bluuebunny/crossref_metadata_2025_split huggingface dataset:
A computational study to identify Sesamol derivatives as NRF2 activator for protection against drug-induced liver injury (DILI)
Authors: Mili Ajay , Birangal Sumit , Nandakumar Krishnadas , Lobo Richard 
Published: July 2023

AbstractDrug-induced liver injury can be caused by any drugs, their metabolites, or natural products due to the inefficient functioning of drug-metabolizing enzymes, resulting in reactive oxygen species generation and leading to oxidative stress-induced cell death. For protection against oxidative stress, our cell has various defense mechanisms. One of the mechanisms is NRF2 pathway, when activated, protects the cell against oxidative stress. Natural antioxidants such as Sesamol have reported pharmacological activity (hepatoprotective & cardioprotective) and signaling pathways (NRF2 & CREM) altering potential. A Computational analysis was done using molecular docking, IFD, ADMET, MM-GBSA, and Molecular dynamic simulation of the Schrödinger suite. A total of 63,345 Sesamol derivatives were downloaded for the PubChem database. The protein structure of KEAP1-NRF2 (PDB: 4L7D) was downloaded from the RCSB protein database. The molecular docking technique was used to screen compounds that can form an interaction similar to the co-crystalized ligand (1VX). Based on MM-GBSA, docking score, and interactions, ten compounds were selected for ADMET profiling and IFD. After IFD, five compounds (66867225, 46148111, 12444939, 123892179, & 94817569) were selected for molecular dynamics simulation (MDS). Protein–ligand complex stability was assessed during MDS. The selected compounds (66867225, 46148111, 12444939, 123892179, & 94817569) complex with KEAP1 protein shows good stability and bond retentions. In our study, we observed that the selected compounds show good interaction, PCA, Rg, binding free energy, and ADMET profile. We can conclude that the selected compounds can act as NRF2 activators, which should be validated using proper in-vivo/in-vitro models.
Graphical abstract
A qualitative exploration of chronic pain management of older adults in remote and rural settings
Authors: Jebara Tesnime , Youngson Elaine , Drummond Natalie , Rushworth Gordon , Pfleger Sharon , Rudd Ian , MacLeod John , Wilson Martin , Bailey Nicola , Cunningham Scott 
Published: July 2023

Abstract
Background
The World Health Organization predicts that the number of older adults will nearly double between 2015 and 2050. Older adults are at a higher risk of developing medical conditions such as chronic pain. However, there is little information about chronic pain and its management in older adults especially those residing in remote and rural areas.

Aim
To explore views, experiences, and behavioural determinants of older adults regarding chronic pain management in remote and rural settings in Scottish Highlands.

Method
Qualitative one-to-one telephone interviews were conducted with older adults with chronic pain residing in remote and rural areas in the Scottish Highlands. The interview schedule was developed by the researchers, validated, and piloted prior to use. All interviews were audio-recorded, transcribed, and independently thematically-analysed by two researchers. Interviews continued until data saturation.

Results
Fourteen interviews were conducted with three key themes emerging: views and experiences with chronic pain, need to enhance pain management, and perceived barriers to pain management. Overall, pain was reported as severe and negatively impacted lives. Majority of interviewees used medicines for pain relief but noted that their pain was still poorly controlled. Interviewees had limited expectation for improvement since they considered their condition a normal consequence of ageing. Residing in remote and rural areas was perceived to complicate access to services with many having to travel long distances to see a health professional.

Conclusion
Chronic pain management in remote and rural areas remains a significant issue among older adults interviewed. Thus, there is a need to develop approaches to improve access to related information and services.
Price commitment and the strategic launch of a fighter brand
Authors: Jost Peter-J. 
Published: July 2023

AbstractWe consider a vertically differentiated market where an incumbent strategically wants to launch a fighter brand to thwart a new entrant. Without a credibly commitment this launch is ineffective because the incumbent always has an incentive to price the fighter brand ex-post out of the market. Endogenous price leadership with fixed or list price announcement, and dual channeling with an intermediary retailer to distribute the fighter brand are analyzed as commitment devices. The optimal mode then depends on customers’ sensitivities to a deviation from the price announcement as well as on the attractiveness of the underlying market.
Migration governance through trade agreements: insights from the MITA dataset
Authors: Lavenex Sandra , Lutz Philipp , Hoffmeyer-Zlotnik Paula 
Published: July 2023

