bluuebunny/crossref_metadata_2025_split huggingface dataset:
Postoperative cognitive dysfunction: a concept analysis
Authors: Varpaei Hesam Aldin , Farhadi Kousha , Mohammadi Mostafa , Khafaee pour khamseh Alireza , Mokhtari Tahereh 
Published: June 2024

Abstract
Background
Post-operative cognitive dysfunction (POCD) is a concern for clinicians that often presents post-surgery where generalized anesthesia has been used. Its prevalence ranges from 36.6% in young adults to 42.4% in older individuals. Conceptual clarity for POCD is lacking in the currently body literature. Our two-fold purpose of this concept analysis was to (1) critically appraise the various definitions, while also providing the best definition, of POCD and (2) narratively synthesize the attributes, surrogate or related terms, antecedents (risk factors), and consequences of the concept.

Method
The reporting of our review was guided by the PRISMA statement and the 6-step evolutionary approach to concept analysis developed by Rodgers. Three databases, including Medline, CINAHL, and Web of Science, were searched to retrieve relevant literature on the concept of POCD. Two independent reviewers conducted abstract and full-text screening, data extraction, and appraisal. The review process yielded a final set of 86 eligible articles.

Result
POCD was defined with varying severities ranging from subtle-to-extensive cognitive changes (1) affecting single or multiple cognitive domains that manifest following major surgery (2), is transient and reversible, and (3) may last for several weeks to years. The consequences of POCD may include impaired quality of life, resulting from withdrawal from the labor force, increased patients’ dependencies, cognitive decline, an elevated risk of dementia, rising healthcare costs, and eventual mortality.

Conclusion
This review resulted in a refined definition and comprehensive analysis of POCD that can be useful to both researchers and clinicians. Future research is needed to refine the operational definitions of POCD so that they better represent the defining attributes of the concept.
Prevalence of cognitive frailty and its associated factors in a population of Iranian older adults
Authors: Ghanbarnia Mohammad Javad , Hosseini Seyed Reza , Ahangar Alijan Ahmadi , Ghadimi Reza , Bijani Ali 
Published: June 2024

Abstract
Background
In recent years cognitive frailty has emerged as an important predictor of adverse health outcomes in older adults. Herein, we aimed to investigate the prevalence and associated factors of cognitive frailty in a population of community-dwelling older adults in Iran.

Method
This cross-sectional study was conducted as part of the second cycle of the Amirkola Health and Aging Project (AHAP). Physical frailty and cognitive impairment were evaluated using the FRAIL questionnaire and the mini-mental state examination (MMSE) respectively. Cognitive frailty was defined as co-existence of frailty and cognitive impairment without presence of dementia. Depression and disability were assessed using the Persian version of geriatric depression scale (GDS) and instrumental activities of daily living (IADL) questionnaire.

Results
Overall 1775 individuals (47.1% female) with mean age of 69.7 ± 7.3 years were included in the final analysis. The prevalence of cognitive frailty was 12.0%. The prevalence of cognitive frailty among males and females was 4.3% and 20.7%, respectively. After adjusting for all possible confounders through binary logistic regression analysis, factors such as older age (OR 1.06, CI 1.03–1.09), female gender (OR 2.25, CI 1.42–3.57), illiteracy (OR 3.84, CI 2.03–8.29), more comorbidities (OR 1.21, CI 1.12–1.31), depression (OR 2.01, CI 1.40–2.86), and greater IADL disability (OR 1.68, CI 1.44–3.96), were independently and significantly associated with cognitive frailty.

Conclusion
In this population of Iranian older adults, prevalence of cognitive frailty was consistent with its estimated mean global prevalence. Age, gender, illiteracy, comorbidities, depression and IADL disability were associated with cognitive frailty. Further research is required to develop screening tools and prevention strategies.
Utilizing intelligent technologies in construction and demolition waste management: From a systematic review to an implementation framework
Authors: Wu Zezhou , Pei Tianjia , Bao Zhikang , Ng S. Thomas , Lu Guoyang , Chen Ke 
Published: June 2024

