Miracle-dz/UniFAR-FTUs huggingface dataset:
ESTUDO DA REMOÇÃO DE CORANTES REATIVOS PELO PROCESSO DE ADSORÇÃO USANDO ARGILA CHOCOBOFE IN NATURA

RESUMO – O controle da poluicao das aguas tem tido uma importância crescente nos ultimos anos. Dentro deste contexto, a industria textil vem se destacando, pois sao geradoras de uma grande quantidade de efluentes que afetam a qualidade das aguas. Diversos processos estao sendo adotados para o tratamento destes efluentes, entre eles o processo de adsorcao. Neste trabalho estudou-se a remocao dos corantes reativos azul BF5G, vermelho BF-4B e do amarelo BF-3R de um efluente sintetico utilizando como adsorvente a argila Chocobofe in natura. Os ensaios foram realizados com temperatura e agitacao constante de, respectivamente, 28°C e 180 rpm, por um tempo de 24 horas. Foi usado um planejamento composto central rotacional cujas variaveis estudadas foram a relacao entre massa de adsorvente por 100 mL de solucao assim como o pH da solucao. O maior percentual de remocao foi de 91,73% para o corante reativo azul BF-5G, mostrando que a argila apresenta-se promissora para o processo de adsorcao.
The Three-Dimensional Morphology of Femoral Medullary Cavity in the Developmental Dysplasia of the Hip

Objective This study aimed to assess the morphology of the femoral medullary canal in subjects with developmental dysplasia of the hip (DDH) with the intent of improving the design of femoral stems in total hip arthroplasty. Methods Computed tomography images of 56 DDH hips, which were classified into Crowe I to Crowe IV, and 30 normal hips were collected and used to reconstruct three-dimensional morphology of the femoral medullary cavity. Images of twenty-one cross sections were taken from 20 mm above the apex of the lesser trochanter to the isthmus. The morphology of femoral cavity was evaluated on each cross section for the longest canal diameter, the femoral medullary torsion angle (FMTA), and the femoral medullary roundness index (FMRI). Results The Crowe IV group displayed the narrowest medullary canal in the region superior to the end of the lesser trochanter, but then gradually aligned with the medullary diameter of the other groups down to the isthmus. The FMTA along the femoral cavity increased with the severity of DDH, but the rate of variation of FMTA along the femoral canal was consistent in the DDH groups. The DDH hips generally showed a larger FMRI than the normal hips, indicating more elliptical shapes. Conclusion A femoral stem with a cone shape in the proximal femur and a cylindrical shape for the remainder down to the isthmus may benefit the subjects with severe DDH. This design could protect bone, recover excessive femoral anteversion and facilitate the implantation in the narrow medullary canal.
Robo2 Receptor Gates the Anatomical Divergence of Neurons Derived From a Common Precursor Origin

Sensory information relayed to the brain is dependent on complex, yet precise spatial organization of neurons. This anatomical complexity is generated during development from a surprisingly small number of neural stem cell domains. This raises the question of how neurons derived from a common precursor domain respond uniquely to their environment to elaborate correct spatial organization and connectivity. We addressed this question by exploiting genetically labeled mouse embryonic dorsal interneuron 1 (dI1) neurons that are derived from a common precursor domain and give rise to spinal projection neurons with distinct organization of cell bodies with axons projecting either commissurally (dI1c) or ipsilaterally (dI1i). In this study, we examined how the guidance receptor, Robo2, which is a canonical Robo receptor, influenced dI1 guidance during embryonic development. Robo2 was enriched in embryonic dI1i neurons, and loss of Robo2 resulted in misguidance of dI1i axons, whereas dI1c axons remained unperturbed within the mantle zone and ventral commissure. Further, Robo2 profoundly influenced dI1 cell body migration, a feature that was partly dependent on Slit2 signaling. These data suggest that dI1 neurons are dependent on Robo2 for their organization. This work integrated with the field support of a model whereby canonical Robo2 vs. non-canonical Robo3 receptor expression facilitates projection neurons derived from a common precursor domain to read out the tissue environment uniquely giving rise to correct anatomical organization.
Provably robust classification of adversarial examples with detection

