Miracle-dz/UniFAR-FTUs huggingface dataset:
Innovation of Enterprises in the Business Services Sub-Sector in Poland: Adaptation of the VUCA Concept

: Purpose: The aim of the article is to present the possibilities of adapting the VUCA concept to building innovativeness of enterprises in the business services subsector. Design/methodology/approach: The verification of the hypothesis and the implementation of the goal were carried out through theoretical and empirical research of enterprises in the business services subsector. Due to the diversity of enterprises in the business services subsector, empirical research was directed to groups of internally coherent entities whose functioning and development are based on professional knowledge. Findings: In the 21st century, many changes have taken place in Poland that have had a positive impact on the ability to think about innovation. However, this did not translate into the innovativeness of the Polish economy, which is still low compared to other countries that claim to be at least medium-developed. Improving the innovativeness of Polish enterprises requires a new approach to innovation. This will be facilitated by the use of the VUCA concept. Practical implications: The article proposes a new reference model of enterprise innovation. Its use by enterprises in the business services subsector will enable them to maintain or increase innovation in VUCA conditions. The application of this concept requires a reliable analysis of four areas of enterprise innovation and VUCA conditions. Originality/Value: Research described in the literature indicates similar strategies for maintaining enterprise innovation. However, the literature on the subject does not address the topic in relation to enterprises in the business services subsector and does not fully take into account the VUCA conditions. This article fills this gap.
A COMPARISON STUDY OF LOW-COST PERSONAL LASER SCANNING SYSTEMS FOR FOREST PLOT-LEVEL INVENTORIES

Abstract. Forest resource is an essential part of the environment, and can be used for carbon sink, soil conservation, windbreak and sand fixation, which is of great significance to maintaining the balance of ecologic and sustainable city development. Due to the complexity of wildwood, the approach of traditional forest inventory is difficult, low-efficiency, and labour-intensive. Thus, a handheld personal laser scanning (PLShh) system is proposed in this paper. To solve the limitation of low-cost LiDAR’s FoV, two LiDAR scanners (Ouster OS-1-128 and Hesai PandarXT-32) are integrated in our PLShh system. The enhancement of our PLShh have be demonstrated by the experiments in field forest plots. The comparison of trajectory and the comparison of point cloud have been conducted extensively. Experiment results show that the trajectory estimated by two scanners (Ouster and Hesai) has a strong consistency with using one scanner (Ouster), with standard deviation at sub-centimetres level. And the trajectory deviation between two scanners and UWB is ∼15cm, which is consistent with the inherent positioning accuracy of UWB sensors. In addition, the point cloud data obtained by two scanners or one scanner have been quantitatively evaluated by the TLS (Leica RTC 360) muti-scan. The difference between tree height extracted from two scanners and TLS data was small, even at sub-meter level only. But the tree height extracted from one scanner is lower ~8m in comparison with TLS data, because of the limitation of vertical FoV. Therefore, the great potential of our PLShh system with two scanners has been shown in the application of forest inventory.
PROFILE OF MEDICAL STUDENTS' METACOGNITIVE SELF-REGULATED LEARNING STRATEGIES IN PBL GROUP DISCUSSION DURING THE LIMITED FACE-TO-FACE LEARNING PERIOD

