bluuebunny/crossref_metadata_2025_split huggingface dataset:
Koszul modules with vanishing resonance in algebraic geometry
Authors: Aprodu Marian , Farkas Gavril , Raicu Claudiu , Weyman Jerzy 
Published: February 2024

AbstractWe discuss various applications of a uniform vanishing result for the graded components of the finite length Koszul module associated to a subspace $$K\subseteq \bigwedge ^2 V$$

K
⊆

⋀
2

V

, where V is a vector space. Previously Koszul modules of finite length have been used to give a proof of Green’s Conjecture on syzygies of generic canonical curves. We now give applications to effective stabilization of cohomology of thickenings of algebraic varieties, divisors on moduli spaces of curves, enumerative geometry of curves on K3 surfaces and to skew-symmetric degeneracy loci. We also show that the instability of sufficiently positive rank 2 vector bundles on curves is governed by resonance and give a splitting criterion.
Co-payment exemption and healthcare consumption: quasi-experimental evidence from Italy
Authors: Cirulli Vanessa , Resce Giuliano , Ventura Marco 
Published: February 2024

AbstractThis paper investigates the causal effect of co-payment exemption on the number of specialist visits in the Italian National Health System. Exploiting a discontinuity in the multiple eligibility criteria, we apply multiple regression discontinuity in a quasi-experimental setting, considering both age and income requirements. Differently from the standard regression discontinuity, this twofold discontinuity allows to identify the effect of co-payment on a particularly needy sub-population of less wealthy people and how it changes according to the eligibility criteria. We find positive effects of co-payment exemption and the effects are stronger for less wealthy and older individuals. The result may be useful to the policy maker to tailor ad-hoc policies aimed at disadvantaged sub-populations.
Squalene production under oxygen limitation by Schizochytrium sp. S31 in different cultivation systems
Authors: Schütte Lina , Hanisch Patrick G. , Scheler Nina , Haböck Katharina C. , Huber Robert , Ersoy Franziska , Berger Ralf G. 
Published: February 2024

Abstract
The triterpene squalene is widely used in the food, cosmetics and pharmaceutical industries due to its antioxidant, antistatic and anti-carcinogenic properties. It is usually obtained from the liver of deep sea sharks, which are facing extinction. Alternative production organisms are marine protists from the family Thraustochytriaceae, which produce and store large quantities of various lipids. Squalene accumulation in thraustochytrids is complex, as it is an intermediate in sterol biosynthesis. Its conversion to squalene 2,3-epoxide is the first step in sterol synthesis and is heavily oxygen dependent. Hence, the oxygen supply during cultivation was investigated in our study. In shake flask cultivations, a reduced oxygen supply led to increased squalene and decreased sterol contents and yields. Oxygen-limited conditions were applied to bioreactor scale, where squalene accumulation and growth of Schizochytrium sp. S31 was determined in batch, fed-batch and continuous cultivation. The highest dry matter (32.03 g/L) was obtained during fed-batch cultivation, whereas batch cultivation yielded the highest biomass productivity (0.2 g/L*h−1). Squalene accumulation benefited from keeping the microorganisms in the growth phase. Therefore, the highest squalene content of 39.67 ± 1.34 mg/g was achieved by continuous cultivation (D = 0.025 h−1) and the highest squalene yield of 1131 mg/L during fed-batch cultivation. Volumetric and specific squalene productivity both reached maxima in the continuous cultivation at D = 0.025 h−1 (6.94 ± 0.27 mg/L*h−1 and 1.00 ± 0.03 mg/g*h−1, respectively). Thus, the choice of a suitable cultivation method under oxygen-limiting conditions depends heavily on the process requirements.

Key points
• Measurements of respiratory activity and backscatter light of thraustochytrids
• Oxygen limitation increased squalene accumulation in Schizochytrium sp. S31
• Comparison of different cultivation methods under oxygen-limiting conditions
Minimal impact of beam projection angle deviations in skyline (Laurin) view and the efficacy of the anterior border of proximal tibia as a guiding landmark
Authors: Kim Sung Eun , Hwang Sunghyun , Lee Ji Han , Gimm Geunwu , Han Hyuk-Soo , Choi Byung Sun , Ro Du Hyun 
Published: February 2024

Abstract
Objective
Obtaining an optimal knee skyline view is challenging due to inaccuracies in beam projection angles (BPAs) and soft tissue obscuring bony landmarks. This study aimed to assess the impact of BPA deviations on patellofemoral index measurements and assessed the anterior border of the proximal tibia as an anatomic landmark for guiding BPAs.

