bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessing early therapeutic drug monitoring of adalimumab as a predictor of treatment efficacy and immunogenicity in rheumatic diseases: “early therapeutic drug monitoring of adalimumab”
Authors: Ortiz-Fernández Patricia , Iniesta-Navalón Carles , Urbieta-Sanz Elena , Gascón-Cánovas Juan José 
Published: January 2025

Abstract

Introduction
Therapeutic drug monitoring (TDM) in inflammatory rheumatic diseases (RMDs) is gaining interest. However, there are unresolved questions about the best practices for implementing TDM effectively in clinical settings.

Objective
The primary objective of this study was to evaluate whether early TDM of adalimumab predicts drug survival at 52 weeks in patients with RMDs. The secondary objective was to identify factors associated with pharmacokinetic failure and treatment discontinuation.

Methods
A retrospective cohort study included patients aged ≥ 18 years with RMDs who initiated adalimumab therapy. Early TDM was performed within the first 26 weeks, and adalimumab trough levels (ATL) and anti-drug antibodies were measured. Drug survival was assessed at 52 weeks and defined as the time from adalimumab initiation to discontinuation for any reason. Multivariate analyses were conducted to identify factors influencing outcomes.

Results
The study included 194 patients, of whom 56.7% exhibited ATL below the therapeutic range during the first 26 weeks. In the multivariate analysis, subtherapeutic concentrations were significantly associated with higher weight (OR = 1.02; p = 0.040) and ankylosing spondylitis diagnosis (OR = 3.68; p < 0.001). At 52 weeks, 43.8% of patients had discontinued adalimumab. Low ATL (< 1 µg/mL) was strongly associated with treatment discontinuation (OR = 7.31; p < 0.001), while concomitant methotrexate reduced this risk (OR = 0.46; p = 0.026).

Conclusions
Early TDM of adalimumab predicts drug persistence and underscores its clinical relevance as a proactive tool to guide personalized treatment and reduce the risk of treatment failure. These findings highlight the importance of incorporating TDM into routine practice to optimize therapeutic outcomes.

Key Points• Early TDM of adalimumab in rheumatic diseases shows that low drug exposure predicts reduced drug survival at 52 weeks.• Approximately half of the patients exhibit low adalimumab exposure with the standard dose (40 mg every other week).• Body weight and methotrexate use significantly impact adalimumab levels.• Immunogenicity, found in 14.4% of patients with low ADL levels, underscores the need for early ADA detection to prevent non-response and discontinuation.
A place in the shade? Shaded spaces as a domain of geographical research: a literature review (1990–2024)
Authors: Gabellieri Nicola 
Published: January 2025

Abstract
The study of shade and shaded spaces has attracted growing interest in a number of disciplines. Although geographic studies specifically focused on this subject are relatively rare, there is a substantial body of interdisciplinary research that addresses the theme of shade in relation to ecological, urban, medical and social research interests. There have recently been calls to further analyze these spaces, especially if we consider their importance in relation to climate change. In response to this, this paper aims to examine shade as a field of geographical research through a literature review. Ninety-four articles published in international journals between 1990 and 2024 were identified. The articles were analyzed with particular reference to the distribution in time of the publications, the geographic location of the case studies, interdisciplinary connections, research interests, and the methodologies used. The study reveals the interdisciplinary nature of shade studies and their growth in recent years. The literature analysis enables us to identify dominant research trends and at the same time highlight certain gaps. The study also emphasizes the value of shade as a resource, its many benefits, and its environmental and social significance as a geographical factor at various levels. In conclusion, this paper seeks to bring the topic of shade to the forefront of research, encouraging further empirical studies with a particular focus on the right to shade and climate change mitigation.
Depersonalization, Alienation, and Depresentation in Husserl and Beyond
Authors: Fazakas István 
Published: January 2025

