bluuebunny/crossref_metadata_2025_split huggingface dataset:
Forecasting office rents with ensemble models – the case for European real estate markets
Authors: von Ahlefeldt-Dehn Benedict , Cajias Marcelo , Schäfers Wolfgang 
Published: September 2022

PurposeCommercial real estate and office rental values, in particular, have long been the focus of research. Several forecasting frameworks for office rental values in multivariate and univariate fashions have been proposed. Recent developments in time series forecasting using machine learning and deep learning methods offer an opportunity to update traditional univariate forecasting frameworks.Design/methodology/approachWith the aim to extend research on univariate rent forecasting a hybrid methodology combining both ARIMA and a neural network model is proposed to exploit the unique strengths of both methods in linear and nonlinear modelling. N-BEATS, a deep learning algorithm that has demonstrated state-of-the-art forecasting performance in major forecasting competitions, are explained. With the ARIMA model, it is jointly applied to the office rental dataset to produce forecasts for four-quarters ahead.FindingsWhen the approach is applied to a dataset of 21 major European office cities, the results show that the ensemble model can be an effective approach to improve the prediction accuracy achieved by each of the models used separately.Practical implicationsReal estate forecasting is essential for assessing the value of managing portfolios and for evaluating investment strategies. The approach applied in this paper confirms the heterogeneity of real estate markets. The application of mixed modelling via linear and nonlinear methods decreases the uncertainty of abrupt changes in rents.Originality/valueTo the best of the authors' knowledge, no such application of a hybrid model updating classical statistical forecasting with a deep learning neural network approach in the field of commercial real estate rent forecasting has been undertaken.
Impact of R&D, patents and innovations disclosure on market capitalization: Russian evidence
Authors: Fedorova Elena , Drogovoz Pavel , Popova Anna , Shiboldenkov Vladimir 
Published: September 2022

PurposeThe paper examines whether, along with the financial performance, the disclosure of research and development (R&D) expenses, patent portfolios, patent citations and innovation activities affect the market capitalization of Russian companies.Design/methodology/approachThe paper opted for a set of techniques including bag-of-words (BoW) to retrieve additional innovation-related data from companies' annual reports, self-organizing maps (SOM) to perform visual exploratory analysis and panel data regression (PDR) to conduct confirmatory analysis using data on 74 Russian publicly traded companies for the period 2013–2019.FindingsThe paper observes that the disclosure of nonfinancial data on R&D, patents and primarily product and marketing innovations positively affects the market capitalization of the largest Russian companies, which are mainly focused on energy, raw materials and utilities and are operating on international markets. The study suggests that these companies are financially well-resourced to innovate at risk and thus to provide positive signals to stakeholders and external agents.Research limitations/implicationsOur findings are important to management, investors, financial analysts, regulators and various agencies providing guidance on corporate governance and sustainability reporting. However, the authors acknowledge that the research results may lack generalizability due to the sample covering a single national context. Researchers are encouraged to test the proposed approach further on other countries' data by using the compiled lexicons.Originality/valueThe study aims to expand the domains of signaling theory and market valuation by providing new insights into the impact that companies' reporting on R&D, patents and innovation activities has on market capitalization. New nonfinancial factors that previous research does not investigate – innovation disclosure indicators (IDI) – are tested.
The moderating role of Lean Six Sigma practices on quality management practices and quality performance in medical device manufacturing industry
Authors: Sim Choon Ling , Chuah Francis , Sin Kit Yeng , Lim Yi Jin 
Published: September 2022

