Miracle-dz/UniFAR-FTUs huggingface dataset:
The Development Plan of Mojopahit Marine Tourism: Social-Economy Impact Assessment

This research is urgently needed to be carried out as an initial assessment to forecast the strategic socio-economic issues as the impact toward Mojopahit Maritime Tourism development plan. The analysis is seen from a social context to measure the socio-economic impacts and also the adaptation strategies that will be carried out by the community. An approach for addressing research problems was decided upon: mixed method research. About 101 people who were chosen through clustered random sampling as respondents participated in this study. Distribution of semi-closed-end questionnaires, purposive sampling-based stakeholder interviews, and field observations were used to gather the data. Data analysis was carried out through descriptive analysis and presented in tables and graphs. The validity test of the research was triangulation. Regarding to the Mojopahit Marine Tourism development plan, this study concluded that the community has sufficient knowledge in measuring the socio-economic impacts of Mojopahit Marine Tourism development plan, including unemployment issue, congestion issue, bio degradation issue, land/building ownership changing, and economic activities changing. Although Mojopahit Marine Tourism will be established in the next year, policy makers have made physical, social, and economic preparations to welcome this development plan through an agent called Tourism Awareness Group (Pokdarwis), socialization programs through digital platforms, and collaborative preparation among departments, city government, district government, as well as village government. It is hoped that the growth of tourism will benefit all Mojokerto local people.
Enhanced optoelectronic performance from the Ti-doped ZnO nanowires

Ti-doped ZnO nanowires (NWs) were fabricated by thermal evaporation and metal vapor vacuum arc (MEVVA) ion implantation process. The effect of Ti doping on the structure, morphology, and electrical/optical properties of the as-grown NWs was investigated. The fraction of Ti doping was estimated to be 1 at. % to 2 at. % based on energy-dispersive x-ray spectroscopy (EDS). The x-ray diffraction analyses indicated that Ti-doped ZnO NWs are similar to ZnO NWs in crystal structure, which has been taken to indicate that no titanium oxide phase was produced. Cathodoluminescence (CL) spectra taken from the Ti-doped ZnO NWs at room temperature showed two distinct emission peaks, at 374 nm and at 752 nm. Electrical measurements showed that the resistivity of a single ZnO NW decreased from 1.22 × 10−1 Ω cm to 3.5 × 10−2 Ω cm with Ti doping. The semiconducting parameters of bent Ti-doped NWs squeezed between two approaching contacts inside the pole piece of the microscope were determined on the basis of experimentally.
H I deficiency in cluster spiral galaxies - Dependence on galaxy size

From the available H I data on spiral galaxies in three rich Abell clusters and the Virgo Cluster, it is shown that galaxies with medium to large optical sizes tend to be more severely deficient in atomic hydrogen than the small galaxies. This is so both in terms of the fractional number of galaxies that are deficient and the amount of gas lost by a galaxy. The fraction of H l-deficient galaxies increases with size over most of the size range, saturating or dropping only for the largest galaxies. We make a comparative study of various currently accepted gas removal mechanisms, namely those which are a result of galaxy-intracluster medium interactions, e.g., ram pressure stripping, as well as those due to galaxy-galaxy interactions, i.e., collisions and tidal interactions. We show that with the exception of tidal interactions, all of these mechanisms would produce a size dependence in H I deficiency that is the opposite of that observed. That is, the gas in the largest galaxies would be the least affected by these mechanisms. However, if there is significant mass segregation, these processes may give the trends observed in the size dependence of H I deficiency. We propose that tidal encounters between galaxies in subclumps or groups, which then merged to form clusters or were subsequently accreted by them, could have led to significant gas removal from these galaxies at early epochs. This could qualitatively explain the dependence of H I deficiency on galaxy size. Since all the gas removal mechanisms known are less effective on the galaxies of the largest sizes, the drop in the fraction of deficient galaxies for these sizes is accounted for.
Robust Predictor-Based Control for Multirotor UAV With Various Time Delays

