Single Rotation Research Articles

Работа тонкостенных стальных стержней, предварительно напряженных вытяжкой стенки, при случайных динамических воздействиях

A method for prestressing thin-walled beams with an asymmetric cross section is described. The parameters of the stressed and strained state of the rods are established. By comparing the kinetic and potential energies of composite rods, the circular frequency and angular velocity of conventional and pre-stressed beams when loaded with a single load are determined using the energy method. Stressed and deformed state of ordinary and pre-stressed steel beams under sudden single rotation of the section of the support node has been investigated. It has been established that pre-stressing does not affect the stressed and strained state of the support nodes. The maximum influence of the pre-stressing is set in the area of the maximum moment from the external load. The bearing capacity of the beams changes insignificantly with a sudden single rotation of the support nodes.

A Vehicle-Based Laser System for High-Resolution DEM Development – Performance Evaluation of System Components.

Surface microtopography is quantified by the deviations in the direction of the normal vector of the surface. Soil microtopography is a major factor influencing soil erosion by water and wind. Surface microtopography can be accurately described using the Digital Elevation Model (DEM). In this study, a vehicle-based laser system was developed to generate high-resolution DEM data. The system consisted of five major components: a laser line scanner, a gyroscope sensor, a real-time kinematic GPS, a frame-rail mechanism, and a data acquisition and control unit. A series of experiments were conducted in the laboratory to evaluate the performance of the components. The result of distance measurements indicated that the system gave the most consistent distance measurement on a white paper. Static gyroscope sensor accuracy tests showed that angle measurement errors observed in combined pitch/roll rotations were larger than in single rotations. Within ±30º of single rotations, the measurement errors for pitch and roll angles were within 0.8º and 0.4º, respectively. The tests of the angular displacement on the linear rail showed that it slightly tilted towards the laser line scanner when it moved along the rail.

Semantic segmentation of point cloud data using raw laser scanner measurements and deep neural networks

Deep learning methods based on convolutional neural networks have shown to give excellent results in semantic segmentation of images, but the inherent irregularity of point cloud data complicates their usage in semantically segmenting 3D laser scanning data. To overcome this problem, point cloud networks particularly specialized for the purpose have been implemented since 2017 but finding the most appropriate way to semantically segment point clouds is still an open research question. In this study we attempted semantic segmentation of point cloud data with convolutional neural networks by using only the raw measurements provided by a multiple echo detection capable profiling laser scanner. We formatted the measurements to a series of 2D rasters, where each raster contains the measurements (range, reflectance, echo deviation) of a single scanner mirror rotation to be able to use the rich research done on semantic segmentation of 2D images with convolutional neural networks. Similar approach for profiling laser scanner in forest context has never been proposed before. A boreal forest in Evo region near Hämeenlinna in Finland was used as experimental study area. The data was collected with FGI Akhka-R3 backpack laser scanning system, georeferenced and then manually labelled to ground, understorey, tree trunk and foliage classes for training and evaluation purposes. The labelled points were then transformed back to 2D rasters and used for training three different neural network architectures. Further, the same georeferenced data in point cloud format was used for training the state-of-the-art point cloud semantic segmentation network RandLA-Net and the results were compared with those of our method. Our best semantic segmentation network reached the mean Intersection-over-Union value of 80.1% and it is comparable to the 80.6% reached by the point cloud -based RandLA-Net. The numerical results and visual analysis of the resulting point clouds show that our method is a valid way of doing semantic segmentation of point clouds at least in the forest context. The labelled datasets were also released to the research community.

Palladium-Catalyzed Modular and Enantioselective cis-Difunctionalization of 1,3-Enynes with Imines and Boronic Reagents.

Here we report that a palladium(0) complex can mediate the unprecedented intermolecular coupling reaction of 1,3-enynes and N-sulfonylimines regio- and stereoselectively, and the resultant palladium(II) species undergo a cascade Suzuki reaction with organoboronic reagents. The substrate scope is substantial for the asymmetric three-component process, and the enantioenriched all-carbon tetra-substituted alkene derivatives are efficiently constructed in a modular and cis-difunctionalized manner. Control experiments and density functional theory (DFT) calculations support the idea that the palladium(0) acts as a π-Lewis base catalyst by chemoselectively forming η2-complexes with the alkene moiety of 1,3-enynes, thus increasing the nucleophilicity of the alkyne group based on the principle of vinylogy, to attack imines enantioselectively. The preferable formation of aza-palladacyclopentene intermediates, via a 90° single bond rotation from the resultant π-allyl complex, guarantees the formal cis-carbopalladation of alkyne group. In addition, a palladium(0)-catalyzed enantioselective reductive coupling of 1,3-enyne and imine is realized by using formic acid as hydrogen transfer reagent.

