bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estimasi Parameter Capital Assets Pricing Model Dengan Metode Generalized Method of Moments Dalam Perhitungan Value At Risk
Authors: Wahyuni Diah Maghfiroh , Aziz Abdul , Juhari Juhari 
Published: October 2021

Capital Assets Pricing Model merupakan persamaan regresi antara premi risiko aset terhadap premi risiko pasar. Risiko ada jika pembuat keputusan tidak memiliki data untuk menyusun suatu dugaan. Pendugaan tersebut dapat dilakukan dengan generalized method of moments.Penelitian ini bertujuan untuk mengetahui hasil estimasi parameter pada Capital Assets Pricing Model menggunakan Generalized Method of Moments pada data saham PT. Indofood Tbk., serta mendapatkan nilai Value at Risk pada data saham PT. Indofood Tbk..Hasil yang diperoleh yaitu : , m=1,2,…. Dengan nilai maka model regresi pada saham PT. Indofood Tbk.. yaitu . Dengan tingkat signifikansi 5%, investasi awal Rp10.000.000,00 , kerugian yang akan ditanggung oleh investor adalah Rp1.265.800,00 .
In Vitro and in Silico Analysis of Recombinant Arginine Deiminase from Pseudomonas Furukawaii as a Potential Anticancer Enzyme
Authors: Dhankhar Rakhi , Gupta Vatika , Mohanty Aparajita , Gulati Pooja 
Published: October 2021

Abstract
Arginine deiminase (ADI) is a promising anti-tumor enzyme that can be employed in amino acid deprivation therapy for the treatment of various arginine auxotrophic tumors. In our previous work, Pseudomonas furukawaii was identified as a potent producer of ADI with optimum activity at physiological pH and temperature. In this study ADI coding arcA gene was cloned and expressed in E. coli BL21. Recombinant ADI of P. furukawaii (PfADI) was purified using affinity chromatography and its molecular mass was estimated to be ~46KDa. PfADI was found to effectively inhibit the HepG2 cells with an IC50 value of 0.1950 IU/ml which is lower than the IC50 value of Mycoplasma hominis ADI (MhADI) which is in phase III clinical trials. The 3D structure of PfADI was modeled. Immunoinformatics analysis was also carried out to compare the immunogenicity of PfADI with MhADI. The PfADI was found to be less immunogenic in terms of number of linear and conformational B cell epitopes and T cell epitope density. The overall antigenicity and allergenicity of PfADI was also lower as compared to MhADI. Thus the present in vitro and in silico studies establish PfADI as a potential anticancer drug candidate with improved efficacy and low immunogenicity.
EATMR: An Energy-Aware Trust Algorithm Based the AODV Protocol and Multi-path Routing Approach in Wireless Sensor Networks
Authors: Yin Huaying , Yang Hongmei , Hajiee Maryam 
Published: October 2021

Abstract
Rapid developments in radio technology and processors have led to the emergence of small sensor nodes that provide communication over Wireless Sensor Networks (WSNs). The crucial issues in these networks are energy consumption management and reliable data exchange. Due to the limited resources of sensor nodes, WSNs become a vulnerable target against many security attacks. Thus, energy-aware trust-based techniques have become a powerful tool for detecting nodes’ behavior and providing security solutions in WSN. Clustering-based routings are one of the most effective methods in increasing the WSN performance. In this paper, an Energy-Aware Trust algorithm based on the AODV protocol and Multi-path Routing approach (EATMR) is proposed to improve the security of WSNs. EATMR consists of two main phases: firstly, the nodes are clustered based on the Open-Source Development Model Algorithm (ODMA), and then in the second phase, clustering-based routing is applied. In this paper, the routing process follows the AODV protocol and multi-path routes approach with considering energy-aware trust. Here, the optimal and safe route is determined based on various parameters, namely energy, trust, hop-count, and distance. In this regard, we emphasize the evaluation of node trust using direct trust, indirect trust, and a multi-objective function. The simulation has been performed in MATLAB software in the presence of a Denial of Service (DoS) attack. The simulation results show that EATMR performs better than other approaches such as M-CSO and SQEER in terms of successfully detecting malicious nodes and enhancing network lifetime, energy consumption, and packet delivery ratio.
Microstructure and Microsegregation Characterization of Laser Surfaced Remelted Al-3wt%Cu Alloys
Authors: Yao Zhenjie , Ren Wenjing , Allison John 
Published: October 2021