Materials and methods
This retrospective study consisted of three parts. The first was a simulation study using 52 CT scans of knees with a 20° flexion contracture to replicate the skyline (Laurin) view. Digitally reconstructed radiographs simulated neutral, 5° downward, and 5° upward tilt BPAs. Five patellofemoral indices (sulcus angle, congruence angle, patellar tilt angle, lateral facet angle, and bisect ratio) were measured and compared. The second part was a proof of concept study on 162 knees to examine patellar indices differences across these BPAs. Lastly, the alignment of the anterior border of the proximal tibia with the BPA tangential to the patellar articular surface was tested from the CT scans.

Results
No significant differences in patellofemoral indices were found across various BPAs in both the simulation and proof of concept studies (all p > 0.05). The angle between the anterior border of the proximal tibia and the patellar articular surface was 1.5 ± 5.3°, a statistically significant (p = 0.037) yet clinically acceptable deviation.

Conclusion
Patellofemoral indices in skyline view remained consistent regardless of BPA deviations. The anterior border of the proximal tibia proved to be an effective landmark for accurate beam projection.
90Y post-radioembolization clinical assessment with whole-body Biograph Vision Quadra PET/CT: image quality, tumor, liver and lung dosimetry
Authors: Zeimpekis Konstantinos G. , Mercolli Lorenzo , Conti Maurizio , Sari Hasan , Rominger Axel , Rathke Hendrik 
Published: February 2024

Abstract
Purpose
Evaluation of 90Y liver radioembolization post-treatment clinical data using a whole-body Biograph Vision Quadra PET/CT to investigate the potential of protocol optimization in terms of scan time and dosimetry.

Methods
17 patients with hepatocellular carcinoma with median (IQR) injected activity 2393 (1348–3298) MBq were included. Pre-treatment dosimetry plan was based on 99mTc-MAA SPECT/CT with Simplicit90Y™ and post-treatment validation with Quadra using Simplicit90Y™ and HERMIA independently. Regarding the image analysis, mean and peak SNR, the coefficient of variation (COV) and lesion-to-background ratio (LBR) were evaluated. For the post-treatment dosimetry validation, the mean tumor, whole liver and lung absorbed dose evaluation was performed using Simplicit90Y and HERMES. Images were reconstructed with 20-, 15-, 10-, 5- and 1- min sinograms with 2, 4, 6 and 8 iterations. Wilcoxon signed rank test was used to show statistical significance (p < 0.05).

Results
There was no difference of statistical significance between 20- and 5- min reconstructed times for the peak SNR, COV and LBR. In addition, there was no difference of statistical significance between 20- and 1- min reconstructed times for all dosimetry metrics. Lung dosimetry showed consistently lower values than the expected. Tumor absorbed dose based on Simplicit90Y™ was similar to the expected while HERMES consistently underestimated significantly the measured tumor absorbed dose. Finally, there was no difference of statistical significance between expected and measured tumor, whole liver and lung dose for all reconstruction times.

Conclusion
In this study we evaluated, in terms of image quality and dosimetry, whole-body PET clinical images of patients after having been treated with 90Y microspheres radioembolization for liver cancer. Compared to the 20-min standard scan, the simulated 5-min reconstructed images provided equal image peak SNR and noise behavior, while performing also similarly for post-treatment dosimetry of tumor, whole liver and lung absorbed doses.
Treatment of secondary CNS lymphoma using CD19-targeted chimeric antigen receptor (CAR) T cells
Authors: Kline Kathryn , Luetkens Tim , Koka Rima , Kallen Michael E. , Chen Wengen , Ahmad Haroon , Omili Destiny , Iraguha Thierry , Gebru Etse , Fan Xiaoxuan , Miller Alexis , Dishanthan Nishanthini , Baker Jillian M. , Dietze Kenneth A. , Hankey Kim G. , Yared Jean A. , Hardy Nancy M. , Rapoport Aaron P. , Dahiya Saurabh , Atanackovic Djordje 
Published: February 2024

Abstract
Background
Aggressive B cell lymphoma with secondary central nervous system (CNS) involvement (SCNSL) carries a dismal prognosis. Chimeric antigen receptor (CAR) T cells (CAR-T) targeting CD19 have revolutionized the treatment for B cell lymphomas; however, only single cases with CNS manifestations successfully treated with CD19 CAR-T have been reported.

