bluuebunny/crossref_metadata_2025 huggingface dataset:
SHAHABAT YANG DITERIMA RIWAYATNYA: KAJIAN TENTANG KUALITAS PRIBADI DAN KAPASITAS INTELEKTUAL (KE-DLABIT-AN DAN ‘ADALAT AL-SHAHABAH)
Authors: Zayyadi Ach
Published: July 2020

This paper used the method of librarian research and aims to reveal the companions of his history: the study of personal qualities and intellectual capacities (dlabit-an and 'Adalat al-Shahabah) In the hadith, it is explained about the urgency of friends in relation to the series transmission of hadith. Which, friends have an important role in the effort to transfer the religious information in the next period, so it can be said, without friends, the religious information will not reach the next period, even today. In this study concluded that there are two great views in the transmission of hadith. The first assumes that companions have a very qualified personal qualities that can not be doubted by anything. While the second, the classification and clarifying  level of personal quality of friends affected by many factors. The quality of the traditions narrated by the Companions is not merely a matter of personal quality ('just), but the personal capacity (dhabith) of a transmitter becomes something very urgent for the implementation of a true and responsible doctrine.
KONSEP DEMOKRASI NURCHOLISH MADJID DAN IMPLEMENTASINYA DALAM FILSAFAT PENDIDIKAN ISLAM
Authors: Yu’timaalahuyatazaka Yu’timaalahuyatazaka
Published: July 2020

Democracy in Indonesia is being tested. There are several the serious issues which is  highlighted recently such as money politic, political ethics, corrupt, and one of the cases of blasphemy. These problems need to be finished withthe education activities to overcome the nation's problems closely related to the issue of democracy. With the Nurcholish’s concept of democracy, it is hoped to give an awareness that the democracy is the concept of Islam on the Qoran and Sunnah. Besides Islamic education can offer a new theoretical construction of democracy that can provide alternative solutions to the problems of contemporary society in Indonesia. This research uses a library research. The data is obtained by using a literature review. Then, it is understood and analyzed theoritically and philosophically. The result ofresearch is the democratic Islamic education in the idea’s Nurcholish Madjid is Islamic education which prioritizes the principle of togetherness, change and development. Islamic education also needs to instill Indonesian-ness and modernity values in addition to Islam itself.
KARAKTERISTIK IDEAL SIKAP RELIGIUSITAS PADA MASA DEWASA
Authors: Iswati Iswati
Published: July 2020

The purpose of this paper is to examine how the ideal characteristics of religious attitudes in adulthood. Adulthood is a period where an individual has completed his growth both on physiological, psychological and sociological aspects. In adulthood, people already have responsibilities, have realized the meaning of life. already has a clear identity and a strong personality. The attitude of adult religiosity has a broad perspective based on the values chosen. This attitude is generally based on deepening the understanding and expansion of understanding of the teachings of the religion he adheres to. Stability in the view of religious life and the religious behavior of adult humans is dynamic stability. They understand the nature of their creation "I live and I know what for". However, in order to lead to religious maturity there are also some obstacles, those who are able to accept the ratio will appreciate and then practice the teachings of the religion well, on the contrary, people who are less able to accept the ratio will depend more on the existing community.
PENDIDIKAN KAUM SUFI DI INDONESIA (Materi dan Metode Pendidikannya)
Authors: Rangkuti Suheri Sahputra
Published: July 2020

Sufis are part of the nomenclature of Islam in Indonesia. its existence which is already old even almost simultaneously with the entry of Islam into Indonesia certainly has involvement and contribution in building the nation. In addition, the pattern of tarekat in Indonesia which does not negate the worldly orientation is able to encourage change. Therefore, this article wants to reveal the material and methods of education to contribute ideas to enrich the treasures of Islamic education.
DAMPAK PERNIKAHAN DINI TERHADAP KEHARMONISAN KELUARGA DAN POLA ASUH ANAK (Studi Kasus Atas Masyarakat Desa Sukaraja Lampung Timur)
Authors: Cahyono Heri , Dewi Eka
Published: July 2020

Early marriage affects the formation of a family that is not harmonious. That is because psychologically and socio-economically the early marriage partner is not yet mature. They are classified as unstable and generally do not have a permanent job. Besides being unstable, early marriage partners also do not have much knowledge about how to care for children, so they cannot apply the right pattern of parenting.The hypothesis in this study is that there is the effect of early marriage on Family Harmony in the village of Sukaraja Tiga, Kec. Marga Tiga, Kab. East Lampung and there is an influence of early marriage on the pattern of child care in the village of Sukaraja Tiga, Kec. Marga Tiga, Kab. East Lampung. This study is a population study with a population of 15 early marriage partners. Data analysis in this study uses the Product Moment formula.The results showed that the first hypothesis was accepted, as evidenced by the price of r_xy 0.573 greater than r_tabel at df = N-nr = 15-2 = 13 and a significance level of 5% at 0.514, so it can be concluded that the theory that "marriage at the age young people will invite many unexpected problems because their psychological aspects are immature. It is not uncommon for couples who experience a collapse in a household due to a marriage that is too young "to be proven correct.The second hypothesis is also accepted, as evidenced by the price of r_xy 0.532 greater than r_tabel at df = N - nr = 15-2 = 13 and at the 5% significance level of 0.514 so it can be concluded the theory states that "Age is one of the characteristics of maturity where it can affect its role in children, because with increasing age a person occurs the process of maturity of both the organ and the way of his mind so that it can provide the right parenting for his child "proved correct.
UPAYA MENINGKATKAN MOTIVASI DAN HASIL BELAJAR FIQIH MELALUI SCIENTIFIC LEARNING DI MAN 1 CILEGON
Authors: Turiyah Turiyah
Published: July 2020

