Reviewerly/exHarmony huggingface dataset:
Person Re-identification Based on Multi-scale Network Attention Fusion

The key to person re-identification depends on the extraction of pedestrian characteristics. Convolutional neural networks have powerful feature extraction and expression capabilities. In view of the fact that different features can be observed at different scales, a pedestrian re-identification method based on Multi-Scale Attention Network(MSAN) fusion is proposed. This method samples the features at different depths of the network and fuses the sampled features to predict pedestrians. Feature maps of different depths have different expressive powers, enabling the network to learn more fine-grained features of pedestrians. At the same time, the attention module is embedded in the residual network, so that the network can pay more attention to some key information and enhance the network feature learning ability. The accuracy of the proposed method on the datasets such as Market1501, DukeMTMC-reID and MSMT17_V1 reaches 95.3%, 89.8% and 82.2%, respectively. Experiments show that the method makes full use of the information of different depths of the network and the key information of interest, so that the model has strong discriminating ability, and the average accuracy of the proposed model is better than most state-of-the-art algorithms.
Secure Session between IoT Device and Cloud Server based on Elliptic Curve Cryptosystem

The internet of things (IoT) has brought the properties of convenience, intelligence, and manageability into our daily lives. Nevertheless, it also gives malicious attackers lots of opportunity to compromise our private information. Hence, the security issue over IoT has become an emergent and crucial research topic. Kalra and Sood (2015) proposed an authentication scheme for IoT device and cloud server. Unfortunately, Chang et al. (2017) have pointed out the weaknesses of Kalra and Sood's scheme and provided proper improvements. However, we have found that the improved version still exist potential risks. Thus, we aim to develop a brand-new ECC-based authentication mechanism for offering a secure session between an IoT device and a cloud server. In particular, the new method is proved secure under the examination of AVISPA, which is a formal verification tool.
LibGuides: Early Childhood Reading Support: Home

Understanding how early literacy will empower your little one, with practice tools and resources to get you started
PENINGKATAN HASIL BELAJAR TEMATIK MENGGUNAKAN MODEL COOPERATIVE SCRIPT KELAS IV SD

The problem in this research is that the learning outcomes of students in grade IV SD 04 / II Jaya Setia are still low, this is evidenced by the results of preliminary observations made by researchers from 34 students, only 29% who scored in the complete criteria. The reason is that students in the class are passive, have not used varied learning models, and have not used concrete in learning. The research objective is to improve the process and thematic learning outcomes through the application of cooperative learning model cooperative scripts. The research model used in this research is classroom action research. Data collection using observation sheets for the learning process of students and tests for student learning outcomes. The results showed an increase in thematic learning outcomes in class IV SDN 04 / II Jaya Setia after using the cooperative script model. The results obtained indicate that the increase in the quality of the learning process from cycle I to cycle II reaches the very good category. Furthermore, the learning outcomes obtained in cycle I were 53% of students who completed and increased in cycle II by 82% of students who completed. So the cooperative script model can improve the thematic learning outcomes of class IV students.
Guess what?! On the impossibility of unconditionally secure public-key encryption

We (once again) refute recurring claims about a public-key encryption scheme that allegedly provides unconditional security. This is approached from two angles: We give an information-theoretic proof of impossibility, as well as a concrete attack breaking the proposed scheme in essentially no time.
Exploring the Perception of Elementary School Teachers' Teaching Experiences of Underachiever Students:Focusing on online class in the COVID-19

The purpose of this study is to explore the capacity of teachers that can help the academic achievement and emotions of underachiever students, which are increasing due to online classes of COVID-19, and to explore the direction in which school education should go for underachiever students. Seven elementary school teachers were interviewed in this study and the results were analyzed using the NVivo12 program. As a result, 3 subjects, 13 upper categories, and 45 subcategories were derived. Each subject was categorized into the impact of online class, the difficulty of online class and management of underachieving students. The teachers who participated in this study generally recognized the importance and necessity of education for underachievers, but the difficulties in managing students, lack of competence and guidance of parents, and class difficulties and problems in content production, excessive workload, widened learning gaps, changes in students
Comprehensive Analysis of Separable Words in Boya Chinese

This paper made comprehensive analysis of separable words in Boya Chinese -- a classic Chinese textbook for foreigners from the perspective of number, distribution rules and recurrence rate. And the author also analyzed the part-of-speech tagging, phonetic notation, paraphrase, grammar explanation and practice of the separable words in Boya Chinese.
Modelling the Grade and Recovery of Sari Gunay Epithermal Gold with the Application of Geostatistical Algorithms

