bluuebunny/crossref_metadata_2025_split huggingface dataset:
Construction and Classification Prediction of Risk Assessment Iindicators for Water Environment Treatment PPP Projects
Authors: Yang Ruijia , Feng Jingchun , Sun Yong 
Published: April 2023

Abstract
Water pollution control is crucial for ecological environmental safety and sustainable socio-economic development. Public Private Partnership (PPP) collaboration is an important approach for water pollution control, but it faces numerous risks. Accurately assessing and predicting these risks is essential for ensuring effective water pollution management. This study aims to develop an effective risk classification prediction model for water environment treatment PPP projects, addressing the limitations of traditional methods. First, based on the relevant research on the risk assessment system for water environment treatment PPP projects, a risk data feature set of water environment treatment PPP projects consisting of four subsystems, namely, natural environment, ecological environment, socio-economic, and engineering entity, is proposed. Second, the association between different feature indicators and project risk levels is analyzed from a statistical perspective, and the contribution value of risk features is obtained. Then, an ensemble learning model based on Stack-ing is established to predict the risks of water environment treatment PPP projects. To improve the model's performance, a weighted voting mechanism is designed by introducing weight factors to adjust the relative importance of base learners during the voting process, allowing the model to better exploit the differences between base learners and improve prediction accuracy. Finally, an empirical analysis is conducted on the Phase I project of the comprehensive management of the water environment system in the central urban area of Jiujiang City, China, verifying the effectiveness and accuracy of the risk assessment system and evaluation model constructed in this study. Experimental results show that the constructed Water Environment Treatment Project Risk Support Vector Machine (WETPR-SVM) model outper-forms other traditional single machine learning classification models in terms of accuracy, macro-average precision, macro-average recall, and macro-average value, providing an effective method for risk classification prediction of water environment treatment PPP projects.
NEIL3 promotes the proliferation of ccRCC via the cyclin D1-Rb-E2F1 feedback loop regulation
Authors: Zhang Mengzhao , Wang Jichang , Yue Yangyang , Liu Wei , Wang Lu , Li Yan , Wu Shiqi , Wang Weiyi , Jiang Yunzhong , Yang Zezhong , Ma Minghai , Lu Shaoying , Fan Jinhai 
Published: April 2023

Abstract
Backgrounds: Nei endonuclease VIII-like 3 (NEIL3), a novel tumor-related gene, was differentially expressed and involved in pathophysiological processes in multiple tumors. However, the potential biological functions and molecular mechanisms of NEIL3 in human clear cell renal cell carcinoma (ccRCC) have not been identified.Methods The expression pattern and prognostic value of NEIL3 in ccRCC patients were analyzed in multiple comprehensive databases and validated by qRT-PCR, western blotting analysis, immunohistochemistry, and tissue chips. The regulatory mechanisms were verified by the GSEA analysis, chromatin immunoprecipitation, dual-luciferase reporter gene, and immunofluorescence assay. The oncogenic effect of NEIL3 in ccRCC was confirmed by MTT assay, colony formation assay, tumorsphere assay, cell flow cytometry analysis, and xenograft tumor models.Results Nei endonuclease VIII-like 3 (NEIL3), a novel tumor-related gene, was highly expressed in ccRCC and positively correlated with adverse clinicopathological characteristics and worse prognosis. Mechanistically, we demonstrated that NEIL3 promoted cell proliferation and cell cycle progression in vitro and tumor growth in vivo. Furthermore, we found that NEIL3 overexpression activated the cyclin D1-Rb-E2F1 pathway. The E2F1 elevation then promoted the proliferation, cell cycle transition, and the NEIL3 expression, thus forming a feedback loop of the NEIL3-E2F1 axis to contribute to ccRCC progression. In addition, there was a positive correlation between NEIL3 and E2F1 expression in clinical specimens of ccRCC.Conclusion NEIL3 and cyclin D1-Rb-E2F1 pathway form a positive feedback loop and coordinately contribute to ccRCC progression. NEIL3 presents as a novel candidate for ccRCC diagnosis and treatment.
Genome-wide identification and comparative analysis of elongation of very long-chain fatty acid (Elovl) genes in echinoderms
Authors: Liu Meng-Yu , Li Jia-Qi , Zhang Dong , Mu Jin-Hua , Shen Xu-Hong 
Published: April 2023