Abstract
In a late manuscript, Husserl explicitly addresses the problem of depersonalization. Depersonalization is described as a rupture in a certain layer of experience, which, however, does not touch the fundamental unity of the underlying genesis. After a brief recapitulation of historical approaches to depersonalization, I’ll come to comment on this passage. To assess Husserl’s contribution to the clinical understanding, and more specifically to the phenomenology of depersonalization, it is essential to understand his concept of personhood. In Husserl’s account of personhood, we can identify a tension between the unity and continuity of the transcendental genesis of the personal ego and the self-alienation and de-presentation at play in this genesis. Drawing on the French reception of Husserl’s phenomenology and Eugen Fink’s notion of de-presentation, I suggest that transcendental temporalization not only cannot function as a fail-safe in the case of depersonalization but may even be at the core of the loss of the sense of personhood. To account for the fact of personalization, one must re-evaluate the notion of empathy in the relation of the self to itself.
Performance Comparison of ROS2 Middlewares for Multi-robot Mesh Networks in Planetary Exploration
Authors: Chovet Loïck Pierre , Garcia Gabriel Manuel , Bera Abhishek , Richard Antoine , Yoshida Kazuya , Olivares-Mendez Miguel Angel 
Published: January 2025

Abstract
Recent advancements in Multi-Robot Systems (MRS) and mesh network technologies pave the way for innovative approaches to explore extreme environments. The Artemis Accords, a series of international agreements, have further catalyzed this progress by fostering cooperation in space exploration, emphasizing the use of cutting-edge technologies. In parallel, companies across various sectors’ widespread adoption of the Robot Operating System 2 (ROS 2) underscores its robustness and versatility. This paper evaluates the performances of available ROS 2 MiddleWare (RMW), such as FastRTPS, CycloneDDS and Zenoh, over a mesh network with a dynamic topology. The final choice of RMW is determined by the one that would most fit the scenario: an exploration of the extreme extra-terrestrial environment using a Multi-Robot Systems (MRS). The conducted study in a real environment highlights Zenoh as a potential solution for future applications, showing a reduced delay, reachability, data overhead and CPU usage while being competitive on the RAM usage over a dynamic mesh topology.
Design Optimisation of Fully Actuated UAVs Using Hybrid Optimisation
Authors: Al-zubaidi Salim , Stol Karl 
Published: January 2025

Abstract
During the past few years, there has been a rise in novel fully actuated multirotor UAV configurations, each customised to perform a different task. These configurations must be optimised to extract their full potential for the different use cases. The main issue with existing optimisation methods is the computational cost required to produce a design when the optimisation includes both continuous and discrete variables, such as off-the-shelf components. We propose a hybrid optimisation method using continuous surrogate methods with localised parameter sweep. The continuous stage aims at finding the optimal value for the continuous design variables and reduces the search space for the discrete design variables. Empirical models for the off-the-shelf components are used to reduce the size of the continuous stage of the optimisation. The localised search method consists of a parameter sweep of the discrete design variables within a certain threshold of the optimal parameters from the first stage. Three case studies confirm the method’s capabilities with different configurations and optimisation setups, comparing optimality, success rate and computational cost. The optimal design from the hybrid method is consistent with the baseline methods used for comparison within each case study, with a minimum success rate of 30% while reducing cost by 98%. Compared to specialised discrete methods, the improvement in computational cost is inconsistent; however, it achieves a reduction of 99.3% with certain design requirements. A comparison to another hybrid method was also performed, with the proposed method maintaining its cost, optimality and success rate better than the SQP-DSS method when increasing method complexity.
A Hybrid Biologically-Inspired Optimization Algorithm for Data Gathering in IoT Sensor Networks
Authors: Kponhinto Gérard , Khemiri-Kallel Sondès , Abba Ari Ado Adamou , Gueroui Abdelhak Mourad , Thiare Ousmane , Hwang Junseok 
Published: January 2025