With the increase in complexity of mineral deposits, understanding the grade variability is of high significance in getting enough information about the deposit, preventing financial losses and identifying optimized plans during and after exploitation. Likewise, mineralogical variability, grade, alteration, … can highly effect metal recovery. Modeling these parameters is seriously substantial in order to have an optimized exploitation of the mine and to minimize the risks and costs. This study used the dataset of 91 drill holes from Sari Gunay epithermal gold deposit located in north-west of Iran to model gold grade and the recovery resulted from leaching tests. Initially, the oxide and sulphide zones were distinguished using Indicator Kriging and Simulation. Then the gold grade and recovery in each zone were modeled with the application of sequential Gaussian simulation and the developed block model. The grade-recovery curve was then drawn to estimate the total tonnage amount of the deposit which was related to the sulphide zone in more than 70%. Then with the help of recovery simulation data, the grade×recovery was considered a preferable parameter in depicting the curve and estimating the reserve.
Special issue on adaptive and learning agents 2018

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The Effect Of Reciprocal Teaching Strategy Towards The Students’ Reading Comprehension At SMA Negeri 1 Lhokseumawe

This research is based on a quantitative analysis with experimental design. Theobjective of this study is to find out whether Reciprocal Teaching Strategy hassignificant effect towards the students' reading comprehension at the third gradeof senior high school. The subject of this research is the students at SMA NEGERI1 Lhokseumawe. The total of population was 342 students and the researcher took59 students as the sample of this research. Therefore, the researcher divided theclass into two classes, there are experimental and control class. The experimentalclass was applying Reciprocal Teaching Strategy on the learning processmeanwhile the control class was applying conventional strategy. The data werecollected by using both pre-test and post test which consist of 10 questions thatarranged in multiple choice. From the pre-test has been found that the Students’mean score is 59 and then the score increased to 82. However, for the controlclass the Students’ mean score on pre-test were 66.5 and the post- test was notincreasing significantly as the mean score is 80. Furthermore, based on the datatobservedvalue is 2.40 which higher than ttable at the significant level 0.05 (2.40 >1.67). It can be concluded that Reciprocal Teaching Strategy has significant effecttowards the students’ reading comprehension because the result showed that thealternative hypothesis (Ha) is accepted and H0 is rejected
Influence of detuning and Kerr nonlinearity on atom-atom entanglement in the double two-photon Jaynes–Cummings model

In this work, the authors investigated the dynamics of entanglement of two identical two-level atoms (qubits) in the framework of the two-photon double JaynesCummings model, taking into account the detuning between atoms and the double frequency of the field modes of the resonators, as well as the Kerr medium in both resonators. The authors derived the time dependence of the negativity parameter for the Bell initial states of the atoms and the vacuum states of the resonator fields. The results showed that detuning and Kerr nonlinearity leads to stabilization of the entanglement for all initial Bell-type atomic states. For some initial atomic entanglement states, the detuning and Kerr environment in the resonators can prevent the effect of sudden death of the atom-atom entanglement.
Κατηγοριοποίηση εικόνων από ιστοπαθολογικές εξετάσεις με χρήση συνελικτικών νευρωνικών δικτύων

In this thesis we will study in depth a special case of Artificial Neural Networks, which are mostly used in Computer Vision, and we will attempt to classify a set of images as to whether they contain cancer cells. The classification will be implemented with the use of Convolutional Neural Networks. The images we will use are patches of histopathological scans taken from the PatchCamelyon dataset. We will implement and test various Convolutional Neural Network architectures, tuning their hyperparameters and we will present the classification results. More specifically we will compare the performance of these implemented Convolutional Neural Networks and we will examine which architecture gives us the best performance. Furthermore, we will break down the functionality of some special layers for the Convolutional Neural Networks, like BatchNormalization and Dropout, and we will test the beneficial effect that their use may have in the performance of those models. We will measure the classification performance using some well known and widespread classification metrics like Accuracy, AUC, Precision and Recall. The ultimate goal is the best possible classification of the images. All the experiments were implemented in Python with the use of Tensorflow 2.0 and Keras. Particularly for the execution of the experiments, we took full advantage of the new practices provides by the new version 2.0 of Tensorflow, for training all kinds of Machine Learning and Deep Learning models.
Valuation of Cryptocurrencies and Ico Tokens for Tax Purposes

