bluuebunny/crossref_metadata_2025_split huggingface dataset:
Machine learning-based design of double corrugated steel plate shear walls
Authors: Baboli Nezhadi Elyas , Labibzadeh Mojtaba , Hosseinlou Farhad , Khayat Majid 
Published: November 2024

PurposeIn this study, machine learning (ML) algorithms were employed to predict the shear capacity and behavior of DCSWs.Design/methodology/approachIn this study, ML algorithms were employed to predict the shear capacity and behavior of DCSWs. Various ML techniques, including linear regression (LR), support vector machine (SVM), decision tree (DT), random forest (RF), extreme gradient boosting (XGBoost) and artificial neural network (ANN), were utilized. The ML models were trained using a dataset of 462 numerical and experimental samples. Numerical models were generated and analyzed using the finite element (FE) software Abaqus. These models underwent push-over analysis, subjecting them to pure shear conditions by applying a target displacement solely to the top of the shear walls without interaction from a frame. The input data encompassed eight survey variables: geometric values and material types. The characterization of input FE data was randomly generated within a logical range for each variable. The training and testing phases employed 90 and 10% of the data, respectively. The trained models predicted two output targets: the shear capacity of DCSWs and the likelihood of buckling. Accurate predictions in these areas contribute to the efficient lateral enhancement of structures. An ensemble method was employed to enhance capacity prediction accuracy, incorporating select algorithms.FindingsThe proposed model achieved a remarkable 98% R-score for estimating shear strength and a corresponding 98% accuracy in predicting buckling occurrences. Among all the algorithms tested, XGBoost demonstrated the best performance.Originality/valueIn this study, for the first time, ML algorithms were employed to predict the shear capacity and behavior of DCSWs.
Determining the optimal level of automation for cash flow forecasts
Authors: Rossmann Lorenz , Wald Andreas , Gleich Ronald 
Published: November 2024

PurposeThe aim of this paper is to develop an approach for identifying the optimal level of automation by maximizing the level of automation and accuracy while addressing problem areas of forecast quality.Design/methodology/approachWe use a unique set of forecasts planned by six subsidiaries of a multinational corporation to train and test various models. We compare the accuracy of three levels of automation and how they address prevalent forecasting process quality problem areas.FindingsThe findings indicate that accuracy alone is not a sufficient dimension to consider when selecting the optimal level of automation but that forecast process quality areas need to be assessed as well.Research limitations/implicationsThe limitations of this work are the inability to study the effects of our tool’s recommendations, the sample originating from a single company, the use of simple statistical methods and the limited number of dimensions to evaluate forecasts.Practical implicationsFirms should apply the structure offered in this paper to target individual components of the cash flow forecasting process when automating it and use it to structure their discussion, planning and implementation of automation.Originality/valueA novel approach for determining the optimal level of automation for cash flow forecasting combining the human information processing framework of Parasuraman et al. (2000) with the forecast quality problem areas by Fildes and Petropoulos (2015).
Unveiling the dark and scary side of metaverse: an in-depth qualitative investigation
Authors: Kumar Aman , Shankar Amit , Mehrotra Ankit , Yaqub Muhammad Zafar , A. Alzeiby Ebtesam Abdullah 
Published: November 2024

PurposeMetaverse is one of the decade’s most exciting and transformative technological innovations. While the metaverse holds immense promise, it has potential risks and dark sides. This research aims to investigate and identify the crucial dark dimensions associated with the metaverse platforms.Design/methodology/approachEmploying a qualitative phenomenological methodology, the authors interviewed 45 metaverse users to unravel dark dimensions related to the metaverse. Analyzing the themes extracted from the participants' insights revealed an alignment with the underpinnings of the Technology Threat Avoidance (TTA) theory.FindingsThe findings of this study revealed seven major dark dimensions: addiction and dependency, isolation and loneliness, mental health issues, privacy and security, cyberbullying and harassment, digital identity theft and financial exploitation.Practical implicationsThe study helps organizations and metaverse platforms understand the crucial dark dimensions of the metaverse. This study concludes by synthesizing prevalent themes and proposing propositions, offering insights for practical application and policy considerations.Originality/valueThis study provides a deeper understanding of the dark side of the metaverse environment from a user perspective using the underpinnings of TTA theory.
Understanding public opinion and discussion dynamics of digital humans on social media: an analysis of sentiment, themes and user characteristics
Authors: Xiang Junming , Fu Shixuan 
Published: November 2024

