Miracle-dz/UniFAR-FTUs huggingface dataset:
Modified structure of two-dimensional polythiophene derivatives by incorporating electron-deficient units into terthiophene-vinylene conjugated side chains and the polymer backbone: synthesis, optoelectronic and self-assembly properties, and photovoltaic application

Molecular engineering on the conjugated side chains of two-dimensional (2D) conjugated polymers was conducted and its effect on the optical, electronic, self-assembly and photovoltaic properties was investigated. A new monomer, M2, was prepared by capping (E)-3′-(2-(2,5-dibromothiophen-3-yl)vinyl)-4,4′′-bis(2-ethylhexyl)-2,2′:5′,2′′-terthiophene, M1, with two heptanoyl groups, and then coupled with 5,5′-bis(trimethylstannyl)-2,2′-bithiophene via microwave-assisted Stille polymerization to produce a series of polythiophene derivatives with terthiophene-vinylene conjugated side chains, TTV–PTs. Copolymer P2 shows a down-shifted HOMO energy level, enhanced solubility, and red-shifted absorption, as compared with P1; however, the bulky side chains significantly disrupt the coplanarity of thiophene rings in the polymer backbone and the ability to self-assemble into an ordered structure. The GIXRD measurements reveal that the original crystallinity of P1 can be recovered by simply inserting a few 2,1,3-benzothiadiazole units into the polythiophene main chain in P2 through a random copolymerization route to yield a terpolymer, P3, which possesses excellent crystallinity, thereby causing a three-fold increment in hole mobility. Furthermore, the P1/PC_(61)BM, P2/PC_(61)BM, and P3/PC61BM solar devices exhibit power conversion efficiencies of 3.89%, 1.52%, and 4.17%, respectively, under AM1.5G illumination with an intensity of 100 mW cm^(−2).
Comparison of Three Recent Personalization Algorithms

Personalization algorithms recommend products to users based on their previous interactions with the system. The products could be books, movies, or products in a retail system. The earliest personalization algorithms were based on factorization of the user-item matrix where each entry in the matrix would correspond to an interaction, or absence of an interaction of the user with the product. In this article, we compare three recently developed personalization algorithms. The three algorithms are Bayesian Personalized Ranking, Taxonomy Discovery for Personalized Recommendations and Multi-Matrix Factorization. We compare the three algorithms on the hit rate @ position 10 on a held out test set on 1 million users and 200 thousand items in the catalog of Target Corporation. We report our findings in table 1. We develop all three algorithms on an Apache Spark parallel implementation.
Protest Song and Countercultural Discourses of Resistance in 1960s Colombia

In Colombia, the tumultuous second half of the twentieth century kicked off with a fierce conflict between the Liberal and Conservative parties known as La Violencia (The Violence, ca. 1948-1958). Following a brief period of military rule (1953-1957), a bipartisan system of shared governance, the National Front (1958-1974), brought about some respite to the sectarian bloodshed. However, the exclusionary two-party system precipitated new lines of conflict between the state and communist guerrillas. Along with the political turmoil, the nation was also undergoing an era of profound cultural change. This essay examines three countercultural-oppositional movements that captivated a wide swath of youth in Colombia’s biggest cities during the 1960s: the canción protesta (protest song) movement, the rock and roll subculture denominated as nueva ola (new wave), and nadaísmo, a rabblerousing avantgarde literary movement. I analyze the correspondences and discontinuities in the ways adherents of these movements conceived of the ideal means to carry out social, cultural, and political resistance. While there were fundamental tensions between the “discourses of resistance” linked to these three countercultural streams, I argue that their convergence in the late 1960s facilitated the emergence of a commercial form of canción protesta.
Design the Mathematical Analysis & Circuit of Data Converters

