bluuebunny/crossref_metadata_2025_split huggingface dataset:
Renal hydatid cyst mimicked cystic renal cell carcinoma: A case report
Authors: Wei Xiyi , Tian Jinyong , Diao Jianyu , Aibibula Gulinuer , Dawuti Maimaitijiang , Tuerxun Yiliyasi , Wubuli Mhtaer , Zhang Yujie , Song Ninghong , Yang Jie 
Published: June 2022

AbstractHydatid cyst (HC) is a zoonotic parasitic disease in agricultural and pastoral areas while renal involvement without liver and lung hydatid is both less common in clinical practice and rarely described in literature. We present a case of a 40‐year‐old male from Xinjiang who complained of flank pain in the right with oliguria. Robot‐assisted laparoscopic exploration, conversion to open laparotomy and excision of internal capsule in right kidney were performed. Finally, a typical renal HC was diagnosed after complementary examinations. Isolated renal HC is very rare and can be misinterpreted as a cystic renal cell carcinoma pre‐operatively.
An exceptional prostate cancer case: Importance of cancer screening
Authors: Basaran Elif , Kucukoztas Nadire , Aktepe Halit Oktay , Atak Tel Burcin , Aktas Gulali 
Published: June 2022

AbstractProstate cancer is a common type of malignancy in male population. It may present with various clinical findings including urinary retention. Here, we present a prostate cancer case in an elderly man who investigated for the origin of long‐term fever and weight loss. A 69‐year‐old man presented to our institution for a fever lasting more than a month. He had no other signs of infection. He lost about 15 kg within 3 months. Total prostate‐specific antigen (PSA) measurement in serum and prostate biopsy revealed advanced prostate cancer. His complaints diminished with prostate cancer treatment. In conclusion, we suggest that prostate cancer should be kept in mind in the differential diagnosis of fever and weight loss in men over 50 years of age whether he is symptomatic or not.
Potential anti‐Parkinsonian's effect of S‐(+)‐linalool from Cinnamomum osmophloeum ct. linalool leaves are associated with mitochondrial regulation via gas‐1, nuo‐1, and mev‐1 in Caenorhabditis elegans
Authors: Chang Chun‐Han , Chang Shang‐Tzen , Liao Vivian Hsiu‐Chuan 
Published: June 2022

AbstractParkinson's disease (PD) is one of the prevalent neurodegenerative diseases, and developing new treatments from natural products is of particular interest. Essential oils from Cinnamomum osmophloeum ct. linalool leaves contain high levels (~95%) of S‐(+)‐linalool. The neuroprotective effects of linalool have been previously described, yet the underlying molecular mechanisms remain largely unknown. This study aimed to investigate the potential anti‐Parkinsonian's effect of S‐(+)‐linalool on mitochondrial regulation and decipher the underlying molecular mechanisms in Caenorhabditis elegans PD model. Essential oils at 20 mg/L and 20 mg/L S‐(+)‐linalool each significantly attenuated the damaging effects of 6‐hydroxydopamine (6‐OHDA) on dopaminergic (DA) neurons and decreased the mitochondrial unfolded protein response (UPRmt) to antimycin. RNAi knockdown of mitochondrial complex I (gas‐1, nuo‐1), and complex II (mev‐1) genes prevented the improvement of mitochondrial activity by S‐(+)‐linalool. The protective effects of S‐(+)‐linalool on 6‐OHDA‐induced behavior changes were absent in a DA‐specific strain of C. elegans produced by gas‐1, nuo‐1, and mev‐1 RNAi knockdown. These results suggest the potential anti‐Parkinsonian's effect of S‐(+)‐linalool is associated with mitochondrial activity and regulated by gas‐1, nuo‐1, and mev‐1 in C. elegans. Our findings suggest that S‐(+)‐linalool might be a promising candidate for therapeutic application to inhibit the progression of PD.
Observer‐based distributed fault‐tolerant containment control for stochastic nonlinear multi‐agent systems with asymmetric hysteretic quantization
Authors: Wu Ying , Pan Yingnan , Liang Hongjing 
Published: June 2022