Success in the subject of fiqh is one component that measures the success of the learning process, in addition to achieving academic achievement but has a major influence on the growth and development of student character. So by motivating students is one form of encouragement that comes from outside the individual or from within the individual to influence every activity of students in participating in learning activities. Based on the phenomena that arises there are still many students who follow the lessons have not been effective so that the value obtained is still under standard. This needs an innovation in the form of a learning approach so that classroom learning is not monotonous.Keywords. Effort, motivation, results
PENINGKATAN PRESTASI BELAJAR AL-QUR’AN HADITS MELALUI METODE MIND MAPPING PADA SISWA KELAS VII A MTs NEGERI 4 BANTUL TAHUN PELAJARAN 2019-2020
Authors: Mafrudah Mafrudah
Published: July 2020

Penelitian ini bertujuan untuk mengetahui bagaimana cara meningkatkan motivasi dan hasil belajar siswa melalui metode Mind Mapping  dalam pembelajaran Al Qur’an Hadis. Penelitian ini merupakan penelitian tindakan kelas (Classroom Action Resarch). Subyek penelitian ini adalah siswa kelas VII A MTs Negeri 4 Bantul tahun pelajaran 2019-2020. Hasil penelitian ini menunjukkan adanya peningkatan motivasi dan hasil belajar secara signifikan. Prosentase motivasi belajar siswa pada siklus 1 pertemuan 1 sebesar 66.66%, siklus 2 pertemuan  2 naik menjadi 93,33%. Prosentase hasil belajar  siswa pada pra siklus sebesar 16,66% yang tuntas.  Pada siklus 1 naik menjadi 86.66% dan pada siklus 2 mengalami kenaikan lagi menjadi 96,66%  yang tuntas. Penerapan metode Mind Mapping  dalam pembelajaran Al Qur’an Hadis dapat meningkatkan motivasi dan hasil belajar dengan melakukan modifikasi dalam hal; penggunaan metode dan media yang menarik, pengaturan pengelompokan siswa dan tempat duduk, serta strategi pengelolaan kelas yang efektif.
SOCIAL AND INSTITUTIONAL SITUATION OF THE PRESCHOOL CHILD’S DEVELOPMENT
Authors: Mykhalska Svitlana
Published: July 2020

The article deals with the important problem of preschooler’s social development. It has been found, that social development of personality, is an interconnected process of preschool child’s socialization and individualization. The theory of multidimensional personality structure is considered. The article analyzes the changes in the social situation of the child's existence and development, in particular, the ontogeny and sociogenesis conditions; socio-cultural and psychological bases of preschooler’s life activity, who may be in different educational institutions; living conditions and prerequisites for the children development in various aspects; institutional and social situation of preschool childhood. A special feature of the new social situation in society is the growing role of the media. It is proved, that the preschool age is characterized by a new social situation of development, when the sphere of child interaction and the circle of communication are greatly expanded; communication with adults becomes more complicated, takes on new forms and content. The social transformation of the preschool child’s game is shown, which characterizes by the absence of play environment, a decrease of play level, the impossibility of mastering by the child of social roles, which leads to a slow formation of the child's social identity at the beginning of school. It is argued, that education, training and development must occur in the unity of all the psychic qualities, which are inherent to a child of this age (curiosity, interest, play, ability to be creative and more). It is revealed, that in childhood the main criteria of periodization and personality formation are the position on the dynamics of the social development, the dynamics of leading activities and the dynamics of their own personal new items in a certain order of significance. The growing up of a child indicates a change in the sequence and dynamics of social development. It is determined, that a psychologically mature preschooler is a child who, according to emotional, volitional and intellectual traits, is ready to changes in new situations of communication and activity; ready to consciously regulate his/her intentions, actions, plans. This is a child who has developed volitional regulation, independence, motivation to manifest different kinds of activity: awareness of himself, positive attitude to the world, to him/herself and others, adequate self-esteem, willingness to interact, ability to organize a game, play, act together, desire to be a part of the group, the ability to empathize, provide and ask for help. This is a child who has advanced communication skills, listening skills to others, decision-making skills, etc.
Momento de pensar en Tecnología Pública
Authors: Vannini Pablo
Published: July 2020

El presente texto busca aportar una mirada desde las tecnologías públicas y en particular desde la perspectiva del Software Público para ayudar a repensar el Estado y sus capacidades de acción.
Neoliberalismo, democracia y subjetividad
Authors: Stoessel Soledad , Retamozo Martín
Published: July 2020

