bluuebunny/crossref_metadata_2025_split huggingface dataset:
Facilitating and Constraining Factors for Achievement of Strategic Health Sector Results: Findings From a Qualitative Study of 15 Councils in Tanzania
Authors: Jiyenze Mwandu Kini , Tundui Charles , Mollel Henry 
Published: December 2024

ABSTRACTStrategic planning and strategic plans have gained popularity in the public sectors, including the health sector. However, the factors that facilitate and constrain the achievement of strategic planning outcomes have remained key research questions in the public sector and the health sector. From the perspectives of the council health managers, we explored the factors that facilitated or constrained the achievement of strategic results set out in the 2015–2020 Health Sector Strategic Plan in Tanzania Mainland. We conducted a qualitative study using a purposive sample of 15 council health managers from 15 councils in Tanzania. Qualitative data were collected using semi‐structured interviews. We analysed our data using a thematic analysis approach. Our study found facilitators and barriers to achieving strategic health sector results grouped under five domains: resources availability; management, leadership and governance; strategic collaboration and joint working with implementing partners (NGOs); community factors; and recent reforms in the health sector. Our study has generated insights into factors that facilitate or hinder the effective achievement of strategic health sector results at the council level. The Ministry of Health, the President's Office‐ Regional Administration and Local governments, and health sector development partners should timely provide funds, human resources, health commodities and medical equipment to councils, strengthen health management and leadership at the council level, ensure health education is provided to the community members on health services.
Patterns of Family Adversity and Bullying Involvement in Adolescents: Association With Mental Health Problems
Authors: Liu Mingxiao , Liu Aiyi , Lin Wenzhou , Yu Xiaoqing , Wu Xinchun 
Published: December 2024

ABSTRACTIntroductionFamily and school environments are pivotal in adolescent development. However, the simultaneous examination of adversities in both domains remains understudied. Based on bioecological and spillover theories, this study aimed to bridge this research gap by using latent profile analysis to identify distinct patterns of family adversity and bullying involvement among Chinese adolescents. This study also explored mental health problems associated with these patterns.MethodsThis study was conducted in June (T1) and December (T2) 2023, with a 6‐month interval, in Henan Province, China, and involved 2,568 adolescents (50.3% girls, Mage = 13.46 ± 0.72). Participants completed questionnaires assessing family adversity and bullying involvement at T1, as well as assessments of depressive symptoms, anxiety symptoms, suicide risk, and complex posttraumatic stress disorder symptoms at both T1 and T2.ResultsSix profiles were identified: low adversity and bullying (69.0%, n = 1,771), abuse only (10.9%, n = 279), neglect only (4.5%, n = 115), bullying involvement only (3.7%, n = 96), moderate adversity and bullying with severe abuse (6.9%, n = 176), and moderate adversity and bullying with severe neglect (5.1%, n = 131). Importantly, the severity of mental health problems varied significantly across these profiles.ConclusionThe study enriches our understanding of concurrent family adversity and bullying involvement and their impact on adolescent mental health, offering insights for tailored intervention strategies for affected groups.
Establishment and Application of a Dual Immunoassay Method Based on ICP‐MS for Stable Element Labeling Antibodies
Authors: Ji Xuyao , Wu Jing , Zhang Jing , Yang Wenxu , Liu Yu 
Published: December 2024

ABSTRACTBackgroundTo establish a dual immunoassay based on inductively coupled plasma mass spectrometry (ICP‐MS) with stable element labeling antibodies for the simultaneous detection of alpha‐fetoprotein (AFP) and prostate‐specific antigen (PSA) in serum and evaluate its performance and clinical sample validation.MethodsThe immunoassay system based on the double antibody sandwich method was established using magnetic beads as solid‐phase carriers and rare earth elements europium (Eu) and samarium (Sm) as element tags. The test conditions were optimized. According to the Clinical Laboratory Standards Institute (CLSI) guidelines and the “Guidelines for Performance Validation of Clinical Chemistry Quantitative Testing Procedures,” performance validation was conducted using the established method, followed by clinical sample validation.ResultsThe LOD and AMR for AFP were 0.76 ng/mL and 1.5–1200 ng/mL, respectively; the LOD and AMR for PSA were 0.41 ng/ mL and 0.5–250 ng/ mL, respectively. The intra‐batch precision for AFP and PSA was all less than 3.33%, and the inter‐batch precision for AFP and PSA was all less than 4.97%. The recoveries of AFP and PSA were 95.08%–104.18% and 97.65%–100.72%, respectively. The correlation coefficients between the established and the CLIA methods were r = 0.9930 for AFP and r = 0.9852 for PSA.ConclusionsWe have developed a dual immunoassay method based on ICP‐MS, which can quantitatively detect AFP and PSA in serum within a single analysis. This method exhibits good precision, a wide linear range, and high specificity, meeting the requirements for clinical sample detection and holding potential for clinical application.
FGFR3 Upregulates Interferon‐Stimulated Genes Via the JAK1‐STAT1 Signaling Pathway in HPV2 E2 Stable Expressing Keratinocytes
Authors: Guo Qingqing , Wei Xuanjin , Qi Jiayue , Li Chengxin , Xie Fang 
Published: December 2024

