Miracle-dz/UniFAR-FTUs huggingface dataset:
Trend Penggunaan Media Iklan Luar Ruang di Masa Pandemi Covid-19

The COVID-19 pandemic has changed the lifestyles of many people around the world. Various sectors of the economy are affected by these lifestyle changes. The world of advertising is also one of those affected. Many companies readjust their budgets for marketing and advertising purposes. This also makes the use of outdoor advertising media less ogled by many companies due to the limited mobility of the people. This research is a qualitative descriptive study with a literature study method. The results showed that the world of advertising during the pandemic then had a new trend. Marketing on social media is one that is starting to be noticed because its use in society also continues to increase. In addition, the use of influencers is also one that is taken into account by companies. The content in advertising media has also changed, where many advertising content with emotional content is used to build an emotional connection between brands and their users. The use of outdoor advertising media then also adopted the concept of the advertising relationship. Many billboards are shown to raise awareness and appeal to the public. The future of outdoor advertising media is also starting to be seen because of the vaccine that has been spread and will allow people to return to outdoor activities.
Primary Hemiarthroplasty for the Treatment of Basicervical Femoral Neck Fractures

Purpose Basicervical femoral neck fractures are uncommon injuries that occur at the extracapsular base of the femoral neck at its transition with the intertrochanteric line. Controversy remains in the orthopedic literature as to the optimal method of treatment for this fracture type given the inherent instability and greater rate of implant failure with traditional fixation constructs. The purpose of this study is to quantify the incidence and preferred treatment methods of basicervical hip fractures at a single, regional, Level 1 trauma center and to identify differences in postoperative complications between treatment options. Methods The present study is a retrospective case series from a single regional health network, including 316 patients with hip fractures. Basicervical femoral neck fractures were identified. Reoperation rates within 90 days, implant failures or nonunions, postoperative ambulation distances and range of motion, and discharge dispositions were compared across patients grouped by surgical treatment with either cephalomedullary nail, sliding hip screw, or hemiarthroplasty (HA). Results Basicervical femoral neck fractures represented 6.6% of this study population. The cephalomedullary nail group demonstrated rates of implant failure and return to the operating room within 90 days of 40% (4/10) and 20% (2/10), respectively. No patients who underwent hemiarthroplasty experienced a failure of fixation or return to the operating room. Conclusions This study suggests a much lower rate of fixation failure or need for reoperation with hemiarthroplasty treatment compared to cephalomedullary nail construct for basicervical femoral neck fractures and may be an underutilized treatment method for this fracture type. The promising results seen with this case series should encourage further investigation into HA as a primary treatment for these uncommon, yet challenging, fractures.
Altered Blood and Brain Expression of Inflammation and Redox Genes in Alzheimer’s Disease, Common to APPV717I × TAUP301L Mice and Patients

Despite intensive research, the pathophysiology of Alzheimer’s disease (AD) is still not fully understood, and currently there are no effective treatments. Therefore, there is an unmet need for reliable biomarkers and animal models of AD to develop innovative therapeutic strategies addressing early pathologic events such as neuroinflammation and redox disturbances. The study aims to identify inflammatory and redox dysregulations in the context of AD-specific neuronal cell death and DNA damage, using the APPV717I× TAUP301L (AT) mouse model of AD. The expression of 84 inflammatory and 84 redox genes in the hippocampus and peripheral blood of double transgenic AT mice was evaluated against age-matched controls. A distinctive gene expression profile in the hippocampus and the blood of AT mice was identified, addressing DNA damage, apoptosis and thrombosis, complemented by inflammatory factors and receptors, along with ROS producers and antioxidants. Gene expression dysregulations that are common to AT mice and AD patients guided the final selection of candidate biomarkers. The identified inflammation and redox genes, common to AD patients and AT mice, might be valuable candidate biomarkers for preclinical drug development that could be readily translated to clinical trials.
Methylphenidate Use for Emotional Dysregulation in Children and Adolescents with ADHD and ADHD and ASD: A Naturalistic Study

