bluuebunny/crossref_metadata_2025_split huggingface dataset:
The relationship between personality disorders and parents' social capital with the social health of children and adolescents in Yazd
Authors: Ahmadi Nastaran , Rashidpourb Parvane , Mohammadi Mohammad Reza , Farahzadi Mohammadhadi , Ardeshirpeyd Javad , Abouzari Hossein , Mobinif Malihe , Mirzaeig Masoud , Mehrparvarh Amir Houshang , Rismanian Yazdid Fatemeh 
Published: June 2024

Background: Considering that personality disorders and parents' social capital are two important factors that can affect the social health of children and adolescents, therefore, the present study aims to examine the relationship between personality disorders and parents' social capital with the social health of children and adolescents in Yazd.
Methods: This is a descriptive_ correlational study that was done in the province of Yazd in which 1035 children and adolescents between the ages of 6 to 18 participated. These participants were selected on the base of multi-stage random cluster sampling. The social capital questionnaire and parents' personality disorders (Millon Clinical Multiaxial Inventory - Third Edition (MCMI-III) which parents completed and the lifestyle questionnaire was completed by children and adolescents. Data analysis was done by applying descriptive statistics and calculation of odds ratio with a 95% confidence interval.
Results: A total of 1035 parents children and adolescents were enrolled, participants (44.1%) were males and (55.9%) were females. Millon's test of fathers demonstrates a significant correlation with the average scores of structural social capital, cognitive social capital, communicative social capital, and total social capital (P-value <0.001). Millon’s test of fathers had a significant relationship with total social capital in all age groups (P-value<0.05). On the other hand, Millon’s test of mothers had a significant relationship with total social capital in fathers aged 19-34 years (P-value<0.001).
Conclusion: Family social capital improves children and adolescent’s social health. Consequently, caregivers have a significant impact on the social and psychological well-being of young individuals. Enhancing the level of social capital and promoting mutual understanding among parents is imperative to achieve this goal. It is necessary to strengthen the level of social capital, and mutual understanding between parents. In addition, it can be suggested to pay more attention to the psychological characteristics of parents in the process of diagnosis and therapeutic intervention of children and adolescents.
IMPLEMENTASI ETIKA PEJABAT MK: STUDI KASUS KEPEMIMPINAN ANWAR USMAN
Authors: M. Jundi Rabbani  , Jati Cahya Kusumajati , Mukhsin Achmad  
Published: June 2024

Kasus pelanggaran etika terhangat datang dari Mahkmah Konstitusi, yakni Ketua Mahkamah Konstitusi (MK) Anwar Usman dinyatakan terbukti melakukan pelanggaran kode etik berat dan perilaku hakim konstitusi dalam penangangan perkara 90/PUU-XXI/2023 soal pengujian syarat usia calon presiden dan wakil presiden. Adapun tujuan penelitian ini yakni pertama, untuk menganalisis beberapa pelanggaran kode etik yang dilakukan oleh hakim konstitusi Anwar Usman. Kedua, untuk menganalisis implementasi etika kepemimpinan hakim konstitusi Anwar Usman. Metode yang digunakan yakni kepustakaan atau biasa disebut dengan library research, dengan menggunakan berbagai literatur yang serupa, kemudian ditulis secara kualitatif deskriptif. Hasil penelitian ini adalah pertama, Anwar Usman terbukti melanggar 5 prinsip, yaitu Prinsip Ketidakberpihakan, Integritas, Kecakapan dan Keseksamaan, Independensi, serta Kepantasan dan Kesopanan. Kedua, tindakan yang dilakukan oleh Anwar Usman sangat bertolak belakang dengan dua prinsip etika kepemimpinan, yaitu kejujuran dan keterbukaan, integritas dan profesionalisme.
Kata kunci : Etika, Anwar Usman, Kepemimpinan, Mahkamah Konstitusi
Shear behavior of autoclaved aerated concrete confined masonry walls with different scales
Authors: Varela-Rivera Jorge , Cancep-Rodriguez Juan , Fernandez-Baqueiro Luis , Moreno Herrera Joel Alberto 
Published: June 2024