AbstractStates struggle to establish multilateral cooperation on migration – yet they include more and more migration provisions in preferential trade agreements (PTAs). This article sheds light on this phenomenon by introducing the Migration Provisions in Preferential Trade Agreements (MITA) dataset. Covering 797 agreements signed between 1960 and 2020, this dataset offers a fine-grained coding of three types of migration provisions: those that facilitate the international mobility of service providers and labor migrants, protect migrant rights, and control unauthorized migration. Against the backdrop of limping multilateralism, we examine PTAs’ migration policy content with regard to two key cooperation dilemmas: conflicts of interest within developed countries and between them and developing countries. Facilitating business and labor mobility might be a possible way around the first dilemma, commonly referred to as the ‘liberal paradox': the tension between economic demands for openness and political calls for closure. Nevertheless, this facilitation is largely limited to highly skilled migrants and agreements between developed economies. Provisions for migration control tend to be included in agreements between developed and developing countries, which signals that states use issue-linkages to address the second dilemma, i.e. interest asymmetries. Finally, provisions for migrant rights stand out because they do not deepen over time. Our findings suggest that while PTAs have become an increasingly common venue for migration governance, the issue-linkage between trade and migration cooperation perpetuates entrenched divisions in the international system. The MITA dataset will allow researchers and policymakers to track the evolution of the trade-migration nexus and systematically investigate the motives for and effects of various migration provisions in PTAs.
On the stability and convergence of a semi-discrete discontinuous Galerkin scheme to the kinetic Cucker–Smale model
Authors: Gargano Francesco , Ha Seung-Yeal , Sciacca Vincenzo 
Published: July 2023

AbstractWe study analytical properties of a semi-discrete discontinuous Galerkin (DG) scheme for the kinetic Cucker–Smale (CS) equation. The kinetic CS equation appears in the mean-field limit of the particle CS model and it corresponds to the dissipative Vlasov type equation approximating the large particle CS system. For this proposed DG scheme, we show that it exhibits analytical properties such as the conservation of mass, $$L^2$$

L
2

-stability and convergence to the sufficiently regular solution, as the mesh-size tends to zero. In particular, we verify that the convergence rate of the DG numerical solution to the sufficiently regular kinetic solution is dependent on the Sobolev regularity of the kinetic soluiton. We also present several numerical simulations for low-dimensional cases.
IMAGINE sustainability: integrated inner-outer transformation in research, education and practice
Authors: Ives Christopher D. , Schäpke Niko , Woiwode Christoph , Wamsler Christine 
Published: July 2023

AbstractThere has been a recent proliferation of research and practice on the interior dimensions of sustainability, such as values, beliefs, worldviews and inner capacities. This nascent field of inner transformation is dynamic and emerging, with varied terminology, a breadth of applications, and intense debate about possible contributions as well as limitations and shortcomings. In this article, we aim to provide some orientation by systematising the core contributions of the emerging domain of inner transformation research via the acronym IMAGINE. We show that ontologically, inner transformation research highlights (i) the Interdependence of inner/outer and individual/collective/system phenomena, as well as (ii) the Multiple potential that is latent within each of us to enable transformative change. Correspondingly, it underscores the implications of inner phenomena for sustainability and related action-taking, particularly through: (iii) the Activation of inner dimensions across individual, collective and system levels, and (iv) the Generation of inner transformative capacities through intentional practices. Epistemologically, this necessitates the (v) INclusion of diverse perspectives, required for (vi) Expanding knowledge systems for sustainability. The presented heuristic offers a framework to systematically support and guide sustainability researchers, educators and practitioners to incorporate inner transformation into their work, which is a key requirement for sustainability outcomes and necessary to effectively formulate related policy frameworks.
Acute Pain and Development of Opioid Use Disorder: Patient Risk Factors
Authors: Baumann Livia , Bello Corina , Georg Filipovic Mark , Urman Richard D. , Luedi Markus M. , Andereggen Lukas 
Published: July 2023

Abstract
Purpose of Review
Pharmacological therapy for acute pain carries the risk of opioid misuse, with opioid use disorder (OUD) reaching epidemic proportions worldwide in recent years. This narrative review covers the latest research on patient risk factors for opioid misuse in the treatment of acute pain. In particular, we emphasize newer findings and evidence-based strategies to reduce the prevalence of OUD.