Cryptocurrency valuations have fluctuated wildly. Valuations of bitcoin were dramatically off their peaks throughout most of 2018 and into 2019. This period is referred to as “Crypto-Winter.” Recently, valuations have been rising. Is winter nearing its end? Will a “Crypto-Spring” emerge with coin and token valuations shooting up like budding plants?
Learning Syntactic Frames with Simple Recurrent Networks

Syntactic bootstrapping and semantic bootstrapping are often seen as rival hypotheses for learning the meaning of verbs. While both theories have different starting points, both credit the child with sensitivity to syntactic information in the input. Hirsh-Pasek and Golinkoff (1997) conducted experiments to examine whether young children are capable of exploiting the syntactic frames in which the verbs are embedded, by testing whether they can distinguish between transitive and intransitive sentence frames.
All Web Pages: QR / Library hours and information: Holiday Hours

QR code for Library hours and information; holiday hours changes; COVID Screening entry stations for ED II Building and Library access
The Effect of Mobile-application Use on Vocabulary Depth and Breadth

Saudi students face many challenges when studying in English at university level. Some of these challenges are caused by inadequate English-language proficiency. Since knowledge of vocabulary plays an important role in language proficiency, increasing one’s English vocabulary can lead to improved academic performance. Technology can help students improve their English vocabulary and consequently their language proficiency. Mobile applications have been used in the classroom; research has shown that they have a positive impact on language proficiency. However, few research studies have examined whether the use of mobile applications can improve vocabulary depth or breadth among Saudi university students. The present study investigates the effect of a mobile application, Vocabulary.com, on the vocabulary depth and breadth of 143 Saudi female university students at a university in Riyadh. Pre- and posttests of vocabulary depth and breadth were administered to control and experimental groups. The data were analyzed using descriptive statistics and both parametric and non-parametric statistical tests. The results show statistically significant differences in the post-test results of the control and experimental groups, with the latter performing better. These findings indicate that mobile applications can have a positive impact on vocabulary breadth and depth among Saudi university students.
Dynamic Network Emitter – An Enhanced Signal Booster

Information spread around the world by means of communication. Information the resolution of uncertainty; it that which answers the question of an entity is and thus defines both its essence and nature of its characteristics. This explains what the word Information means is. Communication the act of conveying meanings from one entity or group to another through the use of transmitting and receiving signals. Tower constructed around the world which helps in transmitting and receiving signals, at times during disaster, towers are seem to be less effective in transmitting or receiving signals for emergency purpose. Construction of tower made with the help of fibre materials which more costly when compared to other materials used. This disadvantage made the evolution of our Dynamic Network Emitter, where it portable and helps in continuous spreading of information when at emergency times. Drone set up to help with the purpose and Drones have had numerous other uses in the defence, military, tactical, and modern warfare world as well.
Identifying 3D Models by Matching Rendered Image and Depth Image with Using a New Combined Descriptor

Abstract This paper presented a 3D model identification method by matching pairs of rendered images and depth images. Firstly, the technique uses the HARRIS detector and PIIFD detector (partial intensity invariant feature descriptor) to detect feature points of rendered-depth image pair of shape and then uses LGHD (Log-Gabor Histogram Descriptor) to descript these feature points. Secondly, the shape identification processing is conducted, including normalizing shape pose, capturing multi-view pairs of rendered images and depth images, and image matching. Finally, 100 pairs of 3D models are used for the experiment. The experiment results show that the proposed method has an efficient performance on rendered-depth image matching and can be used for 3D model identification.
A Secure Based Preserving Social Media Data Mangement System

Personalized suggestions are important to help users find relevant information. It often depends on huge collection of user data, especially users’ online activity (e.g., liking/commenting/sharing) on social media, thereto user interests. Publishing such user activity makes inference attacks easy on the users, as private data (e.g., contact details) are often easily gathered from the users’ activity data. during this module, we proposed PrivacyRank, an adjustable and always protecting privacy on social media data publishing framework , which protects users against frequent attacks while giving personal ranking based recommendations. Its main idea is to continuously blur user activity data like user-specified private data is minimized under a given data budget, which matches round the ranking loss suffer from the knowledge blurring process so on preserve the usage of the info for enabling suggestions. a true world evaluation on both synthetic and real-world datasets displays that our model can provide effective and continuous protection against to the info given by the user, while still conserving the usage of the blurred data for private ranking based suggestion. Compared to other approaches, Privacy Rank achieves both better privacy protection and a far better usage altogether the rank based suggestions use cases we tested.
Implementation of Innovative “Integrated Learning Modules” in a Spiral Curriculum: Successes and Challenges