The sustained initiative in the direction of technology scaling in Very Large Scale Integration design has given silicon chips for higher integration levels. Appreciations provide for the decrease in lowest chip size and an equivalent reduction in the voltage provides the power supply, discrete ckts have advanced since reserves in the area and power usage. This method grants numerous tasks in Complementary Metal Oxide Semiconductor ckt design. In oxide of the gate of transistors develops “thinner and power consumption” rises, a lesser voltage through supply is essentially used, even still it outcomes in performance ruin of analog ckts. In applications demanding low power consumption and modest conversion speed, one of the most recurrently used (data converter) designs is the SAR. The comparator architecture provides high-resolution.
Oxidative Decolorization of Direct Blue 71 Azo Dye by Saccharomyces cerevisiae Catalyzed by Nano Zero-valent Iron

The textile industries wastewater is one of the most serious sources of environmental pollution due to presence of the textile dyes. In the present study, five bacteria and three fungi were isolated on Mineral Salt Medium (MSM) supplemented with 200 mg/l of Direct Blue 71 azo dye. The most active isolate was identified by 18S-rRNA gene sequencing method as Saccharomyces cerevisiae. The decolorization and degradation of Direct Blue 71 azo dye by S. cerevisiae was investigated in Original Research Article Fetyan et al.; ARRB, 11(2): 1-12, 2016; Article no.ARRB. 28843 2 presence and absence of nano-scaled zero-valent iron (NZVI). The metabolic pathway of the dye degradation was elucidated using GC/MS analysis to identify the metabolites. This procedure was supported by enzymes assay and bioinformatics analysis. Dye-decay curves showed 96% dye removal after 72 hr. in absence of the catalyst; while it was 100% after 48 hr. in presence of 0.1% NZVI. High efficiency to decolorize Direct Blue71 enables this yeast to be used in biological treatment of industrial effluent containing such azo-dyes.
Effect of Substrate Culture System and Growing Media Type on Growth, Yield and Quality of Soilless Cultured Lettuce (cv. Green Star)

This study was carried out at Soilless Culture Unit, Agric Faculty. , Mansoura Univ., Egypt, from 2018 to 2020, to study the impact of three substrate culture systems (PVC pipes 4" in diameter with circular holes, slit PVC pipes 4" and slit PVC pipes 8") in A shape units and three growing media (peat moss, vermiculite and peat moss:vermiculite 1:1, v/v) and their interactions on growth and productivity of lattuga lettuce cv. Green Star grown soilless cultured. The experiment was designed as strip-plot design. The obtained results showed that, all studied traits as parameters of growth (plant height, foliage diameter/plant and leaves number and area/plant), yield (foliage and leaves fresh weights/plant and yield/unit) and leaves chemical composition (chlorophylls, N, P, K, .) significantly affected by all tested factors and their interactions. Concerning effect of substrate culture system, PVC pipes 4" with holes achieved the best significant means for all traits as compared to slit PVC pipes 8". Regarding influence of growing media, the mixture of peat and vermiculite gave the best significant values for all traits compared to vermiculite only. Respecting impact of combination treatments, the interaction treatment of PVC pipes 4" with circular holes+peat and vermiculite mixture had significant impacts on all forecited traits as compared to interaction one between slit PVC pipes 8"+vermiculite. Hence, it could be recommended that soilless culture of lettuce in PVC pipes 4" with holes+mixture of peat and vermiculite in A shape units is the best choice to achieve maximum growth and productivity of lettuce.
Research on plant diseases and insect pests identification based on CNN

Plant diseases and insect pests are common factors affecting plant growth, which is directly harmful to the quality of agricultural production. In order to identify and classify plant diseases and insect pests, in this paper, a detection method based on convolutional neural network (CNN) is proposed. Specifically, this paper first introduces the processes of plant diseases and insect pests data collection, and then the methodology for training detection model based on CNN is described. Finally, a series of comparative experiments are conducted to demonstrate the effectiveness of our model, and experimental results show our model achieves competitive performance on plant diseases and insect pests dataset.
Research on coal mine safety monitoring data storage based on HBase

In order to solve the problem of low storage efficiency and slow query speed when massive coal mine safety monitoring data is stored in relational database, a method of storage and retrieval based on HBase was designed. By combining the hash value of the combination of coal mine code, substation code and transducer code as well as the timestamp after inversion, the hot spot and data skew caused by the unreasonable design of rowkey in HBase were avoided. In order to improve the efficiency of data storage, the swing door trending (SDT) algorithm was used to compress the monitoring data, and in order to improve the efficiency of data retrieval, a secondary index based on ElasticSearch was constructed. The experimental results on the real coal mine data show that the efficiency of data storage and retrieval has been significantly improved.
Predictive analysis on hyperspectral images using deep learning

