Miracle-dz/UniFAR-FTUs huggingface dataset:
Virtual screening, Docking and ADMET analysis of bioactive compounds from the Indian medicinal plants for the treatment of Diabetes Mellitus

Background: Diabetes mellitus (DM) is a metabolic condition defined by persistent hyperglycemia caused by either insufficient insulin production by the pancreas or inability of peripheral target tissues to respond to normal insulin concentrations. The present study was designed to find the bioactive compounds from the Indian medicinal plants for the treatment of Diabetes mellitus using Virtual screening, Docking and ADMET studies. The 3D structure of phytocompounds was obtained using IMPPAT and PubChem database. The Lipinski rule of five for all the phytocompounds was tested using SwissADME. The sequence of the target protein was retrieved from the UniProt database and modelled using Swiss-Model. The docking studies were performed using PyRx and the results were analyzed using Discovery Studio 2021. Results: The phytocompounds Taraxerol, Obtusifoliol and Kulactone showed very good binding affinity like -9.7, -9.7 and -9.4 Kcal/mol, respectively. Toxicity studies were done for the best-interacted phytocompounds and the results showed that the compounds had very less toxicity. Conclusion: The present study concludes that Taraxerol from Coccinia grandis, Obtusifoliol and Kulactone from Azadirachta indica and may have a potential ability in the treatment of Diabetes Mellitus.
Single Pixel Event Tensor: A New Representation Method of Event Stream for Image Reconstruction

Event-based cameras are novel sensors that capture asynchronous changes in brightness with high temporal resolution. The output of an event camera is called an event. Events are a completely different form of data from images, and event streams are difficult to use directly. Reconstructing the event stream into an image is an efficient way to handle events. However, most current image reconstruction methods first transform the event stream into grid-based data, losing a significant amount of information in the temporal dimension in the transformation process. To fully exploit the temporal dimension of the event stream in the reconstruction process, we propose the single-pixel event tensor (SPET), a new representation of the event stream. SPET counts the number and polarity of events for a single pixel within a given time interval, effectively preserving information about the temporal dimension. We built an image reconstruction network called SPETNet, which is based on 1-D convolution with SPET as input. SPETNet allows fast reconstruction of images. We trained SPETNet with simulated event streams and verified the effectiveness of SPETNet with real event streams. The validation results show that SPETNet is able to reconstruct grayscale images quickly. In terms of reconstruction quality, SPETNet achieves results comparable to state-of-the-art methods, and in terms of reconstruction speed, the average image reconstruction time for SPETNet is about half that of state-of-the-art method E2VID, SPETNet is significantly faster.
Moving beyond the lab: investigating empathy through the Empirical 5E approach

Empathy is a complex and multifaceted phenomenon that plays a crucial role in human social interactions. Recent developments in social neuroscience have provided valuable insights into the neural underpinnings and bodily mechanisms underlying empathy. This methodology often prioritizes precision, replicability, internal validity, and confound control. However, fully understanding the complexity of empathy seems unattainable by solely relying on artificial and controlled laboratory settings, while overlooking a comprehensive view of empathy through an ecological experimental approach. In this article, we propose articulating an integrative theoretical and methodological framework based on the 5E approach (the “E”s stand for embodied, embedded, enacted, emotional, and extended perspectives of empathy), highlighting the relevance of studying empathy as an active interaction between embodied agents, embedded in a shared real-world environment. In addition, we illustrate how a novel multimodal approach including mobile brain and body imaging (MoBi) combined with phenomenological methods, and the implementation of interactive paradigms in a natural context, are adequate procedures to study empathy from the 5E approach. In doing so, we present the Empirical 5E approach (E5E) as an integrative scientific framework to bridge brain/body and phenomenological attributes in an interbody interactive setting. Progressing toward an E5E approach can be crucial to understanding empathy in accordance with the complexity of how it is experienced in the real world.
LEARNING GRADIENTS FROM NONIDENTICAL DATA

