bluuebunny/crossref_metadata_2025_split huggingface dataset:
Meiotic and mitotic aneuploidies drive arrest of in vitro fertilized human preimplantation embryos
Authors: McCoy Rajiv C. , Summers Michael C. , McCollin Abeo , Ottolini Christian S. , Ahuja Kamal , Handyside Alan H. 
Published: October 2023

Abstract
Background
The high incidence of aneuploidy in early human development, arising either from errors in meiosis or postzygotic mitosis, is the primary cause of pregnancy loss, miscarriage, and stillbirth following natural conception as well as in vitro fertilization (IVF). Preimplantation genetic testing for aneuploidy (PGT-A) has confirmed the prevalence of meiotic and mitotic aneuploidies among blastocyst-stage IVF embryos that are candidates for transfer. However, only about half of normally fertilized embryos develop to the blastocyst stage in vitro, while the others arrest at cleavage to late morula or early blastocyst stages.

Methods
To achieve a more complete view of the impacts of aneuploidy, we applied low-coverage sequencing-based PGT-A to a large series (n = 909) of arrested embryos and trophectoderm biopsies. We then correlated observed aneuploidies with abnormalities of the first two cleavage divisions using time-lapse imaging (n = 843).

Results
The combined incidence of meiotic and mitotic aneuploidies was strongly associated with blastocyst morphological grading, with the proportion ranging from 20 to 90% for the highest to lowest grades, respectively. In contrast, the incidence of aneuploidy among arrested embryos was exceptionally high (94%), dominated by mitotic aneuploidies affecting multiple chromosomes. In turn, these mitotic aneuploidies were strongly associated with abnormal cleavage divisions, such that 51% of abnormally dividing embryos possessed mitotic aneuploidies compared to only 23% of normally dividing embryos.

Conclusions
We conclude that the combination of meiotic and mitotic aneuploidies drives arrest of human embryos in vitro, as development increasingly relies on embryonic gene expression at the blastocyst stage.
Targeted sequencing of selected functional genes in patients with wild-type transthyretin amyloidosis
Authors: Moreno-Gázquez Inmaculada , Pérez-Palacios Raquel , Abengochea-Quílez Lucia , Lahuerta Pueyo Carmen , Roteta Unceta Barrenechea Ana , Andrés Gracia Alejandro , Aibar Arregui Miguel Angel , Menao Guillén Sebastián 
Published: October 2023

Abstract
Objective
Wild-type transthyretin (ATTRwt) amyloidosis is caused by the misfolding and deposition of the transthyretin protein (TTR) in the absence of mutations in the TTR gene. Studies regarding the variant form of ATTR amyloidosis (ATTRv) suggest that the presence of single-nucleotide polymorphisms (SNP) in genes other than the TTR, may influence the development of the disease. However, other genetic factors involved in the aetiopathogenesis of ATTRwt are currently unknown. This work investigates the presence of sequence variants in genes selected for their possible impact on ATTRwt amyloidosis. To do so, targeted sequencing of 84 protein-coding genes was performed in a cohort of 27 patients diagnosed with ATTRwt.

Results
After applying quality and frequency filtering criteria, 72 rare or novel genetic variants were found. Subsequent classification according to the ACMG-AMP criteria resulted in 17 variants classified as of uncertain significance in 14 different genes. To our knowledge, this is the first report associating novel gene variants with ATTRwt amyloidosis. In conclusion, this study provides potential insights into the aetiopathogenesis of ATTRwt amyloidosis by linking novel coding-gene variants with the occurrence of the disease.
RNAseq based variant dataset in a black poplar association panel
Authors: Rogier Odile , Chateigner Aurélien , Lesage-Descauses Marie-Claude , Mandin Claire , Brunaud Véronique , Caius José , Soubigou-Taconnat Ludivine , Almeida-Falcon José , Bastien Catherine , Benoit Vanina , Bodineau Guillaume , Boizot Nathalie , Buret Corinne , Charpentier Jean-Paul , Déjardin Annabelle , Delaunay Alain , Fichot Régis , Laine Prade Véronique , Laurans Françoise , Le Jan Isabelle , Legac Anne-Laure , Maury Stéphane , Gebreselassie Mesfin Nigussie , Poursat Patrick , Ridel Céline , Sanchez Léopoldo , Jorge Véronique , Segura Vincent 
Published: October 2023

