Soft Parameters Research Articles

Haglund's Syndrome

Background: Haglund's syndrome an important cause of posterior heel pain presents with a prominent bony contour, a retrocalcaneal bursitis or achillis tendinitis these can also occur in isolation hence for the diagnosis of etiology of Haglund's disease certain radiological parameters and soft tissue parameters have been created to evaluate the anatomical variations which will assist in its exact diagnosis. Study aims to distinguish between the bony and soft tissue causes of Haglund's disease radiologically. Methodology: After Institutional ethical committee clearance an observational cross-sectional study was conducted with subjects coming to radiology OPD for X-ray foot with complains of posterior heel pain fulfilling inclusion and exclusion criteria were examined for X-ray lateral view of foot. Parameters like calcaneal inclination angle (CIA), Fowler Philip angle (FPA), parallel pitch line (PPL), Steffenson & Evenson angle (SEA) measured, posterior/calcaneal spur and posterior calcaneal step were noted. The data obtained was analyzed for mean, Standard deviation, sensitivity % and false negative %. Result: Sensitivity of the parameters were analyzed to find CIA, SEA &PPL to be 63.3%, 55% and 55% sensitive respectively. CIA could be assigned most sensitive but regarding soft tissue parameters none were sensitive. Conclusion: CIA, SEA & PPL were found to be sensitive among bony parameters. But none of the soft tissue parameters were sensitive radiologically highlighting a need for its correlation with clinical symptom in peripheral health centers where MRI is not available. Sensitivity of bony and soft tissue parameters were analyzed to find CIA, SEA & PPL to be sensitive. CIA could be assigned most sensitive among bony parameter but with regards to soft tissue parameters none were sensitive.

Deep Learning Based Fusion Model for Multivariate LTE Traffic Forecasting and Optimized Radio Parameter Estimation

With the evaluation of cellular network internet data traffic, forecasting and understanding traffic patterns become the critical objectives for managing the network-designed Quality of Service (QoS) benchmark. For this purpose, cellular network planners often use different methodologies for predicting data traffic. However, traditional traffic forecasting approaches are erroneous. As well as most of the time, traditional traffic forecasts are high-level or a generously large regional cluster level. Also, eNodeB-level utilization concerning with traffic forecasting is not readily available. As a result, user experience degradation or unnecessary network expansion is triggered based on the traditional method. This research focuses on extensive 6.2 million real network time series Long-Term Evolution (LTE) data traffic and other associate parameters, including eNodeB-wise Physical Resource Block (PRB) utilization, which mainly focuses on building a traffic forecasting model with the help of multivariate feature inputs and deep learning algorithms. A state-of-the-art Deep Learning algorithm-based fusion model is proposed. The combination of different deep learning algorithms, namely Long Short-Term Memory (LSTM), Bidirectional LSTM (BiLSTM) and Gated Recurrent Unit (GRU), enables traffic forecasting at a granular eNodeB-level and also provides eNodeB-wise forecasted PRB utilization. In this research <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$R^{2}$ </tex-math></inline-formula> score value for the proposed fusion model is 0.8034, which outperforms traditional models. Apart from the PRB utilization, QoS threshold was devised as 70% from a real network experience to trigger soft parameter tuning decisions. Based on the forecasted PRB utilization, this research proposed a unique algorithm that estimates eNodeB-level soft capacity parameter optimization for a short-term step-up solution or long-term network expansion to ensure a guaranteed QoS benchmark.

The effect of ball versus locator attachment system on the performance of implant supported overdenture: A systematic review.

This systematic review was aimed to compare ball and locator attachment system on the basis of clinical and biomechanical performance of implant supported overdenture as well as biological and patient related outcomes. Open and free electronic and manual searches were performed in digital databases including MEDLINE via PubMed, the Cochrane Database of Clinical Trials, and Scopus along with some other reliable sources. From the 667 retrieved records, 11 full-text controlled trials were included in this study. Risk of bias was assessed according to RoB 2.0 except for one RCT (economic evaluation), only assessed by CASP checklist. From the 11 retrieved studies, total 183 locator and 219 ball attachments were identified in 452 subjects of 30yrs-95yrs of age. Studies provided data about prosthodontic complications or maintenance (replacement or the activation of matrix and patrix part, loss of retention, fracture and relining of the prosthesis, fracture of the attachment and the survival probability), oral health impact profile, soft tissue parameters and periodontal complications, marginal bone loss, patient related outcome and cost of the attachment systems. Only 5 studies were assessed at low risk bias, while other 6at moderate to high risk of bias. Locator attachment system show lesser complications including loss of retention and lower maintenance appointments, lesser soft tissue, and periodontal complications than the ball attachment. Ball is better in terms of cost effectiveness. In other related outcomes, no significant differences were noted between ball and locator attachment.

