bluuebunny/crossref_metadata_2025_split huggingface dataset:
Treatment Gap in Mental Health Care for Victims of Road Traffic Accidents
Authors: Boelen Paul A. , Eisma Maarten C. , de Keijser Jos , Lenferink Lonneke I. M. 
Published: April 2024

ABSTRACTRoad traffic accidents (RTAs) are among the most frequent negative life‐events. About one in five RTA survivors is susceptible to posttraumatic stress disorder (PTSD). Knowledge about needs for, and usage of, mental health services (MHSs) may improve options for care for RTA victims. The current study aimed to assess rates of victims using different MHSs, including psychotherapy, pharmacotherapy and support groups, and to explore correlates of needs for and use of these MHSs. Further, we aimed to estimate the treatment gap in post‐RTA care, defined as including people with probable PTSD who did not use MHSs and people wanting but not getting help from MHSs. Dutch victims of nonlethal RTAs (N = 259) completed self‐report measures on needs for and use of MHSs and PTSD. Results showed that 26% of participants had utilized care from psychotherapy, pharmacotherapy or support groups. Among people with probable PTSD, this was 56%. Increased posttraumatic stress was the strongest correlate of MHS use. Forty‐eight participants (17.8%) had an unmet care need and represented the treatment gap. Commonly reported reasons and barriers preventing MHS use were perceptions that problems were limited or would disappear without care and financial worries. Regarding possible future care, participants reported a preference for face‐to‐face (over online) help from a psychologist (over other professionals). The treatment gap for Dutch RTA victims may be limited. However, a significant number of RTA victims need care but do not obtain this care. Care options may be improved by reducing practical barriers to MHSs and increasing mental health literacy and acceptability of different forms of care (besides face‐to‐face care).
Enhancing energy‐efficient sleep scheduling for Narrowband Internet of Things devices in coordinated 5G networks within smart environments
Authors: Hema L. K. , Raj Regilan Soosai , J. Jenitha 
Published: April 2024

SummaryThis research project takes on a crucial role in the quickly changing field of integrated 5G networks inside smart environments by concentrating on the creation of an extremely effective sleep scheduling system designed especially for Narrowband Internet of Things (NB‐IoT) devices. This work introduces a unique method for precisely controlling the nodes' sleep schedules through the use of convolutional neural network (CNN) architecture, which optimizes both energy usage and operating patterns. The principal goal still stands to guarantee the extended lifetime of operation and dependability of NB‐IoT devices in the larger framework of intelligent ecosystems driven by synchronized 5G networks. To achieve its objectives, the research explores a number of complex domains and employs cutting‐edge technologies and techniques, such as CNN‐based pattern recognition. This method's real‐time component is essential since it allows for prompt modifications to sleep schedules in order to optimize energy savings. Further boosting the devices' effectiveness and flexibility is continuous contact with a central server, which guarantees that the devices are updated with the most recent data and instructions. Essentially, the main objective of this study is to greatly increase the energy economy and operational lifetime of NB‐IoT devices, which will allow for stable and long‐lasting IoT deployments in the context of 5G networks in intelligent settings. This advancement is not only a boon for businesses and industries leveraging IoT technology but also a substantial step toward building smarter, more energy‐efficient, and resilient smart ecosystems that benefit society as a whole.
Association of plasma GFAP with elevated brain amyloid is dependent on severity of white matter lesions in an Asian cognitively impaired cohort
Authors: Chong Joyce R. , Chai Yuek Ling , Yam Amelia T. Y. , Hilal Saima , Vrooman Henri , Venketasubramanian Narayanaswamy , Blennow Kaj , Zetterberg Henrik , Ashton Nicholas J. , Chen Christopher P. , Lai Mitchell K. P. 
Published: April 2024