Abstract
Objective
Black poplar (Populus nigra L.) is a species native to Eurasia with a wide distribution area. It is an ecologically important species from riparian ecosystems, that is used as a parent of interspecific (P. deltoides x P. nigra) cultivated poplar hybrids. Variant detection from transcriptomics sequences of 241 P. nigra individuals, sampled in natural populations from 11 river catchments (in four European countries) is described here. These data provide new valuable resources for population structure analysis, population genomics and genome-wide association studies.

Data description
We generated transcriptomics data from a mixture of young differentiating xylem and cambium tissues of 480 Populus nigra trees sampled in a common garden experiment located at Orléans (France), corresponding to 241 genotypes (2 clonal replicates per genotype, at maximum) by using RNAseq technology. We launched on the resulting sequences an in-silico pipeline that allowed us to obtain 878,957 biallelic polymorphisms without missing data. More than 99% of these positions are annotated and 98.8% are located on the 19 chromosomes of the P. trichocarpa reference genome. The raw RNAseq sequences are available at the NCBI Sequence Read Archive SPR188754 and the variant dataset at the Recherche Data Gouv repository under https://doi.org/10.15454/8DQXK5.
Nerve entrapment syndromes of the lower limb: a pictorial review
Authors: Kumar Shanesh , Mangi Mohammad Danish , Zadow Steven , Lim WanYin 
Published: October 2023

AbstractPeripheral nerves of the lower limb may become entrapped at various points during their anatomical course. While clinical assessment and nerve conduction studies are the mainstay of diagnosis, there are multiple imaging options, specifically ultrasound and magnetic resonance imaging (MRI), which offer important information about the potential cause and location of nerve entrapment that can help guide management. This article overviews the anatomical course of various lower limb nerves, including the sciatic nerve, tibial nerve, medial plantar nerve, lateral plantar nerve, digital nerves, common peroneal nerve, deep peroneal nerve, superficial peroneal nerve, sural nerve, obturator nerve, lateral femoral cutaneous nerve and femoral nerve. The common locations and causes of entrapments for each of the nerves are explained. Common ultrasound and MRI findings of nerve entrapments, direct and indirect, are described, and various examples of the more commonly observed cases of lower limb nerve entrapments are provided.Critical relevance statement This article describes the common sites of lower limb nerve entrapments and their imaging features. It equips radiologists with the knowledge needed to approach the assessment of entrapment neuropathies, which are a critically important cause of pain and functional impairment.Key points• Ultrasound and MRI are commonly used to investigate nerve entrapment syndromes.• Ultrasound findings include nerve hypo-echogenicity, calibre changes and the sonographic Tinel’s sign.• MRI findings include increased nerve T2 signal, muscle atrophy and denervation oedema.• Imaging can reveal causative lesions, including scarring, masses and anatomical variants.
Graphical Abstract
Diagnostic error and bias in the department of radiology: a pictorial essay
Authors: Zhang Li , Wen Xin , Li Jian-Wei , Jiang Xu , Yang Xian-Feng , Li Meng 
Published: October 2023

