Miracle-dz/UniFAR-FTUs huggingface dataset:
DETERMINATION OF THE EFFECT OF RUTIN ON EPITHELIAL TO MESENCHYMAL TRANSITION IN PROSTATE CANCER CELLS

Objective: The difficulties experienced in the treatment of prostate cancer and the excess of side effects due to chemotherapy have brought the search for alternative treatment strategies. In recent studies, it is known that Rutin (RUT) has an anti-cancer effect on cancer cells. Our study aimed to determine the effects of RUT on epithelial to mesenchymal transition (EMT) in prostate cancer cells, for the first time. Methods: The anticancer effect of RUT in prostate cancer cells (PC-3) was examined by WST-1, Annexin V ELISA, DAPI and Acridine Orange staining, and the anti-cancer and anti-metastatic properties of RUT were evaluated with the Scratch Assay test. The expression level of Bax, Bcl-2, Snail, Twist, Vimentin and E-cadherin genes was evaluated by RT-PCR. Results: The cells were treated with RUT (500, 750, 1000 and 1500 µM) for 24 and 48 hours. The viability rates decreased with increasing RUT concentration depending on dose and time (p<0.01). Free Annexin V protein decreased, and apoptotic cells increased depending on the increasing RUT concentration (p<0.01). There was a reduction in the migrating cells, especially at 750 and 1000 µM RUT concentrations. There was a significant increase (14.22-fold) in E-cadherin mRNA level after 1500 µM RUT treatment (p<0.01). Additionally, the mRNA level of Snail, Twist and Vimentin decreased at higher RUT concentrations (p<0.01). Conclusion: The existence of RUT's potential to inhibit epithelial to mesenchymal transition and promote apoptosis has been demonstrated. It is also recommended to explore the effects of RUT on EMT in vivo.
Aalborg Universitet Exercising the Tibialis Anterior Muscle of Children with Cerebral Palsy for Improved Neuroplasticity using an Electrical Guitar

This paper is a suggestion on how to improve or extend a known method of exercising the tibialis anterior muscle for improved mobility for children with cerebral palsy through neuroplasticity. We suggest that by using slightly altered existing devices, in this case the Actuated Guitar, it is possible to motivate children to do functional activities as regular exercises and that it will provide better results when compared to traditional exercises.
Optimization of drones communication by using meta-heuristic optimization algorithms

Unmanned aerial vehicles (UAVs), more generally known as drones or remotely piloted aircraft, h ave b een e xtensively u sed i n b oth c ivilian a ctivities a nd m ilitary m issions b ecause of their high mobility and low cost. Multi-UAV systems structured in an ad hoc manner called UAVs ad hoc network which is also familiar as flying ad hoc Network (FANET). For FANETs, the IEEE 802.11 standard offers Medium Access Control (MAC) layer requirements. Optimization of the contention window (CW) size will optimize the output. Three distinct meta-heuristic optimization algorithms are used in this paper to improve the efficiency of FANETs, which are the Cuckoo Search Algorithm (CUCO), the Differential Evolution Algorithm (DEA)\ and the Honey Bee Algorithm (HBA). Optimum CW size is defined through meta-heuristic optimization algorithms. Performance comparison among CUCO, DEA, HBA, and traditional MAC based on IEEE 802.11 is presented. Relationships among parameters are obtained through Markov chain based analytical study. Performance metrics such as successful transmission probability, collision probability, channel busy probability, throughput, packet dropping rate (PDR), and delay expressions are derived. Simulation results reveal that meta-heuristic optimization algorithms improve the quality and reliability of communication by increasing throughput and decreasing PDR and latency. Cite this article as: Shahen A F M S, Mehmet A K. Optimization of drones communication by using meta-heuristic optimization algorithms. Sigma J Eng Nat Sci 2022;40(1) : 1 0 8 – 11 7 .
Rapid variations of dust colour in comet 41P/Tuttle–Giacobini–Kresák