Abstract
Solidification rates during laser remelting of solid metals occur under solidification conditions that are far from equilibrium conditions. The microstructural evolution and microsegregation behaviors are affected by these conditions. This study comprised an experimental characterization of the ultra-fine microstructure and microsegregation in laser surface remelted regions of a hypoeutectic Al-Cu alloy. The laser scan speed, which controls the cooling rate within the remelted region, was observed to have a significant effect on microstructural features and microsegregation. Dendrite arm spacing was determined to decrease with increasing scan speed and depended on location within the melt pool. A transition of the dendrite morphology was also observed in the melt pools. This transition, which is attributed to the grain orientation change influenced by the laser beam movement, was experimentally characterized. The measured microsegregation profiles show decreasing microsegregation as cooling rate increases which is typically of increasing undercooling and non-equilibrium solidification.
A Novel Long Non-Coding RNA (Ctcflos) Modulates Glucocorticoid Receptor-Mediated Induction of Hepatic Phosphoenolpyruvate Carboxykinase in Mice
Authors: Yoon Jae-Yeun , Kim Ju-Yeon , Ka Na-Lee , Lee Sang-Heon , Lee Mi-Ock 
Published: October 2021

Abstract
Background
Phosphoenolpyruvate carboxykinase (Pck1) is a key enzyme that catalyzes an irreversible step of hepatic gluconeogenesis; however, the mechanism underlying Pck1 regulation is not fully understood. This study aims to identify a lncRNA that regulates transcription of the Pck1 gene.
Methods
The precise structures of five different hepatic Ctcflos isotypes were identified through rapid amplification of cDNA ends in the mouse liver. The expression level of hepatic Ctcflos level was determined by PCR and the role of Ctcflos were assessed using antisense oligonucleotides and virus encoding Ctcflos both in vitro and in vivo. The target protein interacted with Ctcflos was identified through RNA pull down assay. Contribution of Ctcflos in glucocorticoid receptor (GR)-mediated Pck1 gene expression was evaluated by chromatin immunoprecipitation, co-immunoprecipitation, in situ proximity ligation assay, and reporter gene analysis.
Results
A novel lncRNA Ctcflos was identified in the enhancer region of Pck1 gene. Induction of Ctcflos was dependent on the glucocorticoid receptor (GR) in the livers of fasted or dexamethasone-administered mice. Overexpression of Ctcflos by infusion of an adenovirus encoding Ctcflos increased transcript- and protein-level of Pck1, whereas knockdown of Ctcflos using antisense oligonucleotides suppressed. RNA pulldown experiments showed that Ctcflos bound the heterogeneous ribonucleoprotein L (hnRNPL) which interacts with GR. Interestingly, knockdown of hnRNPL upregulated the Pck1 gene. Finally, we found that, in the presence of Ctcflos, the binding between GR and hnRNPL was weakened, whereas the DNA binding of GR was enriched in the Pck1 enhancer region.
Conclusions
We report the discovery of a novel lncRNA, Ctcflos, that regulates the transcription of Pck1 by modulating GR function. Targeting Ctcflos may provide a new insight into the development of alternative treatments for hyperglycemia by offering specific regulation of hepatic Pck1 gene expression.
Cucurbitacin B Controls M2 Macrophage Polarization to Suppresses Metastasis via Targeting JAK-2/STAT3 Signalling Pathway
Authors: Zhang Haoyue , Zhao Bei , Yan Yu , Zeng Hairong , Sheng Dongya , Zhang Yang 
Published: October 2021

Abstract
Background

Colorectal cancer is one of the most high-risk human malignant tumors. Tumor-associated macrophages (TAMs) represent a substantial proportion of all tumor-infiltrating immune cells in the tumor microenvironment (TME), as it generally displays M1 or M2 phenotype with tumor-inhibiting or tumor-promoting activity. Cucurbitacin B has been reported to produce varieties of pharmacological effects for the treatment of cancer.
Methods

Cell viability and proliferation were measured by CCK8 as well as colony formation assays, and cell apoptosis were analyzed by flow cytometry. The underlying mechanism was determined using western blot, microscale thermophores and immunofluorescence assays. In addition, the supernatant of cucurbitacin B-induced M2-like macrophages and colon cells were co-cultured in vitro, transwell and wound healing assay were employed to the related phenotypes. Two mouse model were established to investigate the anti-apoptosis and anti-metastasis of cucurbitacin B.
Results