AbstractThis article investigates the distributed containment control problem for high‐order stochastic nonstrict‐feedback nonlinear multi‐agent systems. To overcome the difficulty of unknown control input gain caused by the asymmetric hysteretic quantization and actuator fault, the properties of Nussbaum function are employed and an auxiliary virtual controller is designed, which does not need to estimate the bounds of the parameters of asymmetric hysteretic quantizer and efficiency factors. Moreover, the unknown terms are estimated by introducing the radial basis function neural networks. Based on the input‐driven filter, an adaptive containment control scheme is designed by using the Nussbaum function technique, the backstepping approach, and the dynamic surface control method. It is shown that the proposed control method can guarantee that all the signals are semi‐globally uniformly ultimately bounded, and the containment control performance can be achieved. Finally, some simulation results are presented to illustrate the effectiveness of the proposed approach.
Sweetening Lithium Metal Interface by High Surface and Adhesive Energy Coating of Crystalline α‐d‐Glucose Film to Inhibit Dendrite Growth
Authors: Abbas Syed Ali , Chen Hsin‐An , Mohapatra Anisha , Singh Anupriya , Li Shenghan , Pao Chun‐Wei , Chu Chih Wei 
Published: June 2022

AbstractThe notorious growth of lithium (Li) dendrites and the instability of the solid electrolyte interface (SEI) during cycling make Li metal anodes unsuitable for use in commercial Li‐ion batteries. Herein, the use of simple sugar coating (α‐d‐glucose) is demonstrated on top of Li metal to halt the growth of Li dendrites and stabilize the SEI. The α‐d‐glucose layer possesses high surface and adhesive energies toward Li, which promote the homogenous stripping and plating of Li ions on top of the Li metal. Density functional theory reveals that Li‐ion diffusion within the α‐d‐glucose layer is governed by hopping around the bare sides of the O atoms and along the apparent passages formed by the glucose molecules. Stable cycling performance is achieved when combining α‐d‐glucose–coated Li (G|Li) anodes with sulfur‐ and LiFePO4‐based cathodes in both LiTFSI (ether) and LiPF6 (carbonate) electrolyte systems. A G|Li–based symmetrical cell operates at a current density of 1 mA cm−2 and areal capacity of 1 mAh cm−2 displays a stable overpotential profile for over 9 months (7000 h) of continuous charge/discharge cycling.
A Mechanically Flexible Necklace‐Like Architecture for Achieving Fast Charging and High Capacity in Advanced Lithium‐Ion Capacitors
Authors: Liang Tian , Mao Zhifei , Li Lingyao , Wang Rui , He Beibei , Gong Yansheng , Jin Jun , Yan Chunjie , Wang Huanwen 
Published: June 2022

AbstractIntegration of fast charging, high capacity, and mechanical flexibility into one electrode is highly desired for portable energy‐storage devices. However, a high charging rate is always accompanied by capacity decay and cycling instability. Here, a necklace‐structured composite membrane consisting of micron‐sized FeSe2 cubes uniformly threaded by carbon nanofibers (CNF) is reported. This unique electrode configuration can not only accommodate the volumetric expansion of FeSe2 during the lithiation/delithiation processes for structural robustness but also guarantee ultrafast kinetics for Li+ entry. At a high mass loading of 6.2 mg cm−2, the necklace‐like FeSe2@CNF electrode exhibits exceptional rate capability (80.7% capacity retention from 0.1 to 10 A g−1) and long‐term cycling stability (no capacity decay after 1100 charge–discharge cycles at 2 A g−1). The flexible lithium‐ion capacitor (LIC) fabricated by coupling a pre‐lithiated FeSe2@CNF anode with a porous carbon cathode delivers impressive volumetric energy//power densities (98.4 Wh L−1 at 157.1 W L−1, and 58.9 Wh L−1 at 15714.3 W L−1). The top performance, long‐term cycling stability, low self‐discharge rate, and high mechanical flexibility make it among the best LICs ever reported.
Deploying IoT services on the fog infrastructure: A graph partitioning‐based approach
Authors: Ghobaei‐Arani Mostafa , Asadianfam Shiva , Abolfathi Ahad 
Published: June 2022

