bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical evaluation of autonomous robotic‐assisted full‐arch implant surgery: A 1‐year prospective clinical study
Authors: Xie Rui , Liu Yuchen , Wei Hongbo , Zhang Tingmin , Bai Shizhu , Zhao Yimin 
Published: February 2024

AbstractObjectivesThis prospective clinical study aimed to evaluate the accuracy and 1‐year clinical follow‐up performance of dental implant placement with an autonomous dental implant robot (ADIR) system in full‐arch implant surgery.Materials and MethodsTwelve patients with edentulous arches or final dentition received 102 implants using the ADIR system. Global platform deviation, global apex deviation, and global angular deviation between the planned and actual implants were calculated after surgery. Data were statistically analyzed for factors including jaws, implant positions, patient sequences, implant systems, and implant length. Surgery duration was recorded. Patients were followed for 3 months and 1 year after surgery. Periodontal parameters, buccal bone thickness (BBT), and facial vertical bone wall peak (IP‐FC) were recorded.ResultsAmong the 102 implants, the mean (SD) global platform deviation, global apex deviation, and global angular deviation were 0.53 (0.19) mm, 0.58 (0.17) mm, and 1.83 (0.82)°, respectively. The deviation differences between the mandible and maxilla did not show statistical significance (p > .05). No statistically significant differences were found for the jaws, implant positions, patient sequences, implant systems, and implant length to the deviations (p > .05). The periodontal parameters, the BBT, and IP‐FC remained stable during 1‐year follow‐up.ConclusionThe ADIR system showed excellent positional accuracy. The 1‐year follow‐up after full‐arch implant surgery indicated that the ADIR system could achieve promising clinical performance. Additional clinical evidence is requisite to furnish guidelines for the implementation of the ADIR system in full‐arch implant surgery.
The board gender diversity imitation game: Uncovering the resistant boards that refuse to play
Authors: Mateos de Cabo Ruth , Gimeno Ricardo , Gabaldón Patricia , Grau Pilar 
Published: February 2024

AbstractResearch question/issueThis study examines the influence of group behavior on board gender diversity and identifies obstacles to its diffusion. It investigates whether boards are influenced by group behavior in determining their gender composition and explores barriers that impede the diffusion process.Research findings/insightsAnalyzing a network of over 18,000 US‐listed boards observed over 20 years, we find a pattern of mimetic behavior, whereby boards imitate the proportion of women on boards (WoB) among their directly tied boards. We also identify resistant firms with low representation of women on their boards. Our findings suggest that, among those boards, there are heavily male‐dominated boards resisting the appointment of women, even when surrounded by women directors among their tied boards. The diffusion of board gender diversity is slowed down by these resistant boards, hindering the overall progress in increasing gender diversity within the board network.Theoretical/academic implicationsThis research contributes insights into group behavior and resistance in board gender diversity. Adopting a network theory lens, our study sheds light on interactions between firms and their connected companies in terms of imitation practices. Drawing on social identity theory, we highlight the significance of the resistance to increasing women's representation exhibited by some boards.Practitioner/policy implicationsResistant boards, despite group pressure, slow down the diffusion of board gender diversity within the network, leading to overall stagnation. Understanding the sources of resistance allows an exploration of alternative measures to promote diversity without rigid mandates.
Resting strain analysis to identify myocardial ischemia in patients with advanced chronic kidney disease
Authors: Tsartsalis Dimitrios , Dimitroglou Yannis , Kalompatsou Argyro , Koukos Markos , Patsourakos Dimitrios , Tolis Elias , Tzoras Spiros , Petras Dimitrios , Tsioufis Costas , Aggeli Constantina 
Published: February 2024