考虑土应变软化和率效应的桶形基础上拔模拟

It is of great significance to study the uplift bearing characteristics of suction caisson foundations for the safe service performance of offshore tension leg platform (TLP) and multi-leg wind turbine. Based on the secondary development of ABAQUS, a numerical model of suction caisson foundations considering strain softening and rate effect of soft clay is established. The numerical results are compared with the theoretical and experimental results to verify the reliability of the numerical model. The simulation results show that the change of soft clay strain softening parameters has less than five percent influence on the peak of uplift load, while the rate effect has obvious influence on the peak of uplift load and the difference caused by the change of rate effect parameters is more than forty percent. The peak of uplift load increases linearly withthe caisson outer wall roughness, and the effect of strain softening and rate effect on the uplift load caused by the caisson outer wall roughness can be ignored. For the caisson groups foundation, the caisson group effect becomes obvious with the decrease of caisson spacing, and the bearing capacity can be reduced by up to ten percent. When the caissons spacing is more than one and a half times of the caisson diameter, the caisson groups effect can be ignored.

Multi-terrains assistive force parameter optimization method for soft exoskeleton.

Due to the complexity of terrain in natural environments, the soft exoskeleton cannot adaptively adjust parameters to achieve the optimal performance. To this end, a design for a soft exoskeleton assistive force parameter optimization method on multi-terrains is presented in this paper. Firstly, the core control parameters are determined by analyzing the system's motion dynamics. Then, the collected data from inertial measurement unit (IMU) is transferred to the convolutional neural network (CNN) to recognize the certain terrain. In the meanwhile, the control parameters corresponding to the different terrains are optimized by the Bayesian algorithm. Finally, the optimal assistive force parameters are transferred to the system for improving the performance of the soft exoskeleton. The experiment is conducted on three participants, wherein the net metabolic rates of the subjects are compared with and without the assistive force. The final results show that the metabolic rates of the subjects reduce the average value of 19.6% on flat ground, 11.6% on walking uphill, and 12.7% on walking upstairs. The experimental results confirm the effectiveness of the proposed method.

English teaching resources recommendation based on improved Ant colony optimization algorithms

To achieve the goal of exploiting all the advantages and avoiding the disadvantages, this paper presents a genetic algorithm-based development to integrate the spider colony algorithm for teaching optimization of English data recommendation methods. This algorithm first takes advantage of the genetic algorithm to extract the pheromone required by the ant colony algorithm, and then obtains a good solution through the fast and comprehensive integration mechanism of the global optimization of the ant colony algorithm. Therefore, combining the two algorithms can increase the processing time and efficiency. According to the experimental results, compared to using the genetic algorithm or the ant colony algorithm, the violation of the soft parameters of the training data based on the genetic ant hybrid algorithm is reduced to a minimum, and the feasibility and quality of the training data are good. alone. The power of our algorithm is directly proportional to the number of assignments. The security of the algorithm seems to be stable when the number of scales reaches one. For the same scale, the power of the hybrid genetic colony algorithm is the highest, the ant colony algorithm is the second, and the genetic algorithm is the last. When the class setting is 500, when the motor reaches 300, the algorithm stops working and the test is repeated 10 times. The genetic ant colony hybrid algorithm needs the shortest time to reach the fitness value. Conclusion: this algorithm is much better than genetic algorithm or spider colony algorithm.

AC-MMOE: A Multi-gate Mixture-of-experts Model Based on Attention and Convolution

Multi-task learning (MTL), an important branch of machine learning, has been successfully applied to many fields, and its effectiveness in practice has been proved. However, at present, the soft parameter sharing model represented by multi-gate mixtureof-experts (MMOE) still has some disadvantages, including negative transfer, seesaw phenomenon, and inadequate utilization of shared information. Although the existing research has improved these issues, they also bring some new problems, such as high model complexity and difficulty in hyperparameter tuning. To address these issues, we propose a multi-gate mixture-of-experts model base on attention and convolution (AC-MMOE), which incorporates a multi-layer perception based attention module and a column convolution module. AC-MMOE applies attention to achieve feature extraction and convolution to integrate the output of shared substructures, which improves the feature extraction ability and information fusion ability of the model without significantly increasing the model training cost. We validate the performance of AC-MMOE on several MTL datasets, the experimental results show that our model achieves better results than other baselines on various datasets with different task correlations.