Selecting important variables and estimating coordinate covariation have received considerable attention in the current big data deluge. Previous work shows that the gradient of the regression function, the objective function in regression and classification problems, can provide both types of information. In this paper, an algorithm to learn this gradient function is proposed for nonidentical data. Under some mild assumptions on data distribution and the model parameters, a result on its learning rate is established which provides a theoretical guarantee for using this method in dynamical gene selection and in network security for recognition of malicious online attacks.
Escala de Actitudes hacia el Trabajo en Equipo: diseño y validez de contenido

Se diseñó y analizó la validez de contenido de la escala Actitudes hacia el Trabajo en Equipo (AHTE). Los ítems se redactaron desde una aproximación de competencia universitaria y se distribuyen en 4 dimensiones: Identidad, Comunicación, Regulación y Ejecución. Se evaluó pertinencia teórica, pertinencia instrumental, representatividad, dominio, valencia, singularidad y claridad a 104 ítems mediante juicio de expertos (n=23). Se emplearon los Índices de validez de contenido: CVR, CVI, CVC y V de Aiken. Los resultados muestran valores cercanos a 0.80 en CVI y valores mayores de 0.9 en Media de CVC y Media de V de Aiken, siendo la claridad la propiedad a mejorar en 28 ítems. En conclusión, la escala AHTE tiene evidencia de validez de contenido.
Healing Treatments in COVID-19 Patients: A Narrative Review

Since December 2019, many drugs have been evaluated or advocated as potential treatments of SARS-CoV-2 induced disease (COVID-19), including many repositioned drugs and some others specifically developed for these diseases. They can be roughly classified into three categories according to their main mechanism of action (passive immunization, direct antivirals, and anti-inflammatory treatments), and their use depends on the stage of the disease. Despite often promising preclinical data, most of the treatments evaluated failed to show a significant clinical benefit. In addition, a few others have seen their effectiveness affected by the occurrence of SARS-CoV-2 variants and sub-variants. Herein, the aim of this article is to take stock of the data available as of the 14th of July 2022, concerning the specific healing options evaluated for patients suffering from COVID-19. We focus particularly on healing treatments of COVID-19 and do not deal with preventive treatments such as vaccine. Associated therapies such as venous thromboembolism prophylaxis are not detailed since they are covered in a specific chapter of this issue. Passive immunization, especially through monoclonal antibodies, showed a positive impact on the clinical evolution, whether in outpatients or inpatients without oxygen supply. However, their effectiveness strongly depends on the type of SARS-CoV-2 variant, and often decreases or even vanishes with the most recent variants. Among direct antiviral treatments, ritonavir-boosted nirmatrelvir appears to currently be the cornerstone in the management of early infections, but its use may be limited by drug interactions. Remdesivir remains as an alternative in this situation, even though it is potentially less convenient. Anti-inflammatory treatments have often been shown to be the most effective in inpatients with oxygen supply. Dexamethasone is now a cornerstone of management of these patients. Added tocilizumab seems beneficial in the case of hyper inflammation. JAK inhibitors and anakinra have also gained an interest in some studies. As a conclusion of this narrative review, the best treatment strategy has yet to be defined and is likely to evolve in the future, not only because many other drugs are still under development and evaluation, but also because of the viral epidemics and epidemiology evolution.
Dual-polarization quantum-enhanced stimulated Raman scattering microscopy

In this paper, we propose an approach for implementing quantum-enhanced stimulated Raman scattering (QESRS) microscopy using a dual-polarization scheme. This approach has advantages for high-power operation and enables ultrasensitive Raman detection of molecular vibrational mode symmetry. To demonstrate the feasibility and effectiveness of our technique, we present both the theoretical framework and experimental results of dual-polarization QESRS. Our technique resulted in a noticeable reduction of noise on both parallel and orthogonal QESRS spectra as well as on the depolarization ratio spectra. These results validate the potential of our approach for achieving high-speed QESRS imaging with sub-shot-noise sensitivity.
Factors Within Multiple Socio-Ecological Model Levels of Influence Affecting Older SNAP Participants' Ability to Grocery Shop and Prepare Food

