Miracle-dz/UniFAR-FTUs huggingface dataset:
Circ_0084043-miR-134-5p axis regulates PCDH9 to suppress melanoma

The low survival rates, poor responses, and drug resistance of patients with melanoma make it urgent to find new therapeutic targets. This study investigated whether the circ_0084043-miR-134-5p axis regulates the antitumor effect of protocadherin 9 (PCDH9) in melanoma. Ectopic expression or knock down (KD) of PCDH9 with a lentivirus vector, we explored its effects on the proliferation, invasion, and apoptosis of melanoma and verified its regulatory effect on ras-related C3 botulinum toxin substrate 1 (RAC1), proline-rich tyrosine kinase 2 (Pyk2), Cyclin D1, matrix metalloproteinase 2 (MMP2), and MMP9. We further observed the effect of KD circ_0084043 on the malignant behavior of melanoma and studied whether circ_0084043 sponged miR-134-5p and regulated PCDH9. We found that circ_0084043 was overexpressed in melanoma and associated with the malignant phenotype. PCDH9 was poorly expressed in human melanoma tissues, and overexpression of PCDH9 inhibited melanoma progression. Quantitative real-time PCR and Western blotting results showed that overexpression of PCDH9 could downregulate RAC1, MMP2, and MMP9 and upregulate Pyk2 and Cyclin D1. Circ_0084043 KD inhibited invasion and promoted apoptosis in melanoma cells. Circ_0084043 could sponge miR-134-5p and thus indirectly regulate PCDH9. Furthermore, we discovered that inhibiting circ_0084043 had an anti–PD-Ll effect. In vivo, PCDH9 overexpression inhibited melanoma tumor growth, but PCDH9 KD promoted it. In conclusion, PCDH9, which is regulated by the circ 0084043-miR-134-5p axis, can suppress malignant biological behavior in melanoma and influence the expression levels of Pyk2, RAC1, Cyclin D1, MMP2, and MMP9.
Convergence Analysis of ISO/IEC 12207 and CMMI-DEV: Complementary Result from Systematic Literature Review

The organizations and people are demanding more and better software products and services, which implies adequate processes for its development. In the context of the software industry, there are two models, the CMMI-DEV and ISO/IEC 12207 that are influencing it. Though, they are evolving separately, recurrently they have been compared to determine its coverage (in both directions). In this study is analyzed the results of those comparisons (partials and completed) to determine if the models ISO/IEC 12207 and CMMI-DEV converge at processes level. This study identified eight articles where the comparison is carried out between ISO/IEC 12207 and CMMI-DEV. The results show that technique most used is the mapping comparisons between the models and according to the analyzed studies is not possible to determine whether there is convergence in the time. However, we found some items and criterions for use in comparisons.
Lowermost Mantle Anisotropy Beneath Africa From Differential SKS‐SKKS Shear‐Wave Splitting

We investigate seismic anisotropy in the lowermost mantle in the vicinity of the African large low shear velocity province (LLSVP) using observations of differential SKS‐SKKS shear‐wave splitting. We use data from 375 permanent and temporary stations in Africa which enable us to map the spatial distribution of the anisotropic regions of the lowermost mantle in unprecedented detail. Our results corroborate previous findings that anisotropy is most clearly observed at the margins of the LLSVP, indicating strong deformation at its border, and they are generally consistent with a mostly isotropic LLSVP interior. We find that most discrepant SKS‐SKKS measurements sample the lowermost mantle close to what is inferred to be the root of the Afar plume. We also identify strongly discrepant splitting in the vicinity of a previously mapped ultralow velocity zone (ULVZ) at the base of the LLSVP, beneath Central Africa. This represents an unusual observation of lowermost mantle anisotropy that is spatially coincident with a ULVZ and may reflect a unique anisotropic mechanism such as alignment of partial melt or the presence of strongly anisotropic magnesiowüstite. We interpret discrepant measurements outside of the LLSVP as likely reflecting a change in flow direction from the horizontal plane to a more vertical direction, which may be caused by deflection at the steep LLSVP border. We propose that our observations of D″ anisotropy associated with the African LLSVP can be explained by a mantle flow regime that maintains passive thermochemical piles with slab‐driven flow and allows for the formation of upwellings at their edges.
The difference between metacognition and mindreading: Evidence from functional near-infrared spectroscopy

