bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence of Oxygen on PdCoO2: Structure, Thermogravimetry, Photoemission, Magnetic and μ‐Raman Spectroscopic Studies
Authors: John Lisa , Murugesan S. , Balakrishnan S. , Ambika N. , Chakraborty Soumee , Sathyanarayana A. T. , Ravindran T. R. , Sivaraman N. , Gnanasekar K. I. 
Published: November 2023

AbstractMolten salt synthesized PdCoO2 annealed in argon and air exhibits a reversible weight change of about 2.5 %. Le Bail refinements confirm rhombohedral structures without any appreciable change in the lattice parameters for the given weight change. X‐ray photoemission studies show that oxygen uptake/loss did not change the oxidation states of Pd from its nominal +1 state whereas Co4+ is detected in addition to the Co3+ and the fraction of Co4+ increases marginally with oxygen gain. The impact of weight change on the magnetization of PdCoO2 is very low with a minimum difference. As the low‐spin Co3+ ions are non‐magnetic, the observed magnetization with a ferromagnetic transition at ~25 K is attributed to the low‐spin Co4+ ions in the lattice. Raman active bands observed at 700 cm−1 (A1g) and 508 cm−1 (Eg) correspond to the Pd−O stretching and bending modes respectively with Co3+ environment. Additional peaks at 681 and 473 cm−1 with relatively less intensity arise from the weaker Pd−O bond with oxygen linked to Co4+.
Vanadium (IV) Complex Synthesized Using Natural Product Lawsone as Efficient Catalyst for Oxidation of Activated sp3 C−H Bond
Authors: Nariya Pratik , Prajapati Sachin , Thakore Sonal 
Published: November 2023

AbstractThe vanadium (IV) complex has been synthesized from naturally occurring lawsone and characterized by FT‐IR, UV‐Visible, ESI‐MS, powder XRD, and EPR spectroscopy. DFT calculation was performed for the optimization of complex geometry. The selective oxidation of diphenylmethane to benzophenone with tert‐butylhydrogenperoxide (TBHP) as an oxidant, was evaluated using the vanadium (IV) complex. The effect of several reaction parameters, such as temperature, catalyst quantity, and solvent type, was investigated. Under the optimal reaction conditions, diphenylmethane was transformed to benzophenone with a 96 % conversion with complete selectivity confirmed by GC‐MS. Further, the scope of the catalyst could be extended for the oxidation of other substrate having benzylic sp3 C−H bond.
TMSOTf‐Promoted Synthesis of Quinazolin‐4(3H)‐one Utilizing DMSO as a Carbon Source
Authors: Kumar Sumit , Sivakumar. Ragupathy , Padala Kishor , Maiti Barnali 
Published: November 2023

AbstractAn efficient TMSOTf‐promoted multicomponent reaction has been developed for the one‐pot synthesis of quinazolin‐4 (3H)‐ones. Using the TMSOTf as a Lewis acid promoter and DMSO as a carbon source, the reaction of isatoic anhydride, primary amines yielded a variety of quinazolines‐4 (3H)‐ones. Additionally, TMSOTf promoted the reaction of 2‐amino‐N‐substituted benzamide with DMSO yielding the same scaffolds in high yields. However, the use of DMSO‐d6 as a solvent in the reaction enabled the incorporation of the −CD moiety in quinazolines‐4 (3H)‐one skeleton. This proves that DMSO plays a twin role as a C1 source and solvent. Various functional groups containing a wide range of quinazolin‐4 (3H)‐ones and other heterocycles were developed employing this methodology. Also, the synthetic methodology has been extended for the synthesis of 3‐(2‐carboxyphenyl)‐4‐(3H)‐quinazolinone, as an anti‐endotoxic drug.
Virtual Screening Based on Docking and Molecular Dynamics Simulations of Potential Ebola Receptor Inhibitors
Authors: Sinha Prashasti , Yadav Anil Kumar 
Published: November 2023

