Miracle-dz/UniFAR-FTUs huggingface dataset:
PENGOLAHAN SABUT KELAPA MENJADI ASAP CAIR DENGAN MENGGUNAKAN PROSES PIROLISIS

Often on rubber, plantation, when rubber processing occurs things are harmfull to the surrounding community, which is when the freezing of the latex using formic acid so it still feels a pungent odor. In rubber processing can be argued that it is the low quality of rubber processing.Similarly, the problems that occurred in the wood industry, it was found that low-quality wood structure, very fragile and unstable so easily broken and easily attacked by termites. Technology liquid smoke can be utilized to overcome the above problems by using the raw material. The function of liquid smoke from coconut fiber as a natural preservative in industrial non-food such as wood industry and rubber plantations. The purpose of this study was to determine the quantity and quality of liquid smoke from coconut fiber Commonly, the processing of liquid smoke is consists of 3 phases: Preparation of phyrolysis process raw materials (cleaning, chopping, drying and weighing), Stages of process of pyrolysis (heating using a temperature of 150 ° C, heating time 5 hours), Stages of product analysis using GC/ MS Hewlett Packar Gc 6890 MSD 5973 which equipped by data base system Chesstation (phenol and acid compound) and a pH meter. The result of this study showed that the quantity of liquid smoke from coconut fiber is 32.35% and the quality of its liquid smoke is shown by 2.97% of phenol content ,6.8% of acidity and 2.62 of pH. Keywords: Coconut fiber, Pyrolysis, Condensation, Liquid smoke
Speed control of electrical machines: unknown load torque case

The problem of specifying a desired torque trajectory to achieve speed tracking in passivity-based control of induction motors is addressed. This paper presents a solution to the problem that does not require an acceleration measurement nor knowledge of the load torque. To prove the main result a variant of Sontag's input to state stability is used.
New I/Q imbalance modeling and compensation in OFDM systems with frequency offset

In this paper, a new model and compensation scheme of quadrature imbalance in analog I/Q OFDM transceivers is presented. Classically, the effect of I/Q imbalance is modeled by a crosstalk between pairs of symmetrical OFDM sub-carriers. We show that this model is not valid when the carrier frequency offset is compensated after the source of I/Q mismatch. Assuming a perfect digital compensation of the frequency offset in baseband, the I/Q imbalance generates interference between all sub-carriers and not only symmetrical ones. When analog components, multipath propagation and frequency offsets are taken into account, the complete matrix analysis has to make use of mathematical results such as the diagonalization of pseudo-circulant matrices. The existing models happen to be a sub-case of this new more general result. A new compensation scheme applying to every case is proposed as well as a receiver autocalibration procedure. It is shown that system-specific assumptions can simplify the implementation of the compensation. These assumptions are validated by simulation in the framework of a 5 GHz WLAN transceiver design with realistic production spread of the analog components.
Profiling of Amino Acids and Their Derivatives Biogenic Amines Before and After Antipsychotic Treatment in First-Episode Psychosis

Schizophrenia (SCH) is a heterogeneous disorder, deriving from a potential multitude of etiopathogenetic factors. During the past few years there has been an increasing interest in the role of circulating amino acids (AAs) and biogenic amines (BAs) in the pathophysiology of SCH. In the present study, we aimed to provide an insight into the potential role of alterations in levels of AAs and BAs as well as examine their more specific metabolic shifts in relation to early stage of SCH. We measured 21 AAs and 17 BAs in serum samples of patients with first-episode psychosis (FEP) before and after 7-month antipsychotic treatment in comparison to control subjects (CSs). According to multivariate analysis, antipsychotic-naïve FEP patients had significantly higher levels of taurine and spermine, whereas values of proline (Pro), alpha-aminoadipic acid (alpha-AAA), kynurenine (Kyn), valine (Val), tyrosine (Tyr), citrulline (Citr), tryptophan (Trp), and histidine (His) were diminished compared to CSs. Increased levels of taurine and spermine, as well as reduced levels of alpha-AAA and Kyn probably reflect the compromised function of N-methyl-D-aspartate (NMDA) receptors in patients. The decreased levels of Pro (AA modulating the function of glutamate decarboxylase) likely reflect the imbalanced function of gamma-aminobutyric acid (GABA) system in the brain of FEP patients. The alterations in ratio between Tyr and phenylalanine (Phe) can be taken as a sign of compromised function of dopaminergic system. These metabolic shifts were reinstated by 7-month antipsychotic treatment. Serum metabolic profiles can be regarded as important indicators to investigate clinical course of SCH and treatment response.
EFFECTS OF TOUCH ON SERIOUSLY ILL PATIENTS

