Valuable Content Research Articles

РОЛЬ КОНТЕНТ МАРКЕТИНГУ В РАМКАХ INBOUND МАРКЕТИНГУ

This article explores the shift from outbound marketing to inbound marketing, with a specific focus on the concept of content marketing. Outbound marketing, characterized by mass advertising, lacked selectivity in targeting recipients. Its drawbacks included high costs and low effectiveness, as it targeted a broad audience that might not be interested in the company's products. This approach was one-sided, lacked customer communication, and focused on product features and persuasive arguments for purchasing. In 2005, the concept of inbound marketing was introduced, emphasizing the attraction of potential customers through valuable content that encourages them to engage with the company and increases the likelihood of conversion. The term "content marketing" combines "content," referring to the material or information contained on a specific resource, and "marketing," which involves managing the market to provide consumer value and satisfy their needs. The authors argue that the customer's needs should be the primary focus of content marketing, as the content should provide independent value to them. However, businesses have their own goals, and content marketing should align with these objectives to be implemented effectively. There are three approaches to defining "content marketing": as a part or synonym of inbound marketing, as inbound marketing being a part of content marketing, or as a standalone phenomenon. Most publications equate these two approaches, considering content marketing an integral part of inbound marketing. English-speaking authors often perceive content marketing as a means of attracting the right qualified potential clients by creating and distributing relevant, valuable content. In contrast, inbound marketing is seen as a broader approach involving precise tools such as programming, analytics, marketing automation, and a wider range of methods to encourage visitors to take specific actions. This article also highlights the differences in the objectives and content of inbound marketing and content marketing. While inbound marketing aims to convert users into buyers, content marketing focuses on transforming them into potential consumers. Furthermore, the scope of inbound marketing is broader compared to content marketing.

Anomaly Detection in Social Media Texts Using Optimal Convolutional Neural Network

Social Networking Sites (SNSs) are nowadays utilized by the whole world to share ideas, images, and valuable contents by means of a post to reach a group of users. The use of SNS often inflicts the physical and the mental health of the people. Nowadays, researchers often focus on identifying the illegal behaviors in the SNS to reduce its negative influence. The state-of-art Natural Language processing techniques for anomaly detection have utilized a wide annotated corpus to identify the anomalies and they are often time-consuming as well as certainly do not guarantee maximum accuracy. To overcome these issues, the proposed methodology utilizes a Modified Convolutional Neural Network (MCNN) using stochastic pooling and a Leaky Rectified Linear Unit (LReLU). Here, each word in the social media text is analyzed based on its meaning. The stochastic pooling accurately detects the anomalous social media posts and reduces the chance of overfitting. The LReLU overcomes the high computational cost and gradient vanishing problem associated with other activation functions. It also doesn’t stop the learning process when the values are negative. The MCNN computes a specified score value using a novel integrated anomaly detection technique. Based on the score value, the anomalies are identified. A Teaching Learning based Optimization (TLBO) algorithm has been used to optimize the feature extraction phase of the modified CNN and fast convergence is offered. In this way, the performance of the model is enhanced in terms of classification accuracy. The efficiency of the proposed technique is compared with the state-of-art techniques in terms of accuracy, sensitivity, specificity, recall, and precision. The proposed MCNN-TLBO technique has provided an overall architecture of 97.85%, 95.45%, and 97.55% for the three social media datasets namely Facebook, Twitter, and Reddit respectively.

The phenomenon of pathostreaming and pathological content in the face of media policy

Pathological online communication behaviours and their detrimental effects have remained a significant component of Internet research ever since it became a field of study in media science. It is safe to say that, in addition to the valuable content posted on social media, one can also find content that can be threatening given the media reality of today’s online audience. In the author’s opinion, pathostreaming and pathological content should certainly be considered as such. Pathostreaming is a new phenomenon in the media space, which involves posting of online recordings or images containing obscene, vulgar and sexual content, as well as, spreading hate speech on various digital platforms. Its peculiarity has contributed to the emergence of new media entities – the pathostreamer, the pathoinfluencer and the pathouser. The author of this article attempts to analyse the activities of obscene content creators and their viewers using content analysis and interviews. The paper’s goals are to demonstrate the phenomenon of pathostreaming as the risk of social pathologies being transmitted into the online space and to outline media policy towards this media problem.