AbstractBackgroundChronic kidney disease (CKD) is associated with higher incidence of cardiovascular death. Screening for coronary artery disease in asymptomatic or mildly symptomatic patients is challenging.ObjectiveThe aim of this study was to investigate the incremental value of resting deformation analysis in predicting positive results for myocardial ischemia during stress transthoracic echocardiography in patients with end‐stage CKD.MethodsSixty‐one patients (mean age: 62.3 ± 11.8, 65.7% men) with end‐stage CKD were included in the study. Patients underwent a resting transthoracic echocardiogram and a dobutamine stress contrast echo (DSE) protocol. Positive results of DSE were defined as stress‐induced left ventricular (LV) wall motion abnormalities.ResultsThe study cohort had normal or mildly impaired systolic function: mean LV ejection fraction (EF) was 49.2% (±10.4) and mean LV global longitudinal strain (GLS) was 14.4% (±4.5). Half of our population had impaired left atrial (LA) strain: mean LA reservoir, conduit, and contractile reserve were 24.1% (±12.6), 10.6% (±5.9), and 13.6% (±9.2), respectively. DSE was positive for ischemia in 55.7%. A significant negative association with DSE results was found for LV EF, LV GLS and the conduit phase of LA strain. Both LV and LA dimensions showed positive correlation with presence of ischemia in DSE. Multivariate logistic regression analysis showed that LV GLS was independently associated with DSE (p = 0.007), after controlling for covariates, with high diagnostic accuracy.ConclusionResting LV deformation could predict positive results during DSE, thus may be useful to better identify renal patients who might benefit from coronary artery screening.
A rare etiology of frequent ventricular ectopy: Embolic complication of a venous iliac stent to the right ventricle
Authors: Sanchez Christy , Torres Christian , Ujueta Francisco , Mandava Sri , Tolentino Alfonso , Titano Joseph J. , LaPietra Angelo , Mihos Christos G. 
Published: February 2024

AbstractPeripheral venous stent migration is an exceedingly rare complication of endovascular stenting. In this clinical vignette, we present a case of a 74‐year‐old male with a history of endo‐venous laser ablation therapy of the right greater saphenous vein complicated with an occlusion requiring a left iliac vein stent. The patient presented to the clinic months after the procedure with complaints of palpitations. Multimodality imaging revealed a stent that had become dislodged and was now located in the right ventricle, trapped within the tricuspid valve apparatus.
Life‐history connections to long‐term fish population trends in a species‐rich temperate river
Authors: Nagy Andrew J. , Freeman Mary C. , Irwin Brian J. , Wenger Seth J. 
Published: February 2024

AbstractFishes exhibit a diverse range of traits encompassing life‐history strategies, feeding behaviours and spawning behaviours. These traits mediate fish population responses to changing environmental conditions such as those caused by anthropogenic stressors. The Conasauga River, located in northwestern Georgia and southeastern Tennessee, USA, hosts a diverse assemblage of over 75 species of freshwater fish, some of which are locally or regionally endemic, and many of which are imperilled. Annual monitoring data have shown population declines in multiple fish species of conservation concern in the Conasauga River since at least the 1990s, raising the possibility that other taxa could be declining as well. We quantified temporal changes in fish communities at six shoal sites sampled annually in most years from 1996 to 2022, and asked whether species traits hypothesized to underlie population vulnerability to environmental alteration were correlated with species‐specific trends for 32 taxa. We estimated that total counts of fish in annual samples declined by ~2% per year, although declines were uneven among species and generally greater for less abundant taxa. Tests for species traits corresponding to temporal population trends provided evidence that crevice‐spawning minnows and smaller‐bodied taxa had steeper declines compared with broadcast spawners and larger, longer‐lived, more fecund taxa. Lower abundance, reliance on a particular habitat feature, and life‐history traits that may limit population resilience to disturbance may all prove useful for identifying riverine fishes at particular risk of future population decline.
First episode psychosis caregiver perspectives on motivational interviewing for loved ones training: A qualitative study
Authors: Ipekci Bediha , Thibeau Heather , Barnard Emily , Keshavan Matcheri S. , Bye Akansha Vaswani , Kline Emily R. 
Published: February 2024

