bluuebunny/crossref_metadata_2025_split huggingface dataset:
ВОЗМОЖНОСТИ ПОВЫШЕНИЯ КАЧЕСТВА МЕТРОЛОГИЧЕСКОЙ
ЭКСПЕРТИЗЫ СРЕДСТВАМИ СОВРЕМЕННОЙ АВТОМАТИЗАЦИИ
Authors: Минабутдинова В. Д. , Хуснутдинова Э. М. 
Published: February 2024

Метрологическая экспертиза нормативно-технической документации всегда была и будет необходимой процедурой, способствующей вовремя обратить внимание на технические решения, которые принимаются с нарушением метрологических норм и правил, и вовремя устранить возможные ошибки.
Данная процедура является сложным процессом ввиду определенных факторов.
Решением данного вопроса является автоматизация метрологической экспертизы нормативно-технической документации.
Predicting Future Class Grades with Formative Assessments
Authors: Fleischer Avi , Merchant Christopher 
Published: February 2024

Abstract

The formative assessment process in education has been shown to be a valuable educational tool that allows and encourages instructors to provide helpful feedback on student learning without the pressures inherent to summative assessments (i.e., course exams). Kahoot is an online, game-based formative assessment program designed to be used in the classroom, and has demonstrated effectiveness in research. The aim of this study was to investigate the use of Kahoot as a formative assessment strategy in Introductory Psychology courses at university. Data come from 191 students over 5 years of the course. Results show that, along with attendance, predictive models containing Kahoot scores and the number of assessments taken can be significant predictors of exam scores–both immediate and long-term. The study lends support to previous research that identifies formative assessments and classroom attendance as indicators of student success.
Optimizing Resonator Frequency Stability in Flip-Chip Architectures: A Novel Experimental Design Approach
Authors: An Shuoming , Li Yuan , Wang Tianhui , Hu Jingjing , Li Dengfeng 
Published: February 2024

Abstract
In multi-qubit superconducting systems utilizing flip-chip technology, achieving high accuracy in resonator frequencies is of paramount importance, particularly when multiple resonators share a common Purcell filter with restricted bandwidth. Nevertheless, variations in inter-chip spacing can considerably influence these frequencies. To tackle this issue, we present and experimentally validate the effectiveness of a resonator design. In our design, we etch portions of the metal on the bottom chip that faces the resonator structure on the top chip. This enhanced design substantially improves frequency stability by a factor of over 3.5 compared to the non-optimized design, as evaluated by the root mean square error of a linear fitting of the observed frequency distribution, which is intended to be linear. This advancement is crucial for successful scale-up and achievement of high-fidelity quantum operations.
Applied powdered leaf-biomass of alien weed Hyptis suaveolens (L.) Poit. in soil adversely impacts germination, growth, and yield of crop Lens culinaris Medik. despite enhancing soil fertility
Authors: LOMAS MANEESH KUMAR , ANJALI ANJALI , AGRAWAL SHACHI , NARAYAN RUP 
Published: February 2024

Abstract

Hyptis suaveolens L. (family Lamiaceae), an exotic fast-spreading invasive weed in Indian dry-tropics, was investigated for the allelopathic impact of its powdered leaf-biomass on the seed germination, growth, yield, photosynthetic-pigments and biochemical parameters (protein, proline and phenolic content) of the crop Lens culinaris. Soil characteristics (organic carbon, total nitrogen, available phosphorous and phenolic content) of soils amended with powdered leaf-biomass were also examined in this study. Soils were amended with differing doses (1g, 2g, 4g and 8g kg− 1 soil) of powered leaf-biomass of the investigated weed. Lentil seed germination distinctly declined in soils amended with higher doses of powdered leaf-biomass. Crop growth, including its yield, significantly declined with increasing dose of powdered leaf-biomass. Compared to control, chlorophylls (a and b), carotenoids and protein content decreased significantly at varying growth stages of lentil with increasing dose. In contrast, proline and phenolic content in lentil crop significantly increased with increasing doses. The allelopathic index and synthesis effect of powdered leaf-biomass increased with increasing doses and it was significantly higher at the higher dose (8g kg− 1 soil). Thirty-five chemical compounds were GCMS-identified from the leaf extract of this weed. The identified compounds were mainly alkaloids, terpene, phenolics and fatty acids. Organic carbon, total nitrogen and phenolic content of the variously amended-soils increased significantly with increasing applied powdered leaf-biomass. In conclusion, powdered leaf-biomass of the Hyptis suaveolens, despite improving soil fertility, adversely impacted crop growth and its biochemical attributes, ostensibly through the release of allelochemicals, implying its immense invasibility in diverse ecosystems of India.
Clinical study of tear total IgE detection in the diagnosis and treatment of allergic conjunctivitis in children
Authors: Guan Yingjie , Xu Wenfei , Liao Yan , Cao Jinting , Chen Kejing , Lin Yan , Huang Jing 
Published: February 2024

