Miracle-dz/UniFAR-FTUs huggingface dataset:
Content Marketing: Why Do Firms Handicap Themselves with Brand-Neutral in a Competitive Environment?

To attract prospective consumers, brands are embracing a content marketing strategy – playing the role of content publishers by producing brand-neutral content without promoting brand information. Despite the fact that brand-neutral content generates web traffic, it is unclear why and to what extent symmetric firms should adopt this type of handicapping content marketing strategy in a competitive environment even if they can enhance brand-level matching by including brand-specific information. To answer the question, we develop a game-theoretical model that captures one strategic role of brand-neutral content in facilitating search prominence while suppressing one dimension of information. Our results suggest that firms opting for content marketing as a dominant strategy when content marketing can serve as “dual commitment” device: The prominent content marketer can induce its competitor’s commitment problem of exploiting the searching consumer, preventing the consumer to search further. Meanwhile, the content marketer can alleviate its own commitment problem since it makes consumer search incomplete by handicapping itself and the presence of an inactive competitor credibly prevents itself from exploiting the consumer. Consequently, the content marketer who refrains from touting brand information counterintuitively capture the consumer with certainty. Then both firms opt for content marketing as a dominant strategy. We extend the analysis to the cases of price commitment, asymmetric firms, third-party information source, and general distributions and investigate the conditions for when and which firm should opt for or prioritize brand-neutral content marketing.
Cultural Literacy as Conflict Mitigation of Sampit Dayak and Madurese Muslims in Tanah Mas Sampit Indonesia

Tanah Mas is one of the areas in Sampit that the Sampit Dayak and Madurese Muslim communities inhabit. They live side by side, peacefully exchanging culture and language. This area's uniqueness needs to be explored further so that it can become a good practice for mitigating conflicts that often occur in Indonesia. This study explores the cultural values developed, the processes of exchange and cultural literacy, and the cultural literacy methods used in Tanah Mas. The research was conducted using qualitative methods with an ethnographic approach. The research was conducted for two months. The research locus was Tanah Mas Village, Baamang Sampit District. The study results show that cultural literacy is carried out in the family, community, and leaders. Parents provide examples and advice in the family to live well together and get along with anyone regardless of ethnicity. Community leaders provide examples and advice to respect each other, help each other, and cooperate reasonably with each other. Social literacy is performed by performing arts conveying messages of peace and moral teachings. In addition, the community mingles and cooperates in various activities. Information exchange is carried out through daily activities such as community interaction, traditional events such as weddings, religious events such as the Prophet's birthday or isra' mi'rāj , and artistic activities such as art performances.
IMPLEMENTATION OF RESTORATIVE JUSTICE, THE INTENT OF PUNISHMENT, AND LEGAL CLARITY IN INDONESIA

This study looks at the fairness of restorative justice, the goal of punishment, and the need of legal certainty. According to the study's findings, restorative justice is still only being applied theoretically. In this instance, it emphasizes that the formalistic, long-established ideas of justice that have arisen in society and are applied in Indonesian customary law assemblies serve as the foundation for the genuine aim of sentencing. In contrast, the notions of individual deterrence and general deterrence call for actions to be absolute in order to produce a deterrent impact. Afterward, the idea of reform or rehabilitation was further developed. The use of restorative justice emphasizes the recovery of victims' material losses as a result of the perpetrators' unlawful acts, both physically and psychologically. This is done through a consensus-building process involving the perpetrator, the victim, the perpetrator's family, and the victim's family, as well as, if necessary, the community and the appropriate authorities. With relation to legal norms and values, this research methodology is normative juridical along with theories, legal doctrine, jurisprudence, applicable rules and regulations, as well as publications pertinent to the research topic. According to the study's findings, restorative justice is a noble form of justice when instances of illegal behavior have happened. Therefore, repair or restoration is crucial if the victim is to be rehabilitated or healed from the suffering he has endured on a material, physical, or psychic level. To be clear, restorative justice does not apply to all crimes; rather, it only does so in circumstances involving crimes against children, minor offenses, women in conflict with the law, and drug-related offenses. In order to provide clarity, there should be a firmness if the offender does not want to make restitution even though it is deemed capable of doing so in terms of material capabilities. There also needs to be concrete sanctions so that restorative justice is not only limited to other options; the legal framework for it should be expanded to the Constitution.
Direct object detection from field-of-view multiplexed measurements