The relationship between metacognition and mindreading was investigated by examining how well one can monitor their own learning (Self) compared to another person’s learning (Other). Here, we used functional near-infrared spectroscopy (fNIRS) to systematically investigate the brain area activation during metacognition and mindreading. The evidence indicated that metacognition and mindreading are underpinned by distinct neural systems. Metacognition is associated with activation in brain regions important for memory retrieval, such as the fusiform gyrus, while mindreading is associated with activation in brain regions important for understanding and reasoning about others’ intentions, such as the right temporoparietal junction (rTPJ).
The Effect of Technology-based Interventions on the Performance of First Year University Statistics Students

The study in this paper reports on whether an online homework system in combination with a flipped classroom has a positive effect on success rates of first year statistics students. Departing from a traditional teaching model (Baseline), the technology-based intervention strategies implemented were firstly the Aplia™ interactive online homework system (Phase 1) and then, in addition, the flipped classroom (Phase 2). In the flipped classroom model, the transfer of information took place by pre-reading and pre-class Aplia™ homework assignments. This approach intended to allow more quality time to be spent on revisiting difficult concepts and engaging in problems inside the lecture hall, thus enhancing the learning process. The average final marks of the three cohorts were compared using an ANOVA test. Chi-square tests were used to evaluate the effects of the changing teaching models from Baseline through Phase 1 to Phase 2. The success rates of three different cohorts (n = 1485, 1343 and 1466 respectively), consisting of only first-time statistics students with a Grade 12 mathematics mark of at least 60%, were assessed. For Phase 1 compared with the Baseline the increase in the success rate was insignificant, but the success rates for Phase 2 compared with both Phase 1 and Baseline improved significantly with a small to medium effect size, because of the very large samples. The practical importance of this is that the number of successful students increased by more than 100 from Phase 1 to Phase 2 and more than 130 from Baseline to Phase 2. A significant relationship was also found between the different cohorts and their mark distributions, confirming that the online homework system in combination with the flipped classroom in particular is effective in increasing the success rate.
A review on image enhancement with deep learning approach

Deep learning is presently a dynamic research zone in machine learning and pattern recognition society. It has importance in an expansive zone of applications, for example, speech recognition, natural language processing, and computer vision. The procedures created from deep learning research have just been affecting the exploration of image enhancement. Images caught in low-light conditions more often than not experience the ill effects of low difference, which expands the trouble of consequent PC vision errands in an incredible extent. Many applications mean to upgrade brilliance, differentiate and decrease noisy content from the images in an on-load up constant manner. We demonstrate that a variation of the stacked-inadequate denoising auto encoder can figure out how to adaptively improve and denoise from artificially obscured and disruption included preparing cases.
Risk Factors for Self-Harm: Narratives from a Sample of Young People in Northern Ireland

ABSTRACT Self-harm continues to be a growing concern within adolescence and is a globally recognised public health and social problem. Adolescents living in the community who self-harm are extremely common however less is known about these young people. This study focussed on capturing the voice of young people who engage in cutting behaviour to provide insight into the risks associated with this phenomenon. Single semi-structured interviews were conducted with 9 adolescents aged 16–18 years who lived within one Trust area in Northern Ireland. Thematic analysis was applied to the transcribed interviews in which themes emerged. The three subordinate themes of onset, persistence and ending of the behaviour encompassed six sub-themes which were further identified as risk factors for the behaviour. Risk factors identified were: ACE’s, poor relationships and difficulties in support networks, exposure to self-harm, psychological issues, “addiction” to self-harm, concealment of harming behaviour—to control and professional and peer support that helps or hinders. These factors support the current literature base however individual and diverse explanations are highlighted which provide further depth, particularly around the concept of addiction and support that hinders young people. Despite the small nature of the study, recommendations for social work practice, clinical practice and other relevant professional practice as well as future research are considered in view of the findings. Key direction outlines the importance of building trusting relationships, continuity of care and continuing to listen to young people as vital to the helping relationship.
Hybrid Micro Genetic Algorithm Assisted Optimum Detector for Multi-Carrier Systems

A low-complexity detection scheme, which consists of a Hybrid Micro Genetic Algorithm (Hybrid- µGA), is proposed for Orthogonal Frequency Division Multiplexing (OFDM) systems. In the absence of orthogonality, intercarrier-interference (ICI) occurs because a signal from one subcarrier causes interference to others. In several environment, the OFDM signal reflections from a far obstacle generate inter-block-interference (IBI) due to long time delays. To avoid these unpleasant effects of IBI and ICI in OFDM system, a Hybrid-µGA detection algorithm is proposed. The proposed detector combines the conventional one-Tap equalizer and the Micro Genetic Algorithm (µGA) search engine. The output of one-Tap equalizer is considered as the input to µGA search engine. Therefore, the µGA starts with some knowledge rather than blindly to speed up the search. Theoretical analysis and simulation results show that the proposed detection Hybrid- µGA scheme substantially improves the performance of OFDM systems. Moreover, its complexity is 10 times lower than the conventional GA.
Range image-based density-based spatial clustering of application with noise clustering method of three-dimensional point clouds