We monitor the inner coma of comet 41P/Tuttle-Giacobini-Kresak searching for variations of its colour. Fast changes in colour of the comet 41P/Tuttle-Giacobini-Kresak provide important clues for better understanding of the microphysical properties of its dust. Using the 61-cm and 70-cm telescopes we measured the apparent magnitude of the comet with the V and R Johnson-Cousins filters from January 29 until April 25 of 2017. The inner coma ({\sim} 2000 km) reveals fast and significant variations of colour. The most significant change was found between March 3 and 4 of 2017, when it changed from blue with a colour slope S {\approx}(-10.15 {\pm} 3.43){\%} per 0.1 {\mu}m to red with S {\approx} (16.48 {\pm} 4.27){\%} per 0.1 {\mu}m. This finding appears in good accordance with what was previously reported by Ivanova et al. (2017) for long-period comet C/2013 UQ4 (Catalina), suggesting that fast and significant variations of colour of dust could be a common feature of short- and long-period comets. We model observations of comet 41P/Tuttle-Giacobini-Kresak using the agglomerated debris particles and conclude that its inner coma consists of a mixture of at least two types of particles made of Mg-rich silicates and organics or Mg-Fe silicates.
CHANGES IN EQUILIBRIUM MODULUS AND CX,,-CASEIN BREAKDOWN DURING THE RIPENING OF PORT SALUT ARGENTINO CHEESE AS AFFECTED BY FROZEN STORAGE

i%e Hect of the freezing, frazen storage and thawing on textural parameters and a,,-casein breakdown during the ripening of Port Salut Argentino cheese was studied. Moisture content, salt concentration, casein profiles and asymptotic equilibrium modulus were monitored in control cheeses ripened at 5C and in cheeses, stored at -22C for 30 days, thawed and ripened at 5C, for different ripening times (I, 6. 13, 27and 56 days) and two sampling zones (central and external). Thefreezing process signiJicantly increased the rae of a,,-casein and as,-I-casein hydrolysis. This process may affect the susceptibility of a,,-casein to chymosin attack and also the availability of hydrolytic enzymes released by damaged microorganisms, which may contribute to the faster hydrolysis of a,,-I-casein. The freezing process did not significantly affect the decay rates of asymptotic equilibrium modulus. First order kinetics constants for decay of the asymptotic equilibrium modulus were 3.71 1Q2day-’ (control cheeses, central zone), 8.48 10’ day-’ (control cheeses, external zone), 4.52 10’ day-’ frozen cheeses, central zone)
Land use analysis of the N’ZI watershed of Cˆote d’Ivoire using multi-date and multi-source satellite data

The uncontrolled rapid population growth in our regions and strong industrialization are putting pressure on natural resources, accelerating climate change and desertiﬁcation. This study aims to follow the evolution of land use in the N’ZI watershed. Three images from Landsat 4 & 5 (1986), Landsat 7 (2000), and Landsat 8 (2020) were used to carry out this study. Remote sensing and geographic information systems (GIS) were used to monitor land cover as a whole. Various treatments were performed using Envi 5.1 and ArcGIS 10.4. 1 software programs. The results showed that changes took place during the periods of 1986-2000, 2000-2020, and 1986-2020. The results of the analysis showed the regression of water surfaces from -64.95
Freshwater Mussels of Alabama and the Mobile Basin in Georgia, Mississippi, and Tennessee

This is a comprehensive accounting of the richest mussel fauna in the U.S.Alabama rivers and waterways are home to the largest and most diverse population of freshwater mussel species in the nation, roughly 60 per cent of U.S. mussel fauna. The Mobile River Basin, which drains portions of Tennessee, Georgia, and Mississippi waterways, also contains diverse mussel populations. However, many of these species have been significantly depleted in the last century due to habitat alteration (river damming, channelization, siltation), pollution, and invasive species, and many more are in imminent danger of extinction.The authors offer encyclopedic entries on each of the 178 mussel species currently identified in Alabama and the Mobile River Basin - the scientific and common names; a morphological description as well as color photographs of the shell appearance; analysis of the soft anatomy; information about ecology, biology, and conservation status; and, a color distribution map. With an extensive glossary of terms and full index, plus additional material on the archaeological record, a history of commercial uses of mussels, and the work of significant biologists studying these species, this volume is a long overdue and invaluable resource, not only for scholars of aquatic biology and zoology but also conservationists interested in the preservation of ecological diversity and protection of inland environments.
Recipe for Disaster: How the Dynamic Ingredients of Risk and Exposure Are Changing the Tornado Disaster Landscape

