Miracle-dz/UniFAR-FTUs huggingface dataset:
The Use of Biosensor as a New Trend in Cancer: Bibliometric Analysis from 2007 to 2017

Nanotechnology is a multidisciplinary field that covers large areas of chemistry, physics, and biology as well as engineering. The application in medicine for diagnosis, prevention, and treatment of diseases, has become known as nanomedicine and is now an excellent tool for new nanotechnological applications, such as the use of biosensors. This study aimed to analyze bibliometrics related to applications in biosensors and the relative importance of these publications in cancer. The search base for articles was Google Scholar, due to the higher coverage of articles published in comparison to other databases of scientific publications, such as Pubmed and Science Direct. The obtained results showed that there was a decrease in the number of publications referring to cancer at the last decade (2007-2017), but there was an increase in the number of publications regarding the use of biosensors, showing an interest and tendency using new technologies for clinical diagnosis. Nanotechnology is a promising tool for the development of new diagnostic methods and its growth for the next decades is undeniable, including biosensors.
Overcoming the Challenges of Teaching Cybersecurity in UK Computer Science Degree Programmes

This Innovative Practice Full Paper explores the diversity of challenges relating to the teaching of cybersecurity in UK higher education degree programmes, through the lens of national policy, to the impact on pedagogy and practice.There is a serious demand for cybersecurity specialists, both in the UK and globally; there is thus significant and growing higher education provision related to specialist undergraduate and postgraduate courses focusing on varying aspects of cybersecurity. To make our digital systems and products more secure, all in IT need to know some cybersecurity – thus, there is a case for depth as well as breadth; this is not a new concern, but it is a growing one. Delivering cybersecurity effectively across general computer science programmes presents a number of challenges related to pedagogy, resources, faculty and infrastructure, as well as responding to industry requirements.Computer science and cognate engineering disciplines are evolving to meet these demands – both at school-level, as well as at university – however, doing so is not without challenges. This paper explores the progress made to date in the UK, building on previous work in cybersecurity education and accreditation by highlighting key challenges and opportunities, as well as identifying a number of enhancement activities for use by the international cybersecurity education community. It frames these challenges through concerns with the quality and availability of underpinning educational resources, the competencies and skills of faculty (especially focusing on pedagogy, progression and assessment), and articulating the necessary technical resources and infrastructure related to delivering rigorous cybersecurity content in general computer science and cognate degrees.Though this critical evaluation of an emerging national case study of cybersecurity education in the UK, we also present a number of recommendations across policy and practice – from pedagogic principles and developing effective cybersecurity teaching practice, challenges in the recruitment, retention and professional development of faculty, to supporting diverse routes into post-compulsory cybersecurity education (and thus, diverse careers) – to provide the foundation for potential replicability and portability to other jurisdictions contemplating related education and skills reform initiatives and interventions.
Gelebte Traumapädagogik im stationären Setting. Primärprävention von Gewalt und Deeskalation

Zum Alltag an einer Akutstation für Kinderund Jugendpsychiatrie gehört die besondere Patientengruppe der Kinder und Jugendlichen, welche traumatisierende Erfahrungen machen mussten. Es handelt sich um Kinder und Jugendliche, die in ihrer frühen Kindheit in den Familien anhaltende Erfahrungen von Gewalt, Verwahrlosung und Vernachlässigung machen mussten. Entwickeln diese Kinder und Jugendlichen dadurch chronische Traumafolgestörungen, kommen sie meist als Patientinnen und Patienten zu einem therapeutischen Aufenthalt, aber auch zu einem Krisenaufenthalt in die Abteilung. Ziel des Aufenthaltes ist zuerst die emotionale und soziale Stabilisierung. Der alltägliche Umgang und das Miteinander mit den Patientinnen und Patienten in der Gruppe stellt oft das gesamte Team vor große Herausforderungen. Die Grundsätze der traumapädagogischen Arbeit wurden häufig diskutiert. Ausgestattet mit dem entsprechenden Fachwissen ist es möglich, dass die Kinder und Jugendlichen die adäquate Stabilisierung und Behandlung bekommen, die sie benötigen. Grundlage hierfür ist die Schaffung eines möglichst sicheren Ortes mit verlässlichen und vertrauensvollen Beziehungen. Dabei spielen der Aufbau von Vertrauen und von professionellen Beziehungen sowie die Unterstützung bei der Bewältigung von traumatischen Ereignissen eine wichtige Rolle. Zu Beginn wurden ein kleines multiprofessionelles Team ausgebildet und die Grundsätze der Traumapädagogik als Konzept im Alltag implementiert. Damit die Implementierung an einer kinderund jugendpsychiatrischen Akutstation gelingen kann, bedarf es unterschiedlicher Voraussetzungen, welche sowohl strukturell als auch organisatorisch und personell auf der Ebene der Mitarbeiterinnen und Mitarbeiter zu denken sind. Allem voran steht jedoch die Etablierung der traumapädagogischen Grundhaltung im gesamten Team. Die wesentliche Basis der Traumapädagogik stellt die traumapädagogische Grundhaltung dar. Eine wertschätzende und verstehende Haltung bildet das Fundament. Die Patientinnen und Patienten haben in ihrem bisherigen Leben vieles überstanden und sind somit die Expertinnen und Exper-
Flipping Laboratory Sessions in a Computer Science Course: An Experience Report