PurposeThe purpose of this paper is to explore the moderating role of Lean Six Sigma (LSS) practices in explaining the relationship between quality management practices (QMPs) and quality performance.Design/methodology/approachPartial least square-based structural equation modeling (PLS-SEM) was used to empirically examine the moderating effect of LSS practices on QMPs and quality performance in Malaysian medical device manufacturing companies.FindingsFindings revealed that both QMPs and LSS practices have a significant and positive effect on quality performance. Furthermore, LSS practices served as a substitute for moderating the positive relationship between QMPs and quality performance in such a way that the relationship becomes weaker as LSS practices increase.Originality/valueLSS is acknowledged as the most well-known hybrid methodology; however, due to its relative newness, it has not been studied in great detail. Unlike previous studies, this paper argued that Lean and Six Sigma practices are distinct from its predecessor TQM practices; moreover, both Lean and Six Sigma practices do not need to substitute QM/TQM practices instead of complimenting the QMPs. In addition, this study adds to the growing body of QM literature by empirically examine the effect of LSS practices in moderating the relationship between QMPs and quality performance.
Molecular insight of p53/Sp1/MUC5AC axis in the tumorigenesis and progression of lung adenocarcinoma
Authors: Zhang Jing , He Wenjuan , Hu Xiangying , Fang Xia , Wang Guosheng , Tang Rongjuan , Zhang Ping , Li Qiang 
Published: September 2022

AbstractThe aberrant expression of secretory mucin MUC5AC has been documented during the tumourigenesis and progression of various cancers. However, little is currently known on the function of MUC5AC in lung adenocarcinoma. The present study focused on the tumour‐promoting role of MUC5AC and its regulatory mechanisms in lung adenocarcinoma. Firstly, MUC5AC expression was evaluated in NSCLC tissue microarrays by immunohistochemistry. Kaplan–Meier analysis were used to clarify the prognostic value of MUC5AC. Subsequently, small interfering RNA and small hairpin RNA were used to knockdown MUC5AC in lung ADC cell lines to elucidate its role in tumorigenesis and progression of lung adenocarcinoma via in vitro functional assays and xenograft mouse models. Finally, the regulatory mechanisms underlying p53/Sp1/MUC5AC axis were identified through dual‐luciferase report. We found that MUC5AC was upregulated in lung ADC tissues and cell lines, especially in KRAS‐mutant cases and correlated with poor prognosis. MUC5AC gene silencing resulted in reduced cell proliferation, invasion and migration. Furthermore, knockdown of MUC5AC led to reversion of the epithelial–mesenchymal transition. Additionally, downregulation of MUC5AC reduced tumourigenesis in mouse models. Finally, we found an antagonistic role between Sp1 and p53 in the regulation of MUC5AC gene expression. Our findings suggest that high MUC5AC expression promotes tumourigenesis and progression of lung ADC. Both p53 gene inactivation and Sp1 overexpression in lung ADC may enhance MUC5AC expression, especially in KRAS‐mutated cases. Given the paucity of efficient drug‐targeted approaches of KRAS‐driven lung ADCs, therapies directed at downstream effectors such as MUC5AC could have huge prospects.
Psychosocial factors, but not professional practice skills, linked to self‐perceived effectiveness of telepractice in school‐based speech and language therapists during COVID‐19 pandemic
Authors: Lam Joseph Hin Yan , Chiu Ming Ming , Lee Stephen Man Kit , Tong Shelley Xiuli 
Published: September 2022

AbstractBackgroundFace‐to‐face class suspensions during the coronavirus disease (COVID‐19) pandemic in 2019 increased telepractice in speech and language therapy. However, little is known about speech and language therapists’ (SLTs) perceived effectiveness of telepractice and its antecedents.AimsTo examine the use of telepractice and the factors affecting its perceived effectiveness in Hong Kong mainstream schools during COVID‐19.Methods & ProceduresSeventy‐two school‐based Hong Kong SLTs completed a 110‐item online survey with six structural components: (1) concerns, (2) adoption, (3) student selection criteria, (4) perceived effectiveness, (5) continuous professional development and (6) attitudes/beliefs.Outcomes & ResultsOver 90% of respondents adopted telepractice during the pandemic. Confirmatory factor analysis identified reliable constructs from their component measures. These participants reported great telepractice difficulties (especially in therapy preparation and managing students’ attention and/or communication). Mixed‐response analysis revealed that psychosocial factors (i.e., students’ engagement and SLTs’ attitudes towards telepractice) but not professional practice skill factors (i.e., student client selection criteria and SLTs’ years of experience in school settings) contributed to SLTs’ self‐perceived effectiveness of telepractice.Conclusions & ImplicationsOur findings suggest that psychosocial factors play a more important role than professional practice skill factors in the self‐perceived effectiveness of telepractice.WHAT THIS PAPER ADDSWhat is already known on the subject
Previous surveys reported that although SLTs were interested in using telepractice before the COVID‐19 pandemic, they showed concern about its effectiveness, resulting in a low adoption rate. One critical question naturally arises: What factors may affect the perceived effectiveness of telepractice by SLTs?What this paper adds to existing knowledge
This study demonstrates for the first time that despite the high adoption rate of telepractice during the COVID‐19 pandemic, school‐based SLTs exhibited great difficulties, and the SLTs’ self‐perceived effectiveness of telepractice was related to psychosocial factors instead of professional practice skill factors.What are the potential or actual clinical implications of this work
Professional support is needed to alter the attitudes of SLTs towards telepractice for enhancing their self‐perceived effectiveness and positive clinical practice experience.
Taking time: The temporal politics of dementia, care and support in the neighbourhood
Authors: Ward Richard , Rummery Kirstein , Odzakovic Elzana , Manji Kainde , Kullberg Agneta , Keady John , Clark Andrew , Campbell Sarah 
Published: September 2022