AbstractTornado disasters and their potential are a product of both hazard risk and underlying physical and social vulnerabilities. This investigation appraises exposure, which is an important component and driver of vulnerability, and its interrelationship with tornado risk in the United States since the mid-twentieth century. The research demonstrates how each of these dynamic variables have evolved individually and interacted collectively to produce differences in hazard impact and disaster potential at the national, regional, and local scales. Results reveal that escalating tornado impacts are driven fundamentally by growing built-environment exposure. The increasing tornado disaster probability is not uniform across the landscape, with the mid-South region containing the greatest threat based on the juxtaposition of an immense tornado footprint risk and elevated exposure/development rates, which manifests—at least for one important impact marker—in the area’s high mortality rate. Contemporary, high-i.
New Acos Content Types

This paper demonstrates three new content packages recently published for Acos, the server for sharing smart learning content. The packages are aimed at 1) code annotation, 2) automatically assessed tracing exercises, and 3) scripted stepwise animations for stepping through explanations of various content. The content can be disseminated to different learning management systems by utilising several learning protocols, such as LTI.
Exploring protein–ligand binding affinity prediction with electron density-based geometric deep learning

Rational structure-based drug design relies on accurate predictions of protein–ligand binding affinity from structural molecular information. Although deep learning-based methods for predicting binding affinity have shown promise in computational drug design, certain approaches have faced criticism for their potential to inadequately capture the fundamental physical interactions between ligands and their macromolecular targets or for being susceptible to dataset biases. Herein, we propose to include bond-critical points based on the electron density of a protein–ligand complex as a fundamental physical representation of protein–ligand interactions. Employing a geometric deep learning model, we explore the usefulness of these bond-critical points to predict absolute binding affinities of protein–ligand complexes, benchmark model performance against existing methods, and provide a critical analysis of this new approach. The models achieved root-mean-squared errors of 1.4–1.8 log units on the PDBbind dataset, and 1.0–1.7 log units on the PDE10A dataset, not indicating significant advantages over benchmark methods, and thus rendering the utility of electron density for deep learning models context-dependent. The relationship between intermolecular electron density and corresponding binding affinity was analyzed, and Pearson correlation coefficients r > 0.7 were obtained for several macromolecular targets.
Glycemic Control after Treatment Intensification in Patients with Type 2 Diabetes Uncontrolled on Two or More Non-Insulin Antidiabetic Drugs in a Real-World Setting

Aims: To assess glycaemic control after treatment intensification in patients with type 2 diabetes uncontrolled on ≥2 non-insulin antidiabetic drugs (NIADS). Methods: Retrospective cohort study, using electronic health records from the SIDIAP database (2010-2014). Intensification was defined as the prescription of any new antidiabetic drug in patients treated with ≥2 NIADS and HbA1c >7%. The primary outcome was the absolute change in HbA1c 6 to 12 months after any intensification. Secondary analyses included the percentage of patients reaching HbA1c <7%, HbA1c <8%, and a reduction of HbA1c >1% after the first intensification. Results: There were 21,241 intensifications in 15,205 patients with a mean (SD) HbA1c of 9.02% (±1.35). Insulin and DPP4-inhibitors were the most frequently added therapies. The mean baseline-adjusted HbA1c reduction was 0.78% (95% CI, -0.80 to -0.76), varying from - 0.69% with DPP4-inhibitors to -0.85% with GLP1 receptor agonists while the addition of insulin was associated with a reduction >1%.
The Effect of Glass Colour on the Evaluation of a Beverage’s Thirst-Quenching Quality

