Miracle-dz/UniFAR-FTUs huggingface dataset:
Can older teachers better handle crises? Overload feelings and work seepage into the private space during the COVID-19 pandemic

ABSTRACT The study examines the teachers’ sense of overload and breaching the boundaries protecting their personal time during the COVID-19 crisis. The article explains the work-life conflict that teachers from all educational settings have encountered and the blurring of boundaries experienced as a result of ICT leakage into their personal space. Using a mixed-method in which 17 teachers participated in the qualitative part and 701 in the quantitative part, teachers revealed difficulties and aspects of their efforts to cope with imposed change. The findings suggest that older teachers were more successful than their younger counterparts in coping with the ongoing crisis.
College Students’ Academic Procrastination during the Covid-19 Pandemic: Focusing on Academic Achievement

Abstract: This research aims to describe the level of college students’ academic procrastination, analyze differences in academic procrastination among the college students, and analyze the relationship between academic procrastination and academic achievement. This research uses a quantitative method with a survey and correlational design. The research population is 620 Sekolah Tinggi Keguruan dan Ilmu Pendidikan Singkawang (STKIP) Singkawang college students. The sample is taken using a simple random sampling technique as many as 352 college students (76 male and 276 female). The instrument used in data collection is the academic procrastination scale and great point academic. The data are analyzed using descriptive analysis, ANOVA, and correlation. The findings show that college students’ academic procrastination is at a moderate level which is dominated by time management skill indicators. Male students and students who are in the middle years have higher levels of academic procrastination. Intercorrelation shows a significant but negative relationship between academic procrastination and academic achievement.Abstrak: Tujuan penelitian ini adalah mendeskripsikan tingkat prokrastinasi akademik mahasiswa, menganalisis perbedaan prokrastinasi akademik mahasiswa, dan menganalisis hubungan antara prokrastinasi akademik dengan prestasi akademik mahasiswa. Penelitian ini menggunakan metode kuantitatif dengan desain survei dan korelasi. Populasi penelitian adalah 620 mahasiswa STKIP Singkawang. Sampel diambil dengan teknik simple random sampling sebanyak 352 mahasiswa (76 laki-laki dan 276 perempuan). Instrumen yang digunakan dalam pengumpulan data adalah skala prokrastinasi akademik dan indeks prestasi akademik. Data dianalisis menggunakan analisis deskriptif, ANOVA, dan korelasi. Hasil penelitian menunjukkan bahwa prokrastinasi akademik mahasiswa berada pada tingkat sedang yang didominasi oleh indikator keterampilan mengatur waktu. Mahasiswa laki-laki dan mahasiswa yang berada di tahun pertengahan memiliki tingkat prokrastinasi akademik yang lebih tinggi. Interkorelasi menunjukkan adanya hubungan negatif yang signifikan antara prokrastinasi akademik dengan prestasi akademik.
A Systematic Review of Echo State Networks From Design to Application

A recurrent neural network (RNN) has demonstrated its outstanding ability in sequence tasks and has achieved state of the art in many applications, such as industrial and medical. An echo state network (ESN) is a simple type of RNN and has emerged in the last decade as an alternative to gradient descent training-based RNN. The ESN is practical, conceptually simple, and easy to implement with a strong theoretical ground. It can avoid nonconverging and computationally expensive issues in gradient descent RNN methods. Since the ESN was put forward in 2002, abundant existing works have promoted the progress of ESN, and the recently introduced deep ESN opened the way to uniting the merits of deep learning and reservoir computing. Besides, the combinations of ESNs with other machine learning models have also overperformed baselines in some applications. However, the apparent simplicity of ESNs can sometimes be deceptive. Successfully applying ESNs needs some experience. Thus, we reviewed over 300 related papers and provided a systematic overview for the first time. In this article, we categorize the related methods into classical ESN, DeepESN, and combination. Then, we analyze them from the perspective of network designs and specific applications. Finally, we discuss the challenges and opportunities by proposing open problems and future work.
H I in the giant elliptical galaxy NGC 4406

