bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Deformation on the Magnetic Properties of C + N Austenitic Steel
Authors: Torres-Mejía Laura Gabriela , Paredes-Gil Katherine , Parra Vargas Carlos Arturo , Lentz Jonathan , Weber Sebastian , Mujica-Roncery Lais 
Published: November 2023

AbstractIn this investigation, the effect of deformation on magnetic properties at low temperatures of FeCr18.2Mn18.9–0.96C + N high interstitial steel was studied. Tensile tests were carried out at room temperature and interrupted at 10, 20, and 30 pct deformation. Magnetic measurements were performed through the vibrating sample magnetometry (VSM) technique from 50 K to 370 K. Microstructural, morphological, and crystalline structural analyses by means of XRD and SEM showed that the material consisted of a homogenous and stable austenitic structure with no presence of α-martensite or ε-martensite. Twinning and dislocation cells are suggested as main deformation mechanisms. The material exhibits a paramagnetic–antiferromagnetic (TNéel) transition below 235 K. The Néel temperature of the material tends to increase due to the deformation. A decrease of the magnetization and magnetic susceptibility for the deformed material was measured. Ab initio calculations were performed and showed that the FCC phase is more stable when carbon and nitrogen are added as interstitial elements compared with the free C + N system, additionally, the critical transition temperature was calculated, with a value in agreement with the experimental data. An influence of the magnetic contribution on the SFE was established, being in the order of 5 mJ/m2.
Visual and chemical cues in the host plant selection of the melon ladybird Chnootriba elaterii (Coleoptera: Coccinellidae)
Authors: Saitta Valerio , Rebora Manuela , Piersanti Silvana , Salerno Gianandrea 
Published: November 2023

AbstractPhytophagous insects employ various sensory cues in the host plant location such as visual, olfactory, gustatory, and tactile stimuli, which are perceived by sensory systems and integrated in higher brain centres to trigger the correct behavioural responses. In the present study, the host location process of the oligophagous species Chnootriba elaterii (melon ladybird) is investigated in controlled conditions using both a Y-Tube olfactometer and an open Y-Track olfactometer. Olfactory and visual cues from the host plant act synergistically to lead the ladybirds towards the host plant. Females of C. elaterii are not able to discriminate between host and non-host plants using either olfactory or visual cues alone. Visual cues, particularly those associated with the colour green, are of higher relative importance compared to olfactory cues in the host location process. Green dummy plants made of cardboard represent strong supernormal stimuli for C. elaterii females. The results of the present study can shed light on the host location process of Coccinellidae and can help to develop visual or chemical traps which can be useful in monitoring and controlling this important crop pest of the Mediterranean Basin.
Lipid Lowering Drugs in Acute Coronary Syndromes (ACS)
Authors: Arnold Natalie , Koenig Wolfgang 
Published: November 2023

Abstract
Purpose of Review
The purpose of this review is to critically discuss whether more aggressive lipid-lowering strategies are needed in patients with acute coronary syndromes (ACS).

Recent Findings
Currently, available data on early (in-hospital/discharge) administration of potent lipid-lowering drugs, such as proprotein convertase subtilisin/kexin 9 (PCSK9) inhibitors in patients during the vulnerable post-ACS phase, have clearly demonstrated clinical efficacy of the “strike early and strike strong” approach not only for rapid reduction of low-density lipoprotein cholesterol (LDL-C) to unprecedentedly low levels, but also for associated favorable composition of coronary plaque.