AbstractINTRODUCTIONWhile elevated blood glial fibrillary acidic protein (GFAP) has been associated with brain amyloid pathology, whether this association occurs in populations with high cerebral small vessel disease (CSVD) concomitance remains unclear.METHODSUsing a Singapore‐based cohort of cognitively impaired subjects, we assessed associations between plasma GFAP and neuroimaging measures of brain amyloid and CSVD, including white matter hyperintensities (WMH). We also examined the diagnostic performance of plasma GFAP in detecting brain amyloid beta positivity (Aβ+).RESULTSWhen stratified by WMH status, elevated brain amyloid was associated with higher plasma GFAP only in the WMH– group (β = 0.383; P < 0.001). The diagnostic performance of plasma GFAP in identifying Aβ+ was significantly higher in the WMH– group (area under the curve [AUC] = 0.896) than in the WMH+ group (AUC = 0.712, P = 0.008).DISCUSSIONThe biomarker utility of plasma GFAP in detecting brain amyloid pathology is dependent on the severity of concomitant WMH.Highlight
Glial fibrillary acidic protein (GFAP)’s association with brain amyloid is unclear in populations with high cerebral small vessel disease (CSVD).
Plasma GFAP was measured in a cohort with CSVD and brain amyloid.
Plasma GFAP was better in detecting amyloid in patients with low CSVD versus high CSVD.
Biomarker utility of GFAP in detecting brain amyloid depends on the severity of CSVD.
Observations and computational multi‐phase modelling in tropical river settings show complex channel changes downstream from rainfall‐triggered landslides
Authors: Panici Diego , Bennett Georgina L. , Boothroyd Richard J. , Abancó Clàudia , Williams Richard D. , Tan Fibor , Matera Mark 
Published: April 2024

AbstractAlluvial river channels respond to changes in sediment supply by adjusting their geometry. Landslide sediment delivery and geomorphic response of river channels during floods are poorly understood and rarely examined in tropical settings. We investigate the impact of landslides on channel geomorphic changes during an extreme typhoon‐induced flood event in the Philippines, specifically the complex geomorphic response of the Antamok River to Typhoon Mangkhut in September 2018, which triggered >500 landslides in the Ambalanga catchment. The catchment has a legacy of anthropogenic modifications, such as extensive small‐scale (artisanal) mining and tailings storage facilities (TSFs) from large‐scale mining activities.We use a novel mix of mapping and computational modelling approaches to test the hypothesis that landslide sediment delivery is a major control on channel geomorphic change. Pre‐ and post‐event imagery show that the overall active channel area increased by 35.9% and the mean active channel width increased by 9.1 m. Spatially, we find no clear relationship between landslide sediment input or unit stream power and channel width geomorphic change, with longitudinal changes in active channel width complicated by TSFs. Multi‐phase modelling using r.avaflow revealed how landslide sediment delivery and TSFs interacted with the flow to generate the observed patterns of channel change. The model simulated channel incision in the upper parts of the catchment (up to 0.78 m) and deposition in the TSFs (up to 1.73 m).Our findings demonstrate that well‐established methods (e.g., stream power threshold) fail to fully explain channel width geomorphic changes, particularly for anthropogenically altered catchments. Integrating techniques, such as landslide mapping and multi‐phase computational modelling improves understanding of sediment supply's role in channel width change during extreme events. Numerical simulations also demonstrate that conventional assumptions of increased erosion and deposition with rising flow discharge are inaccurate with large sediment input, highlighting instead the effectiveness of multi‐phase models.
A modified forcing approach in the Rothman–Keller method for simulations of flow phenomena at low capillary numbers
Authors: Sudha Anand , Rohde Martin 
Published: April 2024

AbstractThe lattice‐Boltzmann method (LBM) is becoming increasingly popular for simulating multi‐phase flows on the microscale because of its advantages in terms of computational efficiency. Many applications of the method are restricted to relatively simple geometries. When a more complex geometry is considered—circular and inclined microchannels—some important physical phenomena may not be accurately captured, especially at low capillary numbers. A Y‐Y micro‐fluidic channel, widely used for a range of applications, is an example of a more complex geometry. This work aims to capture the various flow phenomena, with an emphasis on parallel flow and leakage, using the Rothman–Keller (RK) model of the LBM. To this purpose, we modify the forcing term to implement the surface tension for use at low capillary numbers. We compare the simulation results of the RK model with and without the force modification with experiments, Volume of Fluid and the phase field method and observe that the modified forcing term is an improvement over the current RK model at low capillary numbers, and it also captures parallel flow and leakage more accurately than the other simulation techniques.
Field experience with the 8‐HPV‐type oncoprotein test for cervical cancer screening among HPV‐positive women living with and without HIV in LMICs
Authors: Downham Laura , Rol Mary Luz , Forestier Mathilde , Romero Pilar , Mendoza Laura , Mongelós Pamela , Picconi María Alejandra , Colucci María Celeste , Padin Valeria Mariel , Flores Ana Paula , Zúñiga Michael , Ferrera Annabelle , Cabrera Yessy , Crispín Marcela Farfan , Ramirez Arianis Tatiana , Cele Londiwe , Diop‐Ndiaye Halimatou , Samaté Dianke , Manga Pascaline , Thiam Fadimatou Bintou , Rodriguez Maria Isabel , DSouza Jyoshma P. , Nyaga Victoria Nyawira , Diop Mamadou , Sebitloane Motshedisi , Sánchez Gloria Inés , Teran Carolina , Calderon Alejandro , Wiesner Carolina , Murillo Raul , Herrero Rolando , Baena Armando , Almonte Maribel 
Published: April 2024

