bluuebunny/crossref_metadata_2025_split huggingface dataset:
Origin and generation mechanism of type-A Cs-bearing microparticles from Fukushima Daiichi
Authors: Laffolley Hugo , Journeau Christophe , Grambow Bernd 
Published: December 2023

Abstract
The Fukushima Daiichi accident resulted in the release of a novel form of radioactive Cs contamination into the environment, called Cs-bearing microparticles (CsMP). CsMPs constitute a substantial portion of the radioactive pollution near the nuclear power station and traveled beyond several hundred kilometers. Extensive characterization of the CsMPs revealed an amorphous silica matrix, along with Cs and other minor or trace elements such as Fe and Zn. This study explores the unclear generation mechanism of CsMPs by conducting experimental molten core concrete interactions (MCCI) as a source of Si and analyzing the resultant aerosols. The findings demonstrate that MCCI is in capacity to produce spherical submicronic and micronic particles, primarily composed of amorphous silica and incorporating elements akin to CsMPs. A humid atmosphere is found to favour an even closer chemical composition. Examination of the internal structure of the synthesized particles unveils numerous crystalline nanoinclusions, similar to those observed in CsMPs, possibly serving as nucleation sites for CsMP formation through the condensation of Si-rich vapors.
Alternating Graph-Regularized Neural Network for Adaptive Beamforming in 5G milli meter wave Massive MIMO Multicellular Networks
Authors: BOLLA SANDHYA , SINGH MANWINDER 
Published: December 2023

Abstract
The idea of ultra-dense networking (UDN) has been more and more popular in recent years as a potential way to increase energy efficiency (EE), spectral efficiency (SE) over tiny geographic areas. However, since channel state information (CSI) is necessary, deployment of large number of Access Points may not only significantly increase signaling burden but also take advantage of the pilot contamination effect. To overcome this issue, present an Alternating Graph-Regularized Neural Network for Adaptive Beamforming in 5G Milli Metre Wave Massive MIMO Multicellular Networks (AGNN-ABM-MIMO-MCN) is proposed. When each active base stations of evaluated orientations use huge multiple-input, multiple-output setups, here, beamforming is carried out with aid of preset set of configurations by appropriately producing higher directional beams on demand, can handle variety of traffic circumstances. Then, Beam forming approach depend on AGNN, which is trained to generate appropriate beam forming configuration. In general, AGNN classifier does not describe modifying optimization techniques to identify optimal parameters to beamforming configuration. Therefore, it is proposed to use Tyrannosaurus Optimization Algorithm (TOA) to optimize Alternating Graph-regularized Neural Network, which accurately generates the beamforming configuration. The proposed method is analyzed with different metrics likes Energy Efficiency, Spectral efficiency, Normalized Mean-Squared Error, Latency, Bit Error Rate, blocking probability and computational complexity. The simulation outcomes proves that the proposed technique attains provides 21.25%, 23.19% and 22.14% lower NMSE, 23.12%, 24.43% and 21.32% lower latency, 23.25%, 22.19% and 25.32% higher Spectral Efficiency while analyzed with existing techniques likes machine learning adaptive beamforming framework for 5G millimeter wave massive MIMO multi cellular networks (MLAB-MMWM-MIMO), deep learning-enabled relay node placement with selection framework in multicellular networks (DL-ERN-MCN) and deep learning framework for beam selection with power control in massive MIMO-millimeter-wave communications (DLF-BSPC-MIMO) respectively.
Anopheles’ development kinetic and longevity through different seasons in Burkina Faso
Authors: Djègbè Nicaise D. C. , Da Dari F. , Somé Bernard M. , Paré Lawata Inès G. , Cissé Fatoumata , Mamai Wadaka , Mouline Karine , Sawadogo Simon P. , Challenger Joseph D. , Churcher Thomas S. , Dabiré Roch K. 
Published: December 2023