AbstractDiagnostic imaging is an essential and indispensable part of medical diagnosis and treatment, and diagnostic errors or biases are also common in the department of radiology, sometimes even having a severe impact on the diagnosis and treatment of patients. There are various reasons for diagnostic errors or biases in imaging. In this review, we analyze and summarize the causes of diagnostic imaging errors and biases based on practical cases. We propose solutions for dealing with diagnostic imaging errors and reducing their probability, thereby helping radiologists in their clinical practice.Critical relevance statement Diagnostic errors or bias contribute to most medical errors in the radiology department. Solutions for dealing with diagnostic imaging errors are pivotal for patients.Key points• Diagnostic errors or bias contribute to most medical errors in radiology department.• Solutions for dealing with diagnostic imaging errors are pivotal for patients.• This review summarizes the causes of diagnostic errors and offers solutions to them.
Graphical Abstract
Eugenol isolated from supercritical fluid extract of Ocimum sanctum: a potent inhibitor of DENV-2
Authors: Kaushik Sulochana , Kaushik Samander , Dar Lalit , Yadav Jaya Parkash 
Published: October 2023

AbstractDengue is one of the fairly prevalent viral infections at the world level transmitted through mosquitoes (Aedes aegypti and Aedes albopictus). Due to various environmental factors, dengue cases surged rapidly at the global level in recent decades, with 193245 cases in 2021 and an increment of 110473 cases in 2022. There is no antidote available against dengue and other flaviviruses. In the absence of a dengue vaccine or specific antiviral, medicinal plants or their products can be the only choice for its effective management. Ocimum sanctum is known as ‘‘The Incomparable One,’’ ‘‘Mother Medicine of Nature’’ and ‘‘Queen of Herbs’’ in Ayurveda, and is considered an "elixir of life" supreme in both healthcare and spiritual terms. In present study eugenol was isolated in O.sanctum. Eugenol (1-hydroxy-2-methoxy-4-allylbenzene) has been substantially responsible for its therapeutic potential. High-performance thin-layer chromatography, Fourier transform infrared spectroscopy and ultraviolet–visible spectroscopy were applied to identify the compound. The Rf value of isolated compound was same in the chromatogram (0.69 + 0.05) with compare to standard. The safe dose of plant and eugenol were found as < 31.25 μg/ml and < 15.62 µg/ml. The anti-dengue activity was assessed in C6/36 cell lines, their effect was determined through Quantitative PCR. The NMR of the isolated eugenol showed similar properties as the commercial marker compound. The eugenol and SFE extract of O. sanctum showed the inhibition of 99.28% and completely against Dengue-2, respectively. Docking study exposed that the interaction of eugenol with NS1 and NS5 dengue protein showed the binding energy as − 5.33 and − 5.75 kcal/mol, respectively. The eugenol from the O. sanctum plant has the potential to be a good source of future treatment medications for dengue illness, as well as a valuable tool in its successful management
Rolling front landscape breeding
Authors: Lstibůrek Milan , García‐Gil María Rosario , Steffenrem Arne 
Published: October 2023

Key messageForest tree breeding must undergo significant revisions to adapt to the evolving challenges posed by climate change. Addressing the shifts in environmental conditions requires a comprehensive multidisciplinary approach that includes theoretical work and practical application. Specifically, there is a need to focus on developing new breeding strategies that are theoretically sound and practically feasible, considering the economic constraints of actual tree breeding programs. We present a novel concept utilizing genetic evaluation of multiple traits in forest stands of successive ages across wide ecological ranges. Incorporating genomics allows for detailed genetic evaluation, making use of high-density SNP markers and sophisticated algorithms like GBLUP for genetic parameter estimates. High-throughput phenotyping is conducted using drone-borne lidar technology to capture tree height and survival data across various forest stands. Assisted migration is considered to strategically position genotypes across predicted environmental climatic gradients, thereby accommodating the dynamic nature of ecological shifts. Mathematical optimization acts as an essential component for logistics, guiding the spatial allocation and timely substitution of genotypes to ensure a continually adaptive breeding program. The concept replaces distinct breeding cycles with continuous evaluation and selection, enhancing the rate of genetic response over time.
Virtualized intelligent genetic load balancer for federated hybrid cloud environment using deep belief network classifier
Authors: Rajkumar S. , Katiravan Jeevaa 
Published: October 2023