Abstract. A compressive imaging model is proposed that multiplexes segments of the field of view (FOV) onto an infrared focal plane array (FPA). Similar to compound imaging, our model is based on combining pixels from a surface comprising of the different parts of the FOV. We formalize this superposition of pixels in a global multiplexing process reducing the number of detectors required for the FPA. We present an analysis of the signal-to-noise ratio for the full rank and compressive collection paradigms for a target detection and tracking scenario. We then apply automated target detection algorithms directly on the measurement sequence for this multiplexing model. We extend the target training and detection processes for the application directly on the encoded measurements. Optimal measurement codes for this application may imply abandoning the ability to reconstruct the actual scene in favor of reconstructing the locations of interesting objects. We present a simulated case study as well as real data results from a visible FOV multiplexing camera.
Correlation of renal function biomarkers in the first diagnostic approach to canine chronic kidney disease

Objective. To determine the correlation of kidney function biomarkers at the first evaluation in dogs with different risk factors identified for developing chronic kidney disease (CKD). Materials and methods. A descriptive, prospective study of cases and controls of 388 animals, divided into five groups: control group (CG), and four groups of potentially kidney-diseased dogs (pCKD) was carried out. Clinical history, physical examination, body condition score (BCS), complete blood count, biochemical profile with symmetrical dimethylarginine ( SDMA), urinalysis, urine protein/creatinine ratio (UPC), and systemic blood pressure were analyzed. Non-parametric statistics were used, and data were expressed as medians and percentiles; for BCS, Xi 2 was used. For biomarkers, Spearman’s correlation was performed. Results. For SDMA and serum creatinine (sCr), a moderate correlation was observed for pCKD (r=0.69, p<0.001). Significant differences were observed in the variables age (p=0.002) and BCS (p<0.001) between the CG and the pCKD. Animals with mild azotemia (sCr 125–250 m mol/L) and/or with an SDMA value of 18–35 m g/dL, with or without proteinuria, had a greater probability of presenting an increase in SDMA when the BCS was below 5/9 (OR=3.55, p=0.005). Conclusions. SDMA is a useful complementary biomarker in pre-azotemic stages and advanced stages where there is cachexia and sarcopenia. Biomarkers must be evaluated together to have a complete perspective of renal function in animals with risk factors for developing CKD.
A Critical Review: Revisiting Phishing Attacks Classification and Analysis of Techniques Employed in Taxonomies

— People are increasingly sharing their personal information online as internet usage grows. As a result, fraudsters have access to a massive amount of personal information and financial activities. In recent years, phishing assaults have become one of the most common threats faced by internet users, governments, and service providers. The attacker(s) uses falsified emails or bogus web-sites to obtain the client's sensitive data (i.e., user account login details, credit/debit card numbers, etc.) in a phishing assault. Studies have classed phishing attacks based on fundamental phishing mechanisms and defenses, ignoring the importance of the phishing lifecycle from beginning to conclusion. This study also provides a new thorough taxonomy of phishing assaults, including attack phases, attacker types, vulnerabilities, threats, targets, attack media, and attacking strategies. Furthermore, the proposed anatomy will help readers comprehend the full lifecycle of a phishing attack, which will raise awareness of these phishing attacks and the strategies utilized; it will also aid in the development of a comprehensive anti-phishing system. In addition, various preventative precautions are being investigated.
The Mediating Possibilities of Art: A Case Study on Artistic Experience and Theatre Participation of People with Visual Impairment