Abstract

Elongation of very long-chain fatty acid (Elovl) proteins is the critical rate-limiting enzyme that catalyzes the biosynthesis of long-chain polyunsaturated fatty acids (LC-PUFAs). Echinoderms are extremely important research objects in various fields, such as regeneration studies and developmental biology. However, to date, the genome-wide characterization and analysis of Elovl genes in echinoderms have not been investigated. In this study, the identification and analysis of Elovl genes in 10 representative echinoderms were performed using bioinformatics methods. A total of 117 Elovl genes have been found in the studied echinoderms. The phylogenetic tree showed that all Elovl genes from echinoderms can be subdivided into 6 classes, Elovl3-like class, Elovl4-like class, Elovl5-like class, Elovl6-like class, Elovl7-like class, and Elovl8-like class. Furthermore, the selection pressure analysis suggested that Elovl genes in echinoderms were mainly constrained by strong purifying selection events. In general, this study provides a molecular basis for echinoderm Elovl genes and may serve as a reference for in-depth phylogenomics.
Comparison of joint awareness after total knee arthroplasty, medial unicompartmental knee arthroplasty, and high tibial osteotomy: a retrospective study
Authors: Huang Yiwei , Ge Hao , Peng Bo , Feng Wenjun , Zhang Haitao , Zeng Yirong 
Published: April 2023

Abstract

Introduction:This study aimed to compare the Forgotten Joint Score-12(FJS) outcomes after high tibial osteotomy (HTO), unicompartmental knee arthroplasty (UKA), and total knee arthroplasty (TKA) with short-term follow-up (at least 2 years). We hypothesized that there would be differences in subjective outcomes between the three procedures as measured by FJS.Methods:Patients who underwent HTO, UKA, and TKA from January 2016 to December 2020 and were followed up for a minimum of 2 years were included in the study. Patient were asked to complete the FJS and Knee Injury and Osteoarthritis Outcome Scores (KOOS) questionnaires. The preoperative and postoperative clinical outcomes were compared and evaluated the patient-related factor. The FJS scores were predicted using multiple linear regression analysis. In addition, we used Patient’s Joint Perception (PJP) questions as anchors to determine whether achieve the forgotten joint and FJS thresholds were calculated using the receiver operating characteristic curve.Results:391 patients were included in the final study, and there were 111 patients in HTO groups,128patients in UKA groups, and 150 patients in TKA groups. The mean follow-up was 47.0 months. There was a significant difference in the total FJS between the HTO, UKA, and TKA groups (p <0.001).In multiple linear regression, younger age, and higher Function Score (FS) were significant predictors of better FJS.we found the thresholds of the FJS of HTO, UKA, and TKA were 63.54, 69.79, and 61.45, respectively.Conclusion:Medial UKA was associated with superior patient awareness compared to HTO and TKA as measured by FJS.
Development of a method for compressing the information content of the results of the continuation power flow analysis
Authors: Bislimi Agron 
Published: April 2023

Abstract
In this work is developed a method for compressing the information content of the results of the CPF analysis. MATLAB was used as the calculation tool, which made it possible to display the results graphically in a simple manner. In this paper is presented schematically the created algorithm, and then through an example in a theoretical and practical way it is explained step by step by reading the schematics of the algorithm. Synthetic high-voltage grids with 2 to 17 nodes served as test systems. The development of software that can be used for any network will be the subject of future work. The investigations revealed the following advantages of the CPF. It enables the analysis of the system behaviour both in the stable and the unstable area of the system under investigation. The CPF thus provides "exact" information about the load level at which the voltage collapse occurs. This result can be considered "exact" if there is a consensus that the phenomenon of voltage collapse can be described by a stationary approach. Finally, the CPF analyses (PV curve) results are easy to interpret with appropriate graphic processing. Results of voltage stability analyses are presented. The voltage magnitudes and voltage angles are graphically displayed depending on the load for all networks calculated using CPF (from 2 nodes to 17 nodes).
Causally probing the role of the human hippocampus in fear discrimination: A precision functional mapping guided TMS study in individuals with post-traumatic stress symptoms
Authors: Webler Ryan D , Carrasco Cristian , Cooper Samuel , Chen Mo , Hunt Christopher , Hennessy Sierra , Cao Lancy , Lam Carol , Chiu Allen , Differding Cash , Todd Erin , Hendrickson Timothy , Oathes Desmond , Widge Alik , Hermosillo Robert , Nelson Steve , Fair Damien , Lissek Shmuel , Nahas Ziad 
Published: April 2023

