bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on trend prediction of component stock in fuzzy time series based on deep forest
Authors: Li Peng , Gu Hengwen , Yin Lili , Li Benling 
Published: September 2022

AbstractWith the continuous development of machine learning and the increasing complexity of financial data analysis, it is more popular to use models in the field of machine learning to solve the hot and difficult problems in the financial industry. To improve the effectiveness of stock trend prediction and solve the problems in time series data processing, this paper combines the fuzzy affiliation function with stock‐related technical indicators to obtain nominal data that can widely reflect the constituent stocks in the case of time series changes by analysing the S&P 500 index. Meanwhile, in order to optimise the current machine learning algorithm in which the setting and adjustment of hyperparameters rely too much on empirical knowledge, this paper combines the deep forest model to train the stock data separately. The experimental results show that (1) the accuracy of the extreme random forest and the accuracy of the multi‐grain cascade forest are both higher than that of the gated recurrent unit (GRU) model when the un‐fuzzy index‐adjusted dataset is used as features for input, (2) the accuracy of the extreme random forest and the accuracy of the multigranular cascade forest are improved by using the fuzzy index‐adjusted dataset as features for input, (3) the accuracy of the fuzzy index‐adjusted dataset as features for inputting the extreme random forest is improved by 18.89% compared to that of the un‐fuzzy index‐adjusted dataset as features for inputting the extreme random forest and (4) the average accuracy of the fuzzy index‐adjusted dataset as features for inputting multi‐grain cascade forest increased by 5.67%.
A trajectory summarisation generation method based on the mobile robot behaviour analysis
Authors: Liu Weifeng , Ma Liwen , Qu Shaoyong , Peng Zhangming 
Published: September 2022

AbstractThe semantic representation of the trajectory is conducive to enrich the content of trajectory data mining. A trajectory summarisation generation method based on the mobile robot behaviour analysis was proposed to realize the abstract expression and semantic representation of the spatio‐temporal motion features of the robot and its environmental interaction state. First, the behavioural semantic modelling and representation of the mobile robot are completed by modelling the sub‐trajectory and calculating the topological behaviour (TOP). Second, Chinese word segmentation and semantic slot filling methods are used to combine with hierarchical clustering to perform basic word extraction and classification for describing trajectory sentences. Then, the description language frame is extracted based on the TOP, and the final trajectory summarisation is generated. The result shows that the proposed method can semantically represent robot behaviours with different motion features and topological features, extract two verb‐frameworks for describing the sentences according to their topological features, and dynamically adjust the syntactic structure for the different topological behaviours between the target and the environment. The proposed method can generate semantic information of relatively high quality for spatio‐temporal data and help to understand the higher‐order semantics of moving robot behaviour.
An improved energy storage switched boost grid‐connected inverter for photovoltaic applications
Authors: Liu Shuo , Zhou Xu , Li Jianlin , Li Chengxin , Liu Chenguang 
Published: September 2022

AbstractWhen the traditional two‐stage boost inverter is used in photovoltaic (PV) and energy storage systems, it is necessary to connect additional bidirectional conversion devices, which will increase the loss of the system and increase the complexity of system control. Therefore, an improved energy storage switched boost (ESSB) grid‐connected inverter is proposed in this paper. The system has the advantages of high integration, high gain and dead time immunity. By controlling the duty cycle of the system, the energy management of the battery can be realized. The system consists of three parts: PV cells, ESSB network and grid‐connected inverter. In order to maximize the energy utilization, this paper uses the disturbance observation method to track the maximum power point of PV cells, and formulates a set of energy management strategy to control the energy flow between the three energy units. Simulation and experiments verify the superiority of the topology and the feasibility of the energy storage strategy.
An improved voltage balancing control method for single‐phase cascaded H‐bridge rectifier considering grid‐side DC offset
Authors: Bo Tianci , Ma Lei , Chen Yan , Liu Haoran , Peng Lin , Liao Yongyi 
Published: September 2022