Love is Blind! in Byzantium The Blind Cupid Figure in Byzantine Art Through The Middle Ages

Antik dönem sanatında çok sevilen Eros, yetişkin rollerini oynayan tombul oğlanlar veya kanatlı/kanatsız putti imgeler şeklinde, circus konulu tasvirlerde, dövüş, her türden av ve kovalamaca sahnelerinde, sarkofaj konteksinde cenaze sanatında, sıkıcı tarımsal faaliyetleri neşeli ve heyecan uyandıran aktivitelere dönüştüren yaramaz çocuklar olarak tasvir edilmişlerdir. Bu uygulamaların Bizans sanatında devam ettiği görülür. Kimi zaman bağ bozumu sahnelerinde, euchariste (ökariste) bağlamında ya da öteki dünya ile ilişkilendirilerek cennete giden yolda görev alarak kristolojik sembolizm dâhilinde kullanılmışlardır. Erken Hristiyanlık dönemi katakomp resimlerinden Ortaçağın sonuna kadarki çeşitli Bizans eserlerinde yer alan Cupid figürünün ikonografisi iki kavramı barındırır: Tanrı aşkı ve dünyevi aşk. Etimolojisi ile bir Hıristiyan adaptasyonu olarak karşımıza çıkar zira sevgi/aşk anlamına gelen eros kelimesinin -dini ya da profan kavramsal bir yer edinmesi küçük aşk tanrısını ikiye bölmemiş zaten geçmişte de aşkın her türlü yüzünü temsil etmesi ile kişilere yabancı bir figür değildir. Hıristiyan metinlere nüfuz eden Θείος Έρως (İlahi Eros) kavramını Tanrı ile insan arasındaki sevgiyi anlatmanın bir yöntemi olarak kullanır; öte yandan manastır pratikleri figüre simgesel yaklaşım göstermiş, zengin dini metin ve figüratif içeriği ile dini sanatta sıradışı uygulamalar ortaya koymuştur; seküler edebiyatta ise başlıca konusu aşk olan destan ve romanslar incelendiğinde ulaşılan belirgin özelliklere sahip bir eros tarifine rastlanmış, bu tarifin ortaya konan sanatsal üretimler ile örtüştüğü görülür. Bizans sanatının farklı dönemlerine tarihlenen metal, fildişi, mozaik, dokuma, elyazma resmi ya da fresko gibi farklı ürün gruplarına ait örneklere yansıyan tasvirler figürün kavramsal boyutlarını yansıtır. Ancak Aşk Tanrısı Cupid -ya da diğer isimleriyle Eros veya Amor- Helenistik ve Roma sanatında hiç kör temsil edilmemesine karşın, Bizans Sanatında sıra dışı bir körlük örneği gösterir. Bu araştırma yazısı, çok-tanrılı geçmişin hatırasını taşıyan bir figürün ağır başlı Bizans kültür ortamında, dinin tüm ağırlığına rağmen anlamını devam ettirmesi sürecinde üstlendiği kavramlar uyarınca ortaya konan sanatsal temsillerinin ikonografisi üzerine bir çalışmadır.