This article draws on the experience of implementing a project of inclusion through art — A Meu Ver (In My View) — by a professional artistic structure in theatre in the city of Coimbra: O Teatrão. It is a three-year theatre training and practice project for people with blindness or low vision, funded by the Calouste Gulbenkian Foundation and La Caixa Foundation under the Partis & Art for Change programme. The project combines training and intervention in the cultural space of Coimbra. The aim was to analyse and rethink the possible roles of artistic education in cultural mediation, as an intervention model, between the entity O Teatrão and a group of disabled people, traditionally out of the artistic circuits. This research privileged a qualitative approach, conducting a case study of exploratory nature, which took place between October 2021 and August 2022. The data reported here were collected through four data collection techniques: participant observation, questionnaire survey, semi-structured interviews and focus group. By demonstrat-ing the importance of the artistic creation experience in recomposing disabled people’s identities, the project stimulates the deconstruction of disability conceptions based on the individual model and promotes a social concept of disability. In bringing together visually impaired people and Teatrão professionals, A Meu Ver demonstrates that the problems of disabled people do not derive from their impairments but from the dominant forms of social organisation and culture. This deconstruction made it possible to analyse the individual impacts of the project for its direct participants and to highlight possible cultural mediation formats for developing projects with this approach in the cultural sector.
Weighted Iterative Operator-Splitting Methods for stiff problems and applications

In this paper we describe advanced operator-splitting methods for more accurate and exact decoupling of stiff systems. We deal with 2 stiff operators and contribute for both stiff operators a new weighted iterative operator-splitting method, decribed in [3]. Based on the stabilisation theory for stiff systems, given in [? ] and [9], we developed our weighting method. The idea behind is a combination of first order and higher order operator splitting methods. We discuss our methods in welknown test-problems for systems of ordinary-differential equations and compare with the exact solutions of the sytsems. Finally we present an application to a convection-reaction equation with stiff reaction-term. We end with a discuss for modifing our methods for multi-dimensional and multi-physical problems.
Modeling of quantum cascade lasers by ensemble Monte-Carlo methods

A theoretical investigation of quantum cascade lasers (QCLs) is performed in the framework of the ensemble Monte-Carlo (EMC) method. The simulation tool is extended for the analysis of specific experimental QCL designs. For example, it is adapted to the InGaAs material system, and alloy scattering is implemented. The processes limiting the temperature performance of state of the art THz QCLs are identified, and design optimizations are carried out systematically. Furthermore, the influence of stimulated photon processes on the electron transport in high efficiency mid-infrared QCLs is analyzed. EMC is validated by comparison to the fully quantum mechanical non-equilibrium Green’s functions method. Quantum corrections are implemented into EMC, leading to improved results.
Development of a Machine Learning based model for early screening for oral cancer

ARTICLE INFORMATION Oral Squamous Cell Carcinoma (OSCC) is the most frequent type of oral cancer, accounting for about 40% of malignant head and neck lesions. It´s known that the favorable prognosis is associated with early diagnosis, since the survival rate increases as a function of the diagnosis in the early stages of the disease. Thus, the objective of this work was to implement and train a Machine Learning model that can help in the diagnosis of oral cancer. Through technologies such as artificial intelligence (AI) that can use images in their analyses, it´s sought to improve the prognosis of oral cancer through its early detection. Using the branch of AI, Machine Learning and its subgroup Deep Learning, it becomes possible through Convolutional Neural Network (CNN) to perform an image screening of malignant and premalignant lesions, in order to identify the presence or not of oral cancer. The RNC structure is based on the MobileNet structure, which separates the images into fragments and after training, showed the identification of cancer in 91% of the images examined and of Leukoplakia in 84% of the analyzed images.
Fault tolerance of a quadrotor via feedback linearization approach

A control algorithm is proposed to efficiently control the state, position, and height of a nonlinear dynamic model of a quadcopter. Based on feedback linearization, a state space model is presented for the system with the controller with a two-loop control structure designed and implemented in it. The inner and faster controller is responsible for adjusting the quadcopter height and angles, and the outer and slower controller is responsible for changing the desired figures of roll and pitch angles to control the system position. Whenever a rotor of the quadcopter rotor fails, the status and position of the system are converged and the system is stabilized. Simulation results based on different scenarios indicate the proper performance of the control system whenever there are external disturbances. Note that the gyroscopic effects because of the propeller rotation were not considered.
Temporal and Spatial Biological Variability in Monterey Bay from AUV eDNA Samples

