bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modeling canopy water content in the assessment for rainfall induced surface and groundwater nitrate contamination index from cropland N-fertilizer in Bilate downstream
Authors: Assa Bereket Geberselassie , BhowmicK Anirudh , Elias Bisrat 
Published: January 2023

AbstractCrop canopy water content and crop root zone soil water content have been predicted and observed for estimation of crop water balance for the rainy season nitrate runoff and leaching index of the Bilate watershed cropland. For the calibration of earth data observation, the watershed rain gauge station estimated the pattern of rainfall for the main cropping season of crop growth. Cropping season (Apr, May and Jun) monthly mean rainfall between (125mm/month to 165 mm/month) of agro metrological station has predicted time series crop canopy water in the analysis for crop land nitrate-nitrogen leaching/runoff index for the quantification of groundwater and surface runoff nitrate from the Bilate watershed farming zone. May and June were the months in which crops grew in the cropland of the study area, as indicated by the crop biomass statistics from MODIS 006 MOD13Q1-EVIof (Mine 0.19 and Max, 0.57) which is the average crop coefficient Kc for crop growth curve analyzed for model crop parameter. Hyper-spectral indices derived from enhanced vegetation indices (EVI) have been calculated for the analysis of crop zonal biomass statistics (kc) and integrated into the prediction model. The objective of the current research was to predict crop canopy water content in order to determine crop water balance for farmland Nitrogen Nitrate (NO− 3-N) runoff\leaching index for surface and groundwater pollution in the Bilate downstream. The overall predicted result of crop canopy water content has been validated with a regression coefficient (R2) with observed crop root zone soil water content. And the crop land nitrogen balance has been used to confirm the nitrate-nitrogen leaching and runoff index for the study area by comparing the current result with the crop land nitrogen balance.
Performance of Seismically Design Special Moment Resisting Steel Frame against Progressive Collapse as per Indian standard
Authors: Pujari Atul B. , Sangle Keshav K 
Published: January 2023

Abstract
U.S. General Service Administration (GSA), 2013 guideline were used in the progressive collapse analysis of seismically designed three-dimensional special moment resistant frame. The analysis was carried out to assess the vulnerability of low-rise, mid-rise and high-rise three-dimensional special moment resistant frame with six bays in either direction. All the structures considered for this study were designed according to the Indian Standard codes. To evaluate the behaviour of the structure, linear static analysis (LSA), non-linear static analysis (NLSA), linear dynamic analysis (LDA) and non-linear dynamic analysis (NLDA) have been carried out by using Alternate Path Method (APM) for column removal at the critical locations based on these guidelines. The results show negligible displacement versus time history when compared between LDA and NLDA. It also reveals that the removal of the internal column leads to less vibration when compared to the other two locations during sudden removal. The height of the structure will largely affect the behaviour of the structure during any sudden column removal.
Negative conversion, lymphocyte/monocyte ratio, and bilirubinemia in COVID-19 with mental disorders
Authors: Sun Yang , Lin Ping , Li Qingtian , Zhou Xiaoliang , Wang Jinxin , Li Yi , Guo Xiaokui , Shi Yun , Li Dan , Lou Xiaoyan , Li Zhenhua , Li Ping , Jin Weifeng , Chen Shuzi , huang Yuji , li Li , Cheng Xunjia , Sun Jing 
Published: January 2023

Abstract
This retrospective study explored the changes in biomarkers indicators and prognosis in COVID-19 patients with mental disorders (n = 60) from the author’ Hospital between 2/13/2020 and 4/15/2020. Significant differences before and after negative conversion were observed in lymphocytes, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, aspartate aminotransferase, albumin, albumin/globulin ratio, direct bilirubin, alkaline phosphatase, uric acid, high-density lipoprotein cholesterol, and ApoA1 (all P < 0.05). Compared with the patients who had a negative conversion within 3 weeks, those who did not turn negative within 3 weeks had a higher frequency of cardiovascular diseases (27.3% vs. 4.2%, P = 0.040), a higher lymphocyte-to-monocyte ratio (median, 4.72 vs. 3.35, P = 0.003), and higher total bilirubin levels (median, 12.0 vs. 8.6 µmol/L, P = 0.031). The results present the changes in laboratory parameters in COVID-19 patients with a mental disorder. Cardiovascular diseases and higher lymphocyte-to-monocyte ratio, and total bilirubin levels could be associated with the amount of time required for negative conversion.
Diagnostic Accuracy of Neutrophil Gelatinase-associated Lipocalin (NGAL) in Periprosthetic Joint Infection: A Meta-analysis
Authors: WANG Huhu , HE Jiaming , LI Hongwei , DING Shuai , HU Qiaolong , FU Ting 
Published: January 2023

