bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamic Modelling and Optimal Sliding Mode Control of the Wearable Rehabilitative Bipedal Cable Robot with 7 Degrees of Freedom
Authors: Sajedifar A. , Korayem M. H. , Allahverdi F. 
Published: June 2024

AbstractAlthough robot-assisted physiotherapy has gained increasing attention in recent years, the use of wearable rehabilitation robots for lower limbs has shown reduced efficiency due to additional equipment and motors located at the center of the joint, increasing complexity and load on disabled patients. This paper proposes a novel rehabilitation approach by eliminating motors and equipment from the center of joints and placing them on a fixed platform using cable-based power transmission. A proposed model of a 14 cable-driven bipedal robot with 7 degrees of freedom has been used to model a lower limb rehabilitation robot corresponding to it. The dynamic equations of the robot are derived using the Euler-Lagrange method. The sliding mode control technique is utilized to offer accurate control for tracking desired trajectories, ensuring smoothness despite disturbances, and reducing tracking errors. This approach is employed to help prevent patients from falling and support them in maintaining balance during rehabilitative exercises. To ensure that cables exert positive tension, the sliding mode controller was combined with quadratic programming optimization, minimizing path error while constraining the controller input torque to be non-negative. The performance of the proposed controller was assessed by considering several control gains resulting in K = 10 identified as the most effective one. The feasibility of this approach to rehabilitation is demonstrated by the numerical results in MATLAB simulation, which show that the RMSE amount of the right and left hip and thigh angles are 0.29, 0.37, 0.31, and 0.44, respectively which verified an improved rehabilitation process. Also, the correlation coefficient between the Adams and MATLAB simulation results for motor torque was found to be 0.98, indicating a high degree of correlation between the two simulation results.
Titanium-doped phosphate glasses containing zinc and strontium applied in bone regeneration
Authors: Tang Tianyi , Wandless Rachel , Keskin-Erdogan Zalike , Mandakhbayar Nandin-Erdene , Park Jeong-Hui , Kim Hae-Won , Abramchuk Morgana , Daltoe Felipe P. , Knowles Jonathan C. 
Published: June 2024

AbstractPhosphate bioactive glass has been studied for its advanced biodegradability and active ion release capability. Our previous research found that phosphate glass containing (P2O5)–(Na2O)–(TiO2)–(CaO)–(SrO) or (ZnO) showed good biocompatibility with MG63 and hMSCs. This study further investigated the application of 5 mol% zinc oxide or 17.5 mol% strontium oxide in titanium-doped phosphate glass for bone tissue engineering. Ti-Ca-Na-Phosphate glasses, incorporating 5% zinc oxide or 17.5% strontium oxide, were made with melting quenching technology. The pre-osteoblast cell line MC3T3-E1 was cultured for indirect contact tests with graded diluted phosphate glass extractions and for direct contact tests by seeding cells on glass disks. The cell viability and cytotoxicity were analysed in vitro over 7 days. In vivo studies utilized the tibial defect model with or without glass implants. The micro-CT analysis was performed after surgery and then at 2, 6, and 12 weeks. Extractions from both zinc and strontium phosphate glasses showed no negative impact on MC3T3-E1 cell viability. Notably, non-diluted Zn-Ti-Ca-Na-phosphate glass extracts significantly increased cell viability by 116.8% (P < 0.01). Furthermore, MC3T3-E1 cells cultured with phosphate glass disks exhibited no increase in LDH release compared with the control group. Micro-CT images revealed that, over 12 weeks, both zinc-doped and strontium-doped phosphate glasses demonstrated good bone incorporation and longevity compared to the no-implant control. Titanium-doped phosphate glasses containing 5 mol% zinc oxide, or 17.5 mol% strontium oxide have promising application potential for bone regeneration research.
Graphical Abstract
Local coordinates on Lie groups for half-explicit time integration of Cosserat-rod models with constraints
Authors: Tumiotto Denise , Arnold Martin 
Published: June 2024

