Miracle-dz/UniFAR-FTUs huggingface dataset:
Coordinated Cloud-Edge Anomaly Identification for Active Distribution Networks

The extensive integration of distributed energy resources transforms the conventional power distribution network into a complex, tightly-coupled cyber-physical system denoted as active distribution network (ADN). In this paper, a data-driven anomaly identification method based on the cloud-edge computing architecture is proposed to reduce the complicated risk of ADN operations. Especially, the proposed method would serve as a widely applicable and efficient line of defense against either cyber or physical anomalies. On one hand, a hierarchical data flow scheme is designed to balance the timeliness and economical requirements of anomaly identification by taking advantage of coordinated cloud-edge computing. On the other hand, an integrated algorithm is proposed on the basis of the proposed data flow architecture in order to identify anomalies with satisfactory robustness and accuracy, even under complicated operating conditions. Results of numerical experiments have validated the computational superiority of the proposed method over the state-of-the-art by simulating a variety of physical faults and cyber attacks.
Intracerebroventricular Administration of Human Umbilical Cord Blood—Derived Mesenchymal Stem Cells Induces Transient Inflammation in a Transgenic Mouse Model and Patients with Alzheimer’s Disease

Previously we conducted a Phase I/IIa clinical trial in nine patients with mild to moderate Alzheimer’s disease (AD). Unexpectedly, all patients who were given injections of human-umbilical cord-blood-derived mesenchymal stem cells (hUCB-MSCs) developed fever which subsided after 24 h. Several possible causes of transient fever include bacterial infection, inflammatory reaction from the cell culture media composition, or the cells themselves. To delineate these causes, first we compared the levels of several cytokines in the cerebrospinal fluid (CSF) of AD patients who received saline (placebo) or hUCB-MSC injections, respectively. Compared to the placebo group, tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), interleukin-6 (IL-6), and c-reactive protein (CRP) levels were increased in the hUCB-MSC group. Negative bacterial culture results of the CSF samples and the fact that the same hUCB-MSC administration procedure was used for both the placebo and hUCB-MSC groups ruled out the bacterial infection hypothesis. However, it was not yet clear as to whether the transplanted cells or the composition of the cell culture media generated the transient fever. Therefore, we carried out intracerebroventricular (ICV) injections of hUCB-MSCs in a 5xFAD mouse model of AD. Interestingly, we discovered that pro-inflammatory cytokine levels were higher in the hUCB-MSC group. Taken together, our data suggest that the cause of transient inflammatory response observed from both the clinical trial and mouse study was due to the transplanted hUCB-MSCs.
Attractive Quality Attributes of English Language Teaching at Two East Asian Universities

In the emerging global information society, a high level of English proficiency can be an important advantage for Asian countries. Likewise, enhanced quality of English teaching can help universities to better equip their students to achieve global competitiveness. The purpose of this study was to determine the attractive quality attributes of English language teaching as perceived by students at two universities in East Asia. The study consisted of two student populations from two countries. The first sample included 30 undergraduate students in Indonesia. The second sample included 40 undergraduate students in Taiwan. A survey instrument was designed based on the Kano Model to collect data for this study. Quality attributes of English language teaching were categorized in accordance with the Kano evaluation table. This study successfully utilized the Kano Model to identify attractive quality attributes of English language teaching for two different student populations. Findings of the study revealed that English curriculums should be specially developed according to the specific student needs in different countries. It is concluded that the Kano Model can be used effectively to assess quality in English teaching. Further studies should be conducted integrating the Importance-Satisfaction Model to evaluate faculty’s quality performance.
Performance of Machine Learning Techniques in Anomaly Detection with Basic Feature Selection Strategy - A Network Intrusion Detection System

With the proliferation of internet users around the world, it is becoming imperative to make communications safer than before. A network intrusion detection system is pivotal for network security because it enables us to detect and respond to malicious traffics. There are several ways and available tools to detect attacks in a computer network but machine learning techniques are one of the most efficient methods to detect abnormal traffics precisely and accurately. In this work, a method has been demonstrated to classify if incoming network traffic is normal or anomalous using machine learning techniques. Several classifiers have been evaluated based on the NSLKDD dataset. Experiments were conducted with k-nearest neighbor, decision tree, naȉve Bayes, logistic regression, random forest, and their ensemble approach. A basic feature selection strategy has been applied to reduce the calculation time complexity and dataset’s dimension. The highest accuracy obtained 99.5% with a 0.6% false alarm rate.
INVERSE DISTANCE INTERPOLATION FOR USED IN UNSTRUCTURED MESH FINITE VOLUME SOLVER