Summary
Intensive lipid-lowering therapy with rapid achievement of the LDL-C treatment goal in ACS patients seems reasonable. However, whether such profound LDL-C reduction would result in additional benefit on the reduction of future CV events still has to be established. Thus, data addressing CV outcomes in such vulnerable patients at extreme CV risk are urgently needed.
Application of Platelet-Rich Gel in Repairing Scalp Defects Combined with Skull Exposure: A Case Series Analysis
Authors: Wang Pan , Wang Jianbai , Xu Yanan 
Published: November 2023

Abstract
Clinical treatment of exposed skull injuries becomes extremely challenging. The current treatment methods for exposed skull injuries are mainly surgical treatments. However, these treatments are not suitable for elderly patients who cannot tolerate anaesthesia. This research aimed to assess the effectiveness of platelet-rich gel (PRG) as a non-surgical option for repairing exposed skull injuries. In this study, twelve patients who presented to our hospital with scalp defects between September 2018 and March 2022 were included. Patients were evaluated before and three days after treatment using the Visual Analog Scale (VAS) score, inflammatory markers, and topical skin temperature. Additionally, the length of the platelet-rich gel, number of dressing changes, wound-healing time, local scarring, and hair growth were recorded. The average wound area was 17.08 SD5.49 cm2. The platelet-rich gel exhibited a length of 3.09 SD0.09 cm and showed a significant increase in platelet concentration by a factor of 2.43 SD0.07. all 12 patients achieved complete healing, requiring average number of 8.3 SD2.0 dressing changes and resulting in an average wound healing time of 25.0 SD5.8 days. There were no statistically significant differences in the Visual Analog Scale scores, inflammatory markers, or topical skin temperatures before and after treatment. Follow-up assessments conducted 4–10 months after treatment revealed minimal local scars and sparse hair growth. The one-step preparation of platelet-rich gel in reconstructing scalp defects is a simple, safe, and effective non-surgical method. Its advantages include speedy preparation, painless treatment, and small local scars.
Inflammation, Anti-inflammatory Interventions, and Post-stroke Cognitive Impairment: a Systematic Review and Meta-analysis of Human and Animal Studies
Authors: Tack Reinier W. P. , Amboni Claudia , van Nuijs Danny , Pekna Marcela , Vergouwen Mervyn D. I. , Rinkel Gabriel J. E. , Hol Elly M. 
Published: November 2023

AbstractThe pathophysiology and treatment of post-stroke cognitive impairment (PSCI) are not clear. Stroke triggers an inflammatory response, which might affect synapse function and cognitive status. We performed a systematic review and meta-analysis to assess whether patients with PSCI have increased levels of inflammatory markers and whether anti-inflammatory interventions in animals decrease PSCI. We systematically searched PubMed, EMBASE, and PsychInfo for studies on stroke. For human studies, we determined the standardized mean difference (SMD) on the association between PSCI and markers of inflammation. For animal studies, we determined the SMD of post-stroke cognitive outcome after an anti-inflammatory intervention. Interventions were grouped based on proposed mechanism of action. In patients, the SMD of inflammatory markers for those with versus those without PSCI was 0.46 (95% CI 0.18; 0.76; I2 = 92%), and the correlation coefficient between level of inflammation and cognitive scores was − 0.25 (95% CI − 0.34; − 0.16; I2 = 75%). In animals, the SMD of cognition for those treated with versus those without anti-inflammatory interventions was 1.43 (95% CI 1.12; 1.74; I2 = 83%). The largest effect sizes in treated animals were for complement inhibition (SMD = 1.94 (95% CI 1.50; 2.37), I2 = 51%) and fingolimod (SMD = 2.1 (95% CI 0.75; 3.47), I2 = 81%). Inflammation is increased in stroke survivors with cognitive impairment and is negatively correlated with cognitive functioning. Anti-inflammatory interventions seem to improve cognitive functioning in animals. Complement inhibition and fingolimod are promising therapies on reducing PSCI.
Time changes of customer behavior on accommodation reservation: a case study of Japan
Authors: Ito Koichi , Kanemitsu Shunsuke , Kimura Ryusuke , Omori Ryosuke 
Published: November 2023