Abstract

Background
Anopheles are ectothermic mosquitoes involved in numerous pathogens transmission. Their life-history traits are influenced by environmental factors such as temperature, relative humidity and photoperiodicity. Despite extensive investigations of these environmental conditions on vectors populations ecology, their impact on the different life stages of Anopheles at different seasons in the year remains little explored. This study reports the potential impact of these abiotic factors during different seasons on the immature stages and adults of Anopheles gambiae sensu lato (s.l).
Methods
Environmental conditions were simulated in the laboratory using incubators to mimic two important periods of the year in Burkina Faso: the peak of rainy season (August) and the onset of dry season (December). An. gambiae s.l. were reared in parallel under these environmental conditions. Then, the mosquito’s life history traits were evaluated, including egg hatching rate, pupation rate, larval development time, larva-to-pupae development time, adult emergence dynamics and longevity of An. gambiae s.l.
Results
A best egg hatching was recorded overall in conditions mimicking the onset of the dry season than at the peak of the rainy season. Larval development time and longevity of female An. gambiae s.l. were significantly longer at the onset of the dry season compared to which recorded at the peak of the rainy season. The adult emergence was spread over 48h and 96h under the peak of the rainy season and the onset of the dry season conditions respectively. This duration of 96h in the controlled conditions of the onset of the dry season was also observed in the semi-field conditions of the onset of the dry season.
Conclusion
The impact of temperature and relative humidity on immature stages and longevity of An. gambiae sl females differed under both conditions. These findings contribute to a better understanding of vector population dynamics throughout different seasons of the year and may facilitate tailoring control strategies.
On the constructive aspects of the topological approach to define bifurcation points in applied problems
Authors: Vavilov Sergey 
Published: December 2023

Abstract
The present study deals with the detection of bifurcation points in the problems that are not covered by the well-known conventional methods. The approach based on the non standard application of the topological degree of mapping notion is used to tackle the challenge. Universality of the involved mathematical tool to explore the wide scope of problems is demonstrated. Generalization of classical Hopf bifurcation Theorem on the case of functional differential equations is given.
Mathematics Subject Classification (2010). 34C23, 34C25, 39A28, 46N20, 47G20, 47H11.
Posterior parietal cortex oscillatory activity shapes persistent spatial memory impairments induced by soluble amyloid-β oligomers
Authors: Djebari Souhail , Contreras Ana , Jimenez-Herrera Raquel , Castro-Andres Victor , Iborra-Lazaro Guillermo , Sanchez-Campusano Raudel , Jimenez-Diaz Lydia , Navarro-Lopez Juan D. 
Published: December 2023

Abstract
Background: In early stages of Alzheimer's disease (AD), soluble amyloid-β (Aβ) is a key player disrupting neuronal activity and contributing to cognitive decline in advanced stages of the disease. While the hippocampus has been a central focus in prior research due to its susceptibility to Aβ-induced alterations, a comprehensive understanding of early AD pathology requires exploring interconnected brain regions. The posterior parietal cortex (PPC), collaborating closely with the hippocampus and involved in various memory processes, particularly spatial memory formation, holds particular significance. Investigating the PPC's function is imperative, as it may contribute to early AD characteristics and provide a more holistic perspective on disease progression.
Methods: To address this gap, we examined the relationship between neural oscillations and memory processes in the PPC and hippocampus in a mouse model of early hippocampal amyloidosis generated by intracerebroventricular oligomeric Aβ1-42 (oAβ1‑42) injections by performing in vivo oscillatory activity recordings from these regions in alert animals, together with spatial and habituation memory tests (Barnes maze and open field habituation).
Results: We found oAβ1-42 to induce significant alterations in PPC oscillatory activity emerging several days after hippocampal disturbances showed by aberrant long-term potentiation (LTP) and network activity. Additionally, non-significant alterations of stereotyped behaviors were found.
Conclusions: Our results indicate that these atypical patterns provide insight into the persistent spatial memory deficits observed in our amyloidosis model and the temporal progression of the deleterious effects caused by Aβ. Furthermore, they support the potential use of PPC oscillatory activity as a valuable tool for early detection and intervention in AD.
Primary Care utilisation in different patients’ profiles: findings from a Spanish population-based cohort with cardiovascular risk factors.
Authors: Malo Sara , Maldonado Lina , Rabanaque María José , Bengoa Irantzu , Castel-Feced Sara , Sánchez-Calavera María Antonia , Aguilar-Palacio Isabel 
Published: December 2023

