Miracle-dz/UniFAR-FTUs huggingface dataset:
Redefined “Maclaurin Symmetric Mean Aggregation Operators Based on Cubic Pythagorean Linguistic Fuzzy Numbers”

In this study, we highlight the errors in Sections 2.3, 2.4, 3, and 4 in the article by Fahmi et al. (J Ambient Intell Human Comput (2020). https://doi.org/10.1007/s12652-020-02272-9) by counter definitions and theorems. We find that the definition of cubic Pythagorean fuzzy set (CPFS) (Definition 2.3.1) and operational laws (Definition 2.3.2) violates the rules to consider the membership and nonmembership functions, and then, we redefined the corrected definition and their operations for CPFS. Furthermore, we redefine the concept of cubic Pythagorean linguistic fuzzy set (CPLFS) and their basic operational laws. In addition, we find that Sections 3 and 4 (consist of a list of Maclaurin symmetric mean (MSM) and dual MSM aggregation operators) are invalid, and then, we redefined the list of updated MSM and dual MSM aggregation operators in correct way. Finally, we established the numerical application of the proposed improved algorithm using cubic Pythagorean linguistic fuzzy information to show the applicability and effectiveness of the proposed technique.
Data-driven and Physics-informed Muscle Model Surrogates for Cardiac Cycle Simulations

Health professionals can utilize biomechanical simulations of left ventricle to assess different possible situations and hypothetical scenarios. Understanding of the molecular mechanisms behind muscle contraction has resulted in the development of Huxley-like muscle models. Unlike Hill-type muscle models, Huxley-type muscle models can be used to simulate non-uniform and unstable contractions. However, Huxley models demand considerably more computational resources than Hill models, which limits their practical use in large-scale simulations. To address this, we have developed a data-driven and physics-informed surrogate models that mimic the Huxley muscle model, while requiring significantly less processing power. We collected data from various numerical simulations and trained deep neural networks to replace Huxley’s muscle model. Data-driven surrogate model was an order of magnitude faster than the original model, while being quite accurate. Our surrogate models were integrated into a finite element solver and used to simulate a complete cardiac cycle, which would be much harder to do with original Huxley’s model.
Comparison of Effects of Decline Squat and Forward Lunges in the Treatment of Chronic Patellar Tendinopathy. A Research Protocol

Background: One of the two most common tendinopathies of the lower limb is Patellar Tendinopathy (PT). An exercise programmer consisting of a unilateral squat concentric eccentric training of the patellar tendon on a 25o decline board has been recommended for the management of PT. In addition, slow progressive eccentric concentric loading of quadriceps using forward step lunge (FSL) with the anterior knee motion going in front of the toes (FT) is also recommended for the management of PT. The purpose of the present article will be to make a comparison of the effects of an unilateral squat concentric eccentric training of the patellar tendon on a 25o decline board and an exercise programmer consisting of FSL-FT for the treatment of Chronic PT (CPT). Methods/Design: CPT patients will participate in this randomized clinical trial (RCT). Patients will be allocated to two groups randomly. Group A will be treated with unilateral squat concentric eccentric training of the patellar tendon on a 25o decline board and group B will be treated with FSL-FT. All patients will receive 30 treatments totally (5 treatments/week for 6 weeks). Pain (VISA -P), function (VISA-P) and drop out will be evaluated at the end of treatment, at 3 months follow-up and at 6 months follow up. The independent t test will be used to determine the differences between groups. A paired t test will be used to determine the difference within groups. The level for statistical significance will be 5% level of probability. SPSS 21.00 will be used for the statistical analysis. Discussion: The present RCT will be evaluate the effectiveness of an unilateral squat concentric eccentric training of the patellar tendon on a 25o decline board and an exercise programmer consisting of FSL-FT for the treatment of CPT.
CLASP: Constrained Latent Shape Projection for Refining Object Shape from Robot Contact

