Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on autonomic collision avoidance method for UAV

For the collision avoidance problem which relates to the Unmanned Aerial Vehicle's(UAV) safety,an autonomic collision avoidance method based on an optimization theory is proposed.By analyzing the process of the UAV autonomic collision avoidance,the integrated autonomic collision avoidance system for UAV is established;the collision avoidance methods in different phases of the system are analyzed,and then the three dimensional,on-line collision prediction and collision avoidance method is proposed based on the optimization theory.Finally the avoidance strategy is translated into the maneuver control commands for the UAV collision avoidance.Simulations verify the effectiveness of the proposed method.
A New Cluster Validity Index for Fuzzy Clustering

In this paper, we propose a new validity index for determining the number of clusters. It is based on a novel way of combining cohesion and discrepancy. Extensive tests of the index in a conventional model selection process (FCM algorithm) have been performed using generated data sets and public domain data sets,and comparison with several existing and important indices has been made. The results obtained show clearly the efficiency of the new index under the condition of overlapping clusters.
Enhancing Undergraduate Student Self-efficacy and Learning with a Community Service learning (CSL) Nutrition Workshop Assignment

Community service learning (CSL) activities in undergraduate programs are associated with improvements in self-efficacy (confidence related to performing a specific task) and academic achievement. This study aimed to understand the impact of a CSL assignment on self-efficacy related to teaching community members about evidence-based nutrition and on the overall learning experience. Students were invited to participate in this mixed-methods study (surveys and focus groups), and the results indicate that the CSL activity not only increased students’ self-efficacy related to nutrition science communication, but also gave students a greater feeling of connection to their community and an opportunity to practice skills needed for future careers. Les activités d’apprentissage par l’engagement communautaire dans les programmes de premier cycle sont liées à une amélioration de l’autoefficacité (la confiance en sa propre capacité d’accomplir une tâche particulière) et du rendement universitaire. La présente étude vise à comprendre l’incidence d’un devoir d’apprentissage par l’engagement communautaire sur l’expérience d’apprentissage dans son ensemble et sur l’autoefficacité au sujet de la nutrition s’appuyant sur des données probantes – par rapport aux membres du corps enseignant. Les étudiants étaient invités à participer à une étude employant des méthodes mixtes (des sondages et des groupes de discussion). Les résultats indiquent que les activités d’apprentissage par l’engagement communautaire augmentent l’autoefficacité en matière de communication de la science de la nutrition. Qui plus est, ces activités donnent aux étudiants un sentiment accru d’appartenance à leur communauté ainsi qu’une occasion de mettre en pratique les compétences requises dans leur future carrière.
From Regional to Global Brain: A Novel Hierarchical Spatial-Temporal Neural Network Model for EEG Emotion Recognition

In this paper, we propose a novel Electroencephalograph (EEG) emotion recognition method inspired by neuroscience with respect to the brain response to different emotions. The proposed method, denoted by R2G-STNN, consists of spatial and temporal neural network models with regional to global hierarchical feature learning process to learn discriminative spatial-temporal EEG features. To learn the spatial features, a bidirectional long short term memory (BiLSTM) network is adopted to capture the intrinsic spatial relationships of EEG electrodes within brain region and between brain regions, respectively. Considering that different brain regions play different roles in the EEG emotion recognition, a region-attention layer into the R2G-STNN model is also introduced to learn a set of weights to strengthen or weaken the contributions of brain regions. Based on the spatial feature sequences, BiLSTM is adopted to learn both regional and global spatial-temporal features and the features are fitted into a classifier layer for learning emotion-discriminative features, in which a domain discriminator working corporately with the classifier is used to decrease the domain shift between training and testing data. Finally, to evaluate the proposed method, we conduct both subject-dependent and subject-independent EEG emotion recognition experiments on SEED database, and the experimental results show that the proposed method achieves state-of-the-art performance.
Hubungan Kerukunan Antara Umat Beragama Dengan Pembentukan Perilaku Sosial Warga Perumahan PT Djarum Singocandi Kudus

