bluuebunny/crossref_metadata_2025_split huggingface dataset:
Accuracy of robotic computer‐assisted implant surgery for immediate implant placement: A retrospective case series study
Authors: Li Ping , Zhao Chunhui , Chen Jiahao , Xu Shulan , Yang Shuo , Li An 
Published: September 2024

AbstractObjectivesThis study investigated the accuracy of robotic computer‐assisted implant surgery (r‐CAIS) for immediate implant placement.MethodsTwenty cases with 20 implant sites were selected based on predefined inclusion criteria. The preparation of the implant bed and implant placement followed the standardized dental implant robotic surgery protocol. Postoperative cone‐beam computed tomography scans were conducted to assess possible discrepancies between actual and planned implant positions.ResultsThe r‐CAIS technology for immediate implant placement exhibited a mean global coronal deviation of 0.71 ± 0.27 mm (95% CI: 0.58–0.83 mm), a mean global apical deviation of 0.69 ± 0.26 mm (95% CI: 0.56–0.81 mm), and an angular deviation of 1.27 ± 0.47° (95% CI: 1.05–1.49°). A substantial number of deviations were observed buccally at both coronal (90%) and apical (95%) levels, with a consistent tendency for buccal deviation.ConclusionsThe r‐CAIS technology proved a promising approach for immediate implantation in the anterior region, with satisfactory clinical outcomes. However, an optimized surgical protocol for r‐CAIS technology is required for particular implant sites like extraction sockets or bone defects.
An approach to designing efficient implementation of 30×30 terrestrial conservation commitments
Authors: Schloss Carrie A. , Cameron D. Richard , Franklin Bradley , Nolte Christoph , Morrison Scott A. 
Published: September 2024

AbstractIn response to biodiversity declines worldwide, over 190 nations committed to protect 30% of their lands and waters by 2030 (hereafter, 30×30). Systematic conservation planning and return on investment analysis can be helpful tools for determining where protection efforts could deliver the most efficient and effective reserve design, and supporting decision‐making when trade‐offs among objectives are required. Here, we propose a framework for efficient “30×30” implementation and apply it to the state of California (USA). Because conservation of a region's full suite of biodiversity is the primary objective of the global initiative, we prioritized representation in our analysis. We used Zonation to identify networks that close the gap in representation of major habitat types in California's protected area network and that also conserve the places important for biodiversity or climate change mitigation. We identified networks that are efficient relative to metrics likely to be important in implementation including land acquisition cost, number of transactions, and conservation benefit per hectare, and we illustrate not only trade‐offs associated with these metrics but also differences in the co‐benefits achieved. Five of the eight major habitat types in California are not currently protected at a 30% level statewide, and if representation was achieved solely through private land acquisition, targets could be met for as little as $5.84 billion, with as few as 364 transactions, or with 2.18 million additional conserved hectares. Implementation of 30×30 will likely require more flexibility than a single network design. A “no regrets” action would be to protect properties that were prioritized across all networks and additional implementation should include properties with characteristics of any of the individual networks. Our analytical framework and implementation guidance can be applied to other geographies and jurisdictions to increase the likelihood of both meeting 30×30 targets and delivering the conservation benefits they aim to secure.
High incidence of low interstitial fluid glucose among type 2 diabetes patients with chronic kidney disease (CKD) despite adhering to appropriate glycated haemoglobin targets—has time come for robust integration of interstitial fluid glucose targets into glycaemic guidelines?
Authors: Tian Kristy , Ang Li Chang , Choudhary Pratik , Choo Jason Chon Jun , Bee Yong Mong , Goh Su‐Yen , Teh Ming Ming 
Published: September 2024

