Miracle-dz/UniFAR-FTUs huggingface dataset:
StegoCrypt: Combining steganography and cryptography

The utilization of pictures to conceal data is a highlight which leaves little uncertainty in a watcher's psyche. Utilizing any medium to shroud data alludes to a strategy called steganography. When we utilize a picture as a medium then that technique is called picture steganography. The most renowned technique to now is the Least Significant Bit Algorithm (LSB). In that technique, the least critical piece of every pixel is taken and data is covered up in that. This anyway is effectively brittle. Consequently an option and increasingly secure arrangement is given. First the information is scrambled utilizing the Blowfish calculation. Next an inventive technique is displayed. This encoded square is broken down to 'n' littler squares and 'n' pictures are picked indiscriminately what's more, each picture is made to conceal a square of the encoded information. To keep up the right arrangement of hinders a hash table is kept up. This is then encoded utilizing LSB to another picture called the hashing picture. This hashing picture is sent alongside the 'n' different pictures. To separate the information out, first the hash picture is acquired and utilizing this the scrambled square is reassembled and after that unique information is gotten by unscrambling.The utilization of pictures to conceal data is a highlight which leaves little uncertainty in a watcher's psyche. Utilizing any medium to shroud data alludes to a strategy called steganography. When we utilize a picture as a medium then that technique is called picture steganography. The most renowned technique to now is the Least Significant Bit Algorithm (LSB). In that technique, the least critical piece of every pixel is taken and data is covered up in that. This anyway is effectively brittle. Consequently an option and increasingly secure arrangement is given. First the information is scrambled utilizing the Blowfish calculation. Next an inventive technique is displayed. This encoded square is broken down to 'n' littler squares and 'n' pictures are picked indiscriminately what's more, each picture is made to conceal a square of the encoded information. To keep up the right arrangement of hinders a hash table is kept up. This is then encoded utilizing LSB to another picture called the hashing picture. This hashing picture is sent alongside the 'n' different pictures. To separate the information out, first the hash picture is acquired and utilizing this the scrambled square is reassembled and after that unique information is gotten by unscrambling.
The Role of Affective Control in Emotion Regulation During Adolescence

In this review, we evaluate evidence for the hypothesis that developmental changes in emotion regulation tendencies during adolescence depend on the maturation of affective control. Affective control refers to the application of cognitive control to affective contexts, that is, the capacity to attend and respond to goal-relevant affective information, while inhibiting attention and responses toward distracting affective information. The evidence suggests that affective control develops throughout adolescence into adulthood. However, the developmental trajectory appears not to be uniform across different facets of affective control. In particular, the capacity to inhibit attention and responses to distracting affective information may be reduced during adolescence relative to childhood and adulthood. Focusing on the association between affective control and emotion regulation development in adolescence, the research reviewed supports the notion of affective control as a cognitive building block of successful emotion regulation. Good affective control appears related to fewer ruminative tendencies in adolescence as well as more frequent and successful reappraisal in older adolescents. Lower use of habitual suppression, itself a type of affective inhibition, shows an association with updating capacity. We conclude by discussing the implications of these findings for mental health and the potential mental health benefits associated with improving affective control.
Oral and Cutaneous Lichenoid Reaction Secondary to Standard Dose Imatinib: A Case Report and Literature Review

Imatinib mesylate - Gleevec®, STI571- is an oral cancer drug that selectively inhibits several protein tyrosine kinases associated with human malignancy. The drug is used for the treatment of chronic myeloid leukemia, malignant gastrointestinal stromal tumors, and some other conditions. Treatment with imatinib is generally well tolerated but is not without the risk of adverse effects. Various types of skin eruptions have been reported. Cutaneous side effects with this treatment are common but a lichenoid drug eruption is rare. In this article, we report a 46-year-old woman who presented with lichen planus like lesions on the trunk and extremities, and oral mucosa due to the use of imatinib mesylate for the chronic myeloid leukemia. The literature on lichenoid drug eruption due to imatinib mesylate is reviewed.
Integrated management practices against scale insects and mealybugs of sugarcane