AbstractInternet of Things (IoT) represents a new generation of information and communication technology for anyone, anytime and anywhere. Cloud service‐based IoT applications significantly increase latency and network utilization. The fog environment is closer to the user to perform computing, communication, and storage tasks on network edge devices. Therefore, it can greatly reduce the latency of real‐time applications. It is an essential feature of fog computing and its most important advantage compared to cloud computing. This study proposed a new approach to service placement generated by running applications on IoT devices in the fog computing. IoT devices send applications to the fog environment that each application contains a set of services. The purpose of solving the IoT services placement problem is to efficiently deploy these services on fog cells. For this purpose, it is assumed that the received services from the IoT applications are received as a directed acyclic graph that depicts the communication between the cells within the graph that shows the communication between the services. Then, the imperialist competitive algorithm is used to place and select the destination for IoT services. The simulation results of the iFogSim simulator in different experiments showed that the imperialist competitive algorithm with the proposed graph partitioning approach has improved service placement on the fog infrastructure compared to the genetic algorithm and best‐fit algorithm.
Artificial intelligence empowerment: The impact of research and development investment on green radical innovation in high‐tech enterprises
Authors: Su Huishuang , Qu Xintong , Tian Shuo , Ma Qiang , Li Ling , Chen Yong 
Published: June 2022

AbstractArtificial intelligence (AI) has become an important driving force leading the new round of scientific and technological revolution and industrial transformation worldwide. AI empowers green radical innovation (GRI), a vital strategic orientation for high‐tech enterprises. To explore the relationship between research and development (R&D) investment and GRI and identify the contingency factors that affect the relationship, this paper proposes a framework and conducts a survey to test it. The findings indicate that R&D investment and GRI have an inverted U‐shaped relationship, that organizational learning meditates the relationship and that management process innovation and organization structure innovation moderate the relationship positively and negatively, respectively. The findings clarify the intermediate mechanism of the transformation from R&D investment to GRI. They will help high‐tech enterprises improve their innovation ability and achieve technological leapfrogging and sustainable development in the context of AI and the green economy.
The influence of AI word‐of‐mouth system on consumers' purchase behaviour: The mediating effect of risk perception
Authors: Zhang Wei , Sun Linhui , Wang Xinping , Wu Anbo 
Published: June 2022

AbstractArtificial intelligence (AI) technology is playing an increasingly important role in achieving precision marketing. AI word‐of‐mouth system marketing focuses most on the entry point of consumers—the key information that leads consumers to buy. Based on consumer behaviour theory and information communication theory, this study constructs a research model of the influence of positive and negative online word of mouth on consumer purchase behaviour from the AI word‐of‐mouth system's four dimensions: professional degree, information quality, information quantity and information intensity. The results show that in the analysis of perceived risk, whether for positive or negative online word of mouth, consumers pay more attention to the number of information features than information quality and information intensity. In the purchase behaviour analysis, consumers are most concerned about information quality and information intensity. Perceived risk plays a mediating role in the influence of AI word of mouth on purchasing behaviour.
Seismic loss optimum design of steel structures using learning‐based charged system search
Authors: Motamedi Pouya , Banazadeh Mehdi , Talatahari Siamak 
Published: June 2022

SummaryOne of the structural engineers' challenges on a regular basis is balancing the expense of initial construction with the cost of future structural loss. At first appearance, employing the optimization method seems to be a viable option. However, since both the structure's analysis and design, as well as the computation of the cost of future loss, are time‐consuming and expensive, combining these processes with the costly optimization progression is prohibitively expensive. The purpose of this study is to present a methodology for the risk‐based optimum design of steel frame structures, as well as to enhance a previously published metaheuristic algorithm for a better optimization approach. The methodology given here allows structural designers to account for seismic risks in the design optimization process without incurring expensive computing expenditures. This approach may be appealing for practical work since it minimizes time‐consuming charges and provides designers with a structural impression. Furthermore, as compared to the standard version, the new optimization algorithm improves performance while decreasing computing costs. Bayesian linear regression is used in conjunction with a parameter identification challenge to derive probabilistic models for estimating structural analysis demand responses. The minimum amount of total initial cost and seismic loss cost is regarded as the objective function of the design of three chosen mid‐ to high‐rise moment frames for the optimization purpose. The results demonstrated enhanced optimization performance as well as a decreased loss cost for employed structures.
Bisphenol A and 2,3,7,8‐tetrachlorodibenzo‐p‐dioxin at non‐cytotoxic doses alter the differentiation potential and cell function of rat adipose‐stem cells
Authors: Nunes Helga Caputo , Tavares Samara Costa , Garcia Heloísa Vicente , Cucielo Maira Smaniotto , dos Santos Sérgio Alexandre Alcântara , Aal Mirian Carolini Esgoti , de Golim Marjorie Assis , Justulin Luís Antônio , Ribeiro Amanda Oliveira , Deffune Elenice , Scarano Wellerson Rodrigo , Delella Flávia Karina 
Published: June 2022

