Miracle-dz/UniFAR-FTUs huggingface dataset:
Fast Texture Classification Using Tactile Neural Coding and Spiking Neural Network

Touch is arguably the most important sensing modality in physical interactions. However, tactile sensing has been largely under-explored in robotics applications owing to the complexity in making perceptual inferences until the recent advancements in machine learning or deep learning in particular. Touch perception is strongly influenced by both its temporal dimension similar to audition and its spatial dimension similar to vision. While spatial cues can be learned episodically, temporal cues compete against the system’s re-sponse/reaction time to provide accurate inferences. In this paper, we propose a fast tactile-based texture classification framework which makes use of the spiking neural network to learn from the neural coding of the conventional tactile sensor readings. The framework is implemented and tested on two independent tactile datasets collected in sliding motion on 20 material textures. Our results show that the framework is able to make much more accurate inferences ahead of time as compared to that by the state-of-the-art learning approaches.
Concurrent validity of a touchscreen application to detect early cognitive delay

Objective To explore the ability of an interactive screening tool to identify cognitive delay in children aged 18 to 24 months. Design Children were assessed using the Bayley Scale of Infant and Toddler Development—third edition (BSID-III) and a touchscreen measure of problem-solving (Babyscreen V.1.5). We examined the internal consistency and concurrent validity between the two measures. A BSID-III cognitive composite score (BSID-IIIcc) ≤1 SD below population mean was used to indicate a low average cognitive ability. Results 87 children with a mean (SD) age of 20.4 (1.3) months who experienced complications at delivery (n=53) and healthy age-matched controls (n=34) were included in the study. A moderate positive correlation between the BSID-IIIcc and the total number of tasks completed on the Babyscreen suggested reasonable concurrent validity (r=0.414, p<0.001). Children with a BSID-IIIcc ≤90 had lower median (IQR) Babyscreen score (7 (6, 8.5) vs 11 (8.5, 13); p=0.003) and a lower median (IQR) age-adjusted z-score (BST z-score) for number of items completed compared with those >90 (−1.08 (−1.5 to −0.46) vs 0.31 (−0.46 to 0.76); p=0.001). The area under the receiver operating characteristic curve for the prediction of a low normal BSID-IIIcc was 0.787 (CI 0.64 to 0.93). A BST z-score of <−0.44 yielded 82.4% sensitivity and 71.4% specificity in identifying children with cognitive delay. Conclusions A touchscreen-based application has concurrent validity with the BSID-IIIcc and could be used to screen for cognitive delay at 18–24 months of age.
57 Fe Mössbauer study of epitaxial TiN thin film grown on MgO ( 100 ) by magnetron sputtering

The properties and performance of TiN thin films are closely related to the concentration and mobility of lattice defects in the thin film structures of TiN. This makes a local atomic scale study of TiN thin films an ever-growing demand. Emission Fe Mössbauer spectroscopy (eMS) is a powerful tool in this regard, which we apply here to study an ultrathin TiN film epitaxially grown on MgO (100). With the help of theoretical calculations, our results show that most implanted Fe ions adopt a 2 valence state and locate at the Ti sublattice in the bulk-like single crystalline grains, with the rest Fe residing at the grain boundaries as interstitials. A small percentage of nitrogen point defects (vacancy VN and interstitial NI) are observed in the bulk-like crystalline grains. A temperature-dependent, interstitial NI mediated siteexchange between NI and VN inside the crystal grain are deduced via a N2 dimmer like diffusion of NI through the crystal grains in the temperature range of 540 620 K. This is interesting in the perspective of exploring the catalytic property of TiN nanostructures. The titanium vacancy (VTi) is only detected at the grain boundaries. Annealing up to 813 K, both the VN and NI are annihilated in the crystalline grains and the VTi is fully recovered with healing of the grain boundaries. However, no evidence of ferromagnetism due to dilute implantation of Mn/Fe and or structural defects in the film is obtained. This suggests that the so far reported dilute magnetism and defect-induced ferromagnetism in TiN nanostructures requires a further systematic investigation.
Enhanced security‐aware technique and ontology data access control in cloud computing