Bagi para penganutnya, agama berisikan ajaran-ajaran mengenai kebenaran tertinggi dan mutlak tentang eksistensi manusia dan petunjuk-petunjuk untuk selamat di dunia dan akhirat, yaitu sebagai manusia yang bertaqwa terhadap Tuhannya, beradab, dan manusiawi, yang berbeda dari cara-cara hidup hewan atau makhuluk lainnya. Agama sebagai sistem keyakinan dapat menjadi bagian dan inti dari sistem-sistem nilai yang ada dalam kebudayaan dari masyarakat yang bersangkutan dan menjadi pendorong atau penggerak serta pengontrol tindakan para anggota masyarakat tersebut untuk tetap berjalan sesuai dengan nilai-nilai kebudayaan, pranata sosial masyarakat yang bersangkutan, maka nilai pranata sosial itu terwujud sebagai simbol suci dan maknanya bersumber pada ajaran-ajaran agamanya yang menjadi kerangka acuannya. Di sebuah negara yang pluralis dalam kehidupan agama seperti Indonesia ini, pemerintah tidak bisa tinggal diam, ikut sertanya pemerintah dalam urusan agama didukung oleh tiga macam motif. Pertama, motif historis, bahwa menurut sejarah, bangsa Indonesia dari zaman ke zaman urusan hidup beragama menjadi urusan pemerintah pusat. Kedua, ikut sertanya pemerintah dalam urusan agama dalam bentuk lembaga kenegaraan dimaksud juga untuk memenuhi keingginan golongan Islam yang merupakan mayoritas dan menurut keyakinan golongan ini agama tidak bisa dipisahkan dari negara. Ketiga, motif politik, pemerintah mempunyai jaminan yng kuat bahwa dengan ikut sertanya dalam masalah ini akan dapat diciptakan kerukunan dan keamanan nasional yang merupakan syarat mutlak untuk keberhasilan pembangunan bangsa dan negara.
Job insecurity, emotional exhaustion, and workplace deviance: The role of corporate social responsibility

Job insecurity is one of top concerns in the contemporary workplace, which significantly affects emotional exhaustion and workplace deviance. Thus, this study seeks to explore the buffering role of employees' corporate social responsibility (CSR) perceptions to against the effect of job insecurity. Based on micro-CSR literature and social identity theory, this study tested the proposition that employees' CSR perceptions moderate the relationship between job insecurity and emotional exhaustion through organizational identification. Using three-wave data collected from 145 employees in one of China's biggest computer equipment providers, we found that employees' CSR perceptions alleviate (exacerbate) the negative relationship between quantitative (qualitative) job insecurity and emotional exhaustion via organization identification. Our findings provided new insights to scholars and managers in dealing with job insecurity.
Brain-Computer Interface using neural network and temporal-spectral features

Brain-Computer Interfaces (BCIs) are increasingly useful for control. Such BCIs can be used to assist individuals who lost mobility or control over their limbs, for recreational purposes such as gaming or semi-autonomous driving, or as an interface toward man-machine integration. Thus far, the performance of algorithms used for thought decoding has been limited. We show that by extracting temporal and spectral features from electroencephalography (EEG) signals and, following, using deep learning neural network to classify those features, one can significantly improve the performance of BCIs in predicting which motor action was imagined by a subject. Our movement prediction algorithm uses Sequential Backward Selection technique to jointly choose temporal and spectral features and a radial basis function neural network for the classification. The method shows an average performance increase of 3.50% compared to state-of-the-art benchmark algorithms. Using two popular public datasets our algorithm reaches 90.08% accuracy (compared to an average benchmark of 79.99%) on the first dataset and 88.74% (average benchmark: 82.01%) on the second dataset. Given the high variability within- and across-subjects in EEG-based action decoding, we suggest that using features from multiple modalities along with neural network classification protocol is likely to increase the performance of BCIs across various tasks.
Ryanodine receptor-active non-dioxin-like polychlorinated biphenyls cause neurobehavioral deficits in larval zebrafish