Este artículo se desarrolla a partir de dos interrogantes. El primero es cómo pensar el orden de dominación vigente que llamamos neoliberalismo y el segundo, cómo enfrentarlo en los tiempos contemporáneos en que aquel parece persistir a través de diversos dispositivos y técnicas. El neoliberalismo ha operado como un modo de regulación, una racionalidad y una subjetividad a lo largo del tiempo. Las formas de enfrentarlo, pues, deben contemplar esa triple dimensión. Mediante el voto universal es posible solventar la primera. Para erradicarlo en las otras dimensiones se requiere, en cambio, -y esta es la hipótesis de este texto- construir un sujeto “pueblo” que pueda asumirse como fundamento, estrategia y proyecto, con el horizonte de restituir el vínculo entre soberanía popular y justicia social, en el marco de instituciones democráticas.
Herramientas pedagógicas innovadoras en el Recinto “Urania Montás”, San Juan de la Maguana, República Dominicana.
Authors: Gutiérrez Valerio Rosaura , Virgilio Verónica , Moreno Nahdy , Maruri Torres Carla Natalia
Published: July 2020

El presente estudio responde de forma directa a la búsqueda docente de herramientas pedagógicas innovadoras, de enseñanza y aprendizaje, vinculadas al desarrollo consciente del ser humano. Este direccionamiento admitió la implementación de la Terapia Comunitaria Integrativa Sistémica (TCI) y sus Ruedas Vinculantes en el Recinto “Urania Montás”. La intención principal fue elevar la calidad de la formación docente, a través de la construcción y fortalecimiento del sí mismo, y de vínculos solidarios y saludables en estudiantes y docentes.

El uso de esta herramienta y la riqueza de su metodología, permitió el registro de datos cualitativos y cuantitativos, sostenidos, que permitieron identificar situaciones y emociones limitantes para el desarrollo humano y profesional de los participantes; a su vez se registraron experiencias y estrategias resilientes que refuerzan ambos componentes del objetivo del proyecto.

Se realizaron 45 Ruedas Vinculantes con la asistencia de 188 personas. Los resultados de su aplicación indican que el 75% (141 casos) señalaron malestares relacionados a situaciones de estrés, conflictos en general y familiares, discriminación y violencia. Las emociones registradas fluctúan entre las familias del miedo (39%), rabia (36%), tristeza (22%), culpa y desconfianza (3%).

En consonancia con su metodología, las Ruedas Vinculantes afloran la posibilidad de compartir estrategias y experiencias resilientes; es así que, de las 110 estrategias compartidas, 61% apuntan a la construcción y fortalecimiento del sí mismo; 21%, a la construcción de vínculos solidarios y saludables, 5% a ambos, y 13% a otros.

La consonancia de la aplicación de la herramienta con los objetivos del proyecto y resultados del mismo, vislumbran la Terapia Comunitaria como un aporte innovador para la formación docente.
Lesson Study como propuesta formativa permanente para el profesorado:
Authors: Peña Trapero Noemí
Published: July 2020

Este artículo pretende analizar las Lesson Study como estrategia formativa cíclica y permanente (a lo largo de la vida del docente) que posibilita la reconstrucción del conocimiento práctico (conjunto de conocimientos, habilidades, actitudes, valores y emociones que condicionan la interpretación de la realidad y la toma de decisiones del docente) a través de dos procesos clave (teorización de la práctica y experimentación de la teoría), profundizando en una de las dimensiones del mismo: las actitudes docentes. Partiendo de un estudio de casos cualitativo y fenomenológico que se nutre tanto de las entrevistas a una docente como del conocimiento derivado de la observación de la acción en el aula, hemos dado con una serie de hallazgos que demuestran la potencialidad de las Lesson Study en relación a dos ejes fundamentales de la enseñanza (contenidos y métodos). De esta manera los resultados demuestran cómo la experiencia de Lesson Study ha permitido replantear el pensamiento y la acción de una docente de Educación Infantil.
Computed tomographic findings of dental disease in domestic rabbits (Oryctolagus cuniculus): 100 cases (2009–2017)
Authors: Artiles Charles A. , Sanchez-Migallon Guzman David , Beaufrère Hugues , Phillips Kathryn L.
Published: July 2020

OBJECTIVE

To characterize the CT findings and epidemiological features of acquired dental disease in rabbits.

ANIMALS

100 client-owned rabbits (Oryctolagus cuniculus).

PROCEDURES

Medical records were searched to identify rabbits that underwent skull CT for any reason from 2009 to 2017. History, signalment, and physical examination findings were recorded. The CT images were reevaluated retrospectively for evidence of dental disease and graded according to a previously described system (from 1 [no evidence of disease] to 5 [severe dental disease]) for acquired dental disease in rabbits, and an overall (mean) grade was assigned. Descriptive analyses were performed. Factors were assessed for associations between dental disease grade and malocclusion stage.

RESULTS

Common findings included premolar or molar tooth curvature in transverse (n = 100 rabbits) and sagittal (95) planes, apical elongation of premolar or molar teeth (99), sharp dental points (93), deformation of the mandibular canal (82), and periodontal ligament space widening (76). Acquired dental disease was classified as grade 1 (n = 2 rabbits), 2 (60), 3 (14), 4 (4), or 5 (20). Most CT findings were significantly correlated with each other. Agreement of grades was fair between left- and right-sided quadrants and between maxillary and mandibular quadrants. Age was associated with increasing dental disease grade and malocclusion stage (proportional ORs, 1.21 and 1.32/y, respectively).