In the field of remote sensing, identification of hyperspectral images (HSI) has become a trending topic. Hyperspectral visualization also struggles with a non-linear relationship between the spectral data obtained and the actual material in the image. In the recent years new machine learning algorithms have been established as an efficient feature extraction method to tackle non-linear hitches efficiently and commonly cast-off in a variety of image classification tasks. In addition, deep learning was applied to identify the features of the HSI and demonstrated good performance inspired by various positive applications. This research paper provides us with an ordered review of deep learning Hyperspectral image classification literature available and it compares multiple propositions. Exclusively, we summarize the main HSI classification challenges that conventional machine learning approaches have not been able to solve successfully, and also incorporate the benefits of deep learning to address these issues. This study improved data abstraction with minimized uncertainty and enhanced HSI classification performance. Firstly, a CNN model is built to understand the HSI“s spectral functionality. The CNN is used as a pixel classifier; therefore, it operates only in the spectral domain.
The development and application of the hybrid centrifugal- dissolved air flotation system for wastewater treatment

Solid/liquid separations are integral part of any wastewater treatment system. Particles heavier than water are commonly separated in sedimentation clarifiers. On the other hand, particles with densities lower than that of water are most often separated with flotation systems. This manuscript describes the development of hybrid centrifugal dissolved air flotation system. The system was developed by combining high-energy centrifugal mixing of a liquid – liquid cyclone with pressurized dissolved air as a source of flotation bubbles. It is the only dissolved air flotation system in which 100% of the influent is aerated. Nucleation of bubbles occurs at the same time with nucleation of flocs inside the hydrocyclone columns. Solid/liquid separation occurs inside the columns under the influence of centrifugal forces. Tanks are only used for sludge skimming. Such design results in smaller footprint, sludge with higher solids content, lower coagulants and flocculants consumption and faster response times. These advantages are particularly important when using flotation as a pretreatment for membranes or bioreactors, since any overdose of chemicals can foul membranes or interfere with microorganisms metabolism. Classical hydrocyclone heads were also replaced with controlled mixing energy designed heads. Centrifugal forces with controlled mixing energy allow for application of high performance viscous flocculants and coagulants. Centrifugal vortex mixing is very efficient at activation of flocculant molecules and growth of large flocs without breaking either polymer chains or flocs.
Tracking the Pulse of a City – 3D Real Estate Price Heat Maps

This paper proposes the use of a semiparametric model based on a locally weighted approach that controls for dynamic agglomeration and diffusion effects in constructing localized housing price indices. Based on residential transaction records in Singapore, we create a three-dimensional interactive heat maps that allow for better measurement and visualization of spatial variations and heterogeneity in price appreciation. The heat map captures regional variations and temporal dispersions in price appreciation rates in the business cycle. Our methodology provides high-resolution information about price dynamics that could aid individual buyers, investors, and policy makers in making objective and informed decisions.
Coordinate Access System for Live Video Acquisition

