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Background: For an accurate orthodontic diagnosis and management, knowledge of face development and progression is required. Objective: To evaluate the linear cranial base (LCB) and angular cranial base (ACB) measurements in various Anterior and Posterior (AP) skeletal correlations, research study used Bjork-Jarabak evaluation. Material and Methods: A total of 220 young participants presenting (120 females and 100 males; average ages of 19.34 ± 2.51 and 24.84 ± 2.81 years, correspondingly) at the Multan Medical and Dental College, Multan from March 2022 to September 2022, Pakistan, served as the basis for this retrospective cross-sectional study. Results: In comparison to Jarabak's standards, male dimensions revealed significant differences in the articular angle, AP cranial bases, ramus height, jaw length, anterior face height while women displayed low significant differences, with the exception of mandibular body length, which is longer in Pakistani women. Conclusion: Skeletal differences between Pakistani man and women were considerable, and a contrast to the study of Bjork Jarabak's standardized linear and angular values was also noteworthy.

We report a novel glycan array architecture that binds the mannose-specific glycan binding protein, concanavalin A (ConA), with sub-femtomolar avidity. A new radical photopolymerization developed specifically for this application combines the grafted-from thiol-(meth)acrylate polymerization with thiol-ene chemistry to graft glycans to the growing polymer brushes. The propagation of the brushes was studied by carrying out this grafted-to/grafted-from radical photopolymerization (GTGFRP) at >400 different conditions using hypersurface photolithography, a printing strategy that substantially accelerates reaction discovery and optimization on surfaces. The effect of brush height and the grafting density of mannosides on the binding of ConA to the brushes was studied systematically, and we found that multivalent and cooperative binding account for the unprecedented sensitivity of the GTGFRP brushes. This study further demonstrates the ease with which new chemistry can be tailored for an application as a result of the advantages of hypersurface photolithography.

Limited capacity and short life cycle of a battery are the major impediments in development of practical Electric Vehicles (EVs). Eco-driving is an optimization technique through which a velocity trajectory that consumes minimum energy is advised to the driver. However, presence of traffic signals to control large traffic network degrades the performance of eco-driving; as applying brakes to stop and then maximum re-acceleration to restart a trip consumes lot of energy. Eco-driving problem with multiple traffic signals and static model of battery has been proposed as Two Point Boundary Value Problem (TPBVP). TPBVP fails to solve multi-phase problem as a single phase due to discontinuity of the co-states at the junction, that is, start of a new phase. This paper investigates an optimal solution with both EV and battery dynamics in the presence of multiple traffic signals as Multi Point Boundary Value Problem (MPBVP) using multiple shooting technique. Traffic signals come at some intermediate points of a trip. MPBVP ensures continuity at the junction to solve the multi-phase problem as a single phase through inter dependencies between each phases. Goal of this work is not only to solve constrained eco-driving problem with traffic signals but also include charging and discharging limits on battery that indirectly improves battery’s life cycle. Results indicate that EV has crossed all the traffic signals during their green duration without applying brakes with also satisfying all the other constraints and continuity condition. Moreover, it can be seen that energy consumption using MPBVP is also marginally lesser as compared to TPBVP.

Hemp is a high-value crop that originated in Central Asia and is a historic but emerging cultivated plant. It may be grown for fiber, food, paper making, textiles, and therapeutic reasons. In the 21st century, market interest in hemp and its products has notably increased because seed portions can be utilized in the agri-food business, the woody component of the stem can be used in green buildings, the outer layer of the stems can be used in the textile industry, and the extraction of bioactive components from roots can play a vital role in the pharmacological industries. Hemp has recently been demonstrated to be a viable alternative for economies built on synthetic materials by the food, pharmaceutical, textiles, paper, building, and energy industries, among others. As a result, the goal of this study is to assemble the significant advancements in hemp, as well as to identify research gaps and research direction opportunities. The hemp plant will be provided more encouragement to be grown and be used. Many applications of hemp may be pushed to the next level for both producing a green environment and profit. A strong vision and a well-defined plan will pave the path for the discovery of new technologies and concepts.

