bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interaction between risk SNPs of Developmental Dyslexia and Parental Education on Reading Ability: Evidence for Differential-Susceptibility Theory
Authors: Yang Qing , Cheng Chen , Wang Zhengjun , Belsky Jay , Zhao Jingjing 
Published: May 2023

Abstract
While genetic and environmental factors have been shown as predictors of children’s reading ability, the interaction effects of identified genetic risk susceptibility and specified environmental for reading ability have rarely been investigated. The current study assessed potential gene-environmental (G×E) interactions on reading ability in 1477 school-aged children. The gene-environment interactions on character recognition were investigated by an exploration analysis between the risk single-nucleotide polymorphisms (SNPs) which were discovered by previous genome-wide association studies of developmental dyslexia (DD), and parental education (PE). The re-parameterized regression analysis suggested that this G×E interaction conformed to the strong differential-susceptibility model. Results showed that rs281238 exhibits a significant interaction with PE on character recognition. Children with “T” genotype profited from high PE, whereas they performed worse in low PE environment, but “CC” genotype children were not malleable in different PE environments.
Development of Nursing Handoff Competency Scale: a Methodological Study
Authors: DO Jiyoung , SHIN Sujin 
Published: May 2023

Abstract

Background
Nursing handoff is an important nursing task that ensures nursing care continuity, quality and patient safety. Nursing handoff competency refers to the ability of the nurse performing the handoff to select and interpret necessary information for patient care and to relay it efficiently to the nurse accepting the handoff. This study aimed to develop a scale to measure nursing handoff competency and verify its validity and reliability.
Methods
This study adopted a methodological design. A methodological approach was conducted in three phases: (1) scale development through a nursing handoff-related literature review and interviews; (2) construct validity, criterion-related validity, convergent and discrimination validity, and reliability evaluation of the developed scale; (3) standard setting of the scale. Data were collected from 496 clinical nurses currently working in hospital wards, intensive care units, and emergency rooms, and who independently perform a handoff. The validity and reliability of the scale were verified using maximum likelihood exploratory factor analysis with promax factor rotation, confirmatory factor analysis with maximum likelihood estimation, Pearson correlation, Cronbach’s alpha, and Spearman-Brown coefficient. The standard setting of the scale was conducted using the extended Angoff method was used for standard scale setting.
Results
The Nursing Handoff Competency Scale consisted of 25 items of the four factors: “knowledge on handoff methods”, “identification of patient information,” “judgment and transfer of nursing situation,” and “formation of supportive relationships.” The fitness of the scale revealed good results in confirmatory factor analysis. Construct validity, criterion-related validity, convergent validity, and discrimination validities were verified. The reliability test showed that Cronbach’s α of the whole tool was .912 and the split-half reliability was .846. The cut-off score for satisfied/unsatisfied was 72.
Conclusions
The developed scale can evaluate the nurse’s handoff competencies. Additionally, the measurement results can be used to compose the contents of the education program.
Diurnal to Seasonal Meteorological Cycles in an Equatorial Andean Gradient
Authors: Silva Luis , Célleri Rolando , Córdova Mario 
Published: May 2023

Abstract
The climate of the equatorial mountains of the Andes presents a pronounced spatiotemporal variability, which, coupled with limited meteorological monitoring, hampers our understanding of the regional and local atmospheric processes that govern this variability. To deepen our understanding of the climate of this region, we analyzed diurnal to seasonal meteorological patterns of the main meteorological variables: precipitation, air temperature, relative humidity, incident solar radiation, and wind speed and direction; We used a unique 10-year high-resolution dataset from March 2013 to March 2023 along an altitudinal gradient, located in southern Ecuador. Our analyses reveal a trimodal regime of precipitation; the wet seasons are associated to convective processes influenced by the Intertropical Convergence Zone (ITCZ) position over the study area around the equinoxes, and the less humid season is due to the intensification of the Walker circulation that produces subsidence over the study area. The relative humidity shows distinct daily and seasonal variation; reaching minimum values around noon, when air temperature is the highest and an annual minimum on November. Furthermore, incident solar radiation reaches its maximum values around the equinoxes when sunlight is almost perpendicular, which produces greater heating on the surface and hence a more humid atmosphere. The meridional displacement of the ITCZ around the year influences the climate, increasing humidity from March to May and wind speed from April to July. Our research reveals significant differences between diurnal and seasonal meteorological cycles, highlighting the importance of altitude, topography, and wind patterns in the climate dynamics of the equatorial Andes.
Experimental Study of VLE Properties of n-Tetradecane in the Supercritical Binary Solvent (0.367 Propane/0.633 n- Butane)
Authors: Khairutdinov Vener F. , Khabriev Ilnar Sh. , Akhmetzyanov Talgat R. , Yarullin Lenar Yu. , Gabitov Farizan R. , Abdulagatov Ilmutdin M. 
Published: May 2023

