Miracle-dz/UniFAR-FTUs huggingface dataset:
Developing the Human Resources Talent of Small Medium Enterprises (SME) in Bandung City of Indonesia

Managing the talent of an organization's workforce effectively and efficiently, including developing and planning succession and employee self-development as much as possible, is the goal of talent management. One of the problems in the SME sector is that the utilization of talent has not been carried out optimally. The purpose of the study was to analyze the development of human resources (HR) in the SME sector in the city of Bandung. The research method used is descriptive qualitative and data collection through interviews and library studies. The study results show that talent management has become a basic need for SMEs so that they can and continue to grow in adapting to changes in the business environment. The utilization of information technology can be one of the talents that must be developed to operate competitively.
Chaotic mixing in an acoustically driven cavity flow

In this numerical study, we investigate the mixing properties of an acoustic driven ﬂow in a parallelepipedic cavity with square basis in view of applications in photovoltaic crystal growth conﬁgurations. A single acoustic source is used, but, relying on non-normal reﬂections, an acoustic beam with a square path is obtained, generating a global complex ﬂow in the cavity. Depending on the power of the source, the ﬂow ﬁeld may be steady, periodic in time, or chaotic. We restrict here on the steady and periodic cases and show that those ﬂow ﬁelds enable chaotic advection. In the case of oscillating periodic ﬂow ﬁelds, the chaotic region invades the whole cavity, as shown by numerical simulations of Poincaré sections and animations of mixing. This illustrates that acoustic streaming at moderate powers can be used successfully as a nonintrusive tool to mix efﬁciently.
Monitoring the Water Mass Balance Variability of Small Shallow Lakes by an ERA5-Land Reanalysis and Water Level Measurement-Based Model. An Application to the Trasimeno Lake, Italy

Climate change has a strong impact on inland water bodies such as lakes. This means that the increase in lake temperature recorded in recent decades-in Europe as well-can change the evaporation regime of the lakes. This, together with the variation of the water cycle, in particular precipitation, implies that the water mass balance of lakes may vary due to climate change. Water mass balance modeling is therefore of paramount importance to monitor lakes in the context of global warming. Although many studies have focused on such a modeling, there is no shared approach that can be used for any lake across the globe, irrespective of the size. This becomes even more problematic for shallow and small lakes, for which few studies exist. For this reason, in this paper the use of reanalysis data, in particular ERA5-Land provided by the European Centre for Medium-Range Weather Forecasts (ECMWF), is proposed for the mass balance modeling. In fact, ERA5-Land has a global coverage and it is the only data source comprising a specific model for lakes, the Fresh-water Lake model (FLake). The chosen case study is the Trasimeno lake, a small and shallow lake located in Central Italy. The use of the reanalysis was preceded by data validation by considering both ground-based and satellite observations. The results show that there is a good agreement between the observed monthly variation of the lake level, ΔH, and the corresponding values of the water storage, δ, computed by means of the ERA5-Land data (Pearson coefficient larger than 70%). Discrepancies between observations and the ERA5-Land data happen in periods characterized in Europe by an extreme climate anomaly. This promising result encourages the use of ERA5-Land for other lakes.
The shape of trees: Reimagining forest ecology in three dimensions with remote sensing

How ecologists think about above‐ground forest structure and dynamics is fundamentally shaped by the data we can collect. This has historically been limited to what is possible with simple equipment such as a tape measure, which has often led to the three‐dimensional complexity of the form of trees being reduced to the diameter of a trunk, and perhaps the height of the tree. While simple and pragmatic, this trunk‐centric framework has some obvious limitations, as many of the major processes that influence how trees grow and interact with one another happen up in the canopy. For instance, the structural complexity of individual trees' leaf and branch arrangements and how trees fill canopy space are direct drivers of individual tree and whole‐forest productivity and dynamics, but remain poorly studied because they have traditionally been challenging to measure. However, recent advances in remote sensing and data processing are revolutionising our ability to accurately measure tree and forest structure from leaves to landscapes. Not only do we have access to more accurate data on structure, but we also have data spanning a much broader range of spatial, temporal and ecological scales, and new avenues of research that challenge how we understand forests are emerging. Synthesis. Here, we review the new opportunities these technologies bring us to measure the physical structure of trees and highlight the technological developments needed to maximise their value to the field of forest ecology. Today, perhaps for the first time, how ecologists choose to study above‐ground forest structure and dynamics is limited more by creativity than by what we can measure.
Amplitude Dependence of Nonlinear Precipitation Blocking of Relativistic Electrons by Large Amplitude EMIC Waves