Fortified milk-beverage with amphora algae and its functionality for aflatoxin inactivation in rats

Aflatoxins are considered a severe hazard, contaminate dietary products, and cause malignant alterations in liver tissues. Fermented milk (FM) is prepared using probiotic lactic acid strains. This investigation aimed to produce an integrated milk beverage, inactivating aflatoxins toxicity and biotransformation. The proximate analysis of the investigated materials and biochemical parameter changes of the in-vivo experiment were determined. Results reflected the extract’s valuable content of polysaccharides and antioxidants. Nine phenolics were identified predominantly with catechin (39.67 ± 1.5 µg/g). FM-fortification is reflected by enhancement in protein (49.5 ± 2.97 g/Kg) and fiber content (1.78 ± 0.54 g/Kg) compared to the FM content. Relative rats’ weight gain improved to 34.29% for the fortified-FM group close to the control; it was recorded at 16.47% for the AFM1 group. Alkaline phosphatase in AFM1 rats was 99.2 ± 1.86 U/L and decreased to 44.2 ± 0.71 U/L in the fortified-FM group (44.2 ± 0.71 U/L) to be close to the control group. Aflatoxin M1 rats exposure reflects tissue alterations and cell damage, which recorded lesser in rats treated by extract and beverage administrations. The beverage’s corrective action relied on two integrated mechanisms, aflatoxin-binding to bacterial and bioactivity interaction of extract substances. This beverage stopped tissue alterations that occurred due to aflatoxins. The result supports the future production of fortified-milk beverages as a bio-shield against aflatoxin toxicity, besides their nutritional and functional properties.

Is Consistency Possible? Course Design and Delivery to Meet Faculty and Student Needs

As online learning continues to rise, students find educational value in consistency of instruction and technological support. With the significant increase in faculty designing courses, success lies with faculty education in instructional design. Additionally, students need support to navigate through the LMS and course elements to achieve success and increase their knowledge level. Determining the needs of nursing students and faculty is essential to the process of developing an effective course design for students leading to valuable content delivery and achievement of student outcomes. The purposes of this study were: (1) to measure attitudes toward online course design, (2) to compare online course delivery with instructor involvement, and (3) to determine changes to online courses. A significant finding is consistency within the LMS in course design and increased use of technology in content delivery.

DIGITAL MARKETING STRATEGY THROUGH SOCIAL MEDIA IN INCREASING THE SALES OF THE FLOWER BUCKET BUSINESS IN SERANG

A marketing Strategy is a series of integrated actions towards a sustainable competitive advantage. Meanwhile, marketing strategies and tips from the seller's point of view (4P) are a strategic place (place), quality product (product), competitive price (price) and vigorous promotion (promotion). Total customer satisfaction is the ultimate goal and marketing strategy concept (Total Customer Statistics). Flower bouquet marketing strategy by utilizing social media the study aims to find out how the marketing strategy for a digital flower bouquet business through social media is to increase sales and what are the obstacles and challenges to marketing flower bouquets by utilizing social media. The research method used is qualitative, The results of the study explain that increasing the sales results of flower bouquet entrepreneurs in Serang City with social media marketing strategy steps for small-scale businesses using WhatsApp, Instagram and Facebook, namely: social media marketing strategies by building credibility, attracting potential customers, building relationships on social media, sharing content, create valuable content, use good and interesting images, crowdsource interesting and authentic content, participate in online groups and communities, use social media as a space to have interesting conversations and limit social media platforms

The Efficiency of Mechanized Mineral Processing Techniques to Recover Tin and Tantalum Ores. Case Study: Nyamatete Concession, Rwanda

Mining activities have resulted in a large volume of tailings containing a certain proportion of lost minerals, making them a potential reprocessing opportunity, and information on tailings and mineral reprocessing is often scarce. In this study, a conceptual framework was established and used to produce meaningful information and knowledge from the tailings of the Nyamatete mine at HABATU Mining Company Limited (an ASM in Rwanda). Tailings particles were investigated based on the observed lithology to determine their distribution over the tailing dams, and a site-specific sampling approach and procedure were established. Sieving the collected samples, particle size analysis, and chemical analysis using XRF were chosen as methods for tailings characterization. Raw materials such as SnO2, minor Ta2O5, and Nb2O5 and elements of environmental importance such as Mn, Co, and as were observed but in small quantities are largely predominant in quartz vein, have been discovered in Nyamatete tailings. The comminution and gravity separation by mechanical reprocessing facilities improved Cassiterite recovery by 43.9 % compared to the artisanal processing method. SnO2 recovery of 19.4 % and 29.9 % with grades of 63.224 % and 76.6 % were obtained in pegmatite and quartz tailings respectively. According to a scoping study, the Habatu tailings have an appropriate grade, the valuable content occurs in a recoverable grain-size range, and the total ore amount scales with the required input for the reprocessing equipment. Tailings reprocessing with mechanized reprocessing equipment is advantageous because it improves efficiency while also treating the material with previously unknown quantities of ore, thereby significantly increasing the total recovery of processed Run of Mine. Keywords: Artisanal processing; Cassiterite; Coltan; Mechanized processing; Tailings.