AbstractThe possibility of chemical contamination is an important issue to consider when designing a cell therapy strategy. Both bisphenol A (BPA) and 2,3,7,8‐tetrachlorodibenzo‐p‐dioxin (TCDD) are among the most environmentally relevant endocrine disrupting chemicals (EDCs, compounds with a high affinity for adipose tissue) recently studied. Adipose‐derived stem cells (ASCs) are mesenchymal stromal cells (MSCs) obtained from adipose tissue widely used in regenerative medicine to prevent and treat diseases in several tissues and organs. Although the experimental use of tissue‐engineered constructs requires careful analysis for approval and implantation, there has been a recent increase in the number of approved clinical trials for this promising strategy. This study aimed to evaluate cell viability, apoptosis, DNA damage, and the adipogenic or osteogenic differentiation potential of rat adipose‐derived stem cells (rASCs) exposed to previously established non‐cytotoxic doses of BPA and TCDD in vitro. Results demonstrated that 10 μM of BPA and 10 nM of TCDD were able to significantly reduce cell viability, while all exposure levels resulted in DNA damage, although did not increase the apoptosis rate. According to the analysis of adipogenic differentiation, 1 μM of BPA induced the significant formation of oil droplets, suggesting an increased adipocyte differentiation, while both 10 μM of BPA and 10 nM of TCDD decreased adipocyte differentiation. Osteogenic differentiation did not differ among the treatments. As such, BPA and TCDD in the concentrations tested can modify important processes in rASCs such as cell viability, adipogenic differentiation, and DNA damage. Together, these findings prove that EDCs play an important role as contaminants, putatively interfering in cell differentiation and thus impairing the therapeutic use of ASCs.
Jet energy spectrum and substructure in e+e− collisions at 91.2 GeV with ALEPH Archived Data
Authors: Chen Yi , Badea Anthony , Baty Austin , Chang Paoti , Chien Yang-Ting , Innocenti Gian Michele , Maggi Marcello , McGinn Christopher , Perepelitsa Dennis V. , Peters Michael , Sheng Tzu-An , Thaler Jesse , Lee Yen-Jie 
Published: June 2022

Abstract
The first measurements of energy spectra and substructure of anti-kT jets in hadronic Z0 decays in e+e− collisions are presented. The archived e+e− annihilation data at a center-of-mass energy of 91.2 GeV were collected with the ALEPH detector at LEP in 1994. In addition to inclusive jet and leading dijet energy spectra, various jet substructure observables are analyzed as a function of jet energy which includes groomed and ungroomed jet mass to jet energy ratios, groomed momentum sharing, and groomed jet radius. The results are compared with perturbative QCD calculations and predictions from the Sherpa, Herwig v7.1.5, Pythia6, Pythia8 and Pyquen event generators. The jet energy spectra agree with perturbative QCD calculations which include the treatment of logarithms of the jet radius and threshold logarithms. None of the event generators give a fully satisfactory description of the data.
Heavy neutrinos at future linear e+e− colliders
Authors: Mękała Krzysztof , Reuter Jürgen , Żarnecki Aleksander Filip 
Published: June 2022

Abstract
Neutrinos are among the most mysterious particles in nature. Their mass hierarchy and oscillations, as well as their antiparticle properties, are being intensively studied in experiments around the world. Moreover, in many models of physics beyond the Standard Model, the baryon asymmetry or the dark matter density in the Universe are explained by introducing new species of neutrinos. Among others, heavy neutrinos of Dirac or Majorana nature were proposed to solve open questions in High Energy Physics. Such neutrinos with masses above the electroweak (EW) scale could be produced at future linear e+e− colliders, like the Compact LInear Collider (CLIC) or the International Linear Collider (ILC).We studied the possibility of observing decays of heavy Dirac and Majorana neutrinos in the qqℓ final state with ILC running at 500 GeV and 1 TeV, and CLIC at 3 TeV. The analysis is based on the Whizard event generation and fast simulation of detector response with Delphes. Neutrinos with masses from 200 GeV to 3.2 TeV were considered. We estimated the limits on the production cross sections, interpreted them in terms of the neutrino-lepton coupling parameter $$ {V}_{\ell N}^2 $$