PurposeThe emergence of artificial intelligence-generated content (AIGC) technology has markedly enhanced the capabilities of digital human content generation and natural language processing, thus further advancing the development of digital humans. To enable enterprises and governments to effectively address the challenges and opportunities arising from the rapid development of digital humans, it is imperative to understand the public opinion and discussion dynamics of digital humans.Design/methodology/approachThis study initially analyzed the trends and distribution patterns of public attention to digital humans. By utilizing word cloud technology, we explored the primary focal points of public interest and conducted a topic analysis using latent Dirichlet allocation (LDA) techniques. Subsequently, content analysis was conducted on the popular application domains of digital humans. Finally, this study examined the influence of user characteristics on emotional scores toward digital humans and the presence of differences in focus across user groups.FindingsThe results indicate a sustained increase in public attention toward digital humans, accompanied by notable geographic disparities in the distribution of discussions. Discussions on Weibo are primarily focused on four domains, whereas areas within the digital human application domain that provoke widespread discussion include live streaming, service, cultural entertainment and digital avatars. Significant impacts of user characteristics on sentiment scores were observed, revealing divergent focal points of interest among different user groups toward digital humans.Originality/valueThrough the deep analysis of Weibo data, this study offers new insights into the digital human industry, enabling governments and businesses to understand industry trends and develop targeted digital human customization strategies based on customer characteristics.
The NFL as “not for long”: the NFL draft and teams’ discount rates
Authors: Duquette Christopher M. , Cebula Richard J. 
Published: November 2024

PurposeTo present a method for calculating the discount rate that teams apply to future-year draft picks relative to current-year draft picks and then apply that method to the actual draft picks and trades over the period 2011–2022.Design/methodology/approachThe National Football League (NFL) Draft permits teams to trade the selection rights for current-year and future-year draft picks. We seek to calculate the discount rates associated with NFL Draft trades. With this method, we calculate the discount rate for each trade by NFL teams involving a combination of current-year and future-year draft picks since 2011, when the NFL ratified a new collective bargaining agreement that instituted a draft-pick salary scale and capped the length of draftees’ contracts.FindingsWe find that teams' annualized discount rates in trading away future-year draft picks are quite steep, averaging more than 100% per year. These steep discount rates suggest that teams are pressured by market competition to adopt a “win now” approach in devaluing the future draft choices relative to the present draft choices.Research limitations/implicationsThe actual discount rate for each trade is not known with certainty when the trade is transacted. This uncertainty arises because the within-round order of future-year picks is determined by teams’ future performance, which is not known at the time of the transaction.Practical implicationsIn reporting these findings, we acknowledge the limitations of our analysis. The dataset is small, as there are on average between five and six trades per year involving current-year and future-year picks. More observations could have been included by extending the timeframe to before 2011, but we opted against doing so because the NFL’s 2011 CBA changed teams’ draft calculus by imposing a draft-pick salary scale and capping the length of draftees’ contracts. In addition, our discount rates as calculated are ex post facto in that they are calculated after the future-year drafts have been held. While these are the actual discount rates for the trades as transacted, the actual discount rate for each trade is not known with certainty when the trade is transacted. This uncertainty arises because the within-round order of future-year picks is determined by teams’ future performance, which is not known at the time of the transaction. As an aside, we also re-estimated each trade’s discount rate with an adjustment for that uncertainty, and the median discount rate for all 61 trades was still over 100% per year.Originality/valueProviding insights into NFL Draft management behavior and decision-making for current-year and future-year draft picks since 2011, when the NFL ratified a new collective bargaining agreement that instituted a draft-pick salary scale and capped the length of draftees’ contracts.
The role of ingrown hairs in persistent kerion of children: A clinical study
Authors: Yao Qi‐Hao , Zhi Hui‐Lin , Xia Xiu‐Jiao , Liu Ze‐Hu 
Published: November 2024

