Miracle-dz/UniFAR-FTUs huggingface dataset:
Iron Chelator VLX600 Inhibits Mitochondrial Respiration and Promotes Sensitization of Neuroblastoma Cells in Nutrition-Restricted Conditions

Simple Summary MYC proteins are essential regulators which could affect more than 15% of all genes through an interaction with other transcription factors. High-risk neuroblastoma associated with treatment failure is characterized by amplification of the MYCN proto-oncogene. Here, we show for the first time that the iron chelator VLX600 inhibits mitochondrial activity and induces cell death, regardless of MYCN status in neuroblastoma cells. Blocking glucose uptake enhances the effect of VLX600, indicating that targeting pathways or cellular activities related to energy supply/metabolism may help to find better therapeutic strategy for neuroblastoma. Abstract Neuroblastoma, the most common solid tumor in children, is characterized by amplification of the MYCN proto-oncogene, a high-risk aggressive clinical marker associated with treatment failure. MYCN plays an important role in cell growth, proliferation, metabolism, and chemoresistance. Here, we show for the first time that in neuroblastoma, iron chelator VLX600 inhibits mitochondrial respiration, decreases expression levels of MYCN/LMO1, and induces an efficient cell death regardless of MYCN status in both 2D and 3D culture conditions. Moreover, insufficient induction of autophagy was observed in cells treated with VLX600, which is essential as a protective response in the event of ATP synthesis disruption. Further inhibition of glucose uptake using DRB18, a pan-GLUT (glucose transporter) inhibitor, synergized the effect of VLX600 and no significant cell death was found in immortalized epithelial cells under this combination treatment. Our results demonstrate that inhibition of mitochondrial respiration by iron chelator VLX600 accompanied by autophagy deficiency promotes sensitivity of neuroblastoma cells in a nutrition-restricted microenvironment regardless of MYCN status, indicating that MYCN expression level is an essential clinical marker but might not be a necessary target for the treatment of neuroblastoma which warrants further investigation. VLX600 has been studied in Phase I clinical trials; combining VLX600 with conventional chemotherapy could be an innovative therapeutic strategy for neuroblastoma.
Character education trend in Indonesia

Character education is an educational concept to form and foster a Muslim personality as a whole (syumuliyah). This literature study aimed to determine the implementation of character education and supporting and inhibiting factors for the implementation of character education in formal schools in Indonesia. Data analysis techniques by means of data reduction, data display, and conclusion. Based on research findings, the trend of implementing character education in Indonesian formal schools has the same spirit in the content of character education. In formal schools with the status of public schools, the implementation of character education follows government regulations as stated in the Strengthening of Character Education (SCE), which is an implication of Islamic teachings. As for formal schools with private status on an Islamic basis, character education tends to be oriented towards cultivating akhlakul karimah (moral education) combined with government regulations. The implications of this research lead to the cultivation of character values that are embedded in social attitudes and spiritual attitudes as provisions for students' daily lives. The supporting and inhibiting factors for the implementation of character education are also discussed.
Neuroinflammation and subarachnoid hemorrhage: a revised look at the literature

A key topic for aneurysmal subarachnoid hemorrhage is neuroinflammation. Neuroinflammation can predispose to aneurysm formation and rupture. Neuroinflammation can also result from the blood breakdown products after aneurysm rupture. Recent evidence has shown that perpetual neuroinflammation can contribute to vasospasm and hydrocephalus. Targeting neuroinflammation is a novel mechanism for preventing subsequent neurologic sequalae. In this review, we highlight the pathophysiology of aneurysm formation, the neuroinflammatory surge after rupture including the involved cytokines, and ultimately tie in the contributory clinical relevance. In the last sections, we look at the pre-clinical data and novel avenues for further discovery. This paper will be a useful resource to both the clinician and scientific investigator.
Media and Mass Shootings: Field Theory in CNN News Coverage of the Columbine High School and Parkland High School Mass Shootings