Machine Learning Analysis of the Anatomical Parameters of the Upper Airway Morphology: A Retrospective Study from Cone-Beam CT Examinations in a French Population.

The objective of this study is to assess, using cone-beam CT (CBCT) examinations, the correlation between hard and soft anatomical parameters and their impact on the characteristics of the upper airway using symbolic regression as a machine learning strategy. Methods: On each CBCT, the upper airway was segmented, and 24 anatomical landmarks were positioned to obtain six angles and 19 distances. Some anatomical landmarks were related to soft tissues and others were related to hard tissues. To explore which variables were the most influential to explain the morphology of the upper airway, principal component and symbolic regression analyses were conducted. Results: In total, 60 CBCT were analyzed from subjects with a mean age of 39.5 ± 13.5 years. The intra-observer reproducibility for each variable was between good and excellent. The horizontal soft palate measure mostly contributed to the reduction of the airway volume and minimal section area with a variable importance of around 50%. The tongue and the position of the hyoid bone were also linked to the upper airway morphology. For hard anatomical structures, the anteroposterior position of the mandible and the maxilla had some influence. Conclusions: Although the volume of the airway is not accessible on all CBCT scans performed by dental practitioners, this study demonstrates that a small number of anatomical elements may be markers of the reduction of the upper airway with, potentially, an increased risk of obstructive sleep apnea. This could help the dentist refer the patient to a suitable physician.

Go Micro Aesthetics: A Cross-Sectional Study to Assess Anterior Hard and Soft Tissue Parameters in Young Adults of Bhopal City.

Background In the maxillary aesthetic zone, the symmetry and proportions of hard and soft dental tissue play a crucial role. A dental practitioner should have a thorough knowledge of parameters such as crown length (CL), crown width (CW), zenith point, and gingival angle (GA) to perform teeth restorations. This study aims to assess the anterior hard and soft tissue parameters and determine the crown shape and its correlation with the gingival parameters of young adults' anterior teeth. Methods In the study, 110 patients were assessed and divided into two groups: Group I with 55 females and Group II with 55 males. Using a calibrated vernier caliper, the following parameters were calculated: crown width (CW)/crown length (CL) ratio, gingival angle (GA), distance from the lateral incisor (LI) to the gingival aesthetic line (GAL), interdental papilla height (PH) between the two central incisors (CI), distance between the central incisor (CI) and the lateral incisor (LI), and distance between LI and canine. Results Statistical analysis of data was performed using the independent samples t-test (P<0.05). The mean value of CW, CL, CW/CL ratio, and GA, along with the distance from LIs to GALs and PHs of the anterior teeth, were lower in females than in males. The correlation between the GA and the CW/CL ratio indicated that higher GAs and CW/CL ratios give teeth a square appearance. Moreover, a lower GA and CW/CL ratio will make teeth appear round ornarrow. Conclusion The present study concluded that the mean values of hard and soft dental tissue parameters are higher in males than in females. These values can be used to restore functional aesthetics in accordance with the results of a local population and could help form restorative, aesthetic, and cosmetic procedures while maintaining focus on the size and shape of teeth and the level of gingiva at various significant treatment stages.

Reproductive and morphometric traits of freshwater mussel Lamellidens marginalis and associated hydrology in the Ratargul freshwater Swamp Forest, Bangladesh

A total of 300 freshwater mussels Lamellidens marginaliswere sampled from the Ratargul Freshwater Swamp between December 2020 and November 2021 to investigate the relationships between length, weight, soft tissue wet parameters, sex ratio, condition indices, gonadal histology, and hydrological features of swamp forest habitat. The shell length and shell weight varied between 5.00 and 9.50 cm and 12.26–78.96 g respectively. The length at maturity Lm was recorded as 5.98 cm and the calculated value of χ2 suggested a dominant female stock at the study site (P < 0.05). The relationship between different morphometrics ofLamellidens marginalisand environmental parameters exhibits a very weak regression coefficient value (P < 0.05), suggesting a weak effect of seasonality on the growth metrics. Previtellogenic and vitellogenic oocytes were observed in the ovary, and mature spermatids were found in the testes in samples collected in the rainy season.