AbstractTinea capitis, a common public health problem in developing countries, has severe forms such as kerion. However, the underlying mechanisms and standard treatments for persistent cases of tinea capitis or kerion remain controversial. In this work, we investigate the ingrown hairs and corresponding treatment in persistent kerion of children. Children with persistent kerion were enrolled among 312 cases of tinea capitis at the Department of Dermatology, Hangzhou Third People's Hospital from January 2020 to June 2024. The presence of fungal infection was ascertained by direct microscopic examination under calcofluor white staining and routine culture. The structure of the ingrown hairs was observed directly by a dermatoscope, which was subsequently extracted using sterile tools. A total of six cases of persistent kerion among 312 cases of tinea capitis were enrolled. Ingrown hairs were ascertained under dermatoscopy and extracted by minor operation. Except for one patient who continued oral terbinafine, the other five cases were cured by removal alone. Ingrown hairs, induced by fungal infection, may be an aggravating factor of persistent course of tinea capitis. Our study demonstrated that the presence of ingrown hairs could be confirmed through direct dermatoscopy, and patients experienced significant improvement following removal treatment under dermatoscopy.
An evodiamine derivative inhibits osteoclast differentiation and protects against OVX‐induced bone loss in mice
Authors: Liu Chao , Shen Huaxing , Li Huang , Wang Nan , He Shipeng , Ye Guangming , Cong Wei 
Published: November 2024

AbstractEvodiamine is a biologically active alkaloid extracted from the fruit of the traditional Chinese medicine Evodia rutaecarpa (Juss.) Benth. (Fructus Evodiae, Wuzhuyu). However, due to its lipophilic chemical structure, low water solubility results in poor bio‐availability, which limits its broader application. 3‐Amino‐10‐hydroxyl‐evodiamine (E2) was a water‐soluble derivative of evodiamine with good anti‐tumour bioactivity previously developed by our team; however, its anti‐osteoporosis activity remains unclear. This study demonstrates that E2 inhibits the maturation of osteoclasts and bone resorption promoted by receptor activator of nuclear factor‐κB ligand (RANKL). Mechanistically, E2 reduced RANKL‐induced activation of nuclear factor kappa B (NF‐κB) as well as mitogen‐activated protein kinase (MAPK) pathways, causing the suppression of the expression of genes associated with osteoclasts in vitro. These genes included nuclear factor of activated T cells c1 (NFATc1), tartrate‐resistant acid phosphatase (TRAP), cathepsin k (CTSK) and dendritic cell–specific transmembrane protein (DC‐STAMP). Treatment with E2 in vitro resulted in the attenuation of p‐ERK, p‐JNK, p‐p38 and NFATc1 levels. Furthermore, ovariectomized (OVX) mice treated with E2 showed a decrease in osteoclast formation as well as preservation of bone mass. This study concludes with evidence that E2 decreases osteoclast maturation and bone resorption through the regulation of multiple signalling pathways, thereby exhibiting an osteoprotective role in OVX mice. Consequently, E2 exhibits significant potential as a prospective drug candidate for treating osteoporosis.
Greece: Political Developments and Data in 2023
Authors: MYLONAS HARRIS 
Published: November 2024

AbstractThe year 2023 was marked by two national elections during the summer months, as well as regional and municipal elections in October. New Democracy dominated electorally in both. Another key political change was the resignation of the head of the Coalition of the Radical Left, Alexis Tsipras, following his party's devastating defeats in national elections. He was replaced in internal elections later that year by Stefanos Kasselakis—a political newcomer with no prior experience. The deadly Tempi train crash, wildfires across the country, hooligan violence, and the devastating floods caused by Storm Daniel in Thessaly raised issues about the effectiveness of the government and added to the general mistrust of politics and politicians. In October, Greece regained investment grade in its credit rating from Standard & Poor's Global Ratings. Inflation, at 3.5 per cent in December, continued to be top of mind for most citizens. The devastating consequences of gender‐based violence persisted this year, with a staggering 15 femicides recorded in total.
High‐grade squamous intraepithelial lesions and adenocarcinoma in situ with a negative HPV cervical screening test. The role of HPV‐ISH testing: A retrospective review
Authors: Sandeford Jonathan , Herbst Unine , Lum Trina , Anderson Lyndal , Pather Selvan 
Published: November 2024