AbstractThe forecasting of demand or cancellations is highly important for efficient revenue management in the hotel industry. Previous studies have mainly focused on the accuracy of the prediction of reservation number or cancellation rate on a specific accommodation or hotel chain; therefore, the application of the prediction to different accommodations or under the behavioral change of customers in response to natural or human events is difficult without the re-estimation of the prediction model. Information of the customer behavioral trend on the accommodation reservations is necessary for the construction of a general forecasting model. In this study, we focus on one of the general trends of customer behavior, that is, the reservation timing and the time changes of the cancellation probability using the big data of the reservation records provided by an online trip agency in Japan. We showed that the reservation timing and cancellation probability can be decomposed by five and six exponential functions of the days until the stay and the days from the reservations. We also showed that the significant factors influencing the time changing patterns are the guest numbers per room for both reservation and cancellation, composition of guests in terms of the number and gender of guests, and the stay length for reservation. These findings imply that the customer behavior during accommodation reservation could be categorized into multiple motivational factors toward reservations or cancellations. Our results contribute to the construction of a general forecasting model on the accommodation reservations.
PyPads
Authors: Weißgerber Thomas , Amor Mehdi Ben , Fellicious Christofer , Granitzer Michael 
Published: November 2023

AbstractDespite algorithmic advancements in the field of machine learning, a need for improvement in the infrastructure supporting machine learning development and research has become increasingly apparent. Machine learning experiments usually tend to be more ad-hoc in nature, and results are communicated most often in the form of a publication. Experimental details are often omitted due to size or time constraints, or simply because the complexity in terms of technical setup or parametrization became intractable. Even access to code bases, disregard important properties of the environment and experimental setup, like for example random generators or computing infrastructure. At the same time, tracking and communicating an often inherently exploratory scientific process is a task with considerable effort. We explored different venues to tackle these issues from a data science engineering point of view. The efforts resulted in PyPads, a framework providing an infrastructure to extend experimental setups with logging, communication and analysis features in a mostly non-intrusive way. PyPads can be extended to different Python-based frameworks, utilizing community driven, descriptive metadata in an effort to harmonize library specific logs in an ontology. Meanwhile, we also try to emphasize similarities to practices in software engineering, which have turned out to be essential in practical applications.
Episiotomy: Are Indian Obstetricians Getting the Angle Right?
Authors: Okeahialam Nicola Adanna , Sultan Abdul H. 
Published: November 2023

Abstract
Background
A mediolateral episiotomy is recommended when indicated at a 60° angle at crowning, to avoid obstetric anal sphincter injuries (OASIs) by episiotomies angled too close or distant to the anus. This study surveyed obstetricians in India regarding the recommended episiotomy angle and their ability to correctly draw the angle.

Methods
Workshops were conducted in India to share knowledge in the prevention and repair of OASIs. A questionnaire was distributed prior to the workshop. Participants were asked to describe the recommended episiotomy angle and to draw this on a paper replica of the perineum. The intra-class correlation coefficient (ICC) was calculated to assess the inter-rater reliability between the angle stated and drawn. A 2° difference was deemed acceptable. Standard errors of measurement (SEM) were calculated to measure the range of error of each measurement.

Results
One hundred and forty doctors participated. 47.9% described the angle of an episiotomy to be 60°. Only 2.2% drew an angle of 60°, but 8.7% (n = 12) drew between 58 and 62°. Only 5.8% (n = 6) of doctors correctly drew the episiotomy angle they described. There was poor agreement ICC = 0.18 (− 0.01 to 0.36) with a SEM of ± 12.2°

Conclusions
Knowledge surrounding the recommended episiotomy angle is lacking. Doctors are failing to estimate their desired episiotomy angle. This highlights the need for national guidelines, the creation and validation of structured training programmes to improve accuracy, or using fixed-angle devices such as the EPISCISSORS-60 or other proven measurement aids to minimise preventable harm due to human error.
Atractylodin induces apoptosis through downregulation of PI3Kγ-mediated PI3K/Akt/mTOR/p70S6K signalling in colon cancer cells and suppresses the tumour formation in xenograft mice model
Authors: Lu Wenyi , Liu Jianxia , Wu Bin , Huang Shungen , Wang Jian , Wu Runda , Mao Zhongqi 
Published: November 2023

