bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simplifying minimally invasive right hepatectomy
Authors: Nevermann Nora , Feldbrügge Linda , Knitter Sebastian , Krenzien Felix , Raschzok Nathanael , Lurje Georg , Schöning Wenzel , Pratschke Johann , Schmelzle Moritz 
Published: April 2023

Abstract
Background
Extrahepatic transection of the right hepatic artery and right portal vein before parenchymal dissection is a widely used standard for minimal invasive right hepatectomy. Hereby, hilar dissection represents a technical difficulty. We report our results of a simplified approach in which the hilar dissection is omitted and the line of dissection is defined with ultrasound.

Methods
Patients undergoing minimally invasive right hepatectomy were included. Ultrasound-guided hepatectomy (UGH) was defined by the following main steps: (1) ultrasound-guided definition of the transection line, (2) dissection of the liver parenchyma according to the caudal approach, (3) intraparenchymal transection of the right pedicle and (4) of the right liver vein, respectively. Intra- and postoperative outcomes of UGH were compared to the standard technique. Propensity score matching was performed to adjust for parameters of perioperative risk.

Results
Median operative time was 310 min in the UGH group compared to 338 min in the control group (p = 0.013). No differences were observed for Pringle maneuver duration (35 min vs. 25 min; p = ns) nor postoperative transaminases levels (p = ns). There was a trend toward a lower major complication rate in the UGH group (13 vs. 25%) and a shorter median hospital stay (8 days vs. 10 days); however, both being short of statistical significance (p = ns). Bile leak was observed in zero cases of UGH compared to 9 out of 32 cases (28%) for the control group (p = 0.020).

Conclusions
UGH appears to be at least comparable to the standard technique in terms of intraoperative and postoperative outcomes. Accordingly, transection of the right hepatic artery and right portal vein prior to the transection phase can be omitted, at least in selected cases. These results need to be confirmed in a prospective and randomized trial.

Graphical Abstract
Scarce data driven deep learning of drones via generalized data distribution space
Authors: Li Chen , Sun Schyler C. , Wei Zhuangkun , Tsourdos Antonios , Guo Weisi 
Published: April 2023

AbstractIncreased drone proliferation in civilian and professional settings has created new threat vectors for airports and national infrastructures. The economic damage for a single major airport from drone incursions is estimated to be millions per day. Due to the lack of balanced representation in drone data, training accurate deep learning drone detection algorithms under scarce data is an open challenge. Existing methods largely rely on collecting diverse and comprehensive experimental drone footage data, artificially induced data augmentation, transfer and meta-learning, as well as physics-informed learning. However, these methods cannot guarantee capturing diverse drone designs and fully understanding the deep feature space of drones. Here, we show how understanding the general distribution of the drone data via a generative adversarial network (GAN), and explaining the under-learned data features using topological data analysis (TDA) can allow us to acquire under-represented data to achieve rapid and more accurate learning. We demonstrate our results on a drone image dataset, which contains both real drone images as well as simulated images from computer-aided design. When compared to random, tag-informed and expert-informed data collections (discriminator accuracy of 94.67%, 94.53% and 91.07%, respectively, after 200 epochs), our proposed GAN-TDA-informed data collection method offers a significant 4% improvement (99.42% after 200 epochs). We believe that this approach of exploiting general data distribution knowledge from neural networks can be applied to a wide range of scarce data open challenges.
Use of polypyrrole ferrite microparticles and liquid chromatography-mass spectrometry for testing natural grass contamination by multiclass mycotoxins
Authors: García-Nicolás María , Arroyo-Manzanares Natalia , Campillo Natalia , Reyes-Palomo Carolina , Sanz-Fernández Santos , Fenoll José , Rodríguez-Estévez Vicente , Viñas Pilar 
Published: April 2023

