bluuebunny/crossref_metadata_2025_split huggingface dataset:
Flexible, Ultrasensitive and High-practical Paper/f-TiO2/Ag SERS Chips for On-site, Rapid and Accurate Detection of Tricyclazole Pesticide in Agricultural Products
Authors: Pham Anh-Tuan , Bui Hanh Nhung , Thanh Nguyen Trung , Mai Quan-Doan D. , Le Anh-Tuan T. 
Published: May 2024

Abstract

Surface-enhanced Raman scattering (SERS) sensing is a powerful and important analytical technique in agriculture and food. Designing flexible SERS substrates that ensure both high sensor efficiency and feasibility in field analysis is highly desirable as it can bring the SERS technique closer to practical applications. Here, we demonstrate a designed Paper/f-TiO2/Ag structure, a flexible, ultrasensitive, and highly practical SERS chip, created by enhancing the self-assembly of Ag nanoparticles on a cellulose fiber matrix through the bridging of smart functionalized TiO2 nanomaterial (f-TiO2), which demonstrates superior detection capability for the hazardous plant protection agent tricyclazole (TCZ) on crops using an advanced, simple, and highly efficient analytical technique. Despite its straightforward fabrication process via a solvent immersion method, the intrinsic smart surface properties of the TiO2 bridging material – both hydrophilic and hydrophobic – enable the uniform and dense self-assembly of hydrophilic Ag nanoparticles (NPs) on the cellulose fiber paper substrate. This innovative design provides superior sensing efficiency for TCZ molecules with a detection limit reaching 2.1 × 10-9 M, a remarkable improvement compared to Paper/Ag substrates lacking f-TiO2 nanomaterials, which register at 10-5 M. This flexible SERS substrate also exhibits very high reliability as indicated by its excellent reproducibility and repeatability with relative standard deviations (RSD) of only 5.93% and 4.73%, respectively. Characterized by flexibility and a water-attractive yet non-soluble surface, the flexible Paper/f-TiO2/Ag chips offer the convenience of direct immersion into the analytical sample, facilitating seamless target molecule collection while circumventing interference signals. Termed the "dip and dry" technique, its advantages in field analysis are indisputable, boasting in-situ deployment, simplicity, and high efficiency, while minimizing interference signals to negligible levels. Through the application of this advanced technique, we have successfully detected TCZ in two high-value crops, ST25 rice, and dragon fruit, achieving excellent recovery values ranging from 90 to 128%. This underscores its immense potential in ensuring food quality and safety. As a proof of concept, flexible Paper/f-TiO2/Ag SERS chips, with a simple fabrication process, advanced analytical technique, and superior sensing efficiency, bring SERS one step closer to field applications beyond the laboratory.
Prevalence, associated factors and clinical implications of subjective cognitive decline linked to frailty in patients receiving maintenance hemodialysis: A cross-sectional study
Authors: Li Jie , Gao Yue , Li Xianghong , Yu Youhui , Li Guiyong , Yuan Huaihong 
Published: May 2024

Abstract

Background
Subjective cognitive decline (SCD) significantly increases a patient's risk of long-term cognitive decline and is common in adults. However, few studies have evaluated patients with end-stage renal disease receiving maintenance hemodialysis (MHD). In addition, the relationship between frailty and SCD in MHD patients remains unclear. Therefore, this study aims to assess the potential factors affecting SCD in MHD patients and to investigate the relationship between frailty and SCD.
Methods
This is a cross-sectional study. From December 2023 to April 2024, using convenience sampling method, a total of 171 patients from West China Hospital of Sichuan University were recruited to participate in this study. The demographic and sociological characteristics of the participants were assessed using a general information questionnaire. The subjective cognitive decline - questionnaire 9 (SCD - Q9), the Tilburg frailty indicator (TFI), the subjective global nutritional assessment (SGA) and grip dynamometer were used to assess participants' subjective cognitive level, frailty, nutrition status, and grip strengh, respectively. Univariate analyses examined potential factors associated with SCD. Linear regression was used to analyze the relationship between these factors and SCD. Spearman's correlation was used to assess the association between SCD and frailty.
Results
The 171 maintenance hemodialysis patients with subjective cognitive decline scores were 4.00 (2.00–7.00), and 95 patients (55.56%) with scores > 3 presented SCD. Linear regression analysis showed that gender, work status, grip strength, SGA, and frailty were influential factors in MHD, explaining a total of 38.80% of the total variation in SCD. Spearman's analysis showed that SCD was positively correlated with frailty in MHD patients (r = 0.431, P<0.001).
Conclusions
The prevalence of SCD in patients with MHD is common and correlates with certain patient characteristics, including gender, work status, grip strength, SGA, and frailty. Healthcare workers should pay attention to the assessment of subjective cognitive function in this population, stay alert to the risk factors of SCD, and take targeted interventions as early as possible, which can help to improve the quality of survival and slow down the occurrence of cognitive impairment.
Variability in Inter-segmental Coordination of the Lower Limb in Older Adults during Walking: An Analysis with Toe-only Rocker Sole Shoes
Authors: Hemmati Fatemeh , Rusta Mohammad Mahdi , Karimi Mohammad Taghi , Haghpanah Seyyed Arash , Ghoochani Bahareh Zeynalzadeh 
Published: May 2024