AbstractThis study used both in vitro and in vivo models to evaluate the efficacy of atractylodin as an anticancer treatment for colorectal cancer. The cytotoxicity of atractylodin on colon cancer cells was assessed using the MTT assay, and atractylodin-induced apoptosis was determined using flow cytometry. The expression of cleaved caspase 3 and other apoptotic proteins was examined using Western blotting to determine the mechanism underlying atractylodin's anticancer activity. In addition, the role of PI3K/Akt/mTOR/p70S6K signalling in atractylodin-induced apoptosis in colon cancer cells was analyzed. The study found that atractylodin caused dose-dependent ROS-mediated apoptosis and DNA damage in colon cancer cells and activated caspase 3. Furthermore, atractylodin inhibited the PI3K/Akt/mTOR/p70S6K signalling pathway by targeting PI3Kγ in colon cancer cells. Molecular docking analysis indicated that atractylodin binds to the Akt binding pocket of PI3Kγ. The study also evaluated the antitumour effects of atractylodin on a colon cancer tumour xenograft model and found that it significantly reduced tumour growth and volume by inducing apoptosis. These results suggest that atractylodin has potential as a candidate for the treatment of colorectal cancer, although further research is necessary.
Graphical abstract

Atractylodin induces apoptosis in colon cancer cells.
Delayed blow-up and enhanced diffusion by transport noise for systems of reaction–diffusion equations
Authors: Agresti Antonio 
Published: November 2023

AbstractThis paper is concerned with the problem of regularization by noise of systems of reaction–diffusion equations with mass control. It is known that strong solutions to such systems of PDEs may blow-up in finite time. Moreover, for many systems of practical interest, establishing whether the blow-up occurs or not is an open question. Here we prove that a suitable multiplicative noise of transport type has a regularizing effect. More precisely, for both a sufficiently noise intensity and a high spectrum, the blow-up of strong solutions is delayed up to an arbitrary large time. Global existence is shown for the case of exponentially decreasing mass. The proofs combine and extend recent developments in regularization by noise and in the $$L^p(L^q)$$

L
p

(

L
q

)

-approach to stochastic PDEs, highlighting new connections between the two areas.
Platinum nanoparticles decorated multiwalled carbon nanotube composites as highly transparent, bifacial counter electrodes for dye-sensitized solar cells
Authors: Krishnapriya R. , Nizamudeen C. , Mourad A.-H. I. 
Published: November 2023

AbstractDye-sensitized solar cells (DSSCs) are low-cost solar energy conversion devices with variable color and transparency advantages. DSSCs' potential power efficiency output, even in diffuse light conditions with consistent performance, allows them to be used in building-integrated photovoltaics (BIPV) window applications. Significantly, the development of bifacial DSSCs is getting significant scientific consideration. Triiodide/iodide (I3–/I–) redox couple-mediated DSSCs require highly effective and stable electrocatalysts for I3− reduction to overcome their performance constraints. However, the commonly employed platinum (Pt) cathodes have restrictions on high price and unfavorable durability. Here, we report platinum nanoparticles (Pt NPs) incorporated into multiwalled carbon nanotubes (MWCNT) composites with lower Pt content as an efficient bifacial counter electrode (CE) material for DSSC applications. Pt NPs were homogenously decorated over the MWCNT surfaces using a simple polyol method at relatively low temperatures. CEs fabricated using Pt/MWCNT composites exhibited excellent transparency and power conversion efficiencies (PCE) of 6.92% and 6.09% for front and rear illumination. The results are expected to bring significant advances in bifacial DSSCs for real-world window applications.
The Probabilistic Method in Real Singularity Theory
Authors: Lerario Antonio , Stecconi Michele 
Published: November 2023

AbstractWe explain how to use the probabilistic method to prove the existence of real polynomial singularities with rich topology, i.e., with total Betti number of the maximal possible order. We show how similar ideas can be used to produce real algebraic projective hypersurfaces with a rich structure of umbilical points.
Mechanism and key parameters of stress load-off by innovative asymmetric hole-constructing on the two sides of deep roadway
Authors: Chen Dongdong , Jiang Zaisheng , Xie Shengrong 
Published: November 2023