This article discusses adjusting inverse distance interpolation for use in unstructured mesh finite volume solutions. The adjustment was made on the weight function of the inverse distance interpolation using the Laplacian of the flow variable inside a Voronoi-dual of finite volume cells. We tested the accuracy of the adjusted inverse distance interpolation on two-dimensional potential flows. It was found that the adjusted and standard inverse distance interpolations have a similar degree of accuracy when used in unstructured, Delaunay based, finite volume mesh. However, the L1 norm error of the adjusted version of the inverse distance interpolation was much smaller than L1 norm error of the standard inverse distance interpolation.
Responding to the Antisocial Personality Disorder and Narcissistic Personality Disorder: Etiology, Challenges, and Treatment

Personality disorder: the set of enduring behavioral and mental traits that distinguish an individual from other people. Based on the DSM-5, ten different personality disorders are grouped into three clusters based on common features—— cluster A, cluster B, and cluster C. The paper focuses on cluster B, which is characterized by personality styles that are impulsive, dramatic, highly emotional, and erratic. Cluster B disorders include antisocial personality disorder, histrionic personality disorder, narcissistic personality disorder, and borderline personality disorder. The paper mainly discusses antisocial and narcissistic personality disorder. A person with antisocial personality disorder continuously violates the rights of others; often lies, fights, and has problems with the law; he or she can be deceitful and manipulative to gain profit or pleasure, and the patient lacks feelings for others and remorse over misdeeds. And people with narcissistic personality disorder have an overinflated and unjustified sense of self-importance and are preoccupied with fantasies of success. They believe they are entitled to special treatment from others, take advantage of others, and lack empathy. Case studies involved in the following paper will give authentic examples to demonstrate the specific symptoms of those disorders. Based on the features of being hard to communicate with, lacking remorse, tending to be violent, and being difficult to realize that they need psychological or medical help, patients with cluster B disorders are difficult to be treated. Although some treatments are developed and used to treat those disorders, few of them are effective and qualified. Hence, the paper contains studies and experiments that aim to question and qualify the effect and efficiency of specific treatment of Cluster B disorders. The future development of the treatment of Cluster B disorders is also expected in the last part of the paper.
Functional Morphology of the Thorax of the Click Beetle Campsosternus auratus (Coleoptera, Elateridae), with an Emphasis on Its Jumping Mechanism

Simple Summary Click beetles are well-known for the specialized thoracic structure, which they can click to thrust themselves into the air and to right themselves. Several aspects of their jumping mechanism were still not entirely clear prior to this study. We utilized traditional dissection, 3D virtual dissection, and high-speed filming techniques to investigate the functional morphology of their thorax. Our results show several new insights into their extraordinary clicking and jumping mechanisms. Abstract We investigated and described the thoracic structures, jumping mechanism, and promesothoracic interlocking mechanism of the click beetle Campsosternus auratus (Drury) (Elateridae: Dendrometrinae). Two experiments were conducted to reveal the critical muscles and sclerites involved in the jumping mechanism. They showed that M2 and M4 are essential clicking-related muscles. The prosternal process, the prosternal rest of the mesoventrite, the mesoventral cavity, the base of the elytra, and the posterodorsal evagination of the pronotum are critical clicking-related sclerites. The destruction of any of these muscles and sclerites resulted in the loss of normal clicking and jumping ability. The mesonotum was identified as a highly specialized saddle-shaped biological spring that can store elastic energy and release it abruptly. During the jumping process of C. auratus, M2 contracts to establish and latch the clicking system, and M4 contracts to generate energy. The specialized thoracic biological springs (e.g., the prosternum and mesonotum) and elastic cuticles store and abruptly release the colossal energy, which explosively raises the beetle body in a few milliseconds. The specialized trigger muscle for the release of the clicking was not found; our study supports the theory that the triggering of the clicking is due to the building-up of tension (i.e., elastic energy) in the system.
Performance of an Adaptive Aggregation Mechanism in a Noisy WLAN Downlink MU-MIMO Channel