AbstractOverexpression of HPV‐oncoproteins E6 and E7 is necessary for HPV‐driven cervical carcinogenesis. Hence, these oncoproteins are promising disease‐specific biomarkers. We assessed the technical and operational characteristics of the 8‐HPV‐type OncoE6/E7 Cervical Test in different laboratories using cervical samples from HPV‐positive women living with (WLWH) and without HIV. The 8‐HPV‐type OncoE6/E7 Test (for short: “OncoE6/E7 test”) was performed in 2833 HIV‐negative women and 241 WLWH attending multicentric studies in Latin America (ESTAMPA study), and in Africa (CESTA study). Oncoprotein positivity were evaluated at each testing site, according to HIV status as well as type‐specific agreement with HPV‐DNA results. A feedback questionnaire was given to the operators performing the oncoprotein test to evaluate their impression and acceptability regarding the test. The OncoE6/E7 test revealed a high positivity rate heterogeneity across all testing sites (I2: 95.8%, p < .01) with significant lower positivity in WLWH compared to HIV‐negative women (12% vs 25%, p < .01). A similar HPV‐type distribution was found between HPV DNA genotyping and oncoprotein testing except for HPV31 and 33 (moderate agreement, k = 0.57). Twenty‐one laboratory technicians were trained on oncoprotein testing. Despite operators' concerns about the time‐consuming procedure and perceived need for moderate laboratory experience, they reported the OncoE6/E7 test as easy to perform and user‐friendly for deployment in resource‐limited settings. The high positivity rate variability found across studies and subjectivity in test outcome interpretation could potentially results in oncoprotein false positive/negative, and thus the need for further refinements before implementation of the oncoprotein testing in screen‐triage‐and‐treat approaches is warranted.
Application of high‐performance liquid chromatography‐solid phase extraction‐nuclear magnetic resonance in the identification of bioactive constituents from Hyptis spicigera leaf and H. brevipes aerial part
Authors: Hsu Fu‐Chun , Tsai Sheng‐Fa , Lin Yi‐Li , Hsieh Tsung‐Hsin , Chang Chia‐Chuan , Lee Shoei‐Sheng 
Published: April 2024

AbstractTwo Hyptis plants endemic to Taiwan, H. rhomboides and H. suaveolens, contained xanthine oxidase inhibitors. To chemically investigate more herbs of the same genus, this study aimed to explore bioactive constituents from Hyptis spicigera leaf and the aerial part of H. brevipes, which would also enrich the chemotaxonomic basis for the Hyptis plants. The EtOH extract of the plant materials was fractionated by liquid‐liquid partitioning, followed by separation over various chromatography. High‐performance liquid chromatography‐solid phase extraction‐nuclear magnetic resonance hyphenation, a sustainable and environmentally friendly instrument, was applied to accelerate the chemical investigation of each subfraction. Eighteen isolates from Hyptis spicigera leaf and 14 compounds from H. brevipes aerial part were characterized. Of these, 12 compounds are rosmarinic acid derivatives, of which 9′‐O‐methyl melitrate A (10) and sagecoumarin methyl ester (22) are tentatively identified as new compounds. In total, 25 compounds were separated and characterized from Hyptis spicigera leaf and H. brevipes aerial part. Of these, seven of them (2–4, 11, 12, 18, 20) are in common between these two species, and 17 isolates (2–4, 8‐14, 22, 23, and 26‐30) are phenylpropanoids which are commonly distributed in the Labiatae family.
Osterix‐driven LINC complex disruption in vivo diminishes osteogenesis at 8 weeks but not at 15 weeks
Authors: Birks Scott , Howard Sean , O'Rourke Caroline , Thompson William R. , Lau Anthony , Uzer Gunes 
Published: April 2024