Abstract

Background
Chronic patients with higher complexity are those with the greatest need for care and to whom, foreseeably, more health care should be provided, especially at the Primary Care level. This study aimed to identify profiles of patients with cardiovascular disease (CVD) risk factors, based on their sociodemographic and clinical characteristics, and to analyse how their complexity is related to their frequency of visits in Primary Care.
Methods
Observational longitudinal study conducted in the CArdiovascular Risk factors for HEalth Services research (CARhES) cohort. Individuals older than 15, resident in Aragón (Spain), with hypertension, type 2 diabetes mellitus (DM) and/or dyslipidaemia in 2017 were selected and followed-up until 2021. Secondary use of data from health system provided sociodemographic, clinical and healthcare services utilisation information. Cluster analyses were performed to identify patients’ profiles according to age, sex and morbidity burden. Characteristics and annual visits in Primary Care in the different profiles were described. Panel data models were applied to study the variability of the frequency of visits to both physicians and nurses in Primary Care in the profiles across different time points.
Results
In this population-based cohort of 436,601 individuals, different profiles were identified among those with hypertension, type 2 DM and/or dyslipidaemia. Profiles comprising the elderly and the women, up to the age of 80 years, showed the greatest morbidity burden. This higher complexity was associated with higher frequency of Primary Care visits, regardless of the patient’s socioeconomic level and depopulation level of his/her Basic Health Area.
Conclusions
Women and the elderly comprised the profiles with the greatest morbidity burden and the higher Primary Care attendance. Tailoring care and resources according to the complexity profile is essential to ensure that the patient receives the best possible care based on their needs.
Experiment and Smith, Watson and Topper model parameter to correlate fatigue life of rail steel
Authors: Tawfik M Nur , Padzi M M , Abdullah S , Harmanto Dani 
Published: December 2023

Abstract
This paper examines the correlation of fatigue life of R260 steel with using experiment and Smith,Watson and Topper model parameter. In order to correlation the fatigue life, three specimens have been used in testing for tensile strength in gaining properties of mechanical and eighteen specimens used for fatigue testing with using Servo-Pulser fatigue machine less 100 kN. In the meantime, the strain gauges were attaching to all specimens to measure the strain amplitude with one to one specimen during in run fatigue testing. All specimens were prepared in accordance standard E466-15 dimension and setting with R=-1 as fully reversed at room temperature with using constant loading amplitude and frequency of 10Hz. The main findings show that both experiment and SWT model parameter the best fit and a good agreement for correlation fatigue life.
Enrichment of a neutrophil-like monocyte transcriptional state
in glioblastoma myeloid suppressor cells
Authors: Wiencke John , Nissen Emily , Koestler Devin , Tamaki Stanley , Tamaki Courtney , Hansen Helen , Warrier Gayathri , Hadad Sara , McCoy Lucie , Rice Terri , Clarke Jennifer , Taylor Jennie , Salas Lucas , Christensen Brock , Kelsey Karl , Butler Rondi , Molinaro Annette 
Published: December 2023

Abstract
Glioblastomas (GBM) are lethal central nervous system cancers associated with tumor and systemic immunosuppression. Heterogeneous monocyte myeloid-derived suppressor cells (M-MDSC) are implicated in the altered immune response in GBM, but M-MDSC ontogeny and definitive phenotypic markers are unknown. Using single-cell transcriptomics, we revealed heterogeneity in blood M-MDSC from GBM subjects and an enrichment in a transcriptional state reminiscent of neutrophil-like monocytes (NeuMo), a newly described pathway of monopoiesis in mice. Human NeuMo gene expression and Neu-like deconvolution fraction algorithms were created to quantitate the enrichment of this transcriptional state in GBM subjects. NeuMo populations were also observed in M-MDSCs from lung and head and neck cancer subjects. Dexamethasone (DEX) and prednisone exposures increased the usage of Neu-like states, which were inversely associated with tumor purity and survival in isocitrate dehydrogenase wildtype (IDH WT) gliomas. Anti-inflammatory ZC3HA12/Regnase-1 transcripts were highly correlated with NeuMo expression in tumors and in blood M-MDSC from GBM, lung, and head and neck cancer subjects. Additional novel transcripts of immune-modulating proteins were identified. Collectively, these findings provide a framework for understanding the heterogeneity of M-MDSCs in GBM as cells with different clonal histories and may reshape approaches to study and therapeutically target these cells.
Evidence of the neuroprotective potential of NeuroEPO in preclinical studies and clinical trials: A systematic review
Authors: Fernández Gisselle , Pérez Carlos L , Román Olivia I , Fernández Tammy 
Published: December 2023