An experimental study on the shear behavior of autoclaved aerated concrete (AAC) confined masonry walls is presented. A total of five reduced-scale walls were tested in the laboratory under reverse lateral loads. Variables studied were the geometric scaling factor and the aspect ratio of walls. Scales considered were 1:2 and 1:3. Based on the behavior of the reduced- and corresponding full-scale walls experimental scaling factors were determined. Existing geometric scaling factors were compared with corresponding experimental scaling factors. It was concluded that geometric scaling factors can be used to predict the shear strength and maximum shear strength of walls with scales of 1:2 and 1:3. Geometric scaling factors can only be used to predict stiffness and drift ratios associated with the maximum shear strength of walls.
Water quality assessment of a Ramsar site and promising impact of phytoextraction of heavy metals by native plant species.
Authors: Sanyal Doyeli , Batra Sahil , Grewal Surinder Singh , Bhattacharjee Niladri 
Published: June 2024

Abstract

In the current study, heavy metals concentrations and physico-chemical parameters of a recognized Ramsar wetland of India in the state of Punjab were examined in the year 2023. The potential heavy metal risks to humans residing in this region were assessed by calculating various metrics viz., water quality index (WQI), hazard index, heavy metal pollution index, hazard quotient, and carcinogenic risk. The surface water was found to be non-saline, with most of the sample levels ranging from moderate to very hard. The Ropar wetland was found to have organic load in eight locations bringing the Dissolved Oxygen level below the acceptable limit and thus unfit for human drinking (6 mg L− 1). The WQI was ‘bad’ in four sites which were all close to the Wetland. The heavy metal pollution load of the surface water was found to be low as the HPI value for all the 12 sites ranged between 1.28-11.305 which might be due to the phytoextraction by the native plants. The vegetation samples of water hyacinth, vetiver grass, and Indian mustard collected from the region revealed extremely high concentrations of heavy metals being accumulated inside these species. Out of the three, wild mustard was shown to be the most efficient in accumulating heavy metals followed by vetiver grass and water hyacinth. For the majority of the sites, the Hazard Index for each of the 16 metals was higher than the acceptable limit of 1, indicating a possible risk of non-cancer hazards for adults and children through surface water consumption. The USEPA's acceptable risk limit for arsenic was exceeded thereby increasing the probability of cancer risk in both adults and children due to surface water intake, suggesting a significant risk of cancer from arsenic exposure. The findings emphasized the importance of monitoring and restoration of fragile polluted wetland ecosystems through low-cost phytoremediation techniques.
Recurrence-free Time after Pterygium Surgery with Sutureless Conjunctival vs. Conjunctival-Limbal Autograft: Is There Still a Role for Conjunctival Graft Alone?
Authors: Lucentini Stefano , Martellucci Cecilia Acuti , Rossi Luca , Sacchi Matteo , Nucci Paolo , Luccarelli Saverio 
Published: June 2024

Abstract

Background/Objective:
To compare the risk of recurrence and disease-free time after conjunctival autograft (CAG) or conjunctival-limbal autograft (CLAG) with sutureless (fibrin glue) fixation for pterygium excision.
Subjects/Methods
This is a retrospective cohort study. We reviewed the charts of 312 patients who underwent CAG and CLAG sutureless techniques between 2010 and 2019. Follow-up included visits on the 1st day, at weeks 1, 4, and 3, 6, 9, and 12 months after surgery, and every two years afterwards. The primary outcomes were the overall recurrence rate and average time to recurrence. The secondary outcomes were the rates of postoperative complications and the operation duration. Multivariate logistic regression was performed to verify the potential independent predictors of the study outcomes.
Results
265 patients were included, with a mean follow-up time of 31.5 months (maximum 8 years). The pterygium recurrence rate was significantly lower in the CLAG group at 12 months (3.9% vs. 17.4%, p < 0.001) and at the end of the follow-up (4.6% vs. 18.2%, p < 0.001). Patients with CLAG also had a longer time to recurrence (8.8 vs. 4.8 months, p = 0.012). The complications rate was lower for CLAG (0.6% vs. 10.6%, p < 0.002), while no clinically relevant differences were found in the surgery duration (23.4’ for CLAG vs. 25.2’ for CAG). Multivariate analysis confirmed these bivariate results.
Conclusions
Compared with CAG, CLAG reduced the risk and time to pterygium recurrence. Owing to the comparable surgical time and better safety profile, the CLAG technique can be considered a clinically and cost-effective approach for pterygium management.
Rational Design of Phytovirucide that Inhibits the Nucleocapsid Condensates of Tomato Spotted Wilt Virus
Authors: Song Runjiang , ning Zan , Li Jiao , Yao Jiahui , Wu Shang , Li Jianzhuan , Chen Feifei , Song Bao-An 
Published: June 2024

