Miracle-dz/UniFAR-FTUs huggingface dataset:
Hybrid Intrusion Detection Method Based on K-Means and CNN for Smart Home

This paper reviews the problem of instrusion detection for Smart Home and different approach to detect instrusion. A hybrid instrusion detection method based on Convolutional Neural Networks(CNN)and K-means is proposed in this paper. At smart home device node, K-means is used to generate the rule base by clustering, then Principal Component Analysis(PCA)is used to extract the dimensionality reduced features. During the test process, PCA is also used to extract the dimensionality reduced features, the feature matching is performed with the rule base to determine the intrusion data. At the smart home server side, a CNN model is proposed to detect the specific type of intrusion. Combined with Synthetic Minority Oversampling Technique(SMOTE)and undersampling techniques, the CNN model has great performance in reducing missing report rate(MRR)in minority categories. The results of the experiment conducted in KDD99 dataset show that such a hybrid method can improve the detection rate of smart home intrusion detection system and reduce MRR in minority categories.
Needle Intervention Robot-Assisted Driving System with Augmented Haptic Force Feedback Facility

Manual needle intervention into brain can be highly risky since needle is senseless. Such sophisticated task can only be securely performed either by experienced surgeons or through augmented feeling. Robot-assisted needle intervention is highly preferable because of its capability in augmented haptic force feedback. This research presents novel table-mounted 4-DOFs surgical robot on slave side to achieve required position and orientation, through which the surgical needle can be inserted and extracted with augmented force feedback facility. Surgical results in beef and chicken are slightly different due to the difference in tissue physical properties. The generated force obtained in beef tissue is larger than that in chicken tissue. The experimental results verify that the proposed needle intervention system with augmented haptic force feedback brings significant advancement in robotic-assisted surgical procedure. In addition, the system is able to respond according to the stiffness of experimental sample.
Re-Representing Metaphor: Modeling Metaphor Perception Using Dynamically Contextual Distributional Semantics

In this paper, we present a novel context-dependent approach to modeling word meaning, and apply it to the modeling of metaphor. In distributional semantic approaches, words are represented as points in a high dimensional space generated from co-occurrence statistics; the distances between points may then be used to quantifying semantic relationships. Contrary to other approaches which use static, global representations, our approach discovers contextualized representations by dynamically projecting low-dimensional subspaces; in these ad hoc spaces, words can be re-represented in an open-ended assortment of geometrical and conceptual configurations as appropriate for particular contexts. We hypothesize that this context-specific re-representation enables a more effective model of the semantics of metaphor than standard static approaches. We test this hypothesis on a dataset of English word dyads rated for degrees of metaphoricity, meaningfulness, and familiarity by human participants. We demonstrate that our model captures these ratings more effectively than a state-of-the-art static model, and does so via the amount of contextualizing work inherent in the re-representational process.
A Qualitative Exploration of Parental Views When Comparing Individual to Group Sports in Children with Autism Spectrum Disorder—A Pilot Study

(1) Background: Physical activity is important for children with autism spectrum disorder. This study aimed to analyse autistic children’s and their parents’ preferences between group and individual physical activity, while exploring potential social barriers that they might encounter. (2) Methods: Retrospective analysis identified 701 new referrals received by the Maltese national child and adolescent mental health service, between 2016 and 2017. Of them, 24 received a sole diagnosis of autism and 10 were chosen via purposive sampling. A semi-structured interview guide was created, including readability testing, translation/back-translation, inter-rater agreements, and focus group testing. Parents were informed, consented, interviewed and thematic analysis carried out. Further quantitative data were tabled accordingly. (3) Results: Only one child met World Health Organisation recommendations for physical activity. More children preferred individual sports while parents described more benefits with group sports. Parents’ perceived benefits with group sports included better socialization, while improved levels of self-esteem and coping with anxiety were highlighted benefits for individual sports. Parents felt misunderstood, burnt out, and described a lack of autism-friendly sports facilities, including geographical disproportionation of adequate facilities on the island. Too much screen time was a major parental concern. (4) Conclusion: Recommendations aim to develop sport therapy systems and well-resourced services in Malta. Staff training is recommended to improve service quality.
Community Detection Algorithm For Complex Networks Based on Information Entropy Similarity

