bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identifying students with dyslexia: exploration of current assessment methods
Authors: Daniel Johny , Clucas Lauryn , Wang Hsuan-Hui 
Published: August 2024

AbstractEarly identification plays a crucial role in providing timely support to students with learning disabilities, such as dyslexia, in order to overcome their reading difficulties. However, there is significant variability in the methods used for identifying dyslexia. This study aimed to explore and understand the practices of dyslexia identification in the UK. A survey was conducted among 274 dyslexia professionals, including educational psychologists and dyslexia specialists, to investigate the types of assessments they employ, their approach to utilizing assessment data, their decision-making processes, and their conceptualization of dyslexia. Additionally, the study examined whether these professionals held any misconceptions or myths associated with dyslexia. Analysis of the survey data revealed substantial variability in how professionals conceptualize dyslexia, as well as variations in assessment methods. Furthermore, a significant proportion of the survey respondents subscribed to one or more misconceptions regarding dyslexia; the most common misconception identified among professionals was the belief that children with dyslexia read letters in reverse order. The findings highlight the need for standardized approaches to dyslexia identification and debunking prevailing misconceptions. The implications of these findings are discussed, emphasizing the importance of informed policy and practice in supporting students with dyslexia. Recommendations are provided to enhance consistency and accuracy in dyslexia identification, with the aim of facilitating early intervention and support for affected students.
Emigration of Juvenile Tarpon Megalops atlanticus from Ephemerally Connected Coastal Ponds
Authors: Bunting Matthew S. , Stevens Philip W. , Blewett David A. , Tuckett Quenton M. , Hill Jeffrey E. , Poulakis Gregg R. , Shea Colin P. , Saari Courtney R. 
Published: August 2024

AbstractWorldwide, coastal wetlands are threatened by disrupted hydrology, urbanization, and sea-level rise. In southwest Florida, coastal wetlands include tidal creeks and coastal ponds, which are the primary habitats used by juvenile Tarpon, Megalops atlanticus, an important sport fish. Coastal ponds can occur near uplands and are ephemerally connected to the open estuary, creating conditions of variable dissolved oxygen and salinity. Juveniles can tolerate wide-ranging abiotic conditions, but little is known about how they egress from their remote nursery habitats, which often requires them to cross > 1 km of mangrove forest to reach the open estuary. The objective of this study was to (1) compare Tarpon body condition among ponds close to the open estuary versus those ponds farther away on the Cape Haze peninsula of Charlotte Harbor, Florida, and (2) using acoustic telemetry determine what factors contribute to Tarpon emigration from the ponds to open estuarine waters. We tested the hypothesis that distinct groups of Tarpon occur in isolated ponds, leading to variation in fish length and body condition, and that opportunities for emigration from these ponds hinge on high water events. No pond stood out as having Tarpon of low body condition. Factors contributing to increased probabilities of Tarpon emigration were low barometric pressure, high-water level, and Tarpon body length. Tarpon emigrated from ponds near tidal creeks during summer king tides, while tropical cyclone conditions were needed to allow for movement from ponds farther in the landscape. The juvenile Tarpon were later detected at the mouths of large rivers 30 km up-estuary. The characterizations of water levels and event criteria needed for successful Tarpon nurseries should aid in habitat conservation and the creation of Tarpon nursery habitat in restoration designs.
Importance of genetic clarification in cytopenia syndromes (childhood myelodysplastic syndrome forms)
Authors: Novak Wolfgang , Kroiss Doris , Karlhuber Susanne , Frohne Alexandra , Segarra-Roca Anna , Simonitsch-Klupp Ingrid , Boztug Heidrun , Engstler Gernot , Kager Leo , Boztug Kaan , Dworzak Michael 
Published: August 2024