On the Tightness of Semidefinite Relaxations for Rotation Estimation

Why is it that semidefinite relaxations have been so successful in numerous applications in computer vision and robotics for solving non-convex optimization problems involving rotations? In studying the empirical performance, we note that there are few failure cases reported in the literature, in particular for estimation problems with a single rotation, motivating us to gain further theoretical understanding. A general framework based on tools from algebraic geometry is introduced for analyzing the power of semidefinite relaxations of problems with quadratic objective functions and rotational constraints. Applications include registration, hand–eye calibration, and rotation averaging. We characterize the extreme points and show that there exist failure cases for which the relaxation is not tight, even in the case of a single rotation. We also show that some problem classes are always tight given an appropriate parametrization. Our theoretical findings are accompanied with numerical simulations, providing further evidence and understanding of the results.

Evaluation of Vertebral derotation in the correction of Adolescent Idiopathic Scoliosis

Abstract Background Adolescent idiopathic scoliosis (AIS) represents a complex three-dimensional deformity. The rotation of the apical vertebrae is primarily responsible for the rib hump that represents the main cosmetic problem for adolescent patients. Correcting rotational deformity and maintaining the normal sagittal profile of the spine is more important than onlycorrecting coronal deformity. Aim of the Work to evaluate the efficacy of vertebral derotation using Single Concave Rod Rotation (SCRR) maneuver in the treatment of patients with Adolescent Idiopathic Scoliosis (AIS) by clinical and radiological follow up for 1 year. Patients and Methods This prospective analysis was done on 30 patients with AIS, who underwent one stage posterior only corrective surgery with SCRR maneuver between 2016 and 2019 at Ain Shams University Hospitals in order to correct their deformities. All patients included in this study had idiopathic curve between 40 and 80 degrees, with flexibility index < 50%, and their ages were between 10 and skeletal maturity. Results Compared to the results obtained by other studies using the same technique, our study included patients with relatively large curve magnitude and the lowest flexibility index, had average coronal correction rate by about 65.5% and minimal correction loss during follow up (-1°). Furthermore, our study included the largest mean preoperative RA. The axial correction rate was average (32.7%) and has the lowest complication rate and better clinical outcome and patient satisfaction among other studies that used SCRR maneuver. However, the mean operating time in our series in the present study was longer than the mean operating time in the literature. The mean amount of blood loss in our study was more than the mean amount in other studies. Conclusion Simple concave rod rotation is a good option for correction of the deformed curve in AIS. We can state that simple concave rod rotation with pedicle screw instrumentation and without the use of DVD maneuver could successfully correct both coronal and axial deformity with minimal complication. Adding DVD technique offers a better correction of apical vertebra rotation.

Proximal humeral coordinate systems can predict humerothoracic and glenohumeral kinematics of a full bone system.

Clinical imaging often excludes the distal humerus, confounding definition of common whole-bone coordinate systems. While proximal anatomy coordinate systems exist, no simple method transforms them to whole-bone systems. Their influence on humeral kinematics is unknown. How do humeral kinematics vary based on proximal and whole-bone coordinate systems, and can average rotation matrices accurately convert kinematics between them? Three proximal coordinate systems were defined by the lesser and greater tuberosities (LT, GT), Crest of the greater tuberosity, and humeral shaft. Average rotation matrices derived from anatomic landmarks on cadaver humeri were generated between the proximal and whole-bone coordinate systems. Absolute angle of rotation was used to determine if anatomical variability within the cadaver population influenced the matrices. The matrices were applied to humerothoracic and glenohumeral motion (collected previously) and analyzed using the proximal coordinate systems, then expressed in the whole-bone system. RMSE was used to compare kinematics from the proximal and whole-bone systems. A single average rotation matrix between a given proximal and whole-bone coordinate system achieved consistent error, regardless of landmarks. Elevation and plane of elevation had <2° mean error when proximal coordinate systems were transformed to whole-bone kinematics. Axial rotation had a mean 7° error, primarily due to variable humeral head retroversion. Absolute angles of rotation did not statistically differ between subgroups. The average rotation matrices were independent of sex, side, and motion. Proximal humerus coordinate systems can accurately predict whole-bone kinematics, with most error concentrated in axial rotation due to anatomic twist along the bone. These results enhance interpretability and reproducibility in expressing humerothoracic and glenohumeral motion data between laboratories by providing a simple means to convert data between common coordinate systems. This is necessitated by the lack of distal humerus anatomy present in most clinical imaging.