CONCLUSIONS AND CLINICAL RELEVANCE

Fair agreement in disease grades between dental quadrant pairs indicated a degree of asynchrony in the development of dental disease. Findings suggested premolar or molar tooth curvature in a sagittal plane, subtle elongation at premolar or molar tooth apices, and mandibular canal deformation should be added to the grading system.
Fractional Calculus involving (p, q)-Mathieu Type Series
Authors: Kaur Daljeet , Agarwal Praveen , Rakshit Madhuchanda , Chand Mehar
Published: July 2020

Aim of the present paper is to establish fractional integral formulas by using fractional calculus operators involving the generalized (p, q)-Mathieu type series. Then, their composition formulas by using the integral transforms are introduced. Further, a new generalized form of the fractional kinetic equation involving the series is also developed. The solutions of fractional kinetic equations are presented in terms of the Mittag-Leffler function. The results established here are quite general in nature and capable of yielding both known and new results.
Numerical Comparison of FNVIM and FNHPM for Solving a Certain Type of Nonlinear Caputo Time-Fractional Partial Differential Equations
Authors: Khalouta Ali , Kadem Abdelouahab
Published: July 2020

This work presents a numerical comparison between two efficient methods namely the fractional natural variational iteration method (FNVIM) and the fractional natural homotopy perturbation method (FNHPM) to solve a certain type of nonlinear Caputo time-fractional partial differential equations in particular, nonlinear Caputo time-fractional wave-like equations with variable coefficients. These two methods provided an accurate and efficient tool for solving this type of equations. To show the efficiency and capability of the proposed methods we have solved some numerical examples. The results show that there is an excellent agreement between the series solutions obtained by these two methods. However, the FNVIM has an advantage over FNHPM because it takes less time to solve this type of nonlinear problems without using He’s polynomials. In addition, the FNVIM enables us to overcome the diffi-culties arising in identifying the general Lagrange multiplier and it may be considered as an added advantage of this technique compared to the FNHPM.
Rheological Behavior of Fly Ash Suspension with Additive for Hydraulic Conveyance
Authors: Kumar K.
Published: July 2020

In the present work, rheological behaviour of a fine particulate fly ash slurry suspension is studied with and without addition of an additive. Rheological experiments are performed for the range of shear rate from 50 to 200 s1. Sodium sulfate is used as an additive in the fraction of 0.2, 0.4 and 0.6% (by weight). Addition of sodium sulfate to the fly ash slurry suspension leads to an improvement of its rheological characteristics. A reduction in relative viscosity and pressure drop is more pronounced with the addition of sodium sulfate in proportion of 0.4%, while marginal with 0.2 and 0.6% (by weight). The analysis reveals that the fly ash suspension has a potential to for being transported in a slurry pipeline with higher concentration and minimum energy consumption.
Consumers Towards Sustainable Food Consumption
Authors: Maciejewski Grzegorz
Published: July 2020

The progressive and unprecedented growth of the Earth’s population and the shrinking of the planet’s natural resources make it necessary to look at contemporary consumption from the point of sustainable development goals. The purpose of the paper is to characterise consumers’ attitude towards the idea of sustainable food consumption, which manifests itself in declared undertaking of sustainable behaviours both on the market and in households. The research employed the exploratory survey technique (direct survey) on a sample of 900 consumers from Poland and Slovakia. The most common declared sustainable behaviours include: avoiding overconsumption, monitoring healthy eating, as well as sorting and recycling of waste. On the other hand, the customers of both countries should be more strongly encouraged to reduce the consumption of water, electricity and natural gas when preparing meals. Less than half of all respondents declared such behaviour.
The Greta Thunberg’s Phenomenon and Technology of Mediatization of Ecological Protests
Authors: Semedov S. A. , Sukhareva V. A.
Published: July 2020

This article is devoted to the study of the mediatization technologies, the theatricalization of politics, and the penetration mechanism of mass culture into politics using the example of 2019’s bright phenomenon - Greta Thunberg and her «climate strikes». In this case, various aspects (political, sociopsychological, international, environmental, and ethical) are viewed and need analysis. However, the study of the interaction between the modern information environment and digital natives (generation Z), and the latest tools of modeling mass consciousness is of particular interest. Hybrid forms including elements of mass culture, communication strategies, manipulation technologies, and role-playing avatars present, nowadays, a serious threat to conservative politics. These politics present poorly calculated schemes of latent influence on mass consciousness. «Greta Thunberg - an angry girl in the struggle for the Earth» is a beautiful story, well created and produced with all modern social technologies, efficiently embedded in the world political agenda. A year after its appearance, it is a lever of pressure on high politics, a tool for man aging mass consciousness and a role-playing avatar for young people from 10 to 20 years old and, what’s more, a rooted sociocultural meme. The complexity of the study of this topic is due to the relative freshness of the case, its interdisciplinary character, and most importantly, its incompleteness. The final case can be modeled in different aspects, depending on the creativity of the «producers» behind the project. However, in the heyday of social media «in the global village» such hybrid entities will appear again and again. If, until recently, the most labile and manipulative audience was young people and students, in a short term society may face a «revolution of children» led by Hameln Pied Piper through social networks.
«European Home» Concept seen in French Art and Culture (on the Example of M. Houellebecq’s Work)
Authors: Korolev A. A.
Published: July 2020