AbstractThe rapid increase in global urbanization, along with the growth of the construction industry, highlights the urgent need for effective management of construction and demolition (C&D) waste. Intelligent technologies offer a viable solution to this critical challenge. However, there remains a significant challenge in integrating these technologies into a cohesive framework. This study conducts a quantitative analysis of 214 papers from 2000 to 2023, highlighting the extensive use of artificial intelligence (AI) and building information modeling (BIM), along with geographic information systems (GIS) and big data (BD). A further qualitative analysis of 73 selected papers investigates the use of seven different intelligent technologies in the context of C&D waste management (CDWM). To overcome current limitations in knowledge, future research should concentrate on (1) the comprehensive integration of technology, (2) inclusive studies throughout all lifecycle phases of CDWM, and (3) the continued examination of new technologies, such as blockchain. Based on these insights, this study suggests a strategic framework for the effective implementation of intelligent technologies in CDWM. This framework aims to assist professionals in merging various technologies, undertaking lifecycle-wide research, and narrowing the divide between existing and new technologies. It also lays a solid foundation for future academic work to examine specific intelligent technologies, conduct comparative studies, and refine strategic decisions. Regular updates on technological developments are essential for stakeholders to consistently enhance CDWM standards.
Prospective clinical study of the efficacy and safety of different doses of PEG recombinant human granulocyte colony-stimulating factor (PEG-rhG-CSF) for preventing leukopenia/neutropenia caused by concurrent chemoradiotherapy for cervical cancer
Authors: Yu Tingting , Zhang Yiwei , Li Jiawen , Li Zhuo , Tong Rui 
Published: June 2024

Abstract
Objective
The efficacy and safety of different doses of PEG recombinant human granulocyte colony-stimulating factor (PEG-rhG-CSF) in the prevention of leukopenia/neutropenia during concurrent chemoradiotherapy for cervical cancer were investigated.

Methods
The patients who received concurrent radiotherapy and chemotherapy for cervical cancer from June 2020 to January 2023 were selected to evaluate the difference in efficacy, adverse reactions, and treatment cost of PEG-rhG-CSF in the prevention of leukopenia/neutropenia between the test group and the control group.

Results
The minimum value of leukopenia/neutropenia in the test group was significantly higher than that in the control group (P < 0.05). The incidence of grade ≥ 3 leukopenia/neutropenia was significantly lower than that of the control group (P < 0.05). The number of interrupted days of radiotherapy was less than that of the control group (P < 0.05). PEG-rhG-CSF of different prophylactic doses (100 μg/kg dose or 50 μg/kg dose) had similar prophylactic effects in the test group, OR=1.192 (0.761, 1.868), P=0.443.

Conclusion
Prophylactic application of PEG-rhG-CSF could reduce the incidence of leukopenia/neutropenia in cervical cancer during concurrent chemoradiotherapy. There was no significant difference in efficacy and safety with prophylactic use of drug at doses of 100 μg/kg and 50 μg/kg.
Parameterized Internal Wave Mixing in Three Ocean General Circulation Models
Authors: Brüggemann Nils , Losch Martin , Scholz Patrick , Pollmann Friederike , Danilov Sergey , Gutjahr Oliver , Jungclaus Johann , Koldunov Nikolay , Korn Peter , Olbers Dirk , Eden Carsten 
Published: June 2024

AbstractThe non‐local model of mixing based on internal wave breaking, IDEMIX, is implemented as an enhancement of a turbulent kinetic energy closure model in three non‐eddy resolving general circulation ocean models that differ in the discretization and choice of computational grids. In IDEMIX internal wave energy is generated by an energy flux resulting from near‐inertial waves induced by wind forcing at the surface, and at the bottom, by an energy flux that parameterizes the transfer of energy between baroclinic and barotropic tides. In all model simulations with IDEMIX, the mixing work is increased compared to the reference solutions without IDEMIX, reaching values in better agreement with finestructure observations. Furthermore, the horizontal structure of the mixing work is more realistic as a consequence of the heterogeneous forcing functions. All models with IDEMIX simulate deeper thermocline depths related to stronger shallow overturning cells in the Indo‐Pacific. In the North Atlantic, deeper mixed layers in simulations with IDEMIX are associated with an increased Atlantic overturning circulation and an increase of northward heat transports toward more realistic values. The response of the deep Indo‐Pacific overturning circulation and the weak bottom cell of the Atlantic to the inclusion of IDEMIX is incoherent between the models, suggesting that additional unidentified processes and numerical mixing may confound the analysis. Applying different tidal forcing functions leads to simulation differences that are small compared to differences between the different models or between simulations with IDEMIX and without IDEMIX.
Utility of plasma anti-gSG6-P1 IgG levels in determining changes in Anopheles gambiae bite rates in a rural area of Cameroon
Authors: Nguetsa Glwadys Cheteug , Elanga-Ndille Emmanuel , Essangui Same Estelle Géraldine , Nganso Keptchouang Tatiana , Mandeng Stanilas Elysée , Ekoko Eyisap Wolfgang , Binyang Jérome Achille , Fogang Balotin , Nouage Lynda , Piameu Micheal , Ayong Lawrence , Etang Josiane , Wanji Samuel , Eboumbou Moukoko Carole Else 
Published: June 2024

