Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship between water solubility, soil sorption, octanol-water partitioning, and concentration of chemicals in biota

There is a need for a method of preliminary estimation of bioconcentration factors in fish and soil sorption coefficients for chemicals. A data base was assembled for 170 compounds having average values for these two parameters and also average values for water solubility and n-octanol-water partition coefficients. Binary regression equations between the logarithms of these values gave correlation coefficients that were all significant below the 1 percent level. Using these equations, measured average values for any of the four parameters could be used to estimate average values for the unmeasured parameters. The 95 percent confidence limits for the calculated values were about ′ 1 to 3 orders of magnitude of the measured values. The relatively large variation of the actual from the predicted values was due both to the variation in the type of methodology used to make the measurements and also to the intrinsic variation in values attributable to the nature of the chemicals, the characteristics of the soils and fish, and the environmental conditions employed in the studies. Much less variation between actual and predicted values has been achieved when more uniform methodology is adopted for measuring these parameters. Despite the variability, the data are useful for early assessment of the potential for bioconcentration and mobility in the environment. Knowledge of the two factors is needed for hazard assessment in the environment. Bioconcentration factor values for Daphnia appear to be as valid for correlation purposes as those for fish.
On the Approach to Intelligent Data Analysis in the Social Sciences

— The paper considers the intelligent data analysis in subject areas with open sets of empirical data, where formal apparatus is absent and the procedures for the theories’ formation are heuristic. Approaches to solving these problems by means of the JSM Method of automated support for research are described. Implementing JSM Method intelligent systems are partner human-machine systems that automatically reproduce an imitation of the set of natural (rational) intelligence’ abilities. In the interactive mode, it is possible to imitate such abilities as adaptation and correction of knowledge and the choice of reasoning strategy. JSM Socio intelligent system has been created to solve various problems of sociological data analysis. The generation of hypotheses on behavior prediction and its determinants, empirical regularities revealing in expanding empirical data give reason to consider the JSM Method as a tool for knowledge discovery in the social sciences.
The Text-Message Discourse Completion Task: A Method for the Collection of Text-Messages

The process of collecting text-messages for scholarly investigation poses researchers with a number of challenges related to communicative context, privacy, and data transferal. This paper explains a data collection method that largely overcomes these challenges. The method is a form of Discourse Completion Task in which study participants are asked to send from their mobile phones the text-messages they would send in certain hypothetical scenarios. While similar methods have been used in some previous studies, this paper presents the first full explanation and justification of the text-message DCT method, and includes an explanation of the how the method was used successfully in a study of punctuation marks in text-messages.
Portable offline indoor object recognition system for the visually impaired

Abstract This article presents an indoor assistive system that addresses the challenges faced by visually impaired individuals. The proposed system helps the visually impaired individuals to move indoor and make them independent of any external assistance. The proposed system consists of a camera with a processing unit and an accompanying Time-of-Flight sensor providing an efficient, convenient and cost-effective solution. The proposed system achieves average object detection accuracy of 73.34% and a 5% error margin in detecting the distance and length of detected objects. The performance comparison with two existing systems shows that the proposed system provides a very close performance to the benchmarks with advantages of portability easy-to-use and no requirement for cloud services.
Determination for Inflow Routes of Insects Caused by Manufacturing and Drinking Process in Korean Rice-wine

To determine the possibility of inflow routes for insect in Korean rice-wine, we investigated catalase (CAT) activity and oxygen bubble formation through stereoscopic microscope in pasteurized insects (bee, fly, fruit fly) treated with . The pasteurization condition was 30 and 60 min heating at 65 and . Bubble was not shown under the CAT level of 50 . CAT activity level was more sensitive compared with oxygen bubble formation, but the CAT activity had correlation with oxygen bubble formation method. We also tested bubble formation at room temperature, 65 and for 30 days. The bubble formation was slowly decreased in all insects at room temperature during experiment, but it was rapidly decreased at 65 and . The fruit fly was not shown bubble formation at 65 and . These results suggest that bubble farmation method was a new simple method for inflow routes of insects caused by manufacturing and drinking process in pasteurized Korean rice-wine.
Synthesis of Metalloporphyrins and Metallochlorins for Immobilization on Electrode Surfaces