AbstractAn analytical methodology based on the combination of dispersive magnetic solid-phase extraction (DMSPE) and liquid chromatography-mass spectrometry (LC-MS) is proposed to explore the occurrence of 13 mycotoxins (aflatoxins B1, G1, B2, and G2; deoxynivalenol; T-2 toxin; ochratoxin A; HT-2 toxin; enniatins A, A1, B, and B2; and beauvericin) and their derivatives in natural grass samples. Magnetic microparticles (Fe3O4) coated with polypyrrole (PPy) polymer were used in DMSPE sample treatment as adsorbent phase, and Fourier-transform infrared spectroscopy, field emission scanning electron microscopy, and energy dispersive X-ray spectroscopy have been used for its characterization. The experimental parameters influencing the adsorption and desorption steps of DMSPE have been optimized. Method validation has been carried out obtaining limits of quantification between 0.07 and 92 μg kg−1 corresponding to enniatin B or A1 and DON, respectively. A total of 83 natural grass samples from 8 dehesa farms were analysed. Enniatin B was found in all the samples (0.29 to 488 μg kg−1 concentration range) followed by enniatin B1 (92.8% of the samples) with a 0.12–137 μg kg−1 concentration range. Moreover, co-occurrence of mycotoxins was studied and between 2 and 5 mycotoxins appeared simultaneously in 97.6% of the samples. Distribution of the contamination according to natural grass location was also investigated.
Graphical abstract
Types of Inheritance and Genes Associated with Familial Meniere Disease
Authors: Parra-Perez Alberto M. , Lopez-Escamez Jose A. 
Published: April 2023

AbstractMeniere disease (MD) is a rare disorder of the inner ear defined by sensorineural hearing loss (SNHL) associated with episodes of vertigo and tinnitus. The phenotype is variable, and it may be associated with other comorbidities such as migraine, respiratory allergies, and several autoimmune disorders. The condition has a significant heritability according to epidemiological and familial segregation studies. Familial MD is found in 10% of cases, the most frequently found genes being OTOG, MYO7A, and TECTA, previously associated with autosomal dominant and recessive non-syndromic SNHL. These findings suggest a new hypothesis where proteins involved in the extracellular structures in the apical surface of sensory epithelia (otolithic and tectorial membranes) and proteins in the stereocilia links would be key elements in the pathophysiology of MD. The ionic homeostasis of the otolithic and tectorial membranes could be critical to suppress the innate motility of individual hair cell bundles. Initially, focal detachment of these extracellular membranes may cause random depolarization of hair cells and will explain changes in tinnitus loudness or trigger vertigo attacks in early stages of MD. With the progression of the disease, a larger detachment will lead to an otolithic membrane herniation into the horizontal semicircular canal with dissociation in caloric and head impulse responses. Familial MD shows different types of inheritance, including autosomal dominant and compound recessive patterns and implementation of genetic testing will improve our understanding of the genetic structure of MD.
Non-solvable groups whose character degree graph has a cut-vertex. III
Authors: Dolfi Silvio , Pacifici Emanuele , Sanus Lucia 
Published: April 2023

AbstractLet G be a finite group. Denoting by $$\textrm{cd}(G)$$

cd
(
G
)

the set of the degrees of the irreducible complex characters of G, we consider the character degree graph of G: this, is the (simple, undirected) graph whose vertices are the prime divisors of the numbers in $$\textrm{cd}(G)$$

cd
(
G
)

, and two distinct vertices p, q are adjacent if and only if pq divides some number in $$\textrm{cd}(G)$$

cd
(
G
)

. This paper completes the classification, started in Dolfi et al. (Non-solvable groups whose character degree graph has a cut-vertex. II, 2022. https://doi.org/10.1007/s10231-022-01299-3) and Dolfi et al. (Non-solvable groups whose character degree graph has a cut-vertex. I, 2022. https://doi.org/10.48550/arXiv.2207.10119), of the finite non-solvable groups whose character degree graph has a cut-vertex, i.e., a vertex whose removal increases the number of connected components of the graph. More specifically, it was proved in Dolfi et al. (Non-solvable groups whose character degree graph has a cut-vertex. I, 2022. https://doi.org/10.48550/arXiv.2207.10119 that these groups have a unique non-solvable composition factor S, and that S is isomorphic to a group belonging to a restricted list of non-abelian simple groups. In Dolfi et al. (Non-solvable groups whose character degree graph has a cut-vertex. II, 2022. https://doi.org/10.1007/s10231-022-01299-3) and Dolfi et al. (Non-solvable groups whose character degree graph has a cut-vertex. I, 2022. https://doi.org/10.48550/arXiv.2207.10119) all isomorphism types for S were treated, except the case $$S\cong \textrm{PSL}_{2}(2^a)$$