Adversarial attacks against deep networks can be defended against either by building robust classiﬁers or, by creating classiﬁers that can detect the presence of adversarial perturbations. Although it may intuitively seem easier to simply detect attacks rather than build a robust classiﬁer, this has not bourne out in practice even empirically, as most detection methods have subsequently been broken by adaptive attacks, thus necessitating veriﬁable performance for detection mechanisms. In this paper, we propose a new method for jointly training a provably robust classiﬁer and detector. Speciﬁcally, we show that by introducing an additional “abstain/detection” into a classiﬁer, we can modify existing certiﬁed defense mechanisms to allow the classiﬁer to either robustly classify or detect adversarial attacks. We extend the common interval bound propagation (IBP) method for cer-tiﬁed robustness under (cid:96) ∞ perturbations to account for our new robust objective, and show that the method outperforms traditional IBP used in isolation, especially for large perturbation sizes. Speciﬁcally, tests on MNIST and CIFAR-10 datasets exhibit promising results, for example with provable robust error less than 63 . 63% and 67 . 92% , for 55 . 6% and 66 . 37% natural error, for (cid:15) = 8 / 255 and 16 / 255 on the CIFAR-10 dataset, respectively.
Noise against noise: stochastic label noise helps combat inherent label noise

The noise in stochastic gradient descent (SGD) provides a crucial implicit regularization effect, previously studied in optimization by analyzing the dynamics of parameter updates. In this paper, we are interested in learning with noisy labels, where we have a collection of samples with potential mislabeling. We show that a previously rarely discussed SGD noise, induced by stochastic label noise (SLN), mitigates the effects of inherent label noise. In contrast, the common SGD noise directly applied to model parameters does not. We formalize the differences and connections of SGD noise variants, showing that SLN induces SGD noise dependent on the sharpness of output landscape and the conﬁdence of output probability, which may help escape from sharp minima and prevent overconﬁdence. SLN not only improves generalization in its simplest form but also boosts popular robust training methods, including sample selection and label correction. Speciﬁcally, we present an enhanced algorithm by applying SLN to label correction. Our code is released 1 .
"dataRide" - Android-Applikation zur Messung der Auswirkung eines Tempolimits auf Autobahnen / "dataRide" - Android Application to Capture the Personal Impact of a Speed Limit on High

: In der kontroversen Diskussion um die Verringerung des Emissionsausstoßes mangelt es häufig an belegbaren Auswirkungen von Klimaschutzmaßnahmen, ebenso im Fall des Tem-polimits von 130 km/h auf Autobahnen. Um das hier oft genannte Gegenargument der längeren Fahrt-dauer messbar zu machen, wird mit dataRide eine GPS-basierte App entwickelt. Der implementierte Algorithmus wertet das gefahrene Geschwindigkeitsprofil aus und berechnet für alle Fahrtabschnitte, die mit höherer Geschwindigkeit befahren werden, einen zusätzlichen Zeitanteil, der bei Tempo 130 km/h erforderliche wäre, um die gleiche Distanz zurückzulegen. Für eine hohe Qualität der Berechnun-gen werden die Positionsdaten gefiltert. Die angewendeten Filter sollen qualitativ minderwertige Posi-tionen von der Verarbeitung ausschließen. Die Auswertung erster Testfahrten ergab, dass eine Zeiter-sparnis möglich ist, wobei die subjektive Wahrnehmung im Vergleich zur objektiven Messung meist einen merklich höheren Zeitgewinn abschätzt. Auf längeren Autobahnstrecken, die außerhalb der Hauptverkehrszeiten stattfinden, kann eine merkliche Zeitersparnis durch
Simultaneous Determination of Residual Chlorine and Volatile Chlorinated Organic Compounds in Vegetables by the Head Space Method

In order to elucidate the mechanism of formation of volatile chlorinated organic compounds (VCOC) from vegetables treated with sodium hypochlorite, simultaneous determination of residual chlorine and VCOC was studied. A sample was added to a head space analysis vessel filled in advance with phosphate buffer (pH 7.0) and potassium cyanide, then the vessel was sealed and allowed to stand for 30 minutes. The obtained gas was subjected to ECD-GC for determination. The substance formed in soybean sprouts immersed in sodium hypochlorite solution (200ppm) was identified as chloroform by GC/MS. Residual chlorine and chloroform were detected in the sprouts at levels of 12. 1μg/g and 114ng/g respectively. The analysis of 66 samples of commercially available vegetables with the present method revealed residual chlorine ranging from 0.14 to 3. 7μg/g and chloroform from 15 to 241ng/g in four samples of soybean sprouts, etc.
Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs

Modeling time-evolving knowledge graphs (KGs) has recently gained increasing interest. Here, graph representation learning has become the dominant paradigm for link prediction on temporal KGs. However, the embedding-based approaches largely operate in a black-box fashion, lacking the ability to interpret their predictions. This paper provides a link forecasting framework that reasons over query-relevant subgraphs of temporal KGs and jointly models the structural dependencies and the temporal dynamics. Especially, we propose a temporal relational attention mechanism and a novel reverse representation update scheme to guide the extraction of an enclosing subgraph around the query. The subgraph is expanded by an iterative sampling of temporal neighbors and by attention propagation. Our approach provides human-understandable evidence explaining the forecast. We evaluate our model on four benchmark temporal knowledge graphs for the link forecasting task. While being more explainable, our model obtains a relative improvement of up to 20 % on Hits@1 compared to the previous best temporal KG forecasting method. We also conduct a survey with 53 respondents, and the results show that the evidence extracted by the model for link forecasting is aligned with human understanding.
Ju n 20 07 TRANSPORTATION-INFORMATION INEQUALITIES FOR MARKOV PROCESSES

In this paper, one investigates the following type of transportation-information TcI inequalities: α(Tc(ν, μ)) ≤ I(ν|μ) for all probability measures ν on some metric space (X , d), where μ is a given probability measure, Tc(ν, μ) is the transportation cost from ν to μ with respect to some cost function c(x, y) on X , I(ν|μ) is the FisherDonsker-Varadhan information of ν with respect to μ and α : [0,∞) → [0,∞] is some left continuous increasing function. Using large deviation techniques, it is shown that TcI is equivalent to some concentration inequality for the occupation measure of a μreversible ergodic Markov process related to I(·|μ), a counterpart of the characterizations of transportation-entropy inequalities, recently obtained by Gozlan and Léonard in the i.i. d. case [24]. Tensorization properties of TcI are also derived. Let d be a metric. One denotes W1I := TdI and W2I := Td2I the transportationinformation inequalities associated with the metric cost c = d and the quadratic cost c = d. It is proved that W2I is stronger than Poincaré inequality, weaker than log-Sobolev inequality, and equivalent to it when Bakry-Emery’s curvature is bounded from below. For the trivial metric cost d, one establishes the sharp transportation-information inequality W1I in terms of the spectral gap. In particular, a Hoeffding type concentration inequality for Markov processes is derived and one shows that W1I implies a Poincaré inequality. For a general metric cost d, it is established that the spectral gap in the space of Lipschitz functions of the Markov diffusion process implies W1I. A sharp estimate of the constant is obtained for general one-dimensional diffusion processes. Finally, a Lyapunov function condition for W1I is proposed. It may be applied to a wide class of examples; some examples are worked out.
Phe-MetNH2 Terminal Bombesin Subfamily Peptides: Potential Induced Changes in Adsorption on Ag, Au, and Cu Electrodes Monitored by SERS

Surface-enhanced Raman scattering, electrochemistry, and generalized two-dimensional correlation analysis methods were used to characterize phyllolitorin and a peptide derived from Pseudophryne guntheri (PG-L). Phyllolitorin and PG-L were deposited onto Ag, Au, and Cu electrode surfaces at different applied electrode potentials in an aqueous solution at physiological pH, and the orientations and adsorption mechanisms of peptides were determined based on the enhancement, broadening, and shifts in the wavenumbers of specific bands. On the basis of these analyses, specific conclusions were drawn regarding the peptide geometry and changes in the geometry that occurred when the electrode type and applied electrode potential were varied. The phyllolitorin and PG-L deposited onto the Ag, Au, and Cu electrode surfaces showed bands that were due to the vibrations of moieties in contact with or in close proximity to the electrode surfaces and were thus located on the same side of the polypeptide backbone. These moi.
2 3 M ar 2 01 5 Amplitude and phase dynamics of noisy oscillators

A description in terms of phase and amplitude variables is given, for nonlinear oscillators subject to white Gaussian noise described by Itô stochastic differential equations. The stochastic differential equations derived for the amplitude and the phase are rigorous, and their validity is not limited to the weak noise limit. If the noise intensity is small, the equations can be efficiently solved using asymptotic expansions. Formulas for the expected angular frequency, expected oscillation amplitude and amplitude variance are derived using Itô calculus.
Special Submission ICNIRP NOTE : CRITICAL EVALUATION OF TWO RADIOFREQUENCY ELECTROMAGNETIC FIELDANIMAL CARCINOGENICITY STUDIES