The literature of modern France vividly expresses the cultural element of the form of «métissage» the essential features of which are today conceptualized by the concept of «European home». Undoubtedly, its examination through the lens of cultural studies allows the tracing of not only the logicalconceptual but also the empirical content of the concept is of particular interest. In addition, our huge interest lies within the identification and the description of the contradictions between «general» and «special» in the private lives of individuals as well as in that of entire nations in the context of globalization, European integration, and technological revolution. The work of the famous French writer Michel Houellebecq provides rich material for the study of the above topic. In his books, M. Houellebecq identified several problems that, according to him, contribute to the accelerating decomposition of unique European cultures. Among them, one can distinguish the dominance of the European and national bureaucracies, the destruction of the historically established cultural and casual lifestyle, and their standardization. The writer also raises a more general issue about the causes of the modern man’s distorted identity. In his opinion, these problems basically originate from the loss of religious and moral values, leading to confusion and weakness of will, turning the daily existence of a demoralized individual to a routine of simulated consumption. Inevitably, such simulation destroys emotionality, depriving a person of proper human feelings, and prevents them from creating stable relationships with other people. Houellebecq describes the tectonic shifts in the cultural life of France along with the perception of a tragic change in the identity of the European people, whose home is «everywhere» and «nowhere».
Profession of Conductor of a Lifetime...
Authors: Petinova M. A.
Published: July 2020

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Success stories of COVID-19
Authors: Arya Vikrant , Parmar Ranjeet Kaur
Published: July 2020

Corona pandemic has unfurled its wings to disrupt the healthcare system of developing as well as developed countries and created havoc among healthcare professionals. Today, there is an atmosphere of trepidation at the possibility of getting new cure against this dreadful virus. People are looking with anxious eyes toward scientists to develop a vaccine against this virus. Already killed thousands of lives, this virus is spreading at a pace of fire. Some healthcare professionals and researchers are working out of the way to develop a new vaccine, and some are targeting the existing drug approach. Several successful trials were performed on Coronavirus disease-2019 (COVID-19) patients involving existing drugs in combination till date. This case series underlined those successful case studies of COVID-19. Different combinational approaches have been adopted by researchers such as the use of tissue plasminogen activators, extracorporeal membrane oxygenation and convalescent plasma therapy, intravenous immunoglobulins, antivirals drugs, antimalarials, antibiotics, interleukin antagonists, and corticosteroids to combat COVID-19. These therapies have corroborated to be constructive at some levels among individuals having a severe medical history as well as individuals without any profound medical history.
BARNet: Bilinear Attention Network with Adaptive Receptive Fields for Surgical Instrument Segmentation
Authors: Ni Zhen-Liang , Bian Gui-Bin , Wang Guan-An , Zhou Xiao-Hu , Hou Zeng-Guang , Xie Xiao-Liang , Li Zhen , Wang Yu-Han
Published: July 2020

Surgical instrument segmentation is crucial for computer-assisted surgery. Different from common object segmentation, it is more challenging due to the large illumination variation and scale variation in the surgical scenes. In this paper, we propose a bilinear attention network with adaptive receptive fields to address these two issues. To deal with the illumination variation, the bilinear attention module models global contexts and semantic dependencies between pixels by capturing second-order statistics. With them, semantic features in challenging areas can be inferred from their neighbors, and the distinction of various semantics can be boosted. To adapt to the scale variation, our adaptive receptive field module aggregates multi-scale features and selects receptive fields adaptively. Specifically, it models the semantic relationships between channels to choose feature maps with appropriate scales, changing the receptive field of subsequent convolutions. The proposed network achieves the best performance 97.47% mean IoU on Cata7. It also takes the first place on EndoVis 2017, exceeding the second place by 10.10% mean IoU.
Label-Attended Hashing for Multi-Label Image Retrieval
Authors: Xie Yanzhao , Liu Yu , Wang Yangtao , Gao Lianli , Wang Peng , Zhou Ke
Published: July 2020

For the multi-label image retrieval, the existing hashing algorithms neglect the dependency between objects and thus fail to capture the attention information in the feature extraction, which affects the precision of hash codes. To address this problem, we explore the inter-dependency between objects through their co-occurrence correlation from the label set and adopt Multi-modal Factorized Bilinear (MFB) pooling component so that the image representation learning can capture this attention information. We propose a Label-Attended Hashing (LAH) algorithm which enables an end-to-end hash model with inter-dependency feature extraction. LAH first combines Convolutional Neural Network (CNN) and Graph Convolution Network (GCN) to separately generate the image representation and label co-occurrence embeddings, then adopts MFB to fuse these two modal vectors, finally learns the hash function with a Cauchy distribution based loss function via back propagation. Extensive experiments on public multi-label datasets demonstrate that (1) LAH can achieve the state-of-the-art retrieval results and (2) the usage of co-occurrence relationship and MFB not only promotes the precision of hash codes but also accelerates the hash learning. GitHub address: https://github.com/IDSM-AI/LAH.
DIDFuse: Deep Image Decomposition for Infrared and Visible Image Fusion
Authors: Zhao Zixiang , Xu Shuang , Zhang Chunxia , Liu Junmin , Zhang Jiangshe , Li Pengfei
Published: July 2020