Recent work has shown that ElectroMagnetic Ion Cyclotron (EMIC) waves tend to occur in four distinct regions, each having their own characteristics and morphology. Here, we use nonlinear test‐particle simulations to examine the range of energetic electron scattering responses to two EMIC wave groups that occur at low L‐shells and overlap the outer radiation belt electrons. The first group consists of low‐density, H‐band region b waves, and the second group consists of high‐density, He‐band region c waves. Results show that while low‐density EMIC waves cannot precipitate electrons below ∼16 MeV, the high density EMIC waves drive a range of linear and nonlinear behaviors including phase bunching and trapping. In particular, a nonlinear force bunching effect can rapidly advect electrons at low pitch‐angles near the minimum resonant energy to larger pitch angles, effectively blocking precipitation and loss. This effect contradicts conventional expectations and may have profound implication for observational campaigns.
UKF-based MEMS micromirror angle estimation for LiDAR

Azimuth and distance measurement are two key technologies of MEMS LIDAR. In order to improve the accuracy of (micro-electronical mechanical system scanning mirror) MEMS-SM angle measurement, this paper proposes an angle estimation algorithm based on unscented Kalman filter (UKF), which can reduce the sensor noise by using the motion model of MEMS-SM. First, the angle measurement is given by the built-in angle sensor or transfer function model of MEMS-SM. Secondly, the dynamic model is established according to the Lissajous scanning mode of MEMS-SM. Then the UKF algorithm can be presented, including the measurement equation and the state equation, where the nonlinear equation is the inverse trigonometric function. Finally, Laser Doppler Velocimeter was adopted as a standard instrument to verify the accuracy of the proposed algorithm. The results showed that the UKF angle estimation algorithm based on MEMS-SM dynamic model improved the accuracy of the built-in sensor’s angle measurement by 5–10 times. And this method is suitable for LIDAR of different scanners’ types and different scanning modes, which can meet the demand of imaging MEMS LIDAR for the accuracy and stability of angle measurement.
Repeated Sub-Concussive Impacts and the Negative Effects of Contact Sports on Cognition and Brain Integrity

Sports are yielding a wealth of benefits for cardiovascular fitness, for psychological resilience, and for cognition. The amount of practice, and the type of practiced sports, are of importance to obtain these benefits and avoid any side effects. This is especially important in the context of contact sports. Contact sports are not only known to be a major source of injuries of the musculoskeletal apparatus, they are also significantly related to concussion and sub-concussion. Sub-concussive head impacts accumulate throughout the active sports career, and thus can cause measurable deficits and changes to brain health. Emerging research in the area of cumulative sub-concussions in contact sports has revealed several associated markers of brain injury. For example, recent studies discovered that repeated headers in soccer not only cause measurable signs of cognitive impairment but are also related to a prolonged cortical silent period in transcranial magnetic stimulation measurements. Other cognitive and neuroimaging biomarkers are also pointing to adverse effects of heading. A range of fluid biomarkers completes the picture of cumulating effects of sub-concussive impacts. Those accumulating effects can cause significant cognitive impairment later in life of active contact sportswomen and men. The aim of this review is to highlight the current scientific evidence on the effects of repeated sub-concussive head impacts on contact sports athletes’ brains, identify the areas in need of further investigation, highlight the potential of advanced neuroscientific methods, and comment on the steps governing bodies have made to address this issue. We conclude that there are indeed neural and biofluid markers that can help better understand the effects of repeated sub-concussive head impacts and that some aspects of contact sports should be redefined, especially in situations where sub-concussive impacts and concussions can be minimized.
A Multiple Mediational Meta-Analysis of the Influence of Proactive Personality on Subjective Career Success at the Career Exploration Stage

Drawing on the career construction theory model of adaptation, this meta-analytic structural equation modeling (MASEM) examines the effects of proactive personality on the subjective career success of adolescents and emerging adults. We identified 46 studies that covered 52 independent samples and 24,092 participants through literature retrieval. Based on these studies, we created an integrative model linking proactive personality with career adaptability, student career construction, and subjective career success. The results of the meta-analysis showed that all bivariate relationships among proactive personality, career adaptability, student career construction, and subjective career success were significantly positive. The results of the MASEM indicated that career adaptability intervened in the relationship between proactive personality and subjective career success, but student career construction, as a suppressor, carried out the negative association between proactive personality, career adaptability and subjective career success in the sequence of adaptation. We also discuss the research implications and provide directions for future research.
The Current Status, Bioactivity, Food, and Pharmaceutical Approaches of Calocybe indica: A Review

