Miracle-dz/UniFAR-FTUs huggingface dataset:
Study of Freeze-dried Chitosan Beads Encapsulating Live Lactic Acid Bacteria for Removal of Reactive Dyes ⋆

Water pollution by the discharge of dye residue has been polluting the planet for decades. Chitosan is one of the natural abundant biomasses that show excellent adsorption toward colorants. Nevertheless, sophisticated chemical modifications of chitosan are inevitable to enhance physical and chemical stabilities in practical applications. In the present study, simple freeze-drying has been adopted to chitosan (CHI) beads showing good stability at low levels of pH. The results show complete decolourisation of Reactive Blue 19 (RB19) within 2 hours at pH 3 and temperature of 37 ◦ C. The encapsulation of live bacterium Lactobacillus casei (L. casei) into chitosan beads for dyestuff removal is also evaluated. Kinetics studies show a faster initial rate of adsorption by L. casei-chitosan beads at pH 3 and temperature of 37 ◦ C. The adsorptions partially follow the intraparticle diffusion mechanism.
The Effects of Microgravity on Extrusion Based Additive Manufacturing

Made In Space, Inc. participated in four weeks of microgravity testing with NASA’s Flight Opportunities Program during the Fall of 2011 and Summer of 2013. The company tested the effects of microgravity on custom built and commercially available extrusion additive manufacturing machines, more commonly known as 3D printers. The testing took place on board a modified Boeing 727 aircraft flown by the Zero-G corporation, in conjunction with NASA’s Reduced Gravity Office and Flight Opportunities Program. The company has utilized the knowledge gained through this campaign on the project that will deliver the first 3D printer to the International Space Station (ISS). 3D printing in space is an enabling technology that is crucial to the exploration of space beyond the low Earth orbit environment. In order for 3D printing to finally be realized as a permanent fixture in space exploration, the behavior must be fully understood in microgravity. Various 3D printers were flown and tested, as well as multiple individual sub-components. With some modification to the key systems, Made In Space was able to demonstrate that additive manufacturing with extrusion-based machines functions similarly in microgravity as it does on the ground, allowing for a full proof of concept. The microgravity flights enabled the Technology Readiness Level (TRL) of the technology to be elevated to a TRL-6.
FeMIC: Multi-Operands in-Memory Computing Based on FeFETs

The “memory wall” bottleneck caused by the performance gap between processors and memories is getting worse. Computing-in-memory (CiM), a promising technology to alleviate the “memory wall” bottleneck, has recently attracted much attention. Conventional CiM architectures based on emerging nonvolatile devices have a major drawback that they need ${N\,-\,1}$ clock cycles to complete a CiM operation with ${N}$ operands, as they are natively designed for processing two operands. In this work, we propose FeMIC, a new CiM architecture based on ferroelectric field-effect transistors (FeFETs), which natively supports the computation of multiple operands. For a CiM operation with ${N}$ operands, FeMIC only needs $\left\lfloor {N/2} \right\rfloor$ clock cycles. The simulation results based on a calibrated FeFET model reveal that FeMIC can significantly reduce the energy consumption when processing multi-operand CiM operations, compared with state-of-the-arts that use conventional CiM mechanisms.
Design and Analysis of a Planar Piezo-Actuated Nanopositioner with Millimeter Scale Stroke

In recent years, Fast Tool Servo (FTS) mechanism in precision manufacturing equipment emerges as a promising application for the piezo-actuated flexible nanopositioner. A flexible nanopositioner with large stroke, high bandwidth, high precision and multi-Degrees-of-Freedom (multi-DOFs) is really desired for this application. In order to meet this requirement, a novel 2-DOF flexible nanopositioner consists of two pairs of differential lever displacement amplifiers (DLDA) is proposed in this paper first, also, kinetostatics modeling is conducted by using the Pseudo-Rigid Body (PRB) method. After a series of mechanism optimal designs, the performance of the designed nanopositioner is verified by using the Finite Element Analysis (FEA) method. A piezoelectric (PZT) actuator with 90 µm is selected in this simulation, the experimental results indicate that the mechanism workspace can achieve around 2.1×2.1 mm2, the bandwidth can reach up to around 136 Hz, while the cross-coupling is also kept with 1%. All the results consistently prove the proposed device possesses satisfactory performance for fulfilling the practical precision manufacturing tasks.
Removal of Microcystis aeruginosa cells using the dead cells of a marine filamentous bacterium, Aureispira sp. CCB-QB1

