Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effects of Resistin Gene Polymorphism on Pain Thresholds and Postoperative Sufentanil Consumption in Gastric Cancer Patients

Purpose As an adipocyte-secreted hormone, resistin is linked to inflammation, insulin resistance and atherosclerosis. Currently, resistin is proposed as a novel biomarker for postoperative pain intensity. However, due to the various types of surgery and limited numbers of studies, previous conclusions should be validated. This study aimed to explore the effect of resistin polymorphism (rs3745367) on pain thresholds and sufentanil consumption in gastric cancer patients. Patients and Methods A total of 148 gastric cancer patients enrolled in this study had their pain thresholds measured before surgery. After the exclusion of 16 patients, the characteristics of demography and clinic, numerical rating scale (NRS) and sufentanil consumption of 132 patients were recorded. Rs3745367 of resistin was identified by Sanger sequencing. Multivariate linear regression analysis was performed for sufentanil consumption and mechanical pain threshold. Results The distributions of the GG, AG, and AA genotypes of rs3745367 among the participants were 54 (40.9%), 65 (49.2%), and 13 (9.9%), respectively. The mechanical pain threshold (P=0.04) and postoperative sufentanil consumption in the 1st 24 h (P=0.03) were significantly different among GG, AG, and AA genotype carriers. There was no significant difference among the three genotypes for the heat pain threshold and cold pain threshold. Regarding the NRS, no statistically significant difference among the three different genotypes was found 24 h postoperatively. Conclusion Rs3745367 of resistin is associated with the mechanical pain threshold and postoperative sufentanil consumption in gastric cancer patients. Patients with the AA genotype of rs3745367 present an increased mechanical pain threshold and decreased postoperative sufentanil consumption.
Ultraviolet observations of galaxies in nearby clusters. I. Star formation rate in spiral galaxies of Abell 1367.

Les observations UV d'un echantillon de 27 galaxies spirales membres de l'amas A 1367 sont presentees. Les taux de formation stellaire, estimes a partir des flux UV, et les densites surperficielles H I de ces galaxies sont compares a ceux des galaxies de champ.
Dexmedetomidine alleviates anxiety-like behavior in mice following peripheral nerve injury by reducing thehyperactivity of glutamatergic neurons in the anterior cingulate cortex.

BACKGROUND Treatment of chronic pain is challenged by concurrent anxiety symptoms. Dexmedetomidine is known to produce sedation, analgesia, and anxiolysis. However, the neural mechanism of dexmedetomidine-elicited anxiolysis remains elusive. Here, we aimed to test the hypothesis that the anterior cingulate cortex might be involved in dexmedetomidine-induced anxiolysis in pain. METHODS A common peroneal nerve ligation mouse model was used to test the dexmedetomidine-induced analgesia and anxiolysis by assessing mechanical allodynia, open-field, light-dark transition, and acoustic startle reflex tests. In vivo calcium signal fiber photometry and ex vivo whole-cell patch-clamp recordings were used to measure the excitability of glutamatergic neurons in anterior cingulate cortex. Modulation of glutamatergic neurons was performed by chemogenetic inhibition or activation via viral injection. RESULTS Compared with vehicle, dexmedetomidine (4 µg/kg) alleviated mechanical allodynia (P < 0.001) and anxiety-like behaviors (P < 0.001). The glutamatergic neurons' excitability after dexmedetomidine administration was lower than that of the vehicle group (P = 0.001). Anxiety-like behaviors were rescued by inhibiting glutamatergic neurons in the model mice. Nociception-related anxiety-like behavior was induced by activation of glutamatergic neurons, which was rescued by dexmedetomidine. CONCLUSIONS The reduction in glutamatergic neuronal activity in anterior cingulate cortex may be involved in dexmedetomidine-elicited anxiolysis in chronic pain.
Clinical characteristics and outcomes in pulmonary manifestations of systemic sclerosis: Contribution from pulmonary hypertension and interstitial lung disease severity