AbstractAimWe aim to compare the burden of Level 1 (<4 mmol/L) and Level 2 (<3 mmol/L) hypoglycaemia between type 2 diabetes (T2D) patients with and without chronic kidney disease (CKD).MethodsT2D subjects with and without CKD (eGFR<60 mL/min/1.73 m2) were recruited from a tertiary‐care hospital. Subjects wore the Freestyle Libre‐Pro sensor for 2 weeks. The number of hypoglycaemic events and intra‐day difference in Level 1 and 2 hypoglycaemias were compared between the cohorts.ResultsWe recruited 134 subjects: 74 with CKD (44 M:30F) and 60 without CKD (36 M:24F), with no difference in HbA1c between the two cohorts (66 ± 20 vs 64 ± 16 mmol/mol, p = 0.529). The CKD cohort had increased level 1 (OR 1.73, p = 0.011), level 2 hypoglycaemias (OR 2.16, p = 0.002), and glycaemic variability than the non‐CKD cohort (35.3 ± 9.5 vs 32.3 ± 6.8%). The CKD cohort had more level 2 hypoglycaemia events nocturnally compared to day at 1.9 ± 3.1 vs. 1.4 ± 2.5 events/person within the two week sensor wearing period (p = 0.022), whereas there was no significant intra‐day difference in the number of such events within the non‐CKD cohort.ConclusionsThe CKD cohort has a greater burden of hypoglycaemia despite being treated to similar HbA1c targets. The greater number of nocturnal events warrants safety concern. Interstitial fluid glucose targets should be incorporated into the glycaemic guidelines for T2D patients with CKD.
Prevalence of obesity and cardiovascular disease in adults with type 2 diabetes and use of diabetes medication in Germany: A claims data study
Authors: Hennies Nora , Görgens Sven W. , Killer Jonas , Otto Thorsten , Richter Lena M. , Müller‐Wieland Dirk , Häckl Dennis 
Published: September 2024

AbstractAimsTo identify the prevalence of cardiovascular disease (CVD) and obesity in patients with type 2 diabetes (T2D) in Germany and to evaluate if antidiabetic treatment patterns varied by comorbidity status.Materials and MethodsPatients with T2D (aged ≥18 years) were identified during the study period (2014–2020) from medical claims of 4.5 million publicly insured German residents and divided into different cohorts based on CVD and/or obesity diagnosis. Annual prevalence and incidence were estimated for each study year, while characteristics and treatments were assessed in 2020. Data were extrapolated to the German population by age and sex.ResultsThe prevalence of T2D in 2020 was 11.4%. Among patients with T2D, 53.0% had CVD, 39.3% had obesity, and 20.9% had CVD and obesity. Since 2014, CVD increased by 1.4%, obesity by 4.5%, and CVD with obesity by 2.7% in patients with T2D. The incidence of T2D in 2020 was 1.0% (42.9% had CVD, 37.9% had obesity, and 15.8% had CVD and obesity). Among the prevalent T2D population in 2020, 4.9% received glucagon‐like peptide‐1 receptor agonists (GLP‐1RAs), 9.7% received sodium‐glucose cotransporter‐2 (SGLT2) inhibitors, and 13.0% received GLP‐1 RAs and/or SGLT2 inhibitors. Of those with CVD, 12.9% received GLP‐1 RAs and/or SGLT2 inhibitors (without CVD, 13.2%). Of those with obesity, 19.4% received GLP‐1RAs and/or SGLT2 inhibitors (without obesity, 9.0%).ConclusionsIn this retrospective claims database study, more than two thirds of patients with T2D also had CVD, obesity, or both CVD and obesity. GLP‐1 RA and SGLT2 inhibitor use remained low.
In which common chronic conditions can (or cannot) obesity and lifestyle factors explain higher concentrations of C‐reactive protein?
Authors: Anderson Jana J. , Deo Salil V. , Welsh Paul , MacKay Danny F. , Ho Frederick K. , Ferguson Lyn D. , Celis‐Morales Carlos , Gill Jason M. R. , Pell Jill P. , Sattar Naveed 
Published: September 2024

