bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prognostic Mutational Signatures of NSCLC Patients treated with chemotherapy, immunotherapy and chemoimmunotherapy
Authors: Smith Margaret R. , Wang Yuezhu , D’Agostino Ralph , Liu Yin , Ruiz Jimmy , Lycan Thomas , Oliver George , Miller Lance D. , Topaloglu Umit , Pinkney Jireh , Abdulhaleem Mohammed N. , Chan Michael D. , Farris Michael , Su Jing , Mileham Kathryn F. , Xing Fei 
Published: March 2023

AbstractDifferent types of therapy are currently being used to treat non-small cell lung cancer (NSCLC) depending on the stage of tumor and the presence of potentially druggable mutations. However, few biomarkers are available to guide clinicians in selecting the most effective therapy for all patients with various genetic backgrounds. To examine whether patients’ mutation profiles are associated with the response to a specific treatment, we collected comprehensive clinical characteristics and sequencing data from 524 patients with stage III and IV NSCLC treated at Atrium Health Wake Forest Baptist. Overall survival based Cox-proportional hazard regression models were applied to identify mutations that were “beneficial” (HR < 1) or “detrimental” (HR > 1) for patients treated with chemotherapy (chemo), immune checkpoint inhibitor (ICI) and chemo+ICI combination therapy (Chemo+ICI) followed by the generation of mutation composite scores (MCS) for each treatment. We also found that MCS is highly treatment specific that MCS derived from one treatment group failed to predict the response in others. Receiver operating characteristics (ROC) analyses showed a superior predictive power of MCS compared to TMB and PD-L1 status for immune therapy-treated patients. Mutation interaction analysis also identified novel co-occurring and mutually exclusive mutations in each treatment group. Our work highlights how patients’ sequencing data facilitates the clinical selection of optimized treatment strategies.
Effectiveness of artificial intelligence screening in preventing vision loss from diabetes: a policy model
Authors: Channa Roomasa , Wolf Risa M. , Abràmoff Michael D. , Lehmann Harold P. 
Published: March 2023

AbstractThe effectiveness of using artificial intelligence (AI) systems to perform diabetic retinal exams (‘screening’) on preventing vision loss is not known. We designed the Care Process for Preventing Vision Loss from Diabetes (CAREVL), as a Markov model to compare the effectiveness of point-of-care autonomous AI-based screening with in-office clinical exam by an eye care provider (ECP), on preventing vision loss among patients with diabetes. The estimated incidence of vision loss at 5 years was 1535 per 100,000 in the AI-screened group compared to 1625 per 100,000 in the ECP group, leading to a modelled risk difference of 90 per 100,000. The base-case CAREVL model estimated that an autonomous AI-based screening strategy would result in 27,000 fewer Americans with vision loss at 5 years compared with ECP. Vision loss at 5 years remained lower in the AI-screened group compared to the ECP group, in a wide range of parameters including optimistic estimates biased toward ECP. Real-world modifiable factors associated with processes of care could further increase its effectiveness. Of these factors, increased adherence with treatment was estimated to have the greatest impact.
Holistic yield modeling, top-down loss analysis, and efficiency potential study of thin-film solar modules
Authors: Zinßer Mario , Helder Tim , Magorian Friedlmeier Theresa , Bauer Andreas , Kirchartz Thomas , Rau Uwe , Wächter Rolf , Powalla Michael 
Published: March 2023

AbstractA holistic simulation of a photovoltaic system requires multiple physical levels - the optoelectronic behavior of the semiconductor devices, the conduction of the generated current, and the actual operating conditions, which rarely correspond to the standard testing conditions (STC) employed in product qualification. We present a holistic simulation approach for all thin-film photovoltaic module technologies that includes a transfer-matrix method, a drift-diffusion model to account for the p-n junction, and a quasi-three-dimensional finite-element Poisson solver to consider electrical transport. The evolved digital model enables bidirectional calculation from material parameters to non-STC energy yield and vice versa, as well as accurate predictions of module behavior, time-dependent top-down loss analyses and bottom-up sensitivity analyses. Simple input data like current-voltage curves and material parameters of semiconducting and transport layers enables fitting of otherwise less-defined values. The simulation is valuable for effective optimizations, but also for revealing values for difficult-to-measure parameters.
Apoptosis-induced nuclear expulsion in tumor cells drives S100a4-mediated metastatic outgrowth through the RAGE pathway
Authors: Park Woo-Yong , Gray Justin M. , Holewinski Ronald J. , Andresson Thorkell , So Jae Young , Carmona-Rivera Carmelo , Hollander M. Christine , Yang Howard H. , Lee Maxwell , Kaplan Mariana J. , Cappell Steven D. , Yang Li 
Published: March 2023

