bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Clinical Behavior and Recurrence Patterns of Oral Cavity Cancer in Oral Lichen Planus Patients
Authors: Yosefof Eyal , Kurman Noga , Edri Nofar , Rosenfeld Eli , Bachar Gideon , Shpitzer Thomas , Yehuda Moshe , Mizrachi Aviram , Najjar Esmat 
Published: January 2024

ObjectivesOral lichen planus (OLP) is a chronic inflammatory disorder involving epithelia with squamous differentiation. Although described as a potential malignant precursor, the characteristics of malignancies arising among these patients are not widely described. Our goal was to describe the patterns of disease recurrence of patients with oral cavity squamous cell carcinoma (OSCC) arising on the background of OLP.MethodsA retrospective analysis of all surgically treated patients with OSCC at a university‐affiliated tertiary care center between 2000 and 2020.ResultsTwo hundred seventy‐nine patients with OSCC treated surgically were included. Forty (14.3%) had OLP. The mean age of patients with OLP was 70.9 years compared with 64.3 years for non‐OLP patients (p = 0.03). OLP patients had a significantly higher rate of disease recurrence, persistence, or multiple primary disease (70% vs. 33.9%, p < 0.001). The mean number of sequential oncologic events for each patient with recurrence was also significantly higher among OLP patients (1.86 vs. 1.36, p = 0.03), a difference explained by a higher rate of multiple primary presentations (0.71 vs. 0.28, p = 0.008). A significant difference in disease‐free survival (DFS) was demonstrated between the groups as patients with OLP had a lower 5‐year DFS (34.7% vs. 61.3%, log‐rank p value <0.001). On multivariate analysis, OLP was significantly associated with multiple primary events (p < 0.001, Odds ratio = 7.42, 95% confidence interval 2.9–19).ConclusionsOSCC patients with OLP background demand close clinical follow‐up, as multiple primary disease is significantly more common and the DFS is significantly lower among these patients. A thorough clinical evaluation for all oral cavity subsites is mandatory.Level of Evidence3 Laryngoscope, 134:3146–3151, 2024
Elucidating the response mechanisms of hydrological and sediment connectivity to the river network structure, vegetation, and topographic features in the Jinghe River Basin
Authors: Liu Shuai , Wu Lei , Guo Zongjun , Zhang Huiyong , Du Bailin 
Published: January 2024

AbstractThe management of basin water and soil resources greatly benefits from investigating the spatial changes and primary determinants of hydrological and sediment connectivity from perspectives of topographic features, vegetation characteristics, structural features of river networks. However, quantifying the effects of influencing factors and their interactions on connectivity is still a challenge in the field of studies of surface processes. To address this challenge, we applied the geographical detector model (GDM) and random forest (RF) to quantify the relative importance and explanatory power of topographic factors, vegetation features, and river network structure on the hydrological connectivity and sediment connectivity and to clarify the interaction mechanism of various factors in the Jinghe River Basin. Results indicate that from 2005 to 2020, the mean value of hydrological connectivity (ICH) witnessed a decreasing trend from −5.47 to −5.58. Similarly, the mean value of sediment connectivity (ICS) declined over the same period from −9.74 to −10.05, with high values registered in valleys and low values in plains. The river density (D) and hydrological weight factor (normalized SCS‐CN) exhibited a greater spatial explanatory power on ICH than other parameters, reaching 0.149 and 0.182, respectively. The vegetation factor (0.299) and sediment weight factor (0.410) manifested considerably more influence over ICS. Spatial integration between relevant elements can enhance our understanding of basin connectivity. Interactions between vegetation, topography, and river network structure provide more explanatory power compared to interactions among same‐type features. Ultimately, this study offers a theoretical template for understanding the management of soil and water resources in the Jinghe River Basin, as well as the spatial variability in soil erosion.
Analysis of response signals to minimally invasive laser modulation in laser cutting
Authors: de Oliveira Lopes M. , Schneider F. , Petring D. , Gillner A. 
Published: January 2024