AbstractAimElevated C‐reactive protein (CRP), a marker of inflammation, is common in many chronic conditions. We aimed to examine to what extent elevated CRP in chronic conditions could be explained by concurrent adiposity.Materials and MethodsThis cross‐sectional study analysed UK Biobank data on 10 chronic conditions reported at baseline. Linear regression models explored the extent to which CRP concentrations were elevated in each condition, unadjusted; adjusted for sociodemographic confounders and lifestyle and body mass index (BMI) in a series of models; or adjusted for BMI and waist circumference together or for adiposity alone.ResultsAfter exclusion of participants with a potential acute infection at baseline, we tested the association in 292 772 UK Biobank participants. Linear regression showed that elevated CRP concentration was associated with all included conditions. After adjustment for sociodemographic confounders, lifestyle and BMI, chronic kidney disease, heart failure, liver disease, psoriasis, rheumatoid arthritis and chronic obstructive pulmonary disease were still associated with elevated CRP. In contrast, the association between prevalent diabetes, prior myocardial infarction (MI), hypertension and sleep apnoea and CRP could be mostly explained by adiposity alone. For example, the 42% higher CRP concentrations in diabetes compared to those without diabetes in the unadjusted model (lnCRP β: 0.35; 95% confidence interval [CI]: 0.32–0.37, p < 0.001) were completely attenuated after adjustment for BMI (lnCRP β: −0.07; 95% CI: −0.09−0.05, p < 0.001).Conclusions/InterpretationIn diabetes, MI, hypertension and sleep apnoea and elevated CRP appears to be accounted for by the greater adiposity typically evident in these conditions. However, for the other conditions, systemic inflammation cannot be explained by excess adiposity alone.
Treatment of Traumatic Dental Injuries in the Public Dental Services—A Qualitative Exploration of Perceived Challenges and Needs
Authors: Cvijic Andjelka , Kvernenes Monika , Åstrøm Anne Nordrehaug , Tsilingaridis Georgios , Bletsa Athanasia 
Published: September 2024

ABSTRACTBackground/AimThis study explored perceived challenges in the management of traumatic dental injuries (TDI) among general dentists in the public dental service (PDS) of Vestland County in Western Norway and their needs for improving treatment care for TDI patients.Participants and MethodsThis qualitative study conducted three focus group discussions. We recruited a purposive sample of seven general dentists employed in the PDS in Vestland County in Western Norway. The three focus groups consisted of two, two, and three participants, respectively. The focus group discussion took place via the Microsoft electronic platform Teams, and it was visual, and audio recorded. Transcripts of the interviews were analyzed using systematic text condensation.ResultsThe general dentists in this study experienced the management of TDI as a set of complex procedures that require good theoretical knowledge, clinical experience, skills, and teamwork. We were able to group these challenges into three results categories: (1) proficiency challenges, (2) the challenge of stress and discomfort during dental procedures, and (3) the challenge of the organization of the PDS. The participants also expressed the need for practical courses, calibration, and refresher courses in dental traumatology. Their needs fell into two categories: (1) regular, clinically relevant continuing professional development and (2) collective efforts in TDI management.ConclusionIncreasing awareness of the challenges in TDI management and addressing the need for improved dental treatment for TDI patients may lead to targeted programs to enhance dentists' knowledge and skills. There is considerable potential for training dentists in dental traumatology.
Different model assumptions about plant hydraulics and photosynthetic temperature acclimation yield diverging implications for tropical forest gross primary production under warming
Authors: Zarakas Claire M. , Swann Abigail L. S. , Koven Charles D. , Smith Marielle N. , Taylor Tyeen C. 
Published: September 2024

AbstractTropical forest photosynthesis can decline at high temperatures due to (1) biochemical responses to increasing temperature and (2) stomatal responses to increasing vapor pressure deficit (VPD), which is associated with increasing temperature. It is challenging to disentangle the influence of these two mechanisms on photosynthesis in observations, because temperature and VPD are tightly correlated in tropical forests. Nonetheless, quantifying the relative strength of these two mechanisms is essential for understanding how tropical gross primary production (GPP) will respond to climate change, because increasing atmospheric CO2 concentration may partially offset VPD‐driven stomatal responses, but is not expected to mitigate the effects of temperature‐driven biochemical responses. We used two terrestrial biosphere models to quantify how physiological process assumptions (photosynthetic temperature acclimation and plant hydraulic stress) and functional traits (e.g., maximum xylem conductivity) influence the relative strength of modeled temperature versus VPD effects on light‐saturated GPP at an Amazonian forest site, a seasonally dry tropical forest site, and an experimental tropical forest mesocosm. By simulating idealized climate change scenarios, we quantified the divergence in GPP predictions under model configurations with stronger VPD effects compared with stronger direct temperature effects. Assumptions consistent with stronger direct temperature effects resulted in larger GPP declines under warming, while assumptions consistent with stronger VPD effects resulted in more resilient GPP under warming. Our findings underscore the importance of quantifying the role of direct temperature and indirect VPD effects for projecting the resilience of tropical forests in the future, and demonstrate that the relative strength of temperature versus VPD effects in models is highly sensitive to plant functional parameters and structural assumptions about photosynthetic temperature acclimation and plant hydraulics.
Alumina densification at low temperatures using CaV2O6 for LTCC application
Authors: Saraswathy Raji , Masin Basheer , Ashok Karunanidhi , Sreemoolanadhan HariharaIyer , Prabhakaran Kuttan 
Published: September 2024