Abstract
Fear overgeneralization is a potential pathogenic mechanism of anxiety-related disorders. A dominant model posits that overgeneralization occurs when the hippocampus fails to distinctly encode benign stimuli with insufficient similarity to previously encountered fear cues, triggering excessive retrieval of stored fear representations. This model has cross-species support but has not been causally tested in humans. A developing literature demonstrates that hippocampal network targeted transcranial magnetic stimulation (HNT-TMS) can strengthen hippocampal-dependent memory encoding. Building on this literature, we hypothesized that HNT-TMS would strengthen encoding of perceptually similar stimuli and thereby reduce retrieval errors (i.e., sharpen discrimination) in participants with post-traumatic stress symptoms. We predicted that this effect would emerge for fear stimuli as measured by the Farmer Task and neutral stimuli as measured by the Mnemonic Similarity Task. Continuous theta-burst stimulation (cTBS) was delivered to individualized left posterior-parietal targets derived via precision functional mapping, seed-based connectivity, and electric-field modeling methods. A vertex control target was also stimulated in a within-subject design (final N = 25). Multilevel models did not reveal significant interactions between stimulation target and fear or neutral stimulus discrimination. However, HNT-TMS strengthened fear discrimination in participants with lower sensitization, indexed by responsivity to a control stimulus perceptually unrelated to the CS+. Sensitization reflects indiscriminate fear responding unrelated to CS + similarity and is not expected to engage the hippocampal CS + matching function. Our findings therefore indicate that HNT-TMS may selectively sharpen fear discrimination when the hippocampal CS + matching function is more strongly engaged.
Triclosan-antibacterial sutures impact on the incidence of surgical site infection in laparoscopic sleeve gastrectomy, laparoscopic appendectomy, or laparoscopic cholecystectomy: a multicenter, double-blind, randomised study
Authors: Erfan Moatasem A. , Thabet El Ashraf , Mohy Sara M. , Alwardany Ibrahim N. 
Published: April 2023

Abstract
The authors have requested that this preprint be removed from Research Square.
Precise Dynamic Resource Allocation for Virtualised Network Functions
Authors: Chapanduka Godwin Thomas Samuel , Olwal Thomas Otieno , Kurien Anish Mathew 
Published: April 2023

Abstract
The chaining and optimal placement of Virtual Network Functions (VNFs) in a static network has been extensively discussed and investigated. However a key trend of current network evolution is towards network softwarisation which is targeted at addressing the exponential growth in traffic demand that is causing progressive congestions in today’s Communication Service Providers (CSPs) networks. In network softwarisation, VNFs are being deployed as part of complex network service chains, containing multiple VNFs distributed across multiple points of presence (PoPs). VNFs are instantiated and resources have to be precisely allocated dynamically on-demand otherwise this can lead easily to either bad quality of service or waste of resources if too few or too many are allocated. To mitigate the challenges, we propose a Precise Dynamic Resource Allocation (PDRA) model which is a machine learning-based dynamic resource allocation targeted at adequately allocating VNF resources. The model has the following components: VNF profiling, VNF performance measurement, machine learning training and VNF auto scaling and placement. In comparison to standard fixed resource allocation, our model significantly addresses VNF under and over allocation of resources resulting in low latency and improved service quality.
The effect of isotonic drink on heart rates recovery after pencak silat activity: a study on female students in an islamic boarding school
Authors: Hadjarati Hartono , Massa Resa Sukardi 
Published: April 2023