Infrared and visible image fusion, a hot topic in the field of image processing, aims at obtaining fused images keeping the advantages of source images. This paper proposes a novel auto-encoder (AE) based fusion network. The core idea is that the encoder decomposes an image into background and detail feature maps with low- and high-frequency information, respectively, and that the decoder recovers the original image. To this end, the loss function makes the background/detail feature maps of source images similar/dissimilar. In the test phase, background and detail feature maps are respectively merged via a fusion module, and the fused image is recovered by the decoder. Qualitative and quantitative results illustrate that our method can generate fusion images containing highlighted targets and abundant detail texture information with strong reproducibility and meanwhile surpass state-of-the-art (SOTA) approaches.
Exploiting Visual Semantic Reasoning for Video-Text Retrieval
Authors: Feng Zerun , Zeng Zhimin , Guo Caili , Li Zheng
Published: July 2020

Video retrieval is a challenging research topic bridging the vision and language areas and has attracted broad attention in recent years. Previous works have been devoted to representing videos by directly encoding from frame-level features. In fact, videos consist of various and abundant semantic relations to which existing methods pay less attention. To address this issue, we propose a Visual Semantic Enhanced Reasoning Network (ViSERN) to exploit reasoning between frame regions. Speciﬁcally, we consider frame regions as vertices and construct a fully-connected semantic correlation graph. Then, we perform reasoning by novel random walk rule-based graph convolutional networks to generate region features involved with semantic relations. With the beneﬁt of reasoning, semantic interactions between regions are considered, while the impact of redundancy is suppressed. Finally, the region features are aggregated to form frame-level features for further encoding to measure video-text similarity. Extensive experiments on two public benchmark datasets validate the effectiveness of our method by achieving state-of-the-art performance due to the powerful semantic reasoning.
Weakly Supervised Local-Global Relation Network for Facial Expression Recognition
Authors: Zhang Haifeng , Su Wen , Yu Jun , Wang Zengfu
Published: July 2020

To extract crucial local features and enhance the complementary relation between local and global features, this paper proposes a Weakly Supervised Local-Global Relation Network (WS-LGRN), which uses the attention mechanism to deal with part location and feature fusion problems. Firstly, the Attention Map Generator quickly finds the local regions-of-interest under the supervision of image-level labels. Secondly, bilinear attention pooling is employed to generate and refine local features. Thirdly, Relational Reasoning Unit is designed to model the relation among all features before making classification. The weighted fusion mechanism in the Relational Reasoning Unit makes the model benefit from the complementary advantages between different features. In addition, contrastive losses are introduced for local and global features to increase the inter-class dispersion and intra-class compactness at different granularities. Experiments on lab-controlled and real-world facial expression dataset show that WS-LGRN achieves state-of-the-art performance, which demonstrates its superiority in FER.
Dress like an Internet Celebrity: Fashion Retrieval in Videos
Authors: Zhao Hongrui , Yu Jin , Li Yanan , Wang Donghui , Liu Jie , Yang Hongxia , Wu Fei
Published: July 2020

Nowadays, both online shopping and video sharing have grown exponentially. Although internet celebrities in videos are ideal exhibition for fashion corporations to sell their products, audiences do not always know where to buy fashion products in videos, which is a cross-domain problem called video-to-shop. In this paper, we propose a novel deep neural network, called Detect, Pick, and Retrieval Network (DPRNet), to break the gap between fashion products from videos and audiences. For the video side, we have modified the traditional object detector, which automatically picks out the best object proposals for every commodity in videos without duplication, to promote the performance of the video-to-shop task. For the fashion retrieval side, a simple but effective multi-task loss network obtains new state-of-the-art results on DeepFashion. Extensive experiments conducted on a new large-scale cross-domain video-to-shop dataset shows that DPRNet is efficient and outperforms the state-of-the-art methods on video-to-shop task.
Early and Efficient Identification of Useless Constraint Propagation for Alldifferent Constraints
Authors: Zhang Xizhe , Gao Jian , Lv Yizhi , Zhang Weixiong
Published: July 2020

Constraints propagation and backtracking are two basic techniques for solving constraint satisfaction problems (CSPs). During the search for a solution, the variable and value pairs that do not belong to any solution can be discarded by constraint propagation to ensure generalized arc consistency so as to avoid the fruitless search. However, constraint propagation is frequently invoked often with little effect on many CSPs. Much effort has been devoted to predicting when to invoke constraint propagation for solving a CSP; however, no effective approach has been developed for the alldifferent constraint. Here we present a novel theorem for identifying the edges in a value graph of alldifferent constraint whose removal can significantly reduce useless constraint propagation. We prove that if an alternating cycle exists for a prospectively removable edge that represents a variable-value assignment, the edge (and the assignment) can be discarded without constraint propagation. Based on this theorem, we developed a novel optimizing technique for early detection of useless constraint propagation which can be incorporated in any existing algorithm for alldifferent constraint. Our implementation of the new method achieved speedup by a factor of 1-5 over the state-of-art approaches on 93 benchmark problem instances in 8 domains. Furthermore, the new algorithm is scalable well and runs increasingly faster than the existing methods on larger problems.
Concentration of Distortion: The Value of Extra Voters in Randomized Social Choice
Authors: Fain Brandon , Fan William , Munagala Kamesh
Published: July 2020