AbstractLow‐temperature densification of alumina using calcium vanadate (CaV2O6, CV) having a similar dielectric constant as a liquid‐forming additive has been studied. The alumina‒CV composites containing 20‒40 vol.% CV achieve ∼94% of theoretical density at low temperatures of 1100°C‒900°C by liquid‐phase sintering. A reduction in the average size of grains from .87 to .42 µm with a surge in CV amount from 20 to 40 vol.% is observed. The permittivity decreases from 9.2 to 8.90, and the dielectric loss increases from 2.154 × 10‒3 to 4.761 × 10‒3 when the amount of CV in the alumina‒CV composite rises from 20 to 40 vol.%. The temperature coefficient of resonance frequency, thermal expansion coefficient, and thermal conductivity of the alumina‒CV composites are observed in the ranges of ‒54 to ‒72 ppm °C‒1, 6.94‒7.32 ppm °C‒1, and 13.78‒8.02 W m‒1 K‒1, respectively. The compatibility of the composites with Ag for low‐temperature co‐fired ceramics (LTCC) application is established through co‐sintering and energy‐Dispersive X‐ray spectroscopy line spectra analysis. The low‐temperature densification, acceptable range of dielectric and thermal properties, and silver compatibility make the alumina‒CV composite a candidate for LTCC application.
Implementing artificial intelligence to measure meat quality parameters in local market traceability processes
Authors: Alvarez‐García Wuesley Y. , Mendoza Laura , Muñoz‐Vílchez Yudith , Nuñez‐Melgar David Casanova , Quilcate Carlos 
Published: September 2024

SummaryThe application of computer technologies associated with sensors and artificial intelligence (AI) in the quantification and qualification of quality parameters of meat products of various domestic species is an area of research, development, and innovation of great relevance in the agri‐food industry. This review covers the most recent advances in this area, highlighting the importance of computer vision, artificial intelligence, and ultrasonography in evaluating quality and efficiency in meat products' production and monitoring processes. Various techniques and methodologies used to evaluate quality parameters such as colour, water holding capacity (WHC), pH, moisture, texture, and intramuscular fat, among others related to animal origin, breed and handling, are discussed. In addition, the benefits and practical applications of the technology in the meat industry are examined, such as the automation of inspection processes, accurate product classification, traceability, and food safety. While the potential of artificial intelligence associated with sensor development in the meat industry is promising, it is crucial to recognise that this is an evolving field. This technology offers innovative solutions that enable efficient, cost‐effective, and consumer‐oriented production. However, it also underlines the urgent need for further research and development of new techniques and tools such as artificial intelligence algorithms, the development of more sensitive and accurate multispectral sensors, advances in computer vision for 3D image analysis and automated detection, and the integration of advanced ultrasonography with other technologies. Also crucial is the development of autonomous robotic systems for the automation of inspection processes, the implementation of real‐time monitoring systems for traceability and food safety, and the creation of intuitive interfaces for human‐machine interaction. In addition, the automation of sensory analysis and the optimisation of sustainability and energy efficiency are key areas that require immediate attention to address the current challenges in this agri‐food and agri‐industrial sector, highlighting and emphasising the importance of ongoing innovation in the field.
‘I Can't See Myself Seeking Help’: The Influence of Clinical Placements on Nursing Students' Stigmatising Beliefs and Intentions to Seek Help for Their Own Mental Health Issues: A Prospective Cohort Study
Authors: Moxham Lorna , Roberts Michelle , Yousiph Taylor , Jay Elissa‐Kate , Lewer Kelly , Robson Georgia , Drury Peta , Cordina Joanne , Villeneuve‐Smith Suzi , Patterson Christopher 
Published: September 2024