SummaryChildhood myelodysplastic syndrome (cMDS) is a rare clonal hematopoietic disorder characterized by peripheral cytopenia, with refractory cytopenia of childhood (RCC) being the most prevalent form. In children presenting with pancytopenia and significantly reduced bone marrow cellularity, RCC, severe aplastic anemia (SAA), and inherited bone marrow failure syndromes (IBMFS) are critical differential diagnoses, with accurate distinction being pivotal for effective treatment decisions. While histopathological analysis remains fundamental in differentiating these conditions, genetic and molecular testing are playing an increasingly important role. Reflecting this importance, two new classifications for cMDS were introduced in 2022: the WHO 5th edition and the International Consensus Classification (ICC). Both classifications have broadened the scope to include additional gene mutations, highlighting advances in understanding the genetic underpinnings of cMDS. However, significant differences in terminology persist: while the WHO 5th edition redefined RCC, replacing it with the term childhood MDS with low blasts (cMDS-LB), the ICC retained the RCC designation. This paper presents two cases that illustrate the current challenges in diagnosing and treating disorders in the spectrum of cMDS. One case describes a patient with germline GATA2 deficiency, highlighting the difficulties of distinguishing between SAA and cMDS in a timely manner. The other case underscores the importance of whole exome sequencing to differentiate between IBMFS and cMDS in the presence of a histomorphological RCC pattern.
Data Sovereignty in Inter-organizational Information Systems
Authors: Opriel Sebastian , Möller Frederik , Strobel Gero , Otto Boris 
Published: August 2024

AbstractCar manufacturers and suppliers in the Automotive industry increasingly face the issue of optimization of highly complex supply chains that need to accommodate each customer's precise demands, requiring a vast array of parts and information to be available at the right place and at the right time. This involves data sharing between organizations, which is hindered by various issues, such as fear of data misappropriation by the data receiver or the involuntary disclosure of business secrets. The paper proposes design principles for a novel type of Inter-Organizational Information System, which addresses these challenges through the technical implementation of data sovereignty. The study reports on an Action Design Research study in the Automotive industry between a car manufacturer and a 1st-tier supplier. It contributes (a) design requirements, (b) design features, (c) an instantiation, and (d) design principles for this type of data sovereign inter-organizational information system.
Effect of Pistachio Shell Biochar and Organic Cow Manure Application on Plant Growth, Water Retention Capacity and Nutrient Stress Mitigation
Authors: Pradhan Snigdhendubala , Parthasarathy Prakash , Mackey Hamish R. , Al-Ansari Tareq , McKay Gordon 
Published: August 2024

Abstract
Sustainable crop production supports food security by mitigating water and nutrient stress from manures by excessively drained water. Cow manure is a good nutrient resource to enhance soil fertility and plant growth but requires a suitable amender to reduce the nutrients loss by leaching. Worldwide more than 20,400 metric tonnes of pistachios were consumed where roughly 30% of the weight of the nut is the shell which could be a good feedstock for biochar production. Therefore, this study was conducted to produce biochar from pistachio shell by pyrolysis process at three different temperatures 350 to 550 °C and based on various properties characterization, the biochar at 450 °C was amended with 0% (control), 2%, 4% and 8% to the cow manure for eggplant growth (Solanum melongena). Out of all fractions of biochar application, 2% biochar has virtuous performance to increase 5.63 ± 1.45 cm of plant height, 1.33 ± 4.79 cm leaf length and 1.90 ± 4.43 cm leaf width over the control. The leaf chlorophyl content and plant biomass were also significantly (p = 0.02) increased compared to the control. The lower fraction of biochar application showed almost similar water retention capacity with control (p > 0.11) due to the better plant growth. Based on the findings of this study, it is proposed that lower fraction of biochar application with manure is a constructive solution to improve soil quality, reduce nutrient loss and eggplant growth. Under the circular economy and frameworks of sustainability, pistachio shell biochar production has a high legislative attention on valorizing nutshell wastes.