ABSTRACTHuman papillomavirus (HPV) infections are prevalent skin infectious diseases. While there are no specific anti‐HPV drugs available, understanding the viral mechanisms could lead to novel therapeutic strategies. Verruca vulgaris, a common HPV infection, is frequently encountered in dermatological clinics. The HPV E2 protein, an early viral protein, has been implicated in high‐risk HPV infections by interacting with fibroblast growth factor receptor 3 (FGFR3) to inhibit viral DNA replication. However, the role of HPV E2 and FGFR3 in low‐risk HPV infections remains elusive. Our study takes HPV2, a common subtype of verruca vulgaris, to explore the proliferation and immune regulatory effects of HPV2 E2 on keratinocytes. By overexpressing FGFR3 in HPV2 E2 stable expressing keratinocytes, we assessed changes in interferon‐stimulated genes (ISGs) level and cell proliferation. Our findings revealed that HPV2 E2 induced phosphorylation of FGFR3 could activate JAK1‐STAT1 pathway, thereby enhancing antiviral immunity through the upregulation of ISGs. Furthermore, we observed co‐localization and interaction between FGFR3 and HPV2 E2 in keratinocytes. In conclusion, our study underscores the crucial role of FGFR3 in innate antiviral immunity against HPV2 infection in keratinocytes. These findings may provide a potential therapeutic target for HPV infections.
Insights Into Retinal Pathologies in Neurological Disorders: A Focus on Parkinson's Disease, Multiple Sclerosis, Amyotrophic Lateral Sclerosis, and Alzheimer's Disease
Authors: Akyuz Enes , Aslan Feyza Sule , Hekimoglu Abdulhekim , Yilmaz Beyza Nur 
Published: December 2024

ABSTRACTNeurological diseases are central nervous system (CNS) disorders affecting the whole body. Early diagnosis of the diseases is difficult due to the lack of disease‐specific tests. Adding new biomarkers external to the CNS facilitates the diagnosis of neurological diseases. In this respect, the retina has a common embryologic origin with the CNS. Retinal imaging technologies including optical coherence tomography (OCT) can be used in the understanding and processual monitoring of neurological diseases. Retinal imaging has been recently recognized as a potential source of biomarkers for neurological diseases, increasing the number of studies in this direction. In this review, the association of retinal abnormalities with Parkinson's disease (PD), multiple sclerosis (MS), amyotrophic lateral sclerosis (ALS), and Alzheimer's disease (AD) is explained. Structural and functional abnormalities in retina as a predictive marker may facilitate early diagnosis of diseases. Although not all retinal abnormalities are predictive of neurologic diseases, changes in the retinal layers including retinal pigment epithelium and plexiform layers should suggest the risk of PD, MS, ALS, and AD.
D1 Receptor Functional Asymmetry at Striatonigral Neurons: A Neurochemical and Behavioral Study in Male Wistar Rats
Authors: Pérez Ihosvany Rodríguez , Avalos‐Fuentes José Arturo , Paz‐Bermúdez Francisco , Cortes Hernan , Medina Gisela Tovar , Jijón‐Lorenzo Rafael , Florán Benjamín 
Published: December 2024