Abstract

A high-temperature and high-pressure optical cell VLE apparatus has been applied to measure phase equilibrium properties of n-tetradecane in the supercritical binary solvent (0.367propane + 0.633 n-butane mass fraction) at temperatures of 413.15 K, 433.15 K, and 453.15 K between of pressures (0.9 and 6.6) MPa. The combined expanded uncertainty of the temperature, pressure, and concentration measurements at 0.95 confidence level with a coverage factor of k = 2 is estimated to be 0.15 K, 0.0022, and 0.035, respectively. The critical parameters (TC, PC, ) were determined based on the measured isothermal phase equilibrium data of the ternary system n-tetradecane + propane/n-butane. It is shown that the critical temperature and pressure of the n-tetradecane + propane/n-butane system increases with concentration of n-tetradecane increases.
A novel endoplasmic reticulum stress-related lncRNA signature for prognosis prediction and immune response evaluation in Stomach adenocarcinoma
Authors: Song Zhaoxiang , Su Mengge , Li Xiangyu , Xie Jinlin , Han Fei , Yao Jianning 
Published: May 2023

Abstract
Background:
Stomach adenocarcinoma (STAD) is a significant contributor to cancer-related mortality worldwide. Although previous research has identified endoplasmic reticulum stress (ERS) as a regulator of various tumor-promoting properties of cancer cells, the impact of ERS-related long non-coding RNAs (lncRNAs) on STAD prognosis has not yet been investigated. Therefore, our study aims to develop and validate an ERS-related lncRNA signature that can accurately predict the prognosis of STAD patients.
Methods:
We collected RNA expression profiles and clinical data of STAD patients from The Cancer Genome Atlas (TCGA) and identified ERS-related genes from the Molecular Signature Database (MSigDB). Co-expression analysis enabled us to identify ERS-related lncRNAs, and we applied univariate Cox, least absolute shrinkage, and selection operator (LASSO), and multivariate Cox regression analyses to construct a predictive signature comprising of 9 ERS-related lncRNAs. We assessed the prognostic accuracy of our signature using Kaplan-Meier survival analysis and performed tumor mutational burden (TMB) and tumor immune microenvironment (TIME) analyses. Enrichment analysis was used to investigate the functions and biological processes of the signature, and we identified two distinct STAD patient subgroups through consensus clustering. Finally, we performed drug sensitivity analysis and immunologic efficacy analysis to explore further insights.
Results:
The 9 ERS related-lncRNAs signature demonstrated satisfactory predictive performance as an independent prognostic marker and was significantly associated with STAD clinicopathological characteristics. Furthermore, patients in the high-risk group displayed a worse STAD prognosis than those in the low-risk group. Notably, gene set enrichment analysis (GSEA) revealed significant enrichment of extracellular matrix pathways in the high-risk group, indicating their involvement in STAD progression. Additionally, the high-risk group exhibited significantly lower TMB expression levels than the low-risk group. Consensus clustering revealed two distinct STAD patient subgroups, with Cluster 1 exhibiting higher immune cell infiltration and more active immune functions. Drug sensitivity analysis suggested that the low-risk group was more responsive to oxaliplatin, epirubicinl, and other drugs.
Conclusion:
Our study highlights the crucial regulatory roles of ERS-related lncRNAs in STAD, with significant clinical implications. The 9-lncRNA signature we have constructed represents a reliable prognostic indicator that has the potential to inform more personalized treatment decisions for STAD patients. These findings shed new light on the pathogenesis of STAD and its underlying molecular mechanisms, offering opportunities for novel therapeutic strategies to be developed for STAD patients.
Research on Nonlinear Invariants of a Power Function over a Binary Field
Authors: Wang Zebin , Jin Chenhui , Cui Ting 
Published: May 2023