The study identified and determined if factors within multiple levels of the socio-ecological model were effective in explaining older adult Supplemental Nutrition Assistance Program (SNAP) participants' ability to grocery shop and prepare food. Data were collected from 370 SNAP participants, 65 years and above, via a telephone survey. Factors within multiple levels of influence were significant in explaining both ability to grocery shop and prepare food, including physical and emotional wellbeing; self-reliance; finances; housing; family and friend interactions; social support; and food access. To effectively influence older SNAP participants, integrated SNAP education programs addressing multiple levels of influence are recommended.
Improved LiDAR–Camera Calibration Based on Hand–Eye Model Under Motion Limitation

The extrinsic transformation between LiDAR and camera is 6-DoF, but the motion of robot is mainly 3-DoF. The classical hand–eye calibration method used in unmanned aerial vehicles or handheld devices requires the sensors to translate and rotate in each direction, which is obviously not applicable in wheeled robots. The problem is to calculate the 6-DoF extrinsic parameters under motion limitation mentioned above. This article describes a novel hand–eye calibration method, which designs specific robot motions and makes full use of the motion characteristics, to break the motion limitation. The trajectories of linear motion and steady-state rotation are used to solve the rotation and translation, respectively. In addition, we improve the traditional artificial marker localization method by introducing a flat ground assumption. The proposed method is tested with simulation, static, and dynamic experiments and compared with classical methods. The results demonstrate that the accuracy and efficiency of the method are more advanced than that of classical methods.
A Universal Approximation Theorem for Gaussian-Gated Mixture of Experts Models

Mixture of experts (MoE) models are a powerful probabilistic neural network framework that can be used for classification, clustering, and regression. The most common types of MoE models are those with soft-max gating and experts with linear means. Such models are referred to as soft-max gated mixture of linear experts (MoLE) models. Due to their popularity, the majority of theoretical results regarding MoE and MoLE models have concentrated on those with soft-max gating. For example, it has been proved that soft-max gated MoLE mean functions are dense in the class of continuous functions, over any compact subset of Euclidean space. A popular alternative to soft-max gating is Gaussian gating. We prove that the denseness result regarding soft-max gated MoLE mean functions extends to Gaussian-gated MoLE mean functions. That is, we prove that Gaussian-gated MoLE mean functions are dense in the class of continuous functions, over any compact subset of Euclidean space.
Bedeutungsarmer Diskurs religiöser Vielfalt in Österreich

Der Beitrag schlägt vor, die historische Dimension religiöser Vielfalt stärker in den Blick pädago­gischer Debatten zu nehmen. Dazu setzt er sich konkret mit der folgenden Frage auseinander: Wie werden die Erinnerungen an die religiöse Vielfalt der Zwischenkriegszeit in den 2020er Jah­ren diskursiv gerahmt? Auf der Basis von Zeitzeug*innen-Interviews aus dem ZwieKrie-Projekt wird deutlich, dass sich Zeitzeug*innen nachdrücklich an Situationen religiöser Vielfalt in der Zwischenkriegszeit erinnern, dass diese Erinnerungen aber kaum diskursiv gerahmt sind. Die Zeitzeug*innen können zur Auseinandersetzung mit religiöser Vielfalt kaum auf einen diskur­siven Rahmen zurückgreifen. Man kann von einem „bedeutungsarmen Diskurs“ religiöser Vielfalt sprechen.
Análisis psicométricos de la escala de impulsividad UPPS-P para niños y adolescentes mediante el modelo politómico de Rasch

La escala UPPS-P se utiliza ampliamente para valorar la impulsividad. Por este motivo, se analizaron las propiedades psicométricas de la versión extensa de la UPPS-P desde el modelo politómico de Rasch. Participaron del estudio 800 adolescentes argentinos con edades entre los 12 y los 18 años. Como resultado se encontró que las dimensiones de la UPPS-P presentaron un adecuado ajuste al modelo de Rasch, adecuados niveles en el índice de separación de las personas (PSI), algunos ítems con dependencia local y un adecuado nivel de unidimensionalidad. Se concluye que la escala es un instrumento válido para evaluar impulsividad en adolescentes por lo que se presenta una tabla de conversión con puntuaciones intervalares para aumentar la precisión de medida del instrumento.
Output feedback hierarchical control for nonlinear systems