Herein, our study was performed to evaluate the anti-tumor and anti-metastasis effect of cucurbitacin B. It was observed that cucurbitacin B inhibited the phosphorylation of JAK2 and STAT3, and translocation from the cytosol to the nucleus. Meanwhile, we observed that cucurbitacin B bound to STAT3. Further experimentation demonstrated that cucurbitacin B reduced the polarization of M2 macrophage by down-regulating JAK2/STAT3 signaling pathway. Cucurbitacin B-induced M2-like macrophages was found to diminish the migration of CRC cells. In vitro study suggested that cucurbitacin inhibited the CRC cells proliferation via JAK2/STAT3 and suppressed the cell migration by suppressing M2-like macrophages polarization. Consistent with in vitro results, the cucurbitacin B therapy significantly inhibited tumor growth and metastasis in mice. Moreover, in vivo the treatment with cucurbitacin B enhanced anti-tumor immunity by regulating M2-like macrophages and promoted the expression of CD4 and CD8 in tumor microenvironment.
Conclusion

Collectively, our results provided that cucurbitacin B might be a potential candidate agent for adjuvant therapy in the process of CRC growth and metastasis.
Machine Learning Based Real Time-Heuristic Sensor Data Analytics For Early Warning Prediction
Authors: Pal Shelendra , Mishra Divyendu Kumar , Haldorai Anandakumar , Parvathy L. Rama , Janupriya S. , Babu D.Vijendra 
Published: October 2021

Abstract
Landslides have the potential to cause significant property damage as well as fatalities. Landslides are identified by real-time heuristic data analysis acquired using wireless sensor networks (WSNs) in changing environments. People can abandon dangerous locations earlier when landslides are forecasted. In this paper, the early warning prediction system developed using machine learning; Artificial Neural Networks (ANNs) provide precise predictions. The weight coefficients of ANN can be adjusted exactly enough by network functional training. In the case of unbalanced data distribution, the proposed ANN model is unable to learn the sample data pattern. This results in incorrect prediction and therefore, a switching method is utilized to switch between alternative predictors based on the current environmental state. Furthermore, the proposed model has been developed to forecast and compensate for errors during the prediction phase. Thus, the proposed model can enhance precise prediction, and an early warning prediction system of landslides can issue warnings 44.2 minutes before a landslide occurrence.
Real-time Visibility, Operational Insights and Actions with SAP Operational Process Intelligence, powered by HANA
Authors: Jegadeesan Harsh 
Published: October 2021

Abstract
Over the past decade, business operations in organizations are increasingly generating vast amounts of data. This steep increase in operational data – often known as big data – is a result of organizations capturing data at more fine-granular levels in business operations. Leveraging operational big data to improve business operations can create a sustainable competitive advantage to organizations. In this paper, we argue that operational big data is ”dead data” unless it is contextualized and made actionable for line-of-business users. Moreover, we explain how organizations can use SAP Operational Process Intelligence and the power of HANA to first, contextualize operational big data for real-time operational intelligence, second, provide line-of-business users visibility into business operations and business situations as they evolve and third, propose appropriate actions to respond to these business situations and help them reach business outcomes.
On Weighted Pál Type (0,2)-interpolation on the Unit Circle
Authors: Bahadur Swarnima , Bano Sariya 
Published: October 2021

Abstract
In this paper, we study the explicit representation of weighted Pál-type (0,2)-interpolation on two pairwise disjoint sets of nodes on the unit circle, which are obtained by projecting vertically the zeros of (1−x2)Pn(x) and Pn′′(x) respectively, where Pn(x) stands for nth Legendre polynomial.AMS Classification (2000): 41A05, 30E10.
The Value of ROX Index in Predicting the Outcome of High Flow Nasal Cannula: A Systematic Review and Meta-analysis
Authors: Junhai Zhen , Jing Yan , Beibei Cao , Li Li 
Published: October 2021