Abstract

The nonlinear invariant attack is a new and powerful cryptanalysis for lightweight block ciphers. The core step of such cryptanalysis is to find the nonlinear invariant(s) of its cascade round. Generally, for an n-bit width function, we need time complexity O(23n) to find the nonlinear invariants.
In this paper, we take consider of the power function xm over the finite field GF(2n), which is one of the most important cryptographic functions of last decades. Firstly, we study the nonlinear invariants of xm, we provide mathematical toolboxes named the～m periodical point and the ～m equivalence class. Secondly, we present an algorithm to get all the nonlinear invariants of xm over GF(2n) at the price of time complexity O(2n). Moreover, if the growth of n exceeds our tolerance above, we also provide a method to get parts of nonlinear invariants of xm. Finally, we take consider of the nonlinear invariants of x3 over GF(2129) as application, which is used in the block cipher MiMC and seems impractical by existing methods. Our results allow us to find several (but not all) nontrivial nonlinear invariants of such function for the first time.
Study of High Resolution Helicopter Cable Obstacle Avoidance LIDAR
Authors: Zhang Xiangwei , Ma Qun , Chen Yujiao , Gong Changmei , Liu Baoyuan , Han Feng , Yu Xun 
Published: May 2023

Abstract
A high-resolution helicopter cable obstacle avoidance LIDAR is designed by the laser parallel scanning method, combined with the 3×2 rectangular detector array, which greatly reduces the conventional laser radar in the detection of the cable blind area. By simulating the actual detection state of helicopter through the UAV hanging-off test, the cable at 150m is clearly detected at the data refresh rate of 2Hz. Through the range detection test, it is verified that the detection distance of the system for φ20 cable is more than 283m.
Relaxed AVL trees with extra nodes
Authors: ZEGOUR D.E 
Published: May 2023

Abstract
A relaxation of AVL tree is proposed with no additional space. The original implementation of AVL trees uses two additional bits per node to control the tree balance and only three configurations are used to represent the possible balance factors. We exploit the fourth configuration to add extra nodes to the AVL tree. These nodes do not alter the rebalancing process. As a result, the new data structure, called the AVL-2 tree, is adjustable in height, making search, insert and delete operations faster or slower, depending on application needs. The height is at most equal to 2.88 lg2(N) where N is the tree size and lg2 is the base 2 logarithm. Unlike other data structures, an unsuccessful search can stop on an internal node and almost 80% of the data can be deleted with at most two pointer changes.
Sublethal co-exposure of zinc and iron mitigates paraquat herbicide toxicity affecting the physiological responses of Egyptian cotton leafworm Spodoptera littoralis
Authors: Shaik Haq Abdul , Mishra Archana 
Published: May 2023

Abstract
Metals and herbicides present in the environment affect the vital functions of insect pests, including their development, tolerance, resistance, and survival. Such metal-herbicide interactions will have inevitable, but complicated effects on insects, which remains poorly understood. Here, the interaction of zinc (Zn), iron (Fe), and paraquat (PQ) at subleathal dose on the physiological responses of the Egyptian cotton leafworm Spodoptera littoralis was examined. Co-exposure of Zn/ Fe enhanced the survival of leafworms (10 to 20 mg 100%; 40 mg 85%) compared to separate exposure. Low exposure to Zn/Fe/PQ had the lowest toxicity, possibly because metal complexes have efficient chelating activity, allowing the leafworm to survive longer. Low exposure to Zn, Fe, and Zn/Fe increased food intake and larval weight significantly, and affected frass production. PQ alone hindered feeding, enhanced frass production, and reduced larval weight. In contrast, Zn/Fe and PQ/Zn alleviated toxic effects. Interestingly, Zn/Fe/PQ combined increased larval and pupal weight in surviving individuals. Larval mortality was highest with high doses of PQ (40 mg) and in metal co-exposure diets, with no larvae reaching the pupal stage. Zn/Fe appeared to be essential for the ecdysis of larvae to pupae, with lower larval mortality and extended pupal ecdysis (% days). This study demonstrated the realistic conditions of Zn and Fe interactions with PQ, providing important information regarding physiological toxicity and pest management. Tests on haemolymph-bacteria of S. littoralis using disc diffusion method revealed significant differences with Zn, Zn/Fe, Zn/Fe/PQ, stating their interaction might play a crucial immunomodulatory role in S. littoralis.
Why and how do parents secretly abandon their children? The psychosocial burden they went through: Qualitative case study in Gondar City, Ethiopia
Authors: Yesuf Yassin Mohammed , Bewketu Adonawit Ayalew , Ahmed Habib Seid 
Published: May 2023