ABSTRACTLateralization of motor behavior, a common phenomenon in humans and several species, is modulated by the basal ganglia, a site pointed out for the interhemispheric differences related to lateralization. Our study aims to shed light on the potential role of the striatonigral D1 receptor in functional asymmetry in normal conditions through neurochemical and behavioral means. We found that D1 receptor activation and D1/D3 receptor coactivation in striatonigral neurons leads to more cAMP production by adenylyl cyclase in the striatum and GABA release in their terminals in the right hemisphere compared to the left. These differences are linked to a higher receptor sensitivity and potentially a better coupling of Golf proteins. When we assessed motor behavior through intranigral injection of the D1 receptor agonist SKF 38393 in the left or right substantia nigra, we found higher contralateral circling when injected on the right side. Thus, differences in motor activity correlate with neurochemical data, indicating that D1 receptor signaling plays a significant role in motor asymmetry.
The Use of Artificial Intelligence (AI) in Talent Acquisition: The Case of Greek Luxury Hotels
Authors: Marinakou Evangelia , Giousmpasoglou Charalampos , Papavasileiou Emmanouil F. 
Published: December 2024

ABSTRACTThis study introduces a framework for the adoption of Artificial Intelligence (AI) driven technology to talent acquisition processes in luxury hotels. This qualitative study employed 23 semi‐structured interviews to explore the perceptions of professionals on AI in luxury hotels in Greece. The findings highlight the benefits of AI‐enabled technologies in talent acquisition, including speed, reliability and enhanced candidate communication, however, human interaction remains pivotal at critical stages. The model proposed includes six stages in the AI‐Talent Acquisition process, serving as a practical guide for practitioners and researchers. This study contributes to the AI‐HRM strategic change field by offering theoretical and practical insights. To the best of the authors' knowledge, it represents one of the initial empirical attempts to develop a comprehensive AI‐Talent Acquisition framework, providing valuable implications for ongoing research and implementation in this domain.
Improving the Evaluation of Aesthetic Outcomes in DIEP Flap Breast Reconstruction: Validation of the Aesthetic Grading Tool
Authors: Stern Carrie S. , Shammas Ronnie L. , Montes Elizabeth Smith , Boe Lillian A. , Wang Jen , White Donovan , Graziano Francis D. , Mehrara Babak J. , Allen Robert J. , Nelson Jonas A. 
Published: December 2024

ABSTRACTIntroductionThis study aimed to develop and validate an aesthetic grading tool (AGT) for bilateral DIEP flap breast reconstruction and investigate the correlation of BREAST‐Q scores with perceived aesthetic outcomes.MethodsThe AGT utilized a Likert scale to rate aesthetic outcomes based on photographs of post‐reconstruction breasts. The validation involved iterative testing with healthcare providers and patients. A two‐way mixed effects model estimated the intraclass correlation coefficients (ICC) to assess intra‐rater and inter‐rater reliability. Pearson Correlation Coefficients explored the relationship between aesthetic ratings and BREAST‐Q Satisfaction with Breasts scores.ResultsThe AGT demonstrated substantial intra‐rater reliability (ICC = 0.74, 95% CI: 0.64–0.79) and moderate to very strong inter‐rater reliability across respondents after iterative revisions (ICC = 0.75, 95% CI: 0.59–0.91). Pearson Correlation analysis revealed no significant relationship between AGT scores and BREAST‐Q scores when surveying healthcare providers (mean = 0.145, 95% CI: [−0.35, 0.32], p = 0.94) (median = 0.06, 95% CI: [−0.28, 0.87], p = 0.73) or patients (mean = 0.15, 95% CI: [−0.19, 0.46], p = 0.41) (median = 0.17, 95% CI: [−0.17, 0.48], p = 0.32).ConclusionThe AGT provides a validated, reliable measure for assessing aesthetic outcomes in bilateral DIEP flap reconstruction. The lack of correlation with BREAST‐Q scores indicates that BREAST‐Q may not be a reliable proxy for assessing aesthetic outcomes.
Development and Validation of a Stability‐Indicating High‐Performance Liquid Chromatography Method Coupled With a Diode Array Detector for Quantifying Haloperidol in Oral Solution Using the Analytical Quality‐by‐Design Approach
Authors: Junkert Allan Michael , Mieres Naomi Gerzvolf , Domingues Karime Zeraik Abdalla , Ferreira Luana Mota , Pontarolo Roberto 
Published: December 2024