To investigate the effects of touch as nonverbal communication on seriously ill patients, 60 seriously ill patients between the ages of 20 and 64, hospitalized on general medical and surgical units in the University of Iowa Hospitals and Clinics, Iowa City, were assigned to experimental and control groups (30 each). Experimental group subjects were touched while verbalizing with the investigator; control group subjects were not. Three structured questions were asked of all patients. Responses to the verbalization and touching were measured by four instruments: 1) The Interaction Behavior Worksheet included four major categories of behavior —“facial expressions,” “body movements,” “eye contact,” and “general response of the patient,” — and two other factors—“general eye contact determined by the investigator” and “length of the verbalization. ” 2) The Bales' Interaction Process Analysis was used to categorize the subject's verbal responses; the verbal exchange between the investigator and patient was tape recorded. 3) The postinteraction questionnaire was used by one of two observers to ask the patient four specific questions in order to determine the patient's perception of comfort and interest the nurse extended after the interaction was completed. 4) Electrocardiographic changes of the patients on cardiac monitors were used to determine changes in the patient's heart rate and rhythm. The Kolmogorov-Smirnov two sample test was applied to the control and experimental responses to determine statistically significant differences between the positive, neutral, and‘ negative categories. Results of this study demonstrated that the nurse can establish a rapport with a seriously ill patient within a short period of time. The findings support the use of touch for indicating to seriously ill patients that the nurse cares about the patient.
Deep Facial Expression Recognition: A Survey

With the transition of facial expression recognition (FER) from laboratory-controlled to challenging in-the-wild conditions and the recent success of deep learning techniques in various fields, deep neural networks have increasingly been leveraged to learn discriminative representations for automatic FER. Recent deep FER systems generally focus on two important issues: overfitting caused by a lack of sufficient training data and expression-unrelated variations, such as illumination, head pose, and identity bias. In this survey, we provide a comprehensive review of deep FER, including datasets and algorithms that provide insights into these intrinsic problems. First, we introduce the available datasets that are widely used in the literature and provide accepted data selection and evaluation principles for these datasets. We then describe the standard pipeline of a deep FER system with the related background knowledge and suggestions for applicable implementations for each stage. For the state-of-the-art in deep FER, we introduce existing novel deep neural networks and related training strategies that are designed for FER based on both static images and dynamic image sequences and discuss their advantages and limitations. Competitive performances and experimental comparisons on widely used benchmarks are also summarized. We then extend our survey to additional related issues and application scenarios. Finally, we review the remaining challenges and corresponding opportunities in this field as well as future directions for the design of robust deep FER systems.
Anchor-based Nearest Class Mean Loss for Convolutional Neural Networks

Discriminative features are critical for machine learning applications. Most existing deep learning approaches, however, rely on convolutional neural networks (CNNs) for learning features, whose discriminant power is not explicitly enforced. In this paper, we propose a novel approach to train deep CNNs by imposing the intra-class compactness and the inter-class separability, so as to enhance the learned features' discriminant power. To this end, we introduce anchors, which are predefined vectors regarded as the centers for each class and fixed during training. Discriminative features are obtained by constraining the deep CNNs to map training samples to the corresponding anchors as close as possible. We propose two principles to select the anchors, and measure the proximity of two points using the Euclidean and cosine distance metric functions, which results in two novel loss functions. These loss functions require no sample pairs or triplets and can be efficiently optimized by batch stochastic gradient descent. We test the proposed method on three benchmark image classification datasets and demonstrate its promising results.
Pharmacological Inhibition of FTO