In this paper, we address the problem of hierarchical control for nonlinear systems and design two dynamic output feedback hierarchical control laws in a semiglobal sense and in a global sense, respectively. With the controllers applied to a class of nonlinear systems, some transient and steady properties of the system output trajectories can be satisfied simultaneously. Furthermore, the corresponding result in the global sense for linear systems is naturally derived. Finally, the effectiveness of our approach is illustrated by a single‐link robot arm system. Copyright © 2017 John Wiley & Sons, Ltd.
Could the Theory of Planned Behaviour Explain Market Discipline in Sharia Mutual Funds?

A significant number of studies have explored market discipline as indicated by investors or customers being sensitive toward the excessive risks taken by banks. Yet no scholars have sought to review this topic from the behavioural finance perspective. This study defines market discipline as withdrawal behaviour, captured here using the theory of planned behaviour (TPB) as one of the behavioural finance theories. This study aims to determine the psychological and social factors influencing market discipline from a behavioural perspective, by employing the TPB. This study’s sample comprised of 93 academicians who invested in Sharia mutual funds in Greater Jakarta, Indonesia. The results show that the intention to withdraw and perceived behavioural control (PBC) are able to predict the market discipline, while the intention to withdraw from Sharia mutual funds is determined by the subjective norms and PBC. Attitudes towards withdrawal are shown to be insignificant in explaining the intention to withdraw from Sharia mutual funds. 5
A Robust Frequency Stabilized of Er:Fiber Frequency Comb with Relative Frequency Instability of E-18

Highly stable and long-term frequency-controlled femtosecond optical frequency comb is demonstrated in this paper. We stabilized carrier envelope offset frequency onto a RF reference and obtained the in-loop frequency instability is about $4.3\times 10^{-18}{@} 1\mathrm{s}$. We stabilized repetition rate onto an ultrastable laser. The relative frequency instability is $5.3\times 10^{-18}{@}1\mathrm{s}$.
AhRR and PPP1R3C: Potential Prognostic Biomarkers for Serous Ovarian Cancer

The lack of effective screening and successful treatment contributes to high ovarian cancer mortality, making it the second most common cause of gynecologic cancer death. Development of chemoresistance in up to 75% of patients is the cause of a poor treatment response and reduced survival. Therefore, identifying potential and effective biomarkers for its diagnosis and prognosis is a strong critical need. Copy number alterations are frequent in cancer, and relevant for molecular tumor stratification and patients’ prognoses. In this study, array-CGH analysis was performed in three cell lines and derived cancer stem cells (CSCs) to identify genes potentially predictive for ovarian cancer patients’ prognoses. Bioinformatic analyses of genes involved in copy number gains revealed that AhRR and PPP1R3C expression negatively correlated with ovarian cancer patients’ overall and progression-free survival. These results, together with a significant association between AhRR and PPP1R3C expression and ovarian cancer stemness markers, suggested their potential role in CSCs. Furthermore, AhRR and PPP1R3C’s increased expression was maintained in some CSC subpopulations, reinforcing their potential role in ovarian cancer. In conclusion, we reported for the first time, to the best of our knowledge, a prognostic role of AhRR and PPP1R3C expression in serous ovarian cancer.
The variational principles of mechanics (4th edition), by Cornelius Lanczos. Pp xxix, 418. £4·50. 1970 (University of Toronto Press)