Robots need both visual and contact sensing to effectively estimate the state of their environment. Camera RGBD data provides rich information of the objects surrounding the robot, and shape priors can help correct noise and fill in gaps and occluded regions. However, when the robot senses unexpected contact, the estimate should be updated to explain the contact. To address this need, we propose CLASP: Constrained Latent Shape Projection. This approach consists of a shape completion network that generates a prior from RGBD data and a procedure to generate shapes consistent with both the network prior and robot contact observations. We find CLASP consistently decreases the Chamfer Distance between the predicted and ground truth scenes, while other approaches do not benefit from contact information.
Receptors of Chondroitin Sulfate Proteoglycans and CNS Repair

Axon disconnections in the CNS usually cause persistent dysfunction with a very limited recovery and the medical treatments to enhance recovery from neurological deficits due to signal conduction failure are largely restricted. Among numerous factors that contribute to regenerative failure of CNS axons, the extracellular matrix molecules Chondroitin Sulfate Proteoglycans (CSPGs) generated by scar tissues are critical for blocking axon elongation following CNS injuries. Overcoming inhibition by CSPG axon growth inhibitors is very important for promoting successful axon regeneration and functional recovery after CNS injuries. Recent progress in understanding of molecular mechanisms underlying CSPG suppression of neuronal growth may facilitate development of new treatments to surmount scarmediated inhibition. Particularly, a number of studies demonstrate that CSPG inhibitors convey their suppression of axon growth by interacting with several neuronal transmembrane receptors. Two members of the Leukocyte Common Antigen Related (LAR) phosphatase subfamily, protein tyrosine phosphatase σ and LAR, bind CSPGs with high affinity and mediate CSPG inhibition as functional receptors. CSPGs appear also to bind two receptors for myelin-associated growth inhibitors, Nogo receptors 1 and 3. Transgenic or pharmacological blockade of these receptors significantly surmounts CSPG function and promotes CNS axon regeneration. Identification of the CSPG receptors is likely to facilitate developing novel and selective therapies to promote axon sprouting/regeneration and functional recovery after CNS injuries.
Phenotypic characterization of antimicrobial drug resistance of Staphylococcus aureus and S. epidermidis strains isolated from various community infections in Oum El Bouaghi city, Algeria

Abstract. Rahmani A, Meradi L, Malawi K, Khanfouf F. 2021. Phenotypic characterization of antimicrobial drug resistance of Staphylococcus aureus and S. epidermidis strains isolated from various community infections in Oum El Bouaghi city, Algeria. Biodiversitas 22: 2665-2671. In Algeria most community infections caused by Staphylococcus epidermidis and Staphylococcus aureus present resistance to several antibiotics and induce therapeutic failures. The aim of this study is the characterization and the comparison of antimicrobial resistance of Staphylococcus strains isolated from community infection in Oum El Bouaghi city, Algeria. Species identification was realized by conventional biochemical tests and the determination of antibiotics susceptibility pattern was realized by using the agar disk diffusion method, according to the recommendations of the French Society for Microbiology (FSM, 2019). A total of 102 Staphylococci strains were obtained from clinical samples, with a frequency of isolation of 57,8% for S. epidermidis and 42,2% for S. aureus, both strains present a resistance for most used antibiotics, the higher resistance was found for oxacillin in both strains with 25,6% for S. aureus and 42,4% for S. epidermidis. Multidrug-Resistance (MDR) phenotype was detected in 37,3% of S. epidermidis and 14% in S. aureus strains. In Algeria, new control policies should be adopted to prevent the further spread of antimicrobial-resistant strains, especially in the community
INTEGRATING A PARTICIPATORY DESIGN APPROACH: DEVELOPING HESTIA WITH MULTIDISCIPLINARY PERSPECTIVES

Mobile apps are adopted and integrated into practice by service providers working with adults who have disabilities that desire to age-in-place. Service providers are interested in using mobile apps for various reasons including storing reference information, supporting measurements, facilitating reasoning processes, and easing the burden of documentation (Burns & Pickens, 2016). However, app development occurs substantially faster than our vetting processes, compromising app quality and security (Cummings et al., 2013; Shen et al., 2015). Further, many apps available in various marketplaces are not used by anticipated end-users (Dye, 2016) which may be attributed to the lack of consideration of end-user wants and needs (Doebbeling, Chou, Tierney, 2006). We developed a rigorous model for app development that employs multidisciplinary participatory design at multiple levels. We describe our model and processes employed during content and design development of HESTIA, an app to support home assessment and modification practice.
Incremental Research on Cyber Security metrics in Android applications by implementing the ML algorithms in Malware Classification and Detection