AbstractDementia is a global health challenge and currently the focus of a coordinated international response articulated through the notion of ‘dementia‐friendly communities and initiatives’ (DFCIs). Yet, while increasing research attention has been paid to the social and spatial dimensions to life with dementia in a neighbourhood setting, the temporalities of dementia have been largely overlooked. This article sets out different aspects of the lived experience of time for people with dementia and unpaid carers, before exploring the temporal politics of formal dementia care and support. The authors show that time is a site for material struggle and a marker of unequal relations of power. People with dementia and unpaid carers are disempowered through access to formal care, and this is illustrated in their loss of (temporal) autonomy and limited options for changing the conditions of the care received. The authors advocate for a time‐space configured understanding of the relationship with neighbourhood and foreground a tempo‐material understanding of dementia. Set against the backdrop of austerity policy in the UK, the findings reveal that ongoing budgetary restrictions have diminished the capacity for social care to mediate in questions of social justice and inequality, at times even compounding inequity.
More immigrants, less death: An analysis of immigration effects on county‐level drug overdose deaths, 2000–2015
Authors: Feldmeyer Ben , Sun Diana , Harris Casey T. , Cullen Francis T. 
Published: September 2022

AbstractPublic and political discourse has routinely suggested that immigration is linked to higher community levels of violence and drug problems. In contrast to these claims, research has consistently shown that immigration is not associated with greater violence at the macro level. However, few studies have examined the links between immigration flows and community drug problems. The current study seeks to address this gap in research by providing a county‐level longitudinal analysis of immigration and drug overdose deaths both overall and by substance type for the 2000 to 2015 period and provides an analysis of homicide for comparison with prior immigration–crime research. In addition, this analysis compares immigration–overdose relationships across immigrant destination types. The current project relies on overdose and homicide data drawn from the Centers for Disease Control's Restricted Access Multiple Cause of Death Mortality files combined with data on county social, economic, health, and legal contexts drawn from multiple macro‐level data sources. Findings reveal that immigration is not associated with higher levels of overdose or homicide deaths, and when effects are significant, immigration is linked to lower levels of overdose mortality across multiple substances and destination types.
Allometric scaling of interspecific RNA transcript abundance to extend the use of metatranscriptomics in characterizing complex communities
Authors: Lopez Mark Louie D. , Lin Ya‐ying , Schneider Stephan Q. , Hsieh Chih‐hao , Shiah Fuh‐Kwo , Machida Ryuji J. 
Published: September 2022