We study higher statistical moments of Distortion for randomized social choice in a metric implicit utilitarian model. The Distortion of a social choice mechanism is the expected approximation factor with respect to the optimal utilitarian social cost (OPT). The k'th moment of Distortion is the expected approximation factor with respect to the k'th power of OPT. We consider mechanisms that elicit alternatives by randomly sampling voters for their favorite alternative. We design two families of mechanisms that provide constant (with respect to the number of voters and alternatives) k'th moment of Distortion using just k samples if all voters can then participate in a vote among the proposed alternatives, or 2k-1 samples if only the sampled voters can participate. We also show that these numbers of samples are tight. Such mechanisms deviate from a constant approximation to OPT with probability that drops exponentially in the number of samples, independent of the total number of voters and alternatives. We conclude with simulations on real-world Participatory Budgeting data to qualitatively complement our theoretical insights.
Bipartite Encoding: A New Binary Encoding for Solving Non-Binary CSPs
Authors: Wang Ruiwei , Yap Roland H.C.
Published: July 2020

Constraint Satisfaction Problems (CSPs) are typically solved with Generalized Arc Consistency (GAC). A general CSP can also be encoded into a binary CSP and solved with Arc Consistency (AC). The well-known Hidden Variable Encoding (HVE) is still a state-of-the-art binary encoding for solving CSPs. We propose a new binary encoding, called Bipartite Encoding (BE) which uses the idea of partitioning constraints. A BE encoded CSP can achieve a higher level of consistency than GAC on the original CSP. We give an algorithm for creating compact bipartite encoding for non-binary CSPs. We present a AC propagator on the binary constraints from BE exploiting their special structure. Experiments on a large set of non-binary CSP benchmarks with table constraints using the Wdeg, Activity and Impact heuristics show that BE with our AC propagator can outperform existing state-of-the-art GAC algorithms (CT, STRbit) and binary encodings (HVE with HTAC).
Domain Adaptive Classification on Heterogeneous Information Networks
Authors: Yang Shuwen , Song Guojie , Jin Yilun , Du Lun
Published: July 2020

Heterogeneous Information Networks (HINs) are ubiquitous structures in that they can depict complex relational data. Due to their complexity, it is hard to obtain sufficient labeled data on HINs, hampering classification on HINs. While domain adaptation (DA) techniques have been widely utilized in images and texts, the heterogeneity and complex semantics pose specific challenges towards domain adaptive classification on HINs. On one hand, HINs involve multiple levels of semantics, making it demanding to do domain alignment among them. On the other hand, the trade-off between domain similarity and distinguishability must be elaborately chosen, in that domain invariant features have been shown to be homogeneous and uninformative for classification. In this paper, we propose Multi-space Domain Adaptive Classification (MuSDAC) to handle the problem of DA on HINs. Specifically, we utilize multi-channel shared weight GCNs, projecting nodes in HINs to multiple spaces where pairwise alignment is carried out. In addition, we propose a heuristic sampling algorithm that efficiently chooses the combination of channels featuring distinguishability, and moving-averaged weighted voting scheme to fuse the selected channels, minimizing both transfer and classification loss. Extensive experiments on pairwise datasets endorse not only our model's performance on domain adaptive classification on HINs and contributions by individual components.
Joint Representation Learning of Legislator and Legislation for Roll Call Prediction
Authors: Yang Yuqiao , Lin Xiaoqiang , Lin Geng , Huang Zengfeng , Jiang Changjian , Wei Zhongyu
Published: July 2020

In this paper, we explore to learn representations of legislation and legislator for the prediction of roll call results. The most popular approach for this topic is named the ideal point model that relies on historical voting information for representation learning of legislators. It largely ignores the context information of the legislative data. We, therefore, propose to incorporate context information to learn dense representations for both legislators and legislation. For legislators, we incorporate relations among them via graph convolutional neural networks (GCN) for their representation learning. For legislation, we utilize its narrative description via recurrent neural networks (RNN) for representation learning. In order to align two kinds of representations in the same vector space, we introduce a triplet loss for the joint training. Experimental results on a self-constructed dataset show the effectiveness of our model for roll call results prediction compared to some state-of-the-art baselines.
Stable Matchings with Diversity Constraints: Affirmative Action is beyond NP
Authors: Chen Jiehua , Ganian Robert , Hamm Thekla
Published: July 2020

We investigate the following many-to-one stable matching problem with diversity constraints (SMTI-DIVERSE): Given a set of students and a set of colleges which have preferences over each other, where the students have overlapping types, and the colleges each have a total capacity as well as quotas for individual types (the diversity constraints), is there a matching satisfying all diversity constraints such that no unmatched student-college pair has an incentive to deviate?