Clustering plays an important role in processing light detection and ranging points in the autonomous perception tasks of robots. Clustering usually occurs near the start of processing three-dimensional point clouds obtained from light detection and ranging for detection and classification. Therefore, errors caused by clustering will directly affect the detection and classification accuracy. In this article, a clustering method is presented that combines density-based spatial clustering of application with noise and two-dimensional range image composed by scan lines of light detection and ranging based on the order of generation time. The results show that the proposed method achieves state-of-the-art performance in aspect of time efficiency and clustering accuracy. A ground extraction method based on scan line is also presented in this article, which has strong ability to separate ground points and non-ground points.
Multi‐source Statistics: Basic Situations and Methods

Many National Statistical Institutes (NSIs), especially in Europe, are moving from single‐source statistics to multi‐source statistics. By combining data sources, NSIs can produce more detailed and more timely statistics and respond more quickly to events in society. By combining survey data with already available administrative data and Big Data, NSIs can save data collection and processing costs and reduce the burden on respondents. However, multi‐source statistics come with new problems that need to be overcome before the resulting output quality is sufficiently high and before those statistics can be produced efficiently. What complicates the production of multi‐source statistics is that they come in many different varieties as data sets can be combined in many different ways. Given the rapidly increasing importance of producing multi‐source statistics in Official Statistics, there has been considerable research activity in this area over the last few years, and some frameworks have been developed for multi‐source statistics. Useful as these frameworks are, they generally do not give guidelines to which method could be applied in a certain situation arising in practice. In this paper, we aim to fill that gap, structure the world of multi‐source statistics and its problems and provide some guidance to suitable methods for these problems.
Detection System of Sound Noise Level (SNL) Based on Condenser Microphone Sensor

The research aims to know the noise level by using the Arduino Uno as data processing input from sensors and called as Sound Noise Level (SNL). The working principle of the instrument is as noise detector with the show notifications the noise level on the LCD indicator and in the audiovisual form. Noise detection using the sensor is a condenser microphone and LM 567 as IC op-amps, which are assembled so that it can detect the noise, which sounds are captured by the sensor will turn the tide of sinusoida voice became sine wave energy electricity (altering sinusoida electric current) that is able to responded to complaints by the Arduino Uno. The tool is equipped with a detector consists of a set indicator LED and sound well as the notification from the text on LCD 16*2. Work setting indicators on the condition that, if the measured noise > 75 dB then sound will beep, the red LED will light up indicating the status of the danger. If the measured value on the LCD is higher than 56 dB, sound indicator will be beep and yellow LED will be on indicating noisy. If the noise measured value <55 dB, sound indicator will be quiet indicating peaceful from noisy. From the result of the research can be explained that the SNL is capable to detecting and displaying noise level with a measuring range 50-100 dB and capable to delivering the notification noise in audiovisual.
Dynamic Interaction Between Private Savings, Public Savings and Economic Growth in Nigeria

The paper set out to examine the relationship between private savings, public savings and economic growth in Nigeria from 1970 to 2015. To carry out this investigation, the researcher employed Johanson cointegration test combined with the vector error correction model Wald Granger causality. The results of the analysis revealed the existence of cointegration among economic growth, private savings, public savings, and efficiency in the economy. Precisely, private savings rate have positive effect but insignificant effect on economic growth rate in the longrun, while public savings rate have negative but also insignificant effect on economic growth. Granger causality test reveals that there was bidirectional causality between private savings and economic growth and also between public savings and economic growth. Policy makers should be conscious of this fact, especially when projecting short, medium and long term expenditure of government. A budget proposal whereby the recurrent expenditure is significantly high will increase private income, while a reduction in all form of private and corporal taxes will enhance investment and thus promote economic growth. The government should therefore focus on development of infrastructural facilities to reduce the costs of doing business as well as increase the profitability of firms, thereby raising the economyâs production of goods and services.
Mother, consumer, trader: Gendering the commodification of second-hand economies since the recession