AbstractThe applicability of the specific human IgG antibody response to Anopheles gambiae salivary Gland Protein-6 peptide 1 (gSG6-P1 salivary peptide) as a biomarker able to distinguish the level of exposure to mosquito bites according to seasonal variations has not yet been evaluated in Central African regions. The study aimed to provide the first reliable data on the IgG anti-gSG6-P1 response in rural area in Cameroon according to the dry- and rainy-season. Between May and December 2020, dry blood samples were collected from people living in the Bankeng village in the forest area of the Centre region of Cameroon. Malaria infection was determined by thick-blood smear microscopy and multiplex PCR. The level of IgG anti-gSG6-P1 response, was assessed by enzyme-linked immunosorbent assay. Anopheles density and aggressiveness were assessed using human landing catches. The prevalence of malaria infection remains significantly higher in the rainy season than in the dry season (77.57% vs 61.44%; p = 0.0001). The specific anti-gSG6-P1 IgG response could be detected in individuals exposed to few mosquito bites and showed inter-individual heterogeneity even when living in the same exposure area. In both seasons, the level of anti-gSG6-P1 IgG response was not significantly different between Plasmodium infected and non-infected individuals. Mosquito bites were more aggressive in the rainy season compared to the dry season (human biting rate-HBR of 15.05 b/p/n vs 1.5 b/p/n) where mosquito density was very low. Infected mosquitoes were found only during the rainy season (sporozoite rate = 10.63% and entomological inoculation rate-EIR = 1.42 ib/p/n). The level of IgG anti-gSG6-P1 response was significantly higher in the rainy season and correlated with HBR (p ˂ 0.0001). This study highlights the high heterogeneity of individual’s exposure to the Anopheles gambiae s.l vector bites depending on the transmission season in the same area. These findings reinforce the usefulness of the anti-gSG6-P1 IgG response as an accurate immunological biomarker for detecting individual exposure to Anopheles gambiae s.l. bites during the low risk period of malaria transmission in rural areas and for the differentiating the level of exposure to mosquitoes.
Effects of different types of exercise intensity on improving health-related physical fitness in children and adolescents: a systematic review
Authors: Zhou Xianxian , Li Jiayu , Jiang Xiaoping 
Published: June 2024

AbstractA substantial body of empirical evidence reveals that physical activity is associated with a wide range of positive physical and mental health outcomes. However, an absence of comprehensive syntheses is observed concerning the varying effects of different exercise intensities on the improvement of physical health among children and adolescents. The aim of this review is to systematically investigate the effects of different exercise intensities on the physical fitness of children and adolescents, to analyses the optimal exercise intensities for improving physical fitness, and to provide a relevant theoretical basis for optimizing school physical education curricula. A systematic search strategy was used in this study in four online databases (PubMed, Scopus, EBSCO and Web of Science). Intervention studies that met the inclusion criteria underwent a thorough screening process, and their methodological quality was assessed utilizing the PEDro scale. The selected literature was systematically analyzed and evaluated through induction, summary, analysis, and evaluation. These findings indicate that high-intensity exercise training exerts significant positive effects on body composition, cardiopulmonary function and muscle fitness in children and adolescents. Therefore, we suggest that schools should focus on high-intensity sports in their physical education curriculum, which can further improve the student's PHYSICAL FITNESS.
Validity of OSDI-6 questionnaire in a Chinese adult population
Authors: Qin Guanghao , Moutari Salissou , Chen Jiayan , Xu Ling , He Wei , He Xingru , Pazo Emmanuel Eric , Yu Sile 
Published: June 2024