Graphical Abstract
Body fluid multiomics in 3PM-guided ischemic stroke management: health risk assessment, targeted protection against health-to-disease transition, and cost-effective personalized approach are envisaged
Authors: Chen Ruofei , Wang Xiaoyan , Li Na , Golubnitschaja Olga , Zhan Xianquan 
Published: August 2024

AbstractBecause of its rapid progression and frequently poor prognosis, stroke is the third major cause of death in Europe and the first one in China. Many independent studies demonstrated sufficient space for prevention interventions in the primary care of ischemic stroke defined as the most cost-effective protection of vulnerable subpopulations against health-to-disease transition. Although several studies identified molecular patterns specific for IS in body fluids, none of these approaches has yet been incorporated into IS treatment guidelines. The advantages and disadvantages of individual body fluids are thoroughly analyzed throughout the paper. For example, multiomics based on a minimally invasive approach utilizing blood and its components is recommended for real-time monitoring, due to the particularly high level of dynamics of the blood as a body system. On the other hand, tear fluid as a more stable system is recommended for a non-invasive and patient-friendly holistic approach appropriate for health risk assessment and innovative screening programs in cost-effective IS management. This article details aspects essential to promote the practical implementation of highlighted achievements in 3PM-guided IS management.
Modeling fisheries and carbon sequestration ecosystem services under deep uncertainty in the ocean twilight zone
Authors: Oostdijk Maartje , Elsler Laura G. , Van Deelen Julie , Auping Willem L. , Kwakkel Jan , Schadeberg Amanda , Vastenhoud Berthe M. J. , Nedelciu Claudiu Eduard , Berzaghi Fabio , Prellezo Raul , Wisz Mary S. 
Published: August 2024

AbstractMesopelagic fishes are a vital component of the biological carbon pump and are, to date, largely unexploited. In recent years, there has been an increased interest in harvesting the mesopelagic zone to produce fish feed for aquaculture. However, great uncertainties exist in how the mesopelagic zone interacts with the climate and food webs, presenting a dilemma for policy. Here, we investigate the consequences of potential policies relating to mesopelagic harvest quotas with a dynamic social-ecological modeling approach, combining system dynamics and global sensitivity analyses informed by participatory modeling. Our analyses reveal that, in simulations of mesopelagic fishing scenarios, uncertainties about mesopelagic fish population dynamics have the most pronounced influence on potential outcomes. The analysis also shows that prioritizing the development of the fishing industry over environmental protection would lead to a significantly higher social cost of climate change to society. Given the large uncertainties and the potential large impacts on oceanic carbon sequestration, a precautionary approach to developing mesopelagic fisheries is warranted.
The role of traditional ecological knowledge, given the transformation of pastoralism in Central and Eastern Mongolia
Authors: Peter Sophie , Niess Sarah , Batjav Batbuyan , Dejid Nandintsetseg , Drees Lukas , Jäschke Yun , Kasymov Ulan , Damdindorj Sugar , Dorjoo Khishigdorj , Gonchigsumlaa Ganzorig , Matias Denise Margaret S. , Müller Thomas , Mehring Marion 
Published: August 2024

AbstractMongolian nomadic herders traditionally pass on ecological knowledge intergenerationally, mainly within families. However, little is known about how current societal transformation processes may impact the application and transfer of traditional ecological knowledge (TEK) amongst herders. Combining quantitative household survey data with qualitative interviews, we show that TEK is still widely applied amongst herders. Our data show that households living under conditions of greater societal transformation apply TEK more often in order to adapt to the situation than households under lower transformation pressure. High transformation pressure goes along with high human population and livestock density and thus competition for good pastureland. In addition, our results show that intragenerational knowledge transfer between families is gaining more importance nowadays. For Mongolia, we recommend facilitating access to and strengthening the exchange of TEK to prepare herders for the future due to the high level of uncertainty accompanying societal transformations.
Microwave Photonic Systems for Demodulation of Optical Fiber Interference Signals
Authors: Chen Yuru , Lei Xiaohua , Liu Xianming , Zhang Peng 
Published: August 2024