AbstractMost tumor cells undergo apoptosis in circulation and at the metastatic organ sites due to host immune surveillance and a hostile microenvironment. It remains to be elucidated whether dying tumor cells have a direct effect on live tumor cells during the metastatic process and what the underlying mechanisms are. Here we report that apoptotic cancer cells enhance the metastatic outgrowth of surviving cells through Padi4-mediated nuclear expulsion. Tumor cell nuclear expulsion results in an extracellular DNA–protein complex that is enriched with receptor for advanced glycation endproducts (RAGE) ligands. The chromatin-bound RAGE ligand S100a4 activates RAGE receptors in neighboring surviving tumor cells, leading to Erk activation. In addition, we identified nuclear expulsion products in human patients with breast, bladder and lung cancer and a nuclear expulsion signature correlated with poor prognosis. Collectively, our study demonstrates how apoptotic cell death can enhance the metastatic outgrowth of neighboring live tumor cells.
RETRACTED: Machine learning based load prediction in smart‐grid under different contract scenario
Authors: Yadav Piyush Kumar , Bhasker Rajnish , Stonier Albert Alexander , Peter Geno , Vijayakumar Arun , Ganji Vivekananda 
Published: March 2023

AbstractMany progressed information scientific strategies, particularly Artificial Intelligence (AI) and profound learning methods, have been proposed and tracked down wide applications in our general public. This proposition creates information driven arrangements by utilizing the most recent profound learning and AI innovation, including outfit learning, meta‐learning and move learning, for energy the executives framework issues. Genuine world datasets are tried on proposed models contrasted and best in class plans, which exhibit the predominant presentation of the proposed model. In this proposition, the engineering of the Smart Grid testbed is additionally planned and created by using ML calculations and true remote correspondence frameworks to such an extent that constant plan necessities of Smart Grid testbed is met by this reconfigurable system with stacking of full convention in medium access control (MAC) and physical layers (PHY). The proposed engineering has the reconfiguration property in view of the organization of remote correspondence and trend setting innovations of Information and communication technologies (ICT) which incorporates Artificial Intelligence (AI) calculation. The fundamental plan objectives of the Smart Grid testbed is to make it simple to construct, reconfigure and scale to address the framework level prerequisites and to address the ongoing necessities.
Modal parameter calculation and vibration characteristic analysis of transmission line conductor
Authors: Huang Xinbo , Lu Xudong , Zhao Long , Feng Guoze 
Published: March 2023

AbstractStructural damage identification technology based on modal parameters is an extremely effective monitoring method. Because of the structural characteristics of the conductor, with its small diameter and long span, it is not easy to obtain the modal parameters by manual excitation. Here, a method for structural health monitoring of the conductor under wind load excitation is proposed. Firstly, the natural frequency change law of the conductor after broken strand damage is obtained by analyzing the conductor modal parameters calculation formula and IEEE standards. Then, the vibration characteristics are calculated by vibration experiments and finite element methods. Finally, through the broken strand experiment, this paper demonstrates how to determine the damage degree of the conductor using the modal parameters. And it is applied to online monitoring in the field. The results show that this method is convenient, fast, and accurate.
Role of transduodenal endoscopic ultrasound-guided fine-needle aspiration/biopsy (EUS-FNA/FNB) for diagnosis of retroperitoneal fibrosis (Ormond’s disease)
Authors: Wiedbrauck Damian , Flemming Peer , Hollerbach Stephan 
Published: March 2023