AbstractMetatranscriptomics allows profiling of community mRNA and rRNA transcript abundance under certain environmental conditions. However, variations in the proportion of RNA transcripts across different community size structures remain less explained, thus limiting the possible applications of metatranscriptomics in community studies. Here, we extended the assumptions of the growth‐rate hypothesis (GRH) and the metabolic theory of ecology (MTE) to validate the allometric scaling of interspecific RNA transcript (mRNA and rRNA) abundance through metatranscriptomic analysis of mock communities consisting of model organisms. The results suggest that body size imposes significant constraints on RNA transcript abundance. Interestingly, the relationship between the total mitochondrial transcript abundance (mRNA and rRNA slopes were −0.30 and −0.28, respectively) and body size aligned with the MTE assumptions with slopes close to −¼, while the nuclear transcripts displayed much steeper slopes (mRNA and rRNA slopes were −0.33 and −0.40, respectively). The assumed temperature dependence was not observed in this study. At the gene level, the allometric slopes range from 0 to −1. Overall, the above results showed that larger individuals have lesser RNA transcript abundance per tissue mass than smaller ones regardless of temperature. Analyses of field‐collected microcrustacean zooplankton samples demonstrated that the correction of size effect, using the allometric exponents derived from the model organism mock community, explains better the patterns of interspecific RNA transcripts abundance within the metatranscriptome. Integrating allometry with metatranscriptomics can extend the use of RNA transcript reads in estimating ecological processes within complex communities.
Quantifying heterogeneity in mood–alcohol relationships with idiographic causal models
Authors: Stevenson Brittany L. , Kummerfeld Erich , Merrill Jennifer E. , Blevins Claire , Abrantes Ana M. , Kushner Matt G. , Lim Kelvin O. 
Published: September 2022

AbstractBackgroundEcological momentary assessment (EMA) studies have provided conflicting evidence for the mood regulation tenet that people drink in response to positive and negative moods. The current study examined mood‐to‐alcohol relationships idiographically to quantify the prevalence and intensity of relationships between positive and negative moods and drinking across individuals.MethodWe used two EMA samples: 96 heavy drinking college students (sample 1) and 19 young adults completing an ecological momentary intervention (EMI) for drinking to cope (sample 2). Mood and alcohol use were measured multiple times per day for 4–6 weeks. Mood–alcohol relationships were examined using three different analytic approaches: standard multilevel modeling, group causal modeling, and idiographic causal modeling.ResultsBoth multilevel modeling and group causal modeling showed that participants in both samples drank in response to positive moods only. However, idiographic causal analyses revealed that only 63% and 21% of subjects (in samples 1 and 2, respectively) drank following any positive mood. Many subjects (24% and 58%) did not drink in response to either positive or negative mood in their daily lives, and very few (5% and 16%) drank in response to negative moods throughout the EMA protocol, despite sample 2 being selected specifically because they endorse drinking to cope with negative mood.ConclusionTraditional group‐level analyses and corresponding population‐wide theories assume relative homogeneity within populations in mood–alcohol relationships, but this nomothetic approach failed to characterize accurately the relationship between mood and alcohol use in approximately half of the subjects in two samples that were demographically and clinically homogeneous. Given inconsistent findings in the mood–alcohol relationships to date, we conclude that idiographic causal analyses can provide a foundation for more accurate theories of mood and alcohol use. In addition, idiographic causal models may also help improve psychosocial treatments through direct use in clinical settings.
Association between opioid use disorder and blunted heart rate variability among opioid‐treated chronic pain patients
Authors: Roberts R. Lynae , Garland Eric L. 
Published: September 2022

AbstractGiven the severity of the ongoing opioid epidemic, it is essential to understand the mechanisms of risk for development and maintenance of opioid use disorder (OUD). The aim of the current large‐scale psychophysiological investigation was to test whether patients with OUD had lower resting‐state high‐frequency heart rate variability (HF‐HRV) than those without OUD, controlling for sociodemographic and clinical confounds. Additionally, we tested whether HF‐HRV was associated with opioid craving in this population. Participants in this cross‐sectional study were 490 chronic pain patients (50.4% female) treated with long‐term opioid therapy. OUD diagnosis was determined by psychiatric interview. HF‐HRV was measured at resting baseline. We computed the association between OUD and resting‐state HF‐HRV, controlling for age, gender, race, pain severity, emotional distress and opioid dose. Opioid craving was measured with visual analogue scales to assess whether HF‐HRV was associated with craving. Results showed that resting HF‐HRV was significantly lower for patients with OUD than for those without OUD (p < 0.001, d = 0.36), indicating deficits in autonomic flexibility. OUD diagnosis (p = 0.002) and OUD severity (p = 0.03) were associated with lower HF‐HRV in regression models accounting for a range of confounders. Additionally, lower HF‐HRV was significantly (but weakly) correlated with heightened opioid craving (r = −0.166, p < 0.001). Overall, findings suggest that resting‐state HF‐HRV may serve as a valid biomarker of addiction among people on long‐term opioid therapy.
Systematic review: Wearable remote monitoring to detect nonalcohol/nonnicotine‐related substance use disorder symptoms
Authors: Oesterle Tyler S. , Karpyak Victor M. , Coombes Brandon J. , Athreya Arjun P. , Breitinger Scott A. , Correa da Costa Sabrina , (Dana) Gerberi Danielle J. 
Published: September 2022