Methods
We prospectively enrolled 4 patients with SCNSL into our study to assess clinical responses and monitor T cell immunity.

Results
Two of four SNCSL patients responded to the CD19-targeted CAR-T. Only one patient showed a substantial expansion of peripheral (PB) CAR-T cells with an almost 100-fold increase within the first week after CAR-T. The same patient also showed marked neurotoxicity and progression of the SNCSL despite continuous surface expression of CD19 on the lymphoma cells and an accumulation of CD4+ central memory-type CAR-T cells in the CNS. Our studies indicate that the local production of chemokine IP-10, possibly through its receptor CXCR3 expressed on our patient’s CAR-T, could potentially have mediated the local accumulation of functionally suboptimal anti-tumor T cells.

Conclusions
Our results demonstrate expansion and homing of CAR-T cells into the CNS in SNCSL patients. Local production of chemokines such as IP-10 may support CNS infiltration by CAR-T cells but also carry the potential of amplifying local toxicity. Future studies investigating numbers, phenotype, and function of CAR-T in the different body compartments of SNSCL patients receiving CAR-T will help to improve local delivery of “fit” and highly tumor-reactive CAR-T with low off-target reactivity into the CNS.
INDUCE-2: A Phase I/II, open-label, two-part study of feladilimab in combination with tremelimumab in patients with advanced solid tumors
Authors: Hilton John F. , Ott Patrick A. , Hansen Aaron R. , Li Zujun , Mathew Matthen , Messina Cristina H. , Dave Vimal , Ji Xiao , Karpinich Natalie O. , Hirschfeld Steven , Ballas Marc , Zandberg Dan P. 
Published: February 2024

AbstractCombining immunotherapies with distinct mechanisms of action has the potential to overcome treatment resistance and improve outcomes. The inducible T-cell co-stimulator (ICOS) agonist feladilimab is directed at enhancing T-cell activation and function, thereby promoting an antitumor response. INDUCE-2 (NCT03693612) was a Phase I/II, open-label, two-part study evaluating the anti-ICOS agonist feladilimab in combination with the anti-CTLA-4 antibody tremelimumab in patients with select advanced solid tumors. Objectives of Part 1 were to determine the safety, tolerability, and recommended phase 2 dose (RP2D) of feladilimab in combination with tremelimumab. In Part 2, the antitumor activity of the combination (administered at the RP2D determined in Part 1) was to be assessed in patients with relapsed/refractory head and neck squamous cell carcinoma. Primary endpoints included the rates of dose-limiting toxicities (DLTs), adverse events (AEs), AEs of special interest, and serious AEs. Secondary endpoints included overall response rate, while biomarker assessment was exploratory. A total of 26 patients were enrolled, 18 (69%) of whom had completed the study at end date. One patient, in the highest dose group (24/225 mg feladilimab/tremelimumab), experienced a DLT 18 days after the first dose of study treatment. All patients experienced at least one AE; AEs led to treatment discontinuation in four (15%) patients. Partial response was observed in one patient. Feladilimab in combination with tremelimumab was well-tolerated but showed limited efficacy. Based on the totality of data from Part 1, it was decided not to continue with Part 2.
Iterative assessment of a sports rehydration beverage containing a novel amino acid formula on water uptake kinetics
Authors: Funnell Mark P. , Juett Loris A. , Reynolds Kirsty M. , Johnson Drusus A. , James Ruth M. , Mears Stephen A. , Cheuvront Samuel N. , Kenefick Robert W. , James Lewis J. 
Published: February 2024

Abstract
Purpose
Rapid gastric emptying and intestinal absorption of beverages is essential for rapid rehydration, and certain amino acids (AA) may augment fluid delivery. Three sugar-free beverages, containing differing AA concentrations (AA + PZ), were assessed for fluid absorption kinetics against commercial sugar-free (PZ, GZ) and carbohydrate-containing (GTQ) beverages.