The aim of this study was to examine the effect of isotonic drinks on students’ heart rates. This experimental research relied on a randomized pretest–posttest control group design; it consisted of one control group (t1) and one treatment group (t2). All participants were treated with the same exercise protocol including endurance training specifically for the branches of pencak silat (exercise straight kick techniques, scythe while hitting). The control group consumed mineral water, while the treatment group was provided with an isotonic drink after exercise. Following the treatment phase was the calculation of participants’ heart rates for one minute; this process was replicated three times: before the exercise (T1), 60 to 90 minutes after the exercises (T2), and 10 minutes after the exercise interval (T3). All data were analyzed using a T-test. The results revealed that the initial heart rates of the control and treatment groups were 72.6 ± 10.36 and 66.3 ± 8.60, respectively. In other words, there were no differences between the two groups. The initial heart rates of the control group control and treatment group after the exercise was 159.2 ± 10.48 and 149.0 ± 8.59, respectively. According to the t-test results, there was a difference (p 0.05) in the heart rates of the control group and treatment group after the exercises. The initial heart rates of the control group control and treatment group after the exercise interval was 76.2 ± 11.0 and 65.9 ± 8.62, respectively. The t-test results reported a difference (p 0.05) in the heart rates of the control group and treatment group after the exercise interval of 10 minutes. Isotonic drinks significantly to heart rates recovery after pencak silat exercise of female students.
An Unguided, Computerized Cognitive Behavioral Therapy Intervention (TreadWill) in a Lower Middle-Income Country: Pragmatic Randomized Controlled Trial
Authors: Ghosh Arka , Cherian Rithwik J , Wagle Surbhit , Sharma Parth , Kannan Karthikeyan R , Bajpai Alok , Gupta Nitin 
Published: April 2023

Background
Globally, most individuals who are susceptible to depression do not receive adequate or timely treatment. Unguided computerized cognitive behavioral therapy (cCBT) has the potential to bridge this treatment gap. However, the real-world effectiveness of unguided cCBT interventions, particularly in low- and middle-income countries (LMICs), remains inconclusive.

Objective
In this study, we aimed to report the design and development of a new unguided cCBT–based multicomponent intervention, TreadWill, and its pragmatic evaluation. TreadWill was designed to be fully automated, engaging, easy to use, and accessible to LMICs.

Methods
To evaluate the effectiveness of TreadWill and the engagement level, we performed a double-blind, fully remote, and randomized controlled trial with 598 participants in India and analyzed the data using a completer’s analysis.

Results
The users who completed at least half of the modules in TreadWill showed significant reduction in depression-related (P=.04) and anxiety-related (P=.02) symptoms compared with the waitlist control. Compared with a plain-text version with the same therapeutic content, the full-featured version of TreadWill showed significantly higher engagement (P=.01).

Conclusions
Our study provides a new resource and evidence for the use of unguided cCBT as a scalable intervention in LMICs.

Trial Registration
ClinicalTrials.gov NCT03445598; https://clinicaltrials.gov/ct2/show/NCT03445598
Implementation Cascade of a Social Network–Based HIV Self-testing Approach for Men Who Have Sex With Men: Cross-sectional Study
Authors: Kwan Tsz Ho , Chan Denise Pui Chung , Wong Samuel Yeung-shan , Lee Shui Shan 
Published: April 2023

Background
HIV testing is the cornerstone of strategies for achieving the fast-track target to end the AIDS epidemic by 2030. Self-testing has been proven to be an effective health intervention for men who have sex with men (MSM). While social network–based approaches for distributing HIV self-tests are recommended by the World Health Organization, their implementation consists of multiple steps that need to be properly evaluated.

Objective
This study aimed to assess the implementation cascade of a social network–based HIV self-test approach for reaching MSM who had never undergone testing in Hong Kong.

Methods
This is a cross-sectional study. Seed MSM participants were recruited through different web-based channels, who in turn invited their peers to participate in this study. A web-based platform was set up to support the recruitment and referral process. Participants could request for an oral fluid or a finger-prick HIV self-test, with or without real-time support, after completing a self-administered questionnaire. Referrals could be made upon uploading the test result and passing the web-based training. Characteristics of participants completing each of these steps and their preferences for the type of HIV self-test were evaluated.