Emotional dysregulation (ED) is common in attention-deficit/hyperactivity disorder (ADHD). Nonetheless, research on ADHD in children with autism spectrum disorder (ASD) and ADHD is still ongoing. Several studies suggest that methylphenidate (MPH) may be effective for ED in ADHD, while there is not enough evidence about its use in ASD with comorbid ADHD. This naturalistic study aims to investigate the effectiveness of immediate- and extended-release MPH in the treatment of ED in 70 children and adolescents (6–18 years), with a diagnosis of ADHD (n = 41) and of ASD with comorbid ADHD (n = 29), using the Child Behavior Checklist—Attention/Aggressive/Anxious (CBCL-AAA). Their parents completed the CBCL twice—first during the summer medication-free period, that is, at least one month after drug interruption; and again after three months of treatment restart. Results demonstrate that MPH is associated with a statistically significant reduction in ED in ADHD and ASD, without substantial adverse events, supporting the use of psychostimulants for the treatment of ED in these neurodevelopmental disorders.
Analisis Kebutuhan Sumber Daya Manusia Pengelolaan Ekowisata Berbasis Masyarakat (Studi Kasus di Desa Bahoi, Kecamatan Likupang BArat, Kabupaten Minahasa Utara)

Desa Bahoi di Kecamatan Likupang Barat, Kabupaten Minahasa Utara, Provinsi Sulawesi Utara adalah desa yang mempunyai potensi keindahan laut dan dikelola oleh kelompok ekowisata berbasis masyarakat namun hasilnya belum optimum. Penelitian ini dilaksanakan untuk menganalisis kondisi SDM kelompok pengelola ekowisata di Desa Bahoi saat ini (existing), kondisi SDM yang ideal serta pemenuhan kebutuhan SDM pengelolaan ekowisata yang memerlukan peningkatan hasil. Peneltian menggunakan metode kualitatif, teknik pengumpulan data dilakukan dengan observasi lapangan, wawancara, diskusi kelompok (FGD) dan studi pustaka Hasil penelitian menunjukkan bahwa kapasitas SDM kelompok pengelola ekowisata di Desa Bahoi masih terbatas, terutama kapasitas dalam pengelolaan manajemen bisnis (organisasi, keuangan, pemasaran), pelayanan homestay, produksi kerajinan, kualiftkasi sertifikat diving pemandu selam, maupun kemampuan Bahasa Inggris para pemandu selam (diving). Untuk meningkatkan efektivitas pengelolaan ekowisata di Desa Bahoi perlu mereposisikan fungsi ketua kelompok sebagai seorang manajer bisnis, sekretaris menjadi staf humas dan pemasaran serta bendahara menjadi staf administrasi dan keuangan. Tiga pengurus inti tersebut mengkordinir 3 unit kegiatan ekowisata, yaitu unit wisata diving/mangrove/pasir putih, unit pengelolaan homestay dan unit usaha produksi kerajinan. Sebagai kegiatan yang berbasis masyarakat maka pemenuhan kebutuhan SDM menuju pengelolaan ekowisata yang lebih baik harus tetap memprioritaskan tenaga setempat Untuk meningkatkan kapasitas SDM kelompok pengelola ekowisata diperlukan pelatihan-pelatihan: manajemen bisnis (organisasi, keuangan, pemasaran), pelatihan selam level dive master, pelatihan guide, kursus Bahasa Inggris, kursus manajemen perhotelanl homestay, serta pelatihan produksi kerajinan lokal. Untuk menghindari konflik dan kecemburuan sosial antara kelompok ekowisata dan kelompok DPL di Desa Bahoi diperlukan pengelolaan terpadu di bawah satu organisasi (holding) yang mampu memayungi kegiatan operasional dua kelompok tersebut, baik operasional biaya, pendapatan maupun komunikasi dengan pihak luar. Untuk mengetahui model pengelolaan terpadu tersebut perlu dilakukan penelitian lanjtan sehingga ditemukan Model Bisnis Ekowisata Berbasis Masyarakat di Desa Bahoi yang mampu memberi kesejahteraan masyarakat secara efektif.
Locating an Underwater Target Using Angle-Only Measurements of Heterogeneous Sonobuoys Sensors with Low Accuracy