Building Stronger Brand Evangelism for Sustainable Marketing through Micro-Influencer-Generated Content on Instagram in the Fashion Industry

Micro-influencers have become powerful sources of information for consumers in the digital age. Marketers have strategically collaborated with micro-influencers as brand endorsers to generate valuable content, which attract the consumers and encourage them to engage with micro-influencers, leading to brand evangelism. This reflects the sustainable consumer-brand relationships. In Southeast Asia, Instagram stands out as the preferred choice for fashion influencers for sharing product information and boosting consumer engagement. The current study is the first one incorporating literature-based frameworks, consisting of consumer-based digital content marketing, information relevance theory, observational learning theory, consumer-influencer engagement behavior, and brand evangelism, into a unified framework to deal with the research gaps. The quantitative method was applied through using partial least square structural equation modeling (PLS-SEM). The SmartPLS v. 3.3.9 software application was applied to explore the proposed model. The data were acquired from 499 Thai consumers who have followed and engaged the content with fashion micro-influencers on Instagram. The results revealed that the positive effect of topicality of content is the strongest antecedent that motivates consumer-influencer engagement, while novelty, understandability, reliability, interestingness, and influencers’ authenticity of content also have a positive influence on consumer-influencer engagement. Finally, the findings showed that consumer-influencer engagement have vital effects on brand evangelism.

VALUE ORIENTATION IN AUDIO-VISUAL CONTENT AS A TOOL OF NATIONAL IDENTITY DEVELOPMENT

The article is devoted to the development of the national cultural identity by means of molding and sharing the content, which contains the value orientations to enhance understanding by different social groups, namely the youth, their affiliation to a certain ethnical group with its specific mentality, moral norms, ethical principles and public position. In this paper, we applied Source Studies method, analysis of scientific literature, sociological and statistical studies as well as systematization practical experience of molding valuable content in interactive media. The paper explores approaches to understanding and classifying values as such, as well as possibilities of incorporating them in the content of the most popular forms, to be shared through the most relevant channels with active audience. Consequently, it is suggested to consider valuable content as a method of molding media culture, simultaneously taking into account both the internal and external factors of globalization processes, that also affect not only the formation of media culture but also the dynamics of socio-cultural changes and national landmarks. As well, we attract attention to inherent nature of audio-visual content, which through moving and sound images not only reaches considerable audience but also molds valuable principles to serve in favor of the development of identity of a certain society. Evidently, one of the information broadcasting tools full of value orientations is social networks, particularly, TikTok, which for the continuous growth of its audience is acknowledged both by statistics and perspective young audience, that is advisable to be influenced softly and with suggestive strengthening values of Ukrainianness.

Do you love me? The relationship between sport-related branded entertainment and brand love

Brand love, the most intense relationship between a consumer and a brand, drives valuable outcomes like increased brand loyalty. Sport-related branded entertainment (SRBE) represents a content marketing opportunity to build on brand love and provides a research gap. This research investigates the impact of sport-related branded entertainment on brand love using a mixed-method approach, including a quantitative survey (n = 372) conducted in Austria, followed by a focus group discussion. A structural equation model revealed a positive impact of SRBE on brand love. Furthermore, brand love is positively associated with brand loyalty, spreading positive word-of-mouth, and the willingness to pay a higher price. Results show that it is most effective in the younger, male, and sporty consumers. Finally, the qualitative focus group discussion revealed deeper insights into consumer motivations. SRBE is a valuable content marketing instrument for brand love. Results revealed that it is most effective in the younger, male, and sporty consumers. The impact of SRBE on brand love has been examined for the first time.