AbstractExplicit Runge–Kutta methods are the gold standard of time-integration methods for nonstiff problems in system dynamics since they combine a small numerical effort per time step with high accuracy, error control, and straightforward implementation. For the analysis of beam dynamics, we couple them with a local coordinates approach in a Lie group setting to address large rotations. Stiff shear forces and inextensibility conditions are enforced by internal constraints in a coarse-grid discretization of a geometrically exact beam model. The resulting nonstiff constrained systems are handled by a half-explicit approach that relies on the constraints at velocity level and avoids all kinds of Newton–Raphson iteration. We construct half-explicit Runge–Kutta Lie group methods of order up to five that are equipped with an adaptive step-size strategy using embedded Runge–Kutta pairs for error estimation. The methods are tested successfully for a roll-up maneuver of a flexible beam and for the classical flying-spaghetti benchmark.
SS-CRE: A Continual Relation Extraction Method Through SimCSE-BERT and Static Relation Prototypes
Authors: Chen Jinguang , Wang Suyue , Ma Lili , Yang Bo , Zhang Kaibing 
Published: June 2024

AbstractContinual relation extraction aims to learn new relations from a continuous stream of data while avoiding forgetting old relations. Existing methods typically use the BERT encoder to obtain semantic embeddings, ignoring the fact that the vector representations suffer from anisotropy and uneven distribution. Furthermore, the relation prototypes are usually computed by memory samples directly, resulting in the model being overly sensitive to memory samples. To solve these problems, we propose a new continual relation extraction method. Firstly, we modified the basic structure of the sample encoder to generate uniformly distributed semantic embeddings using the supervised SimCSE-BERT to obtain richer sample information. Secondly, we introduced static relation prototypes and dynamically adjust their proportion with dynamic relation prototypes to adapt to the feature space. Lastly, through experimental analysis on the widely used FewRel and TACRED datasets, the results demonstrate that the proposed method effectively enhances semantic embeddings and relation prototypes, resulting in a further alleviation of catastrophic forgetting in the model. The code will be soon released at https://github.com/SuyueW/SS-CRE.
Comparing ground-based lightning detection networks near wildfire points-of-origin
Authors: Hatchett Benjamin J. , Nauslar Nicholas J. , Brown Timothy J. 
Published: June 2024

AbstractLightning detection and attribution to wildfire ignitions is a critical component of fire management worldwide to both reduce hazards of wildfire to values-at-risk and to enhance the potential for wildland fire to provide resource benefits in fire-adapted ecosystems. We compared two operational ground-based lightning detection networks used by fire managers to identify cloud-to-ground strokes within operationally-relevant distances (1.6 km) of the origins of 4408 western United States lightning-ignited wildfires spanning May–September 2020. Applying two sets of constraints–varying holdover time and applying a quality control measure–we found strokes were co-detected near 55–65% of fires, increasing to 65–79% for detection by at least one network, with neither network detecting lightning near 1024–1666 fires. Because each network detected strokes near 136–376 unique fires, the use of both networks is suggested to increase the probability of identifying potential fire starts. Given the number of fires with network-unique detections and no detections by either network, improvements in lightning detection networks are recommended given increasing fire hazard.
Drought acclimation of beech seedlings depends largely on their rooting patterns and less on the fungal communities in soils
Authors: Danzberger Jasmin , Hikino Kyohsuke , Landhäusser Simon M. , Hesse Benjamin D. , Meyer Sophie , Buegger Franz , Weikl Fabian , Grams Thorsten E. E. , Pritsch Karin 
Published: June 2024

Abstract
Aims
The composition of soil fungal communities is known to impact tree performance. However, fungal communities differ among soils with different precipitation histories and may change during drought. This study aimed to determine the influence of soil origin and associated climate adaptation of fungal communities on European beech seedlings’ drought responses.

Methods
Seedlings were established from the same seed source and grown in three soils with different precipitation histories but similar water retention properties. One year after establishment, half of the seedlings were exposed to a two-month drought with predawn leaf water potentials of about –1.5 MPa, the other half remained well-watered (control). Before and during the drought, soil and root fungal community composition, root architecture, seedling growth, carbon allocation and leaf physiology were determined.

Results
The drought effect on the fungal community composition was the lowest in dry region soils, suggesting a natural adaptation of the fungal communities to dry environments. Nevertheless, contrary to our expectations, the seedlings grown in dry region soils with respective adapted fungal communities were most affected by drought. This was evidenced by a lower predawn water potential, probably due to shorter root systems with higher root branching compared to those grown in moist region soils where a greater taproot length was observed.