AbstractBackgroundPast research has found that family involvement in psychosis treatment leads to better patient outcomes. Thus, caregiver communication skills training can be a viable approach to reducing caregiver stress and increasing self‐efficacy and communication.AimThe purpose of this qualitative study was to describe family caregivers' perceptions of changes in themselves and their family member with psychosis following their participation in Motivational Interviewing in Loved Ones (MILO), a brief four to five‐hour psychoeducational intervention for caregivers.MethodsSixty‐three participants in the MILO trials provided written qualitative responses to the prompt, “Since learning the ideas and techniques in this course, what is the most significant change you noticed in yourself, your family, or your relationships?” Responses were collected immediately following MILO participation and 12 weeks later. Qualitative themes were identified through an iterative consensus process.ResultsMost participants reported positive changes in multiple domains of their lives. Major themes included: (1) Changes in Self, (2) Changes in Relationships, (3) Changes in Mindset, (4) Use of MILO Skills, and (5) Challenges.ConclusionQualitative results support and add context to the previously reported quantitative results from this study. MILO is a promising family intervention that positively influenced family environment and communication in pilot trials. Adaptations of MILO for families outside of a highly educated North American context should be considered.
Addressing the gap of early intervention for eating disorders in primary health care
Authors: Radunz Marcela , Pritchard Luke , Steen Eloisa , Williamson Paul , Wade Tracey D. 
Published: February 2024

AbstractAimOnly one in four individuals with eating disorders (EDs) seek help, with many barriers to treatment‐seeking present. Placing an early intervention model in primary mental health care settings is one approach to reducing these barriers. To date, only one model (emerge‐ED) has been evaluated in the literature.MethodsWe aimed to replicate findings from the initial emerge‐ED evaluation. We report on treatment outcomes in a new cohort and their views on barriers to treatment‐seeking. We then examine how this early intervention model in primary health care has evolved to overcome the barriers to treatment delivery cited by health professionals in the initial evaluation.ResultsEighty participants commenced treatment between July 2020 and March 2022 and completed a mean of 8.98 sessions, 70 (87.5%) completed >1 sessional measure on ED cognitions and behaviours, but only 31% (n = 24) completed lengthier assessments. Findings replicated initial emerge‐ED outcomes, with small to moderate effect size decreases in the ED sessional measure at 70 days since treatment commencement for cognitions (d = .63) and ED behaviours (d = .09., .69). The most cited barrier by participants was “belief that my problem is not bad enough”, reflective of denial of illness. Lastly, to overcome barriers to treatment delivery clinicians had to deviate from treatment protocols and work collaboratively with other healthcare providers.ConclusionsOur findings replicated the initial emerge‐ED evaluation and highlight the importance of considering primary health care settings as an essential site in delivering early intervention services for EDs.
Mutualisms drive plant trait evolution beyond interaction‐related traits
Authors: Burin Gustavo , Campbell Laura C. E. , Renner Susanne S. , Kiers E. Toby , Chomicki Guillaume 
Published: February 2024

AbstractMutualisms have driven the evolution of extraordinary structures and behavioural traits, but their impact on traits beyond those directly involved in the interaction remains unclear. We addressed this gap using a highly evolutionarily replicated system – epiphytes in the Rubiaceae forming symbioses with ants. We employed models that allow us to test the influence of discrete mutualistic traits on continuous non‐mutualistic traits. Our findings are consistent with mutualism shaping the pace of morphological evolution, strength of selection and long‐term mean of non‐mutualistic traits in function of mutualistic dependency. While specialised and obligate mutualisms are associated with slower trait change, less intimate, facultative and generalist mutualistic interactions – which are the most common – have a greater impact on non‐mutualistic trait evolution. These results challenge the prevailing notion that mutualisms solely affect the evolution of interaction‐related traits via stabilizing selection and instead demonstrate a broader role for mutualisms in shaping trait evolution.
IGFBP‐rP1 is a potential therapeutic target in androgenic alopecia
Authors: Zhou Lijuan , Hu Ruiming , Sheng Youyu , Wang Xuchao , Qi Sisi , Zhao Jun , Miao Ying , Zhao Ying , Xu Feng , Wu Wenyu , Lu Zhongfa , Yang Qinping 
Published: February 2024