In Western contexts, ‘hand-me-down’ and sharing economies of children’s clothes, toys and equipment remain one of the most normalised cultures of second-hand consumption. This article explores the strategies used by mothers to realise the most economic value from these economies in current austere times with the increased possibilities offered by the democratisation of informal buying and selling spaces. Drawing on an ethnographic study of mothers participating in nearly new sales in the United Kingdom, the article outlines the myriad moralities influencing mothers’ everyday consumption, use and disposal of children’s goods. It argues that providing material goods for children is a thrifty skill with mothers thinking past point-of-purchase to the resale potential of second-hand items. This strategy of trading used children’s goods as a practice to circulate resources in the family and keep up with the commodification of childhood.
Multimodal Sensor-Fusion for Context-Aware Semi-Autonomous Control of a Multi Degree-of-Freedom Upper Limb Prosthesis

Objective. Dexterous control of myoelectric upper limb prosthesis is still limited by the capabilities of the modern human-machine interfaces. The first goal of the current work was to develop a system that supplements the academic myoelectric state-of-the-art interface during the interaction with objects (e.g., grasping, manipulation) with the goal of increasing the overall performances and robustness of the prosthetic device. Additionally, the current study aims to define guidelines for a larger-scale experiment to be performed in the immediate future. Approach. I developed algorithms, which provide context- and user-awareness to the system by fusing multimodal sensory input data, and a control scheme that employs such context-awareness to estimate the user’s grasp intentions to automatically preshape the prosthesis for grasping in real time. The control scheme was compared against the major academic state-of-the-art myoelectric control scheme (i.e., pattern recognition) in two able-bodied subjects. The experimental tests consisted of grasping, reorienting, and relocating sets of common objects using a multi-degree-of-freedom prosthesis with two grip types and two degrees-of-freedom actuated wrist. Main Results. The proposed semi-autonomous system was able to function in realistic and time-varying cluttered environments. The obtained results illustrate better and more consistent performances (i.e., lower task completion time and standard deviation) of the developed control scheme with respect to the state-of-the-art counterpart. Improvements in control robustness during object manipulation (i.e., lower number of object drops) have also been obtained. The current study helped in defining guidelines for the future larger-scale experiment: more than one experimental session, data logging and subjective measurements recording. Significance. The proposed system improves multiple aspects involved in the control of myoelectric multi-degree-of-freedom upper limb prostheses. The guidelines defined in this work, are essential for evaluating, during the future larger-scale study, the impact of the proposed system on users’ experience (e.g., workload and ease of use).
Analysis Of Social Interaction In Music Performance With Score-Independent Audio Features

Research on analysis of expressive music performance is recently moving its focus from a single player to small music ensembles, extending the analysis to the social interaction among the members of the ensemble. A step in this direction is the deﬁnition and the validation of a set of score-independent audio features that enable to characterize the social interaction in the ensemble, based on the analysis of the music performance. This paper focuses on the analysis of four different performances of a same music piece performed by a string quartet. The performances differ with respect to factors affecting the social interaction within the ensemble. The analysis aims at evaluating whether and to what extent a set of consolidated score-independent audio features, already employed for analysis of expressive music content and particularly suitable for string instruments, enable to distinguish among such different performances.
Which community, whose resilience? Critical reflections on community resilience in peri-urban Kathmandu Valley

ABSTRACT Development policy and practice is replete with assumptions that local “communities” have both the willingness and capability to adapt to socio-environmental changes and become “resilient” to multiple old and new challenges. This paper analyzes socio-environmental change processes in a dynamic peri-urban context in the Kathmandu Valley of Nepal, and argues that unequal power relations between diverse actors and their differing interests refute notions of “collective action” and “community resilience. ” Residents of peri-urban communities are diverse, have varying abilities and interests, and use different strategies and actions in response to complex socio-environmental changes. These differences reduce insecurities for some while reproducing inequalities for others. These interrelations at the local level are driven by wider socio-economic, political, and institutional processes that transcend community boundaries, interests, and benefits. In the face of these complexities, “community resilience” is an unviable, externally defined, and engineered goal, often at odds with the power discrepancies and heterogeneity found within actual communities. These findings suggest a need to pay attention to the social, economic, and political dynamics of socio-environmental changes that simultaneously shape local communities and their members’ abilities to respond to changes at various scales.
Global accounting standards - from vision to reality : IFAC

In June 1973, in recognition of the rapid globalization of the world's capital markets, the professional accountancy bodies in nine countries, including the United States, created the International Accounting Standards Committee (IASC). The IASC's stated mission was to 'formulate and publish in the public interest, basic standards to be observed in the presentation of audited accounts and financial statements'. Those nine professional bodies pledged in writing to use their best efforts to get the newly launched set of International Accounting Standards (IAS) adopted in their home countries and to 'promote their worldwide acceptance' and observance.