Although their production was banned in the United States in 1977, polychlorinated biphenyls (PCBs) continue to pose significant risks to the developing nervous system. Perinatal exposure to PCBs is associated with increased risk of neuropsychiatric disorders, perhaps due to altered patterns of dendritic arborization of central neurons. Non-dioxin-like (NDL) PCB congeners enhance dendritic arborization of developing mammalian neurons via sensitization of ryanodine receptors (RYR). Structure-activity relationships (SAR) of RYR sensitization by PCBs have been demonstrated using mammalian and rainbow trout (Oncorhynchus mykiss) tissue homogenates. The purpose of this study is to determine whether this SAR translates to developmental neurotoxicity (DNT) of PCBs in vivo, a question that has yet to be tested. To address this gap, we leveraged a zebrafish model to evaluate the developmental neurotoxicity potential of PCBs 28, 66, 84, 95, 138, and 153, congeners previously shown to have broadly different potencies towards sensitizing RYR. We first confirmed that these PCB congeners exhibited differing potency in sensitizing RYR in zebrafish muscle ranging from negligible (PCB 66) to moderate (PCB 153) to high (PCB 95) RYR activity. Next, enzymatically dechorionated embryos were statically exposed to varying concentrations (0.1–10 μM) of each PCB congener from 6 h post-fertilization to 5 days post-fertilization (dpf). Embryos were observed daily using stereomicroscopy to assess mortality and gross malformations and photomotor behavior was assessed in larval zebrafish at 3, 4, and 5 dpf. The body burden of each PCB was measured by gas chromatography. The key findings are: 1) None of these PCBs caused death or overt teratology at the concentrations tested; 2) A subset of these PCB congeners altered photomotor behavior in larval zebrafish and the SAR for PCB behavioral effects mirrored the SAR for RYR sensitization; and 3) Quantification of PCB levels in larval zebrafish ruled out the possibility that congener-specific effects on behavior were due to differential uptake of PCB congeners. Collectively, the findings from this study provide in vivo evidence in support of the hypothesis that RYR sensitization contributes to the DNT of PCBs.
Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE) 1989

This informant questionnaire can be very useful in the screening and evaluation of dementia. [1, 2] When combined with cognitive tests such as the Mini Mental State Examination (MMSE), an useful overview is obtained and hence sensitivity and specificity as a screening test can be improved [3]Validity within primary and secondary care settings has been tested. [4, 5]A shortened 16-question form of the IQCODE has also been validated and is shown here. [6]
Deans' perceptions of published rankings of business programs

ABSTRACT Using a survey of college of business deans, the authors investigate perceptions of published rankings of academic programs. Published rankings have become quite prominent, and anecdotal evidence suggests great efforts are being undertaken to be included in rankings or enhance rankings. The authors conducted a survey of business school deans to gain a better understanding of their perceptions of published rankings, and found that the majority of deans included in the survey did not perceive rankings to be reflective of underlying program quality. However, the majority chose to pursue rankings because of the perceived benefits to the university, students, and alumni. The authors also found statistically significant differences in deans' perceptions across universities with different accreditation statuses, sizes, and funding sources.
Utilization of Learning Management Systems: Perspective of Physically Challenged Learners in Africa