Abstract
Introduction
Neuroprotection is an essential purpose in the treatment of neurological disorders and several investigations have evaluated the usefulness of NeuroEPO in preclinical studies and clinical trials.
Objective
To evaluate the neuroprotective potential of NeuroEPO in neurological disorders.
Material and Methods
A systematic review of original articles in Spanish and English was conducted using PRISMA methodology, guided by the question: Is NeuroEPO a safe and effective therapeutic candidate for neuroprotection in neurological disorders? LILACS and PubMed databases, and Google Scholar search engine were used.
Results
With the strategy followed, a total of 20 articles were included for synthesis and review. Preclinical studies were conducted in biomodels of cerebral ischemia and Alzheimer's disease, while clinical trials were conducted in patients with neurodegenerative diseases. Safety, tolerability, and efficacy of NeuroEPO were found when administered intranasally with varying doses, frequency of administration, and duration of intervention. Neuroprotective effects were observed in all studies, and some molecular mechanisms mediating these effects were evidenced.
Conclusions
NeuroEPO has been reported to be a safe product, without hematopoietic effects, and well tolerated intranasally, which provides benefits in conditions of ischemic or degenerative brain damage by stimulating endogenous neuroprotection mechanisms with antioxidant, anti-inflammatory, and antiapoptotic action. The results support the continuity of studies aimed at enriching the scientific evidence of the potential of NeuroEPO for the treatment of neurological disorders.
WOSES: A Word Segmentation-Enhanced Framework for Chinese Spelling Check
Authors: Li Fangfang , Tang Dafu , Mao Xingliang , Shan Youran , Duan Junwen 
Published: December 2023

Abstract
Chinese spelling check (CSC) is a critical task in processing Chinese texts, impacting a variety of down-streaming tasks, such as information retrieval and search optimization applications. Traditional CSC methods have primarily focused on character-level phonetic and graphic information, often neglecting the crucial role of word segmentation. Our preliminary study reveals that typos frequently lead to incorrect word segmentation, and appropriately identifying word boundaries significantly enhances CSC accuracy. To address this gap, we introduce the Word Segmentation-Enhanced Speller (WOSES), a novel framework that uniquely incorporates word segmentation into the spelling correction process. WOSES is further developed into two distinct variants: the Hierarchical Word Speller (H-WSpeller) and the Word Speller (WSpeller). While both share a common architecture, they differ in their submodule interaction mechanisms, with H-WSpeller focusing on a layered approach and WSpeller employing parallel processing for enhanced efficiency. Our evaluation, conducted using benchmark datasets SIGHAN13, SIGHAN14, and SIGHAN15, demonstrates the effectiveness of our methods. On SIGHAN13 and SIGHAN15, WOSES variants outperform state-of-the-art models, and they achieve comparable results on SIGHAN14. Crucially, our analysis shows that incorporating word segmentation, whether derived from the original text or predicted, significantly boosts the CSC performance, underscoring the importance of this aspect in CSC tasks.
What are the perspectives of the circular economy in Kazakhstan?
Authors: Bralina Assiya 
Published: December 2023

Abstract
This research study aims to investigate the perspectives of the circular economy in Kazakhstan. The research question is based on the necessity to transform from a linear economy to a circular economy, which promotes sustainable production and consumption practices. The study examines the effects of the circular economy in the construction, plastic industry, and recycling sectors. The study draws on international examples of countries that have successfully implemented circular economy principles and the strategies they have used to achieve sustainability goals. In addition, the study presents the results of surveys and interviews conducted with a teacher, students, a civil engineer, and an ecologist, to assess their perspectives on the circular economy in Kazakhstan. The findings suggest that the circular economy has the potential to contribute to the country's sustainable development goals by reducing waste, conserving resources, and improving economic efficiency. The study concludes that there is a need for policymakers, industry leaders, and consumers to adopt circular economy principles and promote sustainable practices in Kazakhstan.
Time to Death and Its Predictors Among Patients With Chronic Kidney Disease on Hemodialysis at Dialysis Unit in Addis Ababa, Ethiopia: a Retrospective Cohort Study
Authors: Haile Azeb , Birhanu Adamu , Kolola Tufa , Etana Diriba , Hamza Lenja 
Published: December 2023