Spatially encoded glycan microarrays promise to rapidly accelerate our understanding of glycan binding in myriad biological processes, which could lead to new therapeutics and previously unknown drug targets. Here, we bring together a digital micromirror device, microfluidic introduction of inks, and advanced surface photochemistry to produce multiplexed glycan microarrays with reduced feature diameters, an increased number of features per array, and precise control of glycan density at each feature. The versatility of this platform was validated by printing two distinct glycan microarrays where, in the first, different glycans were immobilized to create a multiplexed array and, in another, the density of a single glycan was varied systematically to explore the effect of surface presentation on lectin-glycan binding. For lectin binding studies on these miniaturized microarrays, a microfluidic incubation chip was developed that channels multiple different protein solutions over the array. Using the multiplexed array, binding between eight lectin solutions and five different glycosides was determined, such that a single array can interrogate the binding between 40 lectin-glycan combinations. The incubation chip was then used on the array with varied glycan density to study the effects of glycan density on lectin binding. These results show that this novel printer could rapidly advance our understanding of critical unresolved questions in glycobiology, while simultaneously increasing the throughput and reducing the cost of these experiments.

Synthetic carbohydrate receptors (SCRs) that selectively recognize cell-surface glycans could be used for detection, drug delivery, or as therapeutics. Here we report the synthesis of seven new C2h symmetric tetrapodal SCRs. The structures of these SCRs possess a conserved biaryl core, and they vary in the four heterocyclic binding groups that are linked to the biaryl core via secondary amines. Supramolecular association between these SCRs and five biologically relevant C1 -O-octyloxy glycans, α/s-glucoside (α/s-Glc), α/s-mannoside (α/s-Man), and s-galactoside (s-Gal), was studied by mass spectrometry, 1 H NMR titrations, and molecular modeling. These studies revealed that selectivity can be achieved in these tetrapodal SCRs by varying the heterocyclic binding group. We found that SCR017 (3-pyrrole), SCR021 (3-pyridine), and SCR022 (2-phenol) bind only to s-Glc. SCR019 (3-indole) binds only to s-Man. SCR020 (2-pyridine) binds s-Man and α-Man with a preference to the latter. SCR018 (2-indole) binds α-Man and s-Gal with a preference to the former. The glycan guests bound within their SCR hosts in one of three supramolecular geometries: center-parallel, center-perpendicular, and off-center. Many host-guest combinations formed higher stoichiometry complexes, 2:1 glycan⋅SCR or 1:2 glycan⋅SCR, where the former are driven by positive allosteric cooperativity induced by glycan-glycan contacts.

Electric vehicles (EVs) powered by electric motors and batteries have solved the issues related to the environmental pollution. The major concern with electric vehicles is their short range, which is due to the limited capacity of a battery installed in the system. Limited range issue can be solved or minimized through eco-driving; an optimization technique in which a driver is advised to follow a velocity profile that consumes minimum energy. In the recent past, eco-driving problem with an online requirement using the static model of a battery has been discussed. Eco-driving problem has been formulated as an optimal control problem, where the goal is to minimize vehicle power consumption only. In this work, the goal is extended to increase the life cycle of battery along with power consumption. For this purpose, battery dynamics are included along with vehicle dynamics. To increase the battery’s life cycle constraints are applied to avoid the battery from getting fully charged and discharged. Problem is solved using pontryagin’s minimum principle (PMP), where initial and final position of a vehicle, initial velocity of a vehicle and total trip time is fixed. Optimal torque, optimized velocity trajectory and constrained state of charge during a trip are generated that in turn minimize the energy consumption of the battery. The results have shown that constrained case is approximately 7 percent more efficient in terms of energy consumption than an unconstrained case. Reduction in energy consumption, coupled with battery constraints result in proper charging and discharging of the battery thereby extending battery life.

Interactions between cell surface glycans and glycan binding proteins (GBPs) have a central role in the immune response, pathogen-host recognition, cell-cell communication, and a myriad other biological processes. Because of the weak association between GBPs and glycans in solution, multivalent and cooperative interactions in the dense glycocalyx have an outsized role in directing binding affinity and selectivity. However, a major challenge in glycobiology is that few experimental approaches exist for examining and understanding quantitatively how glycan density affects avidity with GBPs, and there is a need for new tools that can fabricate glycan arrays with the ability to vary their density controllably and systematically in each feature. Here, we use thiol-ene reactions to fabricate glycan arrays using a recently developed photochemical printer that leverages a digital micromirror device and microfluidics to create multiplexed patterns of immobilized mannosides, where the density of mannosides in each feature was varied by dilution with an inert spacer allyl alcohol. The association between these immobilized glycans and FITC-labeled concanavalin A (ConA) - a tetrameric GBP that binds to mannosides multivalently - was measured by fluorescence microscopy. We observed that the fluorescence decreased nonlinearly with increasing spacer concentration in the features, and we present a model that relates the average mannoside-mannoside spacing to the abrupt drop-off in ConA binding. Applying these recent advances in microscale photolithography to the challenge of mimicking the architecture of the glycocalyx could lead to a rapid understanding of how information is trafficked on the cell surface.