Contribution: This article presents an experience report on the application of flipped classroom (FC) to the laboratory sessions (henceforth lab sessions) of an undergraduate computer science course. Background: Hands-on work in computer science lab sessions is typically preceded by technical instructions on how to install, configure, and use the software and hardware tools needed during the lab. In the course under study, this initial explanation took between 14% and 50% of the lab time, reducing drastically the time available for actual practice. It was also observed that students missing any of the labs had trouble catching up. Intended Outcomes: The application of FC is expected to increase the time for hands-on activities, and improve students’ performance and motivation. This improvement is expected to be more noticeable in those students who are unable to attend all lab sessions. Application Design: The study compares the application of FC and a traditional methodology. It encompasses two academic courses and involves 434 students and six lecturers. Findings: The FC is suitable for lab sessions in computer science. Among other results, flipping the labs resulted in 24 more minutes of practical and collaborative work on average at each lab session. It was observed a significant improvement in the motivation of students, with 9 out of every 10 students preferring it over traditional methodologies. Also, the FC made it much easier for students to catch up after missing a lab, making the final grades less dependent on lab attendance.
Polyether modified benzimidazole as corrosion inhibitor for copper in sodium chloride solution

A new kind of modified benzotriazole derivative with polyether chain o-phenylenediamine (OPD)/MPEM was synthesized as corrosion inhibition for copper in 3.5 wt. % NaCl solution. The corrosion inhibition efficiency was estimated usingf weight loss measurement, electrochemical methods (Tafel and EIS) and surface analysis scanning electron microscopy. Moreover, corrosion inhibition mechanism was also conducted by the electrochemical determination, the adsorption isotherm as well as the quantum chemical calculation computational methods. All measurements show that OPD/MPEM acts as an efficient corrosion inhibitor and also displays a superior ability to prevent the corrosion of copper in NaCl solution with approximately 88.0% inhibition efficiency at the low level of 60 mg L–1. Computational methods also tell that the inhibitors possess high reactivity and strong interaction on the iron surface. Furthermore, the conclusion is in good agreement with the experimental results.
Design and Evaluation of a Modulated TENS Stimulation in Medical Pain Therapy