AbstractBackground and ObjectivesSubstance use disorders (SUDs) are chronic relapsing diseases characterized by significant morbidity and mortality. Phenomenologically, patients with SUDs present with a repeating cycle of intoxication, withdrawal, and craving, significantly impacting their diagnosis and treatment. There is a need for better identification and monitoring of these disease states. Remote monitoring chronic illness with wearable devices offers a passive, unobtrusive, constant physiological data assessment. We evaluate the current evidence base for remote monitoring of nonalcohol, nonnicotine SUDs.MethodsWe performed a systematic, comprehensive literature review and screened 1942 papers.ResultsWe found 15 studies that focused mainly on the intoxication stage of SUD. These studies used wearable sensors measuring several physiological parameters (ECG, HR, O2, Accelerometer, EDA, temperature) and implemented study‐specific algorithms to evaluate the data.Discussion and ConclusionsStudies were extracted, organized, and analyzed based on the three SUD disease states. The sample sizes were relatively small, focused primarily on the intoxication stage, had low monitoring compliance, and required significant computational power preventing “real‐time” results. Cardiovascular data was the most consistently valuable data in the predictive algorithms. This review demonstrates that there is currently insufficient evidence to support remote monitoring of SUDs through wearable devices.Scientific SignificanceThis is the first systematic review to show the available data on wearable remote monitoring of SUD symptoms in each stage of the disease cycle. This clinically relevant approach demonstrates what we know and do not know about the remote monitoring of SUDs within disease states.
Age‐incidence patterns of seminoma and nonseminoma among males and females in Germany and the United States, 2008–2016
Authors: Stang Andreas , Trocchi Pietro , Kajüter Hiltraud , Trabert Britton , Oosterhuis J. Wolter , McGlynn Katherine A. 
Published: September 2022

AbstractBackground & objectivesThe comparison of the incidence of gonadal germ cell tumors among males and females can provide insights that cannot be gained by separately studying these tumors.Material and methodsIncidence data on male and female gonadal germ cell tumors were drawn from the cancer registries of North Rhine‐Westphalia, Germany, and the United States Surveillance, Epidemiology and End Results program, for non‐Hispanic White persons only, for the years 2008–2016. We estimated age‐standardized and age‐, and histology‐specific incidence rates.ResultsWe included 21,840 male and 716 female gonadal germ cell tumors. Incidence rates among males were higher in Germany (95.8 per million, standard error [SE] 1.1) than in the United States (68.0, SE 0.6), while incidence rates among females were lower in Germany (1.9, SE 0.2) than in the United States (2.6, SE 0.1). The characteristic peak of infantile (age 0–4 years) germ cell tumors among males were missing among females. The age peak of ovarian germ cell tumors occurred 15–20 years earlier (Germany: 10–14 years, United States: 15–19 years) than the age peak of testicular germ cell tumors (30–34 years). The three most common testicular germ cell tumors histologies were seminoma, mixed germ cell tumors, and embryonal carcinoma Among females, the three most common ovarian germ cell tumors histologies were teratoma, yolk sac tumor, monodermal teratomas, and somatic‐type tumors arising from dermoid cysts in both countries.DiscussionThe characteristic peak of infantile (age 0–4 years) germ cell tumors among males was missing among females. The shapes of the age‐specific incidence curves are similar for males and females in Germany and the United States, though with much lower incidence rates in females, suggesting a common pathogenesis.ConclusionThe lower rates among females may be due to the lower number of initiated tumors in the absence of the Y‐chromosome, and the earlier peak among females may be due to a younger age at puberty.