Final results are now available from two large animal studies that investigated whether long-term exposure to radiofrequency (RF) electromagnetic fields (EMFs) associated with mobile (or cell) phones or base stations is carcinogenic; these studies hale from theUSNational Toxicology Program (NTP) and theRamazzini Institute in Italy, respectively. In both cases, the authors concluded that they had demonstrated that RF EMFs are carcinogenic in male rats but not in female rats or mice (NTP only). The International Commission on Non-Ionizing Radiation Protection (ICNIRP) has evaluated theirmethods and findings for potential information about the carcinogenicity of exposure to RF EMFs. We found that these studies had important strengths; for example, both followed good laboratory practice (GLP), both used much larger numbers of animals than previous research, and both exposed animals over the whole of their lives.We also noted somemajor weaknesses, including a lack of blinding, difficulties interpreting statistical analyses due to the association between longer lifespans and tumor occurrence in the exposed rats (NTP only), and failure to account for chance. ICNIRP concluded that these substantial limitations preclude conclusions being drawn concerning RF EMFs and carcinogenesis. Health Phys. 118(5):525–532; 2020
Endocytosis in proliferating , quiescent , and 1 terminally-differentiated cells 2 3 4

4 Claudia Hinze and Emmanuel Boucrot 5 6 1 Institute of Structural and Molecular Biology, Division of Biosciences, University College London, London WC1E 6BT, UK 7 2 Institute of Structural and Molecular Biology, Department of Biological Sciences, Birkbeck College, London WC1E 7HX, UK 8 *Correspondence: e.boucrot@ucl.ac. uk 9 10 11 Abstract 12 Endocytosis mediates nutrient uptake, receptor internalization and the regulation of cell signaling. 13 It is also hijacked by many bacteria, viruses and toxins to mediate their cellular entry. Several 14 endocytic routes exist in parallel, fulfilling different functions. Most studies on endocytosis have 15 used transformed cells in culture. However, as the majority of cells in an adult body have exited 16 the cell cycle, our understanding is biased towards proliferating cells. Here, we review the 17 evidence of endocytosis not only in dividing, but also in quiescent, senescent or terminally18 differentiated cells. During mitosis, residual endocytosis is dedicated to the internalization of 19 caveolae and specific receptors. In non-dividing cells, Clathrin-mediated endocytosis (CME) is 20 active, but alternative processes, such as caveolae, macropinocytosis and Clathrin-independent 21 routes, vary widely depending on cell types and functions. Endocytosis supports the quiescent 22 state by either up-regulating cell-cycle arrest pathways or down-regulating mitogen-induced 23 signaling, thereby inhibiting cell proliferation. Endocytosis in terminally differentiated cells, such 24 as skeletal muscles, adipocytes, kidney podocytes or neurons, supports tissue-specific functions. 25 Finally, uptake is down-regulated in senescent cells, making them insensitive to proliferative 26 stimuli by growth factors. Future studies should reveal the molecular basis for the differences in 27 activities between the different cell states. 28 29 30 Introduction 31 Endocytosis is a ubiquitous cellular process essential for growth and survival. Extracellular 32
Determination of Rutin and Quercetin in Folium Apocyni Venety by RP-HPLC

Objective:To develop an HPLC method for determination of rutin and quercetin in Folium apocyni venety.Methods:Analyses were carried out using a kromasil C18 column(4.6 mm×250 mm,5μm). The mobile phase was A(methanol)-B(0.08% phosphoric acid solution)with gradient elution and the flow rate was 1.0mL/min,the UV detector was set at 360nm.Results:A linear relationship of rutin was good at the range of 0.42~7. 10μg(r=0.9998)and quercetin was good at the range of 0.011~0. 19μg(r=0.9997). The average recovery of rutin was 98.77%(RSD%=1.2) and of quercetin was 99.19%(RSD%=1.8). Conclusion:The method is simple,accurate and good reproducibility.It is suitable for the simultaneous determination of rutin and quercetin in Folium apocyni venety.
Spikes in Agile Software Development: An Empirical Study