Abstract

Chemical management of crop failures caused by plant viruses poses serious challenges in agricultural chemistry. Recently, phase separation has emerged as a key role in the viral lifecycle, with the discovery of corresponding small molecule inhibitors in the medical field sparking significant interest. However, the applicability of this promising antiviral tactic for plant protection remains largely unknown. Herein, we have demonstrated that the aggregation of the tomato spotted wilt virus (TSWV) nucleocapsid protein (N) is regulated by RNA-induced phase separation, and disclosed a new rationally designed inhibitor Z9. Z9 is capable of binding to TSWV N at the R94 and Y184 sites, preventing the assembly of N and RNA into aggregated ribonucleoproteins through phase separation. Mutations of the binding sites substantially diminish the colocalization between N protein and processing bodies, interfering with the normal interaction of N protein with RNA. This study provides opportunities to phase separation-based anti-plant virus strategies.
A dynamic nomogram for predicting knee osteoarthritis after sports injury based on MR imaging features, demographics and clinical sport-related factors in cold regions of northern China
Authors: Zhu Jingya , Qi Miao , Yang Benqiang , Zhang Libo , shi lin , xing dengxiang , Zhang Nan , Duan Yang 
Published: June 2024

Abstract

Objectives
People who regularly participate in sports activities and those who work in certain specialized occupations are susceptible to knee injuries and have a substantially increased risk of post-traumatic knee osteoarthritis (KOA). Our aim was to develop a nomogram prediction model for the risk of KOA after sports injury based on imaging features of knee structures and demographic and clinical sport-related variables.
Methods
The modeling group included a total of 1002 patients with a complete history of knee joint sports injury admitted to the General Hospital of the Northern Theater of Surgery from January to December 2023. The patients were divided into KOA and non-KOA groups. Multivariate logistic regression analysis was used to identify risk factors, and a dynamic online nomogram prediction model for the risk of KOA after knee sports injury was constructed. Receiver operating characteristic (ROC) curve analyses, Hosmer-Lemeshow tests, and calibration plots were used to test the goodness of fit and predictive effect of the models. The prediction model was verified in an external validation cohort with a total of 429 patients with knee joint sports injuries, 145 with KOA and 284 with no KOA, admitted to the 962nd Hospital of the People’s Liberation Army (PLA) from October to December 2023.
Results
Among 1002 patients with knee joint sports injuries in the modeling group, 307 (30.64%) had KOA. Multivariate logistic regression analysis identified six factors: age, usual duration of exercise, foot strike pattern, fracture and bone contusion, meniscus injury, and cruciate ligament injury, as independent predictors of KOA after knee joint sports injury (P < 0.05). An online nomogram was constructed based on the six risk factors and the risk of KOA was quantified. The area under the ROC curve (AUC) for KOA after sports injury was 0.746 (95% confidence interval [CI], 0.721–0.768), sensitivity 0.739, and specificity 0.654. The AUC for the validation group was 0.731 (95% CI, 0.712–0.751), sensitivity 0.646, specificity 0.71. For Hosmer-Lemeshow test, P = 0.539 and 0.169, indicating that the model possesses effective discrimination and fitting effects.
Conclusion
The online dynamic nomogram prediction model we established, which includes six risk factors, among them age, exercise duration, and foot strike pattern, can better predict the risk of KOA after knee joint sports injury in a susceptible population and provides a simple quantitative evaluation tool for high-risk patients. It is helpful for the early identification of individual disease risk, timely intervention, and adjustment of training methods to provide a reference for preventive care.
Biparametric MRI-based radiomics for noninvastive discrimination of benign and malignant prostate nodules: A bio-centric retrospective cohort study
Authors: Lu Yang-Bai , Yuan Run-qiang , Su Yun , Liang Zhi-Ying , Huang Hong-Xing , Leng Qu , Yang Ang , Xiao Xue-Hong , Lai Chao-Qi , Zhang Yong-Xin 
Published: June 2024

