Miracle-dz/UniFAR-FTUs huggingface dataset:
Six Honest Serving Matters, Teaching Us All We Need to Know About Context in Knowledge Implementation?

While context is a vital factor in any attempt to study knowledge translation or implement evidence in healthcare, there is a need to better understand the attributes and relations that constitute context. A recent study by J. Squires et al investigates such attributes and definitions, based on 39 stakeholder interviews across Australia, Canada, the United Kingdom, and the United States. Sixteen attributes, comprising 30 elements suggested as new findings, are proposed as the basis for a framework. This commentary argues for the need to incorporate more perspectives but also suggests an initial taxonomy rather than a framework, comprising a wider range of stakeholders and an enhanced understanding of how context elements are related at different levels and how this affects implementation processes. Aligning with person-centred care, this must include not only professionals but also patients and their next of kin, as partners in shaping more evidence-based healthcare.
The Nma1 protein promotes long distance transport mediated by early endosomes in Ustilago maydis

Early endosomes (EEs) are part of the endocytic transport pathway and resemble the earliest class of transport vesicles between the internalization of extracellular material, their cellular distribution or vacuolar degradation. In filamentous fungi, EEs fulfill important functions in long distance transport of cargoes as mRNAs, ribosomes, and peroxisomes. Formation and maturation of early endosomes is controlled by the specific membrane‐bound Rab‐GTPase Rab5 and tethering complexes as CORVET (class C core vacuole/endosome tethering). In the basidiomycete Ustilago maydis, Rab5a is the prominent GTPase to recruit CORVET to EEs; in rab5a deletion strains, this function is maintained by the second EE‐associated GTPase Rab5b. The tethering‐ and core‐subunits of CORVET are essential, buttressing a central role for EE transport in U. maydis. The function of EEs in long distance transport is supported by the Nma1 protein that interacts with the Vps3 subunit of CORVET. The interaction stabilizes the binding of Vps3 to the CORVET core complex that is recruited to Rab5a via Vps8. Deletion of nma1 leads to a significantly reduced number of EEs, and an increased conversion rate of EEs to late endosomes. Thus, Nma1 modulates the lifespan of EEs to ensure their availability for the various long distance transport processes.
Silicon carbide PiN and merged PiN Schottky power diode models implemented in the Saber circuit simulator

Dynamic compact electrothermal models are developed for silicon carbide (SiC) power diodes. Model parameters are extracted and model results are presented for both 1500 V SiC Merged PiN Schottky and 5000 V SiC PiN diodes. The models are verified for on-state characteristics, temperature dependence and reverse recovery characteristics, di/dt, dv/dt, and temperature dependence.
A Novel Clinical Five-Risk Factor Panel for Individualized Recurrence Risk Assessment of Patients With Acute Anterior Uveitis

Purpose Detecting and managing relapses of acute anterior uveitis (AAU) is necessary for improving follow-up planning to minimize recurrences and further complications. However, reliable clinical and laboratory risk factors are lacking, as is a predictive model for use in clinical practice that is capable of identifying patients at high risk for recurrence after remission. Methods We analyzed 38 laboratory parameters and clinical data from a large longitudinal retrospective cohort of 233 patients with AAU. Association of laboratory parameters with recurrence-free survival (RFS) was evaluated using univariate Cox proportional hazards regression. A clinically applicable predictive model was developed using a logistic regression model. Results Of the 38 laboratory parameters studied, we identified 5 parameters (HDL, ankylosing spondylitis, HLA-B27, MO, and LDL) to be associated with RFS. We developed a clinical five-risk factor panel (5RF-panel), which was capable of effectively distinguishing recurrent patients from nonrelapsed patients (area under the curve [AUC] = 0.837), as well as between patients with high and low risks of AAU recurrence (hazard ratio [HR] = 45.874, 95% confidence interval [CI] = 5.232-402.2, P < 0.001). The robust performance of the 5RF-panel was further validated in the testing cohort (AUC = 0.725, and HR = 51.982, 95% CI = 4.438-608.9, P = 0.024). Furthermore, the 5RF-panel demonstrated superior performance in stratifying recurrence risk based on known risk factors. Conclusions We identified and validated a novel clinical 5RF-panel to predict individualized risk of AAU recurrence and improved patient classification for clinical management. Translational Relevance The present study identified and validated a 5RF-panel that is a promising individualized predictive tool to monitor recurrence risk and guide personalized management of patients with AAU.
Biologically inspired damage tolerance in braided pneumatic muscle actuators