Abstract Patients with systemic sclerosis complicated by both pulmonary hypertension (SSc‐PH) and interstitial lung disease (SSc‐PH‐ILD) have poor prognosis compared to those with SSc‐PH or SSc‐ILD alone. Little is known of how ILD severity affects outcomes in those with SSc‐PH, or how PH severity affects outcomes in those with SSc‐ILD. Herein, we aimed to delineate clinical features of patients with SSc‐PH and SSc‐ILD and determine to what degree PH and ILD severity contribute to mortality in patients with SSc. We conducted parallel retrospective studies in cohorts of patients with SSc‐PH and SSc‐ILD. We categorized ILD severity by pulmonary function testing and PH severity by cardiopulmonary hemodynamics. Our primary outcome was all‐cause mortality from time of PH or ILD diagnosis for the SSc‐PH and SSc‐ILD cohorts, respectively. We calculated adjusted risks of time to all‐cause mortality using Cox proportional hazards models. In patients with SSc‐PH, severe ILD (HR: 3.54; 95% CI: 1.05, 11.99) was associated with increased hazards for all‐cause mortality. By contrast, mild and moderate ILD were not associated with increased mortality risk. In patients with SSc‐ILD, both moderate (HR: 2.65; 95% CI: 1.12, 6.31) and severe PH (HR: 6.60; 95% CI: 2.98, 14.61) were associated with increased hazards for all‐cause mortality, while mild PH was not. Through our parallel study design, the risk of all‐cause mortality increases as severity of concomitant ILD or PH worsens. Therapies that target slowing disease progression earlier in the disease course may be beneficial.
HyperEstimator: Evolving Computationally Efficient CNN Models with Grammatical Evolution

: Deep learning (DL) networks have the dual beneﬁts due to over parameterization and regularization rendering them more accurate than conventional Machine Learning (ML) models. However, they consume massive amounts of resources in training and thus are computationally expensive. A single experimental run consumes a lot of computational resources, in such a way that it could cost millions of dollars thereby dramatically leading to massive project costs. Some of the factors for vast expenses for DL models can be attributed to the computational costs incurred during training, massive storage requirements, along with specialized hardware such as Graphical Processing Unit (GPUs). This research seeks to address some of the challenges mentioned above. Our approach, HyperEstimator , estimates the optimal values of hyperparameters for a given Convolutional Neural Networks (CNN) model and dataset using a suite of Machine Learning algorithms. Our approach consists of three stages: (i) obtaining candidate values for hyperparameters with Grammatical Evolution; (ii) prediction of optimal values of hyperparameters with supervised ML techniques; (iii) training CNN model for object detection. As a case study, the CNN models are validated by using a real-time video dataset representing road trafﬁc captured in some Indian cities. The results are also compared against CIFAR10 and CIFAR100 benchmark datasets.
Degradation Accordant Plug-and-Play for Low-Rank Tensor Completion

Tensor completion aims at estimating missing values from an incomplete observation, playing a fundamental role for many applications. This work proposes a novel low-rank tensor completion model, in which the inherent low-rank prior and external degradation accordant data-driven prior are simultaneously utilized. Specifically, the tensor nuclear norm (TNN) is adopted to characterize the overall low-dimensionality of the tensor data. Meanwhile, an implicit regularizer is formulated and its related subproblem is solved via a deep convolutional neural network (CNN) under the plug-and-play framework. This CNN, pretrained for the inpainting task on a mass of natural images, is expected to express the external data-driven prior and this plugged inpainter is consistent with the original degradation process. Then, an efficient alternating direction method of multipliers (ADMM) is designed to solve the proposed optimization model. Extensive experiments are conducted on different types of tensor imaging data with the comparison with state-of-the-art methods, illustrating the effectiveness and the remarkable generalization ability of our method.
Revealing emerging science and technology research for dentistry applications of 3D bioprinting