Abstract
Background: Periprosthetic joint infection(PJI) is a catastrophic complication after arthroplasty and is currently challenging to diagnose. A large number of diagnostic biomarkers have been used for the diagnosis of PJI. Neutrophil gelatinase-associated lipocalin(NGAL) is a novel diagnostic biomarker for PJI, and its diagnostic efficacy remains to be investigated. The purpose of this study is to investigate the value of NGAL in the diagnosis of PJI.
Methods: Six databases, including Cochrane Library, Scopus, OVID, PubMed, Web of Science, and Embase, were searched for literature related to NGLA in the PJI diagnosis from the inception to December 25, 2022. The diagnostic accuracy of NGAL was evaluated by pooled sensitivity, specificity, positive likelihood ratio(PLR), negative likelihood ratio(NLR), diagnostic odds ratio(DOR), and the area under the summarized receiver operating characteristic curve(AUSROC).
Results: A total of seven studies were included in the meta-analysis, with 201 PJIs and 299 aseptic revisions. The pooled sensitivity, specificity, PLR, NLR, DOR, and AUSROC of NGLA were 0.93(95%CI, 0.88-0.96), 0.93(95%CI, 0.89-0.96), 13.65(95%CI, 4.64-40.18), 0.09(95%CI, 0.04-0.21), 202.89(95%CI, 39.00-1055.53), 0.973, respectively.
Conclusion: This study shows that NGLA is an excellent diagnostic biomarker for diagnosing PJI. NGLA can be applied to the clinical diagnosis of PJI in the future.
Performance analysis of channels coding and space time trellis codes on free-space fading channel for diversity coding free-space optics under atmospheric turbulences
Authors: Elsayed Ebrahim E. 
Published: January 2023

Abstract
In this Paper we review and analyze space time trellis codes with & without ideal beam forming for the free-space optics (FSO) under atmospheric turbulences. Space time trellis code with ideal beam forming at transmitter termed as weighted space. Smart antenna technology provides a wide variety of options, ranging from single-input,multiple-output (SIMO) architectures that collect more energy to improve the signal to noise ratio (SNR) at the receiver, to multiple-input, multiple-output (MIMO) architectures that open up multiple data pipes over a link. Atmospheric turbulence can cause signiﬁcant performance degradation in free space optical communication systems. An efﬁcient solution could be to exploit the temporal diversity to improve the performance of the FSO- transmission link.
Robot Recruiting
Authors: Stöcklin Fabia 
Published: January 2023

Nach Jahren intensiver Forschung ist die Entwicklung von Künstlicher Intelligenz («KI») an einem Punkt angelangt, an dem der Einsatz von KI-Software auch im Arbeitsprozess immer alltäglicher wird. Besonders im Stadium des Bewerbungsverfahrens kam es diesbezüglich in jüngster Zeit aufgrund verschiedenster Medienberichte immer wieder zu Diskussionen, insbesondere im Hinblick auf die Haftung der KI-einsetzenden Arbeitgeber. Der Gesetzgeber hat bis dato auf eine explizite rechtliche Regelung verzichtet. Aus diesem Grund wird im Folgenden aufgezeigt, ob beziehungsweise wann ein Arbeitgeber aufgrund der heute bestehenden Gesetzeslage für den Einsatz oder eine Handlung einer KI im Bewerbungsprozess haftbar gemacht werden kann.
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Après des années de recherche intensive, le développement de l'intelligence artificielle ("IA") a permis de rendre l'utilisation de logiciels d'IA de plus en plus courante, y compris dans le monde du travail. Selon certains médias, la phase d'embauche est particulièrement controversée, notamment en ce qui concerne la responsabilité de l'employeur qui utilise l'IA. Jusqu'à présent, le législateur a renoncé à une réglementation juridique spécifique. Nous allons donc examiner ici, sur la base de la situation juridique actuelle, dans quelles conditions un employeur peut être tenu pour responsable de l'utilisation ou de l'action d'une IA dans le cadre d'une procédure de recrutement.
Networked control system stability analysis of pipeline system with networked-induced delay
Authors: Rosa Muhammad Ridho , Susanto Erwin , Hassan Mohd Fadzil 
Published: January 2023