AbstractAn improved voltage balancing control (VBC) method is proposed in this paper to optimize control performance of single‐phase cascaded H‐bridge rectifier (CHBR). Firstly, the steady‐state error of the VBC method based on capacitor energy estimation is analyzed. An error compensation method is therefore presented to eliminate the steady‐state error. The proposed method delivers fast dynamic performance without steady‐state error. In addition, it requires less parameter tuning than traditional proportional‐integral‐based (PI‐based) VBC methods, and coupling effect between the upper‐ and the lower layer control system is also eliminated in both dynamic and steady state. Moreover, a mixed second‐ and third‐order generalized integrator (MSTOGI) method is applied to suppress the dc offset of grid voltage, which may occur in the process of sampling or conversion. Finally, a physical experiment platform is developed and a series of comparisons are given to verify the feasibility of the proposed method.
Metformin is Protective Against the Development of Mood Disorders
Authors: Lake Jacqueline , Bortolasci Chiara C. , Stuart Amanda L. , Pasco Julie A. , Kidnapillai Srisaiyini , Spolding Briana , Truong Trang T. T. , Panizzutti Bruna , Liu Zoe S. J. , Dean Olivia M. , Crowley Tamsyn , Richardson Mark , Kim Jee Hyun , Berk Michael , Williams Lana J. , Walder Ken 
Published: September 2022

AbstractIntroduction Mood disorders are a major cause of disability, and current treatment options are inadequate for reducing the burden on a global scale. The aim of this project was to identify drugs suitable for repurposing to treat mood disorders.Methods This mixed-method study utilized gene expression signature technology and pharmacoepidemiology to investigate drugs that may be suitable for repurposing to treat mood disorders.Results The transcriptional effects of a combination of drugs commonly used to treat mood disorders included regulation of the steroid and terpenoid backbone biosynthesis pathways, suggesting a mechanism involving cholesterol biosynthesis, and effects on the thyroid hormone signaling pathway. Connectivity Map analysis highlighted metformin, an FDA-approved treatment for type 2 diabetes, as a drug having global transcriptional effects similar to the mood disorder drug combination investigated. In a retrospective cohort study, we found evidence that metformin is protective against the onset of mood disorders.Discussion These results provide proof-of-principle of combining gene expression signature technology with pharmacoepidemiology to identify potential novel drugs for treating mood disorders. Importantly, metformin may have utility in the treatment of mood disorders, warranting future randomized controlled trials to test its efficacy.
Radical Nephrectomy in Renal Cell Carcinoma with Venous Tumoral Thrombus: Long-term Outcomes and Overall Survival
Authors: Mosquera Aysa Vanessa , Barco-Castillo Catalina , Camacho Diego , Correa José , Varela Rodolfo , Citarella Danilo , Cabrera Marino 
Published: September 2022

Abstract
Objective To describe the five-year overall survival (OS) and perioperative morbidity of patients with renal cell carcinoma (RCC) with venous tumor thrombus (VTT) treated through radical nephrectomy and thrombectomy.
Materials and Methods We evaluated a cohort of 530 patients with a diagnosis of RCC from January 2009 to December 2019, and found VTT in 42 of them; these 42 patients composed the study sample. The patients were stratified according to the Neves Thrombus Classification (NTC). The baseline and perioperative characteristics, as well as the follow-up, were described. The Kaplan-Meier curve and its respective Cox regression were applied to present the 5-year OS and the OS stratified by the NTC.
Results The average age of the sample was of 63.19 ± 10.7 years, and there were no differences regarding gender. In total, VTT was present in 7.9% of the patients. According to the NTC, 30.9% of the cases corresponded to level I, 21.4%, to level II, 26.1%, to level III, and 21.4%, to level IV. The 5-year OS was of 88%. For level-I and level-II patients, the 5-year OS was of 100%, and of only 38% among level-IV patients. Complications, mostly minor, occurred in 57% of the cases.
Conclusions Radical nephrectomy with thrombectomy is a morbid procedure; however, most complications are minor, and the five-year mortality is null for patients in NTC levels I and II, and low for levels III and IV, and it may be even lower in level-III patients when standardizing transesophageal echocardiogram intraoperatively and routinary extracorporeal bypass. Thus, we recommend considering this surgery as the first-line management in patients with RCC and VTT.
Are lawyer-lobbyists answerable to ‘a higher authority’? Bar association rules as lobbying regulation in the EU and the USA
Authors: Korkea-aho Emilia 
Published: September 2022

