bluuebunny/crossref_metadata_2025_split huggingface dataset:
Non-malignant features of cancer predisposition syndromes manifesting in childhood and adolescence: a guide for the general pediatrician
Authors: Kuhlen Michaela , Weins Andreas B. , Stadler Nicole , Angelova-Toshkina Daniela , Frühwald Michael C. 
Published: December 2024

Abstract
Purpose
Cancer predisposition syndromes are genetic disorders that significantly raise the risk of developing malignancies. Although the malignant manifestations of cancer predisposition syndromes are well-studied, recognizing their non-malignant features is crucial for early diagnosis, especially in children and adolescents.

Methods
A comprehensive literature search was conducted using the PubMed database, focusing on non-malignant manifestations of cancer predisposition syndromes in children and adolescents. Key sources included the Clinical Cancer Research pediatric oncology series and ORPHANET. Studies that described clinical signs and symptoms affecting specific organ systems were included.

Results
Non-malignant dermatological features often serve as early indicators of cancer predisposition syndromes, including café-au-lait spots in Neurofibromatosis Type 1 and facial angiofibromas in Tuberous Sclerosis Complex. Neurological and developmental anomalies such as cerebellar ataxia in ataxia-telangiectasia and intellectual disabilities in neurofibromatosis type 1 and tuberous sclerosis complex are significant indicators. Growth and metabolic anomalies are also notable, including overgrowth in Beckwith–Wiedemann syndrome and growth hormone deficiency in neurofibromatosis Type 1. In addition, facial anomalies, ocular manifestations, hearing issues, and thyroid anomalies are prevalent across various cancer predisposition syndromes. For instance, hearing loss may be significant in neurofibromatosis Type 2, while thyroid nodules are common in PTEN hamartoma tumor syndrome and DICER1 syndrome. Cardiovascular, abdominal, musculoskeletal, pulmonary, genitourinary manifestations, and prenatal deviations further complicate the clinical picture.

Conclusions
Recognizing non-malignant features of cancer predisposition syndromes is essential for early diagnosis and management. This organ-specific overview furthers awareness among healthcare providers, facilitating timely genetic counseling, surveillance programs, and preventive measures, ultimately improving patient outcomes.

Graphical abstract
Towards an eco-social circular economy: exploring the feasibility study of pyrolysis on agricultural feedstocks
Authors: Allison Thomas , Shivaprasad Kumar Vijayalakshmi , Malik Abdullah , Rafiq Rehman , Wang Yaodong , Roskilly Anthony Paul 
Published: December 2024

AbstractThe agricultural sector is challenging to decarbonise due to its reliance on heavy machinery and fossil fuels, which face issues when decarbonising via methods such as electrification. However, agriculture provides opportunities to generate renewable energy via biomass sources due to their abundance within this sector. This feasibility study used a continuous auger pyrolysis system to assess how straw waste from a medium-scale arable farm could convert energy from an external electrical source into usable chemical potential. Wheat, barley, oil seed rape (OSR), and bean straw have all been processed and pyrolysed under different temperatures and auger feed rates. The syngas product was then analysed, considering its composition and the lower heating value. Results indicate that the percentage of carbon monoxide and hydrogen and the total volume of syngas increased with temperature. In addition, the syngas’ energy quantity increased despite the product’s decreasing heating value. The case study’s annual energy demand was equal to 14.4% of the 3900 GJ maximum potential contained within the syngas, and thus it can be concluded that there is potential for the application of this system towards a circular economy. The system’s cold gas, net, and electrical conversion efficiency were also assessed with maximum values of 37.1%, 30.1%, and 174.4%, respectively. Furthermore, the statistical analysis confirms high predictability for wheat, barley, bean, and OSR feedstocks, with a general linear model showing high accuracy across all.
smCamera: all-in-one software package for single-molecule data acquisition and data analysis
Authors: Lee Kyung Suk , Ha Taekjip 
Published: December 2024