In 2007, a genome wide association study identified a SNP in intron one of the gene encoding human FTO that was associated with increased body mass index. Homozygous risk allele carriers are on average three kg heavier than those homozygous for the protective allele. FTO is a DNA/RNA demethylase, however, how this function affects body weight, if at all, is unknown. Here we aimed to pharmacologically inhibit FTO to examine the effect of its demethylase function in vitro and in vivo as a first step in evaluating the therapeutic potential of FTO. We showed that IOX3, a known inhibitor of the HIF prolyl hydroxylases, decreased protein expression of FTO (in C2C12 cells) and reduced maximal respiration rate in vitro. However, FTO protein levels were not significantly altered by treatment of mice with IOX3 at 60 mg/kg every two days. This treatment did not affect body weight, or RER, but did significantly reduce bone mineral density and content and alter adipose tissue distribution. Future compounds designed to selectively inhibit FTO’s demethylase activity could be therapeutically useful for the treatment of obesity.
Dietary patterns and cardiovascular mortality in the Melbourne Collaborative Cohort Study 1 – 3

Background: Despite increased cardiovascular disease risk factors, migrants to Australia from Mediterranean countries have lower mortality than do native-born Australians. Dietary patterns may contribute to this. Objective: The objective was to investigate the relation between dietary patterns and mortality from cardiovascular (CVD) and ischemic heart disease (IHD) in an ethnically diverse population. Design: This was a prospective cohort study (mean follow-up: 10.4 y) of 40 653 volunteers (23 980 women) aged 40–69 y in the Melbourne Collaborative Cohort Study (1990–1994); 24% of the subjects were Mediterranean born. Results: Four dietary factors were identified from a food-frequency questionnaire with the use of principal components analysis. They explained 69% of intake variance and reflected frequent intakes of Mediterranean foods, vegetables, meat, and fresh fruit. The Mediterranean factor was inversely associated with CVD and IHD mortality in models adjusting for diabetes, waist-to-hip ratio, body mass index, and hypertension. For IHD, the hazard ratio (HR) for the highest compared with the lowest quartile of consumption was 0.59 (95% CI: 0.39, 0.89; P for trend 0.03). Associations persisted in analyses excluding people with prior CVD (HR: 0.51; 95% CI: 0.30, 0.88; P for trend 0.03). Vegetable and fresh fruit factors were inversely associated with CVD mortality but only among those without prior CVD. HRs (highest compared with lowest quartile) were 0.66 (95% CI: 0.48, 0.92; P for trend 0.02) for vegetables and 0.69 (95% CI: 0.52, 0.93; P for trend 0.04) for fresh fruit. The meat factor was not associated with CVD or IHD mortality. Conclusion: Our findings suggest that frequent consumption of traditional Mediterranean foods is associated with reduced cardiovascular mortality after controlling for important risk factors and country of birth. Am J Clin Nutr 2007;86:221–9.
Let's Hate Together: How People Share News in Messaging, Social, and Public Networks

There are currently a wide variety of ways to share news with others: from sharing in a personal message, to sharing on a social network, to publicly posting. Through a survey with over one thousand people and an artifact analysis of 262 shared articles, we examine differences in motivations and frequency of sharing news on public, social and private platforms. We find that public sharing is more focused on spreading an ideology, while private sharing in messaging is dominated by stories inspired by the recipient's interests or context. The survey revealed three main groups of news sharing practices: those who shared to all channels (public, social, private), those who didn't share at all, and those who shared to private and social. The groups differed in their attitudes toward online discussion; those that shared the most were neutral and those that didn't share had negative attitudes about discussion online. We discuss sharing practices and implications for social systems that support sharing news.
A Distinct Subpopulation of Bone Marrow Mesenchymal Stem Cells, Muse Cells, Directly Commit to the Replacement of Liver Components