Conclusion
Beech seedlings´ drought responses depend largely on their different rooting patterns and less on the soil fungal communities that are adapted to long-term precipitation conditions. Yet, microbial effects cannot be excluded. Future research should focus more on the role of specific microbial species on plant root growth and drought responses.
Who do I Look like More, Mom or Dad? An Exploratory Survey about Primary Students’ Ideas about Heredity
Authors: Zudaire Isabel , Ayuso G. Enrique , Napal María , Uriz Irantzu 
Published: June 2024

AbstractUnlike in other countries, heredity and genetics appear first in Spanish science standards in secondary levels. However, some researchers have suggested the need of progressively introducing some basic genetic ideas already from primary education levels. In this context of no formal instruction in early stages, the objectives of our work were to characterize the incipient heredity model of primary school pupils and to evaluate its progression, to identify the most appropriate time to introduce these ideas. We designed a 12-item questionnaire referred to two constructs: (1) the difference between biologically inherited and environmental acquired traits and (2) the mechanism of inheritance. 535 primary school pupils (6–12 years; grades 1–6) took part in the study. In addition, 1–2 pupils per class were interviewed, totalling 30 interviewees. The results showed that pupils clearly identified physical resemblance as inheritable but had more difficulties in assessing physiological traits. Most pupils (84%) correctly identified that accidentally acquired traits were not transmitted to the descendance. However, only 32,2% of them use terms related to inheritance (77,1% of them in G4 – G6). Regarding the mechanism of inheritance, the idea that siblings express traits of both parents becomes more prevalent from grade 3, even suggesting the appearance of new traits or the mixture of previous ones. Older pupils accepted that a trait could skip a generation, although most of them were unable to explain the mechanism, that involves the idea of dominance/ recessiveness. These results allow identifying key leverage points for constructing the inheritance model at Primary levels.
Checking in to Check out? The Effect of Boredom on Craving, Behavioural Inhibition and Social Networking Site Use
Authors: Kolas Janelle , von Mühlenen Adrian 
Published: June 2024

AbstractMood modification is widely considered a motive of social networking site (SNS) use, especially among problematic users, but few empirical studies on this topic have been published. The present study aims to investigate the impacts of boredom on craving, behavioural inhibition and SNS usage for users at greater and lesser risk of “addiction”. One hundred fourteen undergraduate students (85.09% female) were presented with either a boredom-inducing or control manipulation in this experiment. Following this mood induction, participants completed a Go/No-Go task modified with control and SNS-related visual cues. Participants were then presented with an unexpected, real-world boring situation, and SNS use during this period was noted. Subjective levels of craving and boredom were measured throughout the experiment. Findings demonstrate that users may view SNS as a mood modifier in the sense that craving was found to increase following experiences of boredom, and bored participants were more likely to use SNS during a waiting period. However, no differences were found between participants based upon risk of SNS addiction. These findings demonstrate that the typical experiential pattern found within addiction of dysphoric mood, enhanced craving and usage may simply be, in the context of SNS, a behavioural pattern of modern life.
Biofilm formation by the fungus Phaeomoniella chlamydospora: a causal agent of esca disease of grapevine
Authors: Karácsony Zoltán , Molnár Nikolett , Szabó Dóra , Bakos-Barczi Nóra , Lovas Miklós , Pálfi Xénia , Váczy Kálmán Zoltán 
Published: June 2024