The field experiment was carried out at Bangabandhu Sheikh Mujibur Rahman Agricultural University farm, Gazipur during 2015-16 with four replications and six treatments of biopesticides against scale insects and mealybugs of sugarcane. The package P6 (Sungor 40EC @ 1ml 5 l of water applied) produced maximum tillers (288.25 x10 ha), millable cane (148.50 x10 ha) and yield (118.80 t ha) followed by P5 (seed treated with 30% fermented cattle urine and 15% neem seed kernel extract solution and sprayed at fortnight interval starting from vegetative stage to harvesting + detrashing of older leaves) 286.00 x10 ha, 145.50 x10 ha and 116.40 t ha, respectively. Among the packages, the efficacy might be ranked as P6>P5>P2.The highest benefit cost ratio (BCR) was obtained from package P6 (3.47) followed by P5 (3.42). The study revealed that, the package P5 was the most profitable considering nonchemical management, yield, low cost, environmental safety and BCR.
Global Urban Development PRIVATE SECTOR INVOLVEMENT IN SLUM UPGRADING

Living conditions in poor urban slums, characterized by a lack of basic public services and infrastructure, precarious housing, overcrowding and often escalating social problems, remain a major and growing challenge in cities all over the developing world. It is now estimated that one in three city dwellers, a billion people, a sixth of the world’s population, live in slums. Governments and the development community have invested significantly in improving the lives of slums dwellers through a range of upgrading programs which typically include infrastructure investments (water and sanitation, waste management, electricity, roads), and in some cases interventions aimed at improving tenure security, social infrastructure, housing quality, access to credit and access to social programs. The immense and growing scale of slums has, however, outpaced the impact these programs alone can have. When considering the scaling up of such efforts to address the growing problem, it is clear that the public sector cannot do it alone and there is much need for alternative approaches. One such approach with enormous potential is the mobilization of additional private sector finance and expertise.
EasyChair Preprint No 1513 Monocular Visual Odometry Based on Hybrid Parameterization

Visual odometry (VO) is one of the most challenging techniques in computer vision for autonomous vehicle/vessels. In VO, the camera pose that also represents the robot pose in ego-motion is estimated analyzing the features and pixels extracted from the camera images. Different VO techniques mainly provide different trade-offs among the resources that are being considered for odometry, such as camera resolution, computation/communication capacity, power/energy consumption, and accuracy. In this paper, a hybrid technique is proposed for camera pose estimation by combining odometry based on triangulation using the long-term period of direct-based odometry and the short-term period of inverse depth mapping. Experimental results based on the EuRoC data set shows that the proposed technique significantly outperforms the traditional direct-based pose estimation method for Micro Aerial Vehicle (MAV), keeping its potential negative effect on performance negligible.
Use of Fe 3 + Ion Probe to Study Intensively Weathered Soils utilizing Electron Paramagnetic Resonance and Optical Spectroscopy

Análises por espectroscopias de ressonância paramagnética eletrônica (EPR) e de ultravioleta-visível por refletância difusa (DRUV-VIS) de solos intensamente intemperizados contendo altos níveis de óxidoshidróxidos de ferro, a partir de um projeto-piloto de agricultura de precisão, incluindo 13 fazendas no sudoeste do estado do Paraná, Brasil, foram realizadas, visando definir parâmetros de fertilidade dos solos. Os resultados dos estudos espectroscópicos no laboratório foram comparados com aqueles obtidos através da utilização de um espectrorradiômetro portátil, em condições de campo. Os solos estudados apresentaram como constituintes inorgânicos, principalmente minerais de argila 1:1, óxidos e hidróxidos de ferro (principalmente goetita e hematita) e de alumínio (principalmente gibbsita), características de solos altamente intemperizados, como por exemplo, Latossolos. Os espectros de EPR, típicos de agregados de íons Fe com interação magnética, apresentaram aumento na largura da linha do sinal em g ca. 2 quando obtidos em temperatura de nitrogênio líquido, em comparação com os obtidos a temperatura ambiente. Este fenômeno pode ter sido causado por mudanças no ambiente do campo cristalino dos íons Fe ou pelo mecanismo de relaxação spin-spin, o que provoca aumento da largura de linha quando a temperatura diminui. As curvas espectrais eletrônicas obtidas com o espectrorradiômetro portátil apresentaram-se menos detalhadas, porém mais específicas de cada amostra de solo analisada. Os resultados indicam que o uso do espectrorradiômetro portátil juntamente com ferramentas matemáticas, como a segunda derivada da função Kubelka-Munk, é uma boa alternativa para analisar solos argilosos ricos em óxidos-hidróxidos metálicos. Foram feitas atribuições das absorções espectrais, principalmente para as transições eletrônicas d-d entre níveis de energia de pares de íons Fe-Fe.
Interaction between ABA and cytokinins in salinized tomato plants

