bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prognostic communication about lung cancer in the precision oncology era: A multiple‐perspective qualitative study
Authors: Petrillo Laura A. , Shimer Sophia E. , Zhou Ashley Z. , Sommer Robert K. , Feldman Jill E. , Hsu Kelly E. , Greer Joseph A. , Traeger Lara N. , Temel Jennifer S. 
Published: June 2022

BackgroundAlthough most patients with cancer prefer to know their prognosis, prognostic communication between oncologists and patients is often insufficient. Targeted therapies for lung cancer improve survival yet are not curative and produce variable responses. This study sought to describe how oncologists communicate about prognosis with patients receiving targeted therapies for lung cancer.MethodsThis qualitative study included 39 patients with advanced lung cancer with targetable mutations, 14 caregivers, and 10 oncologists. Semistructured interviews with patients and caregivers and focus groups or interviews with oncologists were conducted to explore their experiences with prognostic communication. One oncology follow‐up visit was audio‐recorded per patient. A framework approach was used to analyze interview transcripts, and a content analysis of patient–oncologist dialogue was conducted. Themes were identified within each source and then integrated across sources to create a multidimensional description of prognostic communication.ResultsSix themes in prognostic communication were identified: Patients with targetable mutations develop a distinct identity in the lung cancer community that affects their information‐seeking and self‐advocacy; oncologists set high expectations for targeted therapy; the uncertain availability of new therapies complicates prognostic discussions; patients and caregivers have variable information preferences; patients raise questions about progression by asking about physical symptoms or scan results; and patients' expectations of targeted therapy influence their medical decision‐making.ConclusionsOptimistic patient–oncologist communication shapes the expectations of patients receiving targeted therapy for lung cancer and affects their decision‐making. Further research and clinical guidance are needed to help oncologists to communicate uncertain outcomes effectively.
An intelligence model for detection of PCOS based on k‐means coupled with LS‐SVM
Authors: Faris Najlaa Nsrulaah , Miften Firsas Saber 
Published: June 2022

SummaryPolycystic ovary syndrome (PCOS) is a hormonal disorder that affects women at an early age. Manual detection of PCOS is a challenging task for specialists, however, detection of PCOS as quick and accurate could save the lives of millions of women over the world. Current studies use high dimension features which leads to a low estimation accuracy, and high execution time. However, in this article, we develop a new intelligence system to classify PCOS based on k‐means coupled with a LS‐SVM (K‐M‐SVM) using a lower number of features. The original dataset is preprocessed and then k‐means is applied to select the most powerful features based on Euclidean distance to classify PCOS. It was found that the k‐means cluster had a high potential in selection the most influential features and eliminating the poor ones. As a result, a total of six features are chosen to represent PCOS data from the original features. The selected feature set are fed to the LS‐SVM to classify them into healthy and no healthy segments. Our findings showed that the proposed model (K‐M‐SVM) outperformed the state of the art, and it gained an accuracy of 99%.
Mechanistic Differences between Electrochemical Hydrogenation and Hydrogenolysis of 5‐Hydroxymethylfurfural and Their pH Dependence
Authors: Yuan Xin , Lee Kwanpyung , Bender Michael T. , Schmidt J. R. , Choi Kyoung‐Shin 
Published: June 2022

AbstractHydrogenation and hydrogenolysis are two important reactions for electrochemical reductive valorization of biomass‐derived oxygenates such as 5‐hydroxymethylfurfural (HMF). In general, hydrogenolysis (which combines hydrogenation and deoxygenation) is more challenging than hydrogenation (which does not involve the cleavage of carbon–oxygen bonds). Thus, identifying factors and conditions that can promote hydrogenolysis is of great interest for reductive valorization of biomass‐derived oxygenates. For the electrochemical reduction of HMF and its derivatives, it is known that aldehyde hydrogenation is not a part of aldehyde hydrogenolysis but rather a competing reaction; however, no atomic‐level understanding is currently available to explain their electrochemical mechanistic differences. In this study, combined experimental and computational investigations were performed using Cu electrodes to elucidate the key mechanistic differences between electrochemical hydrogenation and hydrogenolysis of HMF. The results revealed that hydrogenation and hydrogenolysis of HMF involve the formation of different surface‐adsorbed intermediates via different reduction mechanisms and that lowering the pH promoted the formation of the intermediates required for aldehyde and alcohol hydrogenolysis. This study for the first time explains the origins of the experimentally observed pH‐dependent selectivities for hydrogenation and hydrogenolysis and offers a new mechanistic foundation upon which rational strategies to control electrochemical hydrogenation and hydrogenolysis can be developed.
Immunogenic cell death‐inducing small molecule inhibitors: Potential for immunotherapy of cancer
Authors: Guo Zong Sheng , Kalinski Pawel , Chen Hongqi , Zhu Zhi 
Published: June 2022