Abstract

Objective
To provide a new method for the diagnosis of allergic conjunctivitis by detecting the total IgE level of tears in children.
Methods
40 patients in our hospital were studied. By measuring and comparing the total IgE level of tears in the experimental group and the control group, the difference between the two groups was compared by statistical methods.
Results
A total of 40 cases were collected, including 26 cases in the AC exper- imental group and 14 cases in the control group. The total IgE concentration in tears of allergic conjunctivitis patients in the experimental group was mostly lower. There was no significant difference in total IgE level between the control group and the experimental group.
Conclusion
Tear detection has guiding significance for the diagnosis of AC, but it is difficult to reflect in children. Further studies should be conducted on the basis of this study to make tear detection more accurate and effective for the diagnosis and treatment of allergic conjunctivitis in children.
A Siamese Deep Learning Framework for Efficient Hardware Trojan Detection Using Power Side-Channel Data
Authors: Nasr Abdurrahman , mohamed khalil , shenawy Ayman El , Abdulmageed Mohamed Z. 
Published: February 2024

Abstract
Hardware Trojans (HTs) are malicious alterations to the circuitry of integrated circuits (ICs), enabling unauthorized access, data theft, operational disruptions, or even physical harm. Detecting Hardware Trojans (HTD) is paramount for ensuring IC security. This paper introduces a novel Siamese neural network (SNN) framework for non-destructive HTD. The proposed framework can detect HTs by processing power side-channel signals without the need for a golden model of the IC. To obtain the best results, different neural network models such as Convolutional Neural Network (CNN), Gated Recurrent Unit (GRU), and Long Short-Term Memory (LSTM) are integrated individually with SNN. These models are trained on the extracted features from the Trojan Power & EM Side-Channel dataset. The results show that the Siamese LSTM model achieved the highest accuracy of 86.78%, followed by the Siamese GRU model with 83.59% accuracy and the Siamese CNN model with 73.54% accuracy. The comparison shows that of the proposed Siamese LSTM is a promising new approach for HTD and outperform the state-of-the-art methods.
Spectrum of thyroid dysfunction at a tertiary care hospital: A retrospective study
Authors: Aidoo Emmanuel Donkoh , Ababio Grace Korkor , Arko-Boham Benjamin , Tagoe Emmanuel Ayitey , aryee nii ayite 
Published: February 2024

Abstract
Purpose
The entire spectrum of thyroid dysfunction has been infrequently reported in African populations. The aim of this retrospective study was to describe the spectrum of thyroid dysfunction among patients seen at the Korle-Bu Teaching Hospital (KBTH), a tertiary care hospital in Accra, Ghana.
Methods
A retrospective analysis of medical records of all consultations on thyroid disorders seen at the Internal Medicine Department of KBTH between January 2019 and December 2021 was conducted. Information on patient demographics, and thyroid hormone profiles (FT3, FT4, and TSH) were extracted and subjected to descriptive statistics. Thyroid hormone profiles of subjects were analyzed and classified into thyroid dysfunction categories using guidelines of the American Thyroid Association (ATA).
Results
Out of the 215 patients with thyroid disorders enrolled, 85.1% (n = 183) were females and 14.9% (n = 32), males. The mean age of patients was 45 ± 14 years, with most of the patients in the age range of 31–50 years (49.3%; n = 106). The most reported thyroid function dysfunction was primary hyperthyroidism (57.7%), followed by primary hypothyroidism (22.3%), subclinical hyperthyroidism (9.3%), euthyroid sick syndrome (6.5%), and subclinical hypothyroidism (4.6%) respectively.
Conclusion
Primary hyperthyroidism was the most commonly diagnosed thyroid dysfunction. Hyperthyroidism has been linked with cardiac morbidity and mortality. Timely interventions are required to reduce the morbidity risks and burden associated with the hyperthyroid state.
Identification of UBE2N as a biomarker of Alzheimer's disease by combining WGCNA with machine learning algorithms
Authors: Feng Gangyi , Zhong Manli , Huang Hudie , Zhao Pu , Zhang Xiaoyu , Wang Tao , Gao Huiling , Xu He 
Published: February 2024