Review: Studying Lived Religion: Contexts and Practices, by Nancy Tatom Ammerman

Studying Lived Religion is a much-needed addition to both religious studies research and the classroom. Clearly written and tightly organized, it is accessible and eminently referenceable, offering a variety of methodologies, historical contexts, and examples. Ammerman’s inclusive and synthetic thought touches and builds on many of the major players in the field while also foregrounding minority points of view and innovative current literature. At the same time, her sustained focus and organizational schema of the six dimensions of lived religion—“how religion happens in everyday life”—indeed offers a “foundation [that] will allow lived religion research to live up to the global scope of our work and…allow social scientists and other scholars and citizens to rediscover and better understand the religious phenomena we encounter all around us” (5, 8).Part One gives the thousand-foot view of what people do (practice) and the contexts lived religion appears in. Beginning with a concept of practice as “a cluster of actions that is socially recognizable in ways that allow others to know how to respond” (15), Ammerman then argues that is through practice that religious identities are forged (19). She then tackles the relationship between religious social practice and spirituality, claiming that the former has a spiritual dimension inherent in it, “[t]hat is, it incorporates—either directly or indirectly—the presence of a reality beyond the ordinary” (20). As for the supposed conflict between the two, she writes, “[W]e will gain greater insight by studying both individual subjective experiences and socially enacted patterns” (22). The first chapter then ends with an introduction to the multidimensional approach to studying lived religious practice which structures the rest of the text. These dimensions include embodiment, materiality, emotion, aesthetics, morality, and narrative. The aforementioned spiritual dimension is what makes religious practice distinct from other social practices.Chapter 2 looks for where religious practices occur, mostly at the macro level. Here Ammerman identifies a range of religious social contexts: entangled, established, institutional, interstitial, and postcolonial (a hybrid of entangled and established). These “identify differences in typical expectations for the fields within which religious practices will be found and the modes of regulation that will constrain (or encourage) religious action” (31). Together with the seven dimensions of religious practice, these ideal types aid in the generative and analytic task of systematically and dynamically examining lived religion, wherever in the world one may be working.Part Two is divided into seven chapters that go through each of the dimensions. Chapter 3 focuses on the spiritual dimensions. Ammerman demonstrates through multiple examples what it might look like to run a case study through the contextual grid offered in chapter 2. Here and throughout the book, there are helpful case studies set off in gray boxes that are blended into that chapter’s particular discussion. While delineating and outlining the literature on “spirituality,” Ammerman offers a kind of updated compendium—something she repeats for each dimension, suggestively gesturing rather than exhaustively re-presenting. Chapters 4 and 5 examine embodied religious practice and materiality. Chapters 6 and 7 explore emotions and aesthetics, while 8 and 9 look at morality and narratives, respectively. The chapters on aesthetics and narratives are particularly interesting. For the former, simply giving language and conceptualizations is helpful. The inclusion of narratives, too, as crucial to the study of lived religion offers several points of entry for the researcher.Ammerman concludes her work with scholarly gold, that is, a curated and annotated bibliography. In addition to the Ideas for Further Study endnotes that conclude each chapter, the close of the text reads almost like a how-to handbook on doing research on lived religion. This reviewer notes, however, that neither Rodney Stark nor William Sims Bainbridge—key sociologists of religion—is mentioned anywhere in the text. Given their status in the field, it would have been appropriate to interact with them in some way, even if to warn up-and-coming graduate students that their theories have fallen into disfavor.Therefore, given its theoretical purchase, didactic approach, and valuable content, Studying Lived Religion would be an asset as a textbook for junior and senior undergraduates, graduates, and scholars in religious studies. It is one of those texts one wishes they could have had when writing a proposal.