Through discourse analysis, this article seeks to compare the cable news coverage of the Columbine High School shooting and the Marjory Stoneman Douglas High School shooting (n = 81) in the first two days of coverage using field theory, with CNN broadcast transcripts as the unit of analysis. The research showed that the shooter was the dominant shaping force in the CNN discourse in both school shooting events.
Effects of brand attitude, perceived value, and social WOM on purchase intentions in luxury product marketing

During the COVID-19 pandemic, there has been a significant change in customer behavior, including in the luxury product business. One crucial part of customer behavior is purchase intention. Understanding purchase intention is an essential basis for developing various marketing innovations. This study aimed to establish a model of the interaction of factors that influence purchase intention in luxury products today, especially in Indonesia. The study used a cross-sectional study approach. This study’s respondents were social media users who would buy luxury products. The research sample size was 381 users. The Lime Survey was applied to collect data and was accessed online. The questionnaire statement items used a Likert scale from 1 (Strongly Disagree) to 5 (Strongly Agree), including Perceived Value (9 items), Social WoM (3 items), Brand Attitude (3 items), and Purchase Intention (3 items). The model validation was analyzed using bootstrapping to process the Structural Equation Model (SEM) under Smart-PLS software. The analysis results show that the three variables simultaneously (R-square = 0.419) moderately can be used to explain Purchase Intention. However, the factors that affect Purchase Intention are only Perceived Value (p-value = 0.000) and Brand Attitude (p-value = 0.000), but not Social WoM (p-value = 0.203). This study concludes that marketing innovation is critical to focus on the prestige of luxury product users through perceived value and brand attitude. Information from other users is not reliable enough to build purchase intention because luxury product users tend not to trust products from other users. Still, they believe more in the perceived prestige. Acknowledgments Faculty of Economics and Business of Universitas Negeri Sebelas Maret facilitates using LIME Survey software for this research.
Adaptive Prescribed Performance Control of Unmanned Aerial Manipulator With Disturbances

This article presents the problem of autonomous control of an unmanned aerial manipulator (UAM) developed for operation with unknown disturbances, wherein the disturbances from the coupling effect between the UAM and the external environment need to be considered. Regarding the coupling force as a disturbance to the entire UAM system, an adaptive prescribed performance control (APPC) scheme utilizing the knowledge of prescribed performance is proposed to guarantee the transient and steady-state performance responses. Also, an adaptive law is designed to estimate the upper boundary parameters of the UAM system uncertainties and disturbances, wherein the restrictive constant boundary assumptions and the prior information of the upper bound are not required in the controller design. Furthermore, to enable safe manipulation in a realistic situation, an end-effector trajectory generation method is presented satisfying the joint angle limitation. For the validation of the proposed method, the simulation results of numerical simulation comparisons are shown. Moreover, experimental scenarios including stable flight and simulated co-work with humans in complex environments are designed to verify the proposed method. Note to Practitioners—This article is motivated by the problem of aerial manipulation under unknown disturbances, which may be caused by the wide movement of the manipulator and the sudden loading or unloading of an object. Existing approaches for aerial manipulation often require the assumption of a constant or slowly varying external disturbance. However, a priori bounded disturbance might impose a priori bound on the system state before obtaining closed-loop stability. In this article, the proposed controller with an adaptive law is designed to estimate the upper boundary parameters of the overall disturbances and ensure the predefined performance, so that the prior information of the upper bound of disturbances is not required. The performance of the proposed control strategy is demonstrated via numerical simulation comparisons and experiments, including stale flight and simulated co-work with humans in a complex environment.
IAES International Journal of Artificial Intelligence (IJ-AI)