AbstractSmall molecule inhibitors (SMIs) of key signalling pathways are known to induce multiple types of regulated cell death, including immunogenic cell death (ICD). The resulting antitumor immunity helps to overcome the resistance of cancer cells to cell death, resulting in improved cancer therapy. SMIs, especially those inducing multimodal cell death and ICD, can be critical components in rational combinations for cancer immunotherapy.
Internet of Things data management: A systematic literature review, vision, and future trends
Authors: Shirvanian Naser , Shams Maryam , Rahmani Amir Masoud 
Published: June 2022

SummaryThe Internet of Things (IoT) is expected to connect devices with unique identifiers over a network to create an equilibrium system with high speeds and volumes of data while presenting an interoperability challenge. The IoT data management system is indispensable for attaining effective and efficient performance because IoT sensors generate and collect large amounts of data used to express large data sets. IoT data management has been analyzed from various perspectives in numerous studies. In this study, a Systematic Literature Review (SLR) method was used to investigate the various topics and key areas that have recently emerged in IoT data management. This study aims to classify and evaluate studies published between 2015 and 2021 in IoT data management. Therefore, the classification of studies includes five categories, data processing, data smartness application, data collection, data security, and data storage. Then, studies in each field are compared based on the proposed classification. Each study investigates novel findings, simulation/implementation, data set, application domain, experimental results, advantages, and disadvantages. In addition, the criteria for evaluating selected articles for each domain of IoT data management are examined. Big data accounts for the highest percentage of data processing fields in IoT data management, at 34%. In addition, fast data processing, distributed data, artificial intelligence data with 22%, and data uncertainty analysis account for 11% of the data processing field. Finally, studies highlight the challenges of IoT data management and its future directions.
Trapping and releasing of single microparticles and cells in a microfluidic chip
Authors: Lv Dan , Zhang Xiaoling , Xu Mengli , Cao Wenyue , Liu Xing , Deng Jinan , Yang Jun , Hu Ning 
Published: June 2022

AbstractA microfluidic device was designed and fabricated to capture single microparticles and cells by using hydrodynamic force and selectively release the microparticles and cells of interest via negative dielectrophoresis by activating selected individual microelectrodes. The trap microstructure was optimized based on numerical simulation of the electric field as well as the flow field. The capture and selective release functions of the device were verified by multi‐types microparticles with different diameters and K562 cells. The capture efficiencies/release efficiencies were 95.55% ± 0.43%/96.41% ± 1.08% and 91.34% ± 0.01%/93.67% ± 0.36% for microparticles and cells, respectively. By including more traps and microelectrodes, the device can achieve high throughput and realize the visual separation of microparticles/cells of interest in a large number of particle/cell groups.
Transformer‐based time series prediction of the maximum power point for solar photovoltaic cells
Authors: Agrawal Palaash , Bansal Hari Om , Gautam Aditya R. , Mahela Om Prakash , Khan Baseem 
Published: June 2022

AbstractThis paper proposes an improved deep learning‐based maximum power point tracking (MPPT) in solar photovoltaic cells considering various time series‐based environmental inputs. Generally, artificial neural network‐based MPPT algorithms use basic neural network architectures and inputs which do not represent the ambient conditions in a comprehensive manner. In this article, the ambient conditions of a location are represented through a comprehensive set of environmental features. Furthermore, the inclusion of time‐based features in the input data is considered to model cyclic patterns temporally within the atmospheric conditions leading to robust modeling of the MPPT algorithm. A transformer‐based deep learning architecture is trained as a time series prediction model using multidimensional time series input features. The model is trained on a dataset containing typical meteorological‐year data points of ambient weather conditions from 50 locations. The attention mechanism in the transformer modules allows the model to learn temporal patterns in the data efficiently. The proposed model achieves a 0.47% mean average percentage error of prediction on non‐zero operating voltage points in a test dataset consisting of data collected over a period of 200 consecutive hours; resulting in the average power efficiency of 99.54% and peak power efficiency of 99.98%. The proposed model is validated through real‐time simulations. The proposed model performs power point tracking in a robust, dynamic, and nonlatent manner, over a wide range of atmospheric conditions.
Analysis of damage characteristics of fine and medium‐fine cracked sandstones under a complex stress path
Authors: Hu Huarui , Xia Binwei , Li Yang , Luo Yafei , Peng Jiajun 
Published: June 2022