S
≅

PSL
2

(

2
a

)

for some integer $$a\ge 2$$

a
≥
2

; the remaining case is addressed in the present paper.
A Structure-Aware Convolutional Neural Network for Automatic Diagnosis of Fungal Keratitis with In Vivo Confocal Microscopy Images
Authors: Liang Shanshan , Zhong Jing , Zeng Hongwei , Zhong Peixun , Li Saiqun , Liu Huijun , Yuan Jin 
Published: April 2023

AbstractFungal keratitis (FK) is a common and severe corneal disease, which is widely spread in tropical and subtropical areas. Early diagnosis and treatment are vital for patients, with confocal microscopy cornea imaging being one of the most effective methods for the diagnosis of FK. However, most cases are currently diagnosed by the subjective judgment of ophthalmologists, which is time-consuming and heavily depends on the experience of the ophthalmologists. In this paper, we introduce a novel structure-aware automatic diagnosis algorithm based on deep convolutional neural networks for the accurate diagnosis of FK. Specifically, a two-stream convolutional network is deployed, combining GoogLeNet and VGGNet, which are two commonly used networks in computer vision architectures. The main stream is used for feature extraction of the input image, while the auxiliary stream is used for feature discrimination and enhancement of the hyphae structure. Then, the features are combined by concatenating the channel dimension to obtain the final output, i.e., normal or abnormal. The results showed that the proposed method achieved accuracy, sensitivity, and specificity of 97.73%, 97.02%, and 98.54%, respectively. These results suggest that the proposed neural network could be a promising computer-aided FK diagnosis solution.
High-resolution imaging of the excised porcine heart at a whole-body 7 T MRI system using an 8Tx/16Rx pTx coil
Authors: Terekhov Maxim , Elabyad Ibrahim A. , Lohr David , Hofmann Ulrich , Schreiber Laura M. 
Published: April 2023

Abstract
Introduction
MRI of excised hearts at ultra-high field strengths ($${\mathrm{B}}_{0}$$

B
0

≥7 T) can provide high-resolution, high-fidelity ground truth data for biomedical studies, imaging science, and artificial intelligence. In this study, we demonstrate the capabilities of a custom-built, multiple-element transceiver array customized for high-resolution imaging of excised hearts.

Method
A dedicated 16-element transceiver loop array was implemented for operation in parallel transmit (pTx) mode (8Tx/16Rx) of a clinical whole-body 7 T MRI system. The initial adjustment of the array was performed using full-wave 3D-electromagnetic simulation with subsequent final fine-tuning on the bench.

Results
We report the results of testing the implemented array in tissue-mimicking liquid phantoms and excised porcine hearts. The array demonstrated high efficiency of parallel transmits characteristics enabling efficient pTX-based B1+-shimming.

Conclusion
The receive sensitivity and parallel imaging capability of the dedicated coil were superior to that of a commercial 1Tx/32Rx head coil in both SNR and T2*-mapping. The array was successfully tested to acquire ultra-high-resolution (0.1 × 0.1 × 0.8 mm voxel) images of post-infarction scar tissue. High-resolution (isotropic 1.6 mm3 voxel) diffusion tensor imaging-based tractography provided high-resolution information about normal myocardial fiber orientation.
Assessing Classification Reliability of Conditionals in Discourse
Authors: Reuneker Alex 
Published: April 2023

AbstractConditional constructions (if–then) enable us to express our thoughts about possible states of the world, and they form an important ingredient for our reasoning and argumentative capabilities. Different types and argumentative uses have been distinguished in the literature, but their applicability to actual language use is rarely evaluated. This paper focuses on the reliability of applying classifications of connections between antecedents and consequents of conditionals to discourse, and three issues are identified. First, different accounts produce incompatible results when applied to language data. Second, a discrepancy between theory and data was observed in previous studies, which sometimes discard existing classifications for being detached from actual language use. Finally, language users construct various cognitive relations between clauses of conditionals without being able to rely on overt linguistic features, which poses problems for the annotation of conditionals in argumentation and discourse. This paper addresses these issues by means of comparing theoretical types and actual uses of conditionals, by inspecting the dispersion of types in natural-language corpora, and by conducting an experiment in which the inter-rater reliability of classifications was assessed. The results show that the reliability of classifications of conditionals when applied to language data is low. With respect to the aforementioned issues, different classifications produced incompatible results, a discrepancy between theory and data was indeed observed, and low reliability scores indicated a largely interpretative nature of types of conditionals. Given these results, suggestions for the enhancement of reliability in corpus studies of conditionals and beyond are provided to enhance future classification design.
Non-causal Explanations in the Humanities: Some Examples
Authors: den Boef Roland , van Woudenberg René 
Published: April 2023