AbstractThis legal comparative article analyzes the regulatory framework of lobbying services provided by law firms in the European Union and the USA. The comparison of regulation between the jurisdictions focuses on three aspects: (1) the definition of lobbying, (2) the legal advice exception, and (3) alignment with bar association rules. While the EU and the USA are largely aligned on the first two points, the differences emerge with respect to the third. The EU regulatory framework ignores lawyers’ professional obligations, which, together with the bar associations’ half-hearted embrace of lobbying rules, is found to be the main reason why law firms in the EU fly under the regulatory radar. With lawyers increasingly becoming involved in the lobbying and advocacy market, the EU and its Member States need to bring their rules on par with the US regulatory model that acknowledges bar association rules as lobbying regulation.
Key comparison BIPM.RI(I)-K1 of the air-kerma standards of the KRISS, Republic of Korea and the BIPM in 60Co gamma radiation
Authors: Kessler C , Burns D , Yi Chul-Young , Kim Yun Ho , Seong Young Min 
Published: September 2022

Main text
A new key comparison of the standards for air kerma of the Korea Research Institute of Standards and Science (KRISS), Republic of Korea, and the Bureau International des Poids et Mesures (BIPM) was carried out in the 60Co radiation beam of the BIPM in March 2022. The comparison result, based on the calibration coefficients for two transfer chambers and expressed as a ratio of the KRISS and the BIPM standards for air kerma, is 1.0006 with a combined standard uncertainty of 1.8 parts in 103. The result agrees within the uncertainties with the direct comparison carried out in 2010. The results are analysed and presented in terms of degrees of equivalence, suitable for entry in the BIPM key comparison database.
To reach the main text of this paper, click on Final Report. Note that this text is that which appears in Appendix B of the BIPM key comparison database https://www.bipm.org/kcdb/.
The final report has been peer-reviewed and approved for publication by the CCRI, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).
Mechanical properties, microstructure, and texture evolution of copper sheets subjected to differential speed rolling process
Authors: Lee Jongbeom , Jeong Haguk , Lee Gunha , Jung Taekkyun 
Published: September 2022

Abstract
Copper sheets were subjected to differential speed rolling (DSR) at roll speed ratios (RSRs) from 1 to 3. The effects of the RSR on the yield strength, uniform strain, microstructure, and texture evolution in the copper sheets were investigated. The grain refinement and uniformity were obviously enhanced, the yield strength and uniform strains increased slightly, and the shear texture components were further widely distributed when the RSR was increased up to 2. At RSR = 3, the yield strength decreased, with a distinct increase in the uniform strains due to dynamic recovery and recrystallization as a result of the steep reduction in the geometrically necessary dislocation (GND) density and the grain orientation spread (GOS), thereby increasing the work hardening coefficient (n) and decreasing the work hardening rate (θ).
On an exponential sum related to the Möbius function
Authors: Zhang Wei 
Published: September 2022

Let

μ
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n
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\mu (n)

be the Möbius function and

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=

e

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π
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α

e(\alpha )=e^{2\pi i\alpha }

. In this paper, we study upper bounds of the classical sum
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We can improve some classical results of Baker and Harman [J. London Math. Soc. (2) 43 (1991), pp. 193–198].
Race Differences in the Association Between Binge Drinking and Treatment Among First-Time Justice-System-Impacted Youth
Authors: Kan Emily , Riano Nicholas , Beardslee Jordan , Frick Paul , Steinberg Laurence , Cauffman Elizabeth 
Published: September 2022