AbstractIn the last decades, biological applications of single-molecule methods have grown rapidly and researchers with expertise in microscopy and instrumentation have adopted these techniques and advanced them even further. However, practicing single-molecule methods is still challenging for most because of the need for expensive equipments and instrumentation demands as well as complicated data acquisition and analysis workflow consisting of multiple steps using different software in each of them. smCamera is an all-in-one software package which aims to alleviate steep learning curves of the data acquisition and analysis. From recording movies through extraction of time series of single-molecule fluorescence resonance energy transfer (smFRET), everything can be done in a single program without any additional software or programming languages. Although smCamera has not been published before, it has been distributed to facilitate adaption of smFRET experiments and there has been requests for support for this software. We hope that this work answers questions from researchers using smCamera and also provides an opportunity to introduce and distribute smCamera for new users.
Application of an improved TEM-EDS protocol based on charge balance for accurate chemical analysis of sub-micrometric phyllosilicates in low-grade metamorphic rocks
Authors: Sanità Edoardo , Conconi Roberto , Lorenzon Sofia , Di Rosa Maria , Capitani Giancarlo , Mugnaioli Enrico 
Published: December 2024

Abstract
Determining the chemical composition of sub-micrometer rock-forming minerals is still a challenging task. The electron probe micro-analyzer (EPMA) is considered the most accurate analytical way to obtain chemical data on amorphous and crystalline materials. However, performing EPMA analyses on sub-micrometer-sized grains is uncertain not recommended as the risk of obtaining analyses contaminated from the surrounding phases. A transmission electron microscope (TEM) equipped with an energy dispersive X-ray spectrometer (EDS) provides a greater spatial resolution, making it possible to obtain trustworthy chemical information on sub-micrometer-sized material. In this work, we present a fast and cheap data-reduction protocol for TEM-EDS chemical analysis, where k-factors derived experimentally for each element of interest and absorption correction are implemented. The results are compared with those determined using standardless and non-corrected TEM-EDS protocols. The k-factor for oxygen plays a fundamental role and its value should be calculated from compounds similar to the phase of interest. For absorption correction, the contribution of hydrogen during structural formula recalculation is taken into account, like a lower net valence of oxygen. The robustness of this protocol was tested by performing TEM-EDS analyses on white mica grains from metapelites, belonging to the Internal Ligurian Units exposed in the Northern Apennines, the chemical composition of which is well constrained. Such a protocol has proven to provide high-quality results from both statistical and crystallo-chemical perspectives. Remarkably, the tested data-reduction protocol for TEM-EDS analysis provided chemical compositions consistent with the EPMA results previously obtained from the same samples.
Exploring cognitive characteristics and impairments in bipolar disorder: Insights from the BiDiLoS-Ng pilot study
Authors: Adiukwu Frances Nkechi , Adesokun Olufisayo , Amuta-Igwe Chinwendu Maryam , Metu Izuchukwu , Jack Isoboye Charles 
Published: December 2024

Abstract
Bipolar disorder (BD) is a leading cause of disability and is linked to cognitive and functional impairment, increased mortality from cardiometabolic disorders and bipolar disorder suicide. Few studies in sub-Saharan Africa have explored cognitive dysfunction in bipolar disorder. Our study explores the cognitive characteristics in a bipolar patient cohort in Nigeria and assesses its association with clinical and demographic variables.
40 participants from the Bipolar Disorder Longitudinal Study, at baseline, were included in the pilot study of the BiDiLos-Ng. Using a cross-sectional design, cognitive function was assessed using the Screen for Cognitive Impairment in Psychiatry. Multiple linear regression models were used to explore associations between dependent and independent variables.
Cognitive impairment was present in 41% of the bipolar cohort, it was not associated with the frequency of mood episodes, and higher educational level was associated with higher verbal fluency test scores (p = 0.02). Being in employment (p = 0.03), younger age (p = 0.00), and lower YMRS score (p = 0.006) were associated with higher working memory test scores.
The presence of mania symptoms during the euthymic phase of BD was associated with cognitive impairment. Executive function and working memory were linked to better academic and occupational attainment.
The combination of a glucagon-like peptide-1 and amylin receptor agonists reduces alcohol consumption in both male and female rats
Authors: Aranäs Cajsa , Edvardsson Christian E. , Zentveld Lindsay , Vallöf Daniel , Witley Sarah , Tufvesson-Alm Maximilian , Shevchouk Olesya T. , Vestlund Jesper , Jerlhag Elisabet 
Published: December 2024