AbstractA robust real‐time monitoring system for the laser cutting process has been targeted by researchers and users for several decades without significant breakthrough. The use of coaxial photodiodes provides a cost‐effective and straightforward system; however, the assessment of the process state based on the spatially integrated detected signals can lead to misinterpretation due to the numerous and interacting parameter dependencies of the signals. To obtain a clear correlation of the signals to the process state, minimally invasive laser modulation stimulates characteristic state‐dependent response signals. In this study, the response signals to a laser power modulation are analyzed in the visible and infrared range. Furthermore, a spatially and temporally resolved analysis of the process response is enabled by means of high‐speed videography. This provides a comprehensive understanding of the process state in terms of temperature and geometry response to the modulation and offers a reliable exploitation of process emissions for real‐time monitoring and control applications.
The effect of carbon addition on the mechanical properties and fracture behaviors of cobalt‐chromium‐iron‐ manganese‐nickel high entropy alloy
Authors: Leng C. , Yang H. , Yi G. , Lo H. , Li J. , Li Y. 
Published: January 2024

AbstractThe uniaxial tensile and cupping tests of cobalt‐chromium‐iron‐manganese‐nickel high entropy alloy were performed to investigate the effect of solid soluted carbon addition on the strengthening mechanism. The results revealed that at 0.5 at % carbon, the tensile strength, uniform elongation, and cupping strength of the sample were promoted. However, the brittleness fracture appeared by further increasing carbon to 1.0 at %, as caused by the carbides along grain boundary.
Spatiotemporal omics of life energy: Towards medicine of frequencies and terahertz drugs
Authors: Wang Li‐Ping , Gao Feng , Zhao Zhou‐Xiang , Liu Shi‐hao , Xu Rui‐Song , Guo Jun , Zhang Feng 
Published: January 2024

AbstractThe quantum mechanisms how life efficiently utilizes energy and transmits information remain unclear yet. Frequency medicine, an emerging cross‐discipline of both quantum mechanics and biomedicine, is a promising turning point for biomaterials and medicine developing from the matter level to the energy level. Recognizing the pivotal role of molecular vibrational frequencies in resonant energy coupling and transmission underscores the potential of frequency medicine to precisely regulate biomaterial vibrations, influencing interactions and reactions in living organisms. At present, scientists have unveiled sophisticated phototherapeutics; nevertheless, their advancement necessitates the precise mapping of the life energy. In contrast to genomics, proteomics, and metabolomics studied on the matter level, omics of frequencies related to medicine should be on the energy level. Herein, starting from the history of frequency medicine, and followed by the introduction of vibrational strong coupling applications in life sciences, we emphasize the significance, necessity, and urgency of studying spatiotemporal omics of medicine frequencies. By decoding the energy atlas of life, we can acquire profound insights into the quantum mechanisms that govern life processes from an energy standpoint. We anticipate that the integration of biomaterials with spatiotemporal frequency omics related to medical research will contribute significantly to advancing the goals of precision medicine, potentially revolutionizing pharmaceuticals, such as terahertz drugs.
Integrated commercial and operations planning model for schedule design, aircraft rotation and crew scheduling in airlines
Authors: Garg Ankur , Agarwal Yogesh , Srivastava Rajiv Kumar , Jakhar Suresh Kumar 
Published: January 2024

AbstractThe commercial and operations planning in airlines has traditionally been a hierarchical process starting with flight schedule design, followed by fleet assignment, aircraft rotation planning and finally the crew scheduling. The hierarchical planning approach has a drawback that the optimal solution for a planning phase higher in hierarchy may either be infeasible for the subsequent phase or may lead to a sub‐optimal overall solution. In this paper, we solve a profit‐maximizing integrated planning model for clean‐sheet “rotated” schedule design with flight re‐time option and crew scheduling for a low‐cost carrier (LCC) in an emerging market. While the aircraft rotation problem has been traditionally modeled in the literature as a daily routing of individual aircraft for maintenance requirement, in this work we address the requirement of planned aircraft rotations as part of schedule design for LCCs. The planned aircraft routing is important in our case to create as many via‐flights as possible due to the underserved nature of the emerging market. We solve this large‐scale integer‐programming problem using two approaches – Benders Decomposition and Lagrangian Relaxation. For Lagrangian Relaxation, we exploit the special structure of our problem and intuitive understanding behind the Lagrangian duals to develop a multiplier adjustment approach to find an improved lower bound of integrated model solution. The crew‐pairing sub‐problem is solved using column generation through multi‐label shortest path algorithm followed by branch‐and‐price for integer solution. We test our solution methodology on a flight universe of 378 unique flights for different problem sizes by varying the number of aircraft available for operations. Our computational results show that within a reasonable run time of few hours both the approaches, Benders Decomposition and Lagrangian Relaxation, are successful in finding lower bounds of the integrated model solution, which are higher than the solution of traditional hierarchical approach by 0.5%–2.5%. We find Lagrangian Relaxation methodology to usually attain an improved solution faster than the Benders Decomposition approach, particularly for large‐scale problems.
Measuring neurobehavioral side effects of corticosteroids in pediatric acute lymphoblastic leukemia: A scoping review
Authors: Bhasin Shreya , Brown Joshua , Dorste Anna , Samsel Chase , Vrooman Lynda M. , Muriel Anna C. 
Published: January 2024