This paper considers locating an underwater target, where many sonobuoys are positioned to measure the bearing of the target’s sound. A sonobuoy has very low bearing accuracy, such as 10 degrees. In practice, we can use multiple heterogeneous sonobuoys, such that the variance of a sensor noise may be different from that of another sensor. In addition, the maximum sensing range of a sensor may be different from that of another sensor. The true target must exist within the sensing range of a sensor if the sensor detects the bearing of the target. In order to estimate the target position based on bearings-only measurements with low accuracy, this paper introduces a novel target localization approach based on multiple Virtual Measurement Sets (VMS). Here, each VMS is derived considering the bearing measurement noise of each sonar sensor. As far as we know, this paper is novel in locating a target’s 2D position based on heterogeneous sonobuoy sensors with low accuracy, considering the maximum sensing range of a sensor. The superiority (considering both time efficiency and location accuracy) of the proposed localization is verified by comparing it with other state-of-the-art localization methods using computer simulations.
The Impact of Teacher Competence in Online Teaching on Perceived Online Learning Outcomes during the COVID-19 Outbreak: A Moderated-Mediation Model of Teacher Resilience and Age

During the COVID-19 pandemic, teachers had to conduct online classes because of the breakdown of school learning. Teacher competence has a great impact on the students’ learning outcomes in online learning. Teacher resilience is also important to help teachers survive and achieve a high level of well-being in emergency situations. Previous studies have explored the protective and risk factors of teacher resilience, among which teacher competence in various aspects is included. In addition, teachers’ age differences in competence and resilience have been the focus of past studies. However, few studies have investigated the impact of teacher competence on students’ online learning outcomes, the mediating role of teacher resilience, and the moderating effect of age when teachers participate in emergent online teaching. To address the above gap, this study explored teachers’ perceptions of students’ online learning outcomes and how teacher competence in online teaching and resilience can predict these outcomes. The data of 159,203 participants were collected and subjected to correlation analyses and a moderated-mediation effect test. The results indicated that (1) teacher competence in online teaching was positively related to perceived online learning outcomes; (2) teacher resilience was positively related to the teachers’ perceived online learning outcomes; (3) teacher resilience played a partial mediating role between teacher competence in online teaching and perceived online learning outcomes; and (4) teachers’ age moderated the direct and indirect relation between teacher competence in online teaching and perceived online learning outcomes. The findings imply that teachers should strengthen their own teaching competence and their resilience before conducting online teaching. In addition, this study proposes intervention strategies to enhance teachers’ resilience and well-being through teacher competence cultivation and provides suggestions for different age levels of teachers to develop and train their online teaching competence and resilience in the future.
Assessing the effectiveness of community-based watershed management practices in reversing land degradation in the Finchwuha watershed, Gojjam, Ethiopia