Results
A total of 463 MSM were recruited, including 150 seeds. Participants recruited by seeds were less likely to have previously been tested for HIV (odds ratio [OR] 1.80, 95% CI 1.06-3.04, P=.03) and have lower confidence in performing self-tests (OR 0.66, 95% CI 0.45-0.99, P=.045). Almost all (434/442, 98%) MSM who completed the questionnaire requested a self-test, of whom 82% (354/434) had uploaded their test results. Participants requesting support were new to self-testing (OR 3.65, 95% CI 2.10-6.35, P<.001) and less confident in carrying out the self-test correctly (OR 0.35, 95% CI 0.22-0.56, P<.001). More than half (216/354, 61%) of the eligible participants initiated the referral process by attempting the web-based training with a passing rate of 93% (200/216). They were more likely to have sought sex partners (OR 2.20, 95% CI 1.14-4.25, P=.02), especially through location-based networking apps (OR 2.13, 95% CI 1.31-3.49, P=.002). They also gave higher usability scores along the implementation cascade (median 81 vs 75, P=.003).

Conclusions
The social network approach was effective in diffusing HIV self-tests in the MSM community and reaching nontesters. Support and option to choose a preferable type of self-test are essential to address users’ individual needs when delivering HIV self-tests. A positive user experience throughout the processes along the implementation cascade is vital to transform a tester into a promoter.

Trial Registration
ClinicalTrials.gov NCT04379206; https://clinicaltrials.gov/ct2/show/NCT04379206
Application of Biochar and Poschar from Several Types of Animal Manure on the Growth and Yield of Red Chili Plants (Capsicum annuum L.)
Authors: Rematwa Afelinus , Yohanes Parlindungan Situmeang  , Made Suarta  
Published: April 2023

This study aims to determine the effect of doses of biochar and various types of poschar and their interactions on the growth and yield of red chili plants. This research was conducted in Buduk village, Mengwi sub-district, Badung district at an altitude of 65 meters above sea level. This research activity took place from April to July 2021. The design used in this study was a factorial randomized block design (RBD) consisting of 2 treatment factors. The first factor is the dose of biochar (B) which consists of 2 levels (0 and 15 tons/ha), while the second factor is the type of poschar (P) which consists of 3 levels (without poschar, beef poschar, and goat poschar). The results showed that the interaction between the dose of biochar and the type of poschar (BxP) had a significant effect on the number of leaves and fruit number, fruit weight and had a very significant effect on stem diameter, but had no significant effect on plant height, number of productive branches, fruit length, and diameter. fruit per plant. Biochar treatment had a very significant effect on the variables of plant height, number of leaves, and fruit weight per plant and significantly affected the number of fruits, number of productive branches per plant, and fruit length per plant but had no significant effect on stem diameter. Poschar application showed no significant effect on all observed variables except for plant height which had a significant effect. The highest fresh weight of chili fruit per plant was obtained from the interaction of chicken biochar with no poschar, which was 1326.20 g, followed by the interaction between chicken biochar and goat's poschar, which was 1297.85 g, and the interaction between chicken biochar and beef poschar, which was 1081.71 g which increased by 114.11%, 109.53%, and 74.64% respectively compared to the interaction between the treatment without biochar and without poschar which was 619.41 g.
Penanaman Nilai Karakter sebagai Upaya Mereduksi Dampak Negatif Era Digital
Authors: Syur’aini Syur’aini , Setiawati Setiawati , Sunarti Vevi 
Published: April 2023

Today we have been in the digital era, but many people are not aware of it so that errors often occur in the use of digital devices. Everywhere can be witnessed the fun of playing gaged especially for the younger generation and students so that the time is spent on playing online games. Actually, there are many advantages that can be gained in this era, but the weakness is far more and dangerous if it is not regulated in its use. For this reason, a solution is needed in the form of teacher collaboration with parents in educating children. Keyword; digital era, character