AbstractThe available interventions for androgenic alopecia (AGA), the most common type of hair loss worldwide, remain limited. The insulin growth factor (IGF) system may play an important role in the pathogenesis of AGA. However, the exact role of IGF binding protein‐related protein 1 (IGFBP‐rP1) in hair growth and AGA has not been reported. In this study, we first found periodic variation in IGFBP‐rP1 during the hair cycle transition in murine hair follicles (HFs). We further demonstrated that IGFBP‐rP1 levels were lower in the serum and scalp HFs of individuals with AGA than in those of healthy controls. Subsequently, we verified that IGFBP‐rP1 had no cytotoxicity to human outer root sheath cells (HORSCs) and that IGFBP‐rP1 reversed the inhibitory effects of DHT on the migration of HORSCs in vitro. Finally, a DHT‐induced AGA mouse model was created. The results revealed that the expression of IGFBP‐rP1 in murine HFs was downregulated after DHT treatment and that subcutaneous injection of IGFBP‐rP1 delayed catagen occurrence and prolonged the anagen phase of HFs in mice with DHT‐induced AGA. The present work shows that IGFBP‐rP1 is involved in hair cycle transition and exhibits great therapeutic potential for AGA.
Stakeholder perception towards a machine‐learning‐based digital platform for detection and management of autism spectrum disorder
Authors: Kohli Manu , Kar Arpan Kumar , Sinha Shuchi , Kohli Swati 
Published: February 2024

AbstractAutism spectrum disorder (ASD) affects approximately 1% of the population, presenting a significant healthcare challenge due to limited resources, particularly a shortage of clinicians, which impedes timely ASD detection and management in children. This study investigates stakeholder viewpoints regarding the effectiveness of integrating machine learning (ML) into the information and communications technology (ICT) platform for ASD detection and intervention. Primary stakeholders, including parents and clinicians, provide first hand experiences with this technology during and after the COVID‐19 pandemic. The research identifies critical technology adoption factors by synthesizing stakeholder input based on user experiences, technology design, technology utility, and its impact. Additionally, the study gathers insights from potential investors interested in assistive technologies. Stakeholders unanimously acknowledge the pivotal role of technology in enhancing current ASD detection and management. However, their attitudes toward technology adoption exhibit divergent trends during and after the COVID‐19 pandemic. The study highlights a shift toward a technology‐enabled, human‐centred framework, which gained prominence post‐pandemic. Various factors contributing to this shift in stakeholder perspective were identified, including caregiver stress, technostress, and pandemic‐induced environmental factors affecting stakeholders’ stress levels and motivating them to shift towards a human‐centric model. Stakeholders emphasize the paramount importance of human‐centred approaches in ASD detection and intervention, with technology serving as an empowering tool. Stakeholders also highlight the imperative ethical and legal considerations to foster trust and enhance the adoption of ML‐based technology. Consequently, future research should delve into stakeholder perspectives within the framework of fairness, accountability, transparency, and ethics (FATE) to ensure these technologies’ responsible development and implementation.
Exploring deep learning techniques for illuminance estimation
Authors: Vélez Bedoya Jairo Iván , González Bedia Manuel , Ossa Luis Fernando Castillo , Arango‐López Jeferson , Díaz‐Arancibia Jaime 
Published: February 2024