Sensitivity and constraints to the 2HDM soft-breaking Z2 parameter m12

In this letter we study the specific sensitivity and constraints to the soft breaking Z2 parameter m12 of the Two Higgs Doublet Model (2HDM). m12 is considered here as an input parameter of the model together with the masses of the Higgs bosons, mh, mH, mA, mH±, the ratio of the two Higgs vacuum expectation values, tan⁡β, and cos⁡(β−α), with α and β the mixing angles of the CP-even and CP-odd Higgs sector, respectively. We explore in particular the sensitivity to m12 in the decays of the lightest Higgs boson h to two photons, assuming: 1) that h is the state observed at the LHC at ∼125GeV, and 2) the h couplings to the SM particles are SM-like, by going to the alignment limit, cos⁡(β−α)=0. The aim of this work is to demonstrate possible constraints on m12 from the present measurement of the di-photon signal strength, μγγ. These constraints are relevant in the region of the 2HDM parameter space that is allowed by all the other constraints, specifically, theoretical constraints as well as experimental constraints from LHC Higgs rate measurements, Higgs boson searches, flavor physics and precision observables. The exploration is performed in the four different Yukawa types of 2HDM, where the allowed region by all the other constraints depends on the model type. We also analyze the case that the Higgs-boson mass spectrum accommodates a possible new world average of mW including the recent CDF measurement.

Association between Peri-Implant Soft Tissue Health and Different Prosthetic Emergence Angles in Esthetic Areas: Digital Evaluation after 3 Years' Function.

The aim of the present retrospective study was to assess peri-implant soft tissue health for implants restored with different prosthetic emergence profile angles. Patients were treated with implants supporting fixed dentures and were followed for 3 years. Buccal emergence angle (EA) measured at 3 years of follow-up visits (t1) were calculated for two different groups: Group 1 (153 implants) for restorations with angle between implant axis and prosthetic emergence angle from ≥30°, and Group 2 (67 implants) for those with angle ≤30°, respectively. Image J software was used for the measurements. Moreover, peri-implant soft tissue parameters such as pocket probing depth (PPD), plaque index (PI) and gingival index (GI) were assessed, respectively. A total of 57 patients were included in the analysis and a total of 220 implants were examined. Mean (±SD) EA in Groups 1 and 2 was 46.4 ± 12.2 and 24.5 ± 4.7 degrees, respectively. After 3 years of follow-up, a PPD difference of 0.062 mm (CI95% -0.041 mm; 0.164 mm) was calculated between the two groups and was not statistically significant (p = 0.238). Similar results were found for PI (OR = 0.78, CI95% 0.31; 1.98, p = 0.599). Furthermore, GI scores of 2 and 3 were found for nine implants (5.9%) in Group 1, and for five implants in Group 2 (7.5%). A non-significant difference (p = 0.76) was found. Peri-implant soft-tissue health does not seem to be influenced by EA itself, when a proper emergence profile is provided for implant-supported reconstructions in anterior areas.

Multi-objective data enhancement for deep learning-based ultrasound analysis

Recently, Deep Learning based automatic generation of treatment recommendation has been attracting much attention. However, medical datasets are usually small, which may lead to over-fitting and inferior performances of deep learning models. In this paper, we propose multi-objective data enhancement method to indirectly scale up the medical data to avoid over-fitting and generate high quantity treatment recommendations. Specifically, we define a main and several auxiliary tasks on the same dataset and train a specific model for each of these tasks to learn different aspects of knowledge in limited data scale. Meanwhile, a Soft Parameter Sharing method is exploited to share learned knowledge among models. By sharing the knowledge learned by auxiliary tasks to the main task, the proposed method can take different semantic distributions into account during the training process of the main task. We collected an ultrasound dataset of thyroid nodules that contains Findings, Impressions and Treatment Recommendations labeled by professional doctors. We conducted various experiments on the dataset to validate the proposed method and justified its better performance than existing methods.