Abstract Science and technology (S&T) on three-dimensional (3D) bioprinting is growing at an increasingly accelerated pace; one major challenge represents how to develop new solutions for frequent oral diseases such as periodontal problems and loss of alveolar bone. 3D bioprinting is expected to revolutionize the health industry in the upcoming years. In dentistry, this technology can become a significant contributor. This study applies a Competitive Technology Intelligence methodology to uncover the main S&T drivers in this domain. Looking at a 6-year period from 2012 to 2018 an analysis of scientific and technology production was made. Three principal S& T drivers were identified: Scaffolds development, analysis of natural and synthetic materials, and the study of scaffold characteristics. Innovative hybrid and multiphasic scaffolds are being developed to regenerate periodontal tissue and alveolar bone by combining them with stem cells from the pulp or periodontal ligament. To improve scaffolds performance, biodegradable synthetic polymers are often used in combination with bioceramics. The characteristics of scaffolds such as fiber orientation, porosity, and geometry, were also investigated. This research contributes to people interested in bringing innovative solutions to the health industry, particularly by applying state-of-the-art technologies such as 3D bioprinting, in this case for dental tissues and dental bone diseases.
Uncertainty-Based IMU Orientation Tracking Algorithm for Dynamic Motions

With the recent technological advancement in low-cost wireless inertial motion trackers, measuring three-dimensional motion for biomechanics research becomes more facile. However, the methods of acceleration modeling in off-the-shelf filters do not hold for all movements in sports activities with significant and long-lasting accelerations. This paper presents a robust algorithm for orientation tracking in the presence of large active accelerations lasting longer than the maximum time the MEMS gyroscopes can solely keep track of the body orientation. We particularly model the uncertainty of active acceleration and take it into explicit account in an extended Kalman filter based orientation estimator for applying measurement updates accurately in dynamic motions such as sports activities. The proposed tracker also estimates the magnetic disturbances by using an uncertainty model to improve the heading estimation. Benchmarking the results with the Vicon Optical as ground truth and the MTw kit with a specific filter for body motion tracking shows the robustness of our method against variations of acceleration in different types of motion. Our tracker performs orientation estimation in real time with fast convergence during acceleration shocks and low root-mean-square error, particularly when experiencing large accelerations in periodic motions.
Updated estimates of sepsis hospitalizations at United States academic medical centers

Sepsis is a major public health problem. Understanding the epidemiology of sepsis subtypes is important to quantify the magnitude of the problem and identify targets for system wide treatment strategies. We sought to describe the current national epidemiology of community‐acquired (CAS), hospital‐acquired (HAS) and healthcare‐associated sepsis (HCAS) hospitalizations among academic medical centers in the United States using current discharge diagnosis taxonomies.
Supply chain flexibility and operations optimisation under demand uncertainty: a case in disaster relief

After a disaster happens, emergency response operations are critical to save humans’ lives and properties. The limited resources and time requirements call for coordinated supply chain operations. This paper studies supply chain operations for rescue kits in disaster reliefs, motivated by a real-world application. The objective is to minimise the total tardiness and peak tardiness of product delivery over the multi-period planning horizon. One major challenge is the lack of reliable prediction of customer demand in disasters. In order to cope with demand uncertainty while maintaining the tractability of the optimisation model, we decompose the demand into two components: a relatively stable base demand predicted by historical data and unpredictable demand surges. For the base demand, an optimisation model is developed to optimise the production and distribution operations, as well as the inventory replenishment policy for manufacturers and distribution centres, so as to minimise the total tardiness. For the demand surges, we propose to deploy supply chain flexibility to cope with the uncertainty. An empirical study shows the effectiveness of increasing supply chain flexibility and suggests some managerial insights on configuring such flexibility in emergency operations.
Architecture Follows Nature-Biomimetic Principles for Innovative Design