AbstractCorticosteroids are essential to curative acute lymphoblastic leukemia (ALL) treatment, yet have significant neuropsychiatric side effects that decrease quality of life for patients and families. We conducted a scoping review, following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta‐Analyses) guidelines, to describe the existing measurement tools used to evaluate neurobehavioral side effects of corticosteroids in pediatric ALL. From various databases and registers, 4047 studies were identified. Twenty‐four articles met inclusion criteria. Clinical assessment was most used to evaluate these symptoms. Twelve validated measures were identified. Existing data about neuropsychiatric side effects of corticosteroids in pediatric ALL are extremely heterogeneous, creating challenges for standardized assessment and management.
A collaborative framework for unifying typical multidimensional solar cell simulations – Part I. Ten common simulation steps and representing variables
Authors: Ma Fa‐Jun , Wang Shaozhou , Yi Chuqi , Zhou Lang , Hameiri Ziv , Bremner Stephen , Hao Xiaojing , Hoex Bram 
Published: January 2024

AbstractMultidimensional simulations for diverse solar cells often encounter distinctive configurations, even when employing the same simulation software. The complexity and inefficiency of this process are further exacerbated when employing different simulators. From our extensive decade‐long experience in numerical simulations of diverse solar cells, we have identified ten common simulation steps intrinsic to typical electrical and optical simulations. Subsequently, we propose ten sets of variables that encompass all the relevant details required for these steps. To address the challenge of varying information requirements for each variable across different simulations, we assign a list, a versatile data type, to each variable. This approach, by design, enables concise, coherent, and flexible input, accommodating the unique demands of each simulation. However, to ensure unambiguous simulations, precise specifications for these variables are essential. Computer code has been successfully implemented to ensure adherence to specifications and expedite variable synchronization with Sentaurus, the de facto standard for device simulation. Within this framework, users are only tasked with editing variables in a plain text file, obviating the need for in‐depth knowledge of Sentaurus. This streamlines the prerequisites for engaging in numerical simulation significantly. Through thoughtful design considerations, we preserve the simulation capacity while simultaneously enhancing productivity considerably. This open‐source framework welcomes global collaboration within the photovoltaic community and has the potential to generate an extensive dataset for cost‐effective artificial intelligence training.
iDVEIP: A computer‐aided approach for the prediction of viral entry inhibitory peptides
Authors: Kao Hui‐Ju , Weng Tzu‐Hsiang , Chen Chia‐Hung , Chen Yu‐Chi , Huang Kai‐Yao , Weng Shun‐Long 
Published: January 2024

AbstractWith the notable surge in therapeutic peptide development, various peptides have emerged as potential agents against virus‐induced diseases. Viral entry inhibitory peptides (VEIPs), a subset of antiviral peptides (AVPs), offer a promising avenue as entry inhibitors (EIs) with distinct advantages over chemical counterparts. Despite this, a comprehensive analytical platform for characterizing these peptides and their effectiveness in blocking viral entry remains lacking. In this study, we introduce a groundbreaking in silico approach that leverages bioinformatics analysis and machine learning to characterize and identify novel VEIPs. Cross‐validation results demonstrate the efficacy of a model combining sequence‐based features in predicting VEIPs with high accuracy, validated through independent testing. Additionally, an EI type model has been developed to distinguish peptides specifically acting as Eis from AVPs with alternative activities. Notably, we present iDVEIP, a web‐based tool accessible at http://mer.hc.mmh.org.tw/iDVEIP/, designed for automatic analysis and prediction of VEIPs. Emphasizing its capabilities, the tool facilitates comprehensive analyses of peptide characteristics, providing detailed amino acid composition data for each prediction. Furthermore, we showcase the tool's utility in identifying EIs against severe acute respiratory syndrome coronavirus‐2 (SARS‐CoV‐2).
Implementation of bubble continuous positive airway pressure for children with severe pneumonia and hypoxemia in intensive care unit of Dhaka Hospital, Bangladesh—Effect on pneumonia mortality
Authors: Chisti Mohammod J. , Clemens John D. , K. M. Shahunja , Shahid Abu S. M. S. B. , Sarmin Monira , Afroze Farzana , Shaly Nusrat J. , Kabir Farhad , Rahman Ahmed E. , El Arifeen Shams , Ahmed Tahmeed , Duke Trevor 
Published: January 2024