Since 2006, environmental DNA (eDNA) samples have been regularly collected in the Monterey Bay National Marine Sanctuary (NBNMS) for the purpose of monitoring biological communities. While these samples are useful to study how biological communities in Monterey Bay change over time, they cannot adequately describe the spatial variation present in these communities. As an alternative, Autonomous Underwater Vehicles (AUVs) have collected eDNA samples within the Monterey Bay since 2016. These samples are distributed along a wide spatial range within the bay, so these samples are ideal for describing biological variation across both space and time. Using 181 samples collected across a five-year period, this project shows that eDNA samples collected by AUVs can be effectively used to describe both spatial and temporal variation from the same set of samples. Based on the findings of this project, it is recommended that autonomous eDNA sample collection be continued into the future, so that a wider time frame can be studied.
A Comparative Analysis of Research Trends in the Information and Communication Technology Field of South and North Korea Using Data Mining

The purpose of this study is to compare research trends in the information and communication technology (ICT) field between North and South Korea and analyze the differences by using data mining. Frequency analysis, clustering, and network analysis were performed using keywords from seven South Korean and two North Korean ICT academic journals published for five years (2015-2019). In the case of South Korea (S. Korea), the frequency of research on image processing and wireless communication was high at 16.7% and 16.3%, respectively. North Korea (N. Korea) had a high frequency of research, in the order of 18.2% for image processing, 16.9% for computer/Internet applications/security, and 16.4% for industrial technology. N. Korea’s natural language processing (NLP) sector was 11.9%, far higher than S. Korea’s 0.7 percent. Student education is a unique subject that is not clustered in S. Korea. In order to promote exchanges between the two Koreas in the ICT field, the following specific policies are proposed. Joint research will be easily possible in the image processing sector, with the highest research rate in both Koreas. Technical cooperation of medical images is required. If S. Korea’s high-quality image source is provided free of charge to N. Korea, research materials can be enriched. In the field of NLP, it calls for proposing exchanges such as holding a Korean language information conference, developing a Korean computer operating system. The field of student education encourages support for remote education contents and management know-how, as well as joint research on student remote evaluation.
Anisotropic CeCo5 based permanent magnetic nanoflakes with high coercivity

ABSTRACT Magnetic anisotropic CeCo5 nanoflakes with nominated compositions of CeCo4.5Cu0. 5Fe0.5 were prepared by surfactant assistant high-energy ball milling (SA-HEBM) with oleic acid as the surfactant and heptanes as the solvent. The crystal structure, morphology, and magnetic properties of these CeCo5 nanoflakes, were examined with scanning electronic microscopy (SEM), X-ray diffraction (XRD), and vibrating sample magnetometer (VSM), respectively. The infrared absorption spectroscopy (FT-IR) was used to study the evolution of surface structure of oleic acid coated CeCo5 nanoflakes. Results show that CeCo5 nanoflakes have an average thickness of tens of nanometers, an average particle size of ∼3 μm, a relatively large aspect ratio, high room temperature (RT) coercivity of 5.4 kOe, and significant geometrical and magnetic anisotropy. The oleic acid surfactant in the SA-HEBM process plays an important role in the formation and development process of the obvious magnetic anisotropy of CeCo5 nanoflakes.
Polyphenolic-rich extracts from Ilex paraguariensis and Larrea divaricata leaves and their antioxidant and antiCOVID-19 potential

