bluuebunny/crossref_metadata_2025_split huggingface dataset:
“No fences make bad neighbors” but markets make better ones: cap-and-trade reduces cross-border SO2 in a natural experiment
Authors: Leppert Daniel 
Published: April 2023

AbstractThe clean air interstate rule (CAIR) was a regional cap-and-trade program announced in 2005 which covered 27 eastern US states and sought to reduce sulfur dioxide emissions from coal-fired power plants. The rule was later vacated after a court found that the non-targeted design of the program did not comply with the Clean Air Act provision to regulate interstate air pollution. Using a custom air pollution dispersion model, I calculate the interstate SO2pollution from 493 coal-fired power plants across the United States between 1997 and 2020. In a difference-in-differences setup with plants not covered by CAIR in the control group, I estimate the treatment effect of the program on overall- and cross-border SO2emissions and find a 24% reduction in overall emissions and reduces the risk that a plant violates air quality standards across state borders by 2–4%. I report evidence of heterogeneous treatment effects where the reduction in overall emissions attributed to CAIR is lower among plants transporting SO2in excess of 1% of the National Air Quality Standards to another state.
Body weight loss as a prognostic and predictive factor in previously treated patients with metastatic gastric cancer: post hoc analyses of the randomized phase III TAGS trial
Authors: Ghidini Michele , Hochster Howard , Doi Toshihiko , Van Cutsem Eric , Makris Lukas , Takahashi Osamu , Benhadji Karim A. , Mansoor Wasat 
Published: April 2023

Abstract
Background
Body weight loss (BWL) is a negative prognostic factor in metastatic gastric or gastroesophageal junction cancer (mGC/GEJC). In the phase III TAGS study, trifluridine/tipiracil improved survival versus placebo in third- or later-line mGC/GEJC. These retrospective analyses examined the association of early BWL with survival outcomes in TAGS.

Methods
Efficacy and safety were assessed in patients who experienced < 3% or ≥ 3% BWL from treatment start until day 1 of cycle 2 (early BWL). The effect of early BWL on overall survival (OS) was assessed by univariate and multivariate analyses.

Results
Body weight data were available for 451 of 507 (89%) patients in TAGS. In the trifluridine/tipiracil and placebo arms, respectively, 74% (224/304) and 65% (95/147) experienced < 3% BWL, whereas 26% (80/304) and 35% (52/147) experienced ≥ 3% BWL at cycle 1 end. Median OS was longer in < 3% BWL versus ≥ 3% BWL subgroups (6.5 vs 4.9 months for trifluridine/tipiracil; 6.0 vs 2.5 months for placebo). In univariate analyses, an unadjusted HR of 0.58 (95% CI, 0.46–0.73) for the < 3% vs ≥ 3% BWL subgroup indicated a strong prognostic effect of early BWL. Multivariate analyses confirmed early BWL as both prognostic (P < 0.0001) and predictive (interaction P = 0.0003) for OS. Similar results were obtained for progression-free survival. Any-cause grade ≥ 3 adverse events were reported in 77% and 82% of trifluridine/tipiracil-treated and 45% and 67% of placebo-treated patients with < 3% and ≥ 3% BWL, respectively.

Conclusions
In TAGS, early BWL was a strong negative prognostic factor for OS in patients with mGC/GEJC receiving third- or later-line treatment.
Ecosystem-inspired model and artificial intelligence predicts pollutant consumption capacity by coagulation in drinking water treatment
Authors: Li Si , Zhu Guocheng , Li Xiaoshang , Wan Peng , Yuan Fang , Xu Shanshan , Hursthouse Andrew S. 
Published: April 2023

AbstractConventional methods for water and wastewater treatment are energy-intensive, notably at the stage of coagulation–flocculation, calling for new strategies to predict pollutant reduction because the amount of energy consumed is related to how much of the pollutant is treated. Here we developed a model, named Bio-logic, inspired by ecosystems, where pollutants represent organisms, coagulants are food, and the wider environmental conditions are the living environment. Artificial intelligence was used to learn the biological behavior, which enabled an accurate prediction of the amount of pollutant reduction. Results show that pseudo-biological objects that have a strong affinity for biological food, such as turbidity, total phosphorus, ammonia nitrogen and the potassium permanganate index, induced a strong correlation, between measured pollutant consumption capacity and predicted values. For instance, R2 correlation coefficients are 0.97 for turbidity and 0.92 for the potassium permanganate index in the laboratory; and 0.99 for turbidity, 0.90 for total phosphorus, 0.75 for ammonia nitrogen and 0.63 for the potassium permanganate index in water treatment plants. Overall, our findings demonstrate that artificial intelligence can use the water Bio-logic model to predict the pollutant consumption capacity.
A Revisit of Supply Elasticity and Within-city Heterogeneity of Housing Price Movements
Authors: Ren Ren , Wong Siu Kei , Chau Kwong Wing 
Published: April 2023