This article presents a robust predictor-based sliding-mode control (RPSMC) for multirotor unmanned aerial vehicles (UAVs) to ensure desired tracking control under time delays, which appear in practice by communications, complex computation, and actuator delays. Many UAV applications have difficulty in control and operation due to various types of time delays, resulting in repeated commands, severe control instability, and then mission failure. However, existing controllers have limitations in solving time delay problems. In this article, the RPSMC with the prediction of future disturbance and reference trajectory is developed for the multirotor UAV to minimize the effects of time delay, robustly deal with external disturbances, and further achieve desired tracking control. The performance of RPSMC for the multirotor UAV is verified under various time delays and disturbances in numerical simulations. The results show the robustness and fast control convergence compared with proportional-integral-differential and conventional predictor-based controllers. Experimental results with step response and tracking of circular trajectory demonstrate the feasibility and performance of the RPSMC for UAVs in the presence of various time delays and disturbances.
Cluster observations of fast magnetosonic waves in the heliosphere current sheet

We present Cluster spacecraft observations of large‐amplitude (δ|B|/|B|∼1) fast‐mode magnetosonic waves in the heliospheric current sheet (HCS). The crossings of the HCS and the associated heliospheric plasma sheet (HPS) are encountered by Cluster in the near‐Earth solar wind and by ACE upstream of Earth. Multiple current layers are detected in correspondence with small‐scale discontinuities in the regime of open magnetic field lines within the HCS. Fast magnetosonic waves are observed at one current layer, accompanying the phase‐steeped edge of a large‐amplitude transverse Alfvén wave. The observed fast‐mode waves are in the frequency range 0.01 Hz–0.2 Hz, characterized by a strong correlation between variations of plasma density and magnetic field strength. Analysis of ratio δE/δBindicate that the fast‐mode wave packet consists of an antisunward propagating component and a larger sunward propagating component in the rest frame of the solar wind. The fast‐mode waves are not observed by ACE in the upstream solar wind. The generation of the fast‐mode waves may relate to the development of the phase‐steeped Alfvén wave and has profound effects on the evolution of the solar wind plasma.
Responses to Shame: Influences of Adherence to Masculinity Norms

Managing negative emotions is challenging even without the overlay of socially constructed gender role norms. We were curious about the effects of being confronted with shame on young men who either adhere strongly to traditional masculine gender roles norms or are nonconforming to these norms. We evaluated the shame responses of college men (N = 23), using the Thurston-Craddock Test of Shame (TCTS; Thurston & Craddock, 1998) as our stimulus while measuring physiological and verbal responses. Men in the traditional masculinity norms conforming group scored significantly higher (p = .001, η2 = .58) on 7 of the 11 subscales from the Conformity to Masculine Norms Inventory (CMNI; Mahalik et al., 2003) than men in the nonconforming group. When presented with shame-based stimuli, we found differences in heart rate variability depending on the level of overt shame in the stimulus with the two groups, p = . 038, η2 = . 12. The use of aggressive language when confronted with overt examples of shame was not different for our comparison groups. Our results indicate that men who adhere to traditional masculine norms hold different values for interacting with women, physical confrontation, and being in control of situations and others than men who have not internalized the traditional values of American masculinity. Understanding the continuum of values and responses to difficult emotions continues to be a valuable area to study.
AZIMUTHAL FIELD PERTURBATIONS IN THE JOVIAN MAGNETOSPHERE: ULYSSES OBSERVATIONS