AbstractGalidesivir (BCX4430) is known to treat different viruses under Filoviridae family and it has proved as a potential antiviral drug against Ebola virus. Therefore, for treating Ebola virus in particular there is a need for the identification a drug compound. In this work, derivatives of Pyrrolopyrimidine are designed to investigate their antiviral activity against Ebola virus receptors (VP24, VP30, VP35 and VP40). FBDD‐based virtual screening resulted in eight compounds, based on pharmacokinetics and Density Functional Theory (DFT) analysis; four compounds were shortlisted. Further, docking simulation resulted that, compound 4 exhibited −9.8, −9.6, −9.7, −9.5 kcal/mol binding energy against each Ebola receptor, respectively. The predicted docking results of the above compound against each receptor were better than BCX4430. Docking results were validated and compared to BCX4430 by performing Molecular Dynamic simulations at 100 ns, in order to study the Root Mean Square Deviation, Root Mean Square Fluctuation, Radius of Gyration and MM/PBSA of the docked complexes. Therefore, the study lays the foundation for the designed and screened compound to act as a probable drug compound against Ebola.
A Bacterial Responsive Microneedle Dressing with Hydrogel Backing Layer for Chronic Wound Treatment
Authors: Yang Li , Gao Yiwen , Liu Qingyun , Li Wenjing , Li Zimu , Zhang Dan , Xie Rixin , Zheng Yi , Chen Hongzhong , Zeng Xiaowei 
Published: November 2023

AbstractThe treatment of chronic wounds still presents great challenges due to being infected by biofilms and the damaged healing process. The current treatments do not address the needs of chronic wounds. In this study, a highly effective dressing (Dox‐DFO@MN Hy) for the treatment of chronic wounds is described. This dressing combines the advantages of microneedles (MNs) and hydrogels in the treatment of chronic wounds. MNs is employed to debride the biofilms and break down the wound barrier, providing rapid access to therapeutic drugs from hydrogel backing layer. Importantly, to kill the pathogenic bacteria in the biofilms specifically, Doxycycline hydrochloride (Dox) is wrapped into the polycaprolactone (PCL) microspheres that have lipase‐responsive properties and loaded into the tips of MNs. At the same time, hydrogel backing layer is used to seal the wound and accelerate wound healing. Benefiting from the combination of two advantages of MNs and hydrogel, the dressing significantly reduces the bacteria in the biofilms and effectively promotes angiogenesis and cell migration in vitro. Overall, Dox‐DFO@MN Hy can effectively treat chronic wounds infected with biofilms, providing a new idea for the treatment of chronic wounds.
A paradigm shift in designing circular steel buildings: Some key principles and pioneering projects
Authors: Charlier Marion , Vassart Olivier 
Published: November 2023

AbstractThe building and construction sector is responsible for approximately 40 % of global carbon emissions, and if improvement is not made in the short term, this impact will probably double in the next 20 years. Recently, the European Green Deal set a target of achieving net‐zero greenhouse gas emissions by 2050, for which the construction industry will need to apply drastic measures given the significance of its impact on the global emissions. Efficient ways of proceeding in that direction, allowing to quantify and effectively reduce the carbon emissions of buildings and infrastructures, rely on life‐cycle assessments (LCA) and circularity concepts. Applying the latter in practice requires a paradigm shift, which is necessary to implement in the earliest stages of a construction project if an effective, robust and realistic result is targeted. This article covers some key principles which can be kept in mind for the preparation of a circular construction project, as well as some pioneering projects in Europe which highlight a real possibility of delivering circular steel buildings.
Rapid analysis of hydrogen cyanide in fresh cassava roots using NIRSand machine learning algorithms: Meeting end user demand for low cyanogenic cassava
Authors: Kanaabi Michael , Namakula Fatumah B. , Nuwamanya Ephraim , Kayondo Ismail S. , Muhumuza Nicholas , Wembabazi Enoch , Iragaba Paula , Nandudu Leah , Nanyonjo Ann Ritah , Baguma Julius , Esuma Williams , Ozimati Alfred , Settumba Mukasa , Alicai Titus , Ibanda Angele , Kawuki Robert S. 
Published: November 2023