As the operation of robotic systems moves away from solely manufacturing environments to arenas where they must operate alongside humans, so the essential characteristics of their design has transformed. A move from traditional robot designs to more inherently safe concepts is required. Studying biological systems to determine how they achieve safe interactions is one approach being used. This then seeks to mimic the ingredients that make this interaction safe in robotics systems. This is often achieved through softness both in terms of a soft fleshy external covering and through motor systems that introduce joint compliance for softer physical Human-Robot Interaction (pHRI). This has led to the development of new actuators with performance characteristics that at least on a macroscopic level try to emulate the function of organic muscle. One of the most promising among these is the pneumatic Muscle Actuator (pMA). However, as with organic muscle, these soft actuators are more susceptible to damage than many traditional actuators. Whilst organic muscle can regenerate and recover, artificial systems do not possess this ability. This article analyzes how organic muscle is able to operate even after extreme trauma and shows how functionally similar techniques can be used with pMAs.
Guaranteed Anti-Sway Operation of an Overhead Crane: A Cascaded Backstepping Approach

7 Abstract- This paper presents a novel real-time robust nonlinear control law exploring a cascaded backstepping control approach to deal with the benchmark control problem of anti-sway operation of an overhead crane with restricted travel. The overall control algorithm has been partitioned into two separate controllers: one for position control of the crane, and the other for the anti-sway operation of the payload in spite of the motion constraints and external disturbances. Here, the cascaded backstepping method has been explored to ensure the guaranteed anti-sway operation of the overhead crane. The effectiveness of the proposed control law has been verified by experimental studies in hard real-time. The experimental results show that the proposed control laws are quite efficacious in achieving the overall control objectives.
A T-shaped microstrip-line-fed wide slot antenna

We propose a simple feed structure for the wide rectangular slot antenna that can achieve a good impedance match over a wide frequency range. The feed structure is composed of a horizontal strip conductor connected at the end of the microstrip feed line. The proposed antenna is analyzed by using the finite difference time domain (FDTD) method. The measured result for the return loss of the antenna is also presented.
Correlated diffusion in lipid bilayers

Significance Dynamic processes on membrane surfaces are essential for biological function. Traditionally, quantitative measurements of lipid/protein motion have been interpreted in the framework of membrane hydrodynamics. However, some recent single-molecule tracking studies have proven difficult to interpret via hydrodynamic arguments. Does this suggest a failure of hydrodynamic theory or simply highlight the dangers in attempting to extend hydrodynamic arguments down to molecular scales? Intermolecular correlations are superior to single-molecule observations for studying hydrodynamics due to the longer length scales involved. The current work reports dynamic pair correlations of lipids in model membranes. Submicron distance-dependent correlations are well resolved, and complementary numerical calculations indicate that hydrodynamic theory can predict membrane dynamics over distances of tens of nanometers and longer. Lipid membranes are complex quasi–two-dimensional fluids, whose importance in biology and unique physical/materials properties have made them a major target for biophysical research. Recent single-molecule tracking experiments in membranes have caused some controversy, calling the venerable Saffman–Delbrück model into question and suggesting that, perhaps, current understanding of membrane hydrodynamics is imperfect. However, single-molecule tracking is not well suited to resolving the details of hydrodynamic flows; observations involving correlations between multiple molecules are superior for this purpose. Here dual-color molecular tracking with submillisecond time resolution and submicron spatial resolution is employed to reveal correlations in the Brownian motion of pairs of fluorescently labeled lipids in membranes. These correlations extend hundreds of nanometers in freely floating bilayers (black lipid membranes) but are severely suppressed in supported lipid bilayers. The measurements are consistent with hydrodynamic predictions based on an extended Saffman–Delbrück theory that explicitly accounts for the two-leaflet bilayer structure of lipid membranes.
Competition and geography underlie speciation and morphological evolution in Indo‐Australasian monitor lizards