New metalloporphyrinoid complexes functionalized with two pyrrole groups and bearing two phosphonate residues have been synthesized starting from readily accessible deuterioporphyrin derivatives. The functional pyrrole groups allow the formation of metalloporphyrinoid films on electrodes by oxidative electropolymerization. On the other hand, the phosphonate functionalities could be used to immobilize the metalloporphyrinoids on polycrystalline titanium dioxide electrodes. Electrodes modified by immobilization of the metalloporphyrinoid complexes have been shown to be useful for electrocatalysis and as electrochemical sensors.
Supremo: Cloud-Assisted Low-Latency Super-Resolution in Mobile Devices

We present <inline-formula><tex-math notation="LaTeX">${\sf Supremo}$</tex-math><alternatives><mml:math><mml:mi mathvariant="sans-serif">Supremo</mml:mi></mml:math><inline-graphic xlink:href="kim-ieq1-3025300.gif"/></alternatives></inline-formula>, a cloud-assisted system for low-latency image super-resolution (SR) in mobile devices. As SR is extremely compute-intensive, we first further optimize state-of-the-art DNN to reduce the inference latency. Furthermore, we design a mobile-cloud cooperative execution pipeline composed of specialized data compression algorithms to minimize end-to-end latency with minimal image quality degradation. Finally, we extend <inline-formula><tex-math notation="LaTeX">${\sf Supremo}$</tex-math><alternatives><mml:math><mml:mi mathvariant="sans-serif">Supremo</mml:mi></mml:math><inline-graphic xlink:href="kim-ieq2-3025300.gif"/></alternatives></inline-formula> to video applications by formulating a dynamic optimal control algorithm to design <inline-formula><tex-math notation="LaTeX">${\sf Supremo-Opt}$</tex-math><alternatives><mml:math><mml:mrow><mml:mi mathvariant="sans-serif">Supremo</mml:mi><mml:mo>-</mml:mo><mml:mi mathvariant="sans-serif">Opt</mml:mi></mml:mrow></mml:math><inline-graphic xlink:href="kim-ieq3-3025300.gif"/></alternatives></inline-formula>, which aims to maximize the impact of SR while satisfying latency and resource constraints under practical network conditions. <inline-formula><tex-math notation="LaTeX">${\sf Supremo}$</tex-math><alternatives><mml:math><mml:mi mathvariant="sans-serif">Supremo</mml:mi></mml:math><inline-graphic xlink:href="kim-ieq4-3025300.gif"/></alternatives></inline-formula> upscales 360p image to 1080p in 122 ms, which is 43.68× faster than on-device GPU execution. Compared to cloud offloading-based solutions, <inline-formula><tex-math notation="LaTeX">${\sf Supremo}$</tex-math><alternatives><mml:math><mml:mi mathvariant="sans-serif">Supremo</mml:mi></mml:math><inline-graphic xlink:href="kim-ieq5-3025300.gif"/></alternatives></inline-formula> reduces wireless network bandwidth consumption and end-to-end latency by 15.23× and 4.85× compared to baseline approach of sending and receiving whole images, and achieves 2.39 dB higher PSNR compared to using conventional JPEG to achieve similar data size compression. Furthermore, <inline-formula><tex-math notation="LaTeX">${\sf Supremo-Opt}$</tex-math><alternatives><mml:math><mml:mrow><mml:mi mathvariant="sans-serif">Supremo</mml:mi><mml:mo>-</mml:mo><mml:mi mathvariant="sans-serif">Opt</mml:mi></mml:mrow></mml:math><inline-graphic xlink:href="kim-ieq6-3025300.gif"/></alternatives></inline-formula> guarantees robust performance in practical scenarios.
A Compact Ankle Exoskeleton With a Multiaxis Parallel Linkage Mechanism