AbstractThe present study suggests that the Esca pathogenic fungus Phaeomoniella chlamydospora can form biofilm in vitro and possibly in the grapevine host tissues. This phenomenon was revealed by the detailed examination of the development of three isolates of the fungus, showing dimorphic growth with the formation of yeast-like cells in the center, which were embedded in a polysaccharide-rich extracellular matrix, and filamentous growth at the colony margins. The colonies produced acetate, which chemical proved to be an enhancer of yeast-like growth and extracellular matrix production. The dynamic of biofilm formation was correlated with the ability of the strains to produce acetate, suggesting that it acts as a quorum sensing molecule in the process. The dimorphic growth of P. chlamydospora was also demonstrated in host tissues as a sole nutrient source, suggesting that biofilm can be produced in planta and take part in the pathogenesis of Esca. The biofilms formed by the fungus may contribute to the previously reported inhibition of sap flow in the infected plants, while its quorum sensing-mediated nature may partly explain the controversial literature data on the occurrence of the pathogen and symptom severity in the host.
Meticulous Closure of Mesenteric Defects Effectively Reduces the Incidence of Internal Hernia After Laparoscopic Roux-en-Y Gastric Bypass
Authors: Vuagniaux Aurélie , Barberá-Carbonell Beatriz , Dayer Anna , Mantziari Styliani , Suter Michel 
Published: June 2024

Abstract
Introduction
Internal hernia (IH) after Roux-Y gastric bypass (RYGB) can lead to extended small bowel ischemia if it not recognized and treated promptly. The aim of this study is to show whether improvement in mesenteric defect (MD) closure reduces the incidence of IH.

Patients and Methods
Retrospective analysis of prospectively collected data from our database including all patients who underwent laparoscopic RYGB between 1999 and 2015. The usual technique was a retrocolic/retrogastric RYGB. We divided patients in four groups according to the closure technique for MD and compared incidences of IH between groups. All patients had at least 8 years of follow-up.

Results
A total of 1927 patients (1497 females/460 males, mean age of 41.5 ± 11 years) were operated. A retrocolic/retrogastric RYGB was performed in 1747 (90.7%) and an antecolic RYGB in 180 patients. Mean duration of follow-up was 15 (8–24) years. 111 patients (5.8%) developed IH, the majority through the jejunojejunostomy (JJ, 3.7%) and Petersen (1.7%) defects. With improvement of closure technique, the incidence decreased over time, from 12.9% in the group with separate sutures to 1.05% in the most recent group with running non-absorbable sutures and an additional purse-string at the JJ defect (p < 0.0001).

Conclusion
Meticulous closure of MD during RYGB is a very important step that significantly reduces the IH risk after RYGB, even with a retrocolic/retrogastric anatomy. Using running non absorbable braided sutures and an additional purse-string suture at the JJ is the most effective technique, but a small IH risk persists. A high index of suspicion remains necessary in patients who present with acute abdominal pain after RYGB.

Graphical Abstract
Beyond Control: Temperature Burden in Patients with Spontaneous Subarachnoid Hemorrhage—An Observational Study
Authors: Rass Verena , Ianosi Bogdan-Andrei , Lindner Anna , Kindl Philipp , Schiefecker Alois J. , Helbok Raimund , Pfausler Bettina , Beer Ronny 
Published: June 2024

Abstract
Background
Temperature abnormalities are common after spontaneous subarachnoid hemorrhage (SAH). Here, we aimed to describe the evolution of temperature burden despite temperature control and to assess its impact on outcome parameters.

Methods
This retrospective observational study of prospectively collected data included 375 consecutive patients with SAH admitted to the neurological intensive care unit between 2010 and 2022. Daily fever (defined as the area over the curve above 37.9 °C multiplied by hours with fever) and spontaneous hypothermia burden (< 36.0 °C) were calculated over the study period of 16 days. Generalized estimating equations were used to calculate risk factors for increased temperature burdens and the impact of temperature burden on outcome parameters after correction for predefined variables.

Results
Patients had a median age of 58 years (interquartile range 49–68) and presented with a median Hunt & Hess score of 3 (interquartile range 2–5) on admission. Fever (temperature > 37.9 °C) was diagnosed in 283 of 375 (76%) patients during 14% of the monitored time. The average daily fever burden peaked between days 5 and 10 after admission. Higher Hunt & Hess score (p = 0.014), older age (p = 0.033), and pneumonia (p = 0.022) were independent factors associated with delayed fever burden between days 5 and 10. Increased fever burden was independently associated with poor 3-month functional outcome (modified Rankin Scale 3–6, p = 0.027), poor 12-month functional outcome (p = 0.020), and in-hospital mortality (p = 0.045), but not with the development of delayed cerebral ischemia (p = 0.660) or intensive care unit length of stay (p = 0.573). Spontaneous hypothermia was evident in the first three days in patients with a higher Hunt & Hess score (p < 0.001) and intraventricular hemorrhage (p = 0.047). Spontaneous hypothermia burden was not associated with poor 3-month outcome (p = 0.271).