An automated, modular system for organic waste utilization using Hermetia illucens larvae: Design, sustainability, and economics

Large amounts of food are wasted, and valuable contents are not utilized completely. Processing such wastes into biomass of defined composition is possible using insects. However, automation and decentralization of insect-based processes are necessary for certain applications. This study presents a modular design for rearing larvae of the black soldier fly, Hermetia illucens. A life cycle and economic assessment are carried out to check whether the process may be viable. A sales price of 3.55 € per kg of the product would make it profitable within five years. Production of 1 kg of dried larvae would be associated with 2.77 kg CO2 eq emitted, 55.24 MJ of non-renewable energy use, and occupation of 0.68 m2 of organic arable land. Per kg protein, the insect biomass appears more sustainable than database benchmarks. These results indicate that even small-scale insect production processes have sustainability benefits when using food waste.

Analysis on the Particularity of Higher Education Subject Development under the Background of Artificial Intelligence

Subject development plays a crucial role in higher education (HE), improving student academic performance. The HE continuously requires conceptual and empirical development to deliver valuable content to the students. The subject reforms offer quality, accessibility, affordability, accountability, and equity to accomplish continual learning. The changes in higher education subjects require a continuous assessment to understand the relationship between the reform and student performance. The subject development quality is evaluated using machine learning (ML) and artificial intelligence (AI) techniques. The existing researchers use intelligent techniques to identify student academic performance. However, the exact relationship between student performance and subject changes fails to address. Therefore, higher education learning (HEL) requires improvement to manage the Higher Education Subject Development (HESD). To achieve the research goal, AdaBoost Adaptive-Bidirectional Associative Memory (AA-BAM) network is introduced in this work. The network model uses the Hebbian supervised learning (HSL) process to create the training model. The learning process has a network parameter updating procedure that reduces the total error and deviation between the academic details. In addition, the neural model uses the memory cell that stores every processing information that recalls the output patterns with maximum accuracy. The output pattern identifies the student’s academic performance, which helps to analyze the quality of the subject development in institutions. The created system ensures 98.78% accuracy, showing that subject development correlates highly with student academic performance.

Research on the Application of international Relations Network based on Text Mining

In the innovation and development of communication systems and information technology, information exchange and dissemination in various fields are becoming more and more convenient, which not only expands the depth of communication on a global scale, but also connects countries in the world closely together, forming a huge and complex network of international relations. In this context, researchers hope to analyze the network structure through the network method, clarify the influence of different relations on the international situation and the composition of hotspot events, and explore the development law of relations between different countries, so as to provide an effective basis for the construction and development of economic globalization. Therefore, based on the understanding of international relations in recent years, the network application research status quo, on the basis of using text mining methods to study international relations, fast in a complicated information system to obtain valuable content, finally in the large text to build international relations network, expand the practice research of data source, solve the problem of network information explosion. The final results show that the application of international relations network based on text mining has achieved good results.

Research on the Application of international Relations Network based on Text Mining

In the innovation and development of communication systems and information technology, information exchange and dissemination in various fields are becoming more and more convenient, which not only expands the depth of communication on a global scale, but also connects countries in the world closely together, forming a huge and complex network of international relations. In this context, researchers hope to analyze the network structure through the network method, clarify the influence of different relations on the international situation and the composition of hotspot events, and explore the development law of relations between different countries, so as to provide an effective basis for the construction and development of economic globalization. Therefore, based on the understanding of international relations in recent years, the network application research status quo, on the basis of using text mining methods to study international relations, fast in a complicated information system to obtain valuable content, finally in the large text to build international relations network, expand the practice research of data source, solve the problem of network information explosion. The final results show that the application of international relations network based on text mining has achieved good results.