Methods
Healthy individuals (n = 15–17 per study) completed three randomised trials. Three beverages (550–600 mL) were ingested in each study (Study 1: AA + PZ [17.51 g/L AA], PZ, GZ; Study 2: AA + PZ [6.96 g/L AA], PZ, GZ; Study 3: AA + PZ [3.48 g/L AA], PZ, GTQ), containing 3.000 g deuterium oxide (D2O). Blood samples were collected pre-, 2-min, 5-min, and every 5-min until 60-min post-ingestion to quantify maximal D2O enrichment (Cmax), time Cmax occurred (Tmax) and area under the curve (AUC).

Results
Study 1: AUC (AA + PZ: 15,184 ± 3532 δ‰ vs. VSMOW; PZ: 17,328 ± 3153 δ‰ vs. VSMOW; GZ: 17,749 ± 4204 δ‰ vs. VSMOW; P ≤ 0.006) and Tmax (P ≤ 0.005) were lower for AA + PZ vs. PZ/GZ. Study 2: D2O enrichment characteristics were not different amongst beverages (P ≥ 0.338). Study 3: Cmax (AA + PZ: 440 ± 94 δ‰ vs. VSMOW; PZ: 429 ± 83 δ‰ vs. VSMOW; GTQ: 398 ± 81 δ‰ vs. VSMOW) was greater (P = 0.046) for AA + PZ than GTQ, with no other differences (P ≥ 0.106).

Conclusion
The addition of small amounts of AA (3.48 g/L) to a sugar-free beverage increased fluid delivery to the circulation compared to a carbohydrate-based beverage, but greater amounts (17.51 g/L) delayed delivery.
“I never wanted to burn any bridges”: discerning between pushing too hard and not enough in trainees’ acts of professional resistance
Authors: Wyatt Tasha R. , Jain Vinayak , Ma TingLan 
Published: February 2024

AbstractAs trainees resist social harm and injustice in medicine, they must navigate the tension between pushing too hard and risking their reputation, or not enough and risking no change at all. We explore the discernment process by examining what trainees attend to moments before and while they are resisting to understand how they manage this tension. We interviewed 18 medical trainees who shared stories of resisting social harm and injustice in their training environments. Interviews were analyzed using open and focused coding using Vinthagen and Johansson’s work, which conceptualizes resistance as a dynamic process that includes an individual’s subjectivity within a larger system, the context in which they find themselves, and the interactions they have with others. We framed these acts as an individuals’ attempt to undermine power, while also being entangled with that power and needing it for their efforts. When deciding on how and whether to resist, trainees underwent a cost-benefit analysis weighing the potential risk against their chances at change. They considered how their acts may influence their relationship with others, whether resisting would damage personal and programmatic reputations, and the embodied and social cues of other stakeholders involved. Trainees undergo a dynamic assessment process in which they analyze large amounts of information to keep themselves safe from potential retaliation. It is by attending to these various factors in their environment that trainees are able to keep their acts professional, and continue to do this challenging work in medical education.
Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review
Authors: Samal Priyadarsini , Hashmi Mohammad Farukh 
Published: February 2024

AbstractEmotion is a subjective psychophysiological reaction coming from external stimuli which impacts every aspect of our daily lives. Due to the continuing development of non-invasive and portable sensor technologies, such as brain-computer interfaces (BCI), intellectuals from several fields have been interested in emotion recognition techniques. Human emotions can be recognised using a variety of behavioural cues, including gestures and body language, voice, and physiological markers. The first three, however, might be ineffective because people sometimes conceal their genuine emotions either intentionally or unknowingly. More precise and objective emotion recognition can be accomplished using physiological signals. Among other physiological signals, Electroencephalogram (EEG) is more responsive and sensitive to variation in affective states. Various EEG-based emotion recognition methods have recently been introduced. This study reviews EEG-based BCIs for emotion identification and gives an outline of the progress made in this field. A summary of the datasets and techniques utilised to evoke human emotions and various emotion models is also given. We discuss several EEG feature extractions, feature selection/reduction, machine learning, and deep learning algorithms in accordance with standard emotional identification process. We provide an overview of the human brain's EEG rhythms, which are closely related to emotional states. We also go over a number of EEG-based emotion identification research and compare numerous machine learning and deep learning techniques. In conclusion, this study highlights the applications, challenges and potential areas for future research in identification and classification of human emotional states.
Research on the impact of green mergers and acquisitions of heavily polluting enterprises on the quality of environmental information disclosure: empirical evidence from listed companies in China
Authors: He Suchao , Wei Yating , Li Wenping 
Published: February 2024