Background: The change in the learning environment, from fully online to limited face-to-face could affect the use of metacognitive self-regulated learning (SRL) strategies in carrying out Problem-Based Learning (PBL) group discussions as one of the main learning methods in the faculty of medicine in Indonesia or elsewhere. The study aimed to describe the profile of metacognitive SRL strategies in conducting PBL group discussions during the limited face-to-face learning period.Methods: This was a descriptive quantitative observational study conducted at The Faculty of Medicine, Universitas Jenderal Soedirman during the implementation of limited face-to-face learning in the even semester of 2021/2022. Undergraduate students selected by total sampling were asked to fill in a questionnaire that was adapted from the MSLQ. The frequency of a learning strategy application for each of the 22 examples of metacognitive SRL strategies differed into: never; rarely; frequently; or always.Results: The response rate was 57.93% (199 students). Most (70.4%) of the respondents were women and had an average of 19.6 years old. Learning strategies with the largest proportion of "always" and "frequently" applied (44.58% - 65.38%) were related to identifying reading/learning needs; learning from peer feedback; and keeping focus. Learning strategies with the largest proportion of "rarely" and "never" (30.12% - 53.13%) were related to monitoring and evaluating achievement and applying reflective learning.Conclusion: The profile of the implementation of learning strategies during the limited face-to-face learning period has been identified. Efforts need to be made to improve students' abilities in implementing learning strategies that are rarely and never used.
Predicting Student Engagement Using Sequential Ensemble Model

Predicting student engagement can provide timely feedback and help teachers make adjustments to their practices to meet student needs and improve their learning experience. This article proposes a four-step approach using a sequential ensemble model for engagement prediction, discusses the contribution of different features to the model and the influence of video segmentation in the prediction, reports on two in-the-wild datasets-The Emotion Recognition in the Wild Engagement Prediction (EmotiW-EP) dataset published in 2018 as part of a student engagement task and the Dataset for Affective States in E-Environments (DAiSEE), a general purpose dataset also used in the educational context but not limited to it, and, finally, presents a comprehensive and thorough critical analysis, highlighting crucial factors to consider when using AI/computer vision models in educational datasets for learning purposes. Experiments show that our proposed approach outperforms state-of-the-art approaches by obtaining a mean square error of 0.0386 on the DAiSEE dataset and 0.0610 on the EmotiW-EP dataset. We conclude this article with a critical analysis of the reliability of such predictions in learning environments and propose future directions for the effective use of AI/computer vision models in education.
Education Transformation in Era 4.0: The Effect of Learning Facilities on Student Learning Outcomes

This study aims to determine the effect of learning facilities on the learning outcomes of SMK Pasundan 1 Serang City class XI students. The sample of this research is class XI students of SMK Pasundan 1 Serang City, with as many as 61 people who act as respondents. To answer questions from the formulation of the problem above, the type of research used is quantitative. In contrast, the data collection technique uses questionnaires, observation, and documentation, and the data analysis technique uses SPSS IBM 26. The results of hypothesis testing research using validity test, reliability test, normality test, linearity test, T-test, and F test show that learning facilities obtained the results of tcount 8.257> ttable 2.002 (sig 0.000 <0.05), meaning that H0 is rejected and Ha is accepted. Thus, it can be concluded that there is an influence between learning facilities on the learning outcomes of class XI students of SMK Pasundan 1 Serang City.
Probing the underlying principles of dynamics in piano performances using a modelling approach

Variations in dynamics are an essential component of musical performance in most instruments. To study the factors that contribute to dynamic variations, we used a model approaching, allowing for determination of the individual contribution of different musical features. Thirty monophonic melodies from 3 stylistic eras with all expressive markings removed were performed by 20 pianists on a Disklavier piano. The results indicated a relatively high agreement among the pianists (Cronbach’s alpha = 0.88). The overall average dynamics (across pianists) could be predicted quite well using support vector regression (R2 = 66%) from a set of 48 score-related features. The highest contribution was from pitch-related features (37.3%), followed by phrasing (12.3%), timing (2.8%), and meter (0.7%). The highest single contribution was from the high-loud principle, whereby higher notes were played louder, as corroborated by the written feedback of many of the pianists. There were also differences between the styles. The highest contribution from phrasing, for example, was obtained from the Romantic examples, while the highest contribution from meter came from the Baroque examples. An analysis of each individual pianist revealed some fundamental differences in approach to the performance of dynamics. All participants were undergraduate-standard pianists or above; however, varied levels of consistency and predictability highlighted challenges in acquiring a reliable group in terms of expertise and preparation, as well as certain pianistic challenges posed by the task. Nevertheless, the method proved useful in disentangling some underlying principles of musical performance and their relation to structural features of the score, with the potential for productive adaptation to a wider range of expressive and instrumental contexts.
Chemokine Receptor Expression in Squamous Cell - and Adeno-Subtypes of Sinonasal Carcinoma