Community structure is one of the most common and important topological properties of complex networks and community detection provides crucial significance to the study of network characteristics. In the paper, incorporating the information entropy theory, the similarity between nodes and community is redefined, and a heuristic community detection algorithm is proposed, which is called Community Detection Algorithm Based on Information Entropy Similarity (referred as IES algorithm for short). Experimental results demonstrate that the proposed IES algorithm outperforms three traditional methods GN, Fast Newman and CPM algorithm on the karate clubs networks, dolphin social networks and football networks: the modularity value $Q$ of IES algorithm is obviously higher than the other three algorithms, the time complexity and space complexity of IES algorithm are lower than both GN and Fast Newman algorithms, and the efficiency of community partition is also higher. Compared with IE algorithm which is also based on information entropy similarity, the experimental results on Scientists Collaborate Networks further prove that the IES algorithm is more reasonable in the convergence and the community detection rationality.
Prediction of Adrenocortical Carcinoma Relapse and Prognosis with a Set of Novel Multigene Panels

Simple Summary Adrenocortical carcinoma (ACC) is a rare but aggressive cancer with a high rate of fatality. Accurate prediction of cancer relapse following therapy and prognosis (fatality) is essential to improve patient management. This research aims to significantly increase this prediction capacity. We produced four multigene sets: Sig27var25, SigIQvar8, SigCmbnvar5, and SigCmbn_B. These panels have not been studied in ACC and are thus novel. Importantly, they predict ACC’s relapse and death risk with impressively high levels of accuracy. At the disease level, these multigene panels are associated with critical ACC factors, including TP53 gene mutation and changes in immunological processes. Furthermore, we discovered a new ACC factor in predicting ACC relapse and fatality: mesenchymal stem cells (MSCs). Sig27var25, SigIQvar8, SigCmbnvar5, and SigCmbn_B all strongly correlate with MSCs. Collectively, the identification of MSC association with ACC advances our understanding of ACC; Sig27var25, SigIQvar8, SigCmbnvar5, and SigCmbn_B possess significant potential in improving ACC management. Abstract Effective assessment of adrenocortical carcinoma (ACC) prognosis is critical in patient management. We report four novel and robust prognostic multigene panels. Sig27var25, SigIQvar8, SigCmbnvar5, and SigCmbn_B predict ACC relapse at area under the curve (AUC) of 0.89, 0.79, 0.78, and 0.80, respectively, and fatality at AUC of 0.91, 0.88, 0.85, and 0.87, respectively. Among their 33 component genes, 31 are novel. They could be differentially expressed in ACCs from normal tissues, tumors with different severity (stages and lymph node metastasis), ACCs with TP53 mutations, and tumors with differentially expressed immune checkpoints (CTLA4, PD1, TGFBR1, and others). All panels correlate with reductions of ACC-associated CD8+ and/or NK cells. Furthermore, we provide the first evidence for the association of mesenchymal stem cells (MSCs) with ACC relapse (p = 2 × 10−6) and prognosis (p = 2 × 10−8). Sig27var25, SigIQvar8, SigCmbnvar5, and SigCmbn_B correlate with MSC (spearman r ≥ 0.53, p ≤ 1.38 × 10−5). Sig27var25 and SigIQvar8 were derived from a prostate cancer (PC) and clear cell renal cell carcinoma (ccRCC) multigene signature, respectively; SigCmbnvar5 and SigCmbn_B are combinations of both panels, revealing close relationships of ACC with PC and ccRCC. The origin of these four panels from PC and ccRCC favors their prognostic potential towards ACC.
Epidemiology of sexual disorders in general medical practice: An Italian survey