Recent Findings
This narrative review captures a subset of recent advances in the field targeting the literature on patients’ risk factors for OUD in the treatment for acute pain. Besides well-recognized risk factors such as younger age, male sex, lower socioeconomic status, White race, psychiatric comorbidities, and prior substance use, additional challenges such as COVID-19 further aggravated the opioid crisis due to associated stress, unemployment, loneliness, or depression.

Summary
To reduce OUD, providers should evaluate both the individual patient’s risk factors and preferences for adequate timing and dosing of opioid prescriptions. Short-term prescription should be considered and patients at-risk closely monitored. The integration of non-opioid analgesics and regional anesthesia to create multimodal, personalized analgesic plans is important. In the management of acute pain, routine prescription of long-acting opioids should be avoided, with implementation of a close monitoring and cessation plan.
Positive solutions for a class of nonlinear parametric Robin problems
Authors: Gasiński Leszek , Papageorgiou Nikolaos S. , Zhang Youpei 
Published: July 2023

AbstractWe consider a nonlinear Robin problem driven by the p-Laplacian and a parametric concave-convex reaction with the parameter multiplying the convex (superlinear) term. We prove a multiplicity result for positive solutions which is global in the parameter $$\lambda >0$$

λ
>
0

(bifurcation-type theorem). We also show the existence of a minimal positive solution $$u_{\lambda }^*$$

u

λ

∗

and determine the monotonicity and continuity properties of the map $$\lambda \longmapsto u_{\lambda }^*$$

λ
⟼

u

λ

∗
Parametrization of the p-Weil–Petersson Curves: Holomorphic Dependence
Authors: Wei Huaying , Matsuzaki Katsuhiko 
Published: July 2023

AbstractSimilar to the Bers simultaneous uniformization, the product of thep-Weil–Petersson Teichmüller spaces for$$p \ge 1$$p≥1provides the coordinates for the space ofp-Weil–Petersson embeddings$$\gamma $$γof the real line$${\mathbb {R}}$$Rinto the complex plane$${\mathbb {C}}$$C. We prove the biholomorphic correspondence from this space to thep-Besov space of$$u=\log \gamma '$$u=logγ′on$${\mathbb {R}}$$Rfor$$p>1$$p>1. From this fundamental result, several consequences follow immediately which clarify the analytic structures concerning parameter spaces ofp-Weil–Petersson curves. Specifically, it implies that the correspondence of the Riemann mapping parameters to the arc-length parameters preserving the images of curves is a homeomorphism with bi-real-analytic dependence of the change of parameters. This is analogous to the classical theorem of Coifman and Meyer for chord-arc curves.
Longevity of the whitefly parasitoid Eretmocerus eremicus under two different climate scenarios
Authors: Milenovic Milan , Ripamonti Matteo , Eickermann Michael , Rapisarda Carmelo , Junk Jürgen 
Published: July 2023

AbstractWhiteflies (Aleyrodidae) cause high economic losses in agricultural systems worldwide. Heavy reliance on insecticide use for whitefly control has led to the resistance development towards nearly all used groups of insecticides. A more sustainable, widely used, and irreplaceable control measure in protected cropping systems is biological control by augmentative release of parasitoids. All commercially available whitefly parasitoids are wasps from the genera Encarsia and Eretmocerus, with one of the most used parasitoid species being Eretmocerus eremicus. Biocontrol by these highly specialized natural enemies is sensitive to changes in environmental conditions. Ongoing anthropogenic climate change could affect multitrophic interactions between organisms, and biocontrol systems are not an exception. At the same time, little is known about the development of E. eremicus under projected future climate conditions. The present study evaluates the longevity of this important biocontrol agent by performing climatic chamber simulation driven by physically consistent, regionally downscaled, multi-model ensemble projections of the future climate for Luxembourg. Results show a reduction of its longevity up to 50% under future climate. The median survival in the projected future climate was found to be 13 days, which is 9 days less than under present climate. Implications on the efficacy of the whitefly biocontrol practices in future climate conditions are discussed.
Enhancing energy system models using better load forecasts
Authors: Möbius Thomas , Watermeyer Mira , Grothe Oliver , Müsgens Felix 
Published: July 2023