The Arecibo 305-m radio telescope was used to make 21-cm measurements of NGC 4406, an elliptical galaxy containing 10 to the 10th solar mass of hot diffuse gas. The H I decreases by a factor of 3 one beamwidth from the center and by an order of magnitude two beam widths from the center. Excess H I emission is seen in the X-ray tail, but not in dust-rich regions. The H I measurements do not support the suggestion that the X-ray tail is hot gas being stripped from the galaxy.
Tsunami risk perception, a state-of-the-art review with a focus in the NEAM region

Large-scale coastal urban sprawl, development of tourist accommodations and industrial maritime poles have highly increased the tsunami risk to people living and/or traveling along the coasts of our planet. The disastrous tsunamis in the Indian Ocean (2004) and in the Pacific Ocean (2011), as well as a suite of other damaging events worldwide, have encouraged International Institutions, first of all UNESCO Intergovernmental Oceanographic Commission, National Governments and Local Communities to implement Tsunami Warning Systems (TWS), to raise awareness on tsunami risk, and to create a multilevel risk governance. In this framework, research on tsunami risk perception plays a key role. The results of these studies should be taken into account in designing risk mitigation programs and tools (such as drills, activities with local communities, emergency plans, etc.). This paper presents a review of such studies, carried out in several countries worldwide through many thousands of interviews performed with different techniques. Most tsunami risk perception studies were carried out in the regions where the Indian Ocean Tsunami Warning System and the Pacific Ocean one (PTWS) operate. In the NEAMTWS (North-East Atlantic, Mediterranean and connected seas Tsunami Warning Systems) region, only few specific studies were conducted, mostly within the EU-funded ASTARTE project (2013–2017) and more recently in a few extensive surveys on tsunami risk perception conducted in Italy between 2019 and 2021. Although the twenty-three studies analyzed in our review show a strong heterogeneity of methodological approaches and population samples, they allow us to outline some general considerations on tsunami risk as perceived by people in the different regions of the world. With the help of a table, we schematically summarized the emerging strengths, weaknesses and lessons learned in the twenty-three papers, noting an increase in the number of such studies in the last 5 years. The surveys were mostly concentrated in high-risk areas and focused on local residents. Some differences emerged depending on the memory of past tsunamis, education level, and local cultures. This provides useful hints for sound citizen-based tsunami risk reduction actions, including improved risk communication aimed at increasing the resilience of tsunami-prone populations. The need for increasing the assessment of tourists’ tsunami risk perception, and for a more homogeneous survey strategy also emerge from our analysis.
Fibroblasts and macrophages cooperate to create a pro-tumorigenic and immune resistant environment via activation of TGF-β/IL-6 pathway in neuroblastoma

ABSTRACT Tumor-associated macrophages (TAM) and cancer-associated fibroblasts (CAF) and their precursor mesenchymal stromal cells (MSC) are often detected together in tumors, but how they cooperate is not well understood. Here, we show that TAM and CAF are the most abundant nonmalignant cells and are present together in untreated human neuroblastoma (NB) tumors that are also poorly infiltrated with T and natural killer (NK) cells. We then show that MSC and CAF-MSC harvested from NB tumors protected human monocytes (MN) from spontaneous apoptosis in an interleukin (IL)-6 dependent mechanism. The interactions of MN and MSC with NB cells resulted in a significant induction or increase in the expression of several pro-tumorigenic cytokines/chemokines (TGF-β1, MCP-1, IL-6, IL-8, and IL-4) but not of anti-tumorigenic cytokines (TNF-α, IL-12) by MN or MSC, while also inducing cytokine expression in quiescent NB cells. We then identified a TGF-β1/IL-6 pathway where TGF-β1 stimulated the expression of IL-6 in NB cells and MSC, promoting TAM survival. Evidence for the contribution of TAM and MSC to the activation of this pathway was then provided in xenotransplanted NB tumors and patients with primary tumors by demonstrating a direct correlation between the presence of CAF and p-SMAD2 and p-STAT3. The data highlight a new mechanism of interaction between TAM and CAF supporting their pro-tumorigenic function in cancer.
One-Dimensional Time-Dependent Modeling of GATE Cumulonimbus Convection