From the last few years, there has occur an increase in number of cars, which has badly affected our transport system and specially traffic on the roads. Traffic congestion and traffic accidents are the major concerns due to an increase in number of vehicles. Many efforts have been made in the last few years to improve safety and comfort in vehicular system. One of present focus is intelligent transport system (ITS) to ensure safety and comfort for the passenger. The main focus of this paper is to control the longitudinal dynamics of a vehicle, which make sure that a safe distance is kept between the leading and following vehicle. The major drawback with the existing control techniques is the inability to perform well in the presence of various parameters, which vary with the variation in the external factors like temperature and etc. This paper focuses on the development of a sliding mode control (SMC) for the longitudinal dynamics of automotive vehicle in a platoon system. System response will be observed in the presence of parametric uncertainty. First order and Second order sliding mode is applied and results are compared by comparing chattering in both the cases.

Zika virus (ZIKV), a mosquito-borne flavivirus, is a global health concern because of its association with severe neurological disorders. Currently, there are no antiviral therapies that have been specifically approved to treat ZIKV, and there is an urgent need to develop effective anti-ZIKV agents. Here, we report anti-ZIKV activity of 16 synthetic carbohydrate receptors (SCRs) that inhibit ZIKV infection in Vero and HeLa cells. Using a ZIKV reporter virus particle-based infection assay, our data demonstrates these SCRs are highly potent with IC50s as low as 0.16 μM and negligible toxicity at several-fold higher concentrations. Time-of-addition studies showed that these SCRs inhibit the early stages of the virus infection, which is consistent with the proposed mode of action, where the SCRs likely inhibit binding between the virus and cell-surface glycans, thereby preventing viral entry into the cells and, as such, this study demonstrates a potential new strategy against ZIKV.

Synthetic carbohydrate receptors could serve as agents for disease detection, drug delivery, or even therapeutics, however, they are rarely used for these applications because they bind weakly and with a preference towards the all-equatorial glucosides that are not prevalent on the cell surface. Herein the binding of 8 receptors with 5 distinct octyloxy pyranosides, which was measured by mass spectrometry and by 1 H NMR titrations in CD2 Cl2 at 298 K, is reported, providing binding affinities that vary from ≈101 -104 m-1 . Although the receptors are promiscuous, 1 shows selectivity for β-Man at a ratio of 103:1 β-Man:β-Gal, receptors 2-4 and 6 have preference for α-Man, 5 is selective for β-Gal, and 10 prefers α-Glc (Man=mannose; Gal=galactose, Glc=glucose). A variety of 1D and 2D NMR, and computational techniques were used to determine the thermodynamic binding parameters (ΔHo and ΔSo ) and the structure of the host-guest complex, revealing that dimeric receptor 10 binds β-Man with increased enthalpy, but a larger entropic penalty than 1. The first-principles modelling suggests that 10⋅β-Man forms an inclusion-type complex where the glycan engages both monomeric subunits of 10 through H-bonding and C-H⋅⋅⋅π interactions. Like natural glycan-binding proteins, these receptors bind pyranosides by accessing multivalent and cooperative interactions, and these studies suggest a new approach towards biomimetic synthetic carbohydrate receptors, where conformational flexibility and promiscuity are incorporated into design.

This paper describes the modeling and controlling of longitudinal vehicle model. State space averaging is used to get the nominal model of vehicle, while bond graph methodology is adopted to model the actuator dynamics of the vehicle. Robust control theory is applied to modify the nominal model to standard format used for parametric and multiplicative input uncertainties. H∞ control technique is adopted to control the states of the model in the presence of uncertainties and disturbance. Concept of servo mechanism is used to check velocity-tracking performance, while μ analysis is performed on the controlled model to check the robust stability and robust performance of the model.

This paper describes a modeling and controlling of autonomous cruise control of autonomous car using bond graph modeling. We developed model using bond graph formulation by incorporating actuator dynamics and finally state space representation. We later subjected this model to robust control theory to modify the nominal model to standard format used for parametric uncertainty. We finally synthesized using LQR and H2 control technique and compared the results of a feedback system