ABSTRACT Land degradation is an evident and severe environmental problem in Ethiopia. Since 2003 community-based watershed management has been implemented in the study area to reduce land degradation. This study aimed to investigate to what extent the community-based watershed management is effective in rehabilitating the land. Woody vegetative cover, land use/cover (LULC) change and soil erosion rate were selected variables to examine the effectiveness of the management measures. The LULC and woody vegetative cover spatial datasets were created from Landsat satellite images of 2003 and 2019 using ERDAS IMAGINE 2016® and ArcGIS10.8®. The soil loss rate was modelled using geoinformation techniques combined with the Revised Universal Soil Loss Equation. To assess the perception of farmers involved in the watershed rehabilitation activities, qualitative data were collected through Focus Group Discussions and Key Informant interviews. The results showed that the average annual soil loss rate in the study area was 49.5 tonnes (t)/hectare (ha−1)/year(y−1) in 2003 and 23.8 t ha−1y−1 in 2019, which is a 52% decrease over 16 years. Woody vegetative cover and grassland increased by 11% and 103%, respectively. These figures and respondents’ responses, Focus Group Discussants and Key Informants showed that the community-based watershed management measures implemented in the study area were effective for improving vegetation cover and reducing soil loss (reducing land degradation). The sustainability of these achievements is contingent on the availability of a robust local organizational set-up complemented by the provision of natural resources development technologies, capacity building and security of land tenure. In sum, the findings in the study lead to conclude that the active involvement of farmers in land management and security of land tenure are effective approaches to reverse land degradation in the highlands of Ethiopia.
The Impact of Livelihood Sources on Relative Poverty among Households in the Karst Mountains, a case study from Huajiang demonstration area, SW China

ABSTRACT After eliminating absolute poverty in 2020, China is shifting its focus from poverty eradication to achieving common prosperity, and relative poverty is currently a research focus.This paperuses interdisciplinary analysis methods to measure households’ livelihood sources and relative poverty in the karst mountains and explore the impact of livelihood sources on relative poverty. The results show that relative poverty in the Huajiang demonstration area is mainly manifested by a lack of material conditions influenced by natural conditions. The status of household labour, production conditions, social networks and natural conditions affect households’ livelihood sources. Increasing household livelihood sources can significantly alleviate their relative poverty status. The increase in household livelihood sources , agricultural modernization and breeding specialization can all significantly reduce household poverty level, whereas increased subsidy income may reduce the incentive for households to develop themselves. The study’s findings provide an important scientific basis for improving the livelihood resilience of households in the karst mountains and help consolidate and expand poverty alleviation.
Considerations for Modelling Firm-Level Innovation Processes in Privacy and Cyber Security Organisations

Rapid changes in technology infrastructure, the explosion of data, always-on-always-connected world, the emergence of “multiple internets” and escalating regulation and standards have and continue to offer fertile ground for the development of products and services to increase ICT and personal security. A prevalent challenge however, facing the privacy and cybersecurity (PACS) community is transitioning technical R&D outputs into commercial and marketplace-ready products and services. Compounding this, the PACS domain is deeply influenced from various themes driven by technical, human, societal, organizational, economic, legal, and regulatory concerns among others; these factors combine to create marketplace and innovation ecosystem with complex value chain relationships. In response, this paper seeks to address the innovation phenomenon at the firm-level by delineating innovation ecosystems and identifying key components for consideration in terms of assessing and in turn, (re)modelling innovation processes.
An approach to graph-based modeling of network exploitations

Computer security professionals and researchers are investigating proactive techniques for studying network-based attack behavior. Attack modeling is one of these research areas. In this dissertation, we address a novel attack modeling technique called an exploitation graph (e-graph) for representing attack scenarios. The key assumption in this research is that we can use exploitation graphs to represent attack scenarios, and methods involving e-graphs can be applied to provide vulnerability mitigation strategies. The modeling process consists of three primary steps. The first step is the creation of a knowledge base of vulnerability graphs (v-graphs) from known system vulnerabilities. Each v-graph shows necessary preconditions in order to make the vulnerability exploitable, and post-conditions that denote effects after a successful exploitation. A template is used to facilitate the definition of preconditions and post-conditions. The second step involves the association of multiple v-graphs to create an e-graph specific to a system being modeled. Network topology information and security policies (e.g., firewall rules) are encoded during the modeling process. A set of experiments were designed to test the modeling approach in a cluster computing environment consisting of one server node and eight internal computing nodes. Experimental results showed that e-graphs can be used to evaluate vulnerability mitigation solutions, e.g., identifying critical vulnerabilities and evaluating firewall policies. The third step of this process focuses on devising graph-simplification techniques for large e-graphs. Efficient graph-simplification techniques are described based on host and exploitation similarity. The most distinctive feature of these techniques is that, they help to simplify the most complex graph-generation process and do not require excessive memory storage. Experimental results showed that these techniques can not only reduce the size of e-graphs substantially, but also preserve most information needed for useful attack scenario analysis. The usefulness of the e-graph approach is shown in this dissertation. As a general approach for system administrators, the proposed techniques can be used in, but is not limited to, the cluster-computing environment in providing proactive Vulnerability Assessment (VA) strategies.
Wing-rotor aerodynamic interference on a tiltwing aircraft in the first part of conversion manoeuvre