This paper presents the design of Networked Control Systems (NCS) for pipeline systems. NCS plays an important role in controlling and monitoring large-scale systems such as pipeline systems. To implement the NCS, one must derive the pipe model and consider the network communication constraints. Here, the pipeline model is divided into two sections for simplicity. For example, in a long pipeline system, one can use a higher number of sections in order to give a better result for the analysis. Then let’s consider a networked-induced delay as the network communication constraint. The discretize pipe dynamics model is derived to support the NCS scheme in the pipeline system. The stability analysis of the proposed NCS is derived by taking into account the small and the large networked-induced delay. Then the optimal LQR control is designed for both stabilizing and tracking. The stability region of the pipeline system in the NCS scheme with networked-induced delay is derived and depicted to provide stability information. The design of the proposed controller under network constraint (networked-induced delay) must consider the stability plot that is divided into the stable region and unstable region. In this research, let’s assume that it is possible to measure the exact time delay and then consider the allowable sampling time for the controller. The proposed controller is designed by considering the NCS scheme with time delay both for regulator and tracking problems. By using the proposed controller, the pipeline system can be controlled in the presence of network-induced delay, which commonly occurs in a distributed system. The simulation verifies the stability analysis of the proposed optimal control for the pipeline systems with the NCS scheme under networked induced delay
Application of a PCA-based fault detection and diagnosis method in a power generation system with a 2 MW natural gas engine
Authors: Cardenas Yulineth , Carrillo Gaylord , Alviz Anibal , Alviz Antistio , Portnoy Ivan , Fajardo Juan , Ocampo Eric , Da-Costa Edson 
Published: January 2023

Based on increasing global energy demand, electric power generation from Internal Combustion Engines (ICE) has increased over the years. On this idea, the industries have adopted different methods and procedures to prevent failures in these engines, achieve an extension of the life cycle of the machines, improve their safety, and provide financial savings. For this reason, this work implements a methodology for detecting and identifying failures in a natural gas engine (JGS 612 GS-N. L), based on the integration of Principal Component Analysis (PCA) and alarm streak analysis.
A method used to describe a data set in terms of new uncorrelated variables or components. The components are ordered by the amount of original variance they describe, making the technique useful for reducing the dimensionality of a data set.
Technically, PCA searches for the projection according to which the data are best represented in terms of least squares, using the T2 and Q statistics. In the initial stage, a PCA-based algorithm was developed to detect abnormal process trends and identify the variables of greater impact when these anomalies arise. In the next stage, an algorithm was developed and implemented, based on the analysis of alarm streaks, to identify the system’s behavior and thus classify fluctuations into either normal operating condition drifts or system failures. The application of the proposed methodology with real operation data of the engine (JGS 612 GS-N. L) shows that the method outperforms operators in detecting and identifying faults, as it performs these tasks considerably earlier than operators.
Study on Molecular Anti-tumor Mechanism of 2-Thiohydantoin Derivative
based on Molecular Docking and Bioinformatic Analyses
Authors: Al-Shawi Ali AbdulWahid AbdulHussein , El-Arabey Amr Ahmed , Mutlaq Dakhil Zughayir , Eltayb Wafa Ali , Iriti Marcello , Abdalla Mohnad 
Published: January 2023

Objective:
Several methods for synthesizing 2-thiohydantoin derivatives have been devised and exploited, and they have found widespread application as antioxidants, antimicrobials, antivirals, and anticancer agents. As a result, we tried to understand the underlying processes of the 2-thiohydantoin derivative's anti-LIHC activity.

