bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deconstructing Stigmatising Narratives: A Qualitative Analysis of Contrast Devices in Interviews with Mothers with a Mental Illness
Authors: Schamschula Monika , Paul Jean Lillian 
Published: February 2024

Abstract

Background
In the context of stigma and mental health research, there are limited empirical studies examining stigma through the positioning of individuals within interview contexts. This study addresses this gap by investigating the positioning processes in interviews with mothers with a mental illness, with a specific focus on the use of contrast devices as a strategy identified through analysis. By analysing how mothers position themselves through contrast devices and which discourses they refer to, this study provides insights into the anticipated stigma from mothers with a mental illness.
Methods
This study is based on 20 semi-narrative interviews with mothers with a mental illness who participated in the Village Project (a pilot project created for children of parents with mental illness in Tyrol, Austria). In the first step, we searched for sections of the interviews where positioning processes became visible and then analysed the segments where they used contrast devices with a deconstructive methodology.
Results
The analysis shows insights into mothers’ efforts to distance themselves from labels such as “bad mother”, “not normal”, “weak woman”, and “calculating individual”. Importantly, these positions often carry a gendered dimension, with motherhood emerging as a central position. Furthermore, our study highlights the challenges mothers with mental illness face in navigating societal norms and expectations related to motherhood during research interviews.
Conclusion
The research contributes to a deeper understanding of the anticipated stigma of mothers with mental illness, emphasising the importance of considering gendered dynamics and societal expectations in mental health research.
Effect of cellular senescence on the response of human peritoneal mesothelial cells to TGF-β
Authors: Kawka Edyta , Herzog Rebecca , Ruciński Marcin , Malińska Agnieszka , Unterwurzacher Markus , Sacnun Juan Manuel , Wagner Anja , Kowalska Katarzyna , Jopek Karol , Kucz-Chrostowska Agata , Kratochwill Klaus , Witowski Janusz 
Published: February 2024

Abstract

Transforming growth factor β (TGF-β) is implicated in both mesothelial-to-mesenchymal transition (MMT) and cellular senescence of human peritoneal mesothelial cells (HPMCs). We previously showed that senescent HPMCs could spontaneously acquire some phenotypic features of MMT, which in young HPMCs were induced by TGF-β. Here, we used electron microscopy, as well as global gene and protein profiling to assess in detail how exposure to TGF-β impacts on young and senescent HPMCs in vitro. We found that TGF-β induced structural changes consistent with MMT in young, but not in senescent HPMCs. Of all genes and proteins identified reliably in HPMCs across all treatments and states, 4,656 targets represented overlapping genes and proteins. Following exposure to TGF-β, 137 proteins and 46 transcripts were significantly changed in young cells, compared to 225 proteins and only 2 transcripts in senescent cells. Identified differences between young and senescent HPMCs were related predominantly to wound healing, integrin-mediated signalling, production of proteases and extracellular matrix components, and cytoskeleton structure. Thus, the response of senescent HPMCs to TGF-β differs or is less pronounced compared to young cells. As a result, the character and magnitude of the postulated contribution of HPMCs to TGF-β-induced peritoneal remodelling may change with cell senescence.
Patchiness of plankton ecosystem structure due to nutrient mixing along the shelf edge in the North Sea
Authors: Cordier Axelle , Bendtsen Jørgen , Daugbjerg Niels , From Nikolaj , Jónasdóttir Sigrún Huld , Mousing Erik Askov , Christensen Jens Tang , Silva Teresa , Richardson Katherine 
Published: February 2024

Abstract

It has been shown that mid-water column turbulence leads to elevated vertical nutrient flux at the shelf edge in the northeastern North Sea. Here, we demonstrate that phytoplankton communities in this region tended to be dominated by larger cells (estimated from percentage of chlorophyll captured on a 10 µm filter) than beyond the shelf edge. Fv/Fm (PSII electron transport capacity) corrected for photoinhibition in the surface layer correlated with percentage of large cells, suggesting that the phytoplankton community was responding to increased nutrients in the euphotic zone by increasing photosynthetic efficiency and altering community composition. The greatest abundances of larger copepods and the highest rates of Centropages typicus egg production were also generally found at the shelf edge. These results suggested that impact from increased nutrient fluxes cascaded up the planktonic food web. As these regions of nutrient flux were very localised, this led to sub-mesoscale heterogeneity in plankton ecosystem structure. Reports of higher abundances of fish and mammals at the shelf edge are common and we hypothesise that their distributions are a response to the impact of mid-water column nutrient upwelling on the plankton food web in the region.
Site effects exacerbate the building damages from Mw7.8 Turkey Earthquake, 2023
Authors: Song Quan , Ren Yefei , Zhou Baofeng , Yang Yongqiang , Liu Aiwen , Wen Ruizhi , Zhang Yajun , Hui Yingxin 
Published: February 2024