Tiltwing aircraft represents a possible future evolution of conventional tiltrotors. Indeed, by making use of smaller rotors, a tiltwing is able to hover in helicopter mode, to achieve very high forward speed in cruise flight in aeroplane mode and to allow for horizontal taking off and landing. The partial tilting wing concept, introduced in 2000 in the ERICA tiltrotor design, made the tiltwing solution even more attractive. Although this promising configuration was widely studied, many aspects require further analysis. In the present work, the initial stage of the transition manoeuvre that allows a tiltwing aircraft employing the partial tilting wing solution to convert from helicopter to aeroplane mode is investigated. An extensive wind tunnel test campaign carried out in the Politecnico di Milano Large Wind Tunnel is described and the effects due to the aerodynamic interaction between wing and rotor are discussed. Aircraft performance are also discussed to assess the effectiveness of this aircraft design.
Information Systems as Structure or Actor A study of the implementation of a case processing system in an organisation

Summary This paper reports from an evaluation of the implementation and use of an integrated archiving and case processing system in a Norwegian municipality. The implementation and adaptation of this system was part of a strategy for reorganising the municipality from a traditional multilevel bureaucratic model towards a network oriented organisation based on two levels. Our analysis clearly indicates that various groups in the organization enact different technology-in-use with the same system across various context and practices. At the same time, it is also revealed how these structures have influenced the characteristics of the system in the way it is being adopted and used in different parts of the organisation. The paper thus provides an illustration of how Orlikowskis extension to structuration theory offers a fruitful way of explaining the variations in how the same systems is being used across the organisation when introducing a new IT-system in a large organization. Thus, we believe that Orlikowskis notion of technologyin-practice provides a useful framework for evaluating IT implementations in organisations.
Low Cost Mammography Image Enhancement and Analysis Mechanisms

— In this paper we have focused a on reasonable mammography analysis to cater people at large based on wavelet image processing, Neural Network and Edge detection methods with a minimum computing requirements. The paper analyses the mammogram images and delivers a report on the image details for an early detection of the cancerous development in human. The idea is to provide lower cost of the patient treatment with simple algorithms. In the existing scenario, there is a consistent increase in the cost of treatment to the patients owing to the requirement of the complicated computing hardware and Computer Aided Design Tools. The methods presented in this paper are simple and with achievable results and claims to be faster for early detection of breast cancer. Hence, the proposed algorithms have low cost approach and would benefit to the human society. In this paper we have focused on three vital methods of detection and extraction from mammographic images and the output images are given for further analysis for detection and possible diagnosis.
Calculation of Journal Bearing Dynamic Characteristics Including Journal Misalignment and Bearing Structural Deformation©

A detailed journal bearing analysis for accurate evaluation of film dynamic characteristics is presented. The new formulation is based on a local perturbation of the oil film at each computational node that captures the important effects of journal misalignment and bearing structural deformation in rotor dynamics and engine NVH applications. The new algorithm is an extension to the classical approach of evaluating film dynamic characteristics based on journal eccentricity perturbation. The governing equations for the oil film pressure, stiffness, and damping are solved using a finite difference approach and their output is validated with numerical results from the literature.