ABSTRACT Background: Chemokines are involved in the chemotaxis of immune cells, angiogenesis, and cancer progression. For several tumor entities, it has been shown that the expression of chemokine receptors CCR7 and CXCR5 is of prognostic relevance. However, their role in the development of sinonasal cancer is currently not understood. Patients and Methods: This work aimed to examine the relevance of chemokine receptor expression of CXCR5 and CXCR7 in sinonasal squamous cell carcinoma and adenocarcinoma and investigate a possible prognostic role. Tissue sections of 56 patients suffering from sinonasal cancers (squamous cell carcinoma and adenocarcinoma n = 41/15) were immunohistochemically stained for CCR7 and CXCR5. Afterwards, slides were evaluated by an immune scoring model. Results: CCR7 expression was more abundant in squamous cell carcinoma than in adenocarcinoma (5.43 points vs. 2.38 points; p < 0.001 ). There was no significant correlation between CCR7 or CXCR5 expression and age, histological type, grading, TNM status, UICC classification, recurrence, and event of distant metastasis. We neither detected any effect of CCR7 nor CXCR5 on survival. Conclusion: CXCR5 and CCR7 may play an important role in the tumor microenvironment signaling in various tumors including those of the head and neck region and are mostly associated with an impaired prognosis. However, this does not seem to be the case in the investigated subtypes of sinonasal cancer.
Thermal Multisensor Fusion for Collaborative Robotics

Collaborative robotic configurations for monitoring and tracking human targets have attracted interest in the fourth industrial revolution. The fusion of different types of sensors embedded in collaborative robotic systems achieves high-quality information and contributes to significantly improve robotic perception. However, current methods have not deeply explored the capabilities of thermal multisensory configurations in human-oriented tasks. In this paper, we propose thermal multisensor fusion (TMF) for collaborative robots to overcome the limitations of stand-alone robots. Thermal vision helps to utilize the heat signature of the human body for human-oriented tracking. An omnidirectional (O-D) infrared (IR) sensor provides a wide field of view (FOV) to detect human targets, and Stereo IR helps determine the distance of the human target in the oriented direction. The fusion of O-D IR and Stereo IR also creates a multisensor stereo for an additional determination of the distance to the target. The fusion of thermal and O-D sensors brings their limited prediction accuracy with their advantages. The maximum a posteriori method is used to predict the distance of the target with high accuracy by using the distance results of TMF stereo from multiple platforms according to the reliability of the sensors rather than its usage of visible-band-based tracking methods. The proposed method tracks the distance calculation of each sensor instead of target trajectory tracking as in visible-band methods. We proved that TMF increases the perception of robots by offering a wide FOV and provides precise target localization for collaborative robots.
Study on the influence of Douyin short video marketing on camping travel intention

In order to explore the impact of three dimensions of short video marketing (namely, influence, trust and bias) on camping tourism intention, this paper takes perceived usefulness and perceived ease of use as intermediary variables to build a theoretical framework and conduct empirical analysis. The results show that: the three independent variables have a positive impact on perceived usefulness, perceived ease of use and camping travel intention, Perceived usefulness plays an intermediary role between the three independent variables and camping travel intention, while perceived ease of use only plays an intermediary role between Douyin short video influence, bias and camping travel intention. This paper will put forward corresponding suggestions on Douyin short video marketing based on the research conclusions.
Hyaluronidase for Dermal Filler Complications: Review of Applications and Dosage Recommendations