AbstractThis study focuses on meeting end‐users’ demand for cassava (Manihot esculenta Crantz) varieties with low cyanogenic potential (hydrogen cyanide potential [HCN]) by using near‐infrared spectrometry (NIRS). This technology provides a fast, accurate, and reliable way to determine sample constituents with minimal sample preparation. The study aims to evaluate the effectiveness of machine learning (ML) algorithms such as logistic regression (LR), support vector machine (SVM), and partial least squares discriminant analysis (PLS‐DA) in distinguishing between low and high HCN accessions. Low HCN accessions averagely scored 1–5.9, while high HCN accessions scored 6–9 on a 1–9 categorical scale. The researchers used 1164 root samples to test different NIRS prediction models and six spectral pretreatments. The wavelengths 961, 1165, 1403–1505, 1913–1981, and 2491 nm were influential in discrimination of low and high HCN accessions. Using selected wavelengths, LR achieved 100% classification accuracy and PLS‐DA achieved 99% classification accuracy. Using the full spectrum, the best model for discriminating low and high HCN accessions was the PLS‐DA combined with standard normal variate with second derivative, which produced an accuracy of 99.6%. The SVM and LR had moderate classification accuracies of 75% and 74%, respectively. This study demonstrates that NIRS coupled with ML algorithms can be used to identify low and high HCN accessions, which can help cassava breeding programs to select for low HCN accessions.
Evolution toward intelligent communications: Impact of deep learning applications on the future of 6G technology
Authors: Abd Elaziz Mohamed , Al‐qaness Mohammed A. A. , Dahou Abdelghani , Alsamhi Saeed Hamood , Abualigah Laith , Ibrahim Rehab Ali , Ewees Ahmed A. 
Published: November 2023

AbstractThe sixth generation (6G) represents the next evolution in wireless communication technology and is currently under research and development. It is expected to deliver faster speeds, reduced latency, and greater capacity compared to the current 5G wireless technology. 6G is envisioned as a technology capable of establishing a fully data‐driven network, proficient in analyzing and optimizing end‐to‐end behavior and handling massive volumes of real‐time data at rates of up to terabits per second (Tb/s). Moreover, 6G is designed to accommodate an average of 1000+ substantial connections per person over the course of a decade. The concept of a data‐driven network introduces a new service paradigm, which offers fresh opportunities for applications within 6G wireless communication and network design in the future. This paper aims to provide a survey of existing applications of 6G that are based on deep learning techniques. It also explores the potential, essential technologies, scenarios, challenges, and related topics associated with 6G. These aspects are crucial for meeting the requirements for the development of future intelligent networks. Furthermore, this work delves into various research gaps between deep learning and 6G that remain unexplored. Different potential deep learning applications for 6G networks, including privacy, security, environmentally friendly communication, sustainability, and various wireless applications, are discussed. Additionally, we shed light on the challenges and future trends in this field.This article is categorized under:
Technologies > Computational Intelligence
Fundamental Concepts of Data and Knowledge > Explainable AI
Technologies > Machine Learning
Current status on pair-produced muon-philic vectorlike leptons in multilepton channels at the LHC
Authors: Kawamura Junichiro , Shin Seodong 
Published: November 2023

Abstract
In this work, we obtain the current limits on the pair production of vectorlike leptons decaying to a Standard Model gauge boson and a lepton in the second generation using the Run-2 data at the LHC. Since there is no dedicated search out of Run-2 data, we recast the ATLAS analyses searching for the type-III seesaw heavy leptons in the multi-lepton channels. There is no limit for the SU(2)L singlet vectorlike lepton beyond about 100 GeV, while the limit is about 780 GeV for the doublet one. Thus, dedicated searches for the vectorlike leptons are necessary, especially for the singlet one. We also study the general cases of the vectorlike lepton decays and future sensitivities at the HL-LHC.
Conformal Renormalization of topological black holes in AdS6
Authors: Anastasiou Giorgos , Araya Ignacio J. , Corral Cristóbal , Olea Rodrigo 
Published: November 2023

AbstractWe present a streamlined proof that any Einstein-AdS space is a solution of the Lu, Pang and Pope conformal gravity theory in six dimensions. The reduction of conformal gravity into Einstein theory manifestly shows that the action of the latter can be written as the Einstein-Hilbert term plus the Euler topological density and an additional contribution that depends on the Laplacian of the bulk Weyl tensor squared. The prescription for obtaining this form of the action by embedding the Einstein theory into a Weyl-invariant purely metric theory, was dubbed Conformal Renormalization and its resulting action was shown to be equivalent to the one obtained by holographic renormalization. As a non-trivial application of the method, we compute the Noether-Wald charges and thermodynamic quantities for topological black hole solutions with generic transverse section in Einstein-AdS6 theory.
Graft failure within 2 years of isolated anterior cruciate ligament reconstruction is associated with increased risk of secondary meniscus tears
Authors: Sproul David , Agarwal Amil , Malyavko Alisa , Mathur Abhay , Kreulen R. Timothy , Thakkar Savyasachi C. , Best Matthew J. 
Published: November 2023