Comparison of Pre and Post-Operative Thoracohumeral Kinematics between Single and Multi-Tendon Rotator Cuff Tears

<h3>Research Objectives</h3> To conduct a biomechanical evaluation of patients with single and multi-tendon rotator cuff tears to elucidate the changes in thoracohumeral joint motion occurring within the first year of repair as compared to the non-injured arm. <h3>Design</h3> Longitudinal, prospective. <h3>Setting</h3> Mobility Lab at the University of Wisconsin-Milwaukee. <h3>Participants</h3> Ten patients with rotator cuff tears stratified into two groups: supraspinatus tear only n=5 (single) and a supraspinatus tear plus at least one other muscle involved n=5 (multi). Mean age for the single tear group: 63.2 (±7.9 years) and multi tear group: 61.4 (±5.9 years). Mean tear size was 1.2 (±0.2 cm) for the single group and 3.0 (±1.4 cm) for the multi. Participants were evaluated pre-operatively (pre-op) and at approximately 3 months and 6 months post-operatively (post-op). <h3>Interventions</h3> Not applicable. <h3>Main Outcome Measures</h3> Peak thoracohumeral (TH) joint external rotation. <h3>Results</h3> When comparing the post-op average peak TH joint external rotation of the surgical arm to the non-injured arm within each group, both had significantly less external rotation of the surgical arm at 3 months post-op, but only the single tear group had significantly less at 6 months post-op (p = 0.00016). When comparing the average peak TH joint external rotation at each visit between groups, the multi tear group had significantly greater external rotation of the surgical arm at the pre-op (p=0.04) and 6 months post-op (p=0.01) visits. <h3>Conclusions</h3> The multi tear group had significantly higher motion pre-op and 6 months post-op than the single tear group and normalized to the non-injured arm at 6 months. These results suggest pre-op motion plays a key role in rehabilitation progress, potentially more than the number of muscle tears. <h3>Author(s) Disclosures</h3> The authors have nothing to disclose.

Consequences of constant elevation scans for instrumental systematics in Cosmic Microwave Background Experiments

Instrumental systematics need to be controlled to high precision for upcoming Cosmic Microwave Background (CMB) experiments. The level of contamination caused by these systematics is often linked to the scan strategy, and scan strategies for satellite experiments can significantly mitigate these systematics. However, no detailed study has been performed for ground-based experiments. Here we show that under the assumption of constant elevation scans (CESs), the ability of the scan strategy to mitigate these systematics is strongly limited, irrespective of the detailed structure of the scan strategy. We calculate typical values and maps of the quantities coupling the scan to the systematics, and show how these quantities vary with the choice of observing elevations. These values and maps can be used to calculate and forecast the magnitude of different instrumental systematics without requiring detailed scan strategy simulations. As a reference point, we show that inclusion of even a single boresight rotation angle significantly improves over sky rotation alone for mitigating these systematics. A standard metric for evaluating cross-linking is related to one of the parameters studied in this work, so a corollary of our work is that the cross-linking will suffer from the same CES limitations and therefore upcoming CMB surveys will unavoidably have poorly cross-linked regions if they use CESs, regardless of detailed scheduling choices. Our results are also relevant for non-CMB surveys that perform constant elevation scans and may have scan-coupled systematics, such as intensity mapping surveys.

Streptonaphthyridine A, a new naphthyridine analogue with antiproliferative activity against human glioma cells from mariana trench-associated actinomycete Streptomyces sp. SY2111

A new naphthyridine analogue, named streptonaphthyridine A (1), together with eight previously reported compounds (2–9), were isolated from a Mariana Trench sediment-associated actinomycete Streptomyces sp. SY2111. Planar structure of streptonaphthyridine A was established by analyses of its HRESIMS data and extensive NMR spectra and its absolute configuration was determined by a combination of single crystal X-ray diffraction analysis and optical rotation calculations. Streptonaphthyridine A (1) had antiproliferative activity against human glioma U87MG and U251 cells with IC50 values of 7.9 ± 1.3 and 13.4 ± 2.7 µM, respectively, and the known compound monomethylsulochrin (7) showed more potent activity with IC50 values of 0.6 ± 0.1 µM for U87MG cells and 0.1 ± 0.0 µM for U251 cells.