AbstractSince energy system models require a large amount of technical and economic data, their quality significantly affects the reliability of the results. However, some publicly available data sets, such as the transmission system operators’ day-ahead load forecasts, are known to be biased and inaccurate, leading to lower energy system model performance. We propose a time series model that enhances the accuracy of transmission system operators’ load forecast data in real-time, using only the load forecast error’s history as input. We further present an energy system model developed specifically for price forecasts of the short-term day-ahead market. We demonstrate the effectiveness of the improved load data as input by applying it to this model, which shows a strong reduction in pricing errors, particularly during periods of high prices and tight markets. Our results highlight the potential of our method the enhance the accuracy of energy system models using improved input data.
Ritanserin suppresses acute myeloid leukemia by inhibiting DGKα to downregulate phospholipase D and the Jak-Stat/MAPK pathway
Authors: Tan Jinshui , Zhong Mengya , Hu Yanyan , Pan Guangchao , Yao Jingwei , Tang Yuanfang , Duan Hongpeng , Jiang Yuelong , Shan Weihang , Lin Jiaqi , Liu Yating , Huang Jiewen , Zheng Huijian , Zhou Yong , Fu Guo , Li Zhifeng , Xu Bing , Zha Jie 
Published: July 2023

AbstractRefractory or relapsed (R/R) AML is the most challenging form of AML to treat. Due to frequent genetic mutations, therapy alternatives are limited. Here, we identified the role of ritanserin and its target DGKα in AML. Several AML cell lines and primary patient cells were treated with ritanserin and subjected to cell proliferation, apoptosis and gene analyses with CCK-8 assay, Annexin V/PI assay and Western blotting, respectively. We also evaluated the function of the ritanserin target diacylglycerol kinase alpha (DGKα) in AML by bioinformatics. In vitro experiments have revealed that ritanserin inhibits AML progression in a dose- and time-dependent manner, and it shows an anti-AML effect in xenograft mouse models. We further demonstrated that the expression of DGKα was elevated in AML and correlated with poor survival. Mechanistically, ritanserin negatively regulates SphK1 expression through PLD signaling, also inhibiting the Jak-Stat and MAPK signaling pathways via DGKα. These findings suggest that DGKα may be an available therapeutic target and provide effective preclinical evidence of ritanserin as a promising treatment for AML.
Genetically caused trait is an interactive kind
Authors: Kõiv Riin 
Published: July 2023

AbstractIn this paper I argue that the extent to which a human trait is genetically caused can causally depend upon whether the trait is categorized within human genetics as genetically caused. This makes the kindgenetically caused traitan interactive kind. I demonstrate that this thesis is both conceptually coherent and empirically plausible. I outline the core rationale of this thesis and demonstrate its conceptual coherence by drawing upon Waters’ (2007) analysis of genetic causation. I add empirical plausibility to the thesis by describing a hypothetical but empirically plausible mechanism by which the fact that obesity is categorized as genetically caused within human genetics increases the extent to which obesity is in fact genetically caused.
Social kinds: historical and multi-functional
Authors: Guala Francesco 
Published: July 2023

AbstractThe notion of multi-functional kind is introduced to explain how social scientists may be able to draw inferences across historically unrelated societies or cultures. Multi-functional kinds are neither eternal nor purely historical, support non-trivial inductive generalisations, and allow to overcome scepticism about the inductive potential of multiply realised (functional) properties. Two examples, from monetary economics and anthropology, provide support for a pluralistic ontology of the social world.
A Longitudinal Analysis of Informal Digital Learning of English, Willingness to Communicate and Foreign Language Boredom: A Latent Change Score Mediation Model
Authors: Taherian Tahereh , Shirvan Majid Elahi , Yazdanmehr Elham , Kruk Mariusz , Pawlak Mirosław 
Published: July 2023