How biotic and abiotic factors act together to shape biological diversity is a major question in evolutionary biology. The recent availability of large datasets and development of new methodological approaches provide new tools to evaluate the predicted effects of ecological interactions and geography on lineage diversification and phenotypic evolution. Here, we use a near complete phylogenomic‐scale phylogeny and a comprehensive morphological dataset comprising more than a thousand specimens to assess the role of biotic and abiotic processes in the diversification of monitor lizards (Varanidae). This charismatic group of lizards shows striking variation in species richness among its clades and multiple instances of endemic radiation in Indo‐Australasia (i.e., the Indo‐Australian Archipelago and Australia), one of Earth's most biogeographically complex regions. We found heterogeneity in diversification dynamics across the family. Idiosyncratic biotic and geographic conditions appear to have driven diversification and morphological evolution in three endemic Indo‐Australasian radiations. Furthermore, incumbency effects partially explain patterns in the biotic exchange between Australia and New Guinea. Our results offer insight into the dynamic history of Indo‐Australasia, the evolutionary significance of competition, and the long‐term consequences of incumbency effects.
Visual Tour Based on Panaromic Images for Indoor Places in Campus

In this paper, it is aimed to create a visual tour based on panoramic images for Civil Engineering Faculty in Yildiz Technical University. For this purpose, panoramic images should be obtained. Thus, photos taken with a tripod to have the same angle of view in every photo and panoramic images were created with stitching photos. Two different cameras with different focal length were used. With the panoramic images, visual tour with navigation tools created.
The Mediating Role of Moral Absolutism Between the “Binding Moral Foundations” and Sexist Attitudes: A Path That May Lead to Intimate Partner Violence

The binding foundations (loyalty, authority, and purity) constitute adaptive mechanisms for preserving groups’ interests. However, they have also been related to intergroup prejudice and violence. We show that the known relationship between the binding foundations and sexist attitudes is mediated by moral absolutism, a variable that reflects the degree to which people believe that their own definition of morality is objectively correct. Two different samples are used: a conventional one (Study 1, N = 321), and a forensic one at the beginning (T1) and at the end (T2) of court-mandated psychological therapy (Study 2, N = 354; N = 327).
Asenkron Motorlarda Oluk Sayısının Gövde Dışına Takılan Bir Bobinle Belirlenmesi / Determination of Number of Rotor Slots of an Induction Machine Using an External Search Coil

Ozet Motor oluk sayisinin bilinmesi ihtiyaci motor kontrolunde ve “durum izleme” algoritmalarinda ortaya cikmaktadir. Bu makalede rotor oluk sayisini kestirmek icin sunulan yontem, bir surucu surecegi motora baglandiginda “tanima” algoritmasi icinde kolayca uygulanabilecek bir yontemdir. Yontem motor akimlari uzerinden uygulanabilecegi gibi, govde uzerine yerlestirilecek basit bir bobin araciligi ile de uygulanabilir. Bu nedenle ekipmanin mekanik duzeninde hic bir degisiklige ihtiyac birakmaz. Makalede yontemin dayandigi teori sunulduktan sonra, yapilan deneylerle kutup sayisindan bagimsiz olarak dogru sonuclar verdigi gosterilmistir. Ayrica kestirim hassasiyeti motor yukune de bagimli degildir. Bir PWM surucu ile degisik frekanslarda da deneyler yapilmistir. Bu sartlarda da hassas olarak oluk sayisi belirlenebilmektedir. Ancak, ozellikle dusuk frekanslarda birden fazla veri alinmasi geregi ortaya cikabilmektedir. Abstract The need for knowing the rotor slot number of a motor is encountered in motor control and “condition monitoring” applications. The technique presented in this paper to predict rotor slot number is a method tha can be easily applied during “self commisioning”. This method can be applied via measurement of motor current or by using a search coil placed on the frame of the motor. In the paper the theory behind the approach is presented and experiments have been done to illustrate that the method gives good results irrespective of the pole number of the motor. The method is not dependent on the loading of the motor. Experiments have also been made using a PWM drive. The method is found to give good results under this test condition as well. However, at low frequencies it may be necessary to repeat the preocedure several times.
Insight of nanotechnological processing for nano-fortified functional foods and nutraceutical—opportunities, challenges, and future scope in food for better health