AbstractBackgroundAfter the completion of a randomized trial at Dhaka Hospital in 2013, bubble continuous positive airway pressure (BCPAP) oxygen therapy was incorporated as the part of the standard treatment for children with severe pneumonia with hypoxemia in an intensive care unit at Dhaka Hospital in August 2013 instead of World Health Organization (WHO) standard low flow oxygen therapy.ObjectiveTo understand the long‐term effectiveness of the introduction of bCPAP oxygen therapy by comparing pneumonia mortality in the post‐trial period (August 2013 to December 2017) with the pre‐trial (February 2009 to July 2011) and trial periods (August 2011 to July 2013).MethodsIt was a retrospective analysis of prospectively collected hospital data of all admissions. Mortality rates of all children with WHO‐defined pneumonia, and the subset of children with severe pneumonia and hypoxemia (oxygen saturation <90%) were evaluated.ResultsThe analysis covered 10,107 children with pneumonia: 2523 in the pre‐trial (414 with severe pneumonia and hypoxemia; none of them received bCPAP), 2959 during the trial (376 with severe pneumonia and hypoxemia; 79 received bCPAP), and 4625 in the post‐trial period (1208 with severe pneumonia and hypoxemia; 1125 had bCPAP). The risk of death from pneumonia in the post‐trial period was lower than in pre‐trial (adjusted risk ratio [RR] = 0.73, 95% confidence interval [CI] = 0.58–0.92; p = 0.007), among children with severe pneumonia and hypoxemia, the risk of death was lower in the post‐trial period than in the pre‐trial (adjusted RR = 0.46, 95% CI = 0.37‐0.58, p < 0.001), and the trial period (adjusted RR = 0.70, 95% CI = 0.51–0.95; p = 0.023).ConclusionAfter the introduction of bCPAP oxygen therapy as part of the routine management of severe pneumonia and hypoxemia in the ICU of the Dhaka hospital, we observed significantly lower mortality, even after accounting for measurable confounding.
A case of attempted transbronchial spigot insertion for fistulous pyothorax in the residual pleural airspace after pleurectomy/decortication for malignant pleural mesothelioma
Authors: Miyata Ryo , Morizono Shoichiro , Umehara Tadashi , Harada‐Takeda Aya , Kamimura Go , Aoki Masaya , Nagata Toshiyuki , Ueda Kazuhiro 
Published: January 2024

AbstractPleurectomy/decortication for malignant pleural mesothelioma is a relatively recent surgical approach for which there is a dearth of information on complications, especially in the late postoperative period. A 70‐year‐old man was diagnosed with right epithelioid malignant pleural mesothelioma and underwent pleurectomy/decortication. Computed tomography at 6 months after surgery revealed nodules on the surface of the right lung. These nodules gradually increased in size and were diagnosed as recurrent disease. Immunotherapy was started, but treatment was discontinued a few days after the first course due to pneumonitis. Subsequent oral prednisolone therapy for about 2 months ameliorated pneumonitis, but fistulous pyothorax developed. During attempted transbronchial occlusion of the responsible bronchus, some spigots penetrated the empyema cavity. Open window thoracotomy was performed on the following day. This case suggests that if there is no change in diameter between the proximal and distal parts of the responsible bronchus, transbronchial occlusion should not be chosen.
A hybrid observer for linear systems under delayed sporadic measurements
Authors: Guarro Marcello , Ferrante Francesco , Sanfelice Ricardo G. 
Published: January 2024