Abstract

Objective:
Combining different pharmaceuticals may be beneficial when treating disorders with complex neurobiology, including alcohol use disorder (AUD). The gut-brain peptides amylin and GLP-1 may be of potential interest as they individually reduce alcohol intake in rodents. While the combination of amylin receptor (AMYR) and glucagon-like peptide-1 receptor (GLP-1R) agonists have been found to decrease feeding and body weight in obese male rats synergistically, their combined impact on alcohol intake is unknown.

Methods:
Therefore, the effect of the combination of an AMYR (salmon calcitonin (sCT)) and a GLP-1R (dulaglutide) agonist on alcohol intake in rats of both sexes was explored in two separate alcohol-drinking experiments. The first alcohol-drinking experiment evaluated the potential of adding sCT to an ongoing dulaglutide treatment, whereas the second alcohol-drinking experiment examined the effect when adding sCT and dulaglutide simultaneously.

Results:
When adding sCT to an ongoing dulaglutide treatment, a reduction in alcohol intake was observed in both male and female rats. However, when combining sCT and dulaglutide simultaneously, an initial reduction in alcohol intake was observed in rats of both sexes, whereas tolerance towards treatment was observed. In both alcohol-drinking experiments, this treatment combination consistently decreased food consumption and body weight in males and females. While the treatment combination did not affect inflammatory mediators, the gene expression of AMYR or GLP-1R, it changed fat tissue morphology.

Conclusions:
Further investigation needs to be done on the combination of AMYR and GLP-1R agonists to assess their combined effects on alcohol intake.
Exposure duration is the main determinant of bilinguals’ vocabulary knowledge
Authors: Segal Dorit , Kavé Gitit 
Published: December 2024

AbstractThe present study examines whether age of second language acquisition, duration of exposure to that language, and chronological age determine vocabulary knowledge in 214 Russian–Hebrew bilinguals (ages 19–80, immigration ages 1–46, and exposure duration 7–63 years). Participants reported their language background and completed a multiple-choice vocabulary test in Hebrew, alongside other objective tests of Russian and Hebrew proficiency. While vocabulary scores were below age-matched norms for native Hebrew speakers, they were similar to those of younger native speakers matching in exposure duration. Raw vocabulary scores were similar whether participants immigrated up to age 15 or after that age, although results indicated a negative association between age of immigration and vocabulary scores. A positive association emerged between exposure duration and vocabulary scores, and when analyzing all measures together, age of immigration did not predict vocabulary scores, whereas exposure duration was its main determinant. We suggest that bilingualism itself does not cause a vocabulary gap, and that bilinguals’ vocabulary knowledge in their second language improves with exposure, as it does in native speakers throughout adulthood. The study emphasizes that learning a foreign language requires extensive exposure and that vocabulary learning is a lifelong process.
Real-time multidimensional detection of longitudinal tears in conveyor belts using FPGA-based parallel acceleration
Authors: Li Fei , Hu Kun , Zheng Hangbin 
Published: December 2024