AbstractThis study aimed to evaluate the validity of the Chinese translation version of OSDI-6 (C-OSDI-6) using a virtual set-up questionnaire for dry eye disease. A total of 270 participants (136 males, 50.4% and 134 females, 49.6%) with a mean age of 28.22 ± 9.01 years were assessed, diagnosed under the criteria put forth by Dry Eye Workshop completed the Chinese translated version of the OSDI-12 questionnaire (C-OSDI-12). Validity and psychometric properties were analyzed using the study data on the selected items (a new approach called virtual validation). The six items were extracted from the C-OSDI-12 as suggested by the authors of OSDI-6 and compared. The total scores of C-OSDI-12 and C-OSDI-6 were 30.27 ± 13.19 and 6.95 ± 3.53, respectively. Significant reliability was found between the total C-OSDI-6 score and the total C-OSDI-12 score (r = 0.865, p < 0.001). Infits and outfits of the C-OSDI-6 were between 1.26 and 0.78.The C-OSDI-6 proved valid and psychometrically responsive in Chinese adult dry eye participants. The findings of this virtual validation study need to be confirmed in a longitudinal validation study on real-world use.
NOTCH3 as a prognostic biomarker and its correlation with immune infiltration in gastrointestinal cancers
Authors: Xu Jia , Jin Xiao-li , Shen Hao , Chen Xuan-wei , Chen Jin , Huang Hui , Xu Bin , Xu Jian 
Published: June 2024

AbstractNOTCH receptor 3 (NOTCH3) is known to regulate the transcription of oncogenes or tumor suppressor genes, thereby playing a crucial role in tumor development, invasion, maintenance, and chemotherapy resistance. However, the specific mechanism of how NOTCH3 drives immune infiltration in gastrointestinal cancer remains uncertain. The expression of NOTCH3 was analyzed through Western blot, PCR, Oncomine database, and the Tumor Immune Estimation Resource (TIMER) site. Kaplan–Meier plotter, PrognoScan database, and gene expression profile interactive analysis (GEPIA) were used to assess the impact of NOTCH3 on clinical prognosis. The correlation between NOTCH3 expression and immune infiltration gene markers was investigated using TIMER and GEPIA. NOTCH3 was found to be commonly overexpressed in various types of gastrointestinal tumors and was significantly associated with poor prognosis. Furthermore, the expression level of NOTCH3 showed a significant correlation with the tumor purity of gastrointestinal tumors and the extent of immune infiltration by different immune cells. Our findings suggest that NOTCH3 may act as a crucial regulator of tumor immune cell infiltration and can serve as a valuable prognostic biomarker in gastrointestinal cancers.
Comparing human text classification performance and explainability with large language and machine learning models using eye-tracking
Authors: Divya Venkatesh Jeevithashree , Jaiswal Aparajita , Nanda Gaurav 
Published: June 2024

AbstractTo understand the alignment between reasonings of humans and artificial intelligence (AI) models, this empirical study compared the human text classification performance and explainability with a traditional machine learning (ML) model and large language model (LLM). A domain-specific noisy textual dataset of 204 injury narratives had to be classified into 6 cause-of-injury codes. The narratives varied in terms of complexity and ease of categorization based on the distinctive nature of cause-of-injury code. The user study involved 51 participants whose eye-tracking data was recorded while they performed the text classification task. While the ML model was trained on 120,000 pre-labelled injury narratives, LLM and humans did not receive any specialized training. The explainability of different approaches was compared based on the top words they used for making classification decision. These words were identified using eye-tracking for humans, explainable AI approach LIME for ML model, and prompts for LLM. The classification performance of ML model was observed to be relatively better than zero-shot LLM and non-expert humans, overall, and particularly for narratives with high complexity and difficult categorization. The top-3 predictive words used by ML and LLM for classification agreed with humans to a greater extent as compared to later predictive words.
Clinical prediction model for red cell blood transfusion in elective primary posterior lumbar spine fusion
Authors: Pirot Chatchawan , Tantrakansakun Chakkraphan , Sirithiantong Todsaporn 
Published: June 2024