Biometric systems are the most advanced access technology developed so far in the 21st century. It does not even require to carry key cards or passwords in mind. Today most of the commercial and private entries are protected by biometric recognition systems like fingerprint scans facial recognition, retina scans, voice matching, etc. Even our phones, laptops, and daily access devices are equipped with biometric systems. In banks, the PCs are secured by the combination of passwords and fingerprint scans. Biometric scans are considered the most secure access technology so far. Our paper is to examine whether they are secure? Should we rely on them with our hard-earned money and social identity? Is there any way we can use these services without actually compromising our data and security? Our observation is on our digital identity. Promoting digitization in every department brings our topic in the picture. All our information is saved in our phones, our daily routine, whom we talk, what we purchase, whom we chat, where we travel, etc. Almost every smartphone has biometric fingerprint locks which means our phones have our fingerprint scans in database and with internet blend it’s tethered worldwide. Our fingerprints are connected to our bank accounts, PAN Cards, Passport, and SIM Cards using Aadhar Cards. If someone has our fingerprint they can easily reach our Aadhar Card and through that to all our personal information. Most of the phone companies are Chinese, Korean, German, and American. As per their country policies, they must share their data with the governing authorities. We aim to create a security system without actually using the biometric scans. The system is an advancement of the biometric system but with better accuracy and intelligence. We interface image acquisition tools to live track the red color things. The web camera or inbuilt system lens can be used as the acquisition system. When the red color object is moved in front of the lens it shows the corresponding coordinate of the object shown. We use these x and y coordinate of the objects as the authentication points. If the correct value grant access is 120 ⩽ x ⩽ 122 means the system grants permission only if the value of x=120,121 or 122 is obtained. Now, this is tricky. Even if you know the correct value also, it is very difficult to bring the correct point. Think about if you don’t know the point and it is also possible to make it much difficult by adding y coordinate so if the desired point is x=10, y=12 (10, 12) it is way more difficult. Each point is a possible password candidate and the screen of any device have megapixels where 1 Megapixel=106 pixels. Each pixel is a possible key or password entry. It can keep all our information safe and secure. We use a microcontroller and motor driver connected gate to demonstrate the result.
Increased Trimethylamine N-oxide Contributes to Metabolic dysfunction in a Rat Model of PCOS and Decreases Mitochondrial function

Polycystic ovarian syndrome (PCOS) is a common endocrine disease in adolescents and women of childbearing age, also a common cause of female infertility. In recent years, studies have found that the occurrence of PCOS is related to changes in the intestinal flora. Trimethylamine N-oxide (TMAO) is an organic compound produced by intestinal microorganisms. However, the relationship between TMAO and PCOS remain mostly unexplored. The effects of TMAO on PCOS were assessed in vitro and in vivo. In a PCOS rat model, plasma TMAO, hormone and PI3K signaling levels were examined. In the process of in vitro maturation (IVM), immunofluorescence and confocal microscopy were used to detect the influence of adding different TMAO concentrations to the culture medium on oocytes. The fasting insulin (FINS), HOMA-IR, luteinizing hormone (LH), LH/follicle-stimulating hormone (FSH) and plasma TMAO levels of the PCOS rat group were significantly higher than those of the control group. Treatment with the TMAO inhibitor 3,3-dimethyl-1-butanol (DMB) alleviated metabolic disorder in PCOS rats. In PCOS rats, DMB improved the PI3K/Akt-related signaling pathway compared to no treatment. In IVM, the mitochondria of oocytes in the TMAO groups were aggregated and distributed, and mitochondrial membrane potential and ATP content were decreased. Apoptosis was more severe in the TMAO group than in the control group. TMAO worsened metabolic dysfunction in a rat model of PCOS and decreased the mitochondrial function of oocytes in the process of IVM.
Enhanced power generation for total‐cross‐tied PV array using simulated annealing under partial shading conditions

Shade phenomena affect the PV module's power output, introduce multiple peak points in PV characteristics, and shorten the expected life cycle of the module. In order to prevent this issue, PV modules should reconfigure, namely, altering the electrical connections between PV modules based on the irradiance without changing their physical locations. As a result, the shading effects can distribute over the array and increase power output. This paper proposed a novel reconfiguration technique based on the simulated annealing algorithm to distribute shading impacts on 9×9 total-cross-tied (TCT) PV array. In this work, the proposed algorithm produces a reconfigured connection matrix for 9×9 TCT array that can minimize the current differences in each row and improve the power output. Various shading conditions have been taken to investigate the proposed technique by obtained global maximum power point (GMPP), current at GMPP, power loss, fill-factor, and efficiency. Further, the performance of the proposed technique is validated with other existing reconfiguration methods under partial shadings. In comparison with existing methods, the result shows that the proposed simulated annealing enhanced the power generation of the TCT array under all shading patterns.
Farm Level Technical Efficiency of Paddy Production in Andhra Pradesh: An Empirical Evidence from the Cost of Cultivation Survey Data