Conclusions
Early hypothermia was followed by fever after SAH. Increased fever time burden was associated with poor functional outcome after SAH and could be considered for neuroprognostication.
The role of artificial intelligence in the supply chain finance innovation process
Authors: Ronchini Alessio , Guida Michela , Moretto Antonella , Caniato Federico 
Published: June 2024

AbstractLeveraging on ten case studies, the paper examines the Supply Chain Finance (SCF) innovation process through a multiple stakeholder perspective (buyers, suppliers, and SCF providers). The aim is to identify the phases of the process impacted by Artificial Intelligence (AI), as well as its benefits and challenges. AI affects several activities in the Initiation phase of the innovation process, supporting the SCF provider’s commercial activities and contributing to assessing the buyer’s creditworthiness, detecting fraud, or proposing the right SCF solution. In the Implementation phase, AI supports assessing the supplier’s credit rating, categorizing and onboarding suppliers, and fastening the administrative tasks. Formulating 9 propositions, this study supports the theory related to the SCF by providing empirical evidence about the role of AI in the SCF innovation process and also identifying the resulting benefits and challenges for all the actors involved.
Truth-Ratios, Evidential Fit, and Deferring to Informants with Low Error Probabilities
Authors: Roche Michael , Roche William 
Published: June 2024

Abstract
Suppose that an informant (test, expert, device, perceptual system, etc.) is unlikely to err when pronouncing on a particular subject matter. When this is so, it might be tempting to defer to that informant when forming beliefs about that subject matter. How is such an inferential process expected to fare in terms of truth (leading to true beliefs) and evidential fit (leading to beliefs that fit one’s total evidence)? Using a medical diagnostic test as an example, we set out a formal framework to investigate this question. We establish seven results and make one conjecture. The first four results show that when the test’s error probabilities are low, the process of deferring to the test can score well in terms of (i) both truth and evidential fit, (ii) truth but not evidential fit, (iii) evidential fit but not truth, or (iv) neither truth nor evidential fit. Anything is possible. The remaining results and conjecture generalize these results in certain ways. These results are interesting in themselves—especially given that the diagnostic test is not sensitive to the target disease’s base rate—but also have broader implications for the more general process of deferring to an informant. Additionally, our framework and diagnostic example can be used to create test cases for various reliabilist theories of inferential justification. We show, for example, that they can be used to motivate evidentialist process reliabilism over process reliabilism.
Measurement invariance and preliminary psychometric properties of the young positive schema questionnaire in a Portuguese European sample
Authors: Faustino Bruno , Louis John. Philip 
Published: June 2024

AbstractEarly Adaptive Schemas have been proposed as adaptive counterparts to Early Maladaptive Schemas, which are longstanding dysfunctional psychological structures associated with psychopathology. The Young Positive Schema Questionnaire (YPSQ) was recently developed to complement the Young Schema Questionnaire 3 Short-Form. This study describes the cultural adaptation of YPSQ to European Portuguese. A sample of European Portuguese-speaking participants (N = 430, Mage = 30.31, DP = 12.75), fulfilled self-report questionnaires in a cross-sectional/transversal design. Confirmatory Factor Analysis, multi-group confirmatory group analysis and Pearson correlations were used to explore the psychometric properties of the YPSQ. A 14-factorial model was identified with 56 items with excellent goodness-of-fit indices χ2(426) = 3252.165, TLI = 0.92, CFI = 0.93, RMSEA = 0.056[0.053 − 0.058]. Almost all the positive schemas correlated negatively with symptomatic domains (e.g., depression, anxiety), assessed using the Brief Symptomatic Inventory, which supported adequate construct validity. Multi-group confirmatory factor analysis using the original samples from Asia and the West when YPSQ was initially developed and the portuguese sample, showed invariance of the factor structure across these cultures including Portugal. The factor structure of the YPSQ was confirmed, suggesting that this measure may be adequate to assess positive schemas in the European Portuguese-speaking Population. More research is still required to demonstrate other psychometric properties of the instrument using clinical populations.