The purpose of the study was to examine the Utilization of Learning Management Systems: Perspective of Physically Challenged Learners in Africa. The study was guided by three objectives which were; to establish the factors influencing the utilization of learning management systems by physically challenged learners in Africa, to determine the barriers hindering utilization of learning management systems by physically challenged learners in Africa and to provide Policy Recommendations based on the findings. The study was informed by the Diffusion of Innovation Theory and the Change Theory. Learning disabilities (LD) vary from person to person. One person with learning disabilities may not have the same as another is having, one person may have trouble with reading and writing, however, another may have the problem of understanding a concept and the other may have the problem of understanding what others are telling them. The most obvious benefit of Learning Management Systems (LMS) utilization for the physically challenged students is that they stay in their comfort zone without rushing to a campus or commuting between classes to classes. The paper used a desk study review methodology where relevant empirical literature was reviewed to identify main themes. The study findings revealed that, acknowledging accessibility in e-Learning is a key issue vouching to promote and ensure e-inclusion of students with disabilities. The study recommended that, studies evaluating utilization of LMS should employ a combination of quantitative and qualitative approaches such that each can compensate for the weakness of the other, thereby giving a detailed and credible result. Key Words: LMS, Physically Challenged Learners, Utilization
UMA ABORDAGEM ORIENTADA A MODELOS PARA DESENVOLVIMENTO DE APLICAÇÕES SENSÍVEIS AO CONTEXTO NO AMBIENTE DE TV DIGITAL

With the definition of the Brazilian System of Digital Television, and the possibility of creating interactive applications, the field of Digital Television (DTV) is an environment to be explored by innovative applications, such as Context-Aware Applications. Context-aware applications use contextual information from the user to trigger services according user's needs or his current situation, and therefore can potentially enrich the user experience when watching TV. The objective of this dissertation is to propose a model-driven methodology to assist the development of these applications in the DTV environment, starting from the modeling phase all the way to the implementation. The target platform is called Ginga, which is the middleware defined by SBTVD in order to support the development of interactive applications. The methodology proposed by this work offers support for (i) modeling the universe of discourse of context-aware applications by means of context models, situation models and (ii) specifying the reactive behaviours of these applications using a rule-based approach. For that, this work proposes a domain-specific language, coined ECA-DL TVD, which allows the specification of reactive behaviours by means of events, conditions and actions. This work also defines a conceptual architecture, which is used to structure the Ginga Component called Context Manager. One of the main contributions of this work lies in the automatic generation of NCL code concerning part of this conceptual architecture, using transformation frameworks and other Model-Driven Development techniques. Finally, two application scenarios are presented in order to demonstrate the viability of such methodology.
Does Psychotherapy Change the Brain Functioning?

Psychoanalysis and diverse types of psychotherapies have proved their benefits in treating different kinds of mental distress. But, what happens into the brain¬? Can it be seen objectively? Psychological psychotherapy and biological psychiatry approaches regarding a patient ́s treatment are no longer seen as opposites, but complementarians. It is interesting to know how concepts like Freudian “repression”, “transference”, “free associate” have been identified into the central nervous system. Neuroimaging nowadays has made possible the Freud’s dream of watching the neurons work. Psychoanalytical technique differs from other types of psychotherapy. The effects of psychoanalysis depend on the psychodynamic process of the resulting therapeutic relationship between the personality, empathy capacity, psychotherapeutic identity and attachment style of the analyst and the personality, psychodynamic structure, behavior and attachment style of the patient [1].
Security Mechanisms in Unattended Wireless Sensor Networks

