under IID conditions, the accuracy of the FL model peaked at 96.65%, demonstrating its robustness. Moreover, despite the challenges presented by non-IID environments, our FL models demonstrated significant resilience, adapting incrementally over rounds to optimize performance; in most scenarios, our FL models performed comparably to the idealistic CL model regarding multiple well-established metrics. Through a comprehensive traffic flow classification use case, this work (i) contributes to a better understanding of the capabilities and limitations of FL, offering valuable insights for the real-world deployment of FL, and (ii) provides a novel, large, carefully curated traffic flow dataset for the research community.
The Principles of Evaluating the Risk of Rock and Gas Outburst in Copper Ore Mines
Authors: Skoczylas Norbert , Kozieł Katarzyna , Sitek Libor 
Published: August 2024

AbstractRock and gas outburst is one of the most significant natural hazards faced by the mining industry. In the last decade, this issue has appeared in firm rock mining (including copper ore mines) in addition to coal mining. A number of methods have been developed for coal mining to assess the hazard posed by gasogeodynamic phenomena, but in the case of copper ore mines, no studies have led to forecasts of this risk. To face the challenge, the authors decided to propose their own concept of risk assessment principles based on a threshold analysis of the phenomenon and a continuous analysis using fuzzy logic. A series of tests were performed to support the paper, investigating selected parameters which directly affect the risk. The evaluation principles for gasogeodynamic phenomena presented herein were the result of experimental investigations carried out by the authors.
Design, synthesis, and biological evaluation of novel halogenated chlorido[N,N′-bis(salicylidene)-1,2-bis(3-methoxyphenyl)ethylenediamine]iron(III) complexes as anticancer agents
Authors: Bernkop-Schnürch Astrid Dagmar , Huber Klaus , Clauser Armida , Cziferszky Monika , Leitner Daniel , Talasz Heribert , Hermann Martin , Hohloch Stephan , Gust Ronald , Kircher Brigitte 
Published: August 2024

AbstractIron(III) complexes based on N,N´-bis(salicylidene)ethylenediamine (salene) scaffolds have demonstrated promising anticancer features like induction of ferroptosis, an iron dependent cell death. Since poor cellular uptake limits their therapeutical potential, this study aimed to enhance the lipophilic character of chlorido[N,N′-bis(salicylidene)-1,2-bis(3-methoxyphenyl)ethylenediamine]iron(III) complexes by introducing lipophilicity improving ligands such as fluorine (X1), chlorine (X2) and bromine (X3) in 5-position in the salicylidene moieties. After detailed characterization the binding to nucleophiles, logP values and cellular uptake were determined. The complexes were further evaluated regarding their biological activity on MDA-MB 231 mammary carcinoma, the non-tumorous SV-80 fibroblast, HS-5 stroma and MCF-10A mammary gland cell lines. Stability of the complexes in aqueous and biological environments was proven by the lack of interactions with amino acids and glutathione. Cellular uptake was positively correlated with the logP values, indicating that higher lipophilicity enhanced cellular uptake. The complexes induced strong antiproliferative and antimetabolic effects on MDA-MB 231 cells, but were inactive on all non-malignant cells tested. Generation of mitochondrial reactive oxygen species, increase of lipid peroxidation and induction of both ferroptosis and necroptosis were identified as mechanisms of action. In conclusion, halogenation of chlorido[N,N′-bis(salicylidene)-1,2-bis(3-methoxyphenyl)ethylenediamine]iron(III) complexes raises their lipophilic character resulting in improved cellular uptake.
Graphical abstract
Effectiveness and safety of rituximab in severely relapsed antineutrophil cytoplasmic antibody–associated vasculitis: a retrospective analysis of a Japanese multicentre cohort from the J-CANVAS
Authors: Kidoguchi Genki , Yoshida Yusuke , Watanabe Hirofumi , Sugimoto Tomohiro , Mokuda Sho , Kida Takashi , Yajima Nobuyuki , Omura Satoshi , Nakagomi Daiki , Abe Yoshiyuki , Kadoya Masatoshi , Takizawa Naoho , Nomura Atsushi , Kukida Yuji , Kondo Naoya , Yamano Yasuhiko , Yanagida Takuya , Endo Koji , Matsui Kiyoshi , Takeuchi Tohru , Ichinose Kunihiro , Kato Masaru , Yanai Ryo , Matsuo Yusuke , Shimojima Yasuhiro , Nishioka Ryo , Okazaki Ryota , Takata Tomoaki , Ito Takafumi , Moriyama Mayuko , Takatani Ayuko , Miyawaki Yoshia , Ito-Ihara Toshiko , Kawaguchi Takashi , Kawahito Yutaka , Hirata Shintaro ,   on behalf of Japan Collaborative Registry of ANCA-Associated Vasculitis (J-CANVAS)
Published: August 2024