Received Oct 27, 2021 Revised May 19, 2022 Accepted Jun 17, 2022 One of the most dangerous health diseases affecting the world's population is diabetes mellitus (DM), and its diagnosis is the key to its treatment. Several methods have been implemented to diagnose diabetes patients. In this work, a hybrid model which combines of coyote optimization algorithm (COA) and least squares support vector machine (LS-SVM) is proposed to classify of Type-II-DM patients. LS-SVM classifier is applied for classification process but it's very sensitive when its parameter values are changed. To overcome this problem, COA algorithm is implemented to optimize parameters of the LS-SVM classifier. This is the goal of the proposed model called the COA-LS-SVM. The proposed model is implemented and evaluated using Pima Indians Diabetes Dataset (PIDD). Also, it's compared with several classification algorithms that were implemented on the same PIDD. The experimental results demonstrated the effectiveness of the proposed model and its superiority over other algorithms, as it could accomplish an average classification accuracy of 98.811%.
Development of the FHR advanced natural circulation analysis (Fancy) code

Author(s): Guo, Z; Zweibaum, N; Shao, M; Huddar, LR; Peterson, PF; Qiu, S | Abstract: © Copyright (2015) by American Nuclear Society All rights reserved. The University of California, Berkeley (UCB) is performing thermal hydraulics safety analysis to develop the technical basis for design and licensing of fluoride-salt-cooled, high-temperature reactors (FHRs). FHR designs investigated by UCB use natural circulation for emergency, passive decay heat removal when normal decay heat removal systems fail. The FHR advanced natural circulation analysis (FANCY) code has been developed for assessment of passive decay heat removal capability and safety analysis of these innovative system designs. The FANCY code uses a one-dimensional, semi-implicit scheme to solve for pressure-linked mass, momentum and energy conservation equations. Graph theory is used to automatically generate a staggered mesh for complicated pipe network systems. Heat structure models have been implemented for three types of boundary conditions (Dirichlet, Neumann and Robin boundary conditions). Heat structures can be composed of several layers of different materials, and are used for simulation of heat structure temperature distribution and heat transfer rate. Control models are used to simulate sequences of events or trips of safety systems. A proportional- integral controller is also used to automatically make thermal hydraulic systems reach desired steady state conditions. A point kinetics model is used to model reactor kinetics behavior with temperature reactivity feedback. The underlying large sparse linear systems in these models are efficiently solved by using direct and iterative solvers provided by the SuperLU code on high performance machines. Input interfaces are designed to increase the flexibility of simulation for complicated thermal hydraulic systems. Detailed code-to-code comparison with established thermal hydraulic system codes such as RELAP5, and validation against experimental data from UCB's Compact Integral Effects Test facility, are performed in a companion paper. This paper mainly focuses on the methodology used to develop the FANCY code, and safety analysis of the Mark 1 pebble-bed FHR under development at UCB is performed.
Chinese-English dual language bilingual education in the United States美国中英双语沉浸式教学

ABSTRACT This special issue examines dual-language bilingual education (DLBE) programmes in North America that provide emergent bilinguals with instruction in two-way and one-way bilingual programmes. We use the term Dual-Language Bilingual Education to emphasise the end-goal of bilingualism and reclaim the critical and social justice orientation of bilingual education. Currently, scholarship surrounding DLBE programmes in North America focus primarily on Spanish-English and French-English language combinations, and lack in Chinese-English DLBE programmes. Still, research in this language area is garnering more attention, yielding findings that are both unique to the Chinese partner language and generalisable to other la-nguage combinations. To frame this special issue, we provide a systematic review of Chinese-English DLBE research from peer-reviewed journal articles published between 2000 and 2021. Twenty-eight articles were analyzed for trends and themes. Together with the six studies in this special issue, these articles discuss various issues in Chinese-English DLBE research including (but not limited to) learning outcomes, stakeholder perspectives, language development, and pedagogical supports, while adopting different research designs. We envision this special issue will diversify the language area in current bilingual education research and critically engage with interdisciplinary research narratives to examine opportunities and challenges in Chinese-English DLBE research.
First Taxonomic Note on Rodolia ruficollis Mulsant (Noviini: Coccinellidae) and its Predatory Role against Scale Insect Pest, Icerya aegyptiaca (Dgl.) from Sindh, Pakistan