AbstractThe present research used a longitudinal framework to test a model of willingness to communicate (L2WTC), informal digital learning of English (IDLE), and foreign language boredom (FLB) in learning English as a foreign language among 325 Iranian university students attending a course in general English for 4 months via a latent change score mediation (LCSM) model. Overall, model indices showed an acceptable model fit for the LCSM model. There was a significant and positive constant growth in IDLE and L2WTC, a negative constant growth in FLB across four measurements, while the proportional change was significant and negative for all three variables. The significant interindividual and intraindividual differences in patterns of growth across time were found for the three variables. Also, moderate and positive cross-system associations were revealed between IDLE and L2WTC across four measurements. Moreover, moderate and negative cross-system associations were revealed between FLB and L2WTC as well as between IDLE and L2WTC. Furthermore, changes in FLB mediated subsequent associations between changes in IDLE and L2WTC. The results highlight the pivotal role of variations in FLB as a mediator for the longitudinal link between IDLE and L2WTC.
The precedence function: a numerical evaluation method for multicriteria ranking problems
Authors: Villar Antonio 
Published: July 2023

AbstractThis paper proposes and characterizes a method to solve multicriteria evaluation problems when individual judgements are categorical and may fail to satisfy both transitivity and completeness. The evaluation function consists of a weighted sum of the average number of times that each alternative precedes some other, in all pairwise comparisons. It provides, therefore, a quantitative assessment which is well-grounded, immediate to compute, and easy to understand.
Commentary: Is There a Lack of Insight on the Anatomy Teaching Adaptations Made by “Cadaver-Free” Medical Schools in Response to the COVID-19 Pandemic?
Authors: Patera Eleni 
Published: July 2023

AbstractThe COVID-19 pandemic negatively impacted anatomy education as it ceased face-to-face anatomy teaching sessions and laboratory practicals. In the past 2 years, a growing body of literature has been dedicated to the adaptations made in the teaching of anatomy predominantly by medical schools who employ cadaveric dissection and prosection-based practicals to teach anatomy. Despite this, there is dearth of evidence in terms of the challenges that medical schools who do not use cadaveric dissection or prosected specimens to teach anatomy faced as well as the adaptations they made in response to the pandemic.
A Cohort Study Assessing the Impact of Anki as a Spaced Repetition Tool on Academic Performance in Medical School
Authors: Gilbert Michael M. , Frommeyer Timothy C. , Brittain Garrett V. , Stewart Nickolas A. , Turner Todd M. , Stolfi Adrienne , Parmelee Dean 
Published: July 2023

Abstract
Introduction
Anki is an application that capitalizes upon the techniques of spaced repetition and is increasingly utilized by medical students for examination preparation. This study examines the impact of Anki usage in a medical school curriculum on academic performance. Secondary objectives analyzed individual Anki utilization and a qualitative assessment of Anki use.

Methods
A cohort-control study was conducted at Boonshoft School of Medicine. One hundred thirty first-year medical students were enrolled in an Anki utilization training program from July 2021 to September 2021. Training included educational Anki courses and subsequent survey data collection over Anki usage. Data variables included all course final examinations, the Comprehensive Basic Science Exam (CBSE), individual Anki user statistics, nationally standardized exams scores, and Qualtrics surveys on student perceived ease of use.

Results
Seventy-eight students reported using Anki for at least one of the exams, and 52 students did not use Anki for any exam. Anki users scored significantly higher across all four exams: Course I (6.4%; p < 0.001); Course II (6.2%; p = 0.002); Course III (7.0%; p = 0.002); and CBSE (12.9%; p = 0.003). Students who reported higher dependency on Anki for studying performed significantly better on the Course I, II, and CBSE exams.

Conclusion
Anki usage may be associated with an increase in standardized examination scores. This supports Anki as an evidence-based spaced repetition and active retrieval learning modality for medical school standardized examinations. There was little correlation between its specific statistical markers and examination performance. This is pertinent to physicians and medical students alike as the learning and preservation of biomedical knowledge is required for examinations and effective clinical care.