Background Hyaluronidase (Hyal) can reverse complications of hyaluronic acid (HA) fillers, which has contributed substantially to the popularity of such procedures. Still, there are differing opinions regarding Hyal treatment, including dosage recommendations in filler complication management. Objective We aimed to address unanswered questions regarding Hyal treatment for HA filler complications, including timing and dosage, skin pretesting, properties of various Hyals and interactions with HA gels, and pitfalls of the treatment. Methods PubMed and Google Scholar databases were searched from inception for articles on Hyal therapy for filler complications. Articles were evaluated regarding their contribution to the field. The extensive literature review includes international leaders’ suggestions and expert panels’ recommendations. Results There are limited controlled data but increasing clinical experience with Hyal treatment. The currently used Hyals provide good results and have an acceptable safety profile. Nonemergent complications such as the Tyndall effect, noninflamed nodules, and allergic or hypersensitivity reactions should be treated with low or moderate Hyal doses. Hyal should be considered with prior or simultaneous oral antibiotic treatment in managing inflammatory nodules. Hyal may be tried for granulomas that have not responded to intralesional steroids. Emergent complications such as vascular occlusion and blindness require immediate, high-dose Hyal treatment. Regarding blindness, the injection technique, retrobulbar versus supraorbital, remains controversial. Ultrasound guidance can increase the efficacy of the above interventions. Conclusions Hyal is essential in aesthetic practice because it can safely treat most HA filler complications. Immediate Hyal treatment is required for emergent complications. Aesthetic practitioners should be versed in using Hyal and effective dosage protocols.
ETIKA JURNALISTIK PENGGUNAAN CLICKBAIT OLEH VODCAST DEDDY CORBUZIER DALAM MENGEMAS ISU SEKSUALITAS

Penelitian ini bertujuan untuk mengetahui etika jurnalistik penggunaan clickbait oleh vodcast Deddy Corbuzier dalam mengemas isu seksualitas. Adapun penelitian ini dilakukan melalui pendekatan kualitatif jenis deskriptif dengan mengidentifikasi penggunaan clickbait berdasarkan tipe konsep clickbait menurut Biyani, Tsioutsiouliktis, dan Blackmer (2016). Tipe tersebut terdiri dari exaggeration, teasing, inflammatory, formatting, graphic, bait and switch, ambiguous dan wrong. Lebih dari itu, penelitian ini juga mengidentifikasi dimensi seksualitas menurut Argyo Demartoto (2010). Dalam menganalisis praktik clickbait yang mengindikasikan adanya pelanggaran etika jurnalistik digunakan konsep etika jurnalistik yang tertuang pada buku The Elements of Journalism oleh Bill Kovach dan Tom Rosenstiel (2007). Dari sepuluh elemen jurnalisme, terdapat lima elemen yang paling berkaitan erat dan menjadi pembahasan pokok penelitian, di antaranya: pertama, berkewajiban pada kebenaran, kedua, loyalitas pertama kepada warga, ketiga disiplin verifikasi, keempat, berupaya membuat informasi menarik dan relevan, terakhir, mampu menjaga informasi yang dibuat secara komprehensif dan proposional. Hasil penelitian menunjukkan bahwa praktik clickbait yang dijalankan oleh #CloseTheDoor Corbuzier Podcast terbukti mencederai sejumlah elemen etika jurnalistik. Hal ini dibuktikan berdasarkan hasil observasi serta wawancara bersama informan penelitian.
Amundsen and Bellingshausen Seas simulation with optimized ocean, sea ice, and thermodynamic ice shelf model parameters