AbstractTraditional dense large-diameter borehole stress load-off techniques reduce the stress levels in the shallow surrounding rock, weaken the bearing capacity of the shallow surrounding rock, and greatly deteriorate the shallow surrounding rock strength and supporting structure, which is not conducive to maintaining the long-term stability of the roadway. Therefore, to address the control problem for the pronounced extrusion deformation in the two sides of a roadway and the overall outward movement of the shallow surrounding rock supported by the sides bolts and anchor cables, as well as to comprehensively consider the on-site construction conditions of the two sides of a test roadway, stress load-off technology for asymmetric hole construction on the two sides of a roadway is proposed. The asymmetric stress load-off technique is a new method; while the shallow surrounding rock of the roadway sides is strongly anchored via a full anchor cable support form, a group of large stress load-off holes near the deep stress peak line of the roadway sides is excavated to relieve pressure and protect the roadway. This technology can transfer the peak stress area of the roadway side deeper into f the surrounding rock without deteriorating the shallow surrounding rock strength and damaging the supporting structure. A numerical simulation analysis of asymmetric stress load-off on the two sides of the roadway was performed, the stress load-off effect evaluation index was established, and the optimal field construction parameters were obtained. The stress load-off parameters obtained from the study are applicable to field engineering practice. Mine pressure data reveal that the test roadway remains intact and stable during the use period when the asymmetric stress load-off technique is adopted.
Numerical modelling of gas outburst from coal: a review from control parameters to the initiation process
Authors: Soleimani Fatemeh , Si Guangyao , Roshan Hamid , Zhang Jian 
Published: November 2023

AbstractAmong all methods for investigating the complex phenomenon of the coal and gas outburst, numerical modelling is the most comprehensive one that can consider all involved parameters and simulate the complex multi-physical phenomenon. The main aim of this paper is to review recent numerical modelling studies concerning this disastrous phenomenon observed in coal mining. The paper aims to analyse these studies comprehensively and identify any existing research gaps that could be addressed in future research endeavours. To this end, the concepts and equations that have been used in previous studies to simulate the solid and fluid behaviour during outburst initiation and how these equations are coupled to consider multiphysical interactions were reviewed. Both strengths and deficiencies in past outburst modelling work were highlighted. Finally, potential research topics for future studies were discussed in three categories; looking into the outburst phenomenon in the scale of the particles which is mostly focused on the discrete element method, conservation of the energy as a method to quantitively assess outburst initiation, and the application of statistics in both applying the heterogeneity in the models and assessing the possibility of the outburst occurrence.
Investigations on the continuous flow generation of 2,6-dichloro-N-fluoropyridinium tetrafluoroborate using F2 gas
Authors: Simon Kevin , Znidar Desiree , Glotz Gabriel , Dallinger Doris , Kappe C. Oliver 
Published: November 2023

AbstractAn explorative study on the continuous flow generation of the N-F reagent 2,6-dichloro-1-fluoro-pyridinium tetrafluoroborate from 2-6-dichloropyridine and 10% F2/N2 and its telescoped downstream electrophilic fluorination reaction with an enamine is reported. The 2-step procedure was performed in a modular lab-scale silicon carbide flow reactor, which safely allowed processing corrosive F2 and precise temperature control. Both reaction sequences turned out to be very fast when carried out in flow at − 10 °C: the N-F generation step could be done within 7.9 s and only 6.6 s were necessary for the fluorination of the enamine.
Graphical abstract
Almost sure convergence and second moments of geometric functionals of fractal percolation
Authors: Klatt Michael A. , Winter Steffen 
Published: November 2023

AbstractWe determine almost sure limits of rescaled intrinsic volumes of the construction steps of fractal percolation in
${\mathbb R}^d$
for any dimension
$d\geq 1$
. We observe a factorization of these limit variables which allows one, in particular, to determine their expectations and covariance structure. We also show the convergence of the rescaled expectations and variances of the intrinsic volumes of the construction steps to the expectations and variances of the limit variables, and we give rates for this convergence in some cases. These results significantly extend our previous work, which addressed only limits of expectations of intrinsic volumes.