Abstract

Background
Over 10% of the world's population suffers from chronic kidney disease, which is the primary cause of death in the twenty-first century and it progresses over time. Furthermore, it places a heavy financial strain on those receiving hemodialysis. The time to death and its predictors among hemodialysis patients in Ethiopia, have not been extensively studied. As a result, improving survival rates and improving the prognosis of hemodialysis patients requires an understanding of time to death and the predictors that influence it.
Methods
Institution-based retrospective cohort study was carried out among 370 chronic kidney disease patients on hemodialysis from January 1st, 2017 to December 30th, 2022. Data were extracted from April 1st -May 20th, 2023, and each variable was coded and entered into Epi Data version 3.1 and then exported into STATA version 15 software for analysis. Kaplan-Meier and the log-rank test was done. Bivariable Cox-proportional regression was done, and a variables whose p-value < 0.25 and fulfilled proportional hazard assumption were entered into multivariable Cox-proportional regression. Finally, a variable whose p-value < 0.05 and Adjusted hazard ratio with its CI was declared statistically significant predictors for time to death.
Result
In this study the overall median survival time was 47 month (95% CI: 36.7, 56), with incidence rate of death 16.8/1000 person-month of observation (95% CI: 13.8–20.3). Age 64 and above (Adjusted Hazard Ration: 2.8; 95% CI: 1.67–4.98), Catheter vascular access (Adjusted Hazard Ration 3.47; 95% CI: 2.03–5.93), Cardiovascular disease (Adjusted Hazard Ration 1.88; 95% CI: 1.15–3.07), blood group B (Adjusted Hazard Ration 2.07; 95% CI: 1.17– 3.69) were significant predictors of time to death among hemodialysis patients.
Conclusion and recommendation:
The incidence rate of death was 16.8/1000 person-months of observation, and the median survival time was 47 months with an Interquartile range of 40. Cardiovascular disease, older adults, central venous catheters, and blood type B were significant predictors of time to death for hemodialysis patients. Therefore, in order to improve the survival of hemodialysis patients, health professionals should pay attention and work on those predictors.
Functional Characterization of a Novel Genetic Variant in Desmin (p.Glu353dup) Causing Myofibrillar Myopathy and Generation of Patient-Derived Induced Pluripotent Stem Cells for Disease Modeling
Authors: Castañeda Sheila , Amin Guadalupe , Zabalegui Federico , Freiberger Maria Ines , Belli Carolina , Renes Sol , Fernandez Agata , Rosa Alberto Luis , Cejas Claudia , Rueda José Manuel Pastor , Waisman Ariel , Ferreiro Diego U. , Sevlever Gustavo , Miriuka Santiago , Moro Lucia Natalia 
Published: December 2023

Abstract
Desmin (DES) is a major intermediate filament protein crucial for the structural integrity and function of striated muscles. Mutations in DES have been associated with various forms of myopathies collectively known as "desminopathy." In this study, we identified a novel heterozygous mutation (c.1059_1061dupGGA) in exon 6 of DES in an Argentine family with myofibrillar myopathy. This mutation leads to the duplication of a glutamic acid residue at position 353 (p.Glu353dup) of the DES protein. Clinical and myo-pathological evaluations of the index patient revealed characteristic features of myofibrillar myopathy, including muscle weakness, atrophy, and muscle fatty replacement. In-silico analyses of DES dimer assembly revealed alterations in the coiled-coil structure and a more stable complex conformation when one or both monomers contain the mutation. Moreover, DES and vimentin (VIM) protein aggregates were observed in the membrane of HEK cells only when DES_dupGGA was overexpressed and not when wild-type DES was overexpressed. Both results suggest that p.Glu353dup mutation impairs the formation of a normal DES network after affecting its polymerization. To further investigate the disease mechanisms, patient-derived induced pluripotent stem cells (iPSCs) were generated from the index patient, his siblings, and a CRISPR-edited DES_dupGGA homozygous variant derived from the index patient iPSCs. Characterization of these iPSCs demonstrated normal pluripotency, karyotype and the ability to differentiate into cell types representing the three germ layers. In summary, our study contributes to the understanding of the molecular basis of myofibrillar myopathy caused by a novel DES mutation. The combination of clinical, molecular, and iPSC-based approaches offers insights into the pathogenesis of desminopathies and opens new possibilities for therapeutic development and precision medicine strategies.