S Studies have shown that colour can influence the evaluation of food and beverages. The purpose of this study was to test the influence of colour on the perceived thirst-quenching quality of beverages. Forty undergraduate students (20 males and 20 females) have tested the same beverage presented in glasses of different colours (Blue, Green, Yellow, Red). The subjects were instructed to test each of the glasses according to a random order. Afterwards, they had to indicate the most thirst-quenching glass. Results show a significant difference between the four colours where the blue glass was evaluated as the most thirst-quenching beverage. Des recherches ont montré que la couleur peut influencer la façon dont on évalue les aliments et les boissons. L’objectif de cette recherche est d’étudier l’influence de la couleur sur la perception de la valeur désaltérante de breuvages. Quarante étudiants (20 de chaque sexe) avaient à goûter la même boisson dans des verres de différentes couleurs (bleu, vert, jaune, rouge) selon un ordre au hasard. Ils avaient ensuite à désigner le verre qu’ils trouvaient le plus désaltérant. Les résultats font apparaître des différences significatives entre les quatre couleurs, le verre bleu étant jugé comme contenant la boisson la plus désaltérante.
‘‘Obesity associated with depression, environmental factors, and stress related eatings’’

Objective: Recently in Pakistan obesity is a health problem. The relationship between depression, stress, social factors, emotional eating, and obesity is investigated in this study. Much research has been done on obesity and its associated factors like depression, stress level also the concerning problems caused by the obesity. The aim of this survey was to investigate that how depression, social factors, and stress-related eating are associated to obesity and overweight. Methods: A cross-sectional survey was conducted and distributed among different cities of Pakistan. Data was collected through questionnaire conducted online through Google Forms and distributed in different WhatsApp groups. Our research was conducted on both gender (male and female) and age of the participants ranged from 15 years and above within the region of Pakistan. SPSS.21 used for statistical purposes and the graphical data obtained. Results
Photorealistic Visualizations May Be Too Good

In past issues of the Newsletter, George Tressel and I have written about virtual reality and renderings. We have each discussed particular problems with the technology, and both of us mentioned how compelling computer visualizations can be. In my article (" ," February, 1995, Vol. 7, no. 4), I indicated my concerns about the quality of the scholarship and the level of detail used in making renderings or virtual worlds. Mr. Tressel (in " ," November, 1996, Vol. IX, no. 3) wrote about the need to distinguish between real and hypothetical parts of a visualization, the need to differentiate materials, and the difficulties involved in creating the visualizations (some of which were included in the in black-andwhite and on the Web in color). Virtual Reality and Rendering
Co-Optimization of Damage Assessment and Restoration: A Resilience-Driven Dynamic Crew Allocation for Power Distribution Systems

This study introduces a mixed-integer linear programming (MILP) model, effectively co-optimizing patrolling, damage assessment, fault isolation, repair, and load re-energization processes. The model is designed to solve a vital operational conundrum: deciding between further network exploration to obtain more comprehensive data or addressing the repair of already identified faults. As information on the fault location and repair timelines becomes available, the model allows for dynamic adaptation of crew dispatch decisions. In addition, this study proposes a conservative power flow constraint set that considers two network loading scenarios within the final network configuration. This approach results in the determination of an upper and a lower bound for node voltage levels and an upper bound for power line flows. To underscore the practicality and scalability of the proposed model, we have demonstrated its application using IEEE 123-node and 8500-node test systems, where it delivered promising results.
Physics of the Majorana superconducting qubit hybrids

Manipulation of decoupled Majorana zero modes (MZMs) could enable topologically-protected quantum computing. However, the practical realization of a large number of perfectly decoupled MZMs needed to perform nontrivial quantum computation has proven to be challenging so far. Fortunately, even a small number of imperfect MZMs can be used to qualitatively extend the behavior of standard superconducting qubits, allowing for new approaches for noise suppression, qubit manipulation and read-out. Such hybrid devices take advantage of interplay of Cooper pair tunneling, coherent single electron tunneling, and Majorana hybridization. Here we provide a qualitative understanding of this system, give analytical results for its ground state energy spanning full parameter range, and describe potential sensing applications enabled by the interplay between Majorana and Cooper pair tunneling.
Implementation of a level-set-based volume penalization method for solving fluid flows around bluff bodies