Genotyping graft livers by short tandem repeats after human living‐donor liver transplantation (n = 20) revealed the presence of recipient or chimeric genotype cases in hepatocytes (6 of 17, 35.3%), sinusoidal cells (18 of 18, 100%), cholangiocytes (15 of 17, 88.2%) and cells in the periportal areas (7 of 8, 87.5%), suggesting extrahepatic cell involvement in liver regeneration. Regarding extrahepatic origin, bone marrow mesenchymal stem cells (BM‐MSCs) have been suggested to contribute to liver regeneration but compose a heterogeneous population. We focused on a more specific subpopulation (1–2% of BM‐MSCs), called multilineage‐differentiating stress‐enduring (Muse) cells, for their ability to differentiate into liver‐lineage cells and repair tissue. We generated a physical partial hepatectomy model in immunodeficient mice and injected green fluorescent protein (GFP)‐labeled human BM‐MSC Muse cells intravenously (n = 20). Immunohistochemistry, fluorescence in situ hybridization and species‐specific polymerase chain reaction revealed that they integrated into regenerating areas and expressed liver progenitor markers during the early phase and then differentiated spontaneously into major liver components, including hepatocytes (≈74.3% of GFP‐positive integrated Muse cells), cholangiocytes (≈17.7%), sinusoidal endothelial cells (≈2.0%), and Kupffer cells (≈6.0%). In contrast, the remaining cells in the BM‐MSCs were not detected in the liver for up to 4 weeks. These results suggest that Muse cells are the predominant population of BM‐MSCs that are capable of replacing major liver components during liver regeneration.
Pluripotent stem cells are protected from cytomegalovirus infection at multiple points: Implications of a new pathogenesis for congenital anomaly caused by cytomegalovirus

In humans, the cytomegalovirus (CMV) is the most significant cause of intrauterine infections that cause congenital anomalies. Intrauterine infection with human CMV is thought to be responsible for a variety of abnormalities, including mental retardation, microcephaly, developmental delay, seizure disorders, and cerebral palsy, depending on the timing of the fetal infection, the infectious route, and the virulence of the virus. In addition to the adaptive immune system, the embryo has potential resistance to CMV during early embryogenesis. Embryonic stem (ES) cells are more resistant to CMV than most other cell types, although the mechanism responsible for this resistance is not well understood. ES cells allow approximately 20‐fold less murine CMV (MCMV) DNA to enter the nucleus than mouse embryonic fibroblasts (MEFs), and this inhibition occurs in a multistep manner. In situ hybridization showed that ES cell nuclei had significantly less MCMV DNA than MEF nuclei. This finding appears to be supported by the fact that ES cells express less heparan sulfate, β1‐integrin, and vimentin and have fewer nuclear pores than differentiated cells such as MEF. This may reduce the ability of MCMV to attach to and enter the cellular membrane, translocate to the nucleus, and cross the nuclear membrane in pluripotent stem cells (ES‐induced pluripotent stem cells). This finding may indicate a new pathogenesis for the congenital anomaly caused by CMV.
Leukocyte count: A reliable marker for the severity of organophosphate intoxication?

ABSTRACT INTRODUCTION: Organophosphorus poisoning (OPP) is a major public health problem in developing countries like India. Leukocyte count is a simple and inexpensive test, and elevated count is associated with acute inflammation and increased oxidative stress-like OPP. This study was done to correlate the severity of acute OPP with leukocyte count and also to assess the prognosis. MATERIALS AND METHODS: A prospective, observational clinical study was done on 80 patients suspected of OPP of age >15 years admitted to emergency unit at a tertiary rural teaching health-care center of Central India. Serum cholinesterase level and leukocyte count were estimated at the time of admission in all patients and severity of OPP was assessed according to Peradeniya organophosphorus poisoning (POP) scale. RESULTS: The mean age of the patients was 33.52 years (standard deviation [SD] 11.62) in males and 27.30 years (SD 7.33) in females. Among them, 57 (71.25%) were males and 23 (28.75%) were females. The severity of poisoning was directly correlated with serum cholinesterase level (P = 0.0001). Leukocyte count had a sensitivity of 60%, specificity of 76%, and negative predictive value of 85% if counts were more than 12,000 and 30% sensitivity, 95% specificity, and 80% negative predictive value if counts were more than 15,000 in predicting mortality in patients with OPP. CONCLUSION: Leukocyte count levels on admission can be used a prognostic marker in patients with OP poisoning.
Suspect set prediction in RTL bug hunting