AbstractLoad balancing is major issue in federated cloud environment. Various services can be offered by different cloud service providers. As per current working environment cloud computing is used in major applications such as education, online shopping, multimedia services, etc. Dynamic load balancing is required to handle the resources. Federated cloud has various services offering system with computing resources, resource pooling, internet access services and storage. Intelligent Genetic algorithm is proposed to provide efficient load balancing service in hybrid cloud environment. Virtualized Intelligent Genetic Load Balancer algorithm consists of load balancer and resource provisioning system to allocate the resources. Enhanced Load Balancer is used to preserve the load and minimize the span time based on resource provisioning method. In this work we analyse automated virtual machine services by using runtime resource provision. Here we use enhanced load balancer to measure the performance using virtual machine placements, resource utilization and automated quality requirements. We design a deep belief network based on requirements and measure the accuracy using TensorFlow. The simulation results test the accuracy and compare the results. Virtualized Intelligent Genetic Load Balancer system is achieving the accuracy of 95% based on overall capacity requirements. We compare Virtualized Intelligent Genetic Load Balancer system performance with existing simulations results and compared the results.
Impact of online self-assessing metacognitive strategies accompanied with written languaging on cultivating Iranian IELTS candidates’ listening comprehension
Authors: Rezai Afsheen , Namaziandost Ehsan , Hosseini Gholam Hossein 
Published: October 2023

AbstractThe use of self-assessing metacognitive strategies has been shown to enhance English as a foreign language (EFL) learners’ achievement in face-to-face classes. However, its impact on EFL learners’ achievement in online classes, which have become more prevalent due to the development of new technologies has remained largely unexplored. This study aimed to fill this gap by investigating the effects of online self-assessing metacognitive strategies (OSMLS) accompanied with written languaging on IELTS candidates’ listening comprehension (LC) in Iran. A total of 67 IELTS candidates were selected through a convenience sampling method and were homogenized using an IELTS listening test. The participants (n = 44) whose scores were around the mean score were randomly assigned to either a CG (n = 22) or an EC (n = 22). EG received online OSMLS training while the CG did not. Both groups took a pre-test, a post-test, and a delayed post-test of LC. A one-way ANCOVA was used to analyze the collected data. Results indicated that the experimental group outperformed CG on both the post-test and the delayed post-test of LC. The findings suggest that online OSMLS can improve EFL learners’ LC skills and have implications for EFL instruction in online settings.
Mapping of food environment policies in Zambia: a qualitative document analysis
Authors: Mukanu Mulenga Mary , Thow Anne Marie , Delobelle Peter , Mchiza Zandile June-Rose 
Published: October 2023

Abstract
Background
The food environment in which people exercise food choices significantly impacts their dietary patterns. Policies that limit the availability, affordability, and access to unhealthy food while increasing that of healthier alternatives help build healthy food environments, which are required to address the double burden of malnutrition. This study aimed to assess the availability of food environment policies in Zambia.

Method
We applied a two-step qualitative document analysis to identify policy content relating to healthy food environments from global and Zambia-specific nutrition-related policy documents. In the first step, global policy documents were analyzed to develop a reference point for globally recommended policies for healthy food environments. In the second step, Zambia’s nutrition-related policies were analyzed to identify content relating to healthy food environments. The identified policy content was then mapped against the global reference point to identify food environment policy gaps.

Results
Our analysis of global policy recommendations identified five broad categories of policy provisions: information and education based; regulatory and legislative tools; strategies to promote production and access to healthy food production; social protection-based strategies and guiding principles for governments relating to multisectoral collaboration and governance. Our analysis found that Zambian Government policy documents in the health, agriculture, education, and national planning and development sectors have policy provisions for healthy food environments. While these policy provisions generally covered all five reference categories, we found policy gaps in the regulatory and legislative tools category relative to global recommendations.