Cyber attacks are prevailing to be a great headache for the technical advancements especially when dealt with mobile usage in an android application environment. For a new user, it is difficult to identify the set of harmful permissions. This could be an advantage for malware intruders to access the data or infect the mobile device by introducing malware applications. Thus the face of Cybersecurity has changed in recent times with the advent of new technologies such as the Cloud, the internet of things, mobile/wireless, and wearable technology. The technological advances in data science which help develop contemporary cybersecurity solutions are storage, computing, and behavior. In this paper, the possible investigations are done on the cyber attacks in android by adopting the various malware classification and detection techniques. Various Classifications and Detections are done on various malware prevailing in the android applications.
Comparison Of Glycemic Behavior Between Strength Training, High Intensity Resistance Training (Hirt), High Intensity Interval Training (Hiit): A Case Study

Type 2 Diabetes Mellitus (DM 2) is generally a defect in insulin action and secretion and in the regulation of hepatic glucose production. Exercise to treat type 2 diabetes has had positive impacts on the lives of diabetics. The aim of this study is to analyze the effects of the glycemic curve in three different types of training: Strength Training (TF), High Intensity Resistance Training (HIRT) and Interval High Intensity Training (HIIT). The participantis a 57year-old, sedentary type 2 diabetic who under went the training method - Strength Training (ST) 60% of repetition maximum (RM), 8 to 12 repetitions, cadence 2010, the 2-minute restinterval. High Intensity Resistance Training (HIRT)protocol consisted of three sets with six repetitions at 80% of 1RM followed by rest for 20 seconds, the individual performs another series with the same load until reaching the point of failure again. The rest of one exercises and another is 2’30” , and High IntensityInterval Training (HIIT) a 5-minute warm-upmoderateload – 4 shots of 30 secondsof high intensity duration separated by 4 minutes of rest, once a week at night. Pre-study anamnesis, pre- and post-exercise glycemia were performed.The overall results were satisfactory presenting HIIT as the most effective method for acute post-exercise blood glucose reduction (reducing 29.62%, 34.25%, 38.89 and 36.11% immediatelyat 10, 20, 30 minutes afterexertionrespectively). It was concluded that physical training positively influenced the reduction of blood glucose as an acute effect, but HIIT was the most effective method.
Will Entry Inhibitors Offer New Hope for COVID-19 Patients ?

First, communicating through the journals with medical professionals is crucial. The first challenge I encountered when studying coronaviruses is a language barrier! Some of the literature is not translated from Chinese. Surely our experts can assemble a translation team to translate articles originating in China, so that English-speakers can be better informed on any information gleaned about COVID-19 in China.
REVIEW OF SECURED ROUTING FOR WIRELESS AD HOC NETWORK

An ad hoc Network provides a infrastructure less communication over a shared Wireless Channel and operates without the use of existing network in which all mobile nodes can communicate with a centralized structure. This becomes the main reason, for this technology to be more vulnerable to security attack and security threats. Such attack includes passive eavesdropping over the wireless channel, denial of service attacks by malicious nodes and attack from promised node or stolen devices. In this paper, we present review on the security issues of existing routing protocols in an ad hoc network environment and try to identify some source of threats to routing protocols. Aim is to make existing environment more secure from all type of security threats and some of vulnerable attacks. This study will help to Ad hoc networks researchers for developing secured routing.
The Effect of Exercising on the Decrease Back Pain: A Systematic Review