SMTI-DIVERSE is known to be NP-hard. However, as opposed to the NP-membership claims in the literature [Aziz et al., AAMAS 2019; Huang,SODA 2010], we prove that it is beyond NP: it is complete for the complexity class Σ^P_2. In addition, we provide a comprehensive analysis of the problem’s complexity from the viewpoint of natural restrictions to inputs and obtain new algorithms for the problem.
Performance as a Constraint: An Improved Wisdom of Crowds Using Performance Regularization
Authors: Li Jiyi , Kawase Yasushi , Baba Yukino , Kashima Hisashi
Published: July 2020

Quality assurance is one of the most important problems in crowdsourcing and human computation, and it has been extensively studied from various aspects. Typical approaches for quality assurance include unsupervised approaches such as introducing task redundancy (i.e., asking the same question to multiple workers and aggregating their answers) and supervised approaches such as using worker performance on past tasks or injecting qualification questions into tasks in order to estimate the worker performance. In this paper, we propose to utilize the worker performance as a global constraint for inferring the true answers. The existing semi-supervised approaches do not consider such use of qualification questions. We also propose to utilize the constraint as a regularizer combined with existing statistical aggregation methods. The experiments using heterogeneous multiple-choice questions demonstrate that the performance constraint not only has the power to estimate the ground truths when used by itself, but also boosts the existing aggregation methods when used as a regularizer.
Maximizing the Spread of an Opinion in Few Steps: Opinion Diffusion in Non-Binary Networks
Authors: Bredereck Robert , Jacobs Lilian , Kellerhals Leon
Published: July 2020

We consider the setting of asynchronous opinion diffusion with majority threshold: given a social network with each agent assigned to one opinion, an agent will update its opinion if more than half of its neighbors agree on a different opinion. The stabilized final outcome highly depends on the sequence in which agents update their opinion. We are interested in optimistic sequences---sequences that maximize the spread of a chosen opinion. We complement known results for two opinions where optimistic sequences can be computed in time and length linear in the number of agents. We analyze upper and lower bounds on the length of optimistic sequences, showing quadratic bounds in the general and linear bounds in the acyclic case. Moreover, we show that in networks with more than two opinions determining a spread-maximizing sequence becomes intractable; surprisingly, already with three opinions the intractability results hold in highly restricted cases, e.g., when each agent has at most three neighbors, when looking for a short sequence, or when we aim for approximate solutions.
All-Instances Oblivious Chase Termination is Undecidable for Single-Head Binary TGDs
Authors: Bednarczyk Bartosz , Ferens Robert , Ostropolski-Nalewaja Piotr
Published: July 2020

The chase is a famous algorithmic procedure in database

theory with numerous applications in ontology-mediated query answering.

We consider static analysis of the chase termination

problem, which asks, given set of TGDs, whether the chase

terminates on all input databases. The problem was recently

shown to be undecidable by Gogacz et al. for

sets of rules containing only ternary predicates.

In this work, we show that undecidability occurs already

for sets of single-head TGD over binary vocabularies.

This question is relevant since many real-world ontologies, e.g.,

those from the Horn fragment of the popular OWL, are of this shape.
Lower Bounds and Faster Algorithms for Equality Constraints
Authors: Jonsson Peter , Lagerkvist Victor
Published: July 2020

We study the fine-grained complexity of NP-complete, infinite-domain constraint satisfaction problems (CSPs) parameterised by a set of first-order definable relations (with equality). Such CSPs are of central importance since they form a subclass of any infinite-domain CSP parameterised by a set of first-order definable relations. We prove that under the randomised exponential-time hypothesis it is not possible to find c > 1 such that a CSP over an arbitrary finite equality language is solvable in O(c^n) time (n is the number of variables). Stronger lower bounds are possible for infinite equality languages where we rule out the existence of 2^o(n log n) time algorithms; a lower bound which also extends to satisfiability modulo theories solving for an arbitrary background theory. Despite these lower bounds we prove that for each c > 1 there exists an NP-hard equality CSP solvable in O(c^n) time. Lower bounds like these immediately ask for closely matching upper bounds, and we prove that a CSP over a finite equality language is always solvable in O(c^n) time for a fixed c.
On Robustness in Qualitative Constraint Networks
Authors: Sioutis Michael , Long Zhiguo , Janhunen Tomi
Published: July 2020

We introduce and study a notion of robustness in

Qualitative Constraint Networks (QCNs), which

are typically used to represent and reason about

abstract spatial and temporal information. In

particular, given a QCN, we are interested in obtaining

a robust qualitative solution, or, a robust scenario of

it, which is a satisfiable scenario that has a higher

perturbation tolerance than any other, or, in other

words, a satisfiable scenario that has more chances

than any other to remain valid after it is altered.

This challenging problem requires to consider the

entire set of satisfiable scenarios of a QCN, whose

size is usually exponential in the number of constraints

of that QCN; however, we present a first algorithm

that is able to compute a robust scenario of a QCN

using linear space in the number of constraints.

Preliminary results with a dataset from the

job-shop scheduling domain, and a standard one,

show the interest of our approach and highlight the

fact that not all solutions are created equal.