Abscisic acid (ABA) and cytokinins (CKs) are phytohormones that mediate plant responses to abiotic stress and are mainly considered to be produced in roots. These two plant hormones have long been considered antagonists, but the role of this antagonism in mediating abiotic stress resistance remains unknown. In this study we have used reciprocal grafting of transgenic lines with altered hormone synthesis (ABA or CK synthesis) with the aim of assessing the importance of ABA and CK interaction in mediating plant salinity responses in tomato. Preliminary results have shown a negative effect in ABA and CK on tomato plant biomass under salinity. Results have also indicated that jasmonic acid (JA) might be involved in the negative impact on tomato growth caused by ABA and CK interaction under salt conditions.
Research on Managerial Self-interest and Corporate Donation

Corporate donation is not only influenced by the enterprise, but also driven by the managerial self-interest. Based on the data of Listed Companies in China from 2008 to 2017, this paper empirically examines the influence of managerial selfinterest and actual controllers on corporate donations. The results show that the greater the power of management, the more corporate donations, while the existence of actual controllers can restrain the self-interest behavior of management, and alleviate the impact of agency costs on corporate donations. Keywords—managerial self-interest; corporate donation; the management; actual controller
Integration of Emotional Assessment into E-Health Care Delivery : For Autism Spectrum Disorder : A Review

The deployment of emotional assessment into electronic healthcare is gradually finding its way into healthcare domain especially for people with autism spectrum disorder because of their inability to relate their feelings or emotions with people around them or their environment. Therefore the integration of emotional assessment for treatment of Autism Spectrum Disorder (ASD) patient will help improve the understanding of their emotion when feedback to them. This paper is to provide an overview of the state-of-theart on the subject of emotional assessment in affective computing (AC) incorporated into electronic healthcare technology. The overview includes the basic terminologies and definitions, a survey of existing technologies and recent advancement in the field of Affective computing i.e. affective/emotional technology, the modalities used in gathering data to detect the emotional state of an individual suffering from ASD, e-healthcare delivery and finally, inclusion of emotional assessment in e-healthcare system. This paper also offers a comprehensive number of references for each concept, methods, and applications in the emotional detection in e-healthcare delivery.
Camera Style and Identity Disentangling Network for Person Re-identification

Camera style (camstyle) is a main factor that affects the performance of person reidentification (ReID). In the past years, existing works mainly exploit implicit solutions from the inputs by designing some strong constraints. However, these methods cannot consistently work as the camstyle still exists in the inputs as well as in the intermediate features. To address this problem, we propose a Camstyle-Identity Disentangling (CID) network for person ReID. More specifically, we disentangle the ID feature and camstyle feature in the latent space. In order to disentangle the features successfully, we present a Camstyle Shuffling and Retraining (CSR) scheme to generate more ID-preserved and camstyle variation samples for training. The proposed scheme ensures the success of disentangling and is able to eliminate the camstyle features in the backbone during the training process. Numerous experimental results on the Market-1501 and DukeMTMCreID datasets demonstrate that our network can effectively disentangle the features and facilitate the person ReID networks.
miR-1395 p suppresses the proliferation of oral squamous cellcarcinoma cells and targeting TPD 52