The aim of this study was to determine the impact of exercising on the back pain. Tools used for the literature review are electronic databases: Google Scholar, PubMed, Medline, Mendeley, for the time period from 2010 to 2019. After the selection of papers regarding the criteria, 20 studies that suit the needs of this systematic review were selected. Therapeutic training for relieving back pain is very heterogeneous, a total of 12 different therapeutic exercise programs were conducted. The most used programs are pilates and conventional (traditional) program for relieving back pain, followed by stabilization exercises, as well as other methods, such as: sling method, motor control exercises, stretching exercises, segment stabilization, as well as combined programs. Based on the analysis of the research conducted so far, it has been determined that exercising has positive impact in decreasing pain intensity and the level of disability, on the increase of the maximum strength, durability and trunk flexibility, as well as on the improvement of the overall health related functionality of patients with back pain. It has been concluded that program of exercises has a multiple positive impact on the health of patients with the chronical back pain and that exercising to these patients is, therefore, recommended.
Resolving temperature limitation on spring productivity in an evergreen conifer forest using a model-data fusion framework

Abstract. The flow of carbon through terrestrial ecosystems and the response to climate is a critical but highly uncertain process in the global carbon cycle. However, with a rapidly expanding array of in situ and satellite data, there is an opportunity to improve our mechanistic understanding of the carbon (C) cycle’s response to land use and climate change. Uncertainty in temperature limitation on productivity pose a significant challenge to predicting the response of ecosystem carbon fluxes to a changing climate. Here we diagnose and quantitatively resolve environmental limitations on growing season onset of gross primary production (GPP) using nearly two decades of meteorological and C flux data (2000–2018) at a subalpine evergreen forest in Colorado USA. We implement the CARDAMOM model-data fusion network to resolve the temperature sensitivity of spring GPP. To capture a GPP temperature limitation – a critical component of integrated sensitivity of GPP to temperature – we introduced a cold temperature scaling function in CARDAMOM to regulate photosynthetic productivity. We found that GPP was gradually inhibited at temperature below 6.0 °C (±2.6 °C) and completely inhibited below −7.1 °C (±1.1 °C). The addition of this scaling factor improved the model’s ability to replicate spring GPP at interannual and decadal time scales (r = 0.88), relative to the nominal CARDAMOM configuration (r = 0.47), and improved spring GPP model predictability outside of the data assimilation training period (r = 0.88) . While cold temperature limitation has an important influence on spring GPP, it does not have a significant impact on integrated growing season GPP, revealing that other environmental controls, such as precipitation, play a more important role in annual productivity. This study highlights growing season onset temperature as a key limiting factor for spring growth in winter-dormant evergreen forests, which is critical in understanding future responses to climate change.
ATP-triggered mitochondrial cascade reactions for cancer therapy with nanoscale zeolitic imidazole framework-90

Goals: Chemotherapy, the most conventional modality for cancer therapy, usually brings serious side effects because of the low cancer-therapeutic specificity and bioavailability. It is of great significance for cancer treatment to develop new effective strategies to regulate biochemical reactions in organelles, enhance the specificity of chemotherapeutic drugs and reduce their side effects. Methods: We report herein a zeolitic imidazole framework-90 (ZIF-90) based nanoplatform, which was used to initiate a series of mitochondrial cascade reactions using ATP as a molecular switch for cancer therapy. The thioketal linked camptothecin (camptothecin prodrug, TK-CPT) and 2-Methoxyestradiol (2-ME) were encapsulated into the pores of ZIF-90 nanoparticles using a simple one-pot method, and the nanoplatform was finally coated with a layer of homologous cell membrane. Results: Mitochondrial ATP can efficiently degrade ZIF-90 and then release the loaded 2-ME and CPT prodrugs. 2-ME can inhibit the activity of superoxide dismutase (SOD), which induces the up-regulation of reactive oxygen species (ROS) in situ. The thioketal linkers in CPT prodrug can respond to ROS, thereby achieving subsequent release of parent CPT drug. This cascade of reactions can lead to prolonged high oxidative stress and cause continuous cancer cell apoptosis, due to the increased ROS level and the liberation of CPT. Conclusion: We constructed an ATP-triggered strategy using nanoscale ZIF-90 to initiate mitochondrial cascade reactions for cancer therapy. The ZIF-90 based nanoplatform exhibited low cytotoxicity, good mitochondria-targeting ability, and excellent therapeutic effect. In vivo experiments demonstrated that the growth of tumor can be efficiently inhibited in a mouse model. This ATP-triggered strategy to induce mitochondrial biochemical reactions offers more possibilities for developing organelle-targeted therapeutic platforms.
An Enhanced Novel GA-based Malware Detection in End Systems Using Structured and Unstructured Data by Comparing Support Vector Machine and Neural Network