Conclusion
Zambia’s food environment policy landscape must include globally recommended regulatory and legislative policy measures like restricting the marketing of unhealthy foods and non-alcoholic beverages to children. Nutrition policy reforms are required to facilitate the introduction of regulatory and legislative policy measures that effectively address the double burden of malnutrition in Zambia.
Model-based assessment of interbasin groundwater flow in data scarce areas: the Gallocanta Lake endorheic watershed (Spain)
Authors: Arce Manuel , Orellana-Macías Jose Maria , Causapé Jesus , Ramajo Javier , Galè Carlos , Rossetto Rudy 
Published: October 2023

AbstractAquifer systems, because of the presence of frequently complex geological structures, may extend beyond watersheds limits. Interbasin groundwater flow is often identified among watersheds. Because geological systems are complex ones, modelling tools are needed for its estimation. In this paper, we quantify the outflows from the endhoreic Gallocanta watershed (Spain) by means of a MODFLOW numerical model in order to assess the robustness of the boundaries of the Gallocanta Groundwater Body. Our results show the Gallocanta watershed is hydrogeologically connected with the adjoining Piedra-Ortiz and Jiloca watersheds (discharging annually in these basins about 4 and 1 Mm3 respectively). Furthermore, we hypothesized the presence of geological features altering the groundwater flow. Additional simulations were run to analyse the changes in the water budget in the cases of: i) groundwater pumping no longer allowed by the authorities, and ii) a potential drought scenario. In the first case, the results forecast an increase in discharge to the Piedra-Ortiz and Jiloca watersheds, while in the second case a diminution of the outflows to the two neighboring basins is foreseen.We then propose a larger and unique groundwater body, spanning from the Caminreal Springs on the east and the Piedra-Ortiz basin on the west, including a moving groundwater divide internal to the Gallocanta watershed. Monitoring the baseflow of the Piedra-Ortiz river and of the Caminreal Springs will allow to get information on the evolution of the groundwater resource availability in the Gallocanta watershed. Our results stress the importance of conjunctively using data and traditional geologic knowledge (i.e. surface geology maps) along with numerical modelling analyses. This holds especially true in areas, such those of hard-rock aquifers, where scarce hydrogeologic data are available, to test conceptual models, to derive and to infer information on water budgets and on the presence of relevant structural features driving the groundwater flow. This approach may lead to informed decision-making on groundwater body boundaries definition for the application of relevant groundwater management regulations.
Effects of covid-19 on the livelihoods of rural women in Ethiopia
Authors: Adisalem Samuel Tadesse , Asegie Asrat Mulat 
Published: October 2023

Abstract
Background
The COVID-19 pandemic has had an impact on people’s lives and economic activities. Women are expected to bear the impact of the impact because they are over-represented in affected sectors on the front lines of the pandemic’s response. However, no empirical evidence exists to support the effect of COVID-19 on women’s economic activities in the Ethiopian context.

Methods
This study investigated effects of COVID-19 on economic activities of rural women in Ethiopia. Thereby, a multistage sampling procedure was employed to randomly draw 263 rural women as study participants. Data were collected through interview schedules and key informant interviews. Finally, the data were analyzed qualitatively and quantitatively. A binary logistic regression model is used to examine factors determining the effect of COVID-19 on economic activities of women.

Results
According to the findings, the most affected economic activities were remittances (94.28%), small business trade (94.06%), livestock and livestock product trading (91.30%), daily labor wages (84.82%), handcraft (72.73%), and crop production (61.32%). The logit regression result shows that irrigation use reduced the impact of the pandemic, whereas relying on remittances, market distance, and being a female-headed household exacerbated the impact of the pandemic on the economic activities of rural women.

Conclusion
The pandemic had significant impact on rural women’s economic activities. Therefore, governmental and nongovernmental organizations should support rural women’s income-generating activities by providing revolving funds with training. Using remittances for income-generating activities would also improve the income of rural women.