This article proposes a compact ankle exoskeleton with a multiaxis parallel linkage mechanism. By applying torques to the ankle joint, it can generate dorsi- and plantar-flexion motions. The design variables of the mechanism were analyzed and optimized to accommodate up to 12 N·m of torque within a thickness constraint of 40 mm. The parallel linkage structure of the proposed mechanism requires that moving mechanical parts must be thin and located at the front of the shank. Using the data from foot pressure sensors, the device can recognize the gait phases. The output torque and angle data were collected to evaluate the performance of the device.
Design and Experiment of a Dual-Band 1 Bit Reconfigurable Reflectarray Antenna With Independent Large-Angle Beam Scanning Capability

A 1 bit reconfigurable reflectarray antenna with independent dual-band phase controlling and large-angle beam scanning capabilities is designed and experimentally verified. By exploiting polarization orthogonality, the proposed element achieves 1 bit phase shift at 12.5 GHz for x-polarization and at 14.25 GHz for y-polarization with only two p-i-n diodes in each element. The element structure and biasing circuits are optimized. Low element magnitude loss, cross polarization, and out-of-band interference are verified. A prototype with 256 elements is fabricated and tested. The measured gains are 22.3 dBi at 12.6 GHz and 22.5 dBi at 14.25 GHz, respectively. 2-D scanned beams up to ±60° at both frequencies are measured to demonstrate the independent dual-band beam scanning capability. The proposed design can transmit and receive orthogonally polarized signals simultaneously and is believed to be a promising candidate for the point-to-point full-duplex mobile communication applications.
Yield and Stability for agronomic and seed quality traits of common bean genotypes under Mediterranean conditions

Common bean is the most significant pulse in Mediterranean countries and high yield performance is required to become commercially successful. Seven common bean genotypes were evaluated for yield and stability along with their interrelationship with agronomical, physicochemical and quality characteristics. An analysis of variance was conducted to test main effects and interactions between plant traits and environments. Significant variation among genotypes occurred for seed yield and a strong positive correlation was observed between seed yield and pods m-2. High Genetic Coefficient of Variation (GCV) values combined with high heritability for traits as seed yield, cooking time, hydration capacity and protein content were recorded. The GGE biplot analysis indicated two cultivars as superior genotypes that combine high yield, stability, short cooking time and high protein content. Furthermore, a local population assessed as promising genetic material for the selection of elite lines with high yield and short cooking time.
Load and Antibiotic Susceptibility Pattern of Microorganisms in Muscle Foods Sold in Akure, Southwest Nigeria

Background: Muscle foods, notably red meat, poultry meat, and fish are the first choice of animal source food with adequate protein for human. The present study was undertaken to analyze the load and antibiotic susceptibility pattern of microorganisms in muscle foods sold in Akure, Southwest Nigeria. Methods: Hundred muscle food samples, including meat and fish were collected from different locations (A-E) of Akure, Nigeria and examined microbiologically using cultural techniques, biochemical tests, and analytical profile index. Antibiotic susceptibility patterns were also determined in isolated microorganisms from muscle foods against different antibiotics. Data were analyzed using SPSS software version 17.0. Results: The highest (p<0.05) total viable bacterial count (8.3×106 CFU/g) were obtained from pork, including with 6.0×105 CFU/g for Staphylococcus and 5.8×105 CFU/g for Salmonella-Shigella. Mackerel collected from location D (Kings market) had the highest (p<0.05) bacterial count of 9.97×105 CFU/g, followed by 8.57×105 CFU/g, and 7.03×105 CFU/g in locations C and E, respectively. Low fungal counts were recorded ranged from 1.0×102 to 1.30×102 spore forming unit/g. The highest (p<0.05) occurrence of 26.50% was observed for Escherichia coli. The isolated microorganisms displayed varying degree of resistance (33.3 to 100%) to commonly used antibiotics. Conclusion: The microorganisms found in muscle foods from Akure, Nigeria could be considered as result of poor hygiene of the retailers or handlers. Also, presence of the multidrug resistant bacteria in muscle foods distributed in this region could pose a serious risk factor to public health.
Fog signaling has diverse roles in epithelial morphogenesis in insects