Abstract
Background: High flow nasal cannula (HFNC) therapy is widely employed in acute hypoxemic respiratory failure (AHRF) patients. However, the techniques for predicting HFNC outcome remain scarce.Methods: PubMed, EMBASE, and Cochrane Library were searched until April 20, 2021. We included the studies that evaluated the potential predictive value of ROX (respiratory rate-oxygenation) index for HFNC outcome. This meta-analysis determined sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic score, diagnostic odds ratio (DOR), and pooled area under the summary receiver operating characteristic (SROC) curve.Results: We assessed nine studies with 1933 patients, of which 745 patients experienced HFNC failure. This meta-analysis found that sensitivity, specificity, PLR, NLR, diagnostic score, and DOR of ROX index in predicting HFNC failure were 0.67 (95% CI 0.57-0.76), 0.72 (95% CI 0.65-0.78), 2.4 (95% CI 2.0-2.8), 0.46 (95% CI 0.37-0.58), 1.65(95% CI 1.37-1.93), and 5.0 (95% CI 4.0-7.0), respectively. In addition, SROC was 0.75 (95% CI 0.71-0.79). Besides, our subgroup analyses revealed that ROX index had higher sensitivity and specificity for predicting HFNC failure in COVID-19 patients from non-European countries, while the acquisition time of 6 h after receiving HFNC had a lower sensitivity and specificity when compared to other times.Conclusions: This study demonstrated that ROX index could function as a novel potential marker to identify patients with a higher risk of HFNC failure. However, the prediction efficiency was moderate, and additional research is required to determine the optimal cut-off value and propel acquisition time of ROX index in the future.PROSPERO registration number: CRD42021240607.
Evaluation of a Large-Scale School Wellness Intervention Through the Consolidated Framework for Implementation Research (CFIR): Implications for Dissemination and Sustainability
Authors: McLoughlin Gabriella M , Sweeney Rachel , Liechty Laura , Lee Joey A. , Rosenkranz Richard R. , Welk Gregory J. 
Published: October 2021

Abstract
BackgroundAlthough comprehensive approaches to student health promotion through wellness policy implementation show potential for scale-up, scant empirical research has been conducted to meaningfully integrate dissemination and implementation (D&I) in evaluation procedures. Such application is necessary to understand how and why interventions are sustained over time. The aims of this study were to investigate: 1) implementation determinants of adoption, fidelity, and penetration for school-wide wellness programming; and 2) nuanced determinants between schools with prior experience and those new to the program, to enhance tailored implementation support and sustainability.MethodsThe School Wellness Integration Targeting Child Health (SWITCH®) capacity-building intervention was adopted in 52 elementary and middle (22 new; 30 experienced) schools across Iowa, United States in the 2019–2020 academic year. The Consolidated Framework for Implementation Research (CFIR) guided development of mixed methods data collection and analysis protocols, adapted to school settings. Determinants from CFIR were linked to three key implementation outcomes: 1) fidelity/compliance to established quality elements; 2) adoption of best practices in multiple settings; and 3) penetration of behavior change practices across classrooms and grade levels. Organizational readiness/capacity was also assessed at baseline. Interview data were scored using a systematic process; each CFIR domain was assigned a score (ranging between -2 and +2) to denote either a positive or negative influence on implementation. Independent t-tests were conducted to capture potential differences between new and experienced schools, followed by Pearson bivariate correlation analyses to determine relationships between CFIR determinants and implementation outcomes. ResultsIn experienced schools, fidelity/compliance (t=-1.86 p=.07) and adoption (t=-2.03 p=.04) were slightly higher than new schools. The CFIR determinants of innovation source, culture and relative priority, and leadership engagement were positively related to implementation outcomes, whereas tension for change and networks and communications were observed negative determinants. Unique negative determinants for new schools comprised relative advantage, engaging key stakeholders, and reflecting/evaluating, among others. ConclusionsFindings provide specific areas of need where implementation support may be most valuable, especially for new schools undertaking a comprehensive program such as SWITCH. Tailoring implementation support to both new and existing settings will ultimately enhance dissemination and sustainability of evidence-based interventions.
Resilient Anti-disturbance Dynamic Surface Control of Uncertain Strict-feedback Systems Subject to Partial Loss of Actuator Effectiveness
Authors: Liu Lu , Yang Anxin , Chen Weixing , Zhang Weidong 
Published: October 2021