The coccinellid predator, Rodolia ruficollis Mulsant is treated taxonomically for the first time from Sindh Province of Pakistan. This may be a unique contribution to the genus Rodolia with the description of this species on the basis of important diagnostic characters including male and female genitalia. It is an important predator of scale insect pest, Icerya aegyptiaca (Douglas, 1890) which is dangerous insect pest upon different fruit trees including date palm, mango, mulberry and other important fruit trees in this region. This study also investigates the predatory role both adults and 4 th instar larvae of this coccinellid predator in the biological control of I . aegyptiaca comparatively in the laboratory and under field conditions. The 4 th instar larvae were found to be more voracious than adults.
Molecular genetic diversity in dual purpose and land races of pigeonpea (Cajanus cajan (L.) Millsp.)

Molecular genetic diversity was assessed among 32 dual purpose and land races of pigeonpea using 20 pigeonpea specific SSR markers. Among 20 markers, 15 markers revealed polymorphism, while five markers exhibited a monomorphic banding pattern. The polymorphic markers produced a total of 43 alleles with an average of 2.15 alleles per marker. The markers CcM 0008 and CcM 1026 produced the highest number of alleles (4). The Polymorphic Information Content (PIC) value of the markers ranged from 0.06 (PGM 16) to 0.64 (CcM 0008) with an average of 0.19. A dendrogram constructed using UPGMA distinguished 32 genotypes into 10 clusters. Cluster I was the largest with 15 genotypes followed by cluster V with five genotypes. The Neighbour- joining tree produced based on the weighted average for dissimilarity matrix grouped the 32 genotypes into eight groups. Among them group II was the largest comprising of 10 genotypes. Based on the molecular genetic diversity study using SSR markers, the genotypes Kunnathur local, CRG 13-01, BSR 1 and Pillayakothur local were found diverse among the genotypes and had good grain and vegetable pigeonpea traits could be used in the breeding programme. The results indicated that SSR markers provide a more definitive separation of clusters indicating a higher level of efficiency for determining the relationship among pigeonpea genotypes.
Task-Oriented Network Abnormal Behavior Detection Method

Since network systems have become increasingly large and complex, the limitations of traditional abnormal packet detection have gradually emerged. The existing detection methods mainly rely on the recognition of packet features, which lack the association of specific applications and result in hysteresis and inaccurate judgement. In this paper, a task-oriented abnormal packet behavior detection method is proposed, which creatively collects action identifications during the execution of network tasks and inserts security labels into communication packets. Specifically, this paper defines the network tasks as a collection of state and action sequences to achieve the fine-grained division of the execution of network tasks, performs Hash value matching based on random communication string and action identification sequence for packet authentication, and proposes a mechanism of action identification sequence matching and abnormal behavior decision-making based on a finite state machine, according to the fine-grained monitoring of task execution action sequence. Furthermore, to verify the validity of the anomaly detection method proposed in this paper, a prototype based on the FTP communication platform is constructed, on which the simulation experiments, including the DDOS attack and backdoor attack, are conducted. The experimental results show that the proposed task-oriented abnormal behavior detection method can effectively intercept network malicious data packets and realize the active security defense for network systems.
The Affinity of the Former Czech Prime Minister Andrej Babiš Towards Alternative Media on Facebook

There was found just one preference for alternative or controversial sources that Babiš designated as permanently liked media sources on FB. Surprisingly, Babiš did not even “like” permanently any of those media that he purchased a few years earlier and put into the governance of a special foundation while acting like a politician. Babiš preferred quality economic business magazines and journals. He liked only one media source that could be considered alternative media – Internet TV XTV. However, not even this online TV can be seen as a traditional alternative/disinformation medium, but rather as a borderline case. Andrej Babiš on FB also liked pages of NGOs, cultural institutions, and some other rather unusual non-political activities.
Dual‐band bandpass filters with multiple transmission zeros using λ/4 stepped‐impedance resonators