AbstractOverestimated the cross-match of preoperative PRC preparation for elective primary lumbar spinal fusion needs revision for cost-effectiveness. We aimed to develop a novel preoperative predictive model for appropriate PRC preparation. This clinical prediction model in a retrospective cohort was studied between January 2015 and September 2022. Multivariate logistic regression models were used to assess predictive variables. The logistic coefficient of each predictor generated scores to establish a predictive model. The area under the receiver operating characteristic curve (AuROC) was used to evaluate the model. The predictive performance was validated using bootstrapping techniques and externally validated in 102 independent cases. Among 416 patients, 178 (43%) required transfusion. Four final predictors: preoperative hematocrit level, laminectomy level, transforaminal lumbar interbody fusion level, and sacral fusion. When categorized into two risk groups, the positive predictive values for the low-risk score (≤ 4) were 18.4 (95% Cl 13.9, 23.6) and 83.9 (95% CI 77.1, 89.3) for the high-risk score (> 4). AuROC was 0.90. Internal validation (bootstrap shrinkage = 0.993) and external validation (AuROC: 0.91). A new model demonstrated exemplary performance and discrimination in predicting the appropriate preparation for PRC. This study should be corroborated by rigorous external validation in other hospitals and by prospective assessments.
Vaccine-associated axillary lymphadenopathy with a focus on COVID-19 vaccines
Authors: Wilpert Caroline , Wenkel Evelyn , Baltzer Pascal Andreas Thomas , Fallenberg Eva Maria , Preibsch Heike , Sauer Stephanie Tina , Siegmann-Luz Katja , Weigel Stefanie , Wunderlich Petra , Wessling Daniel 
Published: June 2024

AbstractAxillary lymphadenopathy (LA) after COVID-19 vaccination is now known to be a common side effect. In these cases, malignancy cannot always be excluded on the basis of morphological imaging criteria.Narrative review for decision-making regarding control and follow-up intervals for axillary LA according to currently published research. This article provides a practical overview of the management of vaccine-associated LA using image examples and a flowchart and provides recommendations for follow-up intervals. A particular focus is on patients presenting for diagnostic breast imaging. The diagnostic criteria for pathological lymph nodes (LN) are explained.Axillary LA is a common adverse effect after COVID-19 vaccination (0.3–53%). The average duration of LA is more than 100 days. LA is also known to occur after other vaccinations, such as the seasonal influenza vaccine. Systematic studies on this topic are missing. Other causes of LA after vaccination (infections, autoimmune diseases, malignancies) should be considered for the differential diagnosis. If the LA persists for more than 3 months after COVID-19 vaccination, a primarily sonographic follow-up examination is recommended after another 3 months. A minimally invasive biopsy of the LA is recommended if a clinically suspicious LN persists or progresses. In the case of histologically confirmed breast cancer, a core biopsy without a follow-up interval is recommended regardless of the vaccination, as treatment appropriate to the stage should not be influenced by follow-up intervals. For follow-up after breast cancer, the procedure depends on the duration of the LA and the woman’s individual risk of recurrence.Vaccination history should be well documented and taken into account when evaluating suspicious LN. Biopsy of abnormal, persistent, or progressive LNs is recommended. Preoperative staging of breast cancer should not be delayed by follow-up. The risk of false-positive findings is accepted, and the suspicious LNs are histologically examined in a minimally invasive procedure.
Ruthenium Chloride Catalyzed One-Pot Synthesis of Aldehydes Directly from Benzylic or Primary Alkyl Halides in Aqueous Medium
Authors: Muthaiah Senthilkumar , Kiran Kiran 
Published: June 2024

AbstractWe report the first example of an acid- and oxidant-free one-pot conversion of benzylic or primary alkyl halides into aldehydes by using simple ruthenium chloride as the catalyst. The developed synthetic strategy is pot-economical and is also cheap as it uses hexamethylenetetramine as a reagent, employs as little as 0.5 mol% of ruthenium chloride, and efficiently converts the benzylic or primary alkyl halides into aldehydes in aqueous medium. The methodology was also found to be highly selective, as it forms the aldehyde product exclusively without forming possible byproducts, namely amines or carboxylic acids. The methodology is also superior in comparison with the conventional Sommelet and Kornblum oxidation reactions as it avoids the use of excess acid or DMSO, and uses very cheap and ecofriendly hexamethylenetetramine as both the formylating agent and base. The recyclability of the developed catalyst system was also tested, and showed excellent activities for up to three cycles.