AbstractThe Linker of Nucleoskeleton and Cytoskeleton (LINC) complex is a crucial connective component between the nuclear envelope and the cytoskeleton involving various cellular processes including nuclear positioning, nuclear architecture, and mechanotransduction. How LINC complexes regulate bone formation in vivo, however, is not well understood. To start bridging this gap, here we created a LINC disruption murine model using transgenic mice expressing Cre recombinase enzyme under the control of the Osterix (Osx‐Cre) which is primarily active in pre‐osteoblasts and floxed Tg(CAG‐LacZ/EGFP‐KASH2) mice. Tg(CAG‐LacZ/EGFP‐KASH2) mice contain a lox‐STOP‐lox flanked LacZ gene which is deleted upon cre recombination allowing for the overexpression of an EGFP‐KASH2 fusion protein. This overexpressed protein disrupts endogenous Nesprin‐Sun binding leading to disruption of LINC complexes. Thus, crossing these two lines results in an
Osx‐
driven
LINC
disruption (ODLD) specific to pre‐osteoblasts. In this study, we investigated how this LINC disruption affects exercise‐induced bone accrual. ODLD cells had decreased osteogenic and adipogenic potential in vitro compared to non‐disrupted controls and sedentary ODLD mice showed decreased bone quality at 8 weeks. Upon access to a voluntary running wheel, ODLD animals showed increased running time and distance; however, our 6‐week exercise intervention did not significantly affect bone microarchitecture and bone mechanical properties.
Evaluation of Efficiency of Weighted Average of Stability and Mean Performance Estimated by Linear Mixed Models for Identifying High‐Yielding Lentil Genotypes Adapted to Rainfed Regions
Authors: Shobeiri Seyedeh Soudabeh , Pezeshkpour Payam , Naseri Bita 
Published: April 2024

ABSTRACTA combination of the two methods of stability analysis, the additive main effect and multiplicative interaction (AMMI) and the best linear unbiased prediction (BLUP), based on weighted average of stability (WAASB) estimated by the linear mixed models (LMM) index identified the improved genotypes. In this study, 17 advanced genotypes of lentil were studied at two locations, Zanjan and Maragheh, during the two seasons. To examine the genotype × environment interaction, the AMMI and BLUP methods using the WAASB and weighted average of mean performance (WAASBY) index were combined to evaluate the performance stability of genotypes according to different experimental plots. Considering the significant genotype × environment interaction based on likelihood ratio test (LRT), data were analyzed by the BLUP method. The highest grain yield was detected for genotype 13, followed by genotypes 7, 11, 20, 5, 12, and 19 with higher productivity than the grand mean. To select genotypes according to yield and stability, the WAASBY index was defined by combining mean grain yield and stability. Considering 50:50 contributions for the two components, the grain yield and stability of the 13 genotypes were higher than the grand mean. The highest WAASBY was observed for genotypes 7, 20, and 12, which were determined as the best genotypes of lentil under agroecological conditions encountered in the current study regions.
Development and validation of a point‐of‐care nursing mobile tool to guide the diagnosis of malnutrition in hospitalized adult patients: a multicenter, prospective cohort study
Authors: Lin Nan , Zhou Xueyan , Chen Weichang , He Chengyuan , Wang Xiaoxuan , Wei Yuhao , Long Zhiwen , Shen Tao , Zhong Lingyu , Yang Chan , Dai Tingting , Zhang Hao , Shi Hubing , Ma Xuelei 
Published: April 2024

AbstractMalnutrition is a prevalent and severe issue in hospitalized patients with chronic diseases. However, malnutrition screening is often overlooked or inaccurate due to lack of awareness and experience among health care providers. This study aimed to develop and validate a novel digital smartphone‐based self‐administered tool that uses facial features, especially the ocular area, as indicators of malnutrition in inpatient patients with chronic diseases. Facial photographs and malnutrition screening scales were collected from 619 patients in four different hospitals. A machine learning model based on back propagation neural network was trained, validated, and tested using these data. The model showed a significant correlation (p < 0.05) and a high accuracy (area under the curve 0.834–0.927) in different patient groups. The point‐of‐care mobile tool can be used to screen malnutrition with good accuracy and accessibility, showing its potential for screening malnutrition in patients with chronic diseases.
A novel stability equation for the estimation of the factor of safety for homogeneous dry finite slopes
Authors: Sampa Naloan Coutinho , Schorr Joshua 
Published: April 2024