Nowadays, security and data access control are some of the major concerns in the cloud storage unit, especially in the medical field. Therefore, a security‐aware mechanism and ontology‐based data access control (SA‐ODAC) has been developed to improve security and access control in cloud computing. The model proposed in this research work is based on two operational methods, namely, secure awareness technique (SAT) and ontology‐based data access control (ODAC), to improve security and data access control in cloud computing. The SAT technique is developed to provide security for medical data in cloud computing, based on encryption, splitting and adding files, and decryption. The ODAC ontology is launched to control unauthorized persons accessing data from storage and create owner and administrator rules to allow access to data and is proposed to improve security and restrict access to data. To manage the key of the SAT technique, the secret sharing scheme is introduced in the proposed framework. The implementation of the algorithm is performed by MATLAB, and its performance is verified in terms of delay, encryption time, encryption time, and ontology processing time and is compared with role‐based access control (RBAC), context‐aware RBAC and context‐aware task RBAC, and security analysis of advanced encryption standard and data encryption standard. Ultimately, the proposed data access control and security scheme in SA‐ODAC have achieved better performance and outperform the conventional technique.
On the performance of underlay cognitive radio system with random mobility under imperfect channel state information

In this paper, the performance of an underlay cognitive radio system with random mobility and imperfect channel state information (CSI) is investigated. The mobile user (MU) utilises maximum ratio combining (MRC) and selection combining (SC) diversity techniques as signal reception to improve the quality of received signal‐to‐noise ratio (SNR). Under the Rayleigh fading, random waypoint mobility model is employed to characterised the effect of the MU random mobility on the system performance. Thus, novel probability density function (PDF) and cumulative distribution function (CDF) for the two considered diversity techniques are derived. Through these, the outage probability and average bit error rate (ABER) closed‐form analytical expressions are then obtained to quantify the system performance under the MRC and SC schemes. The results illustrate the effect of imperfect CSI, user mobility which is characterised by pathloss and the network topology on the system performance. Also, the results depict that MRC offers the system better performance compared with SC under the same system conditions. The accuracy of the derived analytical expressions is verified through Monte‐Carlo simulations.
Deep Learning Based Antenna Selection for Channel Extrapolation in FDD Massive MIMO

In massive multiple-input multiple-output (MIMO) systems, the large number of antennas would bring a great challenge for the acquisition of the accurate channel state information, especially in the frequency division duplex mode. To overcome the bottleneck of the limited number of radio links in hybrid beamforming, we utilize the neural networks (NNs) to capture the inherent connection between the uplink and downlink channel data sets and extrapolate the downlink channels from a subset of the uplink channel state information. We study the antenna subset selection problem in order to achieve the best channel extrapolation and decrease the data size of NNs. The probabilistic sampling theory is utilized to approximate the discrete antenna selection as a continuous and differentiable function, which makes the back propagation of the deep learning feasible. Then, we design the proper off-line training strategy to optimize both the antenna selection pattern and the extrapolation NNs. Finally, numerical results are presented to verify the effectiveness of our proposed massive MIMO channel extrapolation algorithm.
Government of Indonesia’s Battling Strategy to Cope With Pseudo-Cooperatives

By contesting the political spectrum versus the economic side of regulation, it is found that the Indonesian cooperative's performance is influenced more by the first approach. As Golkar's electoral vehicle to protect its ruling party's majority vote, the cooperative apex organization (Dekopin) became a parastatal. As a 'bureaucratic capitalist' with state budget support, Dekopin's 'holdup problem' creates the 'subsidy mentality' and increasing corruption perception that stimulated the formation of pseudo-cooperatives. A bottom-up petition to remove Dekopin's parastatal status failed. By calibrating the 2012-2014 panel data, the pseudo-cooperatives decrease when active cooperatives increase. From the 2015 cross-section exercise, pseudo-cooperatives' number rises along with the growing population. External funding to cooperatives is used as a means to spend it on leisure. Many islands show different tendencies of pseudo-cooperatives' creation. In 2016, a government's economic strategy to create healthy cooperatives was started by closing down 32,778 pseudo-cooperatives. This process continued until 2019. JEL Classification : P13, C21, R51, A13 How to Cite: Soesilo, N. I. (2020). Government of Indonesia’s Battling Strategy to Cope with Pseudo-Cooperatives. Signifikan: Jurnal Ilmu Ekonomi , 9 (2), 219-240. https://doi.org/10.15408/sjie.v9i2. 15547.
SCM: Secure and accountable TLS certificate management