Abstract

Older adults have age-related problems in motor performance during walking. Toe-only rocker sole shoes are one of the most common shoe modifications, facilitating forward movement and, thus, affecting mobility and stability. Due to the importance of studying inter-segmental coordination and the lack of investigation of the effect of such shoes in the literature, this study aimed to evaluate the effect of these shoes in older adults. Twenty-four participants walked on a treadmill under two conditions: standard shoes and toe-only rocker sole shoes with 20° rocker angle. The continuous and mean absolute relative phase were used as sensitive indicators to evaluate the inter-segmental coordination, whereas the coordination variability was analyzed using the parameter of deviation phase. Results indicated that these shoes could lead to a reduction in excessive movement variability, which might be advantageous for gait with minimal discomfort. Statistical analysis also demonstrated a decrease in the variability of coordination patterns, which could lead to a more predictable and stable gait, reducing the risk of falls. The study demonstrated that these shoes enhance gait stability and consistency in older adults, potentially reducing fall risk and aiding those with ankle osteoarthritis. These findings highlighted the clinical importance of footwear in managing gait dynamics and preventing falls. The research suggested that proximal joint adaptations and the rocker function’s limitation of joint movement were beneficial for forward movement and stability. Findings underscored the potential of shoe modifications as a simple yet effective intervention for improving older adults’ mobility and safety.
Correlation between early intervention of periodontal disease and influencing factors in 12-year-old middle school students
Authors: Xuan Peng , Zhang Ziyang , Hu Xiaowen , Xiong Jinfan , Lin Bingliang , Chen Xiaochun , Cui Dan , Wang Chunxiao , Yang Yang , Li Juhong 
Published: May 2024

Abstract

Aim
Periodontal diseases are gradually becoming public health challenges around the world. This study aimed to explore the relationship between periodontal intervention and the risk of early periodontal disease.
Materials and Methods
This survey uses stratified sampling to select Luohu District, Nanshan District and Longhua District. All 12-year-old students in the first grade of junior high school in the project school (or some of the classes) are targeted for the project. We adopted the plaque index (PI), calculus index (CI), and bleeding index as the contents of our periodontal health examination. Descriptive statistical analysis was mainly used. The multi-class data analysis was performed by chi-square test. The analysis of influencing factors and intervention measures adapt logistics regression analysis.
Results
A total of 964 people underwent the periodontal health check and questionnaire in this study. A logistic regression model was used to assess the risk of periodontal disease between the intervention group and the control group. Overall, we found significant differences in the risk of related periodontal diseases (periodontal disease OR 1.999; 95%CI: 1.500 ~ 2.664, buccal gum bleeding OR 1.472; 95%CI: 1.134 ~ 1.910, lingual gum bleeding OR 2.085; 95%CI: 1.576 ~ 2.758 and calculus OR 2.093; 95%CI: 1.600 ~ 2.737) between the intervention group and the control group. Except for plaque, the risk of disease is not significant.
Conclusions
Our study validated the relationship between periodontal intervention and reduced risk of periodontal disease. This research provided a scientific basis for preventing and controlling the occurrence and development of adolescent periodontal disease.
Demographic and coping predictors of severe forms of loneliness in young people aged 12-25 years
Authors: Jong Angelina , Riddleston Laura , Fuhrmann Delia , Lau Jennifer Y. F. 
Published: May 2024