Abstract
It is well-known that the impact of site effects on ground motion is a crucial factor to consider for earthquake disaster protection and mitigation. On February 6, 2023, southeastern Turkey experienced two strong earthquakes with Mw7.0 or greater followed by multiple aftershocks, resulting in significant casualties and economic losses. Field investigations revealed that mid-rise and high-rise buildings in Kahramanmaras and Antakya both situated in the valley, suffered severe damage. In this paper, H/V technique is used to study how site effects affect ground motion and damage in two cities by using S-wave periods based on the records of historical strong motion response and the main earthquakes. The H/V spectral ratio indicates that the predominant frequency tends to be lower near the valley and higher toward the hill slope. The nonlinearity of the site was found to amplify the acceleration response spectrum within a certain range, exceeding the local structure defense standards. Additionally, the observed building natural vibration period and response spectrum indicate a higher likelihood of resonance occurrences in mid-rise and high-rise structures situated in areas of depression. The results demonstrate that site effects exacerbate earthquake damage in Kahramanmaras and Antakya.
Assessing Heavy Metal and Physiochemical Pollution Load of Danro river and its management using floating bed remediation
Authors: Majumdar Aditi , Avishek Kirti 
Published: February 2024

Abstract

River Danro in Garhwa (India) plays a vital role as a significant source of surface water and a crucial tributary of the North Koel River, ultimately joining the Ganga River Basin. Serving both urban-industrial and rural areas, the region faces challenges, including sand mining near Belchampa Ghat. This study aimed to assess physicochemical and heavy metals pollution at nine sampling locations, utilizing the Overall Index of Pollution (OIP), Nemerow Pollution Index (NPI), and Heavy Metal Pollution Index (HPI). OIP values indicated excellent surface water quality (0.71) in non-monsoon and slight pollution (6.28) in monsoon. NPI ranged from 0.10 to 1.74 in non-monsoon and from 0.22 (clean) to 27.15 (heavily polluted) in monsoon. HPI results suggested groundwater contamination, particularly by lead. Principal component analysis (PCA) and geospatial mapping showed similar outcomes, highlighting the influence of adjacent land use on water quality. Recognizing the significance of Danro River in sustaining life, livelihoods, and economic growth, the study recommends implementing measures like floating bed remediation and regulatory actions for effective river management.
Aerosol-type classification based on AERONET version 3 data over two megacities of Pakistan
Authors: Zeeshan Muhammad 
Published: February 2024

Abstract
This study investigates the temporal distribution of atmospheric particles over two mega-cities in Pakistan for the period 2015–2023, offering an aerosol-type classification based on the Particle Linear Depolarization Ratio (PLDR) and Single-Scattering Albedo (SSA) at 1020 nm, retrieved by the AERONET (Aerosol Robotic Network) Version 3.0 Level 2.0 inversion products. Results reveal that Lahore has comparatively higher average values for Aerosol Optical Depth (AOD 440nm) and Ångstroṁ Exponent (AE 440-870nm) than Karachi. The contribution of fine (coarse)--mode aerosols to the total volume concentration dominates at lower (higher) PLDR values. The dust ratio (Rd) parameter indicated that coarse-mode aerosols are dominated at both sites with occurrence rates of 86% at Lahore, and 99% at Karachi, respectively. The atmosphere of Lahore city is mainly affected by pure dust (PD), and Karachi city with pollution-dominated mixture (PDM) aerosols with occurrence rates of 43.16% and 49.14%, respectively, while dust-dominated mixture (DDM) has low-frequency rates (33.91% and 29.63%, respectively). The annual incidence rates for dust-free pollution aerosols (NA, WA, SA, and MA) are lower (25.62% at Lahore, 27.87% at Karachi) at both sites as compared to dust-containing (28.47% at Lahore, 30.43% at Karachi) aerosol type. Weakly absorbing (WA) and non-absorbing (NA) aerosols are dominated as compared to strong absorbing (SA) and moderately absorbing (MA) aerosols. In addition, seasonally, winter season is strongly affected by PD (85.42%) and DDM (54.39%), spring seasons by WA (55.53%) and PDM (68.61%), summer by NA (Lahore: 64.94%, and Karachi: 57.22%), and autumn seasons by WA (Lahore: 51.56%, and Karachi: 49.46%) aerosols, over Lahore and Karachi, respectively.
Variation of migration routes in the Central Asian-breeding Cuculus canorus population influenced by the Qinghai-Tibet Plateau
Authors: Cheng Zhichang , Ma Donghui , Kong Lingwang , Lu Mengjie , Du Xingnan , Bao Xinkang 
Published: February 2024