Recent studies suggest that the thickness of Winter Water (WW), that is, water with potential temperature below ∼-1°C located below Antarctic Surface Water and above Circumpolar Deep Water (CDW) is critical in determining the ice shelf melt rate, especially for the Pine Island Glacier (PIG). Existing model studies, however, misrepresent WW thickness and properties in the Amundsen Sea (AS). Here, we adjust a small number of model parameters in a regional Amundsen and Bellingshausen Seas configuration of the Massachusetts Institute of Technology general circulation model in order to reproduce properties and thickness of WW and CDW close to observations, with significant improvement for WW compared to previous studies. The cost, which is defined as weighted model-data difference squared, is reduced by 23%. Although a previous modeling study points out that the local surface heat loss upstream from Pine Island Polynya could be the reason for the observed 2012 PIG melt decline and WW thickening, they did not show WW freshening, which was observed at the same time. Model sensitivity experiments for surface heat loss, PIG melt rate, and precipitation fail to replicate WW freshening concurrent with PIG melt decline, implying that these processes can not fully explain the observed PIG melt decrease.
Compression strength parallel to grain of Scots pine (Pinus sylvestris L.) wood-relationships between values calculated at different heights of the trunk

Compression strength parallel to grain in wood of Scots pine (Pinus sylvestris L.) – relationships between values calculated at different heights of the trunk. The aim of the study was to analyse relationships between compression strength parallel to grain determined at different heights of the trunk, particularly between breast height stem cross-section and sections located higher. Analyses were conducted in northern Poland in the Regional Directorate of the State Forests in Szczecinek on material coming from 63 mean sample trees. A total of 315 samples were collected, five from each mean sample tree. Samples were located at different heights, the first at breast height (d1.3), followed by 20 (SII), 40 (SIII), 60 (SIII) and 80% (SV) tree height. Each level (section) was represented by two opposite radiuses – eastern and western. Strength testing was performed at a moisture content over 30% (above fibre saturation point). Average compression strength parallel to grain in Scots pine wood was 22,62 MPa. When analysing axial variability the greatest CS value was recorded at breast height [25,77 MPa], while it was lowest in wood coming from the apical section of the trunk [19,82 MPa]. Despite observed differences the relationships between individual parts of the stem were linear in character and they were confirmed by high linear correlation coefficients r. Generally strong relationships, indicated by a high linear correlation coefficient, were found between adjacent measurement levels. It is possible to model compression strength parallel to grain based on values recorded at breast height. In order to obtain a possibly accurate result in the case of sections distant from the model level (d1.3) prediction may be based on a potentially numerous set of additional independent variables.
Integrated runoff-erosion modelling in the Brazilian Water Resources Information System (SNIRH)

This paper presents details of how part of the Brazilian Water Resources Information System (SNIRH) was developed. The work was carried out by four research networks made up of several Brazilian universities. One of these networks was responsible for the integration of rainfall―runoff models to the SNIRH. In order to integrate the rainfall―runoff models into the SNIRH, the OpenJUMP software was used as an interface to manage the input data and the simulation results. Among the selected models, there is a distributed runoff―erosion model named Kineros with a new friendly interface, in order to provide more detailed simulations exercises, allowing users to analyse the results easily. The model can import the rainfall data from SNIRH and separately simulate the runoff and erosion processes. Finally, this new tool, which integrates different hydrological models in a single base, can support the decision-making process for water resources in Brazil.
Improving the Performance of Turbo-Coded Systems under Suzuki Fading Channels

In this paper, the performance of coded systems is considered in the presence of Suzuki fading channels, which is a combination of both short-fading and long-fading channels. The problem in manipulating a Suzuki fading model is the complicated integration involved in the evaluation of the Suzuki probability density function (PDF). In this paper, we calculated noise PDF after the zero-forcing equalizer (ZFE) at the receiver end with several approaches. In addition, we used the derived PDF to calculate the log-likelihood ratios (LLRs) for turbo-coded systems, and results were compared to Gaussian distribution-based LLRs. The results showed a 2 dB improvement in performance compared to traditional LLRs at 10 - 6 of the bit error rate (BER) with no added complexity. Simulations were obtained utilizing the Matlab program, and results showed good improvement in the performance of the turbo-coded system with the proposed LLRs compared to Gaussian-based LLRs.