AbstractIn recent years, deep learning techniques had a revolutionary impact on several domains, including computer vision and image processing. This research paper focuses on exploring deep learning methods to achieve precise illuminance estimation, which holds significant importance in applications such as augmented reality, virtual reality, and photography. However, accurately estimating illuminance in complex scenes continues to pose challenges due to the intricate interplay between light sources, objects, and surfaces. The results of extensive experimentation demonstrate the immense potential of deep learning techniques in illuminance estimation. These techniques exhibit promising accuracy and robustness, enabling them to handle diverse scenarios effectively. The valuable insights derived from this study can serve as a guiding framework for future research endeavours and contribute to the development of efficient and precise methodologies for illuminance estimation across a wide range of practical applications.
Microstructural damage assessment in alloy 617M near high cycle fatigue threshold at elevated temperature
Authors: Kale Sandeep , Thawre M. M. , Peshwe D. R. , Nagesha A. , Sarkar Aritra , Dandekar Tushar R. 
Published: February 2024

AbstractHigh cycle fatigue (HCF) behavior of Ni superalloy 617M is investigated at 973 K and R‐ratio −1 on a resonance‐based fatigue testing system at 85 Hz frequency. The alloy experiences an abrupt drop in fatigue life within a narrow domain of 2.5–5 MPa near its fatigue strength at 320 MPa. Electron microscopy and diffraction techniques were employed to thoroughly analyze the nominal fatigue damage. The characterization revealed the significance of precipitation of secondary phases M23C6, Ti (C, N), and γ′ phase in dictating the HCF strength of the alloy. Cyclic loading at high temperature causes γ‐matrix hardening and secondary phase precipitation synergistically strengthening the material beyond its yield strength. Conjunctively, dynamic strain aging was also seen to play a major role in the evolution of fatigue damage. The work highlights the collective contribution of γ′‐phase precipitation, carbides, and dynamic strain aging and their influence on the HCF behavior of alloy 617M.
A comparative study of several life prediction models based on the critical plane approach for fretting fatigue crack initiation
Authors: Shu Yiliang , Yang Guangxue , Liu Zhiming , Hu Weigang 
Published: February 2024

AbstractTo reasonably forecast the crack initiation characteristics of fretting fatigue, this study evaluates the accuracy of several damage models. The existing experimental and simulation investigations are compared, noting the similarities and differences in the crack initiation location, crack orientation angle, and crack initiation life predicted by various damage models. It is crucial to employ a reasonable and reasonable damage prediction model of fretting crack initiation life, as fretting fatigue, a phenomenon of mechanically fastened connecting parts, can considerably reduce the fretting fatigue life of the components. This paper compares the fatigue damage prediction models of fretting fatigue specimens under partial slip conditions, and it will help researchers understand the benefits and drawbacks of various damage models and give them the knowledge and foundation to select the more reasonable fretting fatigue damage model.
Effect of energy input on fatigue crack growth behavior of titanium alloy Ti6Al4V made by WAAM‐CMT
Authors: El Hassanin Andrea , Campatelli Gianni , Sepe Raffaele , Silvestri Alessia Teresa , Squillace Antonino 
Published: February 2024

AbstractThis work deals with the investigation and characterization of Ti6Al4V parts produced with an intriguing manufacturing process belonging to the Wire Arc Additive Manufacturing (WAAM) family: the Cold Metal Transfer technology (CMT). Wall‐shaped parts were produced according to different process parameters, namely the wire feed speed and voltage–current combinations, leading to different energy inputs. The parts were characterized in terms of surface morphology, microhardness, microstructure, tensile properties, and fatigue crack growth. The results suggested that the investigated deposition parameters led to similar results. Moreover, the mechanical and fatigue crack growth behavior was in line with parts of the same alloy produced through other manufacturing routes, whereas the microstructure type was the result of the fast cooling of the molten material. Finally, considering the simple system adopted to avoid oxidation during the deposition stage, the results suggested that CMT is a promising manufacturing technique for titanium alloy semifinished parts.