This paper investigates an adaptive frame aggregation technique in the medium access control (MAC) layer for the Wireless Local Area Network (WALN) downlink Multi-User–Multiple-In Multiple-Out (MU-MIMO) channel. In tackling the challenges of heterogeneous traffic demand among spatial streams, we proposed a new adaptive aggregation algorithm which has a superior performance over the baseline First-in–First-Out (FIFO) scheme in terms of system throughput performance and channel utilization. However, this earlier work does not consider the effects of wireless channel error. In addressing the limitations of this work, this study contributes an enhanced version of the earlier model considering the effect of channel error. In this approach, a dynamic adaptive aggregation selection scheme is proposed by employing novel criteria for selecting the optimal aggregation policy in WLAN downlink MU-MIMO channel. Two simulation setups are conducted to achieve this approach. The simulation setup in Step 1 performs the dynamic optimal aggregation policy selection strategy as per the channel condition, traffic pattern, and number of stations in the network. Step 2 then performed the optimal wireless frame construction that would be transmitted in the wireless channel in adopting the optimal aggregation policy obtained from Step 1 that maximizes the system performance. The proposed adaptive algorithm not only achieve the optimal system throughput in minimizing wasted space channel time but also provide a good performance under the effects of different channel conditions, different traffic models such as Pareto, Weibull, and fBM, and number of users using the traffic mix of VoIP and video data. Through system-level simulation, our results again show the superior performance of our proposed aggregation mechanism in terms of system throughput performance and space channel time compared to the baseline FIFO aggregation approach.
Robust Blind Medical Image Watermarking Using Quantization and SIFT with Enhanced Security

The paper proposes an efficient blind robust watermarking solution for medical images based on a combination of the Scale Invariant Feature Transform (SIFT) and even-odd quantization. Unlike most existing methods using SIFT with original image, our proposed algorithm can extract the embedded information without original image by selecting only non-overlapping features in embedding process and exploiting the correlation among all detecting regions. As a result, both detection and extraction of embedded information can be obtained with our method. Moreover, it can be expanded to multi-bit watermarking with two suggestions of fan-shaped and half-ring-shaped regions. The experimental results are implemented with various medical images and evaluated about the quality, the reliability and the robustness against common medical image processing attacks including filtering, compression, rotation, scaling and cropping. Furthermore, the security in embedding and extracting information is also enhanced in our solution.
Burden in Schizophrenia: A Literature review

Although some researchers have made studies on some aspects of the burden of schizophrenia patients, there is not a comprehensive focus. This paper will focus on both the hard burden (easily quantifiable data, such as economic) and the soft burden (difficult to quantify data) of schizophrenia patients. Additionally, data on the economic burden of schizophrenia vary across countries or regions due to differences in mental health service delivery, economic development, and health care coverage systems. Mental illness is much less understood in general in developing countries, and patients receive less assistance. Therefore, this paper aims to summarize the burden of schizophrenia by examining data from developing countries. This paper assessed the disease burden of schizophrenia through a literature review. The data searched were largely international databases such as ScienceDirect. The search found s studies covering four aspects of the burden: economic, family, physical, and social. It was concluded that the burden suffered by people with schizophrenia in developing countries is substantial. The disease imposes a heavy economic, psychological, and physical burden on patients in developing countries. In addition, the family burden and social burden caused by schizophrenia should be given full public attention.
The Identification and Management of High Blood Pressure Using Exercise Blood Pressure: Current Evidence and Practical Guidance

High blood pressure (BP) is a leading risk factor for cardiovascular disease (CVD). The identification of high BP is conventionally based on in-clinic (resting) BP measures, performed within primary health care settings. However, many cases of high BP go unrecognised or remain inadequately controlled. Thus, there is a need for complementary settings and methods for BP assessment to identify and control high BP more effectively. Exaggerated exercise BP is associated with increased CVD risk and may be a medium to improve identification and control of high BP because it is suggestive of high BP gone undetected on the basis of standard in-clinic BP measures at rest. This paper provides the evidence to support a pathway to aid identification and control of high BP in clinical exercise settings via the measurement of exercise BP. It is recommended that exercise professionals conducting exercise testing should measure BP at a fixed submaximal exercise workload at moderate intensity (e.g., ~70% age-predicted heart rate maximum, stage 1–2 of a standard Bruce treadmill protocol). If exercise systolic BP is raised (≥170 mmHg), uncontrolled high BP should be assumed and should trigger correspondence with a primary care physician to encourage follow-up care to ascertain true BP control (i.e., home, or ambulatory BP) alongside a hypertension-guided exercise and lifestyle intervention to lower CVD risk related to high BP.
A Conceptual Framework For OUM M-Learning Portal