Inorganic and synthetic flocculants are widely investigated for removing harmful microalgae, such as Microcystis aeruginosa. However, their toxicity and non-biodegradability are shortcomings. Bioflocculants based on extracellular polysaccharides have attracted much attention as alternative flocculants. However, its high production cost is a limiting factor for applying bioflocculants. Here, we investigate the potential of the dead cells of a marine filamentous bacterium, Aureispira sp. CCB-QB1, as a novel flocculant on M. aeruginosa cells. The removal efficiency of M. aeruginosa cells by the dead cells was measured by mixing and shaking both components in a buffer with 5 mM CaCl2 in different incubation times and concentrations of the dead cells. After that, the minimum effective concentration of CaCl2 was determined. The combination effect of FeCl3 and the dead cells on the removal efficiency was tested. The structure of cell aggregates consisted of the dead cells and M. aeruginosa cells were also observed using a scanning electron microscope. The maximum removal efficiency (75.39%) was reached within 3 min in the presence of CaCl2 when 5 mg/ml of the dead cells (wet cells) were added. The optimal concentration of CaCl2 was 5 mM. The combination of the dead cells and a low concentration of FeCl3 (10 mg/L) with 5 mM of CaCl2 significantly improved the removal efficiency by about 1.2 times (P < 0.05). This result indicates that the combination usage of the dead cells can reduce the use of FeCl3. These results indicated that the dead cells could potentially be a novel biolfocculant to remove M. aeruginosa cells.
Sistem Pengamatan Suhu dan Kelembaban Pada Rumah Berbasis Mikrokontroller ATmega8

Abstrak— Dalam keseharian kita terkadang diperlukan pengukuran suhu maupun kelembaban lingkungan di sekitar kita. Banyak macam sensor untuk pengukuran suhu atau kelembaban, semisal LM35, S18S20 maupun DHT11. Untuk pengukuran suhu dan kelembaban lingkungan sekitar kita maka bisa dipilih sensor yang cukup murah yaitu DHT11. DHT11 memiliki output digital yang sudah terkalibrasi. Sensor ini terdiri dari komponen pengukur kelembaban tipe resistive dan pengukuran suhu melalui NTC serta terhubung dengan 8 bit uC sehingga memberikan hasil yang cukup baik, kecepatan respon yang cukup, memiliki ketahanan yang baik terhadap interferensi dan cukup murah dalam harga. Interface yang digunakan adalah single write serial interface yang cukup cepat dan mudah. Ukuran sensor yang kecil, kebutuhan komsumsi daya yang rendah dan mampu mentransmisikan outputnya dalam jarak 20 meter. Kelemahan dari sensor ini adalah akurasi yang kurang, selain itu range pengukuran suhunya hanya 0 sd 50 derajat Celcius tapi dengan harga yang cukup murah sensor ini bisa menjadi alternatif untuk dipakai dalam pengukuran suhu dan kelembaban yang tidak terlalu memerlukan akurasi yang bagus. Misalnya pengukuran suhu kamar, pengukuran suhu dan kelembaban mesin penetas dan lain-lain. Jika jarak sensor ke uC kurang dari 20 meter maka perlu dipasang resistor pull up 5K di pin data nya. Sedangkan jika jarak lebih dari 20 meter maka perlu disesuiakan besarnya resistor pull up tersebut. Catu daya yang diperlukan DHT11 ini berkisar 3.5V sampai 5V. Akses ke sensor hanya diperbolehkan lebih dari 1 detik setelah catu daya pertama kali diberikan. Perlu pula ditambhakan kapasitor 100nF diantara pin VCC dan GND untuk filter catu daya. Keywords— sensor, mikrokontroler, DHT11, ATmega8
Automated classification of retinal optical coherence tomography volumes based on RepVGG: Experimental validation for detection of dry age-related macular degeneration and diabetic macular edema