In classical public‐key infrastructure (PKI), the certificate authorities (CAs) are fully trusted, and the security of the PKI relies on the trustworthiness of the CAs. However, recent failures and compromises of CAs showed that if a CA is corrupted, fake certificates may be issued, and the security of clients will be at risk. As emerging solutions, blockchain‐ and log‐based PKI proposals potentially solved the shortcomings of the PKI, in particular, eliminating the weakest link security and providing a rapid remedy to CAs' problems. Nevertheless, log‐based PKIs are still exposed to split‐world attacks if the attacker is capable of presenting two distinct signed versions of the log to the targeted victim(s), while the blockchain‐based PKIs have scaling and high‐cost issues to be overcome. To address these problems, this paper presents a secure and accountable transport layer security (TLS) certificate management (SCM), which is a next‐generation PKI framework. It combines the two emerging architectures, introducing novel mechanisms, and makes CAs and log servers accountable to domain owners. In SCM, CA‐signed domain certificates are stored in log servers, while the management of CAs and log servers is handed over to a group of domain owners, which is conducted on the blockchain platform. Different from existing blockchain‐based PKI proposals, SCM decreases the storage cost of blockchain from several hundreds of GB to only hundreds of megabytes. Finally, we analyze the security and performance of SCM and compare SCM with previous blockchain‐ and log‐based PKI schemes.
Framework For Kernel Based BM3D Algorithm Framework For Kernel Based BM3D Algorithm

Patch-based approaches such as Block Matching and 3D collaborative Filtering (BM3D) algorithm represent the current state-of-the-art in image denoising. However, BM3D still suﬀers from degradation in performance in smooth areas as well as loss of image details, speciﬁcally in the presence of high noise levels. Integrating shape adaptive methods with BM3D improves the denoising outcome including the visual quality of the denoised image; and also maintains image details. In this study, we proposed a framework that produces multiple images using various shapes. These images were aggregated at the pixel or patch levels for both stages in BM3D, and when appropriately aggregated, resulted in better denoising performance than BM3D by 1.15 dB, on average. Abstract Noise in images usually occurs during image acquisition and/or transmission, when image information can be lost, and because of this, research in denoising digital images focuses on improving image information. BM3D the most prominent image denoising algorithm for the last decade, it utilizes a process of searching for matching patches to improve image quality. Similar to BM3D, Our proposed framework uses diﬀerent shapes next to the square shape to improve patch matching. However, Instead of obtaining only one output image, our framework combines various obtained images. The combination of these images improves the numerical and visual quality of the denoised imageto a greater extent than BM3D.
Loss of ACSM 3 confers worsened prognosis and immune exclusion to cutaneous melanoma Running title : ACSM 3 loss promotes melanoma

Aim) Malignant melanoma (MM) is a highly aggressive cutaneous cancer with undetermined underlying genetic disposition. We aim to evaluate prognostic and mechanistic role of ACSM3 in MM. (Methods) In silico reproduction of TCGA MM dataset, GEO dataset, GDSC dataset and human protein atlas was performed to establish differential expression of ACSM3. In vitro and in vivo validation using A375 and SKMEL1 MM cells were performed to profile tumorigenic role and functional attribution of the gene. (Results) ACSM3 expression was significantly downregulated in MM. Lower expression of ACSM3 conferred worsened prognosis of MM. Lower ACSM3 was observed in Asian ethnicity. Knock-down (KD) and overexpression (OE) of ACSM3 resulted in significant increased and decreased proliferation, invasion and colony formation in MM cells, respectively. Pathway annotation revealed significantly active immune response invoked by ACSM3. Lower ACSM3 expression was associated with decreased CD8+, macrophage and dendritic cell infiltration. Cox regression revealed loss of survival contribution of ACSM3 in the presence of immune infiltrates supporting immune regulatory role of ACSM3. Drug sensitivity analysis revealed BRAF inhibitor PLX-4720 was sensitive in both MM cells. ACSM3 expression showed no correlation with immune checkpoint molecules. Combined ACSM3-OE and PLX4720 in MM cells showed synergistic inhibition in MM cells and xenograft murine models with no significant toxicity. (Conclusion) Loss of ACSM3 was associated with poor prognosis in MM. Overexpression of ACSM3 synergistically inhibited MM with PLX-4720. ACSM3 was potentially associated with immune exclusion in MM. Further validation was warranted in future studies.
Voltage regulation by means of storage device in LV feeder using OpenDSS interfacing with MATLAB