Transcutaneous Electrical Nerve Stimulation (TENS) is a non-invasive pain therapy that uses the sensory effects of an electrical current applied to the skin. Some clinical studies demonstrated that this treatment helps to reduce acute and chronic pains, while others gave sometimes contradictory or uncertain conclusions about the performances of this strategy according to pathology classification. The purpose of this study is the development and evaluation of a new modulated version of transcutaneous electrical nerve stimulation called PWM-TENS. The principle is based on an automatic variation of the stimulation parameters (frequency, amplitude, duration, shape, cyclic ratio) according to the pain evolution. The study was a controlled clinical trial involving 15 participants, divided into 2 groups. The first experimental group performed modulated PWM-TENS electro-stimulation sessions applied to the painful areas 3 to 4 times a day, for one month. The second control group did parallel treatments by Placebo. The evaluation of the pain intensity is done with the Visual Analog Scale (EVA), the DN4 and SF36 questionnaires. The tests and measurements with our embedded PWM-TENS technique demonstrated that we succeeded to increase the analgesic effect after stopping the stimulation and reduced the pain sensation by about 60%. An improvement in pain intensity scores and questionnaires (EVA, DN4), as well as the quality of life score (SF36), was observed. Also, a reduction of the treatment period from 3 to 1 month was also obtained. The first results clinically observed in the PWM-TENS technique are encouraging. The findings of this study confirm that this noninvasive strategy is suitable and useful for acute pains coming from the nociceptive, neuropathic and musculoskeletal origin. However, its efficiency is moderated and less adapted for low back pain. The experiments make it possible to estimate whether this modulated TENS method could improve existing anti-pain therapies, taking into account objective and subjective evaluation criteria. But this study must be followed by large population samples to answer all the problems of acute and chronic pains.
Neutrophil to Lymphocyte Ratio in Early Diabetic Kidney Disease among Patients with Type 2 Diabetes Mellitus

Background: Few data are available about the role neutrophil to lymphocyte ratio (NLR) as an inflammatory marker in the early diabetic kidney disease (DKD). Methods: An observational study involving 416 adult patients with type 2 diabetes mellitus (DM) from one center. The study aimed at investigating the relationship between NLR and urine albumin creatinine ratio (uACR) as a marker of early DKD. Results: Among the 416 patients with type 2 DM (Median age 57 [11] years, 40% men and median duration of DM 10 [IQR: 5, 15] years), 169 patients developed albuminuria (Proportion 0.41; 95% CI 0.36, 0.45). The NLR levels were significantly higher among diabetic patients with albuminuria as compared to those without albuminuria; median 1.5 (IQR: 1.1, 2) vs 1.2 (IQR: 1, 1.9), p value 0.004. The receiver operating characteristic analysis of NLR revealed area under the curve of 0.58 (95% confidence interval Arch Clin Biomed Res 2020; 4 (5): 453-464 DOI: 10.26502/acbr.50170117 Archives of Clinical and Biomedical Research Vol. 4 No. 5 – October 2020. [ISSN 2572-9292]. 454 0.528 to 0.638; p 0.004). On multivariable analysis; the rate of albuminuria was found higher among patients with HTN (AOR 1.97, 95% CI 1.3 to 2.99; p 0.001); patients with A1c >7 (AOR 2.08, 95% CI 1.21 to 3.59; p 0.008) and patients with NLR score >1.25 (AOR 2.1, 95% CI 1.39 to 3.18; p <0.001). Conclusion: NLR was found to be an independent predictor of albuminuria in patients with type 2 DM.
Rapid and Sensitive Alignment-free DNA Sequence Comparison

When it comes to the analysis of biological sequences, alignment based methods have long been in the forefront for finding similarities between sequences, and in the classification of genetic sequences. Many of these methods date back to the 1970s and 80s, and while they are precise in their assessment of biological data, they suffer from high execution times as the amount of data grows. To counter this, new alignment-free methods have been developed, and a common practice in these new methods is to count the number of shared words of length k, or k-mers, in the sequences that are to be analysed. In this project, we use empirical analysis of randomly generated DNA sequences, the Rfam 11 database and the 16S RDP training set to investigate what is the optimal k-mer length, if we should allow mismatches in k-mers and whether the positions and number of occurrences of each k-mer might influence our classification methods one way or the other. Our research indicates that for short sequences of varying similarity, such as those in the Rfam database, a k-mer length of 8 yields high values for sensitivity and precision, while a length of 11 performs slightly better, if one mismatch is allowed in each k-mer. For the longer and more similar sequences in the RDP training set, k-mers of length 6 or more perform equally good, and the introduction of mismatches in kmers for these sequences do not improve the sensitivity or precision of our analysis. We conclude that certain variations on the implementation of kmers, such as mismatches and counting the number of occurrences of each word, might improve sensitivity and precision in certain instances, but that no k-mer implementation is universally best for the different data sets we have tested.
Empathische Erfassung, Reflexion und interner Dialog in der Sozialen Arbeit