Study Objective Integration of basic and clinical sciences have become important for relevant learning. Issues regarding satisfaction and acceptance of the amount and extent of integration early in the curriculum has always been a subject of debate among curriculum developers. Also, organization and implementation is a major challenge for curriculum coordinators and facilitators. At SQU, one of the hallmarks of the spiral curriculum adopted in the MD degree plan are the integrated modules which emphasize integration of basic and clinical sciences through horizontal and vertical integration in the phase 2/M2 of the curriculum. Various teaching learning activities included in this module are case based presentations, clinical skills, and lectures on medical professionalism and ethics. The purpose of the study is to evaluate the integrated modules from the students and tutors' viewpoint and analyze the strengths and weakness of the integrated program. Methods Module design included‐ Module planning, module development and module implementation. Case presentations were so designed to understand the pathophysiology of signs and symptoms, rationale for ordering investigations, interpretation of results and principles of management in a case based student directed learning environment along with anatomical skills pertaining to the case presentations. Students and facilitators were given a structured questionnaire which dealt with appropriateness of content and objectives, teaching learning methods, content coherence and evaluation methods. Results Over 70% of students felt the learning objectives and content were appropriate as it reinforced deep learning and relevance of learning. 96% of students felt the clinical skills lab enhanced their basic science reflections on clinical application of practice. 84% felt the assessments using team‐based assessments improved group learning and professional socialization. However, more than 70% students felt that most facilitators were discipline centered. The facilitators felt that there is need for commitment of faculty and departments for efficient conduction of sessions. However, facilitating the sessions of this module helped them to realize the deficiencies in the curriculum and the emphasis that needs to be laid in their core disciplines. It also promoted co‐operation between staff members from different disciplines and enhanced integration within disciplines. Conclusion Integration between basic and clinical sciences stimulates profound and self ‐ directed learning among students. Faculty workshops on integrated teaching as part of professional development is likely to strengthen integrated teaching in the curriculum by reducing discipline bias and focusing on case centered learning. Also, forming integrated subcommittees will make the implementation of this module more robust. This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .
Agricultural Financial Support Services from Commercial Banks for Youth Farmers in KwaraState: Implication for Policy Reform for Youth Engagement in Agriculture

Over the years, government has adopted various agricultural policy measures to address the problems confronting agricultural development in Nigeria. In most of these policies the issue of access to finance and youth engagement in agriculture has always been a major focus. In spite of the various revisions and changes in policies, youth participation in agriculture -especially graduates of agriculture- due to inadequate finance to motivate them is still a subject of concern. Therefore, this study examined the trends of policy development in agriculture up to the present time as well as assessed the agricultural financial support services that youth farmers have enjoyed from commercial banks based on the policy provision. The study specifically examined the financial support services available in commercial banks and benefited by youth farmers; the level of awareness of youth farmers about the financial support services available to them in commercial banks; the regularity of financial support services made available by commercial banks to youth farmers and the extent to which youth farmers patronize financial support services available in commercial banks. The study adopted descriptive survey design. The respondents for the study consisted of youth farmers registered with state ministry of agriculture and agricultural desk officers in commercial banks in Ilorin, Kwara State, Nigeria. Questionnaire was used as instrument for the study. Data analysis was done using descriptive statistics of frequency and mean value. Findings from the study revealed that agricultural financial support services for youth farmers from commercial banks include: seasonal production loans, farming equipment/machineries credits with deferred payment; credits for inputs; information on how to assess finances from banks and other agencies such as sensitization programmes; finances for acquiring storage facilities and Finance for purchasing livestock. Youth farmers are aware of the existence of these services but their level of patronage is low. However, they claimed that these facilities are given occasionally to those who have collaterals to secure them. Based on the findings, it was recommended among others that adequate policy provision that could facilitate youths farmers easy access to financial support services should be put in place while government should always involve youths who specialized in agriculture and agricultural lecturers in policy formulations to fast-track easy transition of youths from school into agricultural production.