The study calculated technical efficiency, Data Envelopment Analysis technique was employed, one of the non-parametric linear programing techniques to estimate the farm level technical efficiency of paddy production in Andhra Pradesh. This secondary data set contained 541 paddy producing farms/units across Andhra Pradesh state under five agro climatic zones viz North coastal, Godavari, Krishna, Southern and Scarce rainfall zones was studied. The results showed that the overall technical efficiency of the entire sample is 86.8 per cent inferring that about 13 per cent of the potential paddy yield is lost because of technical inefficiency in Andhra Pradesh. The yield gap was found to be 981.10 kg/ha in Godavari zone and a minimum yield gap of 335 kg/ha in North coastal zone with an average yield gap of 663 kg/ ha for Andhra Pradesh indicating domestic paddy production could be significantly increased only by improving farmers practices with the current amount of resource they are using. The study suggested that there should be exposure to the improved technologies, frequent trainings and experience sharing mechanisms with efficient resource management practices.
Evaluation of lethal control of introduced sugar gliders as a tool to relieve bird nest predation

Lethal control of invasive mammalian predators can be controversial and is rarely a ‘silver bullet’ for conservation problems. Evaluating the efficacy of lethal control is important for demonstrating the benefits to threatened species are real and detecting unexpected perverse outcomes. We implemented a pilot study to evaluate if lethal control of introduced sugar gliders Petaurus breviceps can reduce the rate of nest predation on Tasmanian hollow nesting birds including swift parrots (Lathamus discolor). Using a before-after-control-impact design, we implemented a lethal control treatment whereby we attempted to remove sugar gliders from three treatment sites. In each time period across sites we monitored quail eggs in nest boxes to record predation, and used cameras to detect sugar gliders. We caught nine sugar gliders over three treatment sites. The model best supported by the data indicated an effect of site × time period on both egg survival and the rate of glider detection on cameras. There was no support for an effect of treatment on our data. We also recorded predation of a real swift parrot nest by sugar gliders at a treatment site where we recorded no predation of quail eggs. Our pilot study shows that at small scales, intensive lethal control of gliders yields low capture rates and no discernible effect on the metrics we measured. We conclude that alternative approaches to controlling the impact of sugar gliders, such as habitat protection, are critical in this study system before lethal control is widely implemented as a management tool.
How do ethical orientation and ethical cultural affect auditor’s ethical behavior?

This research aims to test and provide empirical evidence of an ethical orientation of idealism, relativism, and ethical culture of the organization to auditor ethical behavior with experience as a moderation variable. This study used the census methods to all auditors in Badan Pemeriksa Keuangan Republik Indonesia the Provincial Representative of East Kalimantan. Data obtained by 33 respondents and processed with SmartPLS. The result shows that idealism and the ethical culture of the organization have a positive effect on the auditor's ethical behavior, whereas relativism has no negative effect on the auditor's ethical behavior. The moderation test result shows that the experience cannot moderate the ethical orientation of idealism and relativism on auditors' ethical behavior, however, experience has proven to moderate the ethical culture of the organization on auditors' ethical behavior.
POLY-THERMAL SOLUBILITY AND COMPLEX THERMAL ANALYSIS OF WATER-SOLUBLE TRIS-MALONATE OF LIGHT FULLERENE —

The poly-thermal solubility of the tris-malonate C60[=C(COOH)2]3 ‐ H2O binary system was investigated from 20 ‐ 80 C with the help of the method of isotherm saturation in ampoules. Concentration of tris-malonate C60[=C(COOH)2]3 in solutions was determined by light absorption at 330 nm. A diagram of the solubility is non-monotonic, consisting of 2 branches, which correspond to 2 different crystal-hydrates of C60[=C(COOH)2]3 and one non-variant point, corresponding to the saturation both crystal-hydrates. Complex thermal analysis of C60[=C(COOH)2]3 crystal hydrates, in equilibrium with a saturated aqueous solution at room temperature, was performed from 20 ‐ 600 C. Consecutive effects of the losses of C=O and C=O + H2O were determined.