We propose a framework for predicting erroneous design components from partially observed solution sets that are found through automated debugging tools. The proposed method involves learning design component dependencies by using historical debugging data and representing these dependencies by means of a probabilistic graph. Using this representation, one can run a debugging tool non-exhaustively, obtain a partial set of potentially erroneous components and then predict the remaining by applying a cost-effective belief propagation pass. The method can reduce debugging runtime when it comes to multiple debugging sessions by 15x on the average while achieving a 91% average prediction accuracy.
Circuit carving: A methodology for the design of approximate hardware

Systems-on-Chip (SoCs) commonly couple low-power processors and dedicated hardware accelerators, which allow the execution of high-workload and/or timing-critical applications while relying on constrained resources. The functions performed by accelerators are often robust with respect to approximations that, when implemented in HW, can lead to circuits with tangibly lower area and power consumption. Research in approximate computing aims at developing effective strategies to explore the ensuing correctness/efficiency trade-off. In this context, we address the challenge of approximate circuit design in an innovative way, called here Circuit Carving, which consists in identifying the maximum portion of an exact circuit that can be discarded from it, or carved out, to derive an inexact version not exceeding an error threshold. We achieve this goal by proposing an algorithm based on binary tree exploration, bounded by conditions extracted from the circuit topology. Our approach can be applied to any combinatorial circuit, without a-priori knowledge of its functionality. The proposed algorithm allows back-tracking in order to never be trapped in local minima, and identifies the exact influence of each circuit gate on the output correctness, resulting in inexact circuits with higher efficiency and accuracy with respect to state-of-the-art greedy strategies.
Solvent selection and design for CO2 capture – how we might have been missing the point

Carbon capture and storage (CCS) is a vital technology for the cost-effective mitigation of anthropogenic CO2 emissions. However, a key obstacle to its deployment on a large scale remains its cost – both capital and operating costs. In this context, the development of improved sorbents is a key research priority. Consequently, there is a vast global effort to develop new materials for this purpose, with literally thousands of new materials having been proposed since the beginning of the millennium. One common element of these contributions is that they focus on the equilibrium capacity of the material to absorb CO2 and rarely, if ever, other key factors such as transport properties. To date, the majority of this effort has cost significant amounts of time and resources and has almost exclusively focused on developing sorbents with increased CO2 capacity and/or reduced heat of regeneration. Given that sorbent regeneration largely dictates operational cost, this would, on the surface, appear rational. However, it is vital to recall that the cost structure of $ per MWh of electricity generated is composed of contributions from both capital and operational costs. Consequently, this single-minded focus on equilibrium CO2 capacity and heat of regeneration excludes the contribution of transport and kinetic properties which determine the equipment size and thus the capital cost. Therefore, in order to develop sorbents which will result in a non-negligible cost reduction, it is essential to move beyond equilibrium-based metrics of sorbent performance. In this paper, we present a new methodological approach for sorbent screening which explicitly includes rate-based phenomena. Our approach uses both monetised and non-monetised performance indicators. Our results suggest that whilst equilibrium CO2 capacity is a key determinant of process performance, transport properties (e.g., viscosity) and other thermophysical properties (e.g., heat capacity) have a significant effect on the capital cost, and thus on the price of the carbon captured. The key contribution of this work is the identification of the minimum set of thermophysical and kinetic parameters which must be reported in order to justify the claim of adequacy for a new sorbent for CO2 capture in particular and gas separations in general.