Spikes can be an essential component of the agile development cycle, because they assist the teams, for both technical and functional issues, to identify any uncertainty in a user story, leading to a more efficient solution to the problem. The use of spikes in agile software development (ASD) can enable organizations to produce quality software by employing the required technical expertise, planning the entire development cycle and ensuring that the client’s requirements are adhered to. This study aims to examine the use of spikes in ASD. It explores the role, efficiency and efficacy of spikes in various software development domains through the different agile methods. An exploratory research design is adopted to achieve this purpose, whereby mixed methods are used to collect concurrently both qualitative and quantitative data from the experts recruited to the study. Through the survey, it establishes that the primary role of spikes is risk management through investigations to understand user stories and reveal any uncertainty. Conclusively, the study findings imply that spikes have become an essential tool for most agile teams in ASD. The efficiency and effectiveness that are reported show that the majority of experts in software development have realized the value of using spikes in their processes.
Molekül- und Kristallstrukturen zweier einkerniger Ruthenium(II)-Komplexe mit dem starken π·Akzeptorliganden 2,2'-Azobis(pyridin) (abpy): [mer-Ru(abpy)3](PF6)2 und Ru(abpy)2Cl2 (ctc-Isomer) / Molecular and Crystal Structures of Two Mononuclear Ruthenium(II) Complexes with the Strongly π Accepting Li

Crystal structure analyses of the title complexes have been carried out in order to establish their molecular configurations. The tris(chelate) complex dication in (1)(PF6)2 exhibits a mer configuration of pyridine and azo nitrogen atoms in an approximately octahedral arrangement at the metal. The dichlororuthenium bis(chelate) compound 2 has the halide ligands and the coordinated azo nitrogen centers in an equatorial cis arrangement whereas two pyridyl groups (one of each abpy ligand) occupy the axial positions. The bond distances from the metal to the nitrogen donor centers are systematically smaller for the stronger π accepting azo functions than for the more basic but less π acidic pyridyl groups, a result which differs from that obtained for Mo(0) and Cu(I) complexes of abpy. All Ru—N distances are shorter in the neutral dichloro complex 2. The non-coordinated pyridyl rings of the potentially tetradentate abpy ligands are tilted into approximate s-cis/(NN-trans)/s-trans positions (dihedral angle ω ≈ 145°) as to minimize steric repulsion, however, they do not coordinate to the metal (dRu-N > 327 pm). While there are no significant intermolecular interactions, the observed conformation implies that considerable structural reorganization is necessary for the formation of oligonuclear complexes.
Improvement in Semantic Address Matching using Natural Language Processing

Address matching is an important task for many businesses especially delivery and take out companies which help them to take out a certain address from their data warehouse. Existing solution uses similarity of strings, and edit distance algorithms to find out the similar addresses from the address database, but these algorithms could not work effectively with redundant, unstructured, or incomplete address data. This paper discuss semantic Address matching technique, by which we can find out a particular address from a list of possible addresses. We have also reviewed existing practices and their shortcoming. Semantic address matching is an essentially NLP task in the field of deep learning. Through this technique We have the ability to triumph the drawbacks of existing methods like redundant or abbreviated data problems. The solution uses the OCR on invoices to extract the address and create the data pool of addresses. Then this data is fed to the algorithm BM-25 for scoring the best matching entries. Then to observe the best result, this will pass through BERT for giving the best possible result from the similar queries. Our investigation exhibits that our methodology enormously improves both accuracy and review of cutting-edge technology existing techniques.
Modeling the Effect of Relative Humidity and Precipitation on Photovoltaic Dust Accumulation Processes

Dust is the cause of generation reduction of solar photovoltaic (SPV) modules from the day it is installed. Its deposition depends on geographical location of a module where it is installed, due to difference in meteorological events, causing variation in generation efficiency. In an earlier article, the dry deposition processes are modeled in which effects of relative humidity (RH) and precipitation are not considered. In this article, a more generalized mathematical model for dust deposition under varying humidity and precipitation condition is developed. The increase in deposition with different RH has been investigated using the developed model demonstrating an appreciable effect. The contribution of different types of precipitation is also included. The model based observations are utilized to calculate the energy generation under different meteorological events over a specific period and compared with the measured ones over the same time span from a 10 kWp SPV power plant at IIEST, Shibpur. The deviations are found to be within ±6% establishing the efficacy of the model.