V

ℓ
N

2

(effectively the neutrino mixing angle) and compared them with current limits coming from the LHC running at 13 TeV, as well as the expected limits from future hadron colliders. The limits for the future lepton colliders, extending down to the coupling values of 10−7− 10−6, are stricter than any other limit estimates published so far.
HGprt deficiency disrupts dopaminergic circuit development in a genetic mouse model of Lesch–Nyhan disease
Authors: Witteveen J. S. , Loopstok S. R. , Ballesteros L. Luque , Boonstra A. , van Bakel N. H. M. , van Boekel W. H. P. , Martens G. J. M. , Visser J. E. , Kolk S. M. 
Published: June 2022

AbstractIn Lesch–Nyhan disease (LND), deficiency of the purine salvage enzyme hypoxanthine guanine phosphoribosyl transferase (HGprt) leads to a characteristic neurobehavioral phenotype dominated by dystonia, cognitive deficits and incapacitating self-injurious behavior. It has been known for decades that LND is associated with dysfunction of midbrain dopamine neurons, without overt structural brain abnormalities. Emerging post mortem and in vitro evidence supports the hypothesis that the dopaminergic dysfunction in LND is of developmental origin, but specific pathogenic mechanisms have not been revealed. In the current study, HGprt deficiency causes specific neurodevelopmental abnormalities in mice during embryogenesis, particularly affecting proliferation and migration of developing midbrain dopamine (mDA) neurons. In mutant embryos at E14.5, proliferation was increased, accompanied by a decrease in cell cycle exit and the distribution and orientation of dividing cells suggested a premature deviation from their migratory route. An abnormally structured radial glia-like scaffold supporting this mDA neuronal migration might lie at the basis of these abnormalities. Consequently, these abnormalities were associated with an increase in area occupied by TH+ cells and an abnormal mDA subpopulation organization at E18.5. Finally, dopaminergic innervation was disorganized in prefrontal and decreased in HGprt deficient primary motor and somatosensory cortices. These data provide direct in vivo evidence for a neurodevelopmental nature of the brain disorder in LND. Future studies should not only focus the specific molecular mechanisms underlying the reported neurodevelopmental abnormalities, but also on optimal timing of therapeutic interventions to rescue the DA neuron defects, which may also be relevant for other neurodevelopmental disorders.
Contact-dependent signaling triggers tumor-like proliferation of CCM3 knockout endothelial cells in co-culture with wild-type cells
Authors: Rath Matthias , Schwefel Konrad , Malinverno Matteo , Skowronek Dariush , Leopoldi Alexandra , Pilz Robin A. , Biedenweg Doreen , Bekeschus Sander , Penninger Josef M. , Dejana Elisabetta , Felbor Ute 
Published: June 2022

AbstractCerebral cavernous malformations (CCM) are low-flow vascular lesions prone to cause severe hemorrhage-associated neurological complications. Pathogenic germline variants in CCM1, CCM2, or CCM3 can be identified in nearly 100% of CCM patients with a positive family history. In line with the concept that tumor-like mechanisms are involved in CCM formation and growth, we here demonstrate an abnormally increased proliferation rate of CCM3-deficient endothelial cells in co-culture with wild-type cells and in mosaic human iPSC-derived vascular organoids. The observation that NSC59984, an anticancer drug, blocked the abnormal proliferation of mutant endothelial cells further supports this intriguing concept. Fluorescence-activated cell sorting and RNA sequencing revealed that co-culture induces upregulation of proangiogenic chemokine genes in wild-type endothelial cells. Furthermore, genes known to be significantly downregulated in CCM3−/− endothelial cell mono-cultures were upregulated back to normal levels in co-culture with wild-type cells. These results support the hypothesis that wild-type ECs facilitate the formation of a niche that promotes abnormal proliferation of mutant ECs. Thus, targeting the cancer-like features of CCMs is a promising new direction for drug development.