ABSTRACTThis study developed a stability‐indicating HPLC‐DAD method for quantifying haloperidol in oral solution using analytical quality‐by‐design principles. Haloperidol stability was tested under acidic, alkaline, oxidative, and photolytic stress conditions. The analytical quality‐by‐design approach began by defining the analytical target profile and identifying critical material attributes and critical method parameters via risk analysis. Factorial and Box–Behnken designs, conducted in Design Expert 13, were used to select critical method parameters and determine the method operable design region. The oral solution degraded significantly under acidic and alkaline conditions. Continuous critical method parameters such as mobile phase flow rate, gradient slope, column temperature, and pH were optimized. A quadratic Box–Behnken design with critical method attributes was applied and validated, resulting in robust regression models with significant p‐values (> 0.05), absence of lack‐of‐fit (p‐values < 0.05), and R2‐adjusted > 0.85. The method proved selective, accurate, and precise within the method operable design range. Normal operating conditions (NOCs) were established using a Waters Symmetry C18 column with a 100‐mM formate buffer (pH 3.8) and acetonitrile, with a gradient profile and detection at 246 nm. The operational region included flow rates between 1.2 and 1.35 mL/min (NOC = 1.3 mL/min), temperatures of 8°C–20°C (NOC = 15°C), and mobile phase pH variations from 3.3 to 4.3 (NOC = 3.8). The analytical quality‐by‐design–based method was robust and effective for stability monitoring, reducing subjectivity while maximizing reliability.
A Noninvasive Method of Monitoring Blood Glucose Levels by Using Triple‐Band Monopole Antenna
Authors: Sharaf Faten , Elsheakh Dalia N. , Eldamak Angie R. 
Published: December 2024

ABSTRACTThis paper aims to present a novel methodology for noninvasive blood glucose monitoring. This method is based on monitoring the reflection coefficient of the proposed antenna‐based sensor at three different bands simultaneously. This includes recording changes in the resonant frequency, magnitude, and phase. The above‐mentioned parameters vary according to changes in blood conductivity and permittivity and consequently to blood glucose levels. A commercial FR4 substrate with compact dimensions of 30 × 40 × 1.6 mm3 is used to construct the proposed antenna, and all the simulations are conducted using 3D electromagnetic software. The proposed monopole is circular‐shaped with an etched split ring resonator (SRR) to create multiband resonant frequencies. The proposed antenna measured the concentration of glucose level by using multiband resonant frequencies at 2.9, 4.3, and 6.5 GHz. The impedance bandwidth ≤ −10 dB is 1.038, 1.4, 2.02 GHz, respectively at each resonant frequency. To validate the operation of the proposed sensor, a container filled with samples representing different glucose concentrations is placed above the proposed sensor. To measure the blood glucose levels, a human finger phantom model is used with dimensions 15 × 12 × 10 mm3 in simulations. Moreover, glucose levels for four volunteers are compared in this paper before and after fasting using proposed sensors and a commercial glucometer. The proposed reflection‐based microwave glucose sensing method exhibits an impressive sensitivity of 19.43 MHz/mg/dL.
WALINET: A water and lipid identification convolutional neural network for nuisance signal removal in  1H$$ {}^1\mathrm{H} $$ MR spectroscopic imaging
Authors: Weiser Paul J. , Langs Georg , Motyka Stanislav , Bogner Wolfgang , Courvoisier Sébastien , Hoffmann Malte , Klauser Antoine , Andronesi Ovidiu C. 
Published: December 2024