AbstractWhile supply elasticity can explain why housing prices appreciate by different amounts across cities, it may play a lesser role in smaller geographic units, such as neighbourhoods within a city. This is because of location substitution: a city cannot be easily substituted by another city, but neighbourhoods of the same city can be close substitutes. This paper revisits the question of whether supply elasticity can differentiate housing price appreciation rates within a city by carefully accounting for substitution effects at the neighbourhood level. From a Hong Kong housing boom (2003—2018), we have found that the impact of supply elasticity on another neighbourhood on average is about one-tenth of the impact on its own neighbourhood. It rejects the notion of perfect substitution, under which this magnitude difference should not have been identified. The contribution of this paper is threefold: 1) It clarifies the theoretical relationship between supply elasticity and substitution in shaping housing price movements. 2) It proposes two novel ways to account for neighbourhoods’ substitution using the spatial spillover of land availability and price co-movement. 3) It delivers a clear answer that supply elasticity can shape the housing price movements within a city.
It Takes Work: How University Students Manage Role Boundaries when the Future is Calling
Authors: Eastgate Lindsay , Creed Peter A. , Hood Michelle , Bialocerkowski Andrea 
Published: April 2023

AbstractManaging boundaries between students’ work and study roles is crucial for success at university. Little research has examined the strategies used to manage these roles, the factors that relate to implementing them, and the outcomes associated with their use. Boundary management theory, an identity-based perspective, explains boundary management processes; yet, few studies have examined how identity affects the enactment of boundary strategies. We investigated the extent to which identity-based concepts (i.e., student role salience and future-self) were related to different types of boundary strategies (i.e., temporal and communicative), how these related to work-study balance, and, in turn, academic satisfaction. We tested our model on a sample of 266 working university students (MAge = 20.07 years, SD = 2.63; 74% women) and it accounted for 41% of the variance in academic satisfaction. Significant relationships were found among identity-based concepts, boundary strategies, work-study balance, and academic satisfaction, highlighting the importance of student identity and the use of temporal strategies in achieving greater work-study balance and academic satisfaction. Suggestions for how education providers can retain students who are struggling to manage work and study are discussed.
Moderate protein intake percentage in mice for maintaining metabolic health during approach to old age
Authors: Kondo Yoshitaka , Aoki Hitoshi , Masuda Masato , Nishi Hiroki , Noda Yoshihiro , Hakuno Fumihiko , Takahashi Shin-Ichiro , Chiba Takuya , Ishigami Akihito 
Published: April 2023

AbstractNutritional requirements for maintaining metabolic health may vary with each life stage, such as young, middle, and old age. To investigate the appropriate ratio of nutrients, particularly proteins, for maintaining metabolic health while approaching old age, young (6-month-old) and middle-aged (16-month-old) mice were fed isocaloric diets with varying protein percentages (5%, 15%, 25%, 35%, and 45% by calorie ratio) for two months. The low-protein diet developed mild fatty liver, with middle-aged mice showing more lipids than young mice, whereas the moderate-protein diet suppressed lipid contents and lowered the levels of blood glucose and lipids. Self-organizing map (SOM) analysis revealed that plasma amino acid profiles differed depending on age and difference in protein diet and were associated with hepatic triglyceride and cholesterol levels. Results indicate that the moderate protein intake percentages (25% and 35%) are required for maintaining metabolic health in middle-aged mice, which is similar to that in young mice.
The interplay between circulating high-density lipoprotein, age and fracture risk: a new cohort study and systematic meta-analysis
Authors: Kunutsor Setor K. , Laukkanen Jari A. 
Published: April 2023