Aim: The aim of the work is to perform android malware detection using Structured and Unstructured data by comparing Neural Network algorithms and SVM. Materials and Methods: consider two groups such as Support Vector Machine and Neural Network. For each algorithm take N=10 samples from the dataset collected and perform two iterations on each algorithm to identify the Malware Detection. Result: The accuracy results of the Neural Network model has potential up to (82.91%) and the Support Vector Machine algorithm has an accuracy of (79.67%) for Android malware detection with the significance value of (p=0.007). Conclusion: classification of android malware detection using Neural Network algorithm shows better accuracy than SVM.
Sensitivity-based Parameter Extraction of 3D Transient Magnetic Problems

URING the last decades, many circuit parameter extraction methods have emerged. In general, there is no closed-form technique to accurately derive the equivalent circuit parameters due to various factors, including the effects of material nonlinearity and eddy currents. Thus, three main techniques have been defined for this purpose: (i) the first uses the flux linkage and current flowing through the winding in order to derive the coil inductance [1], (ii) the second uses energy/current perturbation [2], and (iii) the third is based on sensitivity analysis [3]. On the contrary to the former two techniques, the advantage of the latter is its ability to drive both dynamic resistances and inductances for each winding. The sensitivity analysis was successfully applied in 2D problems to extract both the dynamic and resistance matrices [3]. In this paper, we extend this work to 3D problems and evaluate the accuracy of the sensitivity-based technique compared to analytical and experimental of three distinct examples: a coaxial cable, a parallel wire pair and a two-pole electrical machine.
THE ROLE OF SERUM IONS DEFICIENCIES IN THE PATHOGENIC MECHANISMS OF ONCOLOGICAL DEPRESSION – PSYCHO-PHARMACOLOGICAL PARTICULARITIES

Cancer patients frequently present symptoms of depression and anxiety that influence the quality of life, compliance and adherence to treatment, disease progression and the overall survival. Psychiatric pathology could be related to the disturbance of serum ion levels, caused by the oncological or psychiatric status and the adverse effects of pharmacological treatment. This article is focused on assessing the relationship between anxiety, depression and stress and serum ion levels. Changes in the homeostasis of serum ions and pH may be factors that favour the risk of oncogenesis in the context of this psychiatric pathology. Knowledge of the involvement of serum ions in specific pathogenic mechanisms suggests the importance of monitoring them in oncological pathology with depression and helps to develop personalized psychopharmacological strategies.
Evaluation of urinary NGAL level in children with congenital heart disease as a possible early indicator of nephropathy

Introduction: Nephropathy as a consequence of congenital heart disease (CHD), especially cyanotic heart disease, has been detected since past decades. However, lack of a diagnostic method at early stages of the disease, caused patients referring when nephropathy is established and also complicated with severe proteinuria and renal failure. Urinary neutrophil gelatinase-associated lipocalin (NGAL) is known as one of the newest biomarkers for early detection of renal parenchymal damage. In this study, we attempted to evaluate the role of urinary NGAL level in early detection of nephropathy in pediatrics with CHD. Objectives: The aim of this study was to evaluate urinary NGAL as a potential biomarker for the early detection of renal involvement in children with CHD. Patients and Methods: In this case–control study, urinary NGAL levels of 42 children with CHD (case group) and 42 healthy children (control group) with the matched ages were measured. Afterward, we compared mean urinary NGAL levels between these two groups to find a possible significant difference. Results: In this study, mean urinary NGAL level in patients with CHD and healthy children was 3.83 μg/mL and 1.87 μg/mL, respectively. Although the mean urine NGAL level was higher in children with CHD compared to healthy children, this difference was not statistically significant. Conclusion: in this study, it can be concluded that, urinary NGAL level cannot be used as an early diagnostic test of nephropathy in children with CHD.