We introduce an algorithm for the automated classification of optical coherence tomography volumes based on the RepVGG artificial neural network. The algorithm is intended for the detection of dry age-related macular degeneration and diabetic macular edema from optical coherence tomography volumes. RepVGG is a simple yet powerful convolutional neural network that we use to classify optical coherence tomography volumes. Optical coherence tomography volumes from dry age-related macular degeneration, diabetic macular edema, and normal samples can be classified. We experimentally evaluated the effectiveness of the proposed algorithm on an optical coherence tomography dataset collected from 45 subjects (15 healthy subjects, 15 patients with dry age-related macular degeneration, and 15 patients with diabetic macular edema). The proposed algorithm correctly classified 73.3% of patients with dry age-related macular degeneration, 93.3% of patients with diabetic macular edema, and 86.7% of normal subjects. This algorithm may contribute to standardizing remote ophthalmic diagnosis of retinal diseases.
Does work-life balance and organizational justice affect female nurses’ performance in a pandemic era?

Nowadays, the study on antecedents of employee performance is of great importance. This paper aims to investigate the direct and indirect effects of female nurses’ performance antecedents, with organizational commitment as a mediating variable. The variables of work-life balance and organizational justice are also analyzed. The study was carried out at four government hospitals in the Indonesian province of Bali, with 285 female nurses as respondents. The paper employs total sampling as a sampling technique. SmartPLS software was used to perform data analysis using partial least squares. The findings show that various antecedents of female nurses’ performance have a significant positive effect. However, organizational justice has no significant effect. The results revealed a link between different female nurses’ performance antecedents. With a t-statistic value of 7.986, organizational commitment is more effective than the other antecedents. The results revealed a partially mediating effect of work-life balance with a t-statistic value of 3.493. In addition, the effect of organizational justice is fully mediated based on a t-statistic value of 5.097. This study suggested that female nurses’ pay should be calculated based on their workload and job risks.
Projeto de controlador robusto LQR VIA desigualdades matriciais lineares

: In this paper, a new approach with decay rate to the resolution of the linear quadratic regulator problem (LQR), based on linear matrix inequalities (LMIs) for continuous time-invariant systems is proposed. Such approach considers conditions for each polytope vertex ( Q i , R i ) , further to allow prioritize the performance of each vertex of the set of uncertainties. A set of weighting matrices for each vertex makes it possible to improve the dinamical behavior of the uncertain system and/or the control signal. The validation of the proposed conditions is illustrated through a numerical example and a simulation of the 3-DOF helicopter from Quanser ® . Resumo : Neste artigo,
Transient increase in atherosclerotic plaque macrophage content following Streptococcus pneumoniae pneumonia in ApoE-deficient mice

Introduction Despite epidemiological associations between community acquired pneumonia (CAP) and myocardial infarction, mechanisms that modify cardiovascular disease during CAP are not well defined. In particular, largely due to a lack of relevant experimental models, the effect of pneumonia on atherosclerotic plaques is unclear. We describe the development of a murine model of the commonest cause of CAP, Streptococcus pneumoniae pneumonia, on a background of established atherosclerosis. We go on to use our model to investigate the effects of pneumococcal pneumonia on atherosclerosis. Methods C57BL/6J and ApoE-/- mice were fed a high fat diet to promote atherosclerotic plaque formation. Mice were then infected with a range of S. pneumoniae serotypes (1, 4 or 14) with the aim of establishing a model to study atherosclerotic plaque evolution after pneumonia and bacteremia. Laser capture microdissection of plaque macrophages enabled transcriptomic analysis. Results Intratracheal instillation of S. pneumoniae in mice fed a cholate containing diet resulted in low survival rates following infection, suggestive of increased susceptibility to severe infection. Optimization steps resulted in a final model of male ApoE-/- mice fed a Western diet then infected by intranasal instillation of serotype 4 (TIGR4) S. pneumoniae followed by antibiotic administration. This protocol resulted in high rates of bacteremia (88.9%) and survival (88.5%). Pneumonia resulted in increased aortic sinus plaque macrophage content 2 weeks post pneumonia but not at 8 weeks, and no difference in plaque burden or other plaque vulnerability markers were found at either time point. Microarray and qPCR analysis of plaque macrophages identified downregulation of two E3 ubiquitin ligases, Huwe1 and Itch, following pneumonia. Treatment with atorvastatin failed to alter plaque macrophage content or other plaque features. Discussion Without antibiotics, ApoE-/- mice fed a high fat diet were highly susceptible to mortality following S. pneumoniae infection. The major infection associated change in plaque morphology was an early increase in plaque macrophages. Our results also hint at a role for the ubiquitin proteasome system in the response to pneumococcal infection in the plaque microenvironment.
Mindfulness and Student Engagement: The Mediation Effect of Self Esteem