A photoswitchable “turn-on” fluorescent chemosensor: Quinoline-naphthalene duo for nanomolar detection of aluminum and bisulfite ions and its multifarious applications

A quinoline-naphthalene duo-based Schiff base probe (R) was synthesized and characterized by the usual spectroscopic and single-crystal X-ray crystallographic techniques. Probe R detects Al3+ and HSO3− ions via the fluorescent turn-on approach by dual pathways i.e., i) when probe R interacts with Al3+, the restriction of CN single bond rotation, blocking of both photoinduced electron transfer (PET) and CN isomerization were observed, and ii) when the sensor R interacts with HSO3−, imine (CH = N) bond was cleaved via hydrolysis and produced the respective aldehyde and amine behaving as a chemodosimeter. The binding stoichiometric ratio of R + Al3+ (1:1) was confirmed by Job’s plot, emission titration profile, NMR, and mass spectrometric analyses. This probe R is highly selective to both Al3+ -ions and HSO3− -ions, without any interference of other potentially competing cations and anions. Limit of detection (LOD) and quantification (LOQ) of R with Al3+ and HSO3− were downed to nanomolar concentrations, which is much lower than the recommended level of drinking water/food fixed by the World Health Organization (WHO). Furthermore, probe R was utilized in the detection of Al3+ and HSO3− ions in highly contaminated real samples, bioimaging in E. coli cells, multiple-targeting molecular logic gate, and in bovine serum albumin (BSA) binding.

Determination of manganese in urine by direct dilution-inductively coupled plasma mass spectrometry

Objective: To establish a direct dilution-inductively coupled plasma mass spectrometry method for the determination of manganese in urine. Methods: Using 1% nitric acid solution as diluent, the urine dilution factor and internal standard elements were determined by single factor rotation experiment. The linear range, correlation coefficient, precision, accuracy and detection limit of the direct dilution-inductively coupled plasma mass spectrometry for the determination of manganese in urine were evaluated. Results: The linear range of this method was 0.0-20 μg/L, the correlation coefficient was 0.999 9, the detection limit was 0.02 μg/L, the recoveries were 84.65%-103.40%, the relative standard deviations were 0.26%-8.17%. Conclusion: This method has the advantages of simple operation, high sensitivity and low detection limit. It can be used for the determination of urine manganese at the same time with other elements. It is suitable for the determination of urine manganese in workers and ordinary people.

Microstepping synchronization via hybridization of Mamdani’s Fuzzy Logic for the plasmonic tracker

A plasmonic tracker had been developed for a plasmonic energy detection. It serves to determine resonance angle and refractive index of a dielectric material. A microstepping is required for scanning the reflected beam at a high resolution. Therefore, a precise control is crucial to align the photodiode parallel to the reflected laser beam at smallest angle displacement in a single rotation. The objective are to: 1- Synchronize two bipolar stepper motors for annular / rotational stage via the microstepping, 2- Determine the delay interval with Mamdani’s FIS and 3-Evaluate the Fuzzy Logic Controller in the MATLAB Simulink interface. Hybridization of Mamdani’s Fuzzy Logic was applied to determine appropriate delay interval for the Plasmonic Tracker. Two input variables and one output variable respectively were defined as Error, Change Error and Delay. Time delays interval were varied from 0.1s to 1s for synchronizing different microstepping resolution. The annular / rotary stages cater 8000 / 3200 microsteps at 0.045° / 0.1125° at a single rotation. Both stages cater a 7.5 ms per cycle for 360° span of angular interrogation within 60 second. Therefore, step sizes is matched with gear ratio of 2.5 with respective pulse for rotary stage / annular stage were 1 ms and 2 ms / 3 ms per cycle. MATLAB results was compared to centroid calculation and Simulink results The Fuzzy logic had demonstrates an efficient control, instant response and outstanding conversion based on the expert rule-based system.