Objective: To report the results of a survey supported by the Italian Andrological Association (ASS.A.I.), aimed at documenting sexual disorders in a large population of patients who visited general practitioners for general health problems. Methods: Between April and October 2016, 15,000 questionnaires were distributed to general practitioners throughout Italy and made available to all the people who visited the doctor’s offices. The data were collated separately for age ranges, 15–30, 31–50 and 51–65 years, respectively. Results: A final sample of 5441 questionnaires was evaluable (4000 men and 1441 women). Sexual disorders were reported by 1795 out of 5441 (33.0%) patients. Among the male population, phimosis, varicocele, prostate and testicular disorders were the most common conditions interfering with sexuality, being reported by 42.0%, 37.0%, 39.0% and 31.0% of the sample, respectively. Furthermore, erectile dysfunction, sexually transmitted diseases, infertility, premature ejaculation and penile curvature were reported by 27.7%, 27.0%, 17.0%, 14.4% and 7.8% of the male sample, respectively. Among the female population, low sexual satisfaction was the more common complaint, reported by 65.0% of the sample. Sexually transmitted diseases, low libido, dyspareunia, infertility and arousal disorder were reported by 32.0%, 29.0%, 24.0%, 24.0% and 19.7% of the female sample, respectively. Conclusion: Our data show sexual disorders among 33.0% of people visiting doctors’ offices. The majority of these sexual disorders increased with age among both male and female subjects. Despite the limitations of our study, we consider that these data confirm the importance of sexual function evaluation during a physician’s daily clinical practice.
Change of Fatigue and Mechanical Fracture Properties of a Cement Composite due to Partial Replacement of Aggregate by Red Ceramic Waste

Fine-grained cement-based composites used in civil engineering and construction industry are usually made of cement-based matrix and natural aggregate (such as sand, gravel, crushed stone, etc.). Red ceramic waste aggregate is considered as a perspective replacement of a part of natural aggregate in modern environmentally oriented building materials. Fine-grained cement composite with natural aggregate partially replaced by ceramic waste aggregate usually show different mechanical fracture characteristics from ordinary fine-grained concrete. The specimens were tested at six different ages. This was the reason for conducting the research programme. Altogether, 6 fine-grained cement mixtures with various proportions of natural and red ceramic waste aggregate were prepared. The aim of this paper is to present and compare mechanical fracture properties obtained from static and fatigue tests. Bulk density, flexural and compressive cube strength, fracture toughness and fatigue properties (S−N − Wöhler curve) were of special interest. All of these tests are important for a practical application of concrete with ceramic aggregate for structures. All the results were statistically analysed and they showed that the fatigue and mechanical fracture properties were improved or at least kept up with the increasing levels of red ceramic waste aggregate. Environmental impact of application in construction industry of composites in question is discussed.
Borrowed Address Assignment Algorithm Based on Recursive Reduction Model in ZigBee Networks

Aiming at the problem that the existing ZigBee network borrow address assignment algorithm has many orphan nodes and the lower success rate of address assignment, a borrowed address assignment algorithm based on recursive reduction model in ZigBee networks is proposed. The algorithm uses the exponential relationship between the number of router nodes and the network depth in the DAAM algorithm to construct a recursively reduced router node model to provide reserved address space for orphan nodes. Theoretical analysis shows that the algorithm has the same time and storage complexity as the DAAM algorithm. The simulation results show that the algorithm outperforms the DAAM, DAAM-THN, SOSSA and ASTJ algorithms in terms of the success rate of address assignment, and the average time-consuming of assigning address etc.
Optimization of Compact UWB Monopole Antenna with Tapered Connection and Linier Tapered Transformer