Abstract
In the continuous transportation process of coal in mining, exploring real-time detection technology for longitudinal tear of conveyor belts on mobile devices can effectively prevent transport failures. To address the challenges associated with single-dimensional detection, high network complexity, and difficulties in mobile deployment for longitudinal tearing detection in conveyor belts, we have proposed an efficient parallel acceleration method based on field-programmable gate arrays (FPGA) for the ECSMv3-YOLO network, which is an improved version of the you only look once (YOLO) network, enabling multidimensional real-time detection. The FPGA hardware acceleration architecture of the customized network incorporates quantization and pruning methods to further reduce network parameters. The convolutional acceleration engines were specifically designed to optimize the network’s inference speed, and the incorporation of dual buffers and multiple direct memory access channels can effectively mitigate data transfer latency. The establishment of a multidimensional longitudinal tear detection experimental device for conveyor belts facilitated FPGA acceleration experiments on ECSMv3-YOLO, resulting in model parameters of 6.257 M, mean average precision of 0.962, power consumption of 3.2 W, and a throughput of 15.56 giga operations per second (GOP/s). By assessing the effects of different networks and varying light intensity, and comparing with CPU, GPU, and different FPGA hardware acceleration platforms, this method demonstrates significant advantages in terms of detection speed, recognition accuracy, power consumption, and energy efficiency. Additionally, it exhibits strong adaptability and interference resilience.
Predictive model for genital tract infections among men and women in Ghana: An application of LASSO penalized cross-validation regression model
Authors: Ntumy Michael Yao , Tetteh John , Aguadze Stephen , Swaray Swithin M. , Udofia Emilia Asuquo , Yawson Alfred Edwin 
Published: December 2024

Abstract
To enhance the capacity for early and effective management of genital tract infections at primary and secondary levels of the healthcare system, we developed a prediction model, validated internally to help predict individual risk of self-reported genital tract infections (sGTIs) at the community level in Ghana. The study involved 32973 men and women aged 15–49 years from three rounds of the Ghana Demographic Health Survey, from 2003 to 2014. The outcomes were sGTIs. We applied the least absolute shrinkage and selection operator (LASSO) penalized regression with a 10-fold cross-validation model to 11 predictors based on prior review of the literature. The bootstrapping technique was also employed as a sensitivity analysis to produce a robust model. We further employed discriminant and calibration analyses to evaluate the performance of the model. Statistical significance was set at P-value <0.05. The mean±standard deviation age was 29.1±9.7 years with female preponderance (60.7%). The prevalence of sGTIs within the period was 11.2% (95% CI = 4.5–17.8) and it ranged from 5.4% (95% CI = 4.8–5.86) in 2003 to 17.5% (95% CI = 16.4–18.7) in 2014. The LASSO regression model retained all 11 predictors. The model’s ability to discriminate between those with sGTIs and those without sGTIs was approximately 73.50% (95% CI = 72.50–74.26) from the area under the curve with bootstrapping technique. There was no evidence of miscalibration from the calibration belt plot with bootstrapping (test statistic = 17.30; P-value = 0.060). The model performance was judged to be good and acceptable. In the absence of clinical measurement, this prediction tool can be used to identify individuals aged 15–49 years with a high risk of sGTIs at the community level in Ghana. Frontline healthcare staff can use this tool for screening and early detection. We, therefore, propose external validation of the model to confirm its generalizability and reliability in different population.
Current state of neurodevelopmental and psychosocial care practices for paediatric patients with ventricular assist devices: an Advanced Cardiac Therapies Improving Outcomes Network and Cardiac Neurodevelopmental Outcome Collaborative collaborative survey
Authors: Dusing Catherine R. , Turner Elise , Smyth Lauren , Cassidy Adam R. , Everitt Melanie D. , Graves Riki , Ilardi Dawn L. , Larkins Christina , McQueen Melissa , Roberts Hannah , Bolin Bonnie , Miller Thomas A. , Wright Lydia K. , Wolfe Kelly R. , Cousino Melissa K. 
Published: December 2024