AbstractIn underground engineering such as mining and tunnel excavation, the rock mass is often subjected to repeated loading and unloading stress environments. Herein, true triaxial cyclic loading and unloading tests are carried out on fine sandstone and medium‐fine sandstone specimens with cracks of different angles. The test results show that the mechanical properties of fine sandstone and medium‐fine sandstone samples show obvious differences, and the crack angle has a significant effect on the mechanical properties of the sandstone specimen. During the experimentation, the expansion phenomenon of medium‐fine sandstone is more obvious than that of fine sandstone, and its brittleness is also weaker. The damage law of the sample has nothing to do with the type of sandstone. The damage caused by the stress in the σ1 direction varies linearly with the cumulative damage of the specimen, however, the damage caused by the directions of σ2 and σ3 grow nonlinearly in terms of the cumulative damage of the specimen. The hysteretic loop dissipated energy of the same type of sandstone specimens at different angles are dissimilar, and the dissipated energy increases with the increase of the crack angle. Based on the equivalent irreversible strain and the hysteretic loop dissipated energy, the damage law of the rock strength is analyzed. The obtained results reveal that the index based on the equivalent irreversible strain is helpful in exploring the damage degree of rock in the initial stage of cyclic loading and unloading. Furthermore, the damage index established based on the energy dissipation concept is beneficial to predicting the damage and failure law of rock in the advanced stage of loading.
Assessment of the Potential Ecotoxicological Effects of Pharmaceuticals in the World's Rivers
Authors: Bouzas-Monroy Alejandra , Wilkinson John L. , Melling Molly , Boxall Alistair B. A. 
Published: June 2022

Abstract
During their production, use, and disposal, active pharmaceutical ingredients (APIs) are released into aquatic systems. Because they are biologically active molecules, APIs have the potential to adversely affect nontarget organisms. We used the results of a global monitoring study of 61 APIs alongside available ecotoxicological and pharmacological data to assess the potential ecotoxicological effects of APIs in rivers across the world. Approximately 43.5% (461 sites) of the 1052 sampling locations monitored across 104 countries in a recent global study had concentrations of APIs of concern based on apical, nonapical, and mode of action–related endpoints. Approximately 34.1% of the 137 sampling campaigns had at least one location where concentrations were of ecotoxicological concern. Twenty-three APIs occurred at concentrations exceeding “safe” concentrations, including substances from the antidepressant, antimicrobial, antihistamine, β-blocker, anticonvulsant, antihyperglycemic, antimalarial, antifungal, calcium channel blocker, benzodiazepine, painkiller, progestin, and lifestyle compound classes. At the most polluted sites, effects are predicted on different trophic levels and on different endpoint types. Overall, the results show that API pollution is a global problem that is likely negatively affecting the health of the world's rivers. To meet the United Nations' Sustainable Development Goals, work is urgently needed to tackle the problem and bring concentrations down to an acceptable level. Environ Toxicol Chem 2022;41:2008–2020. © 2022 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
Particle‐resolved simulations of four‐way coupled, polydispersed, particle‐laden flows
Authors: Yao Yinuo , Biegert Edward , Vowinckel Bernhard , Köllner Thomas , Meiburg Eckart , Balachandar Sivaramakrishnan , Criddle Craig S. , Fringer Oliver B. 
Published: June 2022