AbstractWe aimed to clarify the long-term safety and efficacy of rituximab (RTX) as a remission induction therapy following severe relapse in patients with antineutrophil cytoplasmic antibody (ANCA)–associated vasculitis (AAV). We retrospectively collected the data of patients with severely relapsed AAV from a Japanese multicentre cohort. The primary exposure was RTX use; the primary outcome was complete remission (CR) proportions at week 24. Baseline characteristics were compared between the RTX and non-RTX groups. We performed multivariate logistic regression analysis and one-to-one propensity score matching analysis as a sensitivity analysis. Totally, 100 patients were enrolled: 52 in the RTX group and 48 in the non-RTX group. Baseline characteristics were comparable between the two groups, except for age, AAV subtype and ANCA serotype. The median age was 71 vs. 75 years, and the PR3-ANCA positivity rate was 44.2% vs. 18.8% in the RTX and non-RTX groups, respectively. No significant difference was observed in CR proportions at week 24 between the two groups (79.2% vs. 68.1%, p = 0.321), with an adjusted odds ratio of 1.27 (95% confidence interval [CI] 0.47–3.51). At week 48, CR proportions were significantly higher in the RTX group (91.7% vs. 64.9%, p = 0.005), with an adjusted odds ratio of 2.95 (95% CI 0.97–9.91). Serious infection rates were lower in the RTX group than in the non-RTX group, with no statistically significant difference. RTX was not superior to conventional immunosuppressive therapies at week 24 but showed significantly favourable results at week 48 for severely relapsed AAV.

Key Points

• RTX might be superior to traditional treatments as an induction therapy for severely relapsed AAV.• RTX has the potential to sustain long-term remission with fewer occurrences of infections in the treatment of severely relapsed AAV.
Predicting satisfaction with democracy in Germany using local economic conditions, social capital, and individual characteristics
Authors: Friehe Tim , Pfeifer Christian 
Published: August 2024

AbstractThis paper explores the empirical relationship between local economic conditions, social capital, and individual characteristics on the one hand and satisfaction with democracy on the other hand, using detailed information from the German Socio-Economic Panel. In contrast to previous literature, we focus on economic conditions at the state level instead of the national one. We find that local economic conditions, proxies of social capital, and individual characteristics (e.g., risk attitude, reciprocity, past unemployment experience) are important correlates of satisfaction with democracy and that some heterogeneity between genders, West and East Germany, and people with and without college degree exists in the data.
Real-world experience with CDK4/6 inhibitors in hormone receptor-positive metastatic and recurrent breast cancer: findings from an Asian population
Authors: Chen Bo-Fang , Tsai Yi-Fang , Chao Ta-Chung , Lien Pei-Ju , Lin Yen-Shu , Feng Chin-Jung , Chen Yen-Jen , Cheng Han-Fang , Liu Chun-Yu , Lai Jiun-I , Tseng Ling-Ming , Huang Chi-Cheng 
Published: August 2024

Abstract
Purpose
Cyclin-dependent kinase 4/6 inhibitors (CDK4/6i) combined with endocrine therapy have demonstrated significant clinical benefits in progression-free and overall survival. This study investigates the outcomes associated with two kinds of CDK4/6i in patients with hormone receptor (HR)-positive metastatic and relapsed breast cancer to inform real-world evidence of treatment strategies.

Methods
This retrospective study included 340 Taiwanese patients with HR-positive advanced breast cancer from the Taipei Veterans General Hospital, between 2018 and 2023. We analyzed patient characteristics, treatment strategies and outcomes associated with two CDK4/6i. The efficacy of patients who experienced economic burden and interrupted CDK4/6i treatment after 2 years of National Health Insurance (NHI) reimbursement was also investigated.

Results
Patients receiving ribociclib and palbociclib showed no significant differences in age, histology, body mass index(BMI), or pathologic status. The distribution of disease status and endocrine therapy partners was comparable between the two groups. Dose reduction was similar, while patients with palbociclib tended to discontinue CDK4/6i usage, and those with ribociclib tended to switch to the other CDK4/6i or endocrine partners. There was no significant difference in progression-free survival (PFS) between the two CDK4/6i in the first-line setting. Adverse prognostic factors were increasing HER2 IHC score, higher Ki-67 levels, visceral and liver metastasis, prior chemotherapy, and endocrine therapy resistance, while higher BMI, bone-only metastasis, and letrozole treatment were associated with a lower risk of progression. The limited follow-up time in our study was insufficient to assess the outcomes of patients treated with interrupted CDK4/6i for up to two years under the NHI reimbursement policy.

Conclusion
Treatment outcomes between the two types of CDK4/6i did not differ significantly, indicating the safety and efficacy of CDK4/6i for the Asian population. Ribociclib and palbociclib showed similar efficacy in PFS in the real-world setting.
Domain generalization for semantic segmentation: a survey
Authors: Rafi Taki Hasan , Mahjabin Ratul , Ghosh Emon , Ko Young-Woong , Lee Jeong-Gun 
Published: August 2024

AbstractDeep neural networks (DNNs) have proven explicit contributions in making autonomous driving cars and related tasks such as semantic segmentation, motion tracking, object detection, sensor fusion, and planning. However, in challenging situations, DNNs are not generalizable because of the inherent domain shift due to the nature of training under the i.i.d. assumption. The goal of semantic segmentation is to preserve information from a given image into multiple meaningful categories for visual understanding. Particularly for semantic segmentation, pixel-wise annotation is extremely costly and not always feasible. Domain generalization for semantic segmentation aims to learn pixel-level semantic labels from multiple source domains and generalize to predict pixel-level semantic labels on multiple unseen target domains. In this survey, for the first time, we present a comprehensive review of DG for semantic segmentation. we present a comprehensive summary of recent works related to domain generalization in semantic segmentation, which establishes the importance of generalizing to new environments of segmentation models. Although domain adaptation has gained more attention in segmentation tasks than domain generalization, it is still worth unveiling new trends that are adopted from domain generalization methods in semantic segmentation. We cover most of the recent and dominant DG methods in the context of semantic segmentation and also provide some other related applications. We conclude this survey by highlighting the future directions in this area.