Abstract

Purpose
Globally, studies on parents who secretly abandoned their children scarce and were unavailable in Ethiopia. This study, therefore, explored the lived experiences of mothers/fathers who secretly abandoned their children.
Methods
Qualitative case study design was employed. Semi-structured interviews were conducted with purposefully selected parents in Gondar city. Thematic content analysis was employed to analyse the data.
Results
In the present study, three core themes emerged: parents’ situation before delivery, parents’ child abandoning experiences, and parents’ psychosocial conditions after abandonment. Contextual factors before and after the child is born (e.g. challenging life situation, unwanted pregnancy, rape/abuse, etc.) played important roles in later child abandonment. Child abandonment is a process that includes contemplation, preparations and taking actions. Economic hardships, exacerbated by sociocultural factors pushed parents to abandon their children. Psychological sufferings begin before abandonment and continued after the abandonment.
Conclusions
Child abandonment, as one form of avoiding parental responsibilities, is not a onetime act and sociocultural factors exacerbated the economic push factors. Therefore, it is recommended that extensive participatory studies, psychosocial support for vulnerable parents, and awareness creation campaigns need to be in place to mitigate child abandonment.
Performance-based active learning for skewed data with nonparametric logistic regression
Authors: Lee Wonjae , Seo Kangwon 
Published: May 2023

Abstract
Real-world data often exhibit skewed distribution with a long tail, where certain target values have significantly fewer observations rather than preserving an ideal uniform distribution over each category, which substantially affects model performance for classification problems. Furthermore, parametric logistic regression provides a fundamental classification model with ease of interpretation; however, it is doubtful that the logit function of classification is truly linear in covariates. This research proposes the performance-based active learning (PbAL) scheme with nonparametric logistic regression to address the imbalance problem considering the nonlinear decision boundary. The PbAL is applied to choose the most informative samples in a sequential manner with an imbalanced dataset by directly evaluating a performance metric on a pool set. The nonparametric logistic regression model with smoothing splines is used to achieve a flexible classification boundary. The experiments show that PbAL outperforms traditional active learning approaches based on D-optimality and A-optimality. It is also shown that the proposed method provides superior outcomes compared to the other resampling techniques used for imbalanced classification problems, such as Tomek Link and SMOTE, even with a smaller sample size. This result suggests that PbAL effectively mitigates the bias, which severely influences the model performance with small amounts of initial training data.
Re-evaluation of the effects of precipitation amount and temperature on precipitation δ18O at the monthly and interannual timescales
Authors: Li Yunxia , Guang Kaiyue , Tian Lijun , Tian Yiping , Li Jiayan , Yang Chenxi , Rao Zhiguo 
Published: May 2023

Abstract
Proxy records of the oxygen isotope ratio of 18O/16O of past precipitation (δ18Op) have played an important role in revealing past hydroclimatic changes, on the basis of global observed relationships between monthly precipitation δ18Op and both precipitation amount and temperature only of a few years as reported by Dansgaard in 1964. It is therefore crucial to systematically re-evaluate the relationships using modern instrumental data. We analysed monthly and annual mean correlations from 108 global stations over the past about 60 years. Consistent with previously reported results, monthly δ18Op values in the high latitudes (≥60°) show a significant positive correlation with temperature (referred to as ‘temperature effect’) and a negative trend with precipitation amount in the low latitudes (≤20°) (‘amount effect’). However, these correlations do not hold true for yearly mean data for more than three-quarters of the stations evaluated. This indicates that the relationships between the different temporal resolutions could be more complicated than previously thought. For the related natural archives, such as ice cores, sediments, and carbonates, further careful evaluation is required to establish the robustness of their paleoclimatic implications.
Microbial community composition in urban riverbank sediments: response to municipal effluents over spatial gradient
Authors: Guan Yidong , Li Zhang , Huang Lidong , Luo Yin , Fu Jie 
Published: May 2023