Abstract

Alzheimer’s disease (AD) is the most common neurodegenerative disorder leading to progressive cognitive decline. With the development of machine learning analysis, screening biomarkers based on existing clinical data is becoming conducive to understanding the pathogenesis of AD and discovering new treatment targets. Our study integrated three AD datasets in the GEO database for differential expression analysis. After constructing a WGCNA network, 109 key genes were obtained and 48 core genes were analyzed from 109 genes using a protein-protein interaction network. The least absolute shrinkage and selection operator, support vector machine recursive feature elimination, and Random Forest methods were applied to obtain the features associated with the 48 core genes and 13 potentially related AD biomarkers were selected. By intersecting InnateDB database with them, we found a potential immune-related marker, UBE2N. MFUZZ cluster analysis revealed that UBE2N is closely related to T cell and B cell functions and the synaptic vesicle cycle signaling pathways. In addition, the expression levels of UBE2N were decreased in the temporal cortex and hippocampus of TauP301S mice but not APP/PS1 mice. Our findings are the first comprehensive identification of UBE2N as a biomarker for AD, paving the way for much-needed early diagnosis and targeted treatment.
Preferential evaluation of coal filling mining scheme under building pressure based on improved grey target decision-making model of game theory
Authors: Ma Junpeng , Ma Chaoqun , Liu Tao , Zhu Xianxiang , Li Song , Jin Lei 
Published: February 2024

Abstract
The problem of coal compression under buildings is common in underground mining of coal mines in China. The selection of traditional mining programme is subjective and lacks scientific rationality. In order to solve this problem, this paper studies the evaluation index system and model applicable to the selection of coal filling mining scheme under buildings. A multi-objective evaluation index system integrating economic, technical and adaptive factors is constructed. And an integrated optimization model is established, which is based on the traditional grey target model, combining the game theory optimal combination of weights with the hierarchical analysis method, entropy weight method, Critic method to determine the weights, and then introducing the TOPSIS model and the Mars distance to establish an improved grey target decision-making model. The validity of the evaluation index system and model is verified by taking the example of coal mining under pressure of buildings in five mining areas of a coal mine, which provides technical support for decision makers. This study helps to scientifically and reasonably carry out the preferred mining scheme of coal filling under building pressure.
Transcriptomic and physiological analysis provide new insight into seed shattering mechanism in Pennisetum alopecuroides‘Liqiu’
Authors: Fan Xifeng , Yue Yuesen , Xu Yue , Liu Lingyun , Jia Ming , Teng Ke , Mu Na , Guo Yidi , Liu Muye , Wu Juying , Teng Wenjun , Huang Linkai 
Published: February 2024

Abstract
Pennisetum alopecuroides is one of the most representative ornamental grass species of Pennisetumgenus. It has unique inflorescence, elegant appearance, and strong stress tolerance. However, the shattering of seeds reduces not only the ornamental effect but also the seed production. In order to understand the potential mechanism of seed shattering in P. alopecuroides, we conducted morphological, histological, physiological, and transcriptomic analyses on P. alopecuroides cv. ‘Liqiu’. According to histological findings, the seed shattering of ‘Liqiu’ is determined by the abscission zone at the base of the pedicel. Correlation analysis showed that seed shattering was significantly correlated with cellulase, lignin, auxin, gibberellin, cytokinin and jasmonic acid. According to histological and physiological findings, accumulation of cellulase and lignin occurs during ‘Liqiu’ seed abscission. We used PacBio full-length transcriptome sequencing (SMRT) combined with next-generation sequencing (NGS) transcriptome technology to improve the transcriptome data of ‘Liqiu’. Transcriptomics further identified many differential genes involved in cellulase, lignin and plant hormone-related pathways. This study will provide new insights into the research on the shattering mechanism of P. alopecuroides.
Backlash compensation based oscillation suppression control for automatic loading manipulator arm with nonlinear extended state observer
Authors: Wang Jiehao , Zou Quan , Xu Yadong , Chang Shuaichuan , Li Yanze 
Published: February 2024