Abstract
This paper is concerned with the tracking control of a class of uncertain strict-feedback systems subject to partial loss of actuator effectiveness, in addition to uncertain model dynamics and unknown disturbances. A resilient anti-disturbance dynamic surface control method is proposed to achieve stable tracking regardless of partial actuator faults. First, data-driven adaptive extended state observers are designed based on memory-based identifiers, such that the uncertain model dynamics, external disturbances, and the unknown input gains due to actuator faults can be estimated. Next, a resilient anti-disturbance dynamic surface controller is developed based on recovered information from the data-driven adaptive extended state observers. After that, it is proven that the cascade system formed by the observer and controller is input-to-state stable. Finally, comparative studies are performed to validate the efficacy of the resilient anti-disturbance dynamic surface control method for nonlinear strict-feedback systems subject to partial loss of actuator effectiveness.
Choline Glycerophosphate and Silymarin Modulate Brain and Intestinal Injuries in Rats Exposed to Gamma-Radiation
Authors: Abdel-Aziz Nahed , Elkady Ahmed A. , Elgazzar Eman M. 
Published: October 2021

Abstract
This work aims to investigate the possible effect of choline glycerophosphate alone or combined with silymarin administration in modulating whole body gamma irradiation-induced brain and intestinal injuries in rats. Rats were irradiated with 7 Gy then subjected to choline glycerophosphate and/ or silymarin for two weeks. At the end of the experiment, the animals were sacrificed and brain and intestine samples were dissected for biochemical, molecular and histopathological examinations. The results showed that choline glycerophosphate, alone or combined with silymarin, ameliorated the adverse effects of radiation as revealed by the inhibition of oxidative stress, apoptotic and inflammatory markers (MDA, Caspase 3, TNF alpha, IL-1β and NF-kB). However, TAC, anti-inflammatory marker, IL-10 and IkBa mRNA were increased. This was also accompanied by a significant increase in the Ach level, ChAT activity and α7 nAChR mRNA expression and a significant decrease in the activity of AChE as compared with the corresponding values of the irradiated group. Moreover, a reduction in the tissue lesions were observed in brain and intestinal tissues. In conclusion, choline glycerophosphate and silymarin exhibited modulating effect against detrimental effects of gamma radiation via cholinergic anti-inflammatory pathway.
Inaugural MSK Medicine Module: An innovative multidisciplinary medical education model
Authors: Zywiel Michael G. , Sathiyamoorthy Thrmiga , Archibald Doug , Kraemer William , Alman Benjamin , Ferguson Peter , Simor Andrew , Mendoza Roberto , Bruno Tania , Sangha Harpreet Singh , McDonald-Blumer Heather , Bookman Arthur , Josse Robert , Norris Erin , Elliot-Gibson Victoria , Howard Andrew , Flannery John , Nousiainen Markku , Wadey Veronica 
Published: October 2021

Abstract
Background

Given the increased need to enhance musculoskeletal education, an inaugural musculoskeletal (MSK) focused module was developed and evaluated as part of an orthopedic surgery training program at the University of Toronto. The educational offerings were based on a previously validated MSK Curriculum. Specifically, the aims are to evaluate the effectiveness of the module on 1) improving MSK knowledge and skills expected of graduating Orthopaedic residents and 2) the ability of residents to collaborate professionally with non-surgical MSK clinicians.
Methods

Nine residents initially selected to participate in the competency based curriculum for orthopaedic surgery completed this module as an essential component of their training. The module was experienced during the mid-point of training (PGY 3 equivalent). An evaluation template was developed using pre and post module multiple choice (MCQ) and short answer questions (SAQ) to assess knowledge; summary of in-training education reports (ITERs) of clinical educational experiences and; feedback obtained for scholarly presentations. Structured feedback was obtained from learners and educators to evaluate the effectiveness of the module and to inform changes to optimize future learning opportunities and environments.
Results

Nine residents completed the pilot study. The module was 8 weeks long. Learners rotated through clinical settings within five educational pillars. All residents demonstrated improvements in MSK medicine knowledge expected of graduating Orthopaedic residents with a 40% increase in mean MCQ scores (76% vs 60%; p<0.001) and 58% improvement in mean SAQ scores (78% vs 47%; p<0.001). Professionalism evaluations revealed performance above the expected level with a mean in-training education reports score of 4.19 out of 5 (SD: 0.44; range, 3.73 to 5).
Conclusion

Completing a MSK medicine module at the mid-point of postgraduate Orthopaedic training positively impacts acquisition of relevant MSK knowledge and skill, while facilitating interdisciplinary management of patients with MSK conditions using a new educational paradigm.