AbstractThis paper introduces a novel closed‐form equation (surrogate model) for approximating the Morgenstern–Price estimate of the factor of safety of homogeneous dry finite slopes with circular failure surfaces. Unlike typically used methods, the proposed equation does not require the definition of a critical failure surface, splitting the soil mass into slices, or the iterative reduction of soil resistance to the limit state. It can be easily programmed into calculators or computers and accurately determines the minimum factor of safety based on the shear strength parameters and slope geometry—meaning that it is ideally suited for integration into reliability calculations. The equation is determined parametrically for various soil parameters and slope geometry using the Morgenstern–Price method and compares favorably with conventional techniques, such as slope stability charts, limit equilibrium, and strength reduction methods (SRM). From a practical perspective, the proposed equation greatly simplifies the analysis of the slope stability as the creation of a numerical model is not required and is suited to use in the feasibility stage of a project, for example, for large linear infrastructure projects with differing slope geometries or in situations where a quick assessment is desired.
Registration of ‘Top Shelf’ barley: The first glycosidic nitrile‐null, winter malting cultivar to be released in North America
Authors: Morrissy Campbell P. , Filichkin Tanya , Fisk Scott P. , Helgerson Laura , Hayes Patrick M. 
Published: April 2024

Abstract‘Top Shelf’ (Reg. no. CV‐380, PI 704478), experimental designation DH162310, is a two‐row winter barley (Hordeum vulgare L.) released by Oregon Agricultural Experiment Station in 2023. It is a malting cultivar that is known to be a non‐producer of glycosidic nitrile (GN0). GN0 is the precursor to a regulated compound (ethyl carbamate) in distilled spirits and thus, the GN0 trait is becoming a requisite for malting cultivars geared toward distilling. While GN0 spring cultivars have been available for over 20 years, Top Shelf is the first winter GN0 cultivar to be released in North America, and only the second globally. In addition to its GN0 status it exceeds contemporary agronomic and malt quality expectations. Over 5 years of field trials in Oregon it performed equal to or better than the check entries. It shows high yields, plump grains, and test weights. It also has good resistance to scald (caused by Rhynchosporium commune) and preliminary data suggest resistance to barley stripe rust (Puccinia striiformis f. sp. hordei). Results were confirmed in field trials in southern Idaho, a major malting barley production region, and a target environment for this cultivar. Under standard malting protocols Top Shelf meets the guidelines for malt and all‐malt and/or grain distilling, and has high extract, enzymatic activity, and free amino nitrogen. When malted under optimized conditions, mimicking commercial distilling malt production, it produced even better results. As one of only a handful of GN0 cultivars available in the United States with potential for mainstream production, Top Shelf provides an important option for the distilling supply chain.
Differential expression of N‐glycopeptides derived from serum glycoproteins in mild cognitive impairment (MCI) patients
Authors: Gutierrez Reyes Cristian D. , Atashi Mojgan , Fowowe Mojibola , Onigbinde Sherifdeen , Daramola Oluwatosin , Lubman David M. , Mechref Yehia 
Published: April 2024

AbstractMild cognitive impairment (MCI) is an early stage of memory loss that affects cognitive abilities with the aging of individuals, such as language or visual/spatial comprehension. MCI is considered a prodromal phase of more complicated neurodegenerative diseases such as Alzheimer's. Therefore, accurate diagnosis and better understanding of the disease prognosis will facilitate prevention of neurodegeneration. However, the existing diagnostic methods fail to provide precise and well‐timed diagnoses, and the pathophysiology of MCI is not fully understood. Alterations of the serum N‐glycoproteome expression could represent an essential contributor to the overall pathophysiology of neurodegenerative diseases and be used as a potential marker to assess MCI diagnosis using less invasive procedures. In this approach, we identified N‐glycopeptides with different expressions between healthy and MCI patients from serum glycoproteins. Seven of the N‐glycopeptides showed outstanding AUC values, among them the antithrombin‐III Asn224 + 4‐5‐0‐2 with an AUC value of 1.00 and a p value of 0.0004. According to proteomics and ingenuity pathway analysis (IPA), our data is in line with recent publications, and the glycoproteins carrying the identified N‐sites play an important role in neurodegeneration.