AbstractWe present a collocated‐grid framework for direct numerical simulations of polydisperse particles submerged in a viscous fluid. The fluid‐particle forces are coupled with the immersed boundary method (IBM) while the particle‐particle forces are modeled with a combination of contact and lubrication models, adapted for collocated grids. Our method is modified from the staggered‐grid IBM of previous authors to a collocated‐grid IBM by adapting the fluid and particle solvers. The method scales well on high‐performance parallel computing platforms. It has been validated against various cases and is able to reproduce experimental results. Tuning parameters have been thoroughly calibrated to ensure the accuracy of the method. Finally, we demonstrate the capability of the method to simulate both monodispersed and bidispersed fluidized beds and reproduce the power law relationship between the inflow velocity and the porosity.
Functional and biomechanical assessment of the hand following ulnar forearm free flap transfer: Prospective self‐controlled study
Authors: Al‐Aroomi Maged Ali , Mashrah Mubarak Ahmed , Qi Zhongzheng , Sun Changfu , Duan Weiyi 
Published: June 2022

AbstractBackgroundThere is a shortage of well‐designed self‐controlled studies evaluating hand biomechanics following ulnar forearm flap (UFF) harvest. This study was conducted to evaluate objective and subjective functional outcomes of the donor's hand following UFF harvest.MethodsAll patients undergoing UFF were included for analysis. Grip strength, wrist movement, forearm supination and pronation, pinch strengths, sensation to light touch and temperature, and hand dexterity were assessed preoperatively and at 1, 3, and 6 months postoperatively. In addition, DASH score (disabilities of the arm, shoulder, and hand score) and Patient and Observer Scar Assessment Scale (POSAS) were analyzed.ResultsA total of 18 patients were enrolled. A significant reduction in grip strength for donor's hand was observed between preoperative and postoperative 1 and 3 months (mean difference = 14 kg, 7.38 kg, respectively, p = 0.000 for all). A similar trend was observed for pinch strength and range of motion (p < 0.05). Three months after surgery, there is still a significant reduction in tip pinch, tripod pinch, wrist extension, and supination. All biomechanics outcomes returned to preoperative baseline at 6 months after surgery. No patients suffered significant changes in sensation to light touch, temperature, and numbness by 6 months. There was a significant increase in DASH score by 3.37 points 6 months after operation (p = 0.000). The POSAS score indicates satisfaction with the appearance of the donor site.ConclusionsUFF is a safe and reliable option for oral cavity reconstruction with minimum donor site morbidities, mainly when cosmesis is paramount. Furthermore, objective hand biomechanics ultimately returns to its preoperative state within 6 months after surgery.
Evaluation of patient satisfaction with nursing services before and after implementation of the Health System Transformation Plan in Iran: A cross‐sectional study
Authors: Jannati Yadollah , Babajani Abolfazl , Kolaei Maedeh Ghasemi , Mohsenipouya Hossein , Mousavinasab Nouraddin , Gorji Mohammad A. H. , Mamun Mohammed A. 
Published: June 2022

AbstractBackground and AimsHow healthcare service delivery is achieved after implementing the Health System Transformation Plan (HSTP) is investigated in the present study by assessing the patients' satisfaction with nursing care services compared to before HSTP.MethodsThis cross‐sectional study was conducted in Iranian hospitals during two periods, that is, before (N = 300) and after (N = 279) HSTP, whereas the Patient Satisfaction Instrument was used to assess the satisfaction with nursing services.ResultsAbout 57.7% and 4.7% of the patients were dissatisfied with nursing care services, whereas 34% and 77.4% for moderate satisfaction, and 8.3% and 17.9% for total satisfaction, before and after HSTP, respectively. The mean score of overall satisfaction was 57.33 (±11.17) and 70.84 (±11.99) before and after HSTP, respectively (p < 0.001), which represents there is an improvement in healthcare services delivery after HSTP. Although none of the sociodemographic factors were significantly associated with satisfaction, higher satisfaction was found among the coronary care unit (CCU) hospitalized patients.ConclusionThe patients' overall satisfaction with nursing care services after HSTP was increased, although higher satisfaction was observed in the patients of special wards such as CCU. Therefore, using more care facilities and equipment and engaging more skilled nursing staff in other wards is highly recommended.
Voxelotor versus other therapeutic options for sickle cell disease: Are we still lagging behind in treating the disease?
Authors: Tayyaba Rehan Syeda , Hussain Hassan ul , Malik Farheen , Usama Rana Muhammad , Tahir Muhammad Junaid , Asghar Muhammad Sohaib 
Published: June 2022