A very compact UWB monopole antenna with stable radiation pattern is presented. The antenna is constructed on FR4 with dielectric constant of 4.4 and 1.6 thickness. The antenna has a bandwidth of 4.2 - 11.2 GHz. The antenna impedance adjustment process in the UWB frequency range can be adjusted by optimizing the tapered side and linear tapered transformers. The antenna structure have the same radiator and ground plane width. A partial ground plane produces an antenna with a stable omnidirectional radiation pattern for all UWB frequency bands. The antenna gain also shows very stable with a maximum gain of 3.5 dBi.
CROSS-CULTURAL ANALYSIS OF PERCEPTIONS OF ENVIRONMENTAL CHARACTERISTICS IN THE TARGET SELECTION PROCESS FOR RESIDENTIAL BURGL ARY

What are the environmental characteristics that constitute the burglars ’ template used in their target selection? Are there any similarities or differences in a burglar ’ s template for burglary across cultures? This study attempts to answer these research questions by carrying out experiments, developing a simulated model of burglars ’ target selection processes, in Korea and the United States. In developing the simulation model, 12 imaginary blocks and 109 dwelling units were constructed to test the hypothesis in relation to a burglar ’ s block and dwelling unit selection. The results of the experiments showed that both culture groups had similar patterns in perceiving environmental characteristics suitable for residential burglary, except for a few differences. Both groups showed a similar pattern of balancing risk and ease factors in their target selection. Overall, both groups considered risk factors as relatively more important than ease factors in decision making. However, the Korean group showed a relatively balanced consideration of risk and ease factors in dwelling unit selection than the US group.
A Novel Image Model of Point Clouds and its Application in Place Recognition

In this paper, we present a novel panoramic image model for scattered point clouds, and apply it to the problem of place recognition. We project a point cloud onto a sphere, and then the sphere is divided into a set of individual grids by longitudes and latitudes. Each grid is regard as a pixel and its value is computed using the geometrical relationship among the points in the grid and its neighbors. For convenience, the sphere is transferred into a flat. Since point clouds are converted to 2D images, we use ORB features and bag of words technique to solve place recognition problem. Our experimental results show that our image model is a more universal one and achieve a good performance in place recognition in both accuracy and efficiency.
Hard and Soft Switching for Indoor Hybrid VLC/RF Systems

The paper is dedicated to analysis of hard switching (HS) and soft switching (SS) methods for hybrid VLC/RF systems. VLC communication is well known for its efficient high data rate service for short range wireless communication, however it relies on the condition of line of sight link. Its counterpart, RF communication, is easy to implement and widely available in most places. In this work, we consider hybrid VLC/RF system which takes advantages of both links by implementing HS and SS methods. In HS, either VLC or RF, whichever has higher throughput, is selected. In SS, on the other hand, data is transmitted though both links simultaneously however the total available electrical power is shared between the links. We demonstrate that SS outperforms HS when the power is optimally shared between the VLC and RF links.
Nutrient Sensing by Hypothalamic Tanycytes

Nutritional signals have long been implicated in the control of cellular processes that take place in the hypothalamus. This includes food intake regulation and energy balance, inflammation, and most recently, neurogenesis. One of the main glial cells residing in the hypothalamus are tanycytes, radial glial-like cells, whose bodies are located in the lining of the third ventricle, with processes extending to the parenchyma and reaching neuronal nuclei. Their unique anatomical location makes them directly exposed to nutrients in the cerebrospinal fluid. Several research groups have shown that tanycytes can respond to nutritional signals by different mechanisms, such as calcium signaling, metabolic shift, and changes in proliferation/differentiation potential. Despite cumulative evidence showing tanycytes have the molecular components to participate in nutrient detection and response, there are no enough functional studies connecting tanycyte nutrient sensing with hypothalamic functions, nor that highlight the relevance of this process in physiological and pathological context. This review will summarize recent evidence that supports a nutrient sensor role for tanycytes in the hypothalamus, highlighting the need for more detailed analysis on the actual implications of tanycyte-nutrient sensing and how this process can be modulated, which might allow the discovery of new metabolic and signaling pathways as therapeutic targets, for the treatment of hypothalamic related diseases.
Succession Planning and Family Business Continuity: Perspectives From Lagos State, Nigeria