Australia has transitioned to primary Human Papillomavirus (HPV) screening; however, high‐risk HPV (hrHPV)‐negative high‐grade squamous intraepithelial lesions and adenocarcinoma in situ have been reported. HPV in situ hybridisation (ISH) testing has been proposed to reclassify these cases. This study identified hrHPV‐negative lesions and assessed HPV‐ISH. A total of 89 of 1468 patients (6.06%) had hrHPV‐negative lesions, and HPV‐ISH revealed five (5.75%) reclassified positive cases. No demographical differences were found between groups. Current population‐level screening is effective. HPV‐ISH was not effective for reclassification. This small, significant population requires further study to assess the phenomenon and augment detection given the implications of misidentification.
Haemorrhagic and thromboembolic outcomes in pregnant patients with mechanical heart valves who undergo interruption of anticoagulation for birth – A case series
Authors: Aboud Lily , Tanner Helen , Parsonage William , Lust Karin , Callaway Leonie 
Published: November 2024

BackgroundAnticoagulant therapy prevents thrombosis and thromboembolic events in patients with mechanical heart valves. Bridging anticoagulation around the time of birth represents a unique challenge. Few retrospective reviews or case series exist examining peripartum outcomes with bridging anticoagulation.AimsReview of peripartum and postpartum anticoagulation management, with a focus on postpartum complications.Materials and methodsDesign: case series, single centre. Setting: Royal Brisbane and Women's Hospital, Australia between 1 January, 2000, and 1 August, 2022. Population: all pregnant women with mechanical heart valves (any type) who birthed. Main outcome measures: intrapartum and postpartum haemorrhage, thrombosis, thromboembolic complications, cardiac events, readmission, and maternal death.ResultsThere were 18 women, with 23 births. Sixteen births were via caesarean section (70%). Fourteen women (61%) experienced at least one significant haemorrhagic complication, one woman required a peripartum hysterectomy, one woman experienced atrial fibrillation, and one had a valvular thromboembolic complication. No maternal cerebral thromboses or maternal deaths were recorded.ConclusionsWomen with mechanical heart valves who undergo bridging anticoagulation are associated with significant maternal morbidity. Most postpartum haemorrhagic complications were associated with bridging unfractionated heparin infusions in the first postnatal week. Bridging anticoagulation practices varied widely. Ongoing pooled data are required to inform evidence‐based guidelines for postpartum anticoagulation management.
Altered sleep and inflammation are related to outcomes in neonatal encephalopathy
Authors: Hurley Tim , Stewart Philip , McCarthy Robert , O'Dea Mary , Kelly Lynne , Daly Mandy , Butler John , McCarthy Rob , Miletin Jan , Sweetman Deirdre , Byrne Angela , Colleran Gabrielle , Bhroin Megan Ni , Bokde Arun L. W. , Molloy Eleanor J. 
Published: November 2024

AbstractAimImmune dysregulation and delayed onset of sleep wake cycling (SWC) are associated with worse outcome in neonatal encephalopathy (NE), however the association between sleep and immune dysfunction in NE remains unclear. Aimed to evaluate association of sleep and systemic inflammation with outcomes in NE.MethodsAmplitude‐integrated electroencephalography (aEEG) recordings were collected on infants undergoing therapeutic hypothermia (TH). Duration to onset of (SWC) and sleep quality (SQ) were examined. Blood samples collected during the first 2 days of life. Thirteen pro‐ and anti‐inflammatory serum cytokines were quantified. Adverse outcome defined as death or abnormal MRI brain.ResultsEarlier onset of SWC and better SQ had less adverse outcomes. SQ provided better prognostic value and showed better interobserver agreement compared to duration to SWC. Better SQ associated with lower cytokines EPO and interleukin (IL)‐1β. In infants with unfavourable outcome, shorter duration to SWC was associated with higher EPO and better SQ was associated with lower TNF‐α.ConclusionEarlier onset of SWC or better SQ showed less systemic inflammation and fewer adverse outcomes. SQ during TH provided better prognostic information than time of onset of SWC. Modulation of circadian rhythm in infants with NE may have an immunomodulatory role, leading to improved outcomes.
Resting‐State Functional Magnetic Resonance Imaging Reveals the Effects of rTMS on Neural Activity and Brain Connectivity After Experimental Stroke
Authors: Hu Jian , Hua Yan , Li Congqin , Zhang Anjing , Wang Yuyuan , Bai Yulong 
Published: November 2024