Yerba mate ( Ilex paraguariensis A.St. Hil) and jarilla ( Larrea divaricata Cav.) leaves are commonly used as tea infusions in some Latin American countries. This study was con-ducted to evaluate the antioxidant activity (FRAP, ABTS, and DPPH) and the inhibitory potential of yerba mate and jarilla extracts on the 3CL protease (Mpro) from coronavirus SARS-COV-2 by a molecular docking approach. The main bioactive compounds present in the plant extracts were identified by HPLC-MS. According to the results, the extracts of yerba mate and jarilla showed high antioxidant activity in DPPH (> 91 %), ABTS (> 90 %), and FRAP (> 47 mg TE/g) assays. Additionally, the phenolic compounds present in yerba mate, quercetin-3- O -rutinoside (rutin) (-9.60 kcal/mol) and 3,4-dicaffeoylquinic acid (- 8.20 kcal/mol) were more effective on Mpro than the antiviral drugs remdesivir and ribavirin. The compounds rutin and 3,4-dicaffeoylquinic acid have a high affinity and interaction with one of the catalytic residues Cys145 of Mpro. The glycosylation of phenolic compounds affects biological activities: positively anti-COVID-19 and negatively antioxidant. The results suggest that extracts of yerba mate and jarilla leaves could enhance the body’s antioxidant defenses and can be used to improve health.
MORPHOLOGICAL AND MOLECULAR CHARACTRIZATION OF ENDOPHYTIC FUNGI ISOLATED FROM ANDROGRAPHIS PANICULATA (BURM. F.) WALL. EX NEES AND CENTELLA ASIATICA (L.) URBAN

Fungal endophytes were isolated from the leaves, stems and roots of two widely used medicinal plants viz., Andrographis paniculata (Burm. f.) Wall. ex Nees and Centella asiatica (L.) Urban . A total of 28 endophytic fungi were identified based on morphological and molecular analyses. The identified fungi were: Aspergillus flavus Link, A. fumigatus Fresen. , A. niger Tiegh. , A. terreus Thom, Cladosporium sp. , Colletotrichum sp. , Curvularia chonburiensis (ibpromma & K.D. Hyde, C. hominis Da Cunha, Madrid, Gené & Cano, C. lunata (Wakker) Boedijn, C. lycopersici Tandon & Kakkar, Curvularia sp. , Fusarium falciforme (Carrión) Summerb. & Schroers, F. phaseoli (Burkh.) T. Aoki & Donnell, F. solani (Mart.) Appel & Wollenw, F. udum (Berk.) Wollenw, Fusarium sp. , Lasiodiplodia theobromae (Pat.) Gri. & Maubl. , Monodictys paradoxa (Corda) Hug. , M. putredinis (Wallr.) Hug. , Penicillium commune Thom, P. chrysogenum Thom, P. oxalicum Currie & Thom, Penicillium sp. 1, Penicillium sp. 2, Penicillium sp. 3, Penicillium sp. 4, Scytalidium lignicola Pesante and Talaromyces trachyspermus (Shear) Stolk & Samson . Among them Aspergillus flavus, A. niger, A. terreus, Cladosporium sp. , Colletotrichum sp. and Penicillium sp. 1 were isolated from both the plants. Curvularia chonburiensis , C. hominis, C. lycopersici, Fusarium falciforme, F. phaseoli, Monodictys paradoxa, Penicillium commune and Scytalidium lignicola were found to be new records for Bangladesh. Findings of this study will be helpful for better understanding of endophytic fungal diversity and the species richness in those medicinal plants.
Risk factors for depression and anxiety in the patient with aortic valve stenosis Factores de riesgo para depresión y ansiedad en el paciente con estenosis valvular aórtica

: Anxiety disorders and depression are common along with negative effects in different areas of the patient such as lower quality of life, lower adherence to treatment, negative perception of oneself combined with comorbidities and mortality. However, these disorders are usually considered as symptoms and not as an independent factor that require greater detection, care and early treatment. The following cardiovascular diseases are among the leading causes of mortality and morbidity in the world in which a subgroup of valvopathies stand out which can occur in young patients (congenital alterations) and in elderly patients (called calcific or degenerative aortic valve stenosis) consisting of calcium crystal formation and lipid accumulation. These processes damage the valve generating aortic sclerosis characterized by thickening of the leaflets. Valvopathies are usually asymptomatic during the first years after their onset, and several modifiable and non-modifiable factors have been related to the progression of the disease. Psychological alterations can occur in these patients before, during and/or after discharge, generating mood disorders such as anxiety and depression, which have an unknown prevalence. This review discusses the importance of the symptoms to promote a timely diagnosis and to generate future interdisciplinary interventions that may improve the quality of life in patients with aortic valve stenosis