Over the past few years, mushrooms have been extensively explored in the field of pharmaceutical and food science, and researchers are heading toward the search for vital components with a higher safety margin and multitarget applications. Moreover, among all age group populations, mushroom consumption has increased immensely owing to their great nutritional aspects, desirable organoleptic properties, and aroma. In addition, mushrooms continue to generate much attention chiefly in their consumption as food, as a cure for different ailments, as well as a vital commodity globally, owing to their dietary, antioxidant, and therapeutic values. Mushrooms are considered one of the important and suitable diets for patients having multiple types of diseases. Additionally, due to potential immunomodulatory effects, quality protein, and low fat, and cholesterol content, mushrooms are used as an important ingredient for food formulation. Therefore, this review article provides detailed information on Calocybe indica as they are the third most important commercially grown mushroom following button and oyster mushrooms. This review brings tangible evidence that milky white mushrooms are a great source of natural components and antioxidants with potential application in pharmaceuticals and in treating and managing different diseases. Several food applications of milky white mushrooms have also been discussed and reviewed.
Analisis Peran Pola Asuh Orangtua Terhadap Motivasi Belajar Anak

Penelitian ini bertujuan untuk mengetahui pola asuh orang tua dalam memotivasi belajar anak, dengan rumusan masalah peran pola asuh orang tua terhadap anak dalam meningkatkan motivasi belajar. Penelitian ini menggunakan metode deskriptif kualitatif sebagai tahapan dalam melaksanakan penelitian. Penelitian ini akan dilaksanakan dengan mengambil subjek orang tua dan siswa sebagai subjek penelitian. Penelitian ini menggunakan teknik pengumpulan data meliputi tahap observasi, wawancara, dan dokumentasi. Analisis data yang digunakan merupakan analisis data deskriptif kualitatif. Hasil penelitian menunjukkan bahwa kebanyakan orangtua menerapkan jenis pola asuh demokratis, dengan menerapkan kebiasaan disiplin belajar, mandiri, dan taat beribadah mampu memberikan peran untuk anak terutama dalam motivasi belajar. Pola asuh yang diterapkan kepada anak dan mampu membuat motivasi belajar anak sehingga mendapatkan hasil belajar yang maksimal. Pola asuh demokratis juga dapat membentuk karakter berupa kedisiplinan, kemandirian, religius, dan komunikatif.
A Picture’s Worth a Thousand Words: Using Depicted Movement in Picture-Based Ads to Increase Narrative Transportation

Abstract Storytelling is a common tactic used by marketers to connect with consumers and persuade through narrative transportation. While researchers have explored how narrative transportation can be generated through many different mediums, little research has investigated how narrative transportation can be achieved through a single image, such as those used for print ads and billboards. This research examines how single-image, picture-based ads with high levels of depicted movement can prompt consumers to empathize with characters in the ad, activate their imagination, and experience narrative transportation leading to more positive attitudes toward that ad. In addition, when ads incorporate a design tactic that requires inductive inference, such as showing products as humanized, narrative transportation can be generated even in the absence of depicted movement. This research adds to the narrative transportation literature by providing depicted movement and humanization as specific tactics advertisers can use in a single image to persuade through narrative transportation.
Ga-68-PSMA-11 PET/CT in Patients with Biochemical Recurrence of Prostate Cancer after Primary Treatment with Curative Intent—Impact of Delayed Imaging

Abstract: Background The presence of prostate-specific membrane antigen (PSMA) on prostate cancer cells and its metastases allows its use in diagnostics using PET/CT. The aim of this study was to evaluate the usefulness of delayed phase images in the Ga-68-PSMA-11 PET/CT. Methods: 108 patients with prostate cancer (median age: 68.5 years, range: 49–83) were referred for Ga-68-PSMA-11 PET/CT due to biochemical relapse (PSA (prostate-specific antigen) (3.2 ± 5.4 ng/mL). Examinations were performed at 60 min, with an additional delayed phase of the pelvis region at 120–180 min. Results: The Ga-68-PSMA-11 PET/CT showed lesions in 86/108 (80%) patients; detection rate depending on the PSA level: 0.2 < PSA < 0.5 ng/mL vs. 0.5 ≤ PSA < 1.0 ng/mL vs. 1.0 ≤ PSA < 2.0 ng/mL vs. PSA ≥ 2.0 ng/mL was 56% (standard vs. delay: 56 vs. 56%) vs. 60% (52 vs. 60%) vs. 87% (83 vs. 87%) vs. 82% (77 vs. 82%) of patients, respectively. The delayed phase had an impact on the treatment in 14/86 patients (16%) (p < 0.05): 7 pts increased uptake was seen only after 60 min, which was interpreted as physiological or inflammatory accumulation; the delayed image showed increased accumulation in 7 patients only: 4 in regional lymph nodes, 1 in local recurrence, and 2 patients with local recurrence showed additional foci. Conclusions: Delayed phase of Ga-68-PSMA-11 PET/CT has an impact on treatment management in 16% of patients.
Evaluating the Prevalence and Predictors of Moderate to Severe Depression in Fort McMurray, Canada during the COVID-19 Pandemic