AbstractBackgroundSickle cell disease (SCD) is one of the most prevalent hemoglobinopathies that affects around 275,000 neonates annually. Until 2017, hydroxyurea was the only available drug for SCD treatment. Later on, L‐glutamine and crizanlizumab have shown promising results in SCD therapy.ObjectivesThere were limited pharmacological options for the disease when in November, 2019, voxelotor was approved for the treatment of SCD patients after showing promising results in the clinical HOPE trial. Despite its favorable results, some life‐threatening side effects were also observed. Uncertainty regarding the use of available pharmaceutical therapies for SCD is the major hurdle for the survival of patients.Discussion & ConclusionAn immediate attention needs to be drawn towards the drawbacks of limited pharmacological options for SCD. Article calls out to conduct more extensive trials in this advanced era of medicine where ambiguity regarding the use of SCD drugs still prevails.
Metal replacement in the syntheses of MAMBMC heterometallic metal‐string complexes: MPdM'(dpa)4Cl2
Authors: Cheng Ming‐Chuan , Lee Gene‐Hsiang , Lin Tien‐Sung , Liu Yu‐Chiao , Chiang Ming‐Hsi , Chen Chun‐hsien , Peng Shie‐Ming 
Published: June 2022

AbstractDemonstrated herein is a synthetic strategy for MAMBMC‐type heteronuclear metal‐string complexes (HMSC) in which the terminal metals can be tailored via a displacement reaction based on the relative coordination strength. The stability ruler Ni > Co > (Fe; Mn) > Cd > Cu is derived in this study. Accordingly, MPdM'(dpa)4Cl2 (M ≠ M') can be obtained by the reaction of M' ion with MPdM(dpa)4Cl2 if the relative stability is M' > M. Six MAMBMC‐type HMSCs (2–7) with Pd at the central position are successfully synthesized. Unprecedented properties of metal strings, such as the structures, electrochemistry, and magnetism, are found. The static repulsion between terminal metals can dominate the metal–palladium distances. A shorter distance of Pd–M' at the opposite site can lengthen the Pd–M distance. The redox potentials of metal cores are influenced by this remote static repulsion. Besides, the nature of Cu with a weak spin‐exchange communication can induce the ferromagnetic coupling mediated by the central Pd in CuPdCo and CuPdNi HMSCs, and these are the first examples of ferromagnetism mediated by the central Pd metal among metal strings.
Characterization of giant neuroendocrine cells in the pregnant New Zealand white rabbit vagina demonstrated by histological, histochemical, and immunohistochemical methods
Authors: Mustafa Fatma El‐Zahraa A. 
Published: June 2022

AbstractThe vagina is part of the genitalia and constitutes part of the birth canal. Sperm is deposited into vagina, and it acts in transport of sperm. Pregnancy is a complex process involving different physiological changes in the body associated with hormonal and metabolic alterations that control maternal and fetal demands. During pregnancy, neuroendocrine cells in rabbit vagina are considered part of the diffuse neuroendocrine system observed throughout the body. Giant neuroendocrine cells in rabbit vagina during pregnancy have not been observed previously. This study detected the presence of giant neuroendocrine cells in the vagina of the pregnant rabbit. The presence of these cells was demonstrated with the use of different histological techniques, including hematoxylin and eosin, PAS, combined Alcian blue‐PAS, Crossmon's trichrome, and the Grimelius silver method. Giant neuroendocrine cells were observed in late‐pregnancy intraepithelial sites and on the lamina propria. These cells were characterized by vacuolated basophilic cytoplasm with PAS‐ and PAS‐AB‐positive granules. Moreover, neuroendocrine cells exhibited an argyrophilic character. Immunohistochemically, neuroendocrine cells in rabbit vagina during pregnancy demonstrated positive immunoreactivity to neuron‐specific enolase (NSE) with different intensities, mild immunoreactivity to the vascular endothelial growth factor (VEGF), and negative immunoreactivity to CD68.Highlights
Neuroendocrine cells on the vagina of the female rabbit during pregnancy are considered part of the diffuse neuroendocrine system.
Giant neuroendocrine cells on the vagina of the rabbit during pregnancy have not been observed previously.
Giant neuroendocrine cells were demonstrated intraepithelial and on the lamina propria.
Immunohistochemically, neuroendocrine cells demonstrated positive immunoreactivity to NSE and VEGF, and negative immunoreactivity to CD68.