Abstract
Previous findings on the association between high-density lipoprotein cholesterol (HDL-C) and fracture have yielded inconsistent results and it is unclear if the association varies with age and sex. We sought to evaluate the prospective association between HDL-C levels and fracture risk and assess if the association is modified by age and sex. Circulating HDL-C levels were measured at baseline in a population-based sample of 2,448 men aged 42–61 years. Cox regression was used to estimate hazard ratios (HRs) and 95% CIs. Incident fractures (n = 134) occurred during a median follow-up of 25.7 years. In analysis adjusted for several risk factors, the HR (95% CI) for fractures was 1.00 (0.85–1.20) per 1 standard deviation (SD) increase in HDL-C levels. Comparing the extreme tertiles of HDL-C levels, the corresponding adjusted HR (95% CI) was 0.94 (0.62–1.45). In a meta-analysis of eight cohort studies (including the current study) comprising 74,378 participants and 4,621 fracture cases, the fully-adjusted risk estimate (95% CI) for fracture was 1.03 (0.96–1.10) per 1SD increase in HDL-C levels and 1.05 (0.92–1.20) comparing extreme tertiles of HDL-C. The pooled risk estimate (95% CIs) for fracture per 1SD increase were 1.09 (1.01–1.17) and 0.98 (0.93–1.04) for age groups ≥ 60 and < 60 years, respectively, and the corresponding risks comparing the extreme tertiles of HDL-C levels were 1.21 (1.09–1.33) and 0.95 (0.85–1.07) (p-value for interaction < 0.05). Age may modify the association between HDL-C levels and fracture risk – an increased fracture risk associated with increased HDL-C levels is only evident in older age (≥ 60 years).
Applying systems thinking to unravel the mechanisms underlying orthostatic hypotension related fall risk
Authors: Wang Liping , Pronk Anouschka C. , van Poelgeest Eveline P. , Briggs Robert , Claassen Jurgen A.H.R. , Jansen Sofie , Klop Marjolein , de Lange Frederik J. , Meskers Carel C.G.M. , Odekerken Vincent J. J. , Payne Stephen J. , Trappenburg Marijke C. , Thijs Roland D. , Uleman Jeroen F. , Hoekstra Alfons G. , van der Velde Nathalie 
Published: April 2023

AbstractOrthostatic hypotension (OH) is an established and common cardiovascular risk factor for falls. An in-depth understanding of the various interacting pathophysiological pathways contributing to OH-related falls is essential to guide improvements in diagnostic and treatment opportunities. We applied systems thinking to multidisciplinary map out causal mechanisms and risk factors. For this, we used group model building (GMB) to develop a causal loop diagram (CLD). The GMB was based on the input of experts from multiple domains related to OH and falls and all proposed mechanisms were supported by scientific literature. Our CLD is a conceptual representation of factors involved in OH-related falls, and their interrelatedness. Network analysis and feedback loops were applied to analyze and interpret the CLD, and quantitatively summarize the function and relative importance of the variables. Our CLD contains 50 variables distributed over three intrinsic domains (cerebral, cardiovascular, and musculoskeletal), and an extrinsic domain (e.g., medications). Between the variables, 181 connections and 65 feedback loops were identified. Decreased cerebral blood flow, low blood pressure, impaired baroreflex activity, and physical inactivity were identified as key factors involved in OH-related falls, based on their high centralities. Our CLD reflects the multifactorial pathophysiology of OH-related falls. It enables us to identify key elements, suggesting their potential for new diagnostic and treatment approaches in fall prevention. The interactive online CLD renders it suitable for both research and educational purposes and this CLD is the first step in the development of a computational model for simulating the effects of risk factors on falls.
What we know about the low-risk anomaly: a literature review
Authors: Traut Joshua 
Published: April 2023

AbstractIt is well documented that less risky assets tend to outperform their riskier counterparts across asset classes. This paper provides a structured summary of the current state of literature regarding this so-called low-risk anomaly. It provides an overview of empirical findings across implementation methodologies and asset classes. Furthermore, it presents the most prevailing causes, which are namely exposure to other factors, coskewness risk, investor constraints, behavioral biases, and agency problems. The paper concludes that despite some critiques there are good reasons to believe that the low-risk anomaly can be evaluated as an investment factor. It also identifies that more research is required to disentangle the proposed causes to fully understand the big picture of the anomaly with certainty.
Gesundheit und Studienpensum von Studierenden: Ergebnisse eines Gesundheitssurveys an der Universität Kassel
Authors: Hollederer Alfons 
Published: April 2023

Zusammenfassung
Einleitung
Über Gesundheit und Krankheit von Studierenden ist relativ wenig bekannt und die Auswirkungen auf den Studienerfolg sind kaum erforscht. Das Ziel der Studie ist, Assoziationen zwischen dem Gesundheitszustand von Studierenden und dem absolvierten Studienpensum zu analysieren.

Methoden
Es nahmen 3330 von 23.699 immatrikulierten Studierenden der Universität Kassel an der freiwilligen Befragung („computer assisted web interviews“) im März 2022 teil. Die Rücklaufquote betrug 14,1 % unter Bedingungen der Coronapandemie.