AbstractFiber optic sensors have been gradually used in aerospace, petrochemical, electronic power, civil engineering, and biomedical fields because of their many advantages such as the anti-electromagnetic interference, corrosion resistance, light weight, small size, high accuracy, and easy reuse. In recent years, sensing and demodulation technologies based on microwave photonics have attracted widespread attention. Optical fiber sensing combined with microwave photonics has higher sensitivity and flexibility, which is important for the demodulation of interferometric signals. This article introduces and analyzes the principle, structure, and performance of the demodulation technology of fiber optic interferometric signals based on microwave photonics from the perspective of system structures, such as filters, oscillators, and interferometers, and discusses the future research and development directions.
Effect of environmental factors on modal identification of a hydroelectric dam’s hollow-gravity concrete block
Authors: Ardila-Ardila Yeny V. , Gómez-Araújo Iván D. , Villalba-Morales Jesús D. , Aracayo Luis A. 
Published: August 2024

AbstractDams are a type of civil infrastructure that can directly impact people’s well-being, as their function is energy production, flood control, or water supply. Therefore, it is worth generating strategies to assess its current condition, since structural changes may occur during its useful life. One highly effective approach for evaluating the structural integrity of dams involves monitoring alterations in modal parameters. This method enables the identification of abnormal changes that may arise from structural degradation. Numerous studies have revealed the strong influence of environmental factors on modal parameters, resulting in variations unrelated to structural damage. This paper investigates the effects of environmental factors such as upstream water level and air temperature on the temporal evolution of the identified modal parameters of a hydroelectric dam’s hollow-gravity concrete block. Modal identification is performed through an automatic procedure of estimating modal parameters to 30-min acceleration time series over 3 years of operation. Correlation analysis reveals a distinct relationship between the identified modal parameters and environmental factors. Changes in air temperature exhibit a direct proportional impact on natural frequencies, while fluctuations of the upstream level have an inverse effect. Furthermore, a time lag was observed in the natural frequencies concerning air temperature. Multiple linear regressions were fitted to mitigate the induced effects, incorporating as predictors the upstream water level and the averages of air temperature segments measured prior to the predicted frequency. A reduction in variability of more than 50% was achieved in an out-of-sample 8-month period for the modes linked to the natural frequencies most influenced by environmental factors.
An AI-Based Method for Estimating the Potential Runout Distance of Post-Seismic Debris Flows
Authors: Qiu Chenchen , Su Lijun , Bian Congchao , Zhao Bo , Geng Xueyu 
Published: August 2024

AbstractThe widely distributed sediments following an earthquake presents a continuous threat to local residential areas and infrastructure. These materials become more easily mobilized due to reduced rainfall thresholds. Before establishing an effective management plan for debris flow hazards, it is crucial to determine the potential reach of these sediments. In this study, a deep learning-based method—Dual Attention Network (DAN)—was developed to predict the runout distance of potential debris flows after the 2022 Luding Earthquake, taking into account the topography and precipitation conditions. Given that the availability of reliable precipitation data remains a challenge, attributable to the scarcity of rain gauge stations and the relatively coarse resolution of satellite-based observations, our approach involved three key steps. First, we employed the DAN model to refine the Global Precipitation Measurement (GPM) data, enhancing its spatial and temporal resolution. This refinement was achieved by leveraging the correlation between precipitation and regional environment factors (REVs) at a seasonal scale. Second, the downscaled GPM underwent calibration using observations from rain gauge stations. Third, mean absolute error (MAE), mean square error (MSE), and root mean square error (RMSE) were employed to evaluate the performance of both the downscaling and calibration processes. Then the calibrated precipitation, catchment area, channel length, average channel gradient, and sediment volume were selected to develop a prediction model based on debris flows following the Wenchuan Earthquake. This model was applied to estimate the runout distance of potential debris flows after the Luding Earthquake. The results show that: (1) The calibrated GPM achieves an average MAE of 1.56 mm, surpassing the MAEs of original GPM (4.25 mm) and downscaled GPM (3.83 mm); (2) The developed prediction model reduces the prediction error by 40 m in comparison to an empirical equation; (3) The potential runout distance of debris flows after the Luding Earthquake reaches 0.77 km when intraday rainfall is 100 mm, while the minimum distance value is only 0.06 km. Overall, the developed model offers a scientific support for decision makers in taking reasonable measurements for loss reduction caused by post-seismic debris flows.
Pin-on-disc tribological characterization of single ingredients used in a brake pad friction material
Authors: Carlevaris Davide , Varriale Francesco , Wahlström Jens , Menapace Cinzia 
Published: August 2024