Two novel dual‐band microstrip bandpass filters (BPFs) with multiple transmission zeros are proposed in this article. The dual‐band BPFs with second‐order bandpass responses are due to two λ/4 stepped‐impedance resonators (SIRs). Two passbands (center frequency ratio f s/f0 is 2.36) are realized based on the asymmetric SIRs. The transmission zeros near the passbands can be adjusted conveniently using the stopband transmission characteristic of the open/shorted coupled lines. Two planar microstrip dual‐band BPFs (ε r = 2.65, h = 0.5 mm) with four and six transmission zeros are designed and fabricated. High selectivity and good in‐band performances can be achieved in the proposed filters.
Deep-Sea Underwater Cooperative Operation of Manned/Unmanned Submersible and Surface Vehicles for Different Application Scenarios

In this paper, we propose three cooperative operational modes of manned and unmanned submersibles for a range of different deep-sea application scenarios. For large-scale exploration, a lander or an unmanned surface vehicle (USV) is paired with one or more autonomous underwater vehicles (AUVs), while the liberated research vessel R/V can transport the manned submersible to another area for diving operations. When manned submersibles and AUVs perform small-scale accurate measurements, the research vessel R/V supports both submersible types for diving operations and has a positioning and communication time allocation mechanism for cooperative operations. Through the analysis of the operating efficiency of different modes, we found that the cooperative operational mode based on the pure research vessel R/V is suitable for local small-scale accurate detection, and the cooperative operational mode based on the USV/lander system is suitable for large-scale and long-distance underwater operations.
Analysis of the Metabolic Response of Planktonic Cells and Biofilms of Klebsiella pneumoniae to Sublethal Disinfection with Sodium Hypochlorite Measured by NMR

Klebsiella pneumoniae is a pathogenic agent able to form biofilms on water storage tanks and pipe walls. This opportunistic pathogen can generate a thick layer as one of its essential virulence factors, enabling the bacteria to survive disinfection processes and thus develop drug resistance. Understanding the metabolic differences between biofilm and planktonic cells of the K. pneumoniae response to NaClO is key to developing strategies to control its spread. In this study, we performed an NMR metabolic profile analysis to compare the response to a sublethal concentration of sodium hypochlorite of biofilm and planktonic cells of K. pneumoniae cultured inside silicone tubing. Metabolic profiles revealed changes in the metabolism of planktonic cells after a contact time of 10 min with 7 mg L−1 of sodium hypochlorite. A decrease in the production of metabolites such as lactate, acetate, ethanol, and succinate in this cell type was observed, thus indicating a disruption of glucose intake. In contrast, the biofilms displayed a high metabolic heterogeneity, and the treatment did not affect their metabolic signature.
Mystery Shopper Assessment of PrEP Service Delivery Quality for Adolescent Girls and Young Women in Kenya: A Cross-sectional Study

Abstract Pre-exposure prophylaxis (PrEP) uptake and adherence among adolescent girls and young women (AGYW) may be negatively influenced by poor interactions with health care providers. We assessed PrEP counseling using unannounced standardized patient actors (USPs) at routine care clinics in Kenya. Trained actors posed as AGYW seeking PrEP services following case scripts and completed a checklist of provider adherence to national guidelines and communication skills. Scores were converted into a percentage and compared using linear regression. The overall mean quality score was 52.1 and varied across case scripts: a married new initiator yielded higher scores than portrayals of adherence/stigma challenges, transactional sex, and a minor adolescent. Mean guideline scores (31.4) were lower than communication scores (72.8), although in 36.5% of encounters, USPs stated they would not seek help from that provider again. Unannounced standardized patients reported provider reluctance to offer PrEP to AGYW. Interventions to strengthen provider counseling skills are needed.