AbstractPurposeA debilitating complication following anterior cruciate ligament reconstruction is a secondary meniscus tear. Currently, the literature is mixed regarding the risk factors associated with the incidence of secondary meniscus tears. The aim of this study was to investigate risk factors associated with meniscus tears following an isolated primary anterior cruciate ligament reconstruction. ACL graft failure was hypothesized to be the strongest risk factor for secondary meniscal injury occurrence.MethodsA retrospective cohort analysis was performed using the PearlDiver Database. Patients with a primary anterior cruciate ligament reconstruction were identified in the database. Patients with concomitant knee ligament injury or meniscus injury present at the time the index procedure were excluded. Patients were grouped to those who had a secondary meniscus tear within 2 years following anterior cruciate ligament reconstruction and those who did not. Univariate analysis and multivariable regression analysis was conducted to identify significant risk factors for a secondary meniscus tear.ResultsThere were 25,622 patients meeting criteria for inclusion in this study. Within 2 years from the primary anterior cruciate ligament reconstruction, there were 1,781 patients (7.0%) that experienced a meniscus tear. Graft failure had the highest odds of having a postoperative meniscus tear within 2 years (OR: 4.1; CI 3.5–4.8; p < 0.002). Additional significant risk factors included tobacco use (OR: 2.0; CI 1.0–3.1; p < 0.001), increased Charlson Comorbidity Index (OR: 1.2; CI 1.1–1.4), male gender (OR: 1.1; CI 1.1–1.2; p < 0.001), obesity (OR: 1.1; CI 1.1–1.2; p < 0.001), delayed surgery (OR:1.1; CI 1.1–1.2; p < 0.002), and patients age 30 and older (OR: 1.0; CI 1.0–1.0; p < 0.001).ConclusionsThis study found that anterior cruciate ligament graft failure is the strongest predictor of post‐operative meniscus tears. Other risk factors, including tobacco use, increased CCI, male gender, obesity, delayed surgery, and age 30 and older, were established, with several being modifiable. Therefore, targeted preoperative optimization of modifiable risk factors and postoperative protocols may reduce the risk of secondary meniscus tears.Level of evidenceLevel III, prognostic trial.
Application of ultrasound-guided percutaneous nephrostomy in the treatment of a solitary kidney with hydronephrosis due to renal tuberculosis
Authors: Zhang Bingsong , Li Lei , Zhang Gengchen , Wang Jinshan , Cao Bingsheng , Li Zhuo 
Published: November 2023

Abstract
Purpose
To investigate the value of ultrasound-guided percutaneous nephrostomy and nephrostomy tube replacement for treating a solitary kidney with hydronephrosis due to renal tuberculosis.

Methods
Clinical data of patients with a solitary kidney with hydronephrosis caused by renal tuberculosis who underwent ultrasound-guided percutaneous nephrostomy in our hospital from January 2011 to December 2022 were retrospectively analyzed. The associated success rate and complications were statistically analyzed, pre- and post-catheterization changes in serum creatinine and blood urea nitrogen levels were compared, success rate and complications of nephrostomy tube replacement in patients with long-term catheterization were statistically analyzed, and the impact of long-term catheterization on patient life was investigated.

Results
Overall, 32 patients aged 17–75 years (average age: 44.1 ± 16.9 years) underwent ultrasound-guided percutaneous nephrostomy. Sixty-three punctures were performed; the puncture success rate was 100%. The levels of serum creatinine and blood urea nitrogen of patients decreased after catheterization, and the differences between the pre-catheterization and post-catheterization were significant (P < 0.05). There were 1, 3, and 12 cases of serious, minor, and fistula-related complications, respectively. The mean duration of the indwelling catheter was 56.7 ± 36.2 (range, 13–120) months. The number of nephrostomy tube replacements was 344 times, and the success rate was 100%. All patients could take care of the puncture point by themselves.