The subject is difficult and the book, consequently, of post-graduate standard. 4. Combinatorial methods, by J. K. Percus. Pp. ix, 194. The book is concerned with enumerative combinatorics, i.e. with generating and/or counting sets of objects with specified properties. Various counting techniques are discussed, culminating with Polya's theorem which is used to count chemical isomers. Much of the book deals with arrangements of figures on lattices, including the dimer and Ising problems. The author describes the work as "an attempt to reach an informed but heterogeneous group of students in mathematics, physics, and chemistry". It is a good attempt which deserves to be successful. (Comments by E. K. Lloyd.) 5. Fluid dynamics, by R. von Mises and K. O. Friedrichs. Pp ix, 353. This is a straightforward text on laminar fluid dynamics, suitable for a first-reading course, and comparable with many other such texts.
Synthesis and Anti-Proliferative Activity of 5-Benzoyl and 5-Benzylhydroxy Derivatives of 3-Amino-2-Arylcarboxamido-Thieno[2-3-b]Pyridines

3-Amino-2-arylcarboxamido-thieno[2-3-b]pyridines have been previously described as having potent anti-proliferative activity against MDA-MB-231 and HCT116 cancer cell lines. The mechanism by which these molecules prevent cancer cell growth is proposed to be through interfering with phospholipid metabolism via inhibition of PI-PLC, along with other cellular processes. Previously, 5-cinnamyl derivatives of these thieno[2-3-b]pyridines have been shown to have enhanced anti-proliferative activity compared to compounds lacking this moiety, indicating a tethered aromatic ring is important for this western region of the pharmacophore. Herein, we report the synthesis and biological evaluation of a library of 40 novel thieno[2-3-b]pyridine analogues containing shorter benzoyl or secondary benzyl alcohol tethers at the 5-position, in addition to various substituents on the two phenyl rings present on the molecule. Compounds bearing alcohol functionality had improved efficacy compared to their benzoyl counterparts, in addition to a 2-methyl-3-halogen substitution on the 2-arylcarboxamide ring being important for maximising anti-proliferative activity. The most potent molecules 7h and 7i demonstrated IC50 concentrations of 25–50 nM against HCT116 and MDA-MB-231 cells, a similar level of activity as previous thienopyridine compounds bearing cinnamyl moieties, suggesting that these novel derivatives with shorter tethers were able to maintain potent anti-proliferative activity, while allowing for a more concise synthesis.
Impact of Heuristics on Investors' Investment Personality

In the present speculative market conditions, most of the investors struggle to make a correct decision. The investment decisions of investors are influenced by many factors. One such factor is heuristics, which affects their successful investment decisions. Heuristic biases make the investors to be emotionally unstable, less cognitive and intuitive decision maker. This study has taken heuristic bias factors to find out whether the heuristics of investors determine their investment personality or not. For this purpose, multistage random sampling technique is adopted to gather the data from retail investors who are accessing the equity market from the Tamil Nadu region. The congregated data are analyzed quantitatively by using the statistical tools of factor analysis, discriminant analysis and structural equation model. The findings of this study suggest that heuristics play a key role in determining the investment personality of investors.
Mycotoxin Content of Fungi-Contaminated Sorghum Sold in Selected Markets in Ibadan, Nigeria

Aim: This study sought to evaluate the mycoflora associated with sorghum retailed in some selected markets in Ibadan metropolis and assessing the risks associated with their consumption. Methodology: Sorghum samples were obtained from Sango, Oja Oba, Ojoo, Bodija and Orita markets in Ibadan, Nigeria. Associated fungi were isolated by direct plating of the sample on Potato Dextrose Agar while they were identified by morphological and microscopic methods. Proximate and aflatoxin content of the samples were determined using standard methods. Results: The presence of Aspergillus flavus, A. niger, Mucor sp, Penicillium sp, Trichothecium sp, Curvularia sp. , Fusarium monoliforme, Alternaria alternata, and P. roqueforti were observed in the samples. Among these, A. flavus and A. niger were the most predominant with occurrence of 34.92% and 23.81% respectively. The aflatoxin analysis showed a concentration ranging from 46 – 102ppb and was highest in samples collected from Ojoo market. Aflatoxin contamination was not detected in sixty percent of the samples collected while samples from Oja Oba and Bodija markets had the most samples contaminated by aflatoxins. Conclusion: The presence of fungi and aflatoxin was confirmed in some of the samples collected from major markets in Ibadan. This suggests the need for continuous surveillance and the recommendation of measures that will prevent fungal infestation.