Abstract The humanistic disciplines aim to offer explanations of a wide variety of phenomena. Philosophical theories of explanation have focused mostly on explanations in the natural sciences; a much discussed theory of explanation is the causal theory of explanation. Recently it has come to be recognized that the sciences sometimes offer respectable explanations that are non-causal. This paper broadens the discussion by discussing explanations that are offered in the fields of history, linguistics, literary theory, and archaeology that do not seem to fit the causal theory of explanation. We conducted an exploratory survey in acclaimed humanities textbooks to find explicitly so-called explanations and analyze their nature. The survey suggests that non-causal explanations are an integral part of the humanities and that they are of distinct kinds. This paper describes three kinds that are suggested by our survey: teleological, formal, and normative explanations. We suggest that such humanistic explanations strengthen the case for explanatory pluralism.
Potential effects of carbon monoxide donor and its nanoparticles on experimentally induced gastric ulcer in rats
Authors: Elsisi Alaa E. , Mekky Esraa F. , Abu-Risha Sally E. 
Published: April 2023

AbstractThe prevalence of gastric ulcers is increasing worldwide, especially those brought on by non-steroidal anti-inflammatory drugs (NSAIDS), so prevention is extremely crucial. The protective potential of carbon monoxide (CO) in several inflammatory disorders has been clarified. The goal of the current study was to investigate the gastroprotective effect of CO produced by its pharmacological donor (CORM2) and its nanoparticles (NPs) against indomethacin (INDO)-induced ulcers. Investigations on CORM2's dose-dependent effects were also conducted. For induction of gastric ulcer, 100 mg kg−1 of INDO was given orally. Before ulcer induction, CORM2 (5, 10, and 15 mg kg−1), CORM2 nanoparticles (5 mg kg−1), or ranitidine (30 mg kg−1) were given intraperitoneally for 7 days. Ulcer score, gastric acidity, gastric contents of malondialdehyde (MDA), nitric oxide (NO), heme oxygenase-1 (HO-1), and carboxyhemoglobin (COHb) blood content were estimated. Additionally, gene expression of nuclear factor erythroid 2-related factor 2 (NRF2) and immunohistochemical staining of cyclooxygenase-1 (COX-1) as well as cyclooxygenase-2 (COX-2) were analyzed. Results demonstrated a substantial dose-dependent decrease in ulcer score, pro-inflammatory indicators, and oxidative stress markers with CORM2 and its NPs. Furthermore, CORM2 and its NPs markedly increased NRF2, COX-1, and HO-1, but CORM2 NPs outperformed CORM2 in this regard. In conclusion, the CO released by CORM2 can protect against INDO-induced gastric ulcers dose dependently, and the highest used dose had no effect on COHb concentration.
Organizational transformation for greater sustainability impact: recent changes in a scientific research infrastructure in Europe
Authors: Holzer Jennifer M. , Orenstein Daniel E. 
Published: April 2023

Abstract
Context
Scholars across holistic, transdisciplinary, place-based fields of research, such as landscape ecology and social ecology, have increasingly called for an ‘all-hands-on-deck’ approach for transformations toward greater sustainability of social-ecological systems. This Perspective showcases organizational transformation toward sustainability in the context of a research network dedicated to place-based, social-ecological research in Europe.

Objectives
Using the European LTER research infrastructure (eLTER RI) as a case, we analyze recent organizational-level shifts motivated by desires to increase sustainability impact. These shifts include knowledge integration between the natural and social sciences, stakeholder engagement, and a reformulation of administrative guidelines and practices.

Methods
Following a program evaluation, new conversations led to new initiatives in the eLTER RI. As researchers who were involved in the program evaluation and the development of new initiatives, we rely on our professional experience and participant observation to provide insights about this process and its developments.