MicroRNA-139-5p (miR-139-5p) has been reported to be frequently downregulated in various types of human cancer. However, the precise molecular mechanism of miR-139-5p underlying oral squamous cellcarcinoma (OSCC) remains largely unknown. Here, the results showed that, miR-139-5p was significantly downregulated in OSCC tumor tissues and cell lines. Overexpression of miR-139-5p inhibited cell proliferation of OSCC cells whereas the downregulation of miR-139-5p promoted cell proliferation. A direct interaction between miR-139-5p and 3’-UTR of TPD52 was validated by dual-luciferase reporter assay. Moreover, overexpression of miR-139-5p in OSCC cells significantly decreased the expression of TPD52 and downregulation of miR-139-5p inhibited the expression of TPD52. In addition, the miR-139-5p over expressing OSCC cells exhibited a low growth rate in the xenograft tumor assay. Therefore, the results suggest that miR-139-5p is a tumor suppressor in OSCC through targeting TPD52, which serves as a promising therapeutic target for the treatment of OSCC.
PtychoNet: Fast and High Quality Phase Retrieval for Ptychography

Ptychography is a coherent diffractive imaging method that captures multiple diffraction patterns of a sample with a set of shifted localized illuminations (“probes”). The reconstruction problem, known as “phase retrieval”, is typically solved by iterative algorithms. In this paper, we propose PtychoNet, a deep learning based method to perform phase retrieval for ptychography in a non-iterative manner. We devise a generative network to encode a full ptychography scan, reverse the diffractions at each scanning point and compute the amplitude and phase of the object. We demonstrate successful reconstructions using PtychoNet as well as recovering ﬁne features in the case of extreme sparse scanning where conventional iterative methods fail to give recognizable features
NMF TOOLBOX: MUSIC PROCESSING APPLICATIONS OF NONNEGATIVE MATRIX FACTORIZATION

Nonnegative matrix factorization (NMF) is a family of methods widely used for information retrieval across domains including text, images, and audio. Within music processing, NMF has been used for tasks such as transcription, source separation, and structure analysis. Prior work has shown that initialization and constrained update rules can drastically improve the chances of NMF converging to a musically meaningful solution. Along these lines we present the NMF toolbox, containing MATLAB and Python implementations of conceptually distinct NMF variants—in particular, this paper gives an overview for two algorithms. The first variant, called nonnegative matrix factor deconvolution (NMFD), extends the original NMF algorithm to the convolutive case, enforcing the temporal order of spectral templates. The second variant, called diagonal NMF, supports the development of sparse diagonal structures in the activation matrix. Our toolbox contains several demo applications and code examples to illustrate its potential and functionality. By providing MATLAB and Python code on a documentation website under a GNU-GPL license, as well as including illustrative examples, our aim is to foster research and education in the field of music processing.
Improvements in Speech Recognition in Noise using Speech Enhancement Methods as a Function of Tonotopic Frequency Shift in Cochlear Implants

Profound hearing loss severely debilitates a person’s life. Cochlear implant is a biomedical device used to restore hearing to a profoundly deaf person. Early cochlear implant devices consisted of a single electrode of stimulation. Current cochlear implant devices use anywhere from 8-22 electrodes of stimulation. In quiet conditions these devices produce high speech recognition. However speech recognition using cochlear implants drops in presence of noise. Researchers have used few speech enhancement algorithms to improve speech recognition in presence of noise. A systematic comparison of various speech enhancement methods in the perspective of cochlear implants has not been performed and such comparison could help the device manufacturers in choosing an appropriate speech enhancement algorithm. The current research work compares three noise reduction methods namely Wiener filtering method, Subspace method and spectral subtraction method in terms of frequency upshifting. Cochlear implant simulations were conducted to evaluate the effect of tonotopic frequency shift on the performance of the three speech enhancement algorithms mentioned above by varying frequency shift in three different ways. The cochlear implant simulations indicated that both Wiener filtering method and subspace method performed better than spectral subtraction method for all three conditions of tonotopic frequency shift.
EVALUATING THE EFFECTS OF CAPITAL STRUCTURE IN THE EFFICIENCY OF TURKISH BANKING SYSTEM RELATED WITH 2008 GLOBAL CRISIS : A DATA ENVELOPMENT ANALYSIS APPLICATION