Increasing the speech intelligibility by the use of voice therapy in patients with profound hearing loss

Objective: The purpose of this study is to evaluate changes in the acoustic properties of voice in patients with profound sensorineural hearing loss to determine the effectiveness of voice therapy. Material-Method: Our study consisted of 15 individuals from the 20-25 years of age with bilateral symmetrical hearing loss (Group A), and 15 individuals in the 26-65 age group with post lingual cochlear implants (Group B). The control group (Group C) included 15 adults with the normal hearing range from the age group of 20-30. Prospective analysis methods was utilized for this research. In order to quantitatively measure the psychosocial consequences of voice-related disorders the Voice Handicap Index (VHI) was given, and, to determine the acoustic measures of the voice quality, the /ah/ sound was digitally recorded with the Multidimensional Voice Program (Kay Elemetrics) in all groups. Conclusion: Average Fundamental frequency (F0), jitter percentage (jitter), shimmer, noise-harmonic ratio (NHR), voice turbulence index (VTI), soft phonation index (SPI), PPQ and APQ parameters were analyzed through acoustic sound analysis program. When the data in Group A are compared with Group B, the acoustic parameters show a statistically significant higher value. Discussion: Speech intelligibility increased in individuals with profound hearing loss who received sound therapy and who used cochlear implants. According to the results of the VHI, individuals with cochlear implants benefit from voice therapy.

Fatty infiltration of hip muscles and trochanteric soft tissue thickness are associated with hip fractures in the elderly.

Apart from bone conditions, muscle and soft tissue parameters might also influence hip fractures. We aimed to evaluate the association between hip muscle and trochanteric soft tissue parameters and hip fractures. We retrospectively reviewed 60 patients with hip fractures and 114 controls without hip fractures.Cases and controls were matched for age, sex, and body mass index using propensity score matching. Muscle cross-sectional area (CSA), mean attenuation, and fatty infiltration rate (FIR) (proportion of intramuscular fat content) were measured on CT images for the gluteus maximus, the gluteus medius/minimus, and the anterior and medial compartments of the upper thigh. Trochanteric soft tissue thickness (TSTT) and femoral neck attenuation were also measured. Univariate and multivariate analyses were conducted to identify potential risk factors of hip fractures. Patients with hip fractures had significantly lower femoral neck attenuation, TSTT, and CSA of the gluteus maximus and anterior compartment than controls. FIR of all hip muscle groups were significantly higher in hip fracture patients than controls. Multivariate analysis revealed that every 1% increase in FIR of medial compartment independently increased the odds of hip fractures by 23.7% (OR = 1.237, 95% CI = 1.093-1.401) and every 1cm longer TSTT independently decreased the odds by 32.8% (OR = 0.672, 95% CI = 0.477-0.946). Fatty infiltration of hip muscles can better discriminate hip fractures than muscle area. Increased TSTT is independently associated with low fracture risk.

EVALUATION OF ATTRACTIVE FACIAL PROFILE IN DIFFERENT DENTOFACIAL IRREGULARITIES (ANGLE'S) IN BENGALI POPULATION USING PHOTOGRAPHIC MEASUREMENTS

Introduction: Attractive facial profile is significant to each individual. Nowadays, however, establishing ideal facial esthetics is also a major factor in Orthodontic treatment. Achieving the class l occlusion is not the only benchmark for success, but also the resultant soft tissue contours are often equally important in defining a well- treated case. The study was done to determine the type of malocclusions that is more coherent to facial attractiveness as well as to establish soft tissue profile norms for Bengali population using linear and angular photogrammetric analysis. Materials and Methods: 80 samples of age group ranging from 12 to 25 years were selected from the patient reported in Dr R Ahmed Dental College and Hospital, Department of Orthodontics and Dentofacial Orthopaedics west Bengal. Standard frontal and lateral profile photographs were taken and on each photograph, all the linear and angular measurements were statistically analyzed. Seven linear and six angular soft tissue parameters were calculated. Correlation coefficient was carried out between linear, angular measurements and VAS score of different malocclusion. The following inferences were obtained from the study regarding the linear, angular parameters and VAS score of Bengali population. Results: ANOVA showed that there was significant difference between mean VAS of the four different type of malocclusion. As per post hoc Tukey's test mean VAS of Class-I and Class-II Div2 were significantly higher than other two classes. Conclusion: The finding of the present study showed that during Orthodontic treatment planning for Bengali subjects; it may be useful to use a modified set of norms.

Evaluation of patient satisfaction with pharyngeal airway changes after orthognathic surgery in patients with Class III skeletal anomalies.