During embryogenesis, animals utilize a common set of morphogenetic processes, including tissue invagination and epithelial folding. Such processes have been intensively studied in several model animal systems, yet it is unclear to what extent conserved morphogenetic events are driven by the same molecular mechanisms. In Drosophila, gastrulation of the mesoderm and posterior gut are coordinated by the Fog signaling pathway. While these morphogenetic events are themselves deeply conserved, recent work has suggested that the involvement of Fog signaling may be restricted to a subset of higher flies. To address this question, we investigated the developmental role of Fog signaling in the beetle Tribolium castaneum, a species that is distantly related to Drosophila and exhibits a mode of embryogenesis that is broadly representative of insects. Like most insects (but not Drosophila), the Tribolium blastoderm epithelium undergoes a concerted array of morphogenetic events to generate a condensed germband that is encapsulated by two extraembryonic membranes. We found that, as in Drosophila, Fog signaling is involved in mesoderm internalization in Tribolium. In addition, this pathway is also required for both spreading and infolding of the blastoderm during germband formation, and internalization of the primordial germ cells. Lastly, we found that Fog signaling is required for Tribolium blastoderm cellularisation, and functional analysis of two other distantly related insects revealed this function to be deeply conserved. Together, our findings show that Fog signaling has an ancient role in early embryonic morphogenesis in insects, and is fundamentally required for formation of the blastoderm epithelium.
Anti-Microbial and Anti-Oxidant Activities of Ziziphus Spina Christi, Sudanese Medicinal Plant

This work is an anti-Microbial and anti-Oxidant activity of Ziziphus spina Christi based on four selected bacteria: Escherichia coli, Pseudomonas aeruginosa, Bacillus subtilis and Staphylococcus aureus. These species were collected and prepared in Sudan. The concentrations were carried out and compared with standard control sample, the suspension of anti-microbial activities have shown different results in Fagonia cretica. The anti-oxidant activity is the ability of bioactive compounds to prevent, delay and protect against oxidant of virus substrates such as DNA and lipid materials, both in living organisms (e. g. human) and in food products. The result showed an anti-oxidant activity based on standard liquid reagent [1].
Phylogenetic analysis of deformed wing virus, black queen cell virus and acute bee paralysis viruses in Turkish honeybee colonies

Honeybees are the most important pollinators for food plants and flowering plants; and therefore they are indispensable for agricultural food cultivation and ecological balance (28). Unfortunately, great losses have recently been observed in honeybee populations (1, 20). There was a loss of approximately 10 million bees in the United States in the winter of 2006-2007 when a factor causing the sudden disappearance of all adult bees in a hive caused colony collapse disorder (CCD) in honeybees (11). It is believed that the reduction in honeybee populations is caused by parasitic diseases, genetic factors, severe seasonal weather conditions, malnutrition, and exposure to pesticides (13, 27). In addition, it is known that colony losses are caused by viruses that adversely affect bee health (10, 45). The field of bee viral ecology has expanded dramatically since the detection of the first honeybee virus in 1913 (8, 46). So far, more than 24 bee viruses have been detected. Most of them are single-stranded, positive-sense RNA viruses of the Picornaviridae family (6, 8). The Picornaviridae family include the common bee viruses of the Dicistroviridae family, such as Israeli acute paralysis virus (IAPV), kashmir bee virus (KBV), acute bee paralysis virus (ABPV), black queen cell virus (BQCV) as well as viruses of the Iflaviridae family, such as deformed wing virus (DWV), kakugo virus, varroa destructor virus-1/DWV-B, sacbrood virus (SBV), and slow bee paralysis virus (22). So far, DWV has been the most frequently detected bee virus in honey bees (9, 21, 33, 36, 37). It is a nonPhylogenetic analysis of deformed wing virus, black queen cell virus and acute bee paralysis viruses in Turkish honeybee colonies
GAN as a generative architectural plan layout tool: A case study for training DCGAN with Palladian Plans and evaluation of DCGAN outputs