Abstract
Background Retroperitoneal fibrosis (RPF), often referred to as Ormond’s disease when it is of idiopathic origin, is a rare disease characterized by the presence of inflammatory infiltrates and periaortic masses in the retroperitoneum. For a definite diagnosis, a biopsy and subsequent pathological examination is required. Currently accepted methods for retroperitoneal biopsy include open, laparoscopic, or CT-guided approaches. However, transduodenal endoscopic ultrasound-guided fine-needle aspiration/biopsy (EUS-FNA/FNB) for diagnosis of RPF has attracted only little attention in the literature.
Case Reports We report two male patient cases who presented with leukocytosis, elevated C-reactive protein, and a suspicious retroperitoneal mass of unknown origin on computed tomography. One patient also reported left lower quadrant pain, whereas the other patient suffered from back pain and weight loss. In both patients, idiopathic RPF was successfully diagnosed by using transduodenal EUS-FNA/FNB with 22- and 20-gauge aspiration needles. Histopathology revealed dense lymphocytic infiltrates and fibrosis. The procedures lasted approximately 25 and 20 minutes, respectively, and in both patients no serious adverse events occurred. Treatment included steroid therapy and administration of Azathioprine.
Conclusion We demonstrate that using EUS-FNA/FNB to diagnose RPF is a feasible, fast, and safe method, which should always be considered as a first-line diagnostic modality. Hence, this case report emphasizes that gastrointestinal endoscopists are likely to play an important role in the setting of suspected RPF.
Resting-State Functional MRI/PET Profile as a Potential Alternative to Tri-Modality EEG-MR/PET Imaging: An Exploratory Study in Drug-Refractory Epilepsy
Authors: Mangalore Sandhya , Peer Sameer , Khokhar Sunil Kumar , Bharath Rose Dawn , Kulanthaivelu Karthik , Saini Jitender , Sinha Sanjib , Kishore Vyasaraj Kalya , Mundlamuri Ravindranadh Chowdary , Asranna Ajay , Lakshminarayanapuram Gopal Vishwanath , Kenchaiah Raghavendra , Arimappamagan Arivazhagan , Sadashiva Nishanth , Rao Malla Bhaskara , Mahadevan Anita , Rajeswaran Jamuna , Kumar Keshav , Thennarasu Kandavel 
Published: March 2023

Abstract
Objective The study explores whether the epileptic networks associate with predetermined seizure onset zone (SOZ) identified from other modalities such as electroencephalogram/video electroencephalogram/structural MRI (EEG/VEEG/sMRI) and with the degree of resting-state functional MRI/positron emission tomography (RS-fMRI/PET) coupling. Here, we have analyzed the subgroup of patients who reported having a seizure on the day of scan as postictal cases and compared the findings with interictal cases (seizure-free interval).
Methods We performed independent component analysis (ICA) on RS-fMRI and 20 ICA were hand-labeled as large scale, noise, downstream, and epilepsy networks (Epinets) based on their profile in spatial, time series, and power spectrum domains. We had a total of 43 cases, with 4 cases in the postictal group (100%). Of 39 cases, 14 cases did not yield any Epinet and 25 cases (61%) were analyzed for the final study. The analysis was done patient-wise and correlated with predetermined SOZ.
Results The yield of finding Epinets on RS-fMRI is more during the postictal period than in the interictal period, although PET and RS-fMRI spatial, time series, and power spectral patterns were similar in both these subgroups. Overlaps between large-scale and downstream networks were noted, indicating that epilepsy propagation can involve large-scale cognition networks. Lateralization to SOZ was noted as blood oxygen level–dependent activation and correlated with sMRI/PET findings. Postoperative surgical failure cases showed residual Epinet profile.
Conclusion RS-fMRI may be a viable option for trimodality imaging to obtain simultaneous physiological information at the functional network and metabolic level.
Gingko Leaf Sign: A Classical Imaging Finding in Spinal Meningiomas
Authors: Krishnan Prasad 
Published: March 2023