Soziale Arbeit als Beruf und Praxis ist ein wesentlicher und bestimmender Bereich der menschlichen Problemlösung. In Bezug auf ihre Methoden und ihr allgemeines Wissen ist sie ein hochkomplexer, humanspezifischer Hilfsberuf im dreifachen Kontext der ProblemRessourcen-Autonomie Problematik, dessen Legitimität sich aus den interpersonalen Interaktionen ergibt Die gesammelte Übung und Erfahrung sind unverzichtbare Partien des Wissensorganums, die den Anwendern Reife und ständige Entwicklungsfähigkeit verleiht. Die berufliche Persönlichkeit, ihre inhaltliche Kohärenz steht im Mittelpunkt der Entwicklung, die auch das wichtigste Instrument zur Unterstützung ist. Reflexion, sowie Selbstund Fremdreflexion ist aber eine konkrete Annäherung im Kontext der Sozialen Arbeit. Dies hilft dem Anwender, ein selbstbewusstes und reiches Persönlichkeitserlebnis zu erreichen.
DLGAN: Depth-Preserving Latent Generative Adversarial Network for 3D Reconstruction

Although deep networks based methods outperform traditional 3D reconstruction methods which require multiocular images or class labels to recover the full 3D geometry, they may produce incomplete recovery and unfaithful reconstruction when facing occluded parts of 3D objects. To address these issues, we propose Depth-preserving Latent Generative Adversarial Network (DLGAN) which consists of 3D Encoder-Decoder based GAN (EDGAN, serving as a generator and a discriminator) and Extreme Learning Machine (ELM, serving as a classifier) for 3D reconstruction from a monocular depth image of an object. Firstly, EDGAN decodes a latent vector from the 2.5D voxel grid representation of an input image, and generates the initial 3D occupancy grid under common GAN losses, a latent vector loss and a depth loss. For the latent vector loss, we design 3D deep AutoEncoder (AE) to learn a target latent vector from ground truth 3D voxel grid and utilize the vector to penalize the latent vector encoded from the input 2.5D data. For the depth loss, we utilize the input 2.5D data to penalize the initial 3D voxel grid from 2.5D views. Afterwards, ELM transforms float values of the initial 3D voxel grid to binary values under a binary reconstruction loss. Experimental results show that DLGAN not only outperforms several state-of-the-art methods by a large margin on both a synthetic dataset and a real-world dataset, but also predicts more occluded parts of 3D objects accurately without class labels.
Smart Applications in Edge Computing: Overview on Authentication and Data Security

As a new computing paradigm, edge computing has appeared in the public field of vision recently. Owing to its advantages of low delay and fast response, edge computing has become an important assistant of cloud computing and has brought new opportunities for diverse smart applications like the smart grid, the smart home, and the smart transportation. However, the accompanying security issues, which have always been the focus of users’ concern, still cannot be ignored. Therefore, we focus on the security issues in this overview. We first introduce some related definitions of edge computing and present the architecture for edge computing-based smart applications. After illustrating the smart applications, from the perspective of identity authentication and data security, we analyze the security protection requirements of these smart applications in the edge computing environment. Next, we review some state-of-the-art works on them. Furthermore, we present the extended discussions on the applicability of these current works in the edge computing environment. Finally, we briefly discuss the future work on authentication and data security of edge computing-based smart applications.
Static analysis and strength calculation of drive shaft of large-scale cone crusher

The paper analyzes the causes of failures of coarse crushers “KKD 1500-180” at JSC “Almalyk MMC”. It has been established that the most common cause of these failures is a drive shaft failure. Static analysis of the strength of the drive shaft was performed using Autodesk Inventor 2020 CAD software. A dangerous shaft section was found, and recommendations aimed at improving its operability were proposed.
Trust-Aware Service Offloading for Video Surveillance in Edge Computing Enabled Internet of Vehicles