Abstract A one-dimensional time-dependent cumulonimbus model is designed that, unlike in previous one-dimensional models, simulates cloud-top heights, vertical velocities, and water contents that are reasonably consistent with those observed in real convective cores. The model successfully simulates deep tropical oceanic cumulonimbus with results that are in agreement with aircraft observations of vertical velocity, observations of radar reflectivity, and three-dimensional model simulations. These results are achieved by improving the parameterizations of the following physical processes: vertical mixing through the inclusion of an overturning thermal circulation near cloud top, lateral entrainment by modifying the assumed shape of the cloud, initiating convection with sustained boundary-layer forcing that resembles the lifting by gust fronts associated with tropical oceanic cumulonimbus, and making the pressure perturbation internally consistent with the horizontal distribution of vertical velocity in th.
Kearifan Ekologis dalam Cerita Rakyat Kalimantan Tengah: Kajian Ekokritik

This article discusses the relationship between folklore originating from Central Kalimantan and the natural surroundings. Taking the object of two folklores entitled “Legenda Batu Bagaung” and “Dohong dan Tingang”. The article will question how the influence of this folklore in Central Kalimantan. The theory used is the ecocriticism theory by Endraswara. This theory examines how the narrative in the story will be relevant to the living environment in the area where the folklores originate. This article also uses ecocriticism as a method. Through this method, the author will discuss the relationship between folklore in Central Kalimantan and the natural surroundings. From the question and theory presented, the writer concludes that “Legenda Batu Bagaung” and “Dohong dan Tingang” as folklores have a position as a reminder for people to always protect their nature. In addition, these folklores are also considered to have no influence at all on the local community where the narrative of reminders to protect nature is ultimately ignored.AbstrakArtikel ini membahas hubungan cerita rakyat yang berasal dari Kalimantan Tengah dengan alam sekitar. Mengambil objek dari dua cerita rakyat dengan judul “Legenda Batu Bagaung” and “Dohong dan Tingang”, artikel ini mempertanyakan bagaimana pengaruh cerita rakyat tersebut terhadap daerah di Kalimantan Tengah. Teori yang digunakan adalah teori ekokritik sastra yang diusung oleh Endraswara. Teori itu mengulas bagaimana narasi dalam cerita akan relevan dengan lingkungan hidup yang ada di daerah tempat cerita rakyat berasal. Artikel ini juga menggunakan metode ekokritik. Melalui metode ini, peneliti akan membahas hubungan antara cerita rakyat di Kalimantan Tengah dan alam sekitar. Dari pertanyaan dan teori yang dipaparkan, penulis menyimpulkan bahwa “Legenda Batu Bagaung” dan “Dohong dan Tingang” sebagai cerita rakyat mempunyai posisi sebagai pengingat warga agar selalu menjaga alamnya. Di samping itu, cerita rakyat itu juga dianggap tidak mempunyai pengaruh sama sekali terhadap masyarakat lokal ketika narasi pengingat untuk menjaga alam pada akhirnya juga diabaikan.
Digital Quantification of Intratumoral CD8+ T-Cells Predicts Relapse and Unfavorable Outcome in Uveal Melanoma