Conclusion
Ultrasound-guided percutaneous nephrostomy and nephrostomy tube replacement have a high success rate and few complications, which can improve the renal function of patients. It is of great value for treating a solitary kidney with hydronephrosis caused by renal tuberculosis.
Population-wide evaluation of artificial intelligence and radiologist assessment of screening mammograms
Authors: Kühl Johanne , Elhakim Mohammad Talal , Stougaard Sarah Wordenskjold , Rasmussen Benjamin Schnack Brandt , Nielsen Mads , Gerke Oke , Larsen Lisbet Brønsro , Graumann Ole 
Published: November 2023

Abstract
Objectives
To validate an AI system for standalone breast cancer detection on an entire screening population in comparison to first-reading breast radiologists.

Materials and methods
All mammography screenings performed between August 4, 2014, and August 15, 2018, in the Region of Southern Denmark with follow-up within 24 months were eligible. Screenings were assessed as normal or abnormal by breast radiologists through double reading with arbitration. For an AI decision of normal or abnormal, two AI-score cut-off points were applied by matching at mean sensitivity (AIsens) and specificity (AIspec) of first readers. Accuracy measures were sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and recall rate (RR).

Results
The sample included 249,402 screenings (149,495 women) and 2033 breast cancers (72.6% screen-detected cancers, 27.4% interval cancers). AIsens had lower specificity (97.5% vs 97.7%; p < 0.0001) and PPV (17.5% vs 18.7%; p = 0.01) and a higher RR (3.0% vs 2.8%; p < 0.0001) than first readers. AIspec was comparable to first readers in terms of all accuracy measures. Both AIsens and AIspec detected significantly fewer screen-detected cancers (1166 (AIsens), 1156 (AIspec) vs 1252; p < 0.0001) but found more interval cancers compared to first readers (126 (AIsens), 117 (AIspec) vs 39; p < 0.0001) with varying types of cancers detected across multiple subgroups.

Conclusion
Standalone AI can detect breast cancer at an accuracy level equivalent to the standard of first readers when the AI threshold point was matched at first reader specificity. However, AI and first readers detected a different composition of cancers.

Clinical relevance statement
Replacing first readers with AI with an appropriate cut-off score could be feasible. AI-detected cancers not detected by radiologists suggest a potential increase in the number of cancers detected if AI is implemented to support double reading within screening, although the clinicopathological characteristics of detected cancers would not change significantly.

Key Points
• Standalone AI cancer detection was compared to first readers in a double-read mammography screening population.
• Standalone AI matched at first reader specificity showed no statistically significant difference in overall accuracy but detected different cancers.
• With an appropriate threshold, AI-integrated screening can increase the number of detected cancers with similar clinicopathological characteristics.
3D C-arm navigated acromioclavicular joint stabilization
Authors: Böhringer Alexander , Gebhard Florian , Dehner Christoph , Eickhoff Alexander , Cintean Raffael , Pankratz Carlos , Schütze Konrad 
Published: November 2023

Abstract
Introduction
Surgical treatment options for acromioclavicular joint separations are varied. Frequently, suspension devices (SD) are inserted for stabilization under arthroscopic view. This study investigates the feasibility and accuracy of three-dimensional (3D) digital-volume-tomography (DVT) C-arm navigated implantation with regard to the general trend toward increasingly minimally invasive procedures.

Materials and methods
The implantation of a TightRope® suture button system (SD) via a navigated vertical drill channel through the clavicle and coracoid was investigated in 10 synthetic shoulder models with a mobile isocentric C-arm image intensifier setup in the usual parasagittal position. Thereby, in addition the placement of an additive horizontal suture cerclage via a navigated drill channel through the acromion was assessed.

Results
All vertical drill channels in the Coracoclavicular (CC) direction could be placed in a line centrally through the clavicle and the coracoid base. The horizontal drill channels in the Acromioclavicular (AC) direction ran strictly in the acromion, without affecting the AC joint or lateral clavicle. All SD could be well inserted and anchored. After tensioning and knotting of the system, the application of the horizontal AC cerclage was easily possible. The image quality was good and all relevant structures could be assessed well.

Conclusion
Intraoperative 3D DVT imaging of the shoulder joint using a mobile isocentric C-arm in the usual parasagittal position to the patient is possible. Likewise, DVT navigated SD implantation at the AC joint in CC and AC direction on a synthetic shoulder model. By combining both methods, the application in vivo could be possible. Further clinical studies on feasibility and comparison with established methods should be performed.