Methods:
We predicted the anticancer mechanism of N-(4-oxo-5-(2-oxo-2-(p-tolylamino)ethyl)-3-phenyl-2-thioxoimidazolidin-1-yl)benzamide as a derivative of 2-thiohydantoin by utilizing molecular docking and molecular dynamic simulation. Furthermore, based on the results of molecular dynamic modelling, we employed bioinformatics to anticipate the immunotherapy of this molecule in the tumor microenvironment (TME) of Liver Hepatocellular Carcinoma (LIHC) patients. Next, we examined how this derivative affected proliferation, cell cycle progression, reactive oxygen species production, and apoptosis in HepG2 cancer cells.

Results:
Substantially, our investigation revealed that the IC50 value was 2.448 µM and that it arrested the cell cycle of HepG2 in the S phase. Furthermore, molecular docking and dynamics studies revealed a worthy interaction of this compound with AKT1 and CDK2 proteins. Considerably, AKT1 and CDK2 have negative affinity energies of -10.4 kcal/mol and -9.6 kcal/mol, respectively. Several bioinformatic tools were used in this investigation to provide insight into the future clinical application of this derivative as a novel candidate to target immune cells such as macrophages, neutrophils, eosinophils, and CD8+ T cells.

Conclusion:
The relevance of this 2-thiohydantoin derivative was demonstrated by our experimental tests, docking studies, and bioinformatics analysis, and it may be investigated as a lead molecule for anticancer medicines, notably as AKT1 and CKD2 inhibitors.
Network Analysis of Anti-inflammatory Phytochemicals and Omics Data
for Rheumatoid Arthritis
Authors: Nathan Bharathi , Prabahar Archana , Mohammed Sudheer 
Published: January 2023

Background:
Rheumatoid arthritis (RA) is an inflammatory autoimmune disease that
affects the synovial joints. Nearly 1.6 billion patients are affected by RA worldwide and the incidence
of RA is about 0.5 to 1%. Recent studies reveal that immune cell responses and secretion of
inflammatory factors are important for the control of RA.

Methods:
In this study, a set of 402 phytochemicals with anti-inflammatory properties and 16 target
proteins related to anti-inflammatory diseases were identified from the literature and they were
subjected to network analysis. The protein-protein interaction (PPI) network was constructed using
STRING (Search Tool for the Retrieval of Interacting Genes database) database. Visualization
of the target gene-phytochemical network and its protein-protein interaction network was conducted
using Cytoscape and further analyzed using MCODE (Molecular Complex Detection). The
gene ontology and KEGG pathway analysis was performed using DAVID tool.

Results:
Our results from the network approach indicate that the phytochemicals such as Withanolide,
Diosgenin, and Butulin could act as potential substitute for anti-inflammatory drugs, including
DMARDs. Genes such as Mitogen-activated protein kinase (MAPK) and Interleukin were found as hub
genes and acted as best inhibitors for the target protein pathways. Curcumin, Catechin was also found to
be involved in various signaling pathways such as NF-kappa B signaling pathway, ErbB signaling
pathway and acted as the best inhibitor along with other candidate phytochemicals.

Conclusion:
In the current study, we were able to identify Withanolide, Diosgenin, and Butulin as
potential anti-inflammatory phytochemicals and determine their association with key pathways
involved in RA through network analysis. We hypothesized that natural compounds could significantly
contribute to the reduction of dosage, improve the treatment and act as a therapeutic agent
for more economical and safer treatment of RA.
A Technology-Supported Guidance Model to Support the Development of Critical Thinking Among Undergraduate Nursing Students in Clinical Practice: Concurrent, Exploratory, Flexible, and Multimethod Feasibility Study
Authors: Zlamal Jaroslav , Roth Gjevjon Edith , Fossum Mariann , Steindal Simen A , Nes Andréa Aparecida Gonçalves 
Published: January 2023

Background
There is widespread recognition and acceptance of the need for critical thinking in nursing education, as it is necessary to provide high-quality nursing. The Technology-Supported Guidance Model (TSGM) intervention was conducted during clinical practice among undergraduate nursing students and aimed to support the development of critical thinking. A major element of this newly developed intervention is an app, Technology-Optimized Practice Process in Nursing (TOPP‑N), combined with the daily guidance of nursing students from nurse preceptors and summative assessments based on the Assessment of Clinical Education.