Abstract
The wireless sensor networks are autonomous Ad hoc Networks that form the backbone of IoT technology. Their vital role is to collect data from their physical environments and transfer these data to the Base Station (BS). This task implies high energy consumption when a suitable data routing policy is not applied. Then, the data collection method determines the efficiency of WSNs. Moreover, the IoT-based applications that require the mobility of the IoT sensor nodes introduce a new challenge regarding network connectivity. The IoT sensor node’s mobility leads to regular changes in the network topology, resulting in high packet loss during communication. The management of network energy use in order to prolong the battery life of IoT sensor nodes is a crucial issue, as IoT sensor nodes possess limited battery capacity. This paper addresses these issues by proposing an efficient Hybrid Biologically-Inspired Optimization Algorithm, named HBIP, for Data Gathering in IoT Sensor Networks. The flagship idea of the HBIP algorithm is to incorporate the swarming stage of the Bacterial Foraging Optimization (BFO) into the Artificial Bee Colony (ABC) Optimization’s exploitation phase. Simulation results show that the HBIP protocol outperforms the LEACH protocol and ABC and BFO metaheuristics regarding network energy consumption, lifetime, and data packets received at the BS. In practice, we demonstrated that the HBIP protocol increases the data collection by

$$84.40\%$$

84.40
%

over LEACH,

$$19.43\%$$

19.43
%

over BFO, and

$$7.26\%$$

7.26
%

over ABC in the network scenario considered. Further on, we extend the study of the HBIP algorithm on Mobile IoT Sensor Networks by proposing a Multi-Objective Optimization-based Data Gathering Protocol (MOO-DGP). The MOO-DGP protocol employs the HBIP algorithm to determine the best solution that balances Velocity, Cluster Stability, Link Quality, and Energy Consumption. An extensive evaluation of the MOO-DGP protocol shows it outperforms the existing Mobility-Based Clustering (MBC) protocol regarding effective data packet delivery rate, average control overhead, network lifespan, and energy consumption.
The role of MEGF10 in myoblast fusion and hypertrophic response to overload of skeletal muscle
Authors: Richardson Louise , Hughes Ruth , Johnson Colin A. , Egginton Stuart , Peckham Michelle 
Published: January 2025

Abstract
Biallelic mutations in multiple EGF domain protein 10 (MEGF10) gene cause EMARDD (early myopathy, areflexia, respiratory distress and dysphagia) in humans, a severe recessive myopathy, associated with reduced numbers of PAX7 positive satellite cells. To better understand the role of MEGF10 in satellite cells, we overexpressed human MEGF10 in mouse H-2k

b
-tsA58 myoblasts and found that it inhibited fusion. Addition of purified extracellular domains of human MEGF10, with (ECD) or without (EGF) the N-terminal EMI domain to H-2k

b
-tsA58 myoblasts, showed that the ECD was more effective at reducing myoblast adhesion and fusion by day 7 of differentiation, yet promoted adhesion of myoblasts to non-adhesive surfaces, highlighting the importance of the EMI domain in these behaviours. We additionally tested the role of Megf10 in vivo using transgenic mice with reduced (Megf10
+/−) or no (Megf10
−/−) Megf10. We found that the extensor digitorum longus muscle had fewer anti-Pax7 stained cell nuclei and was less able to undergo hypertrophy in response to muscle overload concomitant with a lower level of satellite cell activation. Taken together, our data suggest that MEGF10 may promote satellite cell adhesion and survival and prevent premature fusion helping to explain its role in EMARDD.
Lactulose use among patients with alcohol-related liver cirrhosis as a surrogate marker of hepatic encephalopathy: prevalence and association with mortality - a Danish nationwide cohort study
Authors: Herting Emma Celia , Jensen Morten Daniel , Jepsen Peter 
Published: January 2025