AbstractResearchers have long been studying the effects of the modification of friction material compositions on their tribological properties. Predictive models have also been developed, but they are of limited use in the design of new compositions. Therefore, this research aims to investigate the tribological behaviour of single ingredients in friction materials to develop a tribological dataset. This dataset could then be used as a foundation for a cellular automaton (CA) predictive model, intended to be a tool for designing friction materials. Tribological samples were almost entirely composed of four distinct friction material ingredients, and one sample composed of their mixture was successfully produced. Pin-on-disc (PoD) tribometer testing and scanning electron microscopy/energy-dispersive X-ray spectroscopy (SEM/EDXS) analysis were used for the tribological characterization. Each material showed distinct tribological properties and evolution of the contact surface features, and the synergistic effect of their mutual interaction was also demonstrated by their mixture.
Tribological behavior of TiN, AlTiN, and AlTiCrN coatings in atmospheric and vacuum environments
Authors: Hwang Youn-Hoo , Seo Kuk-Jin , Kim Tae-Hyeong , Min You Jin , Liu Yuzhen , Kim Dae-Eun 
Published: August 2024

AbstractIn this study, the tribological characteristics of TiN, AlTiN, and AlTiCrN coatings sliding against a SUS420J1 stainless steel pin were investigated in atmospheric and vacuum environments. The coatings were deposited on SUS440C substrates using the arc-physical vapor deposition technique. The friction and wear behavior of the coatings were evaluated based on the systematic analyses of the friction coefficient data as well as the physical and chemical state of the wear track. The results revealed that the friction coefficients of the SUS440C specimen and AlTiCrN coatings increased, whereas those of the TiN and AlTiN coatings decreased when the environment was changed from atmospheric to vacuum. It was confirmed that the formation of an oxide layer and adsorption of oxides on the surface were dominant factors that influenced the tribological behavior in the atmospheric environment. On the other hand, the compatibility, oxidation inhibition, and droplets of the surface mainly affected the frictional characteristics in the vacuum environment. The results of this work are expected to aid in the selection of proper coating materials for tribological systems operating in a vacuum.
Advancing Rapid Arsenic (III) Detection Through Device-Integrated Colorimetry
Authors: Bonthula Sumalatha , Devarajan Surya , Maurya Muni Raj , Al-Maadeed Somaya , Maalej Ramzi , Chaari Mohamed Zied , Sadasivuni Kishor Kumar 
Published: August 2024

AbstractIt is essential to detect precise traces of inorganic arsenic ions when utilized, which may increase the risks of several health issues such as lung, bladder, skin cancer, and diabetes diseases. In this study, bromocresol green, chlorophenol red, and cresol red dyes were examined to detect the presence of arsenic (III). Further, we present a colorimetric arsenic (III) detection using a cost-effective paper-based sensor and portable device method. The calibration plot from UV-Vis absorption exhibited a detection limit of ∼0.054 µM of arsenic (III) in the detection range of 0–10 mM. The selectivity study establishes this method for visual on-site detection of arsenic (III) combined with the simultaneous presence of common coexisting ions. The paper and device-based dual strategy to detect arsenic (III) offered high sensitivity and selectivity under room conditions. Both the paper sensor and the proposed device have a potential for rapid on-site detection of arsenic (III). Therefore, it could provide a viable solution for the design of affordable, sensitive, and portable tools for the environmental monitoring of arsenic (III).