AbstractPurposeProton magnetic resonance spectroscopic imaging (‐MRSI) provides noninvasive spectral‐spatial mapping of metabolism. However, long‐standing problems in whole‐brain ‐MRSI are spectral overlap of metabolite peaks with large lipid signal from scalp, and overwhelming water signal that distorts spectra. Fast and effective methods are needed for high‐resolution ‐MRSI to accurately remove lipid and water signals while preserving the metabolite signal. The potential of supervised neural networks for this task remains unexplored, despite their success for other MRSI processing.MethodsWe introduce a deep learning method based on a modified Y‐NET network for water and lipid removal in whole‐brain ‐MRSI. The WALINET (WAter and LIpid neural NETwork) was compared with conventional methods such as the state‐of‐the‐art lipid L2 regularization and Hankel–Lanczos singular value decomposition (HLSVD) water suppression. Methods were evaluated on simulated models and in vivo whole‐brain MRSI using NMRSE, SNR, CRLB, and FWHM metrics.ResultsWALINET is significantly faster and needs 8s for high‐resolution whole‐brain MRSI, compared with 42min for conventional HLSVD+L2. WALINET suppresses lipid and water in the brain by 25–45 and 34–53‐fold, respectively. WALINET has better performance than HLSVD+L2, providing: (1) more lipid removal with 41% lower NRMSE; (2) better metabolite signal preservation with 71% lower NRMSE in simulated data; 155% higher SNR and 50% lower CRLB in in vivo data. Metabolic maps obtained by WALINET in healthy subjects and patients show better gray‐/white‐matter contrast with more visible structural details.ConclusionsWALINET has superior performance for nuisance signal removal and metabolite quantification on whole‐brain ‐MRSI compared with conventional state‐of‐the‐art techniques. This represents a new application of deep learning for MRSI processing, with potential for automated high‐throughput workflow.
Pain Catastrophizing Is Associated With Health‐Related Quality of Life in Patients With Hip Osteoarthritis: A Multicenter Cross‐Sectional Study
Authors: Tanaka Shigeharu , Shinonaga Atsushi , Tsuru Takashi , Sato Yuya , Taguchi Masahiro , Igarashi Masashi , Takane Ryosuke , Robbins Shawn M. 
Published: December 2024

ABSTRACTObjectiveThis study aimed to examine the relationship between pain catastrophizing (PC) and health‐related quality of life (HRQoL), while accounting for pain intensity and other factors in patients with hip osteoarthritis (OA).MethodsThis multicenter, cross‐sectional study included a total of 160 participants and was conducted at five hospitals in Japan. The primary outcome was the HRQoL status, which was assessed using the Japanese version of the 12‐item Short Form. Physical (PCS‐12) and mental (MCS‐12) component summary scores were used as dependent variables. Age, sex, body mass index (BMI), affected side, hip OA severity, bilateral range of motion (ROM), muscle strength, pain intensity, and PC scale scores were measured as independent variables. After screening, multiple regression analysis was performed for each outcome.ResultsHigher BMI (β = −0.17, p < 0.05), higher hip flexion ROM on the unaffected side (β = −0.26, p < 0.05), lower hip flexion ROM on the affected side (β = 0.22, p < 0.05) and higher PC scale score (β = −0.28, p < 0.05) were associated with worse PCS‐12. In addition, higher BMI (β = −0.18, p < 0.05) and higher PC scale scores (β = −0.29, p < 0.05) were associated with worse MCS‐12 after accounting for confounding factors.ConclusionThis study suggested that PC is an issue in patients with hip OA and is a potential target for interventions aimed at improving HRQoL.
Knee‐Related Patient‐Reported Outcome Measures for Young Adults: A Scoping Meta‐Review
Authors: Bausch Nicole , Eyre Emma , Pearce Gemma , Palmer Shea 
Published: December 2024

ABSTRACTBackgroundThere is a lack of patient‐reported outcome measures (PROMs) research on young adults and knee disorders. This scoping meta‐review examined a young adult population and aimed to (1) provide an overview of knee‐related PROMs research and (2) evaluate the measurement properties of the five most evaluated knee‐related PROMs relevant for individual care and group‐level analysis.MethodsA systematic search of the PubMed and COSMIN databases was conducted on 18 September 2023 and updated on 25 November 2024 to identify systematic reviews of knee‐related PROMs in young adults. Data relevant to individual care and group‐level analysis of the five most evaluated PROMs were extracted based on the PROM‐cycle and analysed guided by COSMIN recommendations.ResultsFifteen systematic reviews were included, evaluating 80 knee‐related PROMs. Ten of the 15 systematic reviews did not use a tool to synthesise multiple studies or a PROM evaluation tool. Knee Injury and Osteoarthritis Outcome Score (KOOS) had the strongest evidence to be an appropriate PROM for individual care and the Knee Outcome Survey Activities of Daily Living Scale (KOS‐ADLS) for group‐level analysis in a young adult population. However, none of the five PROMs demonstrated sufficient high‐quality evidence across all identified measurement properties.ConclusionThe scoping meta‐review highlights that systemic reviews of measurement properties were reported inconsistently, making it challenging to detangle the extracted data. Therefore, advances in PROMs‐specific methods and reporting recommendations should enhance the quality of PROM evidence, allowing readers to appraise relevant evidence and select the most appropriate PROMs for their intended purpose.