Abstract

Municipal effluents have adverse impacts on the aquatic ecosystem and especially the microbial community. This study described the compositions of sediment bacterial communities in the urban riverbank over the spatial gradient. Sediments were collected from seven sampling sites of the Macha River. The physicochemical parameters of sediment samples were determined. The bacterial communities in sediments were analyzed by 16S rRNA gene sequencing. The results showed that these sites were affected by different types of effluents, leading to regional variations in the bacterial community. The higher microbial richness and biodiversity at SM2 and SD1 sites were correlated with the levels of NH4+-N, organic matter, effective sulphur, electrical conductivity, and total dissolved solids (p &lt; 0.01). Organic matter, total nitrogen, NH4+-N, NO3-N, pH, and effective sulphur were identified to be important drivers for bacterial community distribution. At the phylum level, Proteobacteria (32.8–71.7%) was predominant in sediments, and at the genus level, Serratia appeared at all sampling sites and accounted for the dominant genus. Sulphate-reducing bacteria, nitrifiers, and denitrifiers were detected and closely related to contaminants. This study expanded our understanding of municipal effluents on microbial communities in riverbank sediments, and also provided valuable information for further exploration of microbial community functions.
HTNpedia: A Knowledge Base for Hypertension Research
Authors: Loganathan Lakshmanan , Jeyaraman Jeyakanthan , Muthusamy Karthikeyan 
Published: May 2023

Background:
Hypertension is notably a serious public health concern due to its high
prevalence and strong association with cardiovascular disease and renal failure. It is reported to be
the fourth leading disease that leads to death worldwide.

Objective:
Currently, there is no active operational knowledge base or database for hypertension
or cardiovascular illness.

Methods:
The primary data source was retrieved from the research outputs obtained from our laboratory
team working on hypertension research. We have presented a preliminary dataset and external
links to the public repository for detailed analysis to readers.

Results:
As a result, HTNpedia was created to provide information regarding hypertension-related
proteins and genes.

Conclusion:
The complete webpage is accessible via www.mkarthikeyan.bioinfoau.org/HTNpedia.
Oral Insulin Delivery: A Review on Recent Advancements and Novel
Strategies
Authors: Barfar Ashkan , Alizadeh Helia , Masoomzadeh Salar , Javadzadeh Yousef 
Published: May 2023

Background:
Due to the lifestyle of people in the community in recent years, the prevalence
of diabetes mellitus has increased, so New drugs and related treatments are also being developed.

Introduction:
One of the essential treatments for diabetes today is injectable insulin forms, which have
their problems and limitations, such as invasive and less admission of patients and high cost of production.
According to the mentioned issues, Theoretically, Oral insulin forms can solve many problems of
injectable forms.

Methods:
Many efforts have been made to design and introduce Oral delivery systems of insulin, such
as lipid-based, synthetic polymer-based, and polysaccharide-based nano/microparticle formulations.
The present study reviewed these novel formulations and strategies in the past five years and checked
their properties and results.

Results:
According to peer-reviewed research, insulin-transporting particles may preserve insulin in the
acidic and enzymatic medium and decrease peptide degradation; in fact, they could deliver appropriate
insulin levels to the intestinal environment and then to blood. Some of the studied systems increase the
permeability of insulin to the absorption membrane in cellular models. In most investigations, in vivo
results revealed a lower ability of formulations to reduce BGL than subcutaneous form, despite promising
results in in vitro and stability testing.

Conclusion:
Although taking insulin orally currently seems unfeasible, future systems may be able to
overcome mentioned obstacles, making oral insulin delivery feasible and producing acceptable bioavailability
and treatment effects in comparison to injection forms.