Binary classification of single qubits using quantum machine learning method

Machine learning can make predictions on unseen data by extracting information and constructing algorithms and statistical models from the training data, which is highly desirable for speech recognition and computer vision. Quantum computing harnesses the phenomena of quantum mechanics realizing parallel computing, which could solve certain computational problems, such as RSA encryption significantly faster than classical computers. Quantum machine learning is reasonable to enable machine learning faster than that of classical computers by utilizing quantum operations. Binary classification is a typical quantum machine learning task applied to single qubits. Here we present a binary classifier for regions. Firstly, we sample two sets of quantum data points located in the X-Z plane of the Bloch sphere randomly. Then we utilize a single parameterized rotation gate and measure the qubits along the Z axis. We train the hybrid model combined by quantum mdoel and classical Neutral network and regard the corss entropy the predictions of the classical Netural network and labels as the loss function. Based on the above, we present the results of the trained hybrid model to classify new quantum qubits.

Single Row Rotator Cuff Repair with Triple Loaded Suture Anchors: The SCOI Row Technique

AbstractSince the introduction of rotator cuff repair in the beginning of the 20th century, there have been significant advances in the surgical techniques and improvement in patient outcomes. However, controversy remains regarding the best method for tendon repair, including implant choice, ideal suture construct, and the potential benefits of supplemental biologic additives in order to achieve repair with the best opportunity for healing. The “SCOI Row” technique has been refined over three decades with extensive application and consistently good outcomes. Our technique uses a single row of anchors, triple loaded with a high-strength suture maximizing the number of sutures passed through the tendon to repair the rotator cuff arthroscopically. These anchors are placed 3-4 millimeters from the articular cartilage, providing strong anchorage and a low-tension repair. Debridement of devitalized tendon and only incorporating healthy tendon into the repair is imperative. The biology of the repair is enhanced with bone marrow vents created via microfracture of the greater tuberosity, forming the “Crimson Duvet” or bone marrow super-clot that will envelope the repair site. The bone marrow vents deliver marrow elements, including growth factors and mesenchymal cells that will help to regenerate the footprint of the rotator cuff. This repair construct has been evaluated biomechanically by other investigators and is favorable, as compared to dual row repairs. Our outcomes show greater than 90 % healing rate on postoperative magnetic resonance imaging and excellent patient-reported outcomes.

Comparison of an oblique single cut rotation osteotomy with a novel 3D computer-assisted oblique double cut alignment approach

An oblique double-cut rotation osteotomy (ODCRO) enables correcting a complex bone deformation by aligning, in 3D, the distal, middle and proximal bone segments with a target bone, without intersegmental gaps. We propose virtual preoperative planning of an ODCRO. To minimize a residual translation error, we use an optimization algorithm and optimize towards bone length, alignment in the transverse direction, or a balanced reconstruction. We compare the residual alignment error with an oblique single-cut rotation osteotomy using 15 complex bone deformations. The single-cut approach was not feasible in 5 cases, whereas the ODCRO procedure was feasible in all cases. The residual alignment error was smaller for the ODCRO than for the single-cut approach except for one case. In a subset for length reconstruction, the length error of 7.3–21.3 mm was restored to 0.0 mm in 4 of 5 cases, although at the cost of an increased transverse translation. The proposed method renders planning an ODCRO feasible and helps restoring bone alignment and lengthening better than an oblique single-cut rotation osteotomy. Awareness of the challenges and possibilities in preoperative planning of an ODCRO will be of value for future alignment surgery and for patients.

Use of cone-beam computed tomography for advanced imaging of the equine patient.

Access to volumetric imaging modalities, such as magnetic resonance imaging (MRI) and computed tomography (CT), has increased over the past decade and has revolutionised the way clinicians evaluate equine anatomy. More recent advancements have resulted in the development of multiple commercially available cone-beam CT (CBCT) scanners for equine use. CBCT scanners modify the traditional fan-shaped beam of ionising radiation into a three-dimensional pyramidal- or cone-shaped beam of radiation. This modification enables the scanner to acquire sufficient data to create diagnostic images of a region of interest after a single rotation of the gantry. The rapid acquisition of data and divergent X-ray beam causes some artifacts to be more prominent on CBCT images-as well as the unique cone-beam artifact-resulting in decreased contrast resolution. While the use of CT for evaluation of the equine musculoskeletal anatomy is not new, there is a paucity of literature and scientific studies on the capabilities of CBCT for equine imaging. CBCT units do not require a specialised table for imaging and in some cases are portable for imaging in the standing or anaesthetised patient. This review article summarises the basic physics of CT technology, including how CBCT imaging differs, and provides objective information about the strengths and limitations of this modality. Finally, potential future applications and techniques for imaging with CT which will need to be explored in order to fully consider the capabilities of CT imaging in the horse are discussed.