Abstract

A servo system of automatic loading manipulator arm (ALMA) with backlash nonlinearity is investigated in this paper to suppress the limit cycle oscillation. To provide a more accurate representation of the system response, a two-inertia model method is employed. According to the system response, the influence of variation in backlash width, load inertia, and proportionality factor on the limit cycle is discussed using the frequency domain analysis method. The decrease of transmission torque resulting from backlash nonlinearity as the main cause of limit cycle oscillation is identified. Based on frequency domain analysis, an oscillation suppression method that employs backlash as disturbance compensation is proposed. A novel Third-order Nonlinear Extended State Observer (TNESO) that is more economical and reliable than torque sensors is utilized to estimate the transmission torque. Consequently, the estimated transmission torque as well as the displacement of the motor and load is utilized to obtain the backlash disturbance which can be counteracted by introducing a compensation of current reference value to mitigate the adverse effects of backlash on the system. The comparison of displacement-time curve between compensated and uncompensated experiments reveals that positioning error is reduced from 0.006 rad to 0.001 rad when displacement is compensated. Besides, the compensated system's position curve is smoother. Thus, the effectiveness of the proposed method is verified.
Causal Effects of Gut Microbiota on Oral Cavity Cancer— A Two-Sample Mendelian Randomization Study
Authors: DAI Yuwei , MAO Ruohui , CHEN Yitong , YE Xinjian , WANG Chaowei , ZHU Huiyong 
Published: February 2024

Abstract
Background
Recent studies have found that there is a certain correlation between gut microbiota (GM) and oral cavity cancer (OCC). However, their causality is unclear. This study aimed to evaluate the causal relationship between GM and OCC and identify specific pathogenic microbial taxa.
Materials and Methods
In this Two-Sample Mendelian Randomization Study,GWAS of the microbiome from the MiBioGen consortium (18,340 samples from 24 population-based cohorts) were used as exposure data. In addition, outcome data (357 OCC cases and 372,016 controls) were extracted from the IEU Open GWAS project. To examine the characteristics of potentially pathogenic bacteria in OCC, we performed two-sample Mendelian randomization (MR) analyses-based genome-wide association study (GWAS) summary statistics with the use of inverse-variance-weighting or Wald ratio. Subsequently, sensitivity analyses were performed to explore the robustness of the primary results. Finally, we performed reverse MR analysis to mitigate reverse causality.
Result
A total of 2,699 single nucleotide polymorphisms (SNPs) associated with 196 bacterial genera were screened as instrumental variables (IVs), and the results suggested that the following taxonomic groups could increase the risk of OCC: order.Burkholderiales, order.Bacillales, class.Betaproteobacteria, genus.Desulfovibrio, order.Pasteurellales, family.Pasteurellaceae, genus.Eubacteriumfissicatenagroup, family.Alcaligenaceae, genus.LachnospiraceaeUCG004, genus.Prevotella7, and genus.Peptococcus.Conversely, genus.Butyrivibrio, genus.Eggerthella, genus.Clostridiumsensustricto1, family.Clostridiaceae1, and phylum.Lentisphaerae exhibited a protective effect against OCC.
Conclusion
Bacillus orders, Bacillus phylums and Proteobacteria are associated with an increased risk of occ, while Genus Butyrivibrio, genus Eggerthella, and genus Clostridium reduce the risk of OCC development. Our study supports a potential causal relationship between several GM and occ, but how this affects OCC development remains to be further explored.
The Fur-like regulatory protein MAP3773c modulates key metabolic pathways in Mycobacterium avium subsp. paratuberculosis under in-vitro iron starvation
Authors: Thapa Sajani , Rathnaiah Govardhan , Zinniel Denise K. , Barletta Raul G. , Bannantine John P. , Huebner Marianne , Sreevat Srinand 
Published: February 2024