ABSTRACTMental health conditions such as anxiety, depression and psychosis represent a global health challenge. Stigma surrounding mental health continues to hinder help‐seeking behaviours for people with mental illness and as this study demonstrates, nursing students as well. However, if student nurses are reluctant to seek help for mental health issues, how can others be expected to do so? This reluctance poses challenges in mental health nursing, impacting both care provision and nursing education. The present study seeks to explore the influence of traditional versus non‐traditional mental health clinical placements on second‐year nursing students' stigmatising beliefs and intentions to seek help for mental health issues. Employing a prospective cohort design using the TREND checklist, the study sampled second‐year nursing students assigned to either traditional hospital‐based or non‐traditional recovery‐focused mental health clinical placements. Using validated scales, stigmatising beliefs and help‐seeking intentions were measured before and after the placements. Statistical analyses were conducted to assess changes in these variables over time and across placement settings. A significant impact of placement setting on help‐seeking intentions was observed, with students in non‐traditional placements showing an increased willingness to seek help. Additionally, non‐traditional placements were found to significantly reduce stigmatising beliefs in all measured domains, suggesting that these settings may provide a more conducive environment for fostering positive attitudes towards mental health. Recovery‐focused placements appear to offer experiences that can diminish stigma and encourage more positive perceptions and intentions related to mental health support.
Sir Henry Parkes and the Relationships That Enabled Nightingale Nursing to Advance Mental Healthcare in Nineteenth Century Australia
Authors: Raeburn Toby , McDonald Paul , Schapiro Sophie , O'Reilly Rebecca 
Published: September 2024

ABSTRACTThis position paper explores famous colonial Australian politician Sir Henry Parkes use of relationships to reform colonial Australian mental healthcare by facilitating the integration of Nightingale‐trained nurses into hospitals for the insane in the late nineteenth century. A review of historical sources including primary documents reveals that Parkes exhibited astute political skill by developing relationships with influential healthcare leaders such as Florence Nightingale, Lucy Osburn and Dr. Frederic Norton Manning. As Parkes cultivated friendships with such people, he was able to sow seeds for the deployment of Nightingale nurses including two members from the original group of six nurses sent by Nightingale to Australia in 1868, as well as three nurses trained under their supervision (probationers) into hospitals for the insane. This historical account provides evidence that enables current‐day nurses to understand ways in which events of the past have contributed to the development of present‐day mental health services and systems. Parkes' legacy also encourages contemporary nurses who are interested in change to consider the importance of forging diverse strategic relationships to bring their own visions into reality.
Being Open to a Process of Learning: The Meaning of Joint Activities With Patients as Narrated by Nursing Staff in Psychiatric Inpatient Care
Authors: Glantz Andreas , Wiklund Gustin Lena , Nilsson Ingeborg , Westerlund Anna , Molin Jenny 
Published: September 2024

ABSTRACTForming therapeutic relationships is considered important within psychiatric and mental health nursing. One way of achieving this is through social interaction when engaging in joint activities. However, introducing and using nursing interventions based on joint activities in psychiatric inpatient care has proven challenging. Since staff motivation is important, researching the meaning of engaging in joint activities from the nursing professional's point of view can provide information that is relevant in this area. This study aims to illuminate the meaning of participating in joint activities with patients as narrated by nursing professionals in psychiatric inpatient care. Narrative interviews with 14 nursing professionals with experience from psychiatric inpatient care were conducted. Data were analysed using phenomenological hermeneutics and reported following the consolidated criteria for reporting qualitative research (COREQ) guidelines. Results illuminate that engaging in joint activities means being open to a process of learning. Four themes contributed to this understanding: Struggling with uncertainty, discovering aspects of the other, unfolding paths to self‐fulfilment and sharing personhood. Being open to a process of learning means being willing to face uncertainty when engaging in activities as well as being open to learning about oneself as well as the other. Through openness to this process of learning, a sharing of personhood can be achieved, where the nursing professional and the patient approach becoming two persons. Illuminating the meaning of joint activities from the nursing professionals' perspective may provide valuable insights related to introducing and using interventions focusing on joint activities.