Simple Summary In this study, we used digital pathology and image analysis for the prediction of the prognosis in uveal melanoma (UM). We retrospectively evaluated a total of 404 histopathological slides of 101 patients. Immune biomarkers for CD4, CD8, CD68, and CD163 were performed and evaluated by digital image acquisition and quantitative analysis. Our results showed that a higher intratumoral CD8 positive cell density imposed a negative impact on RFS and OS. Our study also showed that older age and stage III were independent negative prognostic factors for both RFS and OS. Our results demonstrate that a specific distribution profile of CD8 may imply a higher risk of relapse and death in UMs, and further studies could elaborate specific subgroups that are amenable to various treatment regimens. Abstract Although it is a disease that occurs mainly in the Caucasian population, uveal melanoma (UM) is the most common primary intraocular tumor in adults. Here, we used digital pathology and image analysis for the diagnosis of UM and the prediction of the prognosis. Our retrospective study included a total of 404 histopathological slides from 101 patients. A digital image acquisition and quantitative analysis of tissue immune biomarkers (CD4, CD8, CD68, CD163) were performed. A negative impact of the intratumoral CD8 positive cell density higher than 13.3 cells/mm2 was detected for both RFS (HR 2.08, 95% Cl 1.09 to 3.99, p = 0.027) and OS (HR 3.30, 95% CI 1.58 to 6.88, p = 0.001). Moreover, we confirmed that older age and stage III were independent negative prognostic factors for both RFS and OS. Our results suggest that a specific distribution profile of CD8 in UM might predict the risk of relapse and death, with potential implications for determining which subgroups of UMs are amenable to specific pharmacological treatment regimens.
Detection of shear wave in ultrasonic range by using a laser Doppler vibrometer

A laser Doppler vibrometer is used to measure shear waves propagating through solids in the ultrasonic frequency range. The laser Doppler vibrometer detects translational motion of small spherical lenses mounted on a solid surface. Stacking of wave-form signals increases the signal-to-noise ratio. Wave motion on a solid surface can be obtained from the surface vibrations measured at different incident angles of a laser beam. The observed longitudinal and shear wave amplitudes from a thickness-dilation-mode transducer agreed fairly well with the calculated amplitudes modeled by a piston force source.
The Effectiveness of Click and Clunk Strategy on the Students’ Reading Achievement

The goal of this study is to determine how well the Click & Clunk approach works in improving students' reading comprehension. In this study, non-randomized pretests and posttests were used in a quasi-experimental setting utilizing quantitative methodologies. Students from SMPN 1 Kanigoro served as the study's subjects, with Class 7H serving as the control group and Class 7I serving as the experimental group. Reading assessments served as the research's tools (pretest and posttest). The control group class, on the other hand, was taught using the KWL method. The experimental group class was taught utilizing the Click & Clunk method. A posttest was then provided to both groups. The data was generated by SPSS Version 20 and then analyzed using ANCOVA. The analysis's findings suggested that the Click and Clunk Strategy could raise children' reading proficiency.
An Analysis of Numerical Errors in Large-Eddy Simulations of Turbulence

The reliability of numerical simulations of turbulence depend on our ability to quantify and control discretization errors. In the classical literature on error analysis, typically, simple linear equations are studied. Estimates of errors derived from such analyses depend on the assumption that each dependent variable can be characterized by a unique amplitude and scale of spatial variation that can be normalized to unity. This assumption is not valid for strongly nonlinear problems, such as turbulence, where nonlinear interactions rapidly redistribute energy resulting in the appearance of a broad continuous spectrum of amplitudes. In such situations, the numerical error as well as the subgrid model can change with grid spacing in a complicated manner that cannot be inferred from the results of classical error analysis. In this paper, a formalism for analyzing errors in such nonlinear problems is developed in the context of finite difference approximations for the Navier? Stokes equations when the flow is fully turbulent. Analytical expressions for the power spectra of these errors are derived by exploiting the joint-normal approximation for turbulent velocity fields. These results are applied to large-eddy simulation of turbulence to obtain quantitative bounds on the magnitude of numerical errors. An assessment of the significance of these errors in made by comparing their magnitudes with that of the nonlinear and subgrid terms. One method of controlling the errors is suggested and its effectiveness evaluated through quantitative measures. Although explicit evaluations are presented only for large-eddy simulation, the expressions derived for the power spectra of errors are applicable to direct numerical simulation as well.
Nosocomial outbreak of vancomycin-resistant Enterococcus faecium (VRE) ST796, Switzerland, 2017 to 2020