This paper presents a conceptual framework for Open University Malaysia’s (OUM) M-Learning Portal. As an extension of the currently practised blended learning approach to distance education, mobile learning offers learners a learning experience based on greater access to learning material anytime anywhere. This paper focuses on the development of a conceptual framework for mobile learning which is based on eight criteria covering mobile learning objectives, learning styles and strategies, varied media formats, a platform that sustains learning materials and additional features that accommodate successful implementation of mobile learning. The portal for housing and the delivery of mobile learning materials must be practical and accessible for all OUM learners. These materials can be presented in a structure that promotes self-selection of material by students, the hallmark of discovery learning. The success of mobile learning also relies on the awareness created and the support given to the learners. (Authors' abstract)
Innovation Strategy of Cosmetic Packaging Design Made of Bamboo

Bamboo has been talked about a lot by international communities in the world eco-label, specifically because it has big potential to be used as a sustainable material. As the third biggest country to produce bamboo globally, Indonesia has been supporting the regulation to establish bamboo nationally. The increase of beauty trends is followed by the rise of cosmetic's packaging waste. The packages have the potential to be substituted by other eco-friendly materials because the main function is as the container. This study aims to reduce waste using an abundant renewable source in Indonesia by exploring the innovation strategy of cosmetic packaging design made of bamboo. The methodology of this study is qualitative, followed by packaging design planning using a design thinking approach. The result of the planning is seven designs products which include primer packaging and secondary packaging. It is implemented based on the ability of the local craftsmen after the observation. Further study is needed to discover how far the packaging which has been designed can be executed by bamboo craftsmen using the ability they have mastered.
A Review on Evolution, Current Trends and Future Scope of MEMS Piezoresistive Pressure Sensor

Piezoresistive pressure sensors are the first MEMS devices to be commercialized. They work on the principle of change in resistivity of materials due to applied pressure. Literature reports lot of work and development in this area of sensing mechanisms. This paper provides a review on evolution of these sensors right from thin metal film based technology to the semiconductor technology. The paper presents the current trends in the design and use of piezoresistive pressure sensor. The paper also presents the future scope form these sensors which, will be around the extensive use of materials like SOI, SiC, DLC, CNT and Silicon Nanowires.
Microbial Population Succession and Community Diversity and Its Correlation with Fermentation Quality in Soybean Meal Treated with Enterococcus faecalis during Fermentation and Aerobic Exposure

This study assessed the effects of Enterococcus faecalis (E. faecalis) in combination with protease on fermentation characteristics and microbial communities during ensiling and aerobic exposure phases of soybean meal (SBM). In this study, response surface methodology (RSM) was used to optimize the optimal growth conditions of E. faecalis ZZUPF95, which produced protease, and fermented SBM under the optimal fermentation conditions. The fermentation test was divided into four groups as follows: CK (Control check), ZZUPF95, Protease and ZZUPF95+Protease groups. Results showed that the best medium ratio of ZZUPF95 was glucose 1%, peptone 2%, inorganic salt 1.47%; fermentation time 36 h, inoculation amount 10%, ratio of material to water 1:1 is the optimal fermentation scheme; after fermentation and aerobic exposure treatment, ZZUPF95 and ZZUPF95 + Protease group can reduce the pH of feed, improve the content of lactic acid in the fermentation system, and have the effect of inhibiting the reproduction of pathogenic bacteria, increasing the content of crude protein and ether extract, and degrading crude fiber; the microbial community of SBM were changed after fermentation and aerobic exposure. This study explored the changes of fermentation quality of SBM, which has certain theoretical value to improve the fermentation mode and storage of SBM.
The Causes, Prevention and Treatment of Adolescent Depression: A Review

Depression is an increasingly common phenomenon among adolescents, and it is a serious mental health problem for adolescents. The objective of this study was to systematically review the causes, prevention, and treatment of adolescent depression. This study was based on a computerized search of the published articles and made a comprehensive literature summary. In particular, this review first summarizes the definition, characteristics, and prevalence of adolescent depression. The next part reviewed potential causes of adolescent depression. This part of the review focused on on predicting causes of adolescent depression from family factors, stressful negative life events, genetic vulnerability, and gender differences. Last, clinical aspects of adolescent depression are reviewed, including treatments and prevention of depression in adolescence. In short, effective treatments and prevention have been found already in treating adolescent depression. Adolescents suffering from depression become more common with different causes. Still, as long as clinicians use early intervention in adolescents with depression, the long-term burden of disease could be reduced.