Background: The Coronavirus disease (COVID-19) pandemic has produced adverse health consequences, including mental health consequences. Studies indicate that residents of Fort McMurray, a community which has experienced trauma from flooding and wildfires in the past, may be more vulnerable to the mental health effects of the pandemic. Objective: This study aimed to examine the prevalence and predictors of likely Major Depressive Disorder (MDD) among residents of Fort McMurray during the COVID-19 pandemic. Methods: A cross-sectional approach was adopted utilizing an online survey questionnaire to gather sociodemographic data, COVID-19 related data, and clinical information, including likely MDD using the Patient Health Questionnaire (PHQ-9) scale, from the residents of Fort McMurray between the period of 24 April to 2 June 2021. Results: Overall, 186 individuals completed the survey out of 249 residents who accessed the online survey, yielding a completion rate of 74.7%. The prevalence of likely MDD among respondents was 45%. Respondents willing to receive mental health counselling were five times more likely to experience MDD during the COVID-19 pandemic (OR = 5.48; 95% CI: 1.95–15.40). Respondents with a history of depression were nearly five folds more likely to report MDD during the era of the pandemic than residents without a history of depression (OR = 4.64; 95% CI: 1.49–14.44). Similarly, respondents with a history of taking hypnotics (sleeping tablets) were nearly six-fold more likely to express MDD than respondents with no history of receiving sleeping tablets (OR = 5.72; 95% CI: 1.08–30.30). Finally, respondents who reported receiving only partial support from the employer had three times higher odds of having likely MDD than those who received absolute support from the employer (OR = 3.50; 95% CI: 1.24–9.82). Conclusion: In addition to the effect of the pandemic and other measures taken to curb the psychopathological impact of the pandemic, policymakers need to implement policies to manage individuals with preexisting mental health conditions and provide strong employer support.
The Determinants of Competitiveness in Global Palm Oil Trade

Palm oil is an essential commodity used in the manufacture of various daily products and is highly competitive with vegetable oil. However, the palm oil competition is fierce and complex due to movement of palm oil trade. The study examined the determinant, stability, and duration of competitiveness in the global palm oil trade involving countries worldwide. This research was analyzed from 1996 to 2019 using descriptive analysis, panel regression, stability, and Kaplan–Meier tests. The results showed that palm oil supply in the global market is centralized with distributed demand. The competitiveness of palm oil based on revealed symmetric comparative advantage (RSCA) and trade balance index (TBI) is similar to its suppliers globally. The positive factors that determine the competitiveness in the global palm oil trade are population and import of animal or vegetable fats and oils. GDP per capita and dummy RSPO negatively affect competitiveness. The stability and duration analysis showed that the global palm oil market is highly competitive.
Do Dogs Know Bifurcations?

Tim Pennings (pennings@hope.edu) is Professor of Mathematics at Hope College in Holland, Michigan. His research, done collaboratively with undergraduate students, is in dynamical systems and modeling. He also directs the Hope College NSF-REU Mathematics Summer Research Program. Other reasons for living include ultimate frisbee, racquetball, nature photography, choral music, folk song guitar gigs, and playing with Elvis on the beach.
Effect of elevated CO2 and temperature on maize resistance against the Asian corn borer

The increasing atmospheric CO2 concentration and temperature has altered the plant‐insect interactions. However, little is known about the intrinsic mechanisms between plant resistance and insect survival strategies under the combined conditions of elevated CO2 and temperature. This study investigated the effects of elevated temperature alone and in combination with CO2 enrichment on the nutrition and resistance of maize (Zea mays L.) to the Asian corn borer (ACB) (Ostrinia furnacalis [Guenée]) and feeding, survival, and physiological response of ACB over 2‐year growing seasons. The maize plants were grown in free‐air CO2 enrichment connected by infrared heating system with the ambient (control), ~4.0°C increase in air temperature (ET) and ET together with ~700 ppm concentration of atmospheric CO2 (ETEC). Elevated CO2 alleviated the effect of ET on total non‐structural carbohydrates (TNC)/N in maize, and thus ETEC did not change this parameter. ETEC enhanced the defensive enzyme activities in maize. Elevated CO2 enhanced the ET effect on increased total phenolics content in maize. ET and ETEC increased the expression levels of the jasmonic acid (JA) defence‐related genes and JA content in maize. Above insect resistance‐related secondary metabolism in maize was enhanced by ACB damage. Except for amylase, ET and ETEC had no effect on the digestive enzyme activities and food intake of ACB, but enhanced its protective enzyme activities. ET and ETEC decreased the survival rate, overwintering larval body weight and fecundity, increased supercooling point of ACB fed on maize. These findings demonstrate that the combination of elevated temperature and CO2 did not influence the nutritional metabolism, but enhanced insect resistance‐related secondary metabolism of maize, which could alleviate the occurrence and damage of ACB in maize under the context of future climate change scenarios.