Azimuthal magnetic eld perturbations observed by the Ulysses spacecraft during the inbound and outbound passes of the Jovian magnetosphere are compared with theoretically calculated values based on the transfer of angular momentum from the ionosphere to the magnetosphere due to departures from corotation of the magnetospheric plasma. On the inbound pass a \lagging" eld conguration was observed corresponding to regions of subcorotational o w. The peak azimuthal elds were found to fall with radial distance as r 1:4 . Good theoretical agreement is obtained with the observed values using a value for the Pedersen conductivity of 0:136 0:028 mho. This value is smaller than the 0:4 mho obtained by Vasyliunas from the analysis of the Pioneer 10 and the Voyager 1 and 2 data. The dierence is due to the larger elds observed by the latter spacecraft to which the theory was tted. On the outbound pass the theory gives good agreement with two large \lagging" eld signatures where the o w is again subcorotational. At larger distances, however, the presence of a consistently \leading" eld conguration is observed which is not predicted by the theory, since the o w was still subcorotational in this region. This \leading" conguration is suggested to be due to the tail-magnetopause current system.
Discovery of an Infrared Nucleus in Cygnus A: an Obscured Quasar Revealed?

This paper reports on the discovery of a compact, unresolved infrared nucleus, coincident with the radio core, in the prototypical powerful radio galaxy Cygnus A (3C 405). The infrared colors and magnitudes of the nucleus can be explained as a highly reddened extension of the radio continuum. The implied restframe extinction is A(V) equal to about 50 + or {minus} 30 magnitudes. The extinction-corrected luminosity of the object is in the quasar range. This discovery gives some support to the unification models for quasars and powerful radio galaxies. 35 refs.
Is There a Dark Side to Humility? Cross-Sectional and Longitudinal Evidence for Existential Costs of Humility

ABSTRACT Previous research has highlighted the benefits of holding one’s views with humility. However, might intellectual humility surrounding existential beliefs also incur some psychological costs? To advance research on intellectual humility about existential concerns (IH-E), we conducted four studies (N = 1,700) to examine potential costs of humility. Study 1 (N = 203) revealed that IH-E was associated with greater death-related anxiety. Study 2 (N = 1,151) replicated this association in a larger sample. In Study 3 (N = 77), a longitudinal study of first-year college students revealed that IH-E predicted negative changes in religious well-being three and six weeks later. In Study 4 (N = 269), a year-long longitudinal study of religious “ex-vangelicals” revealed that IH-E predicted religious disbelief and lower well-being one year later. We discuss implications for the nature and structure of security-providing worldviews. Despite the benefits of humility, holding existential beliefs humbly might come with intrapsychic costs.
Bioassay-Guided Fractionation with Antimalarial and Antimicrobial Activities of Paeonia officinalis

Bioassay-guided fractionation technique of roots of Paeonia officinalis led to isolation and structure elucidation of seven known compounds, including four monoterpene glycosides: lactiflorin (1), paeoniflorin (4), galloyl paeoniflorin (5), and (Z)-(1S,5R)-β-pinen-10-yl β-vicianoside (7); two phenolics: benzoic acid (2) and methyl gallate (3); and one sterol glycoside: β-sitosterol 3-O-β-D-glucopyranoside (6). The different fractions and the isolated compounds were evaluated for their antimicrobial and antimalarial activities. Fraction II and III showed antifungal activity against Candida neoformans with IC50 values of 28.11 and 74.37 µg/mL, respectively, compared with the standard fluconazole (IC50 = 4.68 µg/mL), and antibacterial potential against Pseudomonas aeruginosa (IC50 = 20.27 and 24.82 µg/mL, respectively) and Klebsiella pneumoniae (IC50 = 43.21 and 94.4 µg/mL, respectively), compared with the standard meropenem (IC50 = 28.67 and 43.94 µg/mL, respectively). Compounds 3 and 5 showed antimalarial activity against Plasmodium falciparum D6 with IC50 values of 1.57 and 4.72 µg/mL and P. falciparum W2 with IC50 values of 0.61 and 2.91 µg/mL, respectively, compared with the standard chloroquine (IC50 = 0.026 and 0.14 µg/mL, respectively).
ORGANIC COCONUT SUGAR FACTORY: FEASIBILITY STUDY INDONESIA CASE