Efficiency in the services sectors is a significant issue in global business. As one of the major sectors in services industry, banks have the pionee ri g role in finance sector in Turkey as they have the same role in the world. With the effect of gl balization, Turkey accepts considerable amount of foreign capital via its banking system fr om year to year. In banking system, it is thought that being under operation with a foreign c apital structure together with the managerial skills makes an important effect for the overall performance of the banks in comparative business environment. In the literature , it has been claimed that the banks operated with foreign capital are usually more succ essful than the ones which operated with domestic capital. The reason for this can be explai ned with global knowledge, having broader vision and using more different professional applic ations in banking operations. On the other hand, to be familiar with its society’s culture and having more branches throughout the country can be the opportunities for domestic banks . In this study, Turkish banks have been evaluated using their number of branches, number of staffs, total assets and total interest expenses as input variables and net profit for the period as output variable. The banks have also been ranked according to their efficiency scor es by years and than; these scores were grouped into two subgroups in order to be re-analyz ed with statistical methods.
Social Mobility across Three Generations: Evidence from China

In this paper, we propose to study social mobility across three generations in China. Using years of education as the main social status indicator, this is the first nationally representative study of three-generation mobility for China. We find significantly positive grandparent effect. We also find that paternal grandparent effect is stronger than maternal grandparent effect. Besides contributing to the long-debated grandparent effect, we will also use data to suggest possible mechanisms that such effect taking place.
COUNTRY OF ORIGIN EFFECT ON PURCHASING INTENTION : A STUDY OF JAPANESE TELEVISION

PurposeJapan as a first-mover country of television manufacturers suppose to be able to lead the market share in Indonesia, yet it is not the case at present. The purpose of this study is to prove and develop consumer perception about the country of origin (COO), product quality and customer value to product purchase intention of Japanese television. Design/methodology/approach -This study used a quantitative method with a sample of 154 Japanese television consumers in Bandung using administered questionnaires, statistical analysis using SEM, with AMOS 19.0. Originality/value-The results show that the country of origin and product quality has a positive influence on purchase intention. However, this result shows Bandung's population are not overly use COO and product quality as a consideration in influencing their purchase intention of Japanese television. While customer value has a positive influence on purchase intention and the effect is quite high. Thus our research add some insights to the effect of COO to purchase intention.
Improving Local Gaussian Process For Real-Time Online Regression

Gaussian Process (GP) is an elegant statistical tool which holds a place in the state-of-the-art methods for non-linear regression. However, despite its powerful accuracy for regression tasks, the Gaussian Process has a severe scalability problem, which makes its use unfeasible for real-time applications. The Local Gaussian Process (LGP) is one of many techniques that reduces the computational cost of a Gaussian Process, making it suitable for complex problems. LGP achieves it by clustering the input space and assigning a different Gaussian Process for each cluster, therefore, replacing a global model with several local Gaussian Processes. In this paper, we are interested in the problem of learning the inverse dynamics of mechanical segments for real-time applications. Furthermore, we focus on the online and incremental learning of the dynamic model. We present an improvement to the LGP clustering procedure by modeling it as a probabilistic model, then estimating the cluster centroids by a stochastic approximation. We compare the improved model, called here as ILGP (Improved-LGP), with the original LGP in the task of learning the inverse dynamics of robotic arms. Results from regression experiments using 28 different datasets show that our improvement to LGP is statistically significant. Keywords—Gaussian Process Regression, GPR, Local Gaussian Process, LGP, Non-Linear Regression, Inverse Dynamics, Online Learning, Incremental Learning