Biology influences design projects in many ways; the related discipline is known as biomimetics or biomimicry. The presentation will focus on architectural proposals that by finding inspiration for their development in nature processes, systems, functions and forms are able to co-exist with nature rather than exploit it. In my most recent book "Architecture Follow Nature. Biomimetic Principles for Innovative Design" I seek to instill a shift in thinking about the application of biological principles to design and architecture and focus on the analysis of how organisms have adapted to different environments and translates the learned principles into the built environment. In order to do so, I draw inspiration from the diversity of animal coverings, i.e., the skin.
Influence of Solvent Selection in the Electrospraying 
Process of Polycaprolactone

Electrosprayed polycaprolactone (PCL) microparticles are widely used in medical tissueengineering, drug control release delivery, and food packaging due to their prominent structuresand properties. In electrospraying, the selection of a suitable solvent system as the carrier of PCL isfundamental and a prerequisite for the stabilization of electrospraying, and the control ofmorphology and structure of electrosprayed particles. The latter is not only critical for diversifyingthe characteristics of electrosprayed particles and achieving improvement in their properties, butalso promotes the efficiency of the process and deepens the applications of electrosprayed particlesin various fields. In order to make it systematic and more accessible, this review mainly concludesthe effects of different solution properties on the operating parameters in electrospraying on theformation of Taylor cone and the final structure as well as the morphology. Meanwhile,correlations between operating parameters and electrospraying stages are summarized as well.Finally, this review provides detailed guidance on the selection of a suitable solvent systemregarding the desired morphology, structure, and applications of PCL particles.
EFFECT OF MORINGA OLIFERA LEAVES AND SEEDS SUPPLEMENTATION ON SEMEN CHARACTERISTICS, TESTES AND EPIDIDYMIS BIOMETRY AND SOME BLOOD PARAMATERS IN BARKI RAMS.

: This study aimed to investigate the effect of MOl or MSC supplementation on some blood constituents, semen characteristics, testis and epididymis measurements in Barki rams. Fifteen Barki rams aged 10-12 months divided into three similar groups (5each). Rams in G1 were fed the basal diet supplemented by MOL (5% of CFM), rams in G2 fed the basal diet supplemented by MSC (10% of CFM) while rams in G3 (control) were fed the basal diet without supplements. Blood samples were collected and erythrocytes, Hb, PLT, PCV, MCV, MCH, MCHC, ALT, AST, glucose, uric acid, creatinine and testosterone were determined. Semen was collected and semen physical characteristics as well as of the epididymis and testes biometric were evaluated. Results indicated that MOL and MSC supplementation to ram rations significantly affected glucose, creatinine, urea, ALT, AST and testosterone levels, and insignificantly on erythrocyte, Hb, PLT, PCV, MCV, MCH, and MCHC. In this regard, MOL supplementation to ram rations increased MCV, PLT and decreased RBCs, Hg, MCH, MCHC, and PCV; while, MSC supplementation increased RBCs, Hg, MCHC, PLT, and urea. The addition of MOL or MSC increased ALT, AST, and creatinine, and decreased testosterone and glucose levels. Both supplementation (MOL or MSC) in Barki rams' feed improved most characteristics of semen such as volume, motility, vitality and normality, and reduced mortality and abnormalities and there is no significant effect on testes measurements. The highest testicular weight and width were observed in the MOL group. The testicular size was relatively higher for rams fed a moringa-free diet compared to those supplemented with MOL or MSC. It could be concluded that supplementation of MOL and MSC rations into Barki rams' rations improved most of the semen characteristics (volume, motility, vitality and normality) and reduced mortality and malformations. However, it negatively affects kidney function (increased urea and creatinine) and liver enzyme activities (ALT & AST).
A General Review of Multilevel Inverters Based on Main Submodules: Structural Point of View