Abstract

Loneliness is common in young people and predicts a range of concurrent psychiatric conditions. Yet, young people feel there are few resources to support them. Who develops severe forms of youth loneliness and which modifiable psychological correlates are associated with loneliness severity could help in developing resources to support groups of young people who are most vulnerable. Here, we explored which demographic characteristics (age, gender, minority ethnic status, and indices of socioeconomic status) predicted more severe forms of loneliness. Based on strategies that young people said they would recommend to a friend to manage loneliness, we also explored whether specific coping strategies and coping flexibility predicted severe loneliness. We explored these questions using loneliness data gathered during the COVID-19 pandemic, a time when social restriction policies heightened loneliness experiences. Latent class growth analysis identified five loneliness trajectory classes. Among these was a “high stable” group (11% of the sample) who reported frequent loneliness that also endured across time-points. Other groups included a moderate decreasing (15%), a low increasing (16%), a moderate stable (23%), and a low stable (35%) group. The high stable loneliness class also reported significantly lower wellbeing scores compared to the many of the other groups. Entry into the high stable loneliness group was predicted by being female. Recommendation of approach coping strategies predicted lower likelihood of being in the high stable loneliness group. Future research and clinical work should explore the utility of coping strategies to manage loneliness to reduce the impact on well-being and psychiatric outcomes.
Risk factors for hospitalisation due to exacerbations among adult asthma patients in a district of Sri Lanka: a case control study
Authors: Punyadasa Dhanusha Harshinie , Kumarapeli Vindya , Senaratne Wijith 
Published: May 2024

Abstract

Background
Exacerbations of asthma are a leading contributor to hospitalisations. Information on risk factors for hospitalisations due to exacerbated asthma will help to identify high-risk asthma patients for specialised care. We aimed to identify the risk factors for ‘hospitalisations due to exacerbations’ among adult asthma patients in a district of Sri Lanka.
Methods
A hospital-based, case-control study was carried out among asthma patients aged ≥ 20 years. Sample of 466 asthma patients (116 cases, 350 controls) recruited from all tertiary care hospitals in the district. Data were collected by pre-intern Medical Officers via pre-tested interviewer administered questionnaire on asthma control, asthma co-morbidities, risk behaviors, physiological and sociodemographic factors. Risk factors were evaluated using bivariate and multivariate logistic regression. Data were analyzed using SPSS version 20.
Results
Risk factors were; age ≥ 60 years (OR 2.1; 95% CI 1.2–3.7), educated G.C.E. O/Level or less (OR 2.2; 95% CI 1.1–4.4), having diabetes mellitus (OR 2.0; 95% CI 1.1–3.7), having symptomatic Gastroesophageal Reflux Disease (GORD) (OR 3.4; 95% CI 1.8–6.4), exposure to vehicular traffic (OR 3.2; 95%CI 1.8–5.7), exposure to secondhand tobacco smoke (OR 2.1; 95% CI 1.2–3.5), having ever smoked (OR 2.4; 95% CI 1.2–4.6), ever intubated/given ICU care (OR 3.5; 95% CI 1.5-8.0), previous hospitalizations due to exacerbations (OR 5.5; 95% CI 2.6–11.4), having uncontrolled asthma (OR 3.4; 95% CI 1.6–7.1) and BMI ≥ 25kg/m2 (OR 2.3; 95% CI 1.4-4.0).
Conclusions
Preventive strategies need to address the modifiable risk factors: smoking, and obesity and manage comorbid conditions: diabetes and symptomatic GORD appropriately in asthma patients.
Enhancing Autonomous Navigation in GNSS-Denied Environments: Integrating Collision Avoidance with Observability-Based Motion Planning
Authors: elahian samaneh , Atashgah M. A. Amiri , Tarverdizadeh Bahram 
Published: May 2024