New Impact Factor and Rankings for IEEE Vehicular Technology Magazine [From the Editor

The “Journal Citation Reports” for 2021 have been released, and I am pleased to inform you that the impact factor of <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IEEE Vehicular Technology Magazine</i> ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">VTM</i> ) has increased to 13.609 (from 10.384 in 2020). This is an amazing achievement that ranks <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">VTM</i> in second place in telecommunications (out of 94 journals), second place in transportation science and technology (out of 40 journals), and seventh place in electrical and electronic engineering (out of 276 journals). This is in addition to the earlier publication of CiteScore, by Elsevier, which ranks <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">VTM</i> in first place in automotive engineering (CiteScore ranks <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">VTM</i> only in this category). I would like to sincerely thank my editorial team for its hard work and dedication to ensure the highest standards possible. My sincere gratitude also goes to our reviewers, who commit their precious time to carefully evaluate the increasing number of submissions to <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">VTM</i> . And, of course, thank you very much to all the authors who trust <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">VTM</i> to publish their latest achievements. We will continue our efforts to provide you, our members and readers, with the most valuable content possible.

MDFN: Mask deep fusion network for visible and infrared image fusion without reference ground-truth

A single infrared image or visible image cannot clearly present texture details and infrared information of the scene in poor illumination, bad weather, or other complex conditions. Thus, it is necessary to fuse the infrared and visible images into one image. In this paper, we propose a novel deep fusion architecture for fusing visible and infrared images without any reference ground-truth. Different from existing deep image fusion methods which directly output the fused images, a weight score corresponding to each pixel is estimated by our network to determine the contributions of two source images. This strategy transfers the valuable information in source images to the fused image. Considering the salient thermal radiation information in the infrared image, a mask of the infrared image is generated and used to preserve valuable contents in the infrared and visible images for the fused image. Furthermore, a hybrid loss is designed to make the fused image consistent with two source images. On account of the weight estimation, the mask strategy, and the hybrid loss, the images fused by our proposed method jointly maintain the thermal radiation and texture details, achieving state-of-the-art performance compared with existing fusion approaches. Our code is publicly available at https://github.com/NlCxg/MDFN.

Ontologi, Epistimologi, dan Aksiologi dalam Perspektif Filsafat Ilmu Dakwah di Era Komunikasi Digital

Ontology, Epistemology, and Axiology in the Philosophical Perspective of Da'wah in the Age of Digital Communication. The development of the era of globalization is forcing people to be technology literate. Coupled with the Covid-19 pandemic, forcing people to carry out digital communication for daily needs, including spiritual needs. This is what underlies the da'i to be able to transform da'wah into the digital realm. But before that, it is necessary for the da'i to explore the philosophy of da'wah in order to create valuable content in communicating in the digital realm. This paper aims to find out more deeply about ontology epistemology and axiology in order to better know the benefits of da'wah. This paper uses a qualitative approach with a literature study method (library review), namely the technique of collecting writings, readings and other literature, both physical and digital specifically, and then analyzing the content of the study based on the focus of the problems discussed. The results showed 1) ontology in the form of the essence of the existence of da'wah in communication between da'i and mad'u. 2) epistemology in Islamic da'wah, namely bayani epistemology, in the form of sources used in preaching on social media, irfani epistemology, in the form of intuition from da'i and burhani epistemology, in the form of intellectual activity. 3) In understanding axiology, the preacher must first master his knowledge. While mad'u must be selective in choosing their da'i, Da'i and mad'u both must realize that digital users are very diverse. When the da'i does da'wah, he must be ready to face all kinds of mad'u. for that it is necessary to create a dialogue space in digital.

Matching and Scheduling of Student-Company-Talks for a University IT-Speed Dating Event

In this paper, the IT-speed dating of a German university is considered, where students have talks with different companies in order to find a suitable internship. The goal is to create a good and fair matching of students and companies for these talks, based on student preferences, and to schedule the resulting talks in order to maintain the given time horizon and minimize the necessary room changes for the students. We solved the problem in two steps. First, we modeled the matching problem as an extended version of the capacitated transportation problem and solved it using a modified stepping stone method. Second, we present two approaches to solve the scheduling problem. A Monte Carlo tree search procedure generates time-constrained schedules with minimal duration, while a genetic algorithm generates longer schedules with individual pauses and fewer room changes. The approaches led to significantly more talks with valuable content, a shorter duration, and greater satisfaction of all participants.