This study aims to produce Andrea Palladio’s architectural plan schemes autonomously with generative adversarial networks(GAN), and to evaluate the plan drawing productions of GAN as a generative plan layout tool. GAN is a class of deep neural nets which is a generative model. In deep learning models, repetitive processes can be automated. Architectural drawing is a repetitive process in the act of architecture and plan drawing process can be made automated. For the automation of plan production system we used deep convolutional generative adversarial network (DCGAN) which is a subset of GAN models. And we evaluated the outputs of the DCGAN Palladian Plan scheme productions. Results show that not geometric similarities (shapes), but probabilistic models are at the centre of the generative system of GAN. For this reason, it should be kept in mind that while GAN algorithms are used as a generative system, they will produce statistically close visual models rather than geometrically close models. Nonetheless, GAN can generate both statistically and geometrically close models to the dataset. In first section we introduced a brief description about the place of the drawing in architecture field and future foresight of architecture drawings. In the second section, we gave detailed information about the literature on autonomous plan drawing systems. In the following sections, we explained the methodology of this study and the process of creating the plan drawing dataset, the algorithm training procedure, at the end we evaluated the generated plan schemes with rapid scene categorization and Frechet inception score.
Feature Extraction Using Convolutional Neural Networks for Anomaly Detection

—Anomaly detection is an import field of study, which has many applications, e.g. , fraud and disease detection. It consists of identifying non-conforming patterns regarding an expected behavior. Despite the improvements provided by deep learning techniques in several areas, their use for anomaly detection is not widespread. The main reason is the difficulty to learn discriminative models when all the information available regards one class, or the classes are highly unbalanced. We propose a new deep learning-based solution for the anomaly detection problem. It consists of a hybrid system, composed of a feature extractor and a one-class classifier. The feature extractor is a convolutional neural network, trained as a regressor to learn a predefined distribution. The classifier is the one-class support vector machine, which performs the anomaly detection by using the outputs provided by the feature extractor. We used a gearbox failure diagnosis data set to assess the performance of our proposal. We also compared our anomaly detection system with other deep learning-based techniques commonly found in the literature. Our proposal presented an average accuracy close to 0.95, outperforming techniques based on the reconstruction error and hybrid models.
A Fully Integrated 27-dBm Dual-Band All-Digital Polar Transmitter Supporting 160 MHz for Wi-Fi 6 Applications

This work presents a dual-band polar digital transmitter (P-DTX) based on a digitally controlled two-point edge interpolation digital-to-time converter, which is capable of supporting Wi-Fi 6 applications. The proposed P-DTX is fabricated in a standard 28-nm CMOS process. The 2.5/5GHz digital power amplifiers (DPAs) reach a maximum power (<inline-formula> <tex-math notation="LaTeX">$P_{\mathrm {MAX}}$ </tex-math></inline-formula>)/power efficiency (PE) of 27 dBm/53% and 27dBm/37%, respectively. The transmitter meets an error vector magnitude (EVM)/DPA PE/total TX power dissipation of −30.5 dB/33%/532 mW for the low band and −29 dB/26%/718 mW for the high band at 6-dB backoff (dBBO) from <inline-formula> <tex-math notation="LaTeX">$P_{MAX}$ </tex-math></inline-formula>. An EVM as low as −40 dB is achieved using digital pre-distortion at 7–8 dBBO, for 20–160-MHz signal bandwidths, thus demonstrating MCS11 1024-QAM OFDM Wi-Fi 6 operation.
Broadband Plasma Impedance Measurements and Determination of Plasma Parameters

Abstract : A small spherical probe is used in conjunction with a network analyzer to determine the impedance of the probe-plasma system over a wide frequency range. Impedance curves are in good agreement with accepted circuit modes with plasma-sheath and electron plasma frequency resonances easily identifiable. Phase measurements show clear transitions between capacitive and inductive modes as predicted by the model. Sheath thickness and absolute electron density are determined from the location of these transitions. In addition, much larger power absorption is observed at the sheath plasma resonance than is predicted by collisional absorption.