Student engagement in learning is essential in creating active, creative, and fun learning. Unfortunately, not all students are engaged cognitively, emotionally, and behaviorally in learning. This study intends to prove that self-esteem can mediate the relationship between mindfulness and student engagement. This correlational study involved 469 students from four Senior/Vocational High schools in East Lampung Regency. The result of this study revealed that mindfulness predicts higher self-esteem. Mindfulness predicts student engagement. Self-esteem predicts student engagement. Mindfulness also increases student engagement through increased self-esteem. The implications of this study suggest the importance of appreciating student’s mental state and performance in the learning process.
Marine nitrogen fixation as a possible source of atmospheric water-soluble organic nitrogen aerosols in the subtropical North Pacific

Water-soluble organic nitrogen (WSON) in marine atmospheric aerosol affects water-solubility, acidity, and light-absorbing properties of aerosol particles, which are important parameters in assessing both the climate impact and the biogeochemical cycling of bioelements. Size-segregated aerosol and surface seawater (SSW) samples were simultaneously collected over the subtropical North Pacific to investigate the origin of WSON in the marine atmosphere. The submicrometer WSON concentration (7.5 ± 6.6 ngN m− 3) at 200–240ºE along 23ºN defined as the eastern North Pacific (ENP) was significantly higher than that (2.4 ± 1.9 ngN m− 3) at 135–200ºE, defined as the western North Pacific (WNP). Analysis of the stable carbon isotope ratio of water-soluble organic carbon (WSOC) (δ13CWSOC) indicated that most of the observed WSON in the fine particles in the ENP originated from the ocean surface. We found a significant positive correlation between the WSON concentrations and nitrogen fixation rate in SSW. The result indicates that reactive nitrogen (dissolved organic nitrogen and ammonium), produced and exuded by nitrogen-fixing microorganisms in SSW, significantly contributed to the formation of WSON aerosols. These results provide new insights into the role of ocean-derived reactive nitrogen aerosol associated with marine microbial activity.
MOFSocialNet: Exploiting Metal-Organic Framework Relationships via Social Network Analysis

The number of metal-organic frameworks (MOF) as well as the number of applications of this material are growing rapidly. With the number of characterized compounds exceeding 100,000, manual sorting becomes impossible. At the same time, the increasing computer power and established use of automated machine learning approaches makes data science tools available, that provide an overview of the MOF chemical space and support the selection of suitable MOFs for a desired application. Among the different data science tools, graph theory approaches, where data generated from numerous real-world applications is represented as a graph (network) of interconnected objects, has been widely used in a variety of scientific fields such as social sciences, health informatics, biological sciences, agricultural sciences and economics. We describe the application of a particular graph theory approach known as social network analysis to MOF materials and highlight the importance of community (group) detection and graph node centrality. In this first application of the social network analysis approach to MOF chemical space, we created MOFSocialNet. This social network is based on the geometrical descriptors of MOFs available in the CoRE-MOFs database. MOFSocialNet can discover communities with similar MOFs structures and identify the most representative MOFs within a given community. In addition, analysis of MOFSocialNet using social network analysis methods can predict MOF properties more accurately than conventional ML tools. The latter advantage is demonstrated for the prediction of gas storage properties, the most important property of these porous reticular networks.
Big Data Analytics for Physical Internet-based intelligent manufacturing shop floors