AbstractAimsWe aim to determine whether there are racial/ethnic differences in the association between binge drinking frequency and community-based alcohol treatment among justice-system-impacted adolescents and young adults.MethodsWe examined whether race/ethnicity moderated the relation between binge drinking and youths’ likelihood of receiving alcohol treatment. The sample included 1216 male, first-time-arrested youth from the Crossroads Study (2011–2018). Participants were recruited from CA, PA and LA.ResultsAmong youth who binge drank occasionally, Black youth were less likely to receive alcohol treatment than White (b = −0.08, 95% confidence interval [CI] [−0.13, −0.04]) and Hispanic/Latino (b = −0.06, 95% CI [−0.09, −0.02]) youth. There were no differences between the White and Hispanic/Latino youth. Black youth who were frequent binge drinkers were as likely to receive alcohol treatment as White youth who binge drank significantly less often. There were no racial/ethnic differences in alcohol treatment at the highest level of binge drinking.ConclusionBlack youth who binge drink occasionally are less likely than White youth to receive alcohol treatment. The present findings highlight a need for efforts to mitigate racial disparities in access to or motivations to seek community-based treatment.
Incorporating Intersectionality in Neuropsychology: Moving the Discipline Forward
Authors: Fujii Daryl E M 
Published: September 2022

Abstract

Objective
Intersectionality is the interface between a person’s identities in relation to social systems and institutional discrimination. The concept has generated much interest in psychology for understanding societal inequities and providing culturally informed services to minoritized patients but has yet to be incorporated in clinical neuropsychology. This omission is unfortunate as it is argued that appreciating the impact of institutional discrimination on minoritized groups can enhance our understanding of brain organization and functioning and bolster access to competent neuropsychological services to minoritized patients. The purpose of this article is to illustrate how intersectionality is germane to the discipline of clinical neuropsychology and to make recommendations for infusing it into the practice.

Method
Theories and findings in cultural neuroscience are summarized to provide a theoretical background for understanding how the environment can impact brain development and organization. The literature on disparities in education, economics, and health disparities between Whites and minoritized groups was reviewed for institutional biases that place minoritized groups at a disadvantage. These topics were selected due to their known impact on brain organization and cognition. This was followed by a similar review for access to competent neuropsychological assessments for minoritized patients.

Results
There is a confluence of institutional discriminatory processes that contribute to disparities in education attainment, economic status, health disparities, and accessibility to culturally informed neuropsychological services. Perceived discrimination has significant health and cognitive ramifications.

Conclusions
Intersectionality is germane to appreciating brain functioning and providing competent services to minoritized patients. Recommendations were made to incorporate intersectionality in clinical neuropsychology.
Efficacy difference of antipsychotics in Alzheimer’s disease and schizophrenia: explained with network efficiency and pathway analysis methods
Authors: Fan Peihao , Kofler Julia , Ding Ying , Marks Michael , Sweet Robert A , Wang Lirong 
Published: September 2022

Abstract
Approximately 50% of Alzheimer’s disease (AD) patients will develop psychotic symptoms and these patients will experience severe rapid cognitive decline compared with those without psychosis (AD-P). Currently, no medication has been approved by the Food and Drug Administration for AD with psychosis (AD+P) specifically, although atypical antipsychotics are widely used in clinical practice. These drugs have demonstrated modest efficacy in managing psychosis in individuals with AD, with an increased frequency of adverse events, including excess mortality. We compared the differences between the genetic variations/genes associated with AD+P and schizophrenia from existing Genome-Wide Association Study and differentially expressed genes (DEGs). We also constructed disease-specific protein–protein interaction networks for AD+P and schizophrenia. Network efficiency was then calculated to characterize the topological structures of these two networks. The efficiency of antipsychotics in these two networks was calculated. A weight adjustment based on binding affinity to drug targets was later applied to refine our results, and 2013 and 2123 genes were identified as related to AD+P and schizophrenia, respectively, with only 115 genes shared. Antipsychotics showed a significantly lower efficiency in the AD+P network than in the schizophrenia network (P &lt; 0.001) indicating that antipsychotics may have less impact in AD+P than in schizophrenia. AD+P may be caused by mechanisms distinct from those in schizophrenia which result in a decreased efficacy of antipsychotics in AD+P. In addition, the network analysis methods provided quantitative explanations of the lower efficacy of antipsychotics in AD+P.
Genetic regulatory and biological implications of the 10q24.32 schizophrenia risk locus
Authors: Wang Junyang , Liu Jiewei , Li Shiwu , Li Xiaoyan , Yang Jinfeng , Dang Xinglun , Mu Changgai , Li Yifan , Li Kaiqin , Li Jiao , Chen Rui , Liu Yixing , Huang Di , Zhang Zhijun , Luo Xiong-Jian 
Published: September 2022