Indonesia is the largest producer of coconut sugar in the world, one of the coconut sugar products is organic coconut sugar. The international market demand for organic coconut sugar is very large but Indonesian organic coconut sugar entrepreneurs are unable to fulfill, it for reasons of not being able to meet the required minimum quality and quantity standards. To overcome this problem, it is necessary to build an organic coconut sugar factory to produce coconut sugar according to export market quality standards in large quantities. The construction of organic coconut sugar manufacturing requires a large investment, so a feasibility study is needed to avoid investment mistakes. This study aims to analyze the feasibility of manufacturing organic coconut sugar. Feasibility analysis includes legal aspects, socio-economic aspects, technical aspects, aspects of human resources, market aspects, and financial aspects. The analytical tools used are descriptive qualitative analysis, SWOT analysis, and financial analysis using the payback period (PP), internal rate of return (IRR), net present value (NPV), and profitability index (PI) methods.
Study on Score Prediction Model with High Efficiency Based on Deep Learning

In the problem of unified classroom performance prediction, there is a certain lag in the prediction, and there are also problems such as the data sparsity and single feature in the data. In addition, feature engineering is often carried out manually in modeling, which highly depends on the professional knowledge and experience of engineers and affects the accuracy of the prediction to a certain extent. To solve the abovementioned gaps, we proposed an online course score prediction model with a high time efficiency that combines multiple features. The model uses a deep neural network, which can automatically carry out feature engineering and reduce the intervention of artificial feature engineering, thus significantly improving the time efficiency. Secondly, the model uses a factorization machine and two kinds of neural networks to consider the influence of first-order features, second-order features, and higher-order features at the same time, and it fully learns the relationship between the features and scores, which improves the prediction effect of the model compared to using only single feature learning. The performance of the model is evaluated on the learning analysis dataset from Fall 2015 to Spring 2021 and includes 412 courses with 600 students. The experimental results show that the performance of the prediction model based on the feature combination proposed in the present study is better than the previous performance prediction model. More importantly, our model has the best time efficiency of below 0.3 compared to the other models.
Novel Feature Extraction Method for Detecting Malicious MQTT Traffic Using Seq2Seq

Owing to their wide application, Internet of Things systems have been the target of malicious attacks. These attacks included DoS, flood, SlowITe, malformed, and brute-force attacks. A dataset that includes these attacks was recently released. However, the attack detection accuracy reported in previous studies has not been satisfactory because the studies used too many features that are not important in detecting malicious message queue telemetry transport (MQTT) traffic. Therefore, this study aims to analyze these attacks. Herein, a novel feature extraction method is proposed that includes the source port index, TCP length, MQTT message type, keep alive, and connection acknowledgment. The attacks were classified using the Seq2Seq model. During the experiment, the accuracy of the proposed method was 99.97%, which is 7.33% higher than that of previously reported methods.
FLARE OF A DME STAR, BD+20°2465, OBSERVED PHOTOELECTRICALLY

At the Ottawa meetings of the American Astronomical Society in June 1949, considerable interest was shown in the subject of sudden flare-ups of dwarf Me stars. Therefore, it seems worth while to present at this time a light-curve of an outburst in the dM4e star BD+20°2465 (a 10*14*2, 0+20° 22', 1900). This star was photoelectrically observed as a relatively bright example of a probable single dwarf Me star, in order to obtain comparative data to aid in the interpretation of the peculiar small variations resulting from the rotation of the eclipsing binary YY Geminorum (Castor C). On a current program of color and photometric measurements, BD-)-202465 was the first of the late-type dwarf emission stars in which we expected to find some small night-to-night variations. On the night of April 30, 1949, we first spent a few minutes making color observations and then started routine photoelectric measurements in the green at about k 5200. Within nine minutes it was obvious that we had observations of a rapid variation either of stellar radiation or of earthly clouds ; six more minutes definitely established the first possibility, and the light-curve in Figure 1 was obtained. Our standard observing technique unfortunately does not resolve such a rapid light-variation, but the individual deflections of the meter during ascent and descent yield a minimum rise of 0.4 mag. as shown in Figure 2. The highest point is derived from an estimate, which may be conservative, of the meter deflection that was off-scale. The time of this deflection is known to within ten seconds, as the amplifier sensitivity was then decreased and the work immediately resumed. The sharp beginning and ending of the primary outburst (points A and B in Figures 1 and 2) were surprisingly well defined. When the magnitude differences of the light-curve from B
Instrumentation and Observations of Gyro-Plasma Probe Installed on TAIYO for Measurement of Ionospheric Plasma Parameters and Low Energetic Particle Effects