Results
Recommendations from a recent assessment that critiqued and provided recommendations for the research infrastructure have recently been implemented in the eLTER RI. eLTER has leveraged a unique and timely opportunity—formal recognition and project funding by the EU—to upscale and standardize its infrastructure by creating novel protocols and enacting steps towards implementation.

Conclusions
This Perspective demonstrates how eLTER’s research agenda and related protocols have evolved to better integrate multiple knowledge types, promote stakeholder integration into research, and foster greater equity and reflexivity in doing science, all of which are considered necessary to increase sustainability impact. We conclude by considering current and potential future challenges.
A tale of two interfaces: vitrivr at the lifelog search challenge
Authors: Heller Silvan , Spiess Florian , Schuldt Heiko 
Published: April 2023

AbstractThe past decades have seen an exponential growth in the amount of data which is produced by individuals. Smartphones which capture images, videos and sensor data have become commonplace, and wearables for fitness and health are growing in popularity. Lifelog retrieval systems aim to aid users in finding and exploring their personal history. We present two systems for lifelog retrieval: vitrivr and vitrivr-VR, which share a common retrieval model and backend for multi-modal multimedia retrieval. They differ in the user interface component, where vitrivr relies on a traditional desktop-based user interface and vitrivr-VR has a Virtual Reality user interface. Their effectiveness is evaluated at the Lifelog Search Challenge 2021, which offers an opportunity for interactive retrieval systems to compete with a focus on textual descriptions of past events. Our results show that the conventional user interface outperformed the VR user interface. However, the format of the evaluation campaign does not provide enough data for a thorough assessment and thus to make robust statements about the difference between the systems. Thus, we conclude by making suggestions for future interactive evaluation campaigns which would enable further insights.
Trends in Light and Temperature Sensitivity Recommendations among Licensed Biotechnology Drug Products
Authors: Kim Jennifer J. , Pritts Jordan D. , Ngo Mai , Estoll Corey R. , Rao V. Ashutosh 
Published: April 2023

Abstract
Purpose
Inherent structural and functional properties of biotechnology-derived therapeutic biologics make them susceptible to light- and temperature-induced degradation and consequently can influence their quality. Photosensitivity of therapeutic proteins continues to be examined, but the commonalities and trends of storage conditions and information about light and temperature sensitivity among currently licensed therapeutic proteins has not been previously surveyed.

Methods
Using a comprehensive and relational database approach, we conducted a scientific survey of all licensed biotechnology-derived drug products with the goal of providing evidence-based information about recommended storage conditions of formulations sorted by light- and temperature-related attributes as described for each product at licensure.

Results
We report the prevalence of indications for light and temperature sensitivity in formulations categorized by their presentation type, number of doses, container type, dosage form and active molecule type. We also report the storage temperature range across formulations and diluents for reconstitution and dilution. Formulations with excipients that potentially facilitate light-induced and thermal degradation were also noted.

Conclusions
The result of our analysis indicates that light and temperature sensitivity are prevalent across therapeutic protein formulations. However, when a formulation is reconstituted or diluted, both light and temperature sensitivity are less clear. In addition, light and temperature sensitivity are more well defined in liquid formulations than lyophilized powder formulations, and more well defined in products manufactured in autoinjectors, prefilled-syringes, and pens than products in vials. Overall, our report provides a data-driven summary of storage conditions among therapeutic protein formulations to support the development of future biologic drug products.
On k-regularity of sequences of valuations and last non-zero digits
Authors: Sobolewski Bartosz 
Published: April 2023

AbstractLet$$b \ge 2$$b≥2be an integer base with prime factors$$p_1, \ldots , p_s$$p1,…,ps. In this paper we study sequences of “b-adic valuations” and last nonzero digits inb-adic expansions of the values$$f(n) = (f_1(n), \ldots , f_s(n))$$f(n)=(f1(n),…,fs(n)), where each$$f_i$$fiis a$$p_i$$pi-adic analytic function. We give a complete classification concerningk-regularity of these sequences, which generalizes a result obtained forbprime by Shu and Yao. As an application, we strengthen a theorem by Murru and Sanna onb-adic valuations of Lucas sequences of the first kind. Moreover, we derive a method to determine precisely which terms of these sequences can be represented as a sum of three squares.