ABSTRACTAimsLimited understanding of neurobiological mechanisms of repetitive transcranial magnetic stimulation (rTMS) prevents us from choosing optimal therapeutic regimen for patients to improve therapeutic efficiency. Resting‐state functional magnetic resonance imaging (rs‐fMRI) has been demonstrated to obtain comparable functional readouts across species.MethodsIntermittent and continuous theta burst stimulation were used to stimulate ipsilesional and contralesional hemisphere, respectively, during the subacute phase after stroke. We used a rat middle cerebral artery occlusion stroke model. The amplitude of low‐frequency fluctuations and functional connectivity analyses of rs‐fMRI were chosen to detect neuron activity and functional connectivity. The expression of neuron activation marker c‐Fos and axonal plasticity marker GAP43 was examined by an immunochemistry method to corroborate the results of rs‐fMRI.ResultsiTBS altered the long‐term neuronal activity in bilateral sensorimotor cortex, whereas cTBS influenced immediate neuronal activity of bilateral sensorimotor cortex. In addition, cTBS enhanced interhemispheric and intrahemisheric functional connectivity in contralesional hemisphere, accompanied by axonal and dendritic remodeling in the perilesional cortical areas and contralesional homologous areas after large stroke.ConclusionrTMS exerted complex effects on brain structural and functional connectivity in addition to affecting cortical excitability. cTBS promoted the compensatory effect of contralesional hemisphere after stroke with large lesions.
Clinical pharmacokinetics and pharmacodynamics of ongericimab: A potential long‐acting PCSK9 monoclonal antibody in healthy subjects and patients with hypercholesterolemia: Randomized, double‐blind, placebo‐controlled phase Ia and Ib/II studies
Authors: Jiang Juanjuan , Xu Li , Chai Lin , Guan Xiaoyuan , Zhang Li , Liu Hong , Yan Yan , Li Lili , Zhao Yi , Bai Xuelian , Tian Lei , Jia Youhong 
Published: November 2024

AbstractProprotein convertase subtilisin/kexin type 9 (PCSK9) increases plasma low‐density lipoprotein‐cholesterol (LDL‐C) by decreasing the expression of the LDL‐receptor on hepatic cells. Ongericimab (JS002) is a novel PCSK9 monoclonal antibody that exhibits a long‐acting LDL‐C lowering effect by exclusively inhibiting PCSK9 in pre‐clinical studies. Two randomized, double‐blind, placebo‐controlled trials were conducted to evaluate the safety, tolerability, efficacy, immunogenicity, pharmacokinetic, and pharmacodynamic profiles of ongericimab in healthy subjects and patients with hypercholesterolemia. Eighty‐four healthy subjects in the phase Ia study received a single dose of placebo or ongericimab (15–450 mg). Ninety patients with hypercholesterolemia in the phase Ib/II study received placebo or ongericimab 150 mg Q2W, 300 mg Q4W, or 450 mg Q4W for 12 weeks. Ongericimab exhibited non‐linear kinetics. The apparent clearance decreased as the dosage increased, with terminal elimination half‐life (t1/2) values of 4.5–6.5 days. Overall, ongericimab was well tolerated in both studies. A single dose of ongericimab reduced LDL‐C levels by 30%–73% in healthy subjects, and repeated doses of ongericimab reduced LDL‐C levels by 67%–80% in patients with hypercholesterolemia. At the end of the dosing interval in the phase Ib/II study, over 70% of patients' LDL‐C levels decreased by more than 50% from baseline. The results showed that ongericimab had a significant long‐acting LDL‐C lowering effect with good safety and potential for clinical application.