Abstract

Background & aims: Hepatic encephalopathy (HE), one of the most serious prognostic factors for mortality in alcohol-related cirrhosis (ALD cirrhosis), is not recorded in Danish healthcare registries. However, treatment of HE with lactulose, the universal first-line treatment, can be identified through data on filled prescriptions. This study aimed to investigate if lactulose can be used as a surrogate marker of HE. Methods: We used Danish healthcare registries to establish a cohort of patients with ALD cirrhosis diagnosed in 2000–2018. Lactulose users were identified using data on filled prescriptions. We computed the prevalence and cumulative incidence of lactulose use, and then matched lactulose users with cohort members who were not using lactulose. This matched dataset was used to identify predictors of lactulose initiation, and to examine the association between lactulose use and all-cause mortality. Results: We included 23,089 patients, among whom we identified 4,789 first-time lactulose users. The prevalence of lactulose usage rose to 11% within the first 6 months after ALD diagnosis and reached 19% 5 years after inclusion. The 1-year cumulative incidence of lactulose use was 31%, and predictors of initiating lactulose use were history of severe liver disease (ascites, portal hypertension, spontaneous bacterial peritonitis or gastrointestinal bleeding) or hepatocellular carcinoma. Lactulose use was associated with higher mortality (adjusted hazard ratio 1.61 [95% confidence interval 1.53; 1.69]). Conclusions: Lactulose is used by 10–20% of patients with ALD cirrhosis, primarily those with severe cirrhosis, and lactulose users have a markedly higher mortality than nonusers. We conclude that lactulose use can be used to estimate the prevalence of HE and to reduce confounding from HE, but it should not be used as a surrogate for HE in studies with HE as an outcome.
Greenhouse gas emissions from dry season rice irrigation in Bangladesh
Authors: Maniruzzaman Md. , Biswas Jatish Chandra , Hossain Md. Belal , Mainuddin Mohammed , Roy Debjit , Yesmin Mst. Shetara , Kundu Palash Kumar , Haque Md. Mozammel 
Published: January 2025

Abstract
Pumping groundwater for irrigation in Bangladesh is a major energy-consuming process and mostly depends on diesel fuel, which is related to greenhouse gas (GHG) emissions. But that issue has not yet been addressed in Bangladesh. `In this study, we have estimated GHG emissions for dry season (DS) irrigated rice considering all irrigation devices with their lifting heads, area coverage, and water sources (surface and groundwater) and power sources (diesel and electricity) during 2019–2020. GHG emissions varied with locations, sources of irrigation, fuel and water sources used. Irrigation water driven GHG emission in Bangladesh is about 2.27 million tons (Mt) CO2e DS−1, which is about only 4% of agricultural sector GHG emission. Groundwater pumps contributed the lion shares (2.04 Mt CO2e DS−1), and surface water pumps contributed only 0.23 Mt CO2e DS−1. Based on the GHG emissions, Rajshahi Division is the main hotspot followed by Rangpur and Mymensingh Divisions, because of intensive groundwater used in these areas. Current deep tubewells (DTWs), shallow tubewells (STWs) and low lift pumps (LLPs) area coverage is about 19.2%, 56.8% and 24.0% of the total cultivable areas of the country; but it contributes about 49.1%, 40.6% and 10.3% of emitted GHG, respectively. The results revealed that withdrawal of groundwater is an important source of GHG emission. Therefore, expansion of surface water irrigation facilities with the adoption of different improved distribution systems, water and energy saving technologies like alternate wetting and drying practices, conservation agriculture along with water use-efficient varieties for rice cultivation can be promoted for reducing GHG emission.
Who climbs Mount Everest? Individual differences in achieving difficult goals
Authors: Waldenmeier Karla , Baumann Nicola 
Published: January 2025

Abstract
Who are the people that manage to achieve even their most difficult goals? According to Personality Systems Interactions (PSI) theory (Kuhl, 2000, A functional-design approach to motivation and self- regulation: The dynamics of personality systems interactions; Kuhl, 2001, Motivation und Persönlichkeit: Interaktionen psychischer systeme [Motivation and personality: Interactions of psychological systems]; Kuhl et al., 2021, The functional architecture of human motivation: Personality systems interactions theory), they are action-oriented individuals, who– contrary to state-oriented individuals– excel in self-regulation, effectively translating intentions into action. To investigate differences in goal achievement of action-state orientation, our study considered a theoretically important combination of constraints that has not been examined so far. In a longitudinal study (N = 199), we assessed participants’ self-generated goals for the upcoming weeks as well as the difficulty of these goals. After four weeks, we measured the achievement of these goals. We analyzed data using multi-level methods. Consistent with expectations, action versus state orientation moderated the relationship between goal difficulty and achievement, with action-oriented individuals achieving more difficult goals than state-oriented individuals. Our findings provide empirical support for a central theoretical assumption regarding goal achievement in action-state orientation.
Home-based mirror therapy in phantom limb pain treatment: the augmented humans framework
Authors: Marullo Giorgia , Innocente Chiara , Ulrich Luca , Lo Faro Antonio , Porcelli Annalisa , Ruggieri Rossella , Vecchio Bruna , Vezzetti Enrico 
Published: January 2025