Internet of Vehicles (IoV) supports multiple traffic services by processing abundant data from sensors and video surveillance devices. With edge computing, video surveillance services can be certainly improved due to the handy resource provision for video storage and processing. Generally, to reduce the hardware and maintenance investment, it is a popular manner to deploy the limited amount of edge nodes along with the surveillance devices. However such edge node layout leads to the unstable service distribution and complicated data transmission across the surveillance devices and edge nodes, which consequently decreases the quality of the surveillance services. In addition, the service trustworthiness is suspected since the privacy information may be revealed to some extent during the data transmission. To combat these challenges, a trust-aware task offloading method (TOM) for video surveillance in edge computing enabled IoV is presented for minimizing the response time of the services, achieving the load balance of the edge nodes and realizing privacy protection. Technically, SPEA2 (improving the strength Pareto evolutionary algorithm) is employed to acquire balanced task offloading solutions. Then, TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and MCDM (Multiple Criteria Decision Making) are exercised to ascertain the optimal solution. Finally, the experimental simulation demonstrates that TOM performs efficient and trust.
REGULATION OF GABA RELEASE BY PRESYNAPTIC CAV2.2 IN THE BASOLATERAL AMYGDALA AND INFRALIMBIC CORTEX

Anxiety is linked to dysregulation of neuronal activity in several brain regions including the infralimbic (IL) area of the medial prefrontal cortex (mPFC) and the basolateral nucleus of the amygdala (BLA). Disruptions to the balance of excitatory and inhibitory signaling in these regions are implicated in anxiety-like behaviors in animals and anxiety disorders in humans. The neuronal circuitry between excitatory neurons, known as pyramidal cells (P-cells), and inhibitory neurons, known as interneurons (INs), is a primary target for anxiety modulation at the cellular level. INs, particularly the subtype that contain the neuropeptide cholecystokinin (CCK+INs), form inhibitory synapses around P-cells. Through GABAergic neurotransmitter release, CCK+INs regulate P-cell activity and subsequent anxiety-related neuronal output. Two protein complexes, the N-type calcium channel (CaV2.2) and the type-1 cannabinoid receptor (CB1), are expressed in the presynaptic terminal of CCK+INs. CaV2.2 and CB1 have been shown to regulate neurotransmitter release from CCK+INs in the hippocampus, but it is not known if this role is conserved in the anxiety-related neuronal circuits of the BLA and IL. CaV2.2 has also been shown to regulate the intrinsic firing properties of P-cells in the hippocampus and deep cerebellar nuclei, but this role has not been demonstrated in the IL. To investigate these neuronal circuits, I used a combination of transgenic mouse models, confocal microscopy, patch-clamp electrophysiology, optogenetics, and pharmacology. In the first chapter of my thesis, I investigated the role of CaV2.2 in CCK+IN/P-cell synapses in the BLA. In the second chapter of my thesis, I investigated the role of CB1 in regulating GABA release from CCK+INs in the BLA. In the third chapter of my thesis, I assessed the regulation of GABA release and intrinsic firing by CaV2.2 in the IL. I present electrophysiology data which demonstrate GABA release from CCK+INs is partially CaV2.2-dependent in the BLA. I obtained preliminary electrophysiology recordings which suggest CB1 receptors modulate GABA release in CCK+IN/P-cell synapses in the BLA. I found that neurotransmitter release from GABAergic INs is partially CaV2.2-dependent in the IL. I found that GABA release from CCK+INs is not CaV2.2-dependent in this region. Lastly, I observed that CaV2.2 plays a minimal role in the intrinsic firing properties of P-cells in the IL. My findings suggest that CaV2.2 differentially regulates GABA release and intrinsic firing properties across brain regions, suggesting there are region-specific implications of CaV2.2 modulation in anxiety-related neuronal output.
Shaping the Directionality of Sustainability Transitions: The Diverging Development Patterns of Solar PV in Two Chinese Provinces

A limited set of studies have addressed how actors shape the directionality of sustainability transitions. Building on recent institutional work literature, this article explores how specific institutional activities developed by both niche and regime actors across spatial levels shape the directions of transition. We examine two cases with contrasting directionalities: solar PV in the provinces of Inner Mongolia and Jiangsu, both located in China. The former developed PV as part of the large-scale centralised power system and the latter focused on PV development as a core element of an alternative distributed form of power generation. We investigate provincial differences as well as the state-provincial dynamics. The article therefore develops a multi-scalar understanding of institutional work. Our research findings suggest three aspects have been key for understanding the divergent patterns: the specific portfolios of enacted institutional work, the type of interactions between niche and regime actors and the selective leveraging of institutional conditions at national by provincial actors. Based on these findings we formulate four propositions and propose a novel conceptual framework to investigate how actors shape the directionality of sustainability transition.