Wireless Sensor Networks (WSNs) consisting of a large number of sensor nodes are being deployed in potentially hostile environments for applications such as forest fire detection, battlefield surveillance, habitat monitoring, traffic management, etc. One common assumption in traditional WSNs is that a trusted third party, i.e., a sink, is assumed to be always available to collect sensed data in a real time or near real time fashion. Although many WSNs operate in such an on-site mode, there are WSN applications that do not fit into the real time data collection mode. For example, data collection in Unattended WSNs (UWSNs) relies on the periodical appearance of a mobile sink. As most existing security solutions developed for traditional WSNs rely on the presence of a trusted third party, it makes them not applicable to UWSNs directly. This motivates the research on security mechanisms for UWSNs. This dissertation contributes to security mechanisms in UWSNs from three important aspects, as, confidentiality and reliability, trust management, and capture resistance. The first aspect addresses data confidentiality and data reliability in UWSNs. We propose a data distribution scheme to provide forward secrecy, probabilistic backward secrecy and data reliability. Moreover, we demonstrate that backward secrecy of the historical data can be achieved through homomorphic encryption and key evolution. Furthermore, we propose a constrained optimization algorithm to further improve the above two data distribution schemes. The second study introduces trust management in UWSNs. We propose a set of efficient and robust trust management schemes for the case of UWSNs. The Advanced Scheme utilizes distributed trust data storage to provide trust data reliability and takes the advantages of both Geographic Hash Table (GHT) and Greedy Perimeter Stateless Routing (GPSR) to find storage nodes and to route trust data to them. In this way, it significantly reduces storage cost caused by distributed trust data storage and provides resilience to node compromise and node invalidation. The third study investigates how to detect a captured node and to resist node capture attack in UWSNs. We propose a node capture resistance and key refreshing scheme for UWSNs based on the Chinese remainder theorem. The scheme is able to provide forward secrecy, backward secrecy and collusion resistance for diminishing the effects of capture attacks.
Sources of support and mediation online for 9–12-year-old children

The emerging adolescents of today are required to navigate challenges and risks quite different from those faced by their parents and teachers. The usual trials of adolescence have been magnified and transformed, in large part due to the development of information and communication technology, and the rapid rise of online social networking. The rate of change can leave its most ardent followers struggling to keep up, and this can be even harder for those not immersed in its effects. This calls into question how effective parents and teachers can be in taking a supportive role in developing self-efficacy among their children and students when it comes to online challenges. Adult/parent mediation is an important factor in mitigating the level of risk and harm a child experience online. This research gives voice to 9–12-year-old children’s experience of being online, and the role important adults in their lives play in this experience.
Processing Big Data Using Secure HDFS

The main objective of this project was to collect the data and provide a solution to the problems faced by a huge organization, which holds the data of many diverse fields. The challenge here was to understand Hadoop and its key features for successful implementation of a Hadoop platform. Users and clients evaluate or analyze the functioning and progress of it. By applying DAIMC methodology, which supports a rapid, iterative development style and better result driven. The team focused on the decision driven as well as data driven. The team also concentrated on the necessities of the decisions to be made, rather than enclosing all existing data. While following this, organization totally relied on agile development and business opportunity management for a successful implementation.
Ligand-based discovery of a novel GATA2 inhibitor targeting acute myeloid leukemia cells

Despite major therapeutic advances leading to improved patient outcomes for other haematological malignancies, development of new therapeutics to improve prognosis for acute myeloid leukemia (AML) patients remains an area of unmet clinical need. Overexpression of GATA2, a member of the GATA family of zinc finger transcription factors, has been implicated in AML. In settings where GATA2 is overexpressed in human AML cells, K7174, a proteasome inhibitor that inhibits GATA2, induces apoptosis and enhances the killing activity of AML chemotherapeutics in vitro yet targeting the proteasome has been associated with high toxicity in the clinic. Using an in silico approach, we embarked on a screen to identify specific GATA2 inhibitors that will target AML cells independently of the proteasome. A shape-based virtual screening of an in-house library of small molecules was performed using a low-energy conformation of K7174. The virtual hit compounds were subsequently filtered according to their potential selectivity for GATA2 over the proteasome. From 15 selected compounds evaluated for their ability to kill AML cells in vitro, one compound, an asymmetrical substituted piperazine with Hepatitis C antiviral activity, exhibited superior ability to induce apoptosis and reduce cell cycling in AML cells without proteasome inhibition. This compound was also able to promote cell death of the relapse propagating leukemic stem cell (LSC) compartment while sparing Gata2 knockout LSCs, crucially demonstrating specificity to inhibit GATA2. We have identified a GATA2 specific inhibitor with promising capability to target AML cells in vitro, including LSCs that underpin poor prognosis in AML.