Abstract In the twenty-first century food sector, nanotechnological processing is a new frontier that has vibrant impact on enhancing the food quality, nutritional value, food safety, and nano-fortified functional foods aspects. In addition, the added-value of various robust nano-scale materials facilitates the targeted delivery of nutraceutical ingredients and treatment of obesity and comorbidities. The recent advancement in nanomaterial-assisted palatability enhancement of healthy foods opened up a whole new area of research and development in food nanoscience. However, there is no comprehensive review available on promises of nanotechnology in the food industry in the existing literature. Thus, herein, an effort has been made to cover this leftover literature gap by spotlighting the new nanotechnological frontier and their future scope in food engineering for better health. Following a brief introduction, promises of nanotechnology have revolutionized the twenty-first century food sector of the modern world. Next, recent and relevant examples discuss the exploitation and deployment of nanomaterials in food to attain certain health benefits. A detailed insight is also given by discussing the role of nano-processing in nutraceutical delivery to treat obesity and comorbidities. The latter half of the work focuses on improving healthy foods’ palatability and food safety aspects to meet the growing consumer demands. Furthermore, marketed products and public acceptance of nanotechnologically designed food items as well as future prospects are also covered herein. GRAPHICAL ABTSRACT
Parecoxib ameliorates renal toxicity and injury in sepsis‐induced mouse model and LPS‐induced HK‐2 cells

Parecoxib is a selective COX‐2‐specific inhibitor, which has been demonstrated to inhibit sepsis‐induced systemic inflammation, but its role in sepsis‐induced acute kidney injury has not been studied. This study was designed to investigate the effects of Parecoxib on sepsis‐induced acute kidney injury. In this study, the mice sepsis model was established using an internationally recognized cecal ligation and puncture (CLP). Hematoxylin–eosin staining was performed to examine kidney injury. Biochemical kit was used to detect the expression of BUN and Cre in serum, and ELISA was used to detect the expression of inflammatory factors in renal tissue. Tunel staining was used to detect tissue apoptosis. Furthermore, CCK‐8 assay was used to detect the cell viability of HK‐2 cells and RT‐qPCR was used to detect the expression of LPS‐induced inflammatory factors in HK‐2 cells.TUNEL staining was used to detect the level of cell apoptosis. Finally, the expressions of COX‐2, p‐NF‐kB P65, p‐IKKβ, NF‐kB P65, IKKβ, Kim1, NGAL, iNOS, VEGF, VEGFR2, CD31 and apoptosis‐related proteins in renal tissues and HK‐2 cells were detected by Western blot. We discovered that parecoxib could alleviate renal pathological changes, reduce renal function injury, and inhibit renal pathology to inhibit the release of inflammatory factors in renal tissue. Parecoxib inhibited sepsis induced microvascular damage and apoptosis in renal tissue. Parecoxib reduced the inflammation and apoptosis of renal tubular epithelial cells induced by LPS. Our data suggest that Parecoxib ameliorates sepsis‐induced kidney injury, and may have potential as a novel therapeutic method for treating sepsis‐induced kidney injury.
Some Limitations of Ray-Tracing Software for Predicting Community Noise from Industrial Facilities