A large clonal outbreak caused by vancomycin-resistant Enterococcus faecium (VRE) affected the Bern University Hospital group from the end of December 2017 until July 2020. We describe the characteristics of the outbreak and the bundle of infection prevention and control (IPC) measures implemented. The outbreak was first recognised when two concomitant cases of VRE bloodstream infection were identified on the oncology ward. During 32 months, 518 patients in the 1,300-bed hospital group were identified as vanB VRE carriers. Eighteen (3.5%) patients developed an invasive infection, of whom seven had bacteraemia. In 2018, a subset of 328 isolates were analysed by whole genome sequencing, 312 of which were identified as sequence type (ST) 796. The initial IPC measures were implemented with a focus on the affected wards. However, in June 2018, ST796 caused another increase in cases, and the management strategy was intensified and escalated to a hospital-wide level. The clinical impact of this large nosocomial VRE outbreak with the emergent clone ST796 was modest. A hospital-wide approach with a multimodal IPC bundle was successful against this highly transmissible strain.
An Orbital-Angular-Momentum- and Wavelength-Tunable 2 μm Vortex Laser

In this paper, dual tuning of orbital angular momentum (OAM) and the wavelength of a Tm:YLF vortex laser was realized by off-axis pumping and F-P etalon. The tuning of Hermite–Gaussian (HG) modes by off-axis pumping was theoretically analyzed. In the experiment, the highest 17th order HG17,0 mode was realized by off-axis pumping. The threshold power increased from 2 to 17.51 W with the increase in off-axis distance, and the curve of threshold power vs. off-axis distance was partially consistent with the theoretical simulation analysis. The Laguerre–Gaussian (LG) modes carrying OAM were produced by mode converter, and the beam quality of LG modes was good. The phase distribution of the LG modes was verified by interference. Subsequently, an F-P etalon was inserted into the resonant cavity to tune the wavelength. Finally, the OAM tuning of the vortex beam from LG1,0(OAM = −1ℏ) to LG16,0(OAM = −16ℏ) was realized, and the corresponding wavelength tuning range was from 1898–1943 nm to 1898–1937 nm.
A method to control the fabrication of etched optical fiber probes with nanometric tips

Optical fiber probes with small size tips have attracted much interest in the areas of biosensor and near-field scanning optical microscopy. Chemical etching is a common useful method to fabricate such probes. But it is difficult to study or determine the etching time and control the shape of the fiber during the etching. In this work, a new method combining a fiber optic spectrometer with static chemical etching has been developed to fabricate optical fiber probe nanotips, where the fiber optic spectrometer is used to measure the optical signal during the etching. By calculating and analyzing the testing data, the relationship between the apex angle and the optical signal can be obtained. Accordingly, the process of fabricating optical fibers based on the optical signal can be controlled.
Development of Knowledge-Based Artificial Neural Networks for Analysis of PSIJ in CMOS Inverter Circuits

In this article, a knowledge-based artificial neural network (ANN) is developed for predicting jitter in CMOS inverter circuits in the presence of power supply noise (PSN). The proposed ANN provides for efficient training in a hybrid approach using input data extracted from both analytical closed-form expressions and a circuit simulator. The proposed ANN demonstrates a reasonably accurate prediction of power supply-induced jitter (PSIJ) with results that closely match that from directly using a circuit simulator (HSPICE) for a case study with 22-nm CMOS technology.
Flexible strain sensor for air muscles using polypyrrole coated rubber

A novel flexible large strain sensor was developed to be use with an air muscle. A piece of butyl rubber was coated with the conducting polymer, polypyrrole through bulk solution and chemical vapour deposition method. The strain sensor was able to response to sudden movements represented by the multiple step functions of the applied strain. Consistency of the sensor's output was studied and the average error in the change of resistance was calculated to be 0.32% and 0.72% for elongation and contraction respectively for the sample made using chemical vapour deposition. However, a hysteresis was observed for this sample for a single cycle of elongation and contraction with the highest error calculated to be 3.2% at a 0% applied strain. SEM images showed the propagation of surface micro-cracks as the cause of the variation in surface resistance with applied strain. In addition, slower relaxation rate of the rubber prevented the surface micro-cracks to open and close at the same rate. The idea of utilizing conducting polymer coating can be applied to the inner rubber tube of the air muscle. As such, a complete integration between actuator and sensor can be realized.