The aims of our study were to determine the changes in the pharyngeal airway after treating patients with Class III malocclusion who received double jaw surgery, to determine the hard tissue and soft tissue parameters and the hyoid bone and tongue positions after surgery, to determine the changes to compare the pretreatment and post-treatment measurements of the patients in the double jaw group with the measurements of the control group patients, and to evaluate postoperative patient satisfaction. The study included thirty-two Class III adult patients that received double jaw surgery and twenty-five Class I patients. Cephalometric records were taken before treatment (T1) and after treatment (T2). After double jaw orthognathic surgery, there were statistically significant changes in all pharyngeal airway linear and areal parameters (p<0.001). There were significant superior and posterior movements of the tongue and hyoid bone post-surgery. The post-treatment analysis of the double jaw surgery group and control group were compared, with statistically significant differences in the mandibular dental parameters and pharyngeal airway measurements in patients in the double jaw surgery group. Despite the narrowings detected, high satisfaction scores were observed in the patient satisfaction questionnaire and the patients did not experience respiratory problems.

SOFIA: An automated framework for early soft error assessment, identification, and mitigation

The occurrence of radiation-induced soft errors in electronic computing systems can either affect non-essential system functionalities or violate safety–critical conditions, which might incur life-threatening situations. To reach high safety standard levels, reliability engineers must be able to explore and identify efficient mitigation solutions to reduce the occurrence of soft errors at the initial design cycle. This paper presents SOFIA, a framework that integrates: (i) a set of fault injection techniques that enable bespoke inspections, (ii) machine learning methods to correlate soft error results and system architecture parameters, and (iii) mitigation techniques, including: full and partial triple modular redundancy (TMR) as well as a register allocation technique (RAT), which allocates the critical code (e.g., application’s function, machine learning layer) to a pool of specific processor registers. The proposed framework and novel variations of the RAT are validated through more than 1739k fault injections considering a real Linux kernel, benchmarks from different domains and a multi-core Arm processor.

Prospective Comparison of Facial Soft Tissue Changes Using 2D Photographs and 3D Scanning After En Masse Dentoalveolar Maxillary Distalization Using Tads

Introduction: This prospective clinical study was undertaken to analyse the three-dimensional facial soft tissue changes after en-masse maxillary distalization using 3D structured light-based scanner and facial photographs and to compare the two diagnostic aids. Materials and Method: 12 Indian adult patients of 17- 23 years of age with unilateral or bilateral class II molar relationship and those indicated for en-masse distalization. A pre-operative and post-operative extra oral 3D scan and 2D photographs were obtained for each subject. A prospective comparative evaluation of 10 lateral and 20 frontal soft tissue parameters was done. Result: When pre to post comparison was made in different study parameters using paired t test, none of the study parameter showed significant difference. Conclusion: The laser facial scanning can be considered as a useful and reliable tool to analyze the circumoral region for orthodontic and orthognathic surgical diagnosis and treatment planning. The difference in facial soft tissue changes evaluated using 3D scans and 2D photographs was also not statistically significant.

Associated production of heavy Higgs bosons with a mathrm{b}overline{mathrm{b}} pair in the nonholomorphic MSSM and LHC searches

In the NonHolomorphic Supersymmetric Standard Model (NHSSM), the Yukawa couplings of the bottom quark (yb) and the tau lepton (yτ) might receive substantial supersymmetric (SUSY) radiative corrections which have prominent dependencies on the NHSSM-specific trilinear soft parameters, {A}_b^{prime } and {A}_{tau}^{prime } , respectively, in addition to their well-known dependence on tan β as is already present in the Minimal SUSY Standard Model (MSSM). We study to what extent these could affect the production cross sections of the heavy Higgs bosons (H and A) in association with a pair of b-quarks and their decay branching ratios, in particular, to a tau overline{tau} pair and compare them with those obtained in the MSSM. Requiring compliance with the recently observed upper bounds on the product of their total cross section and the branching ratio to tau overline{tau} at the 13 TeV run of the Large Hadron Collider (LHC), with data worth 139 fb−1, results in an altered exclusion region in the customary mA− tan β plane in the framework of the NHSSM when compared to what is derived by the LHC experiments within an MSSM setup. Such alterations are estimated to be pronounced only for large tan β (≥ 40) and for large, negative {A}_b^{prime } when one finds a reinforced exclusion of the mA − tan β plane with an excluded mA value larger by ≈ 200 GeV, compared to the MSSM case, at tan β = 60. On the other hand, the maximum relaxation in mA, for a similarly large but positive {A}_b^{prime } , barely exceeds ≈ 100 GeV as a result of complementary variations in production cross sections and decay branching fractions of the heavy, neutral Higgs bosons.