in inglese This study presents an analysis of voltage regulation in low voltage distribution feeder and evaluates how the feeder’s voltage is affected when the feeder has PV connected. The aim of this thesis is to represent the reason of voltage rise/drop problem and introduce different solution options to regulate voltage, focusing on a storage control algorithm. The distribution feeder is built in OpenDSS software and the control algorithm is carried out by MATLAB. Indeed, the common object model (COM) interface capability of OpenDSS is used to interface with MATLAB to observe the effect of the proposed control in the power grid. Our results show that by applying energy storage control algorithm illustrated in the literature, the maximum and minimum of critical bus voltages can be controlled and network losses can be minimized.
Understanding Stakeholder Communication and Coordination for Children with Behavioral Needs

Behavior management is an important component in classroom settings. If implemented appropriately and consistently, it has been shown to have a positive impact on student behavior. In order for behavior management strategies implemented at school to be effective, they need to be reinforced at home as well. However, home-school collaboration is difficult to achieve. This work uses the diary study methodology to understand the barriers parents face when collaborating with school practitioners about their child’s behavior management. Both qualitative and quantitative techniques were used to analyze parent questionnaires. Our preliminary findings show a lack of tailored support and guidance provided to parents from school practitioners, leaving parents unable to effectively manage their child’s behaviors at home. We discuss the opportunity to design an information sharing solution that meets the needs of both school practitioners and parents to improve their collaboration, ultimately leading to improved behavioral outcomes for their children.
Bio-efficacy of herbicide mixtures against complex weed flora in wheat (Triticum aestivum)

A field experiment was conducted at Baraut in Uttar Pradesh during 2001 -02 and 2002-03 to study the effect of different herbicides as sole and their tank mixtures on wheat (Triticum aestivum L. emend. Fiori & Paol.). The highest grain yield of 4.49 t/ha was recorded with fenoxaprop-p-ethyl + carfentrazone (100 + 10 glha) applied 30 days after sowing, which was at par with weed-free treatment. The lowest dry weight of weeds (22.0'g/m2) and highest weed-control efficiency (84.7%) were observed with fenoxaprop-p-ethyl + carfentrazone due to control of grassy and broad-leaf weeds. Although the tank mixture of isoproturon + carfentrazone showed greater control of broad-leaf weeds, it gave significantly lower control of grassy weed (Phalaris -minor) compared with fenoxaprop-p-ethyl + carfentrazone. Metsulfuron alone at 4 and 8 g/ha was found superior to 2,4-D and carfentrazone 10 g/ha for dry weight of weeds and weed-control efficiency. There was reduction of 25.7% in seed yield under weedy check conditions. None of herbicide alone or in mixture showed residual effect on suc- ceeding crops of fodder maize and mungbean.
The Non-Structural Carbohydrate of the Stem and Sheath in Relation to the Panicle Characteristics in Rice

The field experiments were conducted using three rice combinations with different panicle traits. The results showed that the higher the non structural carbohydrate (NSC) of the stem and sheath at flowering stage and the lower at mature stage, the higher the seed setting rate was. The higher the average of each spikelet owning NSC at flowering stage, the higher 1000 grain weight was.
Studying the Performance of Linear Precoding Algorithms based on Millimeter-wave MIMO Communication System