Abstract

Background
To investigate the potential of an MRI-based radiomic model in distinguishing malignant prostate nodules from benign ones, as well as determining the incremental value of radiomic features to clinical variables, such as prostate-specific antigen (PSA) level and Prostate Imaging Reporting and Data System (PI-RADS) score.
Methods
A restrospective analysis was performed on a total of 251 patients (training cohort, n = 119; internal validation cohort, n = 52; and external validation cohort, n = 80) with prostatic nodules who underwent biparametric MRI at two hospitals between January 2018 and December 2020. The clinical model was constructed using logistic regression analysis. Radiomic models were created by comparing seven machine learning classifiers. The useful clinical variables and radiomic signature were integrated to develop the combined model. Model performance was assessed by receiver operating characteristic curve, calibration curve, decision curve, and clinical impact curve.
Results
The ratio of free PSA to total PSA, PSA density, peripheral zone volume, and PI-RADS score were independent determinants of malignancy. The clinical model based on these factors achieved an AUC of 0.814 (95%CI: 0.763–0.865) and 0.791 (95%CI: 0.742-840) in the internal and external validation cohorts, respectively. The clinical-radiomic nomogram yielded the highest accuracy, with an AUC of 0.925 (95% CI: 0.894–0.956) and 0.872 (95%CI: 0.837–0.907) in the internal and external validation cohorts, respectively. DCA and CIC further confirmed the clinical usefulness of the nomogram.
Conclusion
Biparametric MRI-based radiomics has the potential to noninvasively discriminate between benign and malignant prostate nodules, which outperforms screening strategies based on PSA and PI-RADS.
Understanding of charge relaxation dynamics of Sr doped on Gd 2 Ti 2 O 7 pyrochlore system as Electrolyte for IT-SOFCs
Authors: Ali Arshiya A. A. , Acharya Smita , Bhongale Kuldip , Shirbhate Shraddha , Kulkarni Shilpa , Joshi Shraddha 
Published: June 2024

Abstract

The pyrochlore-based system is gaining significant attention as a solid electrolyte in electrochemical energy devices, particularly solid oxide fuel cells (SOFC) due to its high oxygen-ion conductivity at the Intermediate temperature range (400−650 o C). In this study, we investigate the Gd 2 − x Sr x Ti 2 O 7 , pyrochlore system doped with strontium (Sr), where, x = 0, 0.02 and 0.04, 0.06, 0.08 and 0.1 to develop an oxygen-ion conductor as an electrolyte for intermediate temperature SOFCs (IT-SOFCs). Structural information is collected using the X-ray diffraction technique and confirms the cubic pyrochlore phase with Fd−3m symmetry accompanied by superstructure peaks (111) (311) (511) and (111) planes across all compositions. The structural data are simulated using Rietveld Refinement. Microstructural features of as-calcined and sintered samples studied by Scanning Electron Microscopy; confirm non-spherical grains with high non-uniformity in particle size distribution. of as-calcined samples and highly dense sintered samples. Elemental composition is confirmed by EDAS. Raman spectroscopy reveals detailed insights into the dopant-induced local restructuring in the Gadolinium Titanate lattice. Few intense Raman modes related to Eg+F2g and Alg involve the modulation of crystal structure through the vibration of oxygen along < 100 > cubic axis. Ionic conductivity and activation energy data are extracted through AC impedance measurements. The electric modulus study reveals the ionic relaxation and ion hopping dynamics and their effect on ionic conductivity. M'' relaxation peak and its distribution in relaxation time are analyzed using the Kohlrausch-Williams-Watts (KWW) fit. The presence of dopants induced structural deformations and oxygen vacancies in the GTO host lattice. This led to the disordering of vacancies and modifications in the stretching exponent 'β' and activation energy. Cooperative hopping dynamics through ion-vacancy interactions are found to be a notable influence on ionic conductivity. The optimized dopant composition of GSTO−4 exhibits the highest conductivity peak (σ = 4.3 x 10 − 3 S/cm@650oC). This suggests that apart from vacancy concentration and energy barriers for single-ion hopping, the cooperative dynamics of oxygen ions play a crucial role in determining the ionic conductivity values. Consequently, the GSTO−4 system demonstrates the potential for application as an electrolyte in intermediate temperature-SOFCs.
Exploring the recent trends, progresses, and challenges in the application of Artificial intelligence in water quality assessment and monitoring in Nigeria: A systematic review
Authors: Omeka Michael E. 
Published: June 2024