Abstract
Seasonal climate changes and fluctuations in food resources drive the migratory behavior of birds between their breeding and wintering sites. Migratory birds change their migration routes in response to climate and environmental stresses. Existing studies have indicated that the widely distributed Eurasian Common cuckoo migrates individually during the night, necessitating further research to elucidate its global migration routes. From 2018 to 2021, the migration routes of 13 adult Common cuckoos breeding in the north of the Qinghai-Tibet Plateau were tracked using satellite trackers. We found that (1) the migration routes of this Common cuckoo population mainly separate into three directions: 8 individuals followed the western routes along the western edge of the Qinghai-Tibet Plateau to the south, 3 individuals traversed the eastern routes along the eastern part of the Qinghai-Tibet Plateau and the rest 2 opted for the middle routes across most of the Qinghai-Tibet Plateau to the south. (2) Individual marked with the identifier 201907 exhibited a consistent stopover site selection during autumn migration. However, it changed the breeding area after spring migration. (3) In the context of autumn migration, 4 tracked Common cuckoos (50%) along the western migratory routes exhibited a consistent preference for the Hotan area in Xinjiang as their stopover site. Concurrently, 3 individuals (100%) traversing the eastern migratory route consistently selected stopover locations in the vicinity of Baoshan city, Yunnan. (4) The migration speed of Common cuckoos is significantly higher in spring than in autumn, and the stopover duration of spring migration is significantly lower than that of autumn migration. The daily flight time of spring migration is concentrated between 0–12 clock, while that of autumn migration is between 0–6 clock. (5) Migration routes of the Central Asian Common cuckoo population were limited by the Qinghai-Tibet plateau. The population exhibited high levels of plasticity, with individuals with longer wings tending to select the east and middle routes, while shorter wings were observed more frequently in the west route. Our findings reveal that central Asian common cuckoo populations exhibit a preference for a minimum-time strategy during spring migration, with migration routes selected based on wing length.
Feature Selection with PSO and Convolutional Neural Network with Long Short-Term Memory for Medical Application
Authors: ASWATHI R. RAJA , KUMAR K. PAZHANI , RAMAKRISHNAN B. 
Published: February 2024

Abstract
The presence of cardiovascular disease is the main cause of fatalities and illnesses throughout. Predicting heart disease prognosis in medical data analytics is quite difficult. The spectacular amount of unstructured data produced by search has demonstrated that significant features are crucial in enhancing the effectiveness of machine learning models. In this study, the dataset of hospitalised patients' heart failure survivors is analysed. It is important to discover critical characteristics and effective deep-learning methodologies to increase the accuracy of survival prediction for cardiovascular patients. This research is approached by using K-Means segmentation for partitioning data. After segmentation, the highest-ranking features chosen by Particle Swarm Optimization (PSO) are used to train machine learning models. Finally, trained data of patients are classified using a hybrid technique combining Convolutional Neural Network (CNN) and Long-Short Term Memory (LSTM). The classification attains an overall accuracy of 94.63%, thereby supporting experts to predict disease earlier. The examination of the proposed is accomplished through Python Software and the outcomes reveal that the hybrid classification technique performs better metrics when contrasted with state-of-art approaches.
An Interpretive Phenomenological Analysis on Person-Centered Thinking Trainer Training in a Korean Context
Authors: YOON JAE YOUNG , Ahn Hyungjin , Park Jaesung 
Published: February 2024