Abstract
The “Augmented Humans” term refers to the opportunity to improve human possibilities by using innovative technologies such as Artificial Intelligence (AI) and Extended Reality (XR). Digital therapies, particularly suitable for those treatments requiring multiple sessions, are increasingly being adopted for home-based treatment, enabling continuous monitoring and rehabilitation for patients, thus alleviating the burden on healthcare facilities by facilitating remote therapy sessions and follow-up visits. Among these, the Mirror Therapy (MT) for patients suffering from Phantom Limb Pain (PLP) could benefit greatly. This paper proposes a novel “Augmented Humans” framework for the treatment of PLP through home-based MT; the framework is designed to consider the activities carried on by the therapy center, the patient, and the system supporting the treatment. Moreover, an XR-based solution that integrates a Deep Learning (DL) approach has been developed to provide patients with a self-testing and self-assessment tool for conducting at-home rehabilitation sessions independently, even in the absence of physical medical staff. The DL algorithm enables real-time monitoring of rehabilitation exercises and automatic provision of personalized feedback on the gesture’s performance, supporting the progressive improvement of the patient’s movements and his ability to adhere to the treatment plan. The technical feasibility and usability of the proposed framework have been evaluated with 23 healthy subjects, highlighting an overall positive user experience. Remarkable results were obtained in terms of automatic gesture evaluation, with macro averaged accuracy and F1-score of 95%, paving the way for the adoption of the “Augmented Humans” approach in the healthcare domain.
Multidimensional fatigue and its impact on work productivity, mood and quality of life in long-term survivors following definitive intensity-modulated radiotherapy for oropharyngeal cancer: A cross-sectional study
Authors: Iyizoba-Ebozue Zsuzsanna , Nicklin Emma , Currie Stuart , Price James , Baldwin J. P. C. , Prestwich Robin , Brown Sarah , Hall Emma , Lilley John , Lowe Matthew , Thomson David J. , Slevin Finbar , Tyyger Marcus , Murray Louise , Boele Florien 
Published: January 2025

Abstract

Purpose
Radiotherapy (RT) for oropharyngeal cancer (OPC) can lead to late toxicity. Fatigue is a known debilitating issue for many cancer survivors, yet prevalence and severity of long-term fatigue in patients treated for OPC is unknown.

Method
As part of a mixed-methods study, fatigue in OPC patients ≥ 2 years post RT + / − chemotherapy was evaluated. Fatigue scores (multidimensional fatigue inventory; MFI) were compared to general population controls. Predictive sociodemographic/clinical factors of fatigue were investigated by multivariable linear regression. Associations between fatigue, health related quality of life (EQ-5D-5L), work (work productivity and activity impairment — WPAI), mood disturbance (Profile of Mood Scale — POMS) and RT dose were explored.

Results
In 349 patients treated for OPC with median follow-up time post-RT (+ / − chemo) of 6 years (IQR 4–8), > 20% reported severe fatigue in all domains. Scores were significantly worse in patients for mental (mean difference 1.2, 95% CI 0.6–1.8, p = < 0.001) and general fatigue (mean difference 0.8, 95% CI 0.1–1.3, p = 0.015) compared to controls. Age and co-morbidities were significant predictors of mental and general fatigue (p < 0.05). Worse fatigue was associated with worse quality of life, greater work productivity impairment and worse mood (r = − 0.604, 0.582 and 0.679, respectively, all p < 0.05). No correlation was found between fatigue and RT dose to the posterior fossa.

Conclusions
Mental and general fatigue remain significant issues in OPC patients several years after RT + / − chemotherapy.

Implications for Cancer Survivors
Better monitoring of fatigue throughout follow-up care, and timely interventions could help improve patient functioning.