Abstract

This paper introduces a collision avoidance (CA) method integrated into the Observability Based Motion Planning (OBMP) framework. OBMP facilitates autonomous robot navigation in GNSS-denied outdoor environments, leveraging the concept of observability degree. The CA-OBMP method proposed here is an extension of the OBMP algorithm, which constructs paths based on terrestrial landmarks considering the obstacles. The CA approach is developed by redefining a dataset of in range landmarks while all of the landmark in vicinity of the obstacles are removed from the dataset. To evaluate the performance of the proposed method, simulations of the CA-OBMP algorithm are conducted for a 6-Degree of Freedom (DOF) quadrotor using MATLAB. The simulations encompass various arrangements of obstacles and diverse initial positions to assess the efficacy of CA method in different scenarios.
CBLANE: A deep learning approach for Transcription Factor Binding Sites Prediction
Authors: Ferrao Jonas , Dias Dickson , Morajkar Sweta 
Published: May 2024

Abstract

This study explores the application of CBLANE (convolutional bidirectional long short-term memory (BiLSTM) attention network) as a deep neural network designed for predicting transcription factor binding sites (TFBS) within genomic data. CBLANE's architecture comprises convolutional, recurrent, and attention layers, tailored to extract essential features and information from DNA sequence data. Initially trained on DNA sequences, CBLANE can also function as an encoder, useful for dimensionality reduction and the extraction of information from genetic sequences. Its architecture enables the extraction of relevant features critical for TFBS prediction. Thoroughly evaluating the model, we find that CBLANE has an average AUC of 0.9386 on the 690 datasets from the Encyclopedia of DNA Elements (ENCODE) chromatin immunoprecipitation sequencing (ChIP-seq) experiments outperforming other state of the art methods. Further experiments on the 165 ENCODE ChIP-Seq datasets reveal that CBLANE attains an average AUC of 0.9407. This performance surpasses that of other state-of-the-art methods that incorporate DNA shape profiles in their predictions. Notably, this improved performance was attained while substantially reducing the model size, as reflected in the parameter count.
Proteomics analysis of wild and cultivated tomato species challenged with Alternaria solani unveiled differential tolerance mechanisms
Authors: Singh Dhananjaya Pratap , Maurya Sudarshan , Yerasu Suresh Reddy , Chaurasia Anurag , Prabha Ratna , Shukla Renu , Satnami Lovkush , Rai Nagendra , Behera Tusar Kanti 
Published: May 2024

Abstract

Proteomics of wild and cultivated tomato species challenged with Alternaria solani revealed altered protein profile with 1827 proteins in challenged susceptible plants (KTr), 1867 in non-challenged plants (KNTr), 1721 in challenged wild (CTr) and 1715 in non-challenged plants (CNTr). PLS-DA and heatmap analysis highlighted differences in protein composition and abundance as differential response species to pathogen. Compared to 321 differentially expressed proteins (DEPs) in wild tomato, cultivated plants showed 183 DEPs. Key upregulated proteins in wild tomato included defense-related t-SNARE, glucan endo-1,3-beta-D-glucosidase, pathogenesis-related protein P2, stress responsive DEK domain containing protein, heat shock 70 kDa protein 17, SHSP chaperone, signaling linked DAG, SCP domain-containing protein, Cutin-deficient protein, immunity-related translation initiation factor and RRM domain-containing protein. Protein-protein interaction (PPI) network analysis clustered defense related up-regulated chaperonins and other proteins into three distinct clusters in wild tomato. Prominent subcellular locations of up-regulated proteins were extracellular and intracellular regions, cytoplasm and membrane bound organelles. Compared to cultivated species, majority of plant defense, stress response and growth-related protein biomarkers were found up-regulated in wild tomato, suggesting its tolerance against pathogen due to stronger response. We conclude that significant up-regulation of defense, signaling and plant growth-related proteins enabled wild species to mount stronger response against the pathogen A. solani. Higher compositional protein diversity in the wild plants likely provided metabolic plasticity to modulate intrinsic defense mechanisms more effectively. This study enhances our understanding of the proteome-related molecular mechanisms underlying differential responses of wild and cultivated tomato species to this devastating pathogen.
Marker- trait association analysis and population structure in core collection of Henna (Lawsonia inermis L.) germplasm
Authors: Zadeh Beheshteh Khandani , AliZadeh Ardalan , Aien Ahmad , Nejad Ghasem Mohammadi , Ebrahimi Fatemeh 
Published: May 2024