Abstract

Aim: This study aimed to interpret the experiences of Korea's first trainers in Person-Centered Thinking (PCT) training and provide guidelines for future contextually relevant programs.
Design: Utilizing Interpretative Phenomenological Analysis (IPA), the research explored subjective experiences of four pioneering PCT trainers in Korea, emphasizing the importance of subjectivity within the training process.
Findings: Four distinct themes emerged, representing the trainers' transformative journey: "Ignition: The Spark of Change," "Illumination: Lighting the Path Ahead," "Guidance: Navigating Progress," and "Introspection: The Destination of Transformation." These encapsulate the nuanced dimensions of their training.
Discussion: The study unravels the complexities of becoming a PCT trainer in Korea, emphasizing training as a transformative journey, surpassing mere skill acquisition. It underscores the need for tailored, contextually-appropriate PCT training.
Conclusion: The findings are vital for developing context-specific PCT training in Korea. They offer insights shaping PCT's future direction, particularly highlighting the significance of understanding and addressing relationships within the training system.
Effect of Time and Photoactivated Face on Bond Strength of Brackets and on Degree of Monomer Conversion
Authors: Cruz Itanielly Dantas Silveira , de Sena Lorena Marques Ferreira , Fernandes Eloisa Cesario , Moreno Mariana Cabral , Souza Rodrigo Othávio de Assunção e , Alves Arthur César de Medeiros , Caldas Sergei Godeiro Fernandes Rabelo , Simplício Hallissa 
Published: February 2024

Abstract

Objective
was to evaluate the effect of different photoactivation protocols of a high-power photo activator on the shear bond strength (SBS) between metal brackets and dental enamel and on the degree of conversion (DC) of an orthodontic resin.
Material and Methods
40 bovine incisor crowns were randomly assigned to 4 groups (n = 10). The brackets were bonded with Transbond XT® resin using 4 protocols according to the “photoactivation protocol” factor which was subdivided into: photoactivated faces and photoactivation time. All the samples were stored for 4 months (water,37ºC) and then subjected to a SBS test (100KgF,1mm/min). 40 resin discs were made to evaluate the monomer degree of conversion. Data from the SBS and DC were assessed by One-way ANOVA and Tukey’s test (5%). Bond failures were analyzed according to the Adhesive Remnant Index (ARI) and evaluated by the Kruskal-Wallis test (5%).
Results
One protocol showed a clinically acceptable SBS value. There was a statistically significant difference (p = 0.008) in the One-way ANOVA result for SBS values, but the protocols showed statistically similar results (p ≥ 0.05–Tukey’s tests) concerning the photoactivated faces and photoactivation time factors individually. There was no statistically significant difference (p ≥ 0.05) in the One-way ANOVA result for DC values.
Conclusion
The SBS and DC values will vary depending on the protocol applied and 6 seconds-centered activation seems to be the most suitable for clinical practice.
Clinical Relevance: It is possible to maintain the bracket fixation quality with the use of a high-power LED photo activator associated with a shorter photoactivation time.
A Composite Innovation Factor based on the Constrained MAR Model
Authors: Xin Ling , Wang Xiaohang , Yu Philip L.H. 
Published: February 2024

Abstract

The purpose of this paper is to measure firms’ innovativeness by integrating multiple indicators of R&D activities. In each year, observations from homogeneous firms naturally form a matrix with each column (row) for a firm and each row (column) for an indicator. We propose to monitor the matrix-valued observations over time via a constrained matrix autoregressive (MAR) model and to estimate a latent factor, named the composite innovation factor (CIF), which drives the comovement of multiple indicators. We develop the estimation procedure for the constrained MAR model by means of the iterated least squares method and the inference procedure by bootstrapping. The proposed model contributes to building linkages among different dimensions of R&D activities. It monitors the commonality and interplay of multiple indicators with minimum parameters, captures the persistency through time in innovation activities, and enables each firm to have a unique persistency coefficient. The CIF estimation facilitates the peer and trend analysis of firms’ innovativeness, and it is promptly and easily implemented. In real data analysis, we adopt classification tests to compare innovation evaluation by our estimated CIF and by reputable ranking organizations.
A numerical technique for solving fractional optimal control problems using fractional wavelet method
Authors: Singh Akanksha , Ray S. 
Published: February 2024