Ergebnisse
Ihren allgemeinen Gesundheitszustand bewerteten 80,5 % der Studierenden als sehr gut oder gut. Es gab signifikante Unterschiede zwischen Männern und Frauen beim allgemeinen Gesundheitszustand (84,4 % vs. 78,6 %) sowie beim „global activity limitation indicator“ (GALI). Frauen waren häufiger als Männer seit mindestens 6 Monaten bei alltäglichen Aktivitäten gesundheitsbedingt stark eingeschränkt (3,2 % vs. 2,6 %) oder mäßig eingeschränkt (9,6 % vs. 5,7 %). Auffällig waren die berichteten Prävalenzraten von psychischen Erkrankungen in den letzten 12 Monaten. Sie lagen bei Frauen wesentlich höher als bei Männern (25,3 % vs. 15,4 %). 15,1 % der Studierenden gaben an, dass ihr absolviertes Studienpensum im Umfang „viel weniger“ den Vorgaben der Studienordnung ihres derzeitigen Studiengangs entsprach. Eine logistische Regressionsanalyse eruierte in multivariater Betrachtung, dass Studierende, die gesundheitsbedingt mäßig eingeschränkt waren, ein signifikant gesteigertes Odds Ratio von 1,56 (95 %-Konfidenzintervall [KI] 1,07–2,27) und Studierende mit starken Einschränkungen von 2,81 (95 %-KI 1,64–4,80) für ein viel zu geringes Studienpensum aufwiesen.

Schlussfolgerung
Die Studie ermittelte enge Assoziationen zwischen Gesundheit und Studienpensum. Sie zeigt die Notwendigkeit von mehr Gesundheitsförderung und für ein Gesundheitsmanagement bei Studierenden mit Behinderungen und Gesundheitseinschränkungen auf.
Bedürfnis, Einstellung, Verhalten und die Möglichkeiten ihrer Veränderung. Der MID-HaKo-Ansatz als Impuls und Korrektiv für Change-Management-Modelle
Authors: Hänselmann Matthias C. 
Published: April 2023

ZusammenfassungDieser Beitrag in der Zeitschrift „Gruppe. Interaktion. Organisation. (GIO)“ präsentiert mit dem MID-HaKo-Ansatz ein Konzept zur wissenschaftlichen Modellierung von Verhaltensfindungsprozessen, das sich produktiv zeigt für die Anwendung im Change-Management-Kontext. Der MID-HaKo-Ansatz knüpft an Konzepte der Sozial-, speziell der Verhaltenspsychologie an und liefert ein umfassendes Modell, um die Einflussgrößen zu definieren, die bei einer Handlungsfindung wirksam sind, sowie um diese Einflussgrößen hinsichtlich ihrer Abhängigkeit voneinander zu bestimmen. Als modulares integrativ-dynamisches Haltungskonzept liefert der MID-HaKo-Ansatz neue Perspektiven auf diesen besonders auch organisationspsychologisch relevanten Forschungskomplex: Er rückt ab von einer direkt kausalen Korrelation von Haltung und Verhalten; versucht, alle heute als wichtige Einflussgrößen menschlichen Verhaltens erkannten psychischen, kulturellen und situativen Instanzen konzeptuell einzubinden und die von ihm betrachteten Phänomene vor dem Hintergrund eines wissenschaftlichen Erklärungsmodells zu beleuchten; und er will so den prozesshaften Strukturen bei der Verhaltensfindung in Korrespondenz zu einer bestimmten Situation besser gerecht werden. Diese Ausrichtung macht den vorgestellten Ansatz anschlussfähig für eine Vielzahl weiterer, insbesondere praktisch orientierter Theorien, wie die unterschiedlichen Ausrichtungen des Change-Managements. Neben einer grundsätzlichen Vorstellung des MID-HaKo-Ansatzes wird in einer kritischen Auseinandersetzung mit dem ADKAR-Modell von Jeffrey Hiatt vor dem Hintergrund von MID-HaKo dessen kritisch-produktives Potenzial bei der Entwicklung, Präzisierung bzw. Überprüfung von Change-Management-Konzepten veranschaulicht.
Isolation and Differentiation of Neurons and Glial Cells from Olfactory Epithelium in Living Subjects
Authors: Unzueta-Larrinaga Paula , Barrena-Barbadillo Rocío , Ibarra-Lecue Inés , Horrillo Igor , Villate Aitor , Recio Maria , Meana J. Javier , Diez-Alarcia Rebeca , Mentxaka Oihane , Segarra Rafael , Etxebarria Nestor , Callado Luis F. , Urigüen Leyre 
Published: April 2023