Abstract

Johne’s disease (JD) is a chronic enteric infection of dairy cattle worldwide. Mycobacterium avium subsp. paratuberculosis (MAP), the causative agent of JD, is fastidious often requiring eight to sixteen weeks to produce colonies in culture – a major hurdle in the diagnosis and therefore in implementation of optimal JD control measures. A significant gap in knowledge is the comprehensive understanding of the metabolic networks deployed by MAP to regulate iron both in-vitro and in-vivo. The genome of MAP carries MAP3773c, a putative metal regulator, which is absent in all other mycobacteria. The role of MAP3773c in intracellular iron regulation is poorly understood. In the current study, a field isolate (K-10) and an in-frame MAP3773c deletion mutant (ΔMAP3773c) derived from K-10, were exposed to iron starvation for 5, 30, 60, and 90 minutes and RNA-Seq was performed. A comparison of transcriptional profiles between K-10 and ΔMAP3773c showed 425 differentially expressed genes (DEGs) at 30 minutes time post-iron restriction. Functional analysis of DEGs in ΔMAP3773c revealed that pantothenate (Pan) biosynthesis, polysaccharide biosynthesis and sugar metabolism genes were downregulated at 30 minutes post-iron starvation whereas ATP-binding cassette (ABC) type metal transporters, putative siderophore biosynthesis, PPE and PE family genes were upregulated. Pathway analysis revealed that the MAP3773c knockout has an impairment in Pan and Coenzyme A (CoA) biosynthesis pathways suggesting that the absence of those pathways likely affect overall metabolic processes and cellular functions, which have consequences on MAP survival and pathogenesis.
“As a patient I do not belong to the clinic, I belong to the community.” Co-developing a multi-level, person-centred tuberculosis stigma intervention in Cape Town, South Africa
Authors: Hayward Sally E. , Vanqa Nosivuyile , Makanda Goodman , Tisile Phumeza , Ngwatyu Luthando , Foster Isabel , Mcinziba Abenathi , Biewer Amanda , Mbuyamba Rachel , Galloway Michelle , Bunyula Siyavuya , Westhuizen Helene-Mari , Friedland Jon S. , Marino-Medina Andrew , Viljoen Lario , Schoeman Ingrid , Hoddinott Graeme , Nathavitharana Ruvandhi R. 
Published: February 2024

Abstract
Background: Anticipated, internal, and enacted stigma are major barriers to TB care engagement, and directly impact patient well-being. Unfortunately, targeted stigma interventions are lacking. We aimed to co-develop a person-centred stigma intervention with TB-affected community members and health workers in South Africa.
Methods: Using a community-based participatory research approach, we conducted ten group discussions with people diagnosed with TB (past or present), caregivers, and health workers (total n=87) in Khayelitsha, Cape Town. Group discussions were facilitated by TB survivors. Discussion guides explored experiences and drivers of stigma and used human-centred design principles to co-develop solutions. Recordings were transcribed, coded, thematically analysed and then further interpreted using the socio-ecological model.
Results: Intervention components across socio-ecological levels shared common behaviour change strategies, namely education, empowerment, engagement, and innovation. At the individual level, participants recommended counselling to improve TB knowledge and provide ongoing support. TB survivors can guide messaging to nurture stigma resilience by highlighting that TB can affect anyone and is curable, and provide lived experiences of TB to decrease internal stigma. At the interpersonal level, support clubs and family-centred counselling were suggested to dispel TB-related myths and foster support. At the institutional level, health worker stigma reduction training informed by TB survivor perspectives was recommended. Consideration of how integration of TB/HIV care services may exacerbate TB/HIV intersectional stigma and ideas for restructured service delivery models were suggested to decrease anticipated and enacted stigma. At the community level, participants recommended awareness-raising events led by TB survivors, including TB information in school curricula. At the policy level, solutions focused on reducing the visibility generated by a TB diagnosis and resultant stigma in health facilities and shifting tasks to community health workers.
Conclusions: Decreasing TB stigma requires a multi-level approach. Co-developing a person-centred intervention with affected communities is feasible and generates stigma intervention components that are directed and implementable. Such community-informed intervention components should be prioritised by TB programs, including integrated TB/HIV care services.