Ray-tracing software has proven to be a valuable and powerful tool to predict community noise from industrial facilities. Accurate predictions are necessary to select the noise reductions needed to meet regulations and/or project noise limits, and then to determine individual equipment noise limits, select add-on noise controls, and confirm the plant will comply with its noise limits. Although ray-tracing and similar image-source software packages have proven to be powerful, they have many limitations. To use ray-tracing software effectively to model community or in-plant noise, the user needs to understand those limitations. How the software handles barriers is considered the most significant limitation. Further, ray tracing does not adequately predict levels when the wavelength of sound is comparable to dimensions of objects in the transmission path, when diffuse reflections occur, or when sound is scattered and transmitted by equipment and piping. The empirical methodology (ISO 9613-2) used to predict outdoor propagation, including ground effects, also imposes limitations. This paper identifies and discusses many of the more important limitations of ray-tracing software for predicting community noise. Examples are given. Commercially available software is identified, but no attempt is made to compare available packages. 1. Background - What Is Ray-Tracing Software? Ray-based acoustical modeling assumes that sound acts like rays of light, which are used to find receivers and intervening objects and then predict or calculate the sound pressure level (SPL). SPLs can be predicted in the community or close to the source, at isolated receivers or as contours. Outdoor propagation from a point source is computed by summing multiple attenuations with distance, using some standard, usually ISO 9613, Part 2 1 . Everything else, including tracing sound rays and defining finite-sized sources, is handled by the ray-tracing software. The accuracy of output predictions depends on how the user chooses to model the situation, and how the software treats the input data. Accurate predictions are needed to select the noise reductions needed to meet regulations and/or project noise limits; then to determine individual equipment noise limits and select add-on noise controls; and finally to confirm that the plant will comply with applicable noise limits.
Molecular targets of exercise mimetics and their natural activators

Physical exercise can be effective in preventing or ameliorating various diseases, including diabetes, cardiovascular diseases, neurodegenerative diseases, and cancer. However, not everyone may be able to participate in exercise due to illnesses, age-related frailty, or difficulty in long-term behavior change. An alternative option is to utilize pharmacological interventions that mimic the positive effects of exercise training. Recent studies have identified signaling pathways associated with the benefits of physical activity and discovered exercise mimetics that can partially simulate the systemic impact of exercise. This review describes the molecular targets for exercise mimetics and their effect on skeletal muscle and other tissues. We will also discuss the potential advantages of using natural products as a multi-targeting agent for mimicking the health-promoting effects of exercise.
Smart millimeter-wave devices using liquid crystal

Smart liquid crystal (LC) millimeter-wave (MMW) electronic devices are demonstrated using the electrically- controllable permittivity through LC directors’ reorientation. In this paper, we review the LC classes and its important physical properties for the proposed applications. Some commercially available LCs exhibit a relatively large birefringence (Δn~0.2) in MMW bands and, therefore, are useful for millimeter wave devices. A nonradiative dielectric waveguide using LC is proposed and characterized using numerical simulations. The simulation results show that the LC waveguide is promising for future MMW technologies.
Cucumber Leaf Disease Classification using Local Tri-directional Patterns and Haralick Features

Plant’s diseases cause major economic and production losses in the agricultural industry around the world. Farmers are mostly struggling in controlling and identification of plant diseases. Thus, timely detection of diseases will be beneficial for farmers, so they can avoid further losses. In this research, a machine learning-based technique is introduced for the classification of cucumber diseases i.e., Healthy, Anthracnose, Aphids and CYSDV. For conducting this research dataset is gathered from a cucumber farm with the single-lens reflex camera. The main aim is to design a model that is robust to noise in real-time problems. The immense noise in images made the task tough and interesting. Firstly, Images are converted to LAB color space, and Region of Interest (ROI) is extracted through K-mean clustering. Secondly, Haralick features, and Local Tri Directional pattern (LTriDP) are serially fused. Quadratic Support Vector Machine (Q-SVM) classifies disease with a success rate of 96.80%.