Multilevel inverters (MLIs) are being used in wide range of power electronic applications. These converters have attracted a lot of attention during recent years and exist in different topologies with similar basic concepts. This paper presents five main submodules (SMs) to be used as the basic structures of MLIs. The paper reviews the common MLI topologies from the structural point of view. The topologies are divided into the different SMs to show conventional MLI configurations and future topologies that can be created from the main SMs. A comparative study between different topologies is performed in detail. The MLIs are categorized and investigated with from different perspectives such as the number of components, the ability to create inherent negative voltage, working in regeneration mode and using single dc source.
Phosphorus recovery from dairy manure wastewater by fungal biomass treatment

Polyphosphate accumulating fungi was cultured to remove and recover the excessive phosphorus from dairy manure wastewater (DMW). The microbial treatment removed 83.9% of phosphorus in 20‐fold diluted DMW by the fungal biomass in 12 h. At the meantime, 33.6% of chemical oxygen demand, 46.5% of total nitrogen, and 89.4% of total ammonia nitrogen were removed as well. At seventh reuse batch, the cells could still remove 50.4% of phosphorus from the diluted wastewater. The average phosphorus removal efficiency in seven reuse batches was calculated as 62.1%, the nitrogen‐to‐phosphorus ratio in DMW increased from 3.6 : 1 to 6.3 : 1. With the treatment, DMW will be more suitable for farmland irrigation, with the better nutritional ratio to support crop growth, and it will help mitigate phosphorus pollution to water bodies caused by over‐applied phosphorus in the farmland.
Developing an analytical solution for photo-sensitive hydrogel bilayers

In this article, a new conceptual design of light-sensitive switches made of a soft bilayer is introduced. The bilayer structure consists of a photothermal-sensitive hydrogel strip attached to another neutral incompressible elastomeric layer. The bilayer is assumed to be initially flat under a uniform light irradiation. Decreasing the light intensity causes the bilayer to bend due to the inhomogeneous swelling of hydrogel layer and results in the switch actuation. To enlighten the actuation mechanism and investigate the influence of various parameters on the switch’s photomechanical response, an analytical method is developed to study the bilayer deformation due to the light-intensity variation under plane-strain condition. Additionally, the finite element analysis of the bilayer is conducted, implementing the relevant constitutive model into a finite element code. The deformation and stress inside the layers are studied both analytically and numerically for several cases. The numerical results verify the accuracy of the presented analytical method in this work. The influence of various material and geometrical parameters including each layer’s modulus, the thickness ratio of the layers, and the aspect ratio of the bilayer is investigated. The analytical method is found to be useful for proper design of the light-sensitive hydrogel-based switches.
Physician Path to Wellness. A Qualitative Investigation of Self-Reported Strategies to Shift from Detrimental Health to Optimal Wellness

Background: A healthy physician performs better clinically and provides superior care to patients than a physician struggling with burnout. Objective: The purpose of this study is to assess the physician perception of “health” and “burnout,” to identify successful wellness-promoting behaviors, and to build a model characterizing the successful transition from poor health to wellness. Methods: Utilizing a qualitative approach, the team conducted one-on-one, in-depth, semi-structured interviews with physicians from different specialties. Questions focused on behaviors, beliefs, and system changes that facilitated their transition from poor health/burnout to wellness. Interviews were recorded and responses qualitatively coded from a set of definitions of wellness and burnout. These coded responses were quantified, and code prevalence was analyzed. Results: Fourteen physicians completed interviews. The codebook consisted of 74 total themes, with nine occurring in more than 10 (71%) of the interviews. Most themes yielded to categories of Wellness, Unwell, and Burnout, with several themes related to individual agency in facilitating wellness. Highly prevalent themes included support systems, nutrition, exercise, and cognitive health. Subjects generally described comprehensive approaches to successfully transitioning to wellness. Conclusion: This study describes strategies for the successful transition to wellness: physician-level factors such as a healthy support system, maintaining a healthy lifestyle, and developing consistent daily routines. These findings support the importance of physician autonomy and individual-level wellness-promoting strategies for a physician’s transition to wellness. More research should investigate the overall effect of individual-level strategies versus system-level interventions.