AbstractPurpose:Paediatric patients with heart failure requiring ventricular assist devices are at heightened risk of neurologic injury and psychosocial adjustment challenges, resulting in a need for neurodevelopmental and psychosocial support following device placement. Through a descriptive survey developed in collaboration by the Advanced Cardiac Therapies Improving Outcomes Network and the Cardiac Neurodevelopmental Outcome Collaborative, the present study aimed to characterise current neurodevelopmental and psychosocial care practices for paediatric patients with ventricular assist devices.Method:Members of both learning networks developed a 25-item electronic survey assessing neurodevelopmental and psychosocial care practices specific to paediatric ventricular assist device patients. The survey was sent to Advanced Cardiac Therapies Improving Outcomes Network site primary investigators and co-primary investigators via email.Results:Of the 63 eligible sites contacted, responses were received from 24 unique North and South American cardiology centres. Access to neurodevelopmental providers, referral practices, and family neurodevelopmental education varied across sites. Inpatient neurodevelopmental care consults were available at many centres, as were inpatient family support services. Over half of heart centres had outpatient neurodevelopmental testing and individual psychotherapy services available to patients with ventricular assist devices, though few centres had outpatient group psychotherapy (12.5%) or parent support groups (16.7%) available. Barriers to inpatient and outpatient neurodevelopmental care included limited access to neurodevelopmental providers and parent/provider focus on the child’s medical status.Conclusions:Paediatric patients with ventricular assist devices often have access to neurodevelopmental providers in the inpatient setting, though supports vary by centre. Strengthening family neurodevelopmental education, referral processes, and family-centred psychosocial services may improve current neurodevelopmental/psychosocial care for paediatric ventricular assist device patients.
Future Pathways of Water, Energy, and Food in the Eastern Nile Basin
Authors: Abdelkader Ahmed , Elshorbagy Amin , Elshamy Mohamed , Wheater Howard 
Published: December 2024

AbstractThe Eastern Nile Basin (ENB) countries of Egypt, Sudan, South Sudan, and Ethiopia are subject to pronounced water, energy, and food (WEF) insecurity. There is a need to manage the WEF nexus to meet rapidly increasing demands, but this is extremely challenging due to resource scarcity and climate change. If countries that rely on shared transboundary water resources have contradictory WEF plans, that could diminish the expected outcomes, both nationally and regionally. Egypt as the most downstream Nile country is concerned about ongoing and future developments upstream, which could exacerbate Egypt's water scarcity and affect its ability to meet its WEF objectives. In this context, we introduce a multi‐model WEF framework that simulates the ENB water resources, food production, and hydropower generation systems. The models were calibrated and validated for the period 1983–2016, then utilized to project a wide range of future development plans, up to 2050, using four performance measures to evaluate the WEF nexus. A thematic pathway for regional development that shows high potential for mutual benefits is identified. However, the WEF planning outcomes for the region are sensitive to climate change, but, if social drivers could be managed (e.g., by lowering population growth rates) despite the difficulties involved, climate change impacts on WEF security could be less severe.
Earthquake Iso‐Nuisance and Iso‐Damage Mapping for Alberta: Applications for Choosing Magnitude Thresholds to Manage Induced Seismicity
Authors: Reyes Canales Mauricio , Galloway Elwyn , Pawley Steven , Yusifbayov Javad , Hartman Greg 
Published: December 2024

AbstractWe generate earthquake iso‐nuisance and iso‐damage maps for Alberta. These maps show the spatial distribution of earthquake magnitude required to reach a specific level of nuisance and damage, considering human exposure and surficial geological conditions. We rely on population distribution for the human exposure factor while utilizing Vs30 derived from surficial geological modeling to approximate site amplification effects. By including the trailing seismicity factor, the iso‐nuisance and iso‐damage maps provide the base for the Magnitude Threshold for Acceptable Seismicity maps, which can set a guideline for the upper magnitude boundary, or largest magnitude event permissible, related to industrial activities causing seismicity. The trailing seismicity factor refers to the subsequent seismicity after a substantial change or end of the seismogenic operations; for instance, the cessation of seismogenic hydraulic fracturing activities under a traffic light protocol after a magnitude threshold event (red‐light event). Considering variations in the trailing seismicity factor, we derive different Magnitude Threshold for Acceptable Seismicity maps for various injection‐induced activities, including hydraulic fracturing and fluid disposal activities. Extended versions of the Magnitude Threshold for Acceptable Seismicity maps could allow for safety factors pertinent to critical infrastructure in a particular area, incorporating other factors beyond the population distribution and warranting a different tolerance level. These maps help to define the magnitude threshold from induced seismicity, maintaining the same tolerance levels throughout a region. Thus, they can be highly beneficial in managing current and future cases of induced seismicity related to the energy sector.