Abstract
This manuscript presents an efficient numerical method for solving fractional optimal control problems using an operational matrix for a fractional wavelet. Using well-known formulae such as Caputo and Riemann-Liouville operators to determine fractional derivatives and integral fractional wavelets, operational matrices were devised and utilized to solve fractional optimal control problems. The proposed method reduced the fractional optimal control problems into a system of algebraic equations and apply the Lagrange multiplier technique for determining the cost value. The convergence analysis and error bound of the proposed scheme have been established. To validate the effectiveness of the presented numerical approach, some illustrative examples were solved using fractional Taylor and Taylor wavelets, and the approximate cost function value derived by approximating state and control functions was compared.
MSC Classification: 49J15 , 49N10 , 65T60 , 26A33.
An optoelectronic Portable Device for Real-Time Nitrate Detection in Water
Authors: Saxena Gaurav , Joshi Amit M. , Sahu Chitrakant 
Published: February 2024

Abstract

The utilization of autonomous devices has disrupted conventional digital monitoring across diverse domains, particularly impacting environmental monitoring, agriculture, healthcare, as well as healthcare diagnostics. These contemporary autonomous deployables in the field enable dependable testing, gathering of data, and swift transmission of information. Among a variety of prevalent identifying techniques, the spectrophotometric approach stands out for its ability to precisely detect environmental samples at very low concentrations, offering cost-effectiveness and user-friendly operation. Consequently, this study focuses on designing a standalone, handy real-time nitrate concentration detection in water samples, employing readily available light-emitting diodes (LEDs) and photodi-odes with a peak response matching the absorption wavelength of the quartz cuvette in the spectrophotometric detection device. The end product is a portable, extremely sensitive, economical, and energy-efficient device. It integrates a display for offline transfer of information. In a proof-of-concept scenario, nitrate samples were spectrophotometrically tested, detecting nitrate in the linear range of 10–140 mg/L with a limit of detection (LOD) of 0.0072 mg/L. With suitable modifications to the optoelectronic components, the developed spectrophotometric detection platform could potentially be adapted to sense various analytes.
Behavior and injuries of phytophagous mites on apple trees (Malus domestica: Rosaceae)
Authors: Rode Priscila Andrade , Schneider Júlia Renata , Mariano Cristina Jardim Cezar , Matthes Ronice Drebel , Castro Iury Silva , Ferla Noeli Juarez 
Published: February 2024

Abstract
This study aimed to assess the behavior of phytophagous mites, including conspecific and heterospecific effects, and the injuries caused by them at different population levels on apple tree leaves (Malus domestica: Rosaceae). The oviposition of Panonychus ulmi (Koch) was evaluated on apple tree leaves with the presence of webs, eggs, and cues of phytophagous mites (Aculus schlechtendali (Nalepa), P. ulmi, Tetranychus urticae Koch, and Tetranychus ludeni Zacher). The response to different infestation levels of P. ulmi, T. urticae, and T. ludeni on apple tree leaves was assessed through chlorophyll A, B, and total chlorophyll indices and membrane stability loss. The presence of conspecific webs and cues increased the oviposition of P. ulmi, while the presence of A. schlechtendali and T. urticae webs and eggs decreased oviposition. The presence of A. schlechtendali cues also led to a decline in P. ulmi oviposition. Leaves infested with T. urticae showed higher chlorophyll loss, leaves infested by P. ulmi and T. ludeni had decreased chlorophyll averages in treatments with 25 mites/leaf and above. The evaluation of membrane stability loss identified T. ludeni as a potential cause of injuries in apple trees. The evaluations indicated that the higher the number of mites on the leaf surface, the larger the damaged area. This work warning to the apple production chain for monitoring infestations and preventing a potential threat to culture. These results provide a foundation for further research on the potential of apple tree phytophagous mites and their interactions, both among herbivores and with predators.