A volume penalization-based immersed boundary technique is developed and thoroughly validated for fluid flow problems, specifically flow over bluff bodies. The proposed algorithm has been implemented in an open source field operation and manipulation (OpenFOAM), a computational fluid dynamics solver. The immersed boundary method offers the advantage of inserting a complex solid object inside a Cartesian grid system, and therefore, the governing equations can be applied to such a simpler grid arrangement. For capturing the fluid–solid interface more accurately, the grid is refined near the solid surface using topoSetDict and refineMeshDict utilities in OpenFOAM. In order to avoid any numerical oscillation and to compute the gradients accurately near the interface, the present volume penalization method (VPM) is integrated with a signed distance function, which is also referred to as a level-set function. Benchmark problems, such as flows around a cylinder and a sphere, are considered and thoroughly validated with the results available in the literature. For the flow over a stationary cylinder, the Reynolds number is varied so that it covers from a steady two-dimensional flow to an unsteady three-dimensional flow. The capability of the present solver has been further verified by considering the flow past a vibrating cylinder in the cross-stream direction. In addition, a flow over a sphere, which is inherently three-dimensional due to its geometrical shape, is validated in both steady and unsteady regimes. The results obtained by the present VPM show good agreement with those obtained by a body-fitted grid using the same numerical scheme as that of the VPM, and also with those reported in the literature. The present results indicate that the VPM-based immersed boundary technique can be widely applicable to scientific and engineering problems involving flow past stationary and moving bluff bodies of arbitrary geometry.
Title: Invisible side of emotions: somato-motor responses to affective facial displays in alexithymia

According to recent theories, the detection of emotions involves somatic experiences. In this study, we investigated the relation between somatic responses to affective stimuli, emotion perception, and alexithymia. Variations in automatic rapid facial reactions (RFRs) were measured in a selected population of participants with high and low levels of alexithymia (HA and LA, respectively). Electromyographic activity was recorded from the corrugator supercilii and the zygomaticus major , while participants performed a gender classification task on faces expressing various emotional states. LA participants showed congruent RFRs in response to both fearful and happy stimuli. On the other hand, HA participants did not show congruent RFRs in response to fearful faces. They showed congruent, but delayed, RFRs in response to happy faces. These results provide evidence of a deficit in somato-motor emotional processing in people with high alexithymic personality traits, and thus support the hypothesis that alexithymia is associated with a deficit in emotional embodiment.
SafeShift: Safety-Informed Distribution Shifts for Robust Trajectory Prediction in Autonomous Driving

As autonomous driving technology matures, safety and robustness of its key components, including trajectory prediction, is vital. Though real-world datasets, such as Waymo Open Motion, provide realistic recorded scenarios for model development, they often lack truly safety-critical situations. Rather than utilizing unrealistic simulation or dangerous real-world testing, we instead propose a framework to characterize such datasets and find hidden safety-relevant scenarios within. Our approach expands the spectrum of safety-relevance, allowing us to study trajectory prediction models under a safety-informed, distribution shift setting. We contribute a generalized scenario characterization method, a novel scoring scheme to find subtly-avoided risky scenarios, and an evaluation of trajectory prediction models in this setting. We further contribute a remediation strategy, achieving a 10% average reduction in prediction collision rates. To facilitate future research, we release our code to the public: github.com/cmubig/SafeShift
Graph-based Decentralized Task Allocation for Multi-Robot Target Localization

We introduce a new approach to address the task allocation problem in a system of heterogeneous robots comprising of Unmanned Ground Vehicles (UGVs) and Unmanned Aerial Vehicles (UAVs). The proposed model, \texttt{\method}, or \textbf{G}raph \textbf{A}ttention \textbf{T}ask \textbf{A}llocato\textbf{R} aggregates information from neighbors in the multi-robot system, with the aim of achieving joint optimality in the target localization efficiency.Being decentralized, our method is highly robust and adaptable to situations where collaborators may change over time, ensuring the continuity of the mission. We also proposed heterogeneity-aware preprocessing to let all the different types of robots collaborate with a uniform model.The experimental results demonstrate the effectiveness and scalability of the proposed approach in a range of simulated scenarios. The model can allocate targets' positions close to the expert algorithm's result, with a median spatial gap less than a unit length. This approach can be used in multi-robot systems deployed in search and rescue missions, environmental monitoring, and disaster response.