The capacitance of a spherical probe immersed in the ionospheric plasma is measured by a radio frequency impedance measuring instrument, that is called a gyro-plasma probe installed on TAIYO (the satellite launched on Feb. 24, 1975). The operation of gyro-plasma probe installed on TAIYO is characterized by automatic detection of the resonance point by filtering out the disturbance noise; the filtering effect is emphasized shifting the characteristic frequency for the admittance measurement down into a range much lower than a disturbing noise frequency. To avoid unexpected noise disturbances the cutoff frequecy of the filter is switched automatically between two values such as 40Hz and 150Hz, respectively. The measured capacitance reveals a rapid variation in the region of the South Altantic anomaly. This rapid variation is attributed to the low energy particle precipitation that is characterized by the evidence that flux of one species of the particle precipitation exceeds the flux of the other species, i. e. , the ion flux exceeds the electron flux, and vice versa.
MIX-NET: Deep Learning-Based Point Cloud Processing Method for Segmentation and Occlusion Leaf Restoration of Seedlings

In this paper, a novel point cloud segmentation and completion framework is proposed to achieve high-quality leaf area measurement of melon seedlings. In particular, the input of our algorithm is the point cloud data collected by an Azure Kinect camera from the top view of the seedlings, and our method can enhance measurement accuracy from two aspects based on the acquired data. On the one hand, we propose a neighborhood space-constrained method to effectively filter out the hover points and outlier noise of the point cloud, which can enhance the quality of the point cloud data significantly. On the other hand, by leveraging the purely linear mixer mechanism, a new network named MIX-Net is developed to achieve segmentation and completion of the point cloud simultaneously. Different from previous methods that separate these two tasks, the proposed network can better balance these two tasks in a more definite and effective way, leading to satisfactory performance on these two tasks. The experimental results prove that our methods can outperform other competitors and provide more accurate measurement results. Specifically, for the seedling segmentation task, our method can obtain a 3.1% and 1.7% performance gain compared with PointNet++ and DGCNN, respectively. Meanwhile, the R2 of leaf area measurement improved from 0.87 to 0.93 and MSE decreased from 2.64 to 2.26 after leaf shading completion.
Identification of Key Components After Unintentional Failures for Cascading Failure Protection

Cascading failure can aggravate the vulnerability of power grids, which brings attention to cascading failure protection research. Existing works focus on either finding the critical components whose failure can cause large-scale blackouts or methods to mitigate failures after they have happened. However, they are not able to proactively protect against real-world failures, which may not only happen at the critical components. In this paper, we study the problem of finding components that will be impacted the most after unintentional initial failures, which suits the need for practical scenarios. The problem is challenging since approaches like simulating a large number of cascading failures cannot scale and they must be redone when power network parameters change. To tackle the problem, we derive a line importance metric based on all paths and illustrate how it is correlated with highly impacted lines after unintentional failure both intuitively and with an IEEE test case. Further, we design a path sampling algorithm to estimate the metric with provable guarantee and achieve scalability. We evaluate the performance of the proposed method within a protection scenario using various IEEE test cases and demonstrate its superiority against several baseline methods.