Abstract

Context: Henna (Lawsonia inermis L.,) was recognized as an important medicinal plant, its therapeutic potentials, beneficial impact on health (such as antioxidant, anti-inflammatory and antimicrobial effects (and cosmetic.
Aims: This study was done to determine relationships among marker loci with important traits in henna and define the most suitable population genetic structure.
Methods: Association analysis was performed between 8 traits to 106 polymorphic loci generated by 9 ISSR primers in 140 ecotypes of Henna. The population structure analysis indicated three main subpopulations with significant genetic differences defined by AMOVA (analysis of molecular variance) results.
Key results: The results of association analysis based mixed linear model (MLM) and general linear model (GLM) indicated that T(GA)9- 5 marker had a highly significant relationship (P < 0.0001) with leaf area trait. Also, T(GA)9- 5, (AG)8T- 1, (GTGC)4- 8 and T(GA)9- 1 markers showed a strong association with dry leaf weight. Four markers T(GA)9- 5, (AG)8T- 1, T(GA)9- 2 and T(GA)9- 1 had a strong relationship (P < 0.009) with dry stem weight. (GA)9T- 12, T(CA)8- 7 and T(CA)8- 12 markers indicated a significant relationship with plant height based on both MLM and GLM models.
Conclusions: Defined markers could be suitable candidates to be used for marker-assisted breeding techniques in henna.
Implications: In association between molecular markers and morphological traits, it is necessary to evaluated population structure to elude a false relationship between markers and morphological traits which was rarely done in henna as an important medicinal plant.
Shingles on the big toe
Authors: Saricicek Mehmet Sinan , Saricicek Ali Taylan 
Published: May 2024

Abstract

Shingles occur after reactivation of latent Varicella zoster virus (VZV) in the dorsal root ganglion. Usually, chickenpox infection is a primary infection that occurs in childhood. After primary infection, VZV can be latent in neural tissue and can be reactive spontaneously or because of various risk factors. The most common risk factors are age >50 years, immunosuppression, infection and mental stress. Symptoms appear in 3 phases: preeruptive, acute exudative and chronic. Symptoms usually start in the preeruptive phase. Typically, patients present with painful or pruritic band-like vesicular lesions that do not cross the midline of the body. The most common site of shingles is the thoracic area. In this case report, we describe the atypical presentation of shingles with rare dermatomal involvement in a 55-year-old female patient who had a history of a significant immunocompromised state.
Validation of Internet Gratification Scale on Indian Undergraduates using Network Psychometrics
Authors: Magray Ajaz Ahmad , Chakraborty Rajib 
Published: May 2024

Abstract

The Internet Gratification Scale, developed by Dhir et al. (2016), measures the Internet Gratifications among adolescents and is based on six factors of Internet gratifications including Information seeking, Exposure, Connection, Coordination, Entertainment and Social influence. In the present study, the scale was validated using the network psychometrics approach for college students in Indian context. The sample subjects were drawn from degree colleges of Jammu and Kashmir Union Territory of India. A total of 662 students were taken from the colleges including both boys (240) and girls (422). We applied Exploratory graph analysis (EGA) by employing the EGAnet package in R/R-Studio, which resulted in the yielding of the five clusters of the scale, wherein the node numbers 17, 18 and 19 getting merged with first cluster. These three items pertained to the ‘Exposure’ cluster/dimension in the original scale and got merged with ‘Information Seeking’ cluster/dimension. These three items showing split loading were dropped from the scale and the EGA was run again. The network analysis plot obtained after the second run showed a clear 5-cluster/factor structure including Information Seeking, Connection, Entertainment, Social Influence and Coordination. Thereafter ordinal Confirmatory Factor analysis was done. we used the estimator WLSMV for ordinal level data using lavaan package. The analysis revealed the values of CFI, TLI, RMSEA robust and SRMR bentler as 0.982, 0.980, 0.086 and 0.064 respectively which are within the acceptable limits thereby indicate a good fit. Furthermore, edge weight accuracy was calculated through the non-parametric bootstrap confidence interval. The correlation stability coefficient and bootstrapped difference tests were also performed. The plots were generated using the package qgraph. Finally, the structural consistency of the clusters was estimated and found to be within the acceptable limits. The educational and psychometric implications of the study are discussed.