AbstractGreen mergers and acquisitions are an important means for heavily polluting enterprises to achieve green transformation. Previous studies have yielded inconsistent conclusions regarding the relationship between green mergers and acquisitions and the level of corporate environmental management, possibly due to the omission of considering the quality of corporate environmental information disclosure. Therefore, based on a sample of 908 observations of heavily polluting listed companies on the A-share market of Shanghai and Shenzhen from 2010 to 2019, Utilizing a fixed-effects model, this study empirically examines the relationship between green mergers and acquisitions and the quality of environmental information disclosure and further explores the boundary effects of government environmental regulation and property rights on this relationship. The results show that green mergers and acquisitions of heavily polluting enterprises have a significantly positive impact on the environmental information disclosure quality of acquiring firms, and government environmental regulation positively moderates the relationship between green mergers and acquisitions and environmental information disclosure quality. Through subgroup analysis based on different property rights, it is found that compared to non-state-owned enterprises, state-owned enterprises exhibit a stronger positive relationship between green mergers and acquisitions and the quality of environmental information disclosure. This study has further enriched the relevant literature on green M&A and environmental information disclosure, provided new ideas for heavy polluting enterprises to achieve green transformation, and provided a reference for the government and enterprises to take countermeasures and suggestions.
Sparse Embedded Convolution Based Dual Feature Aggregation 3D Object Detection Network
Authors: Li Hai-Sheng , Lu Yan-Ling 
Published: February 2024

AbstractThe algorithm design of compatible detection speed and accuracy based on LiDAR point clouds is a challenging issue in various practical applications of 3D object detection, including the field of autonomous driving. This paper designs a single-stage object detection algorithm that is lightweight and compatible with detection speed and accuracy for the above issue. To achieve these objectives, we propose a framework for a 3D object detection algorithm using a single-stage detection network as the backbone network. Firstly, we design a dual feature extraction module to reduce the occurrence of vehicle miss and error detection problems. Then, we use a multi-scale feature fusion scheme to fuse feature information with different scales. Furthermore, we design a data enhancement scheme suitable for this network architecture. Experimental results in the KITTI dataset show that the proposed method achieves improvement ratios of 38.5% for the detection speed and 2.88% $$\sim $$
∼
13.65% in terms of the average precision of vehicle detection compared to the existing algorithm based on single-stage object detection (SECOND).
Quantitative Pupillometry for Intracranial Pressure (ICP) Monitoring in Traumatic Brain Injury: A Scoping Review
Authors: Martínez-Palacios Karol , Vásquez-García Sebastián , Fariyike Olubunmi A. , Robba Chiara , Rubiano Andrés M. ,   on behalf of the noninvasive intracranial pressure monitoring international consensus group
Published: February 2024

AbstractThe neurological examination has remained key for the detection of worsening in neurocritical care patients, particularly after traumatic brain injury (TBI). New-onset, unreactive anisocoria frequently occurs in such situations, triggering aggressive diagnostic and therapeutic measures to address life-threatening elevations in intracranial pressure (ICP). As such, the field needs objective, unbiased, portable, and reliable methods for quickly assessing such pupillary changes. In this area, quantitative pupillometry (QP) proves promising, leveraging the analysis of different pupillary variables to indirectly estimate ICP. Thus, this scoping review seeks to describe the existing evidence for the use of QP in estimating ICP in adult patients with TBI as compared with invasive methods, which are considered the standard practice. This review was conducted in accordance with the Joanna Briggs Institute methodology for scoping reviews, with a main search of PubMed and EMBASE. The search was limited to studies of adult patients with TBI published in any language between 2012 and 2022. Eight studies were included for analysis, with the vast majority being prospective studies conducted in high-income countries. Among QP variables, serial rather than isolated measurements of neurologic pupillary index, constriction velocity, and maximal constriction velocity demonstrated the best correlation with invasive ICP measurement values, particularly in predicting refractory intracranial hypertension. Neurologic pupillary index and ICP also showed an inverse relationship when trends were simultaneously compared. As such, QP, when used repetitively, seems to be a promising tool for noninvasive ICP monitoring in patients with TBI, especially when used in conjunction with other clinical and neuromonitoring data.