Environment scrutiny has shown that family businesses are the common form of business in Nigeria and their going concern has generated academic debate and public discourse worldwide. Yet, the features orchestrating continuity in these family businesses are different and geographically diverse. One of the major issues to which this can be attributed to is the uncommonness of adequate succession planning practices. The objective of this paper is to examine the effect of succession planning on family business continuity in Lagos State, Nigeria. A survey research design was adopted for this paper with 503 selected SMEs operating in Lagos State as the target population. Taro Yamane sample size method was adopted and data was collected through the use of structured questionnaire adapted and validated for the study. The Cronbach’s alpha coefficient for the questionnaire items ranges between 0.850 and 0.775. The questionnaire response rate was 93.20%. The gathered data were analyzed using descriptive and inferential (Pearson product moment correlation and regression analysis) statistics. The analysis of the data revealed that succession planning had a significant effect on family business continuity (R=0.738, R2 =0.545, Adj. R2 = 0.538, F (78.821) =1.95); p<0.05). This paper concluded that, succession planning is pertinent to the enhancement of continuity in family businesses in Lagos State. The paper therefore, recommend that for family businesses to continue to perform and achieve continuity, succession planning must be put into strategic plan of the organization so that employees have adequate leadership competence and mentoring culture.
Logistic Principle Component Analysis (L-PCA) for Feature Selection in Classification

In Data Mining, especially when datasets are complex with many features existed. Data preparation and analysis may be necessary in implement effective data mining model, especially in classification of high dimensional data where not all features are important in the mining process. Hence, feature selection is an essential in data preprocessing. A well known technique in selecting useful attributes is Principle Component Analysis (PCA). The technique assigns a value to each component (feature), so order of importance among components can be apparent. This work presents a new feature selection method. It improves the effectiveness of PCA by means of utilizing the Logistic Function to become Logistic Principle Component Analysis (L-PCA). PCA and L-PCA are compared by means of classifying ten public domain datasets. The result reveals that L-PCA is superior to PCA and able to select crucial features more efficiently.
Light matter interaction enhancement through spatial confinement in the THz range: towards spectral analysis of single objects

We explored two ways to enhance light matter interaction in the THz range through spatial confinement of the electric field. Firstly, a broadband metallic waveguide with low losses and low dispersion used in a TDS setup to measure samples with volume as low as 200pL. In this proceeding, we explore a resonant structure allowing for tighter confinement at the price of narrower bandwidth. Split ring resonators are resonant structures analogous to LC circuit, where the electric field is confined in the capacitive part of the device. We fabricated SRRs with capacitive gaps as small as 30nm for measurements on extremely low volume sample such as macromolecules or viruses.
Peer Observation of Teaching: A University Profesora and a Lower-school Maestra Learn from Each Other

Abstract:This short-form article describes an informal, non-evaluative peer observation project undertaken by the authors who are Spanish teachers at two different institutions, one a university and the other a K–8 school. The authors describe the rationale for undertaking the project, their individual teaching contexts, and their joint process in this work. They also detail the benefit they received through their participation and go on to make recommendations for other teachers who may want to engage in a peer observation project with colleagues.
Impedance Based Stabilization Control Method for Reduced DC-Link Capacitance IPMSM Drives

The instability issue is an important concern in the reduced dc-link capacitance motor drive system, which is caused by the interaction of the LC resonance and the negative impedance of the constant power load (CPL). Harmonics of the grid current also need to be concerned to meet the requirement of the application standards. In this paper, the impedance model of the drive system is established considering the dc-link voltage fluctuation, which is applied to evaluate the drive system stability. The grid current harmonics issue could also be analyzed by the grid input impedance model. A novel grid current feedback based stabilization control method is proposed to stabilize the drive system, which could formulate the Nyquist plot of the drive system. Besides, the grid current harmonics could also be suppressed effectively by adopting the proposed stabilization control method. Experimental results are performed to verify the effectiveness of the proposed method.