AbstractGenome-wide association studies have identified 10q24.32 as a robust schizophrenia risk locus. Here we identify a regulatory variant (rs10786700) that disrupts binding of transcription factors at 10q24.32. We independently confirmed the association between rs10786700 and schizophrenia in a large Chinese cohort (n = 11 547) and uncovered the biological mechanism underlying this association. We found that rs10786700 resides in a super-enhancer element that exhibits dynamic activity change during the development process and that the risk allele (C) of rs10786700 conferred significant lower enhancer activity through enhancing binding affinity to repressor element-1 silencing transcription factor (REST). CRISPR-Cas9-mediated genome editing identified SUFU as a potential target gene by which rs10786700 might exert its risk effect on schizophrenia, as deletion of rs10786700 downregulated SUFU expression. We further investigated the role of Sufu in neurodevelopment and found that Sufu knockdown inhibited proliferation of neural stem cells and neurogenesis, affected molecular pathways (including neurodevelopment-related pathways, PI3K-Akt and ECM-receptor interaction signalling pathways) associated with schizophrenia and altered the density of dendritic spines. These results reveal that the functional risk single nucleotide polymorphism rs10786700 at 10q24.32 interacts with REST synergistically to regulate expression of SUFU, a novel schizophrenia risk gene which is involved in schizophrenia pathogenesis by affecting neurodevelopment and spine morphogenesis.
Differential regulation of insulin signalling by monomeric and oligomeric amyloid beta-peptide
Authors: Molina-Fernández Rubén , Picón-Pagès Pol , Barranco-Almohalla Alejandro , Crepin Giulia , Herrera-Fernández Víctor , García-Elías Anna , Fanlo-Ucar Hugo , Fernàndez-Busquets Xavier , García-Ojalvo Jordi , Oliva Baldomero , Muñoz Francisco J 
Published: September 2022

AbstractAlzheimer’s disease and Type 2 diabetes are pathological processes associated to ageing. Moreover, there are evidences supporting a mechanistic link between Alzheimer’s disease and insulin resistance (one of the first hallmarks of Type 2 diabetes). Regarding Alzheimer’s disease, amyloid β-peptide aggregation into β-sheets is the main hallmark of Alzheimer’s disease. At monomeric state, amyloid β-peptide is not toxic but its function in brain, if any, is unknown. Here we show, by in silico study, that monomeric amyloid β-peptide 1-40 shares the tertiary structure with insulin and is thereby able to bind and activate insulin receptor. We validated this prediction experimentally by treating human neuroblastoma cells with increasing concentrations of monomeric amyloid β-peptide 1-40. Our results confirm that monomeric amyloid β-peptide 1-40 activates insulin receptor autophosphorylation, triggering downstream enzyme phosphorylations and the glucose Transporter 4 translocation to the membrane. On the other hand, neuronal insulin resistance is known to be associated to Alzheimer’s disease since early stages. We thus modelled the docking of oligomeric amyloid β-peptide 1-40 to insulin receptor. We found that oligomeric amyloid β-peptide 1-40 blocks insulin receptor, impairing its activation. It was confirmed in vitro by observing the lack of insulin receptor autophosphorylation, and also the impairment of insulin-induced intracellular enzyme activations and the glucose Transporter 4 translocation to the membrane. By biological system analysis, we have carried out a mathematical model recapitulating the process that turns amyloid β-peptide binding to insulin receptor from the physiological to the pathophysiological regime. Our results suggest that monomeric amyloid β-peptide 1-40 contributes to mimic insulin effects in the brain, which could be good when neurons have an extra requirement of energy beside the well-known protective effects on insulin intracellular signalling, while its accumulation and subsequent oligomerization blocks the insulin receptor producing insulin resistance and compromising neuronal metabolism and protective pathways.