SummaryThis paper proposes a hybrid observer for state estimation over a network. The network provides delayed measurements of the output of the plant at time instants that are not necessarily periodic and are accompanied by timestamps provided by a clock that synchronizes with the clock of the observer in finite time. The proposed observer, along with the plant and communication network, are modeled by a hybrid dynamical system that has two timers, a logic variable, and two memory states to capture the mechanisms involved in the events associated with sampling and arrival of information, as well as the logic in the estimation algorithm. The hybrid model also includes a generic clock synchronization scheme to cope with a mismatch between the clocks at the plant and the observer. Convergence properties of the estimation error of the system are shown analytically and supported by numerical examples.
In Silico ADME/Tox Profiling of Mushroom Secondary Metabolites
Authors: Shakoor Bushra , Yaqoob Nazia , Shafiq Nusrat , Bin Jardan Yousef A. , Nafidi Hiba‐Allah , Bourhia Mohammed 
Published: January 2024

AbstractTraditional medicinal plant examination has increased in recent years since plants enable them to supplement current pharmaceutical treatments. In silico screening and pharmacokinetic screening, which employ computer mechanics, can increase the number of active compounds and reveal their mechanism of action. In silico ADME screening is less expensive, quicker, and more secure than in vivo ADME testing, which is lengthy, costly, and dangerous for animals. The SwissADME and protox‐II are free tools that offer free accessibility to various chemical attributes, after receiving the structures of the examined compounds in canonical SMILES format. A total of 50 viable compounds from mushrooms that had been previously described in the research were tested for ADME qualities and toxicity, and their outcomes were then analyzed. Future research will be aided by an understanding of a compound‘s ADME/T properties, and the findings will be helpful to scientists.
Liquid Metal Doping Induced Asymmetry in Two‐Dimensional Metal Oxides
Authors: Ghasemian Mohammad B. , Zavabeti Ali , Allioux Francois‐Marie , Sharma Pankaj , Mousavi Maedehsadat , Rahim Md. Arifur , Khayyam Nekouei Rasoul , Tang Jianbo , Christofferson Andrew J. , Meftahi Nastaran , Rafiezadeh Somayeh , Cheong Soshan , Koshy Pramod , Tilley Richard D. , McConville Chris F. , Russo Salvy P. , Ton‐That Cuong , Seidel Jan , Kalantar‐Zadeh Kourosh 
Published: January 2024

AbstractThe emergence of ferroelectricity in two‐dimensional (2D) metal oxides is a topic of significant technological interest; however, many 2D metal oxides lack intrinsic ferroelectric properties. Therefore, introducing asymmetry provides access to a broader range of 2D materials within the ferroelectric family. Here, the generation of asymmetry in 2D SnO by doping the material with Hf0.5Zr0.5O2 (HZO) is demonstrated. A liquid metal process as a doping strategy for the preparation of 2D HZO‐doped SnO with robust ferroelectric characteristics is implemented. This technology takes advantage of the selective interface enrichment of molten Sn with HZO crystallites. Molecular dynamics simulations indicate a strong tendency of Hf and Zr atoms to migrate toward the surface of liquid metal and embed themselves within the growing oxide layer in the form of HZO. Thus, the liquid metal‐based harvesting/doping technique is a feasible approach devised for producing novel 2D metal oxides with induced ferroelectric properties, represents a significant development for the prospects of random‐access memories.
How Digital Geographies Render Value: Geofences, the Blockchain, and the Possibilities of Slow Alternatives
Authors: Crampton Jeremy 
Published: January 2024

AbstractThis chapter proceeds in two parts. First, it situates the way that digital geographies render value by creating new markets for the creation, extraction, and capture of that value. Two digital geographies are highlighted: geofences/geoframing and cryptocurrencies on the blockchain. Drawing on the renewed interest in theorizing the digital urban growth machine, I analyze these new markets as forms of toxic innovation dominated by a focus on growth and extractive value. Second, I examine the possibilities for alternative responsible innovation that creates social value, which I call the Slow Data Economy. Inspired by the ethics of slowness, slow data centers accountability, the human-in-the-loop, local co-design, and vision making for the future city. By working with the possibilities of responsible innovation, I explore how the Slow Data Economy can be a form of “capital switching” in which investment is switched from a focus on growth and extraction to care and repair.