Technical Note: Volumetric computed tomography for radiotherapy simulation and treatment planning.

PurposeFor lung and liver tumors requiring radiotherapy, motion artifacts are common in 4D‐CT images due to the small axial field‐of‐view (aFOV) of conventional CT scanners. This may negatively impact contouring and dose calculation accuracy and could lead to a geographic miss during treatment. Recent advancements in volumetric CT (vCT) enable an aFOV up to 160 mm in a single rotation, which may reduce motion artifacts. However, the impact of large aFOV on CT number required for dose calculation needs to be evaluated before clinical implementation. The objective of this study was to determine the utility of a 256‐slice vCT scanner for 4D‐CT simulation by evaluating image quality and generating relative electron density (RED) curves.MethodsImages were acquired on a 256‐slice GE Revolution CT scanner with 40 mm, 80 mm, 120 mm, 140 mm, and 160 mm aFOV. Image quality was assessed by evaluating CT number linearity, uniformity, noise, and low‐contrast resolution. The relationship between each quality metric and aFOV was assessed.ResultsCT number linearity, uniformity, noise, and low‐contrast resolution were within the expected range for each image set, except CT number in Teflon and Delrin, which were underestimated. Spearman correlation coefficient (ρ) showed that the CT number for Teflon (ρ = 1.0, p = 0.02), Delrin (ρ = 1.0, p = 0.02), and air (ρ = 1.0, p = 0.02) was significantly related to aFOV, while all other measurements were not. The measured deviations from expected values were not clinically significant.ConclusionThese results suggest that vCT can be used for CT simulation for radiation treatment planning.

Modeling of Robot's Low-Speed Motion Nonlinear Dynamics Based on Phase Space Reconstruction Neural Network

Abstract In order to improve the accuracy of the robot dynamics model, a low-speed motion nonlinear dynamics modeling method of industrial robot based on phase space reconstruction neural network is proposed. It is confirmed in advance by the largest Lyapunov exponent of joint motor torque data that the robot has chaotic characteristics at low-speed motion. Therefore, experimental data and chaos theory is used to analyze low-speed motion nonlinear dynamics, instead of considering each factor that may cause the robot's nonlinear dynamics separately. The phase space reconstruction parameters of each joint are determined by autocorrelation method and false nearest neighbor method. Through data preprocessing and analysis, some joint position derivatives related to the changing law of torque data are determined. The phase space reconstruction values of these derivatives are chosen as the inputs of neural network. Then the neural network and curve fitting method are combined to compensate for the nonlinear joint torque. Experimental results show that the proposed method can better describe the robot's low-speed motion nonlinear dynamics, and has smaller errors compared with ordinary back propagation (BP) neural network in the case of single joint rotation.

Rhodanine-based fluorometric sequential monitoring of silver (I) and iodide ions: Experiment, DFT calculation and multifarious applications

A simple rhodanine derived fluorophoric unit has been designed for selective detection of Ag+ and I- ions in DMSO-H2O medium. The sensor R1 showed an obvious “turn-on” fluorescence response toward Ag+ due to the inhibition of both C-N single bond free rotation, internal charge transfer (ICT) and the formation of chelation enhanced fluorescence (CHEF) effects. The fluorescence quantum yield (Φ) was increased from 0.0013 to 0.032 for receptor R1 upon the Ag+-complexation. In addition, the 1:1 complexing stoichiometry was employed based on Job’s plot analysis with detection limit of 24.23 × 10−7 M. Conversely, receptor R1+Ag+ particularly detects I- ion over other co-existing anions by the “turn-off” fluorescence response due to the formation of AgI, displacing the receptor R1 with the quantum yield of 0.0014. The detection limit was calculated to be 22.83 × 10−7 M. The sensing behaviour of receptor R1 toward Ag+ was also supported by density functional theory (DFT) calculations. Moreover, the sensing ability of reported receptor R1 could be exercised in multifarious applications like paper strip, silica-supported analysis, staining test for latent finger print, logical behaviour, smartphone-assisted quantitative detection and real water samples studies.