Objective
The main objective of this study was to assess the feasibility of a newly developed intervention, TSGM, among undergraduate nursing students, nurse preceptors, and nurse educators. Further objectives were to assess the primary and secondary outcome measures, recruitment strategy, and data collection strategy and to identify the potential causes of dropout and barriers to participant recruitment, retention, intervention fidelity, and adherence to the intervention.

Methods
This study was designed as a concurrent, exploratory, flexible, and multimethod feasibility study of the TSGM intervention that included quantitative and qualitative data from nursing students, nurse preceptors, and nurse educators. The primary outcome measures were the feasibility and acceptability of the intervention. The secondary outcomes included the suitability and acceptance of the outcome measures (critical thinking, self-efficacy, clinical learning environment, metacognition and self-regulation, technology acceptance, and competence of mentors); data collection strategy; recruitment strategy; challenges related to dropouts; and hindrances to recruitment, retention, and intervention fidelity and adherence.

Results
Nursing students, nurse preceptors, and nurse educators had varied experiences with the TSGM intervention. We identified factors that make the intervention feasible and challenging and may influence the feasibility, acceptability, dropout rate, adherence, and fidelity of the intervention. We also identified areas for future improvement of the intervention.

Conclusions
The use of a newly developed intervention, TSGM, is feasible and accepted by undergraduate nursing students, nurse preceptors, and nurse educators; however, refinement and improvement of the intervention and the TOPP‑N app, improvement in intervention management, and mitigation of negative factors are necessary before a randomized controlled trial can be performed.

International Registered Report Identifier (IRRID)
RR2-10.2196/31646
Has Demographic Revolution Come to a Halt? An Approximation to Successful Aging and the Need for Socio-Educational Action in the New Normal
Authors: Moreno-Crespo Pilar , Hunt-Gómez Coral I. , Martín-Bermúdez Nieves 
Published: January 2023

In the recent years, there has been an increasing interest in how the aging process in integrated in current societies. The existing body of research on aging suggests that society must promote support for successful aging, which implies living more and living better. In this way, extensive research shows that older adults need to be engaged in social participation (Raymond and Grenier, 2015), and therefore, in recent years, older adult education has become a decisive part of the different policies applied to achieve successful aging. The purpose of this paper is to review the different ways in which society acts when facing aging, with special attention devoted to the Spanish situation. This study examines demographic revolution and the different implications that it poses for quality of live and successful aging. A revision of the main aging theories and recommendations to achieve successful aging are provided. Socio-educational actions linked to successful aging promotion are presented, highlighting some university programmes specifically designed for older adults. This lifelong learning scheme has the potential to revolutionize current educational practice to socially integrate older adults in postmodern societies.
Relato de extensão na temática de Gestão Ambiental para discentes do ensino integrado
Authors: Geraldo Kramer Dany , Ramos e Silva Júnior Walter Romero , De Sousa Anésio Mendes 
Published: January 2023

A educação técnica para estudantes do nível médio, busca contribuir com a formação profissional nas diversas localidades brasileiras, onde se destacam os Institutos Federais de Ensino (IF’s) que tem desempenhado enorme papel social nas cidades de atuação, levando educação técnico-científica de qualidade para muitos municípios. Buscando inovar e pensar metodologias de ensino mais próximas e atrativas para os alunos, realizamos uma formação complementar com alunos do ensino médio integrado, e que iremos descrever os detalhes desta ação neste trabalho. A atividade envolveu encontros virtuais com discentes do segundo ano do ensino médio, iniciando-se com uma palestra dialogada-expositiva com a temática de meio ambiente e gestão ambiental, contextualizando-se aspectos conceituais, históricos, normativas e aplicações no cotidiano e setores produtivos. Ao final, foi aplicado um jogo digital “Introdução a gestão ambiental”. Constatou-se ao final da atividade que a metodologia e o jogo educativo propiciaram aos discentes uma experiência de aprendizado dinâmico e divertido, possibilitando uma reflexão sobre a importância dos temas ambientais na vida cotidiana e profissional.