Physical Internet (PI, π) has been widely used for transforming and upgrading the logistics and supply chain management worldwide. This study extends the PI concept into manufacturing shop floors where typical logistics resources are converted into smart manufacturing objects (SMOs) using Internet of Things (IoT) and wireless technologies to create a RFID-enabled intelligent shop floor environment. In such PI-based environment, enormous RFID data could be captured and collected. This study introduces a Big Data Analytics for RFID logistics data by defining different behaviours of SMOs. Several findings are significant. It is observed that task weight is primarily considered in the logistics decision-making in this case. Additionally, the highest residence time occurs in a buffer with the value of 12.17 (unit of time) which is 40.57% of the total delivery time. That implies the high work-in-progress inventory level in this buffer. Key findings and observations are generated into managerial implications, which are useful for various users to make logistics decisions under PI-enabled intelligent shop floors.
Current stress metastability in a-Si:H thin film transistors

In this paper, we investigate the threshold voltage (VT) instability in a-Si:H TFTs subject to constant current stress. The gate voltage under such conditions continuously adjusts to keep the drain current constant. As such, existing voltage stress models fail to predict the resulting VT-shift. We propose a physically based model to predict VT-shift under current stress. The model follows a power law assuming that the VT-shift under moderate current stress is due to defect state creation in a-Si:H bulk and interfaces. Good agreement between simulation results and experimental data is obtained for various levels (2μA-15μA) of stress current at both room and elevated (75°C) temperatures.
Real Time Simulation for HVDC grids with modular multi-level converters

This paper focuses on comparison studies of the CIGRE DC grid test systems on the real time platform RTDS and the offline simulation program PSCAD. The real time MMC valve models employ a surrogate network topology to reduce the computational burden on the hardware to simulate MMC HVDC in real time at a time step of 2 to 4 usec. The main purpose of the paper is to further validate the real time MMC valve models based on the surrogate network topology for transient studies and demonstrate the ability to model large DC grid systems on a real time platform. The paper provides a description on the surrogate network topology and provides comparison results of the RTDS and PSCAD simulations for different transient events on the CIGRE test systems.
Promoting Subjective Well-Being among Rural and Urban Residents in Indonesia: Does Social Capital Matter?

There has been growing research on the link between social capital and subjective well-being. However, to date, research investigating the impact of social capital on subjective well-being based on urban and rural typology is limited. Therefore, to fill this gap, this study aims to examine the effects of social capital on subjective well-being, based on urban and rural typology, using large-scale data from 29,341 Indonesian residents, comprising 17,155 urban residents and 12,186 rural residents. A two-stage predictor substitution (2SPS) approach is applied to address the endogeneity issue in estimating the impact of social capital. The empirical findings indicate that social capital significantly increases subjective well-being, i.e., happiness and life satisfaction. However, based on the urban–rural model, we found that the impact of social capital on subjective well-being is different. In the urban model, social capital increases happiness and life satisfaction significantly. However, the rural model indicates that social capital significantly increases happiness, not life satisfaction. These findings imply that subjective well-being impacts urban residents more than rural residents. The main reason is social capital in urban areas is well-developed (i.e., management and infrastructure for community association). Therefore, we suggest developing social capital in rural areas to expand its role in improving well-being.
An Audience Effect in Sooty Mangabey Alarm Calling

How does intentional communication evolve? Comparative studies can shed light on the evolutionary history of this relevant feature of human language and its distribution before modern humans. The current animal literature on intentional signaling consists mostly of ape gestural studies with evidence of subjects persisting and elaborating with sometimes arbitrary signals toward a desired outcome. Although vocalizations can also have such imperative qualities, they are typically produced in a functionally fixed manner, as if evolved for a specific purpose. Yet, intentionality can sometimes transpire even in functionally fixed calls, for example, if production is adapted to audience composition. In this study, we carried out field experiments to test whether free-ranging sooty mangabeys adjusted snake alarm call production to their audiences. We found a positive relation between alarm call production and naïve individuals arriving, suggesting that callers attempted to influence their behaviors relative to the snake. Subjects called more with smaller audiences, if they had not heard other calls before, and if socially important individuals were in the area. We concluded that sooty mangabeys alarm call production can be explained as an active attempt to refer to an external event, rather than a mere readout of an internal state.