AbstractThe study of psychiatric and neurological diseases requires the substrate in which the disorders occur, that is, the nervous tissue. Currently, several types of human bio-specimens are being used for research, including postmortem brains, cerebrospinal fluid, induced pluripotent stem (iPS) cells, and induced neuronal (iN) cells. However, these samples are far from providing a useful predictive, diagnostic, or prognostic biomarker. The olfactory epithelium is a region close to the brain that has received increased interest as a research tool for the study of brain mechanisms in complex neuropsychiatric and neurological diseases. The olfactory sensory neurons are replaced by neurogenesis throughout adult life from stem cells on the basement membrane. These stem cells are multipotent and can be propagated in neurospheres, proliferated in vitro and differentiated into multiple cell types including neurons and glia. For all these reasons, olfactory epithelium provides a unique resource for investigating neuronal molecular markers of neuropsychiatric and neurological diseases. Here, we describe the isolation and culture of human differentiated neurons and glial cells from olfactory epithelium of living subjects by an easy and non-invasive exfoliation method that may serve as a useful tool for the research in brain diseases.
Multi-tier supply chain behavior with blockchain technology: evidence from a frozen fish supply chain
Authors: Tokkozhina Ulpan , Martins Ana Lucia , Ferreira Joao C. 
Published: April 2023

AbstractRelationships in multi-tier supply chains (MTSCs) are complex and require constant information sharing. For MTSCs involved in perishable product distribution, blockchain technology (BCT) is one of the most promising technologies that can ensure products’ traceability and safety. This study examines a Portuguese MTSC for frozen fish products piloting BCT adoption for its supply chain (SC) practices. The goal is therefore to explore the consequences of information availability inherent for BCT adoption pilots in the SC context. This study follows a mixed-method approach, with qualitative and quantitative data collection techniques. Three semi-structured interviews with players from a single frozen fish SC, including supplier, transporter, and retailer were conducted. MAXQDA Analytics Pro 2022 software was used for further coding and data analysis. An online survey among retail chain consumers was conducted resulting in 112 responses. Regression analysis and Pearson correlation test were further performed via IBM SPSS Statistics software. Data collection for both parts took place between December 2021 and July 2022. This study explores four layers in the SC– including supplier, transporter, retailer and final consumer. Findings revealed a current lack of extensive and detailed information from upper tiers regarding products’ characteristics. Despite being hyped as a “trust-enabling” technology, BCT was found not to eliminate the need for trustful relationships between players prior to adoption, as information input requires human intervention. Even in those cases when the traceability option is not of major interest to final consumers, findings revealed a higher probability of purchasing fish products that have traceable information available.
Early maladaptive schema domains and suicide risk in major depressive disorder: the mediating role of patients’ illness-related self-regulation processes and symptom severity
Authors: Mavroeides Giorgos , Basta Maria , Vgontzas Alexandros , Karademas Evangelos , Simos Panagiotis , Koutra Katerina 
Published: April 2023

AbstractEarly maladaptive schemas (EMS), illness representations, and coping are associated with clinical outcomes of patients with major depressive disorder (MDD). However, the pathways that link these factors are largely unknown. The present prospective study aimed at investigating the possible mediating role of illness representations and coping in the associations among schema domains, symptom severity, and suicide risk in MDD. Participants were 135 patients diagnosed with MDD, aged 48.13 ± 14.12 (84.4% females). The Young Schema Questionnaire-Short Form 3 was used to measure schema domains at baseline. Illness representations and coping were measured at approximately five months later (mean = 5.04 ± 1.16 months) with the Illness Perception Questionnaire-Mental Health and the Brief COPE Inventory, respectively. MDD outcomes were measured about 10 months after the baseline assessment (mean = 9.44 ± 2.36 months) with the Beck Depression Inventory and the Risk Assessment Suicidality Scale. SPSS AMOS 27 was used to conduct path analysis. Serial mediation Structural Equation Modelling, controlling for age, education, marital status, working status, MDD duration, pharmacotherapy, and psychotherapy, revealed that Impaired Autonomy and Performance was positively linked to suicide risk. Negative MDD impact representations and symptom severity serially mediated the aforementioned association. Finally, problem-focused coping was negatively related to symptom severity and suicide risk. This study’s main limitation was modest sample size. Representations regarding the impact and severity of MDD mediate the effects of Impaired Autonomy and Performance on future suicide risk in MDD. Healing Impaired Autonomy and Performance domain of EMS, restructuring patients’ representations of high MDD impact, and enhancing problem-focused coping could significantly reduce symptom severity and suicide risk in Schema Therapy with MDD individuals.