AbstractThe common imaging features surgeons use to distinguish spinal meningiomas from spinal nerve sheath tumors on magnetic resonance (MR) scans include the presence of the “dural tail sign” on contrast-enhanced MR images, hypointensity of the lesion on T2 sequences, presence of calcifications, lack of extraspinal dumbbell extension, and the lack of cystic changes in the lesion. We highlight the rarely described finding–the “Gingko-Leaf” sign that is caused by the stretched denticulate ligament as it extends laterally, through the tumor, from the compressed spinal cord.
Enteral Access: A Review of Technique, Complications, and Management Strategies
Authors: HonShideler Curtis , Manzar Bushra , Bader Mohammad 
Published: March 2023

AbstractPercutaneous enteral access for nutritional support may be required for a wide host of comorbid conditions, including processes such as obstructive head and neck tumors, esophageal tumors, neurologic/neuromuscular disorders such as amyotrophic lateral sclerosis, multiple sclerosis, or stroke, chronic gastric outlet obstruction, small bowel obstruction, and motility disorders. Given this demand, it is important for providers to be aware of the complications associated with percutaneous radiologic enteral access and how to manage them. We herein provide a brief overview of complications related to enteral access, including anatomic, technical, preventative, and management considerations.
Traversing Their Path to the Peripheral Smear: The Journey of Traumatized Red Blood Cells
Authors: Mannem Chethana , Saher Tuba , Ramdas Gayathri Bilagali 
Published: March 2023

Abstract
Background Thrombotic microangiopathy encompasses a wide range of conditions, of which thrombotic thrombocytopenic purpura being a medical emergency requires prompt intervention, with schistocytes being a reliable morphological indicator of microvascular injury. However, there are conditions other than thrombotic microangiopathic anemia where schistocytes can be seen in large numbers. These nonthrombotic microangiopathic conditions are broadly grouped under cytoskeletal abnormalities, mechanical damage, and thermal injuries. Automated methods in schistocyte evaluation have shown varied reproducibility requiring manual identification. International Council for Standardization in Hematology (ICSH) recommends standardized morphological criteria and quantitative assessment as a percentage after counting at least 1,000 red blood cells in optimal areas of smear to reduce interobserver variability.
Objectives The aim of this study was to evaluate and quantitate schistocytes in thrombotic microangiopathic and nonthrombotic microangiopathic groups using ICSH guidelines and to evaluate interobserver reproducibility of manual schistocyte count.
Materials and Methods Overall, 157 peripheral blood smears showing schistocytes were studied by two independent observers using ICSH recommendations on light microscopy. The hematological findings were correlated with clinical diagnosis and other relevant investigations.
Results Schistocytes were observed in five cases of thrombotic microangiopathic anemia and 152 cases of nonthrombotic microangiopathic anemia. Schistocyte count in thrombotic microangiopathic anemia and nonthrombotic microangiopathic anemia groups with mean (±standard deviation) value was 2.28 ± 2.65% and 0.76 ± 0.67%, respectively (p < 0.001). The correlation coefficient between the two observers was 0.59 (confidence interval = 0.966–1.346) showing an excellent agreement on the reproducibility of schistocytes by application of ICSH guidelines.
Conclusion Percentage of schistocytes more than 1% is a robust morphological indicator for diagnosis of thrombotic microangiopathic anemia in adults. Strict application of ICSH guidelines reduces interobserver bias.
Quantitative reconstitution of yeast RNA processing bodies
Authors: Currie Simon L. , Xing Wenmin , Muhlrad Denise , Decker Carolyn J. , Parker Roy , Rosen Michael K. 
Published: March 2023