— the main difficulty in multi-input multi-output (MIMO) channels is the separation of the data streams which have been sent in parallel. Precoding is a technique which exploits transmission diversity by properly weighing the data stream. This technique will reduce the Perversion effects of the communication channel. In this paper, we have altogether assessed the impact of various linear precoding (LP) algorithms on Millimeter wave MU-MIMO wireless communication system with and without channel state information. We have proposed to think about the impact of increasing number of base-station (BS) antenna on the bit error rate (BER) and achievable sum-rate performance of the different LP algorithms. The simulation results had been shown that as the number of user’s increases, BER value of Maximum ratio transmission (MRT) is better than Zero-forcing (ZF) in SNR range from 0 to15 dB but ZF gives the better value of BER at SNR ≥ 15 than MRT however, it has not changed by increasing number of users. While BER of Regularized Zero-forcing (RZF) and Minimum mean square error (MMSE) is improved with increasing number of users. MMSE gives the lowest BER in the across SNR range. Therefore, the MMSE algorithm is the best of them. As for the achievable sum rate, the achievable rates of MMSE, ZF, RZF, and MRT are increased by increasing the number of antennas.
Aminoglycoside Drugs Combined with Inhibitors of Glycosylation and Fatty Acid and Peptide Biosynthesis

Smoothand rough-colony variants of Mycobacterium avium serovar 4 were treated with three classes of drugs. The drugs were chosen for their potential inhibitory effects on the biosynthesis of the cell envelopeassociated serovar-specific glycopeptidolipid antigens. Growth was monitored radiometrically with a BACTEC 460-TB instrument, and MICs were determined for each drug. Both variants were then treated with inhibitory drugs in combination with antimicrobial agents that have demonstrated effectiveness against M. avium. No growth inhibition was observed with 6-fluoro-6-deoxy-D-glucose or avidin. Inhibitors of glycosylation, i.e., 2-deoxy-D-glucose, bacitracin, and ethambutol, were inhibitory to smoothand rough-colony variants, whereas drugs that inhibit peptide synthesis, i.e., N-carbamyl-L-isoleucine and m-fluoro-phenylalanine, were more inhibitory for the rough-colony variant. Cerulenin, which affects fatty acid synthesis, was inhibitory for both variants, but it appeared to be more effective at inhibiting the growth of the smooth-colony variant at equivalent concentrations. Generally, when inhibitors of glycosylation were used with sparfloxacin and amikacin, a synergistic effect was observed for only the smooth variant. When drugs that affect peptide synthesis were used in combination with amikacin, a synergistic effect was observed for the rough variant, and when cerulenin was used in combination with sparfloxacin or amikacin, a synergistic effect was observed for both variants. Lipid analysis revealed that although the rough variant lacks the serovar-specific glycopeptidolipid antigens, it does possess a group of phenylalanine-isoleucine-containing lipopeptides that may explain its different susceptibility patterns to m-fluoro-phenylalanine and N-carbamyl-L-isoleucine. The significance of these results is discussed with reference to various components in the cell envelope and their importance in cell wall permeability.
Pressure- and Temperature-Induced Insertion of N2, O2 and CH4 to Ag-Natrolite

This paper aimed to investigate the structural and chemical changes of Ag-natrolite (Ag16Al16Si24O80·16H2O, Ag-NAT) in the presence of different pressure transmitting mediums (PTMs), such as N2, O2 and CH4, up to ~8 GPa and 250 °C using in situ synchrotron X-ray powder diffraction and Rietveld refinement. Pressure-induced insertion occurs in two stages in the case of N2 and O2 runs, as opposed to the CH4 run. First changes of the unit cell volume in N2, O2 and CH4 runs are observed at 0.88(5) GPa, 1.05(5) GPa and 1.84(5) GPa with increase of 5.7(1)%, 5.5(1)% and 5.7(1)%, respectively. Subsequent volume changes of Ag-natrolite in the presence of N2 and O2 appear at 2.15(5) GPa and 5.24(5) GPa with a volume increase of 0.8(1)% and a decrease of 3.0(1)%, respectively. The bulk moduli of the Ag-NAT change from 42(1) to 49(7), from 38(1) to 227(1) and from 49(3) to 79(2) in the case of N2, O2 and CH4 runs, respectively, revealing that the Ag-NAT becomes more incompressible after each insertion of PTM molecules. The shape of the channel window of the Ag-NAT changes from elliptical to more circular after the uptake of N2, O2 and CH4. Overall, the experimental results of Ag-NAT from our previous data and this work establish that the onset pressure exponentially increases with the molecular size. The unit cell volumes of the expanded (or contracted) phases of the Ag-NAT have a linear relationship and limit to maximally expand and contract upon pressure-induced insertion.