Abstract

In recent decades, machine learning (ML) artificial intelligence has found wide application in water quality monitoring and prediction due to the increasing complexity of water quality data. This complexity has been attributed to the global upsurge in anthropogenic activities and climatic variations. It is therefore critical to identify the most accurate and suitable ML model for water quality prediction. In this study, a systematic literature review (SLR) was carried out to explore the trend and progress in the application of ML models in water quality monitoring and prediction in Nigeria from 2003–2024. A comprehensive review of the effectiveness of advanced ML models as well as the gaps in their application in the area of water quality assessment and monitoring was also carried out using the PRISMA-P meta-analysis technique. Forty publications were used to perform bibliographic analysis and visualization using the VOS viewer software. The study found that globally, the use of hybrid ML models in water quality prediction has not been well explored; a majority of the prediction has been based on the use of artificial neural networks (ANN). Among the ANN algorithms, the adaptive neuro-fuzzy inference system (ANFIS), and Wavelet-Adaptive Neural Fuzzy Interference System (W-ANFIS) hybrid models are the most accurate in prediction; with temperature, dissolved oxygen (DO), pH, conductivity (EC), and total dissolved solids (TDS) among the most frequently predicted parameters. Nigeria is grossly lagging in the application of ML in water quality prediction. This limitation is largely attributed to inadequate data on environmental monitoring. It is critical therefore for future water quality monitoring and prediction studies in Nigeria to take advantage of the rapidly evolving field of machine learning; with more emphasis placed on the hybridized machine learning algorithms
Total Protein Determination by Recovery Fluorescence of Trinitrotoluene-Quenched protein-functionalized Gold Nanoclusters
Authors: Xia Xiaodong 
Published: June 2024

Abstract

Determination of total protein content is very important for clinical, pharmaceutical and food chemistry, and the selectivity and accuracy of the existing total protein assays should be improved. Here, a novel fluorescent sensor for total protein assay is described using near-infrared emitting fluorescent gold nanoclusters (Au NCs) prepared with egg white. Trinitrotoluene (TNT) serves as highly efficient quencher to quench the Au NCs fluorescence. Interestingly, the TNT-protein complex formed by premixing of TNT and protein-containing real samples can maintain the Au NCs fluorescence. These interesting findings provide a novel mechanism to design a fluorescence sensor to determine total protein levels in various real samples (commercial sera and food milk). With available and low-cost bovine serum albumin (BSA) serves as reference, the obtained standard curve for total protein determination indicates a linear range of 0.1 – 3.5 g L−1 with a detection limit of 0.06 g L−1 (3σ rule) and a correlation efﬁciency (R2) of 0.9850. The good performance and applicability of the proposed sensor are validated by comparison with which of the biuret assay. Comparison with the existing spectrophotometric methods, the proposed method is advantageous of simplicity, rapidity, cost-effectiveness and improved sensitivity and accuracy.
Comparison of Medical Students' Peer Assessment and Teaching Staff Assessment of Community Health Projects: Perceptions and Experiences
Authors: Mahmoud Mahmoud A , Almutairi Zaid Saud , Mahmoud Abdulrahman M , Alanazi Hind Bashir , Abdulrahman Sundus M 
Published: June 2024

Abstract

Background Public health education increasingly emphasizes experiential learning and community engagement. Peer review complements traditional staff assessment, enhancing learning outcomes and refining teaching strategies. This study aims to investigate the perceptions and experiences of medical students with peer assessment of community health projects. Staff assessment for the same projects will be used for Comparison.Methods A cross-sectional survey study involving medical students from the epidemiology and community health course at the College of Medicine, Imam Mohammad Ibn Saud Islamic University (IMSIU). Students assessed their peers' community health projects using a self-administered questionnaire. Staff evaluations were also compared. Data was analyzed by IBM SPSS 29.Results The study included 187 participants, primarily medical students (98.3%), who evaluated 20 community health projects. Additionally, three teaching staff members also rated the same projects. Medical students ranked effort expended (4.34), topic importance (4.26), and obvious participation (4.26) in descending order of value. The staff evaluated the relevance of the topic as the highest (4.43), but they rated the tools as lower (3.9). Medical students ranked tools sufficiency significantly higher with mean of (4.16 vs. 3.90) than staff (p < 0.05). Both groups evaluated the project's level of innovation and the clarity of its target audience in a comparable manner. The analysis of the Full Project Level indicated that there was no substantial disparity between medical students and staff, as evidenced by the p-value of 0.920.Conclusion This study validates that peer assessment of student projects is equally effective as assessment conducted by faculty members. Consequently, it is justifiable to allocate resources towards enhancing peer students' learning and assessment capabilities.