Many biomolecular condensates appear to form through liquid–liquid phase separation (LLPS). Individual condensate components can often undergo LLPS in vitro, capturing some features of the native structures. However, natural condensates contain dozens of components with different concentrations, dynamics, and contributions to compartment formation. Most biochemical reconstitutions of condensates have not benefited from quantitative knowledge of these cellular features nor attempted to capture natural complexity. Here, we build on prior quantitative cellular studies to reconstitute yeast RNA processing bodies (P bodies) from purified components. Individually, five of the seven highly concentrated P-body proteins form homotypic condensates at cellular protein and salt concentrations, using both structured domains and intrinsically disordered regions. Combining the seven proteins together at their cellular concentrations with RNA yields phase-separated droplets with partition coefficients and dynamics of most proteins in reasonable agreement with cellular values. RNA delays the maturation of proteins within and promotes the reversibility of, P bodies. Our ability to quantitatively recapitulate the composition and dynamics of a condensate from its most concentrated components suggests that simple interactions between these components carry much of the information that defines the physical properties of the cellular structure.
Top-down and bottom-up approaches to teaching English verb-particle constructions
Authors: Sung Min-Chang 
Published: March 2023

Abstract
The present study examines two cognitive linguistics approaches to foreign language teaching. One draws on the
conventionality of language use that a variety of expressions can be understood as instances of more general patterns, e.g.,
kick them out and eat it up as verb-object-particle, whereas the other centers on linguistic
creativeness such as novel combinations or associations, e.g., chest down the ball. Noting that English
verb-particle constructions (VPCs) exemplify both linguistic conventionality and creativeness, two types of instruction have been
developed–namely, top-down instruction and bottom-up instruction. The top-down instruction presents VPCs as instances of
conventional argument structures such as motion and resultative constructions (Goldberg,
2015), whereas the bottom-up instruction focuses on creative compositions of literal and metaphorical meanings (Lakoff & Johnson, 1980). The two types of instruction were provided for Korean EFL
learners, and their knowledge of VPCs was measured by a pretest, an immediate posttest, and a four-week delayed posttest. Results
of the immediate posttest showed that both types of instruction were effective in improving the learners’ knowledge of literal and
figurative VPCs. In the delayed posttest, significantly greater retention was observed for the construction-based top-down
instruction. This finding highlights the importance of argument structures as super-constructions in teaching VPCs to EFL
learners.
Automatic and high-accuracy matching method for a blade inspection system integrating fringe projection profilometry and conoscopic holography
Authors: Guo Yanyan , He Wantao , Zhong Kai , Zhuang Chungang , Chen Tao , Zhang Hongjun 
Published: March 2023

Abstract
The geometric dimensions and tolerances of blades, which are critical parts of turbomachinery with complex features, must be strictly controlled to ensure the efficiency and safety of the engine. Optical-based inspection systems for blades are increasingly receiving attention because of their high efficiency and flexibility. However, as a key issue in blade inspection, the matching of the part coordinate system and machine coordinate system directly determines the measurement accuracy and automation. The blade surface is complex and has no obvious features, and accurate and rapid matching thus remains a challenging problem to solve. To overcome these problems and realize the accurate inspection of blade profiles, an automatic and high-accuracy matching method for a blade measurement system integrating fringe projection profilometry (FPP) and conoscopic holography (CH) is proposed in this paper. First, automatic rough matching is realized making use of the ability of FPP to quickly obtain high-resolution cloud of points and improving the four-point congruent sets algorithm. The path of the CH measurement based on the calibration and rough matching result is then planned, to sample high-precision and uniform cloud-of-points data on the blade surface. Finally, a fine matching optimization algorithm is implemented with the signal-to-noise ratio as the weight. The results of simulation experiments and inspection case studies demonstrate that the proposed matching method is efficient and accurate.
Magnetron sputtering onto nonionic surfactant for 1-step preparation of metal nanoparticles without additional chemical reagents
Authors: Sergievskaya Anastasiya , Alem Halima , Konstantinidis Stephanos 
Published: March 2023

Abstract
Plasma-based sputtering onto liquids (SoL) is a straightforward approach for synthesizing small metal nanoparticles (NPs) without additional stabilizing reagents. In this work, nonionic surfactant Triton X-100 was used for the first time as a host liquid for the SoL process and the production of colloidal solutions of gold, silver and copper NPs was demonstrated. The average diameter of spherical Au NPs lies in the range from 2.6 to 5.5 nm depending on the conditions. The approach presented here opens the pathway to the production of concentrated dispersions of metal NPs of high purity that can be dispersed in water for future usage, therefore extending further the reach of this synthesis pathway.