Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimization of Enzyme Production of Trichoderma atroviride Using Response Surface Methodology

1 National Institute for Research & Development in Chemistry and Petrochemistry—ICECHIM, 202 Spl. Independentei, Sector 6, 060021 Bucharest, Romania; naomi.tritean@icechim.ro (N.T.); ioana-alexandra.bala@icechim.ro (I.-A.B.) 2 Faculty of Biology, University of Bucharest, 91-95 Spl. Independentei, 050095 Bucharest, Romania 3 Faculty of BiotechnologiesUniversity of Agronomic Sciences and Veterinary Medicine of Bucharest, 59 Marasti Blvd., Sector 1, 011464 Bucharest, Romania * Correspondence: diana.constantinescu@icechim.ro (D.C.-A.); florin.oancea@icechim.ro (F.O.) † Presented at the 17th International Symposium “Priorities of Chemistry for a Sustainable Development” PRIOCHEM, Bucharest, Romania, 27–29 October 2021. ‡ These authors contributed equally to this work.
Akustische Optimierung in Verbindung zur Konstruktion

Objective of this reseach project supported by the DFG was the construction of a computer-aided tool with which the acoustic behaviour of a component to be redesigned can be optimized. A coarsely structured three dimensional CAD-model whose acoustic relevant design features are parameterized is starting point of the optimization. This parameterized structure is optimized with the aid of a mathematical algorithm. To that the model is transferred from the CAD-environment into the simulation environment and the best possible parameter set is determined. With that the new initial figure of the component is defined.
Solitary rectal ulcer: another view of the management algorithm

quoted by Drs Han, Kim, and Lee excluded patients with intraductal growth from analysis. Therefore they cannot corroborate the statement that intraductal growth ‘‘has been a contraindication for endoscopic papillectomy especially when applied with curative intent. ’’ Further studies are warranted to confirm our results; however, we were able to offer curative endoscopic treatment to O80% and almost 50% of the patients who had a benign papillary tumor without and with intraductal growth, respectively. All would have had to undergo surgery for curative therapy only a few years ago.
MicroRNAs and Progesterone Receptor Signaling in Endometriosis Pathophysiology

Endometriosis is a significant disease characterized by infertility and pelvic pain in which endometrial stromal and glandular tissue grow in ectopic locations. Altered responsiveness to progesterone is a contributing factor to endometriosis pathophysiology, but the precise mechanisms are poorly understood. Progesterone resistance influences both the eutopic and ectopic (endometriotic lesion) endometrium. An inability of the eutopic endometrium to properly respond to progesterone is believed to contribute to the infertility associated with the disease, while an altered responsiveness of endometriotic lesion tissue may contribute to the survival of the ectopic tissue and associated symptoms. Women with endometriosis express altered levels of several endometrial progesterone target genes which may be due to the abnormal expression and/or function of progesterone receptors and/or chaperone proteins, as well as inflammation, genetics, and epigenetics. MiRNAs are a class of epigenetic modulators proposed to play a role in endometriosis pathophysiology, including the modulation of progesterone signaling. In this paper, we summarize the role of progesterone receptors and progesterone signaling in endometriosis pathophysiology, review miRNAs, which are over-expressed in endometriosis tissues and fluids, and follow this with a discussion on the potential regulation of key progesterone signaling components by these miRNAs, concluding with suggestions for future research endeavors in this area.
Tourism Promotion And Power Creating Images Creating Identities

Thank you for downloading tourism promotion and power creating images creating identities. Maybe you have knowledge that, people have search numerous times for their favorite books like this tourism promotion and power creating images creating identities, but end up in malicious downloads. Rather than enjoying a good book with a cup of coffee in the afternoon, instead they are facing with some infectious bugs inside their computer.
Running head: Neural Network Approach to Classification AUT Responses Automated Categorization of the Alternative Uses Task: A Neural Network Approach

Previous work suggests that people come up with creative ideas by searching through a broad number of cognitive categories. Creative ideation is thought to be fluent, in that a person continuously switches between cognitive categories. Divergent thinking tasks, such as the Alternative Uses Task (AUT), are often used to study creative ideation. To test the creative ideation process categorized data is needed which is not fixed to one single category but can belong to multiple categories. With this study, we created an algorithm which automates the categorization of AUT responses. Categories were extracted by a cluster analysis of semantic similarity measurements. Semantic similarity between responses was based on Word2Vec, a natural language processing technique. Several experts categorized 6,000 AUT responses. A subset of (80%) of the data was in turn used to train a neural network. The neural network predictions for the remaining 20% of the data was compared to expert chose categories. The neural network achieved a prediction accuracy of 76%. However, the model did not remove variance between experts. With this automated multi-label classification model, we provide a pilot for a modern categorization method to more efficiently examine the creative ideation process.
Hyperthermia Treatment as a Promising Anti-Cancer Strategy: Therapeutic Targets, Perspective Mechanisms and Synergistic Combinations in Experimental Approaches

Despite recent developments in diagnosis and treatment options, cancer remains one of the most critical threats to health. Several anti-cancer therapies have been identified, but further research is needed to provide more treatment options that are safe and effective for cancer. Hyperthermia (HT) is a promising treatment strategy for cancer because of its safety and cost-effectiveness. This review summarizes studies on the anti-cancer effects of HT and the detailed mechanisms. In addition, combination therapies with anti-cancer drugs or natural products that can effectively overcome the limitations of HT are reviewed because HT may trigger protective events, such as an increase of heat shock proteins (HSPs). In the 115 reports included, the mechanisms related to apoptosis, cell cycle, reactive oxygen species, mitochondrial membrane potential, DNA damage, transcription factors and HSPs were considered important. This review shows that HT is an effective inducer of apoptosis. Moreover, the limitations of HT may be overcome using combined therapy with anti-cancer drugs or natural products. Therefore, appropriate combinations of such agents with HT will exert maximal effects to treat cancer.
New or Old? Exploring How Pre-Trained Language Models Represent Discourse Entities

Recent research shows that pre-trained language models, built to generate text conditioned on some context, learn to encode syntactic knowledge to a certain degree. This has motivated researchers to move beyond the sentence-level and look into their ability to encode less studied discourse-level phenomena. In this paper, we add to the body of probing research by investigating discourse entity representations in large pre-trained language models in English. Motivated by early theories of discourse and key pieces of previous work, we focus on the information-status of entities as discourse-new or discourse-old. We present two probing models, one based on binary classification and another one on sequence labeling. The results of our experiments show that pre-trained language models do encode information on whether an entity has been introduced before or not in the discourse. However, this information alone is not sufficient to find the entities in a discourse, opening up interesting questions about the definition of entities for future work.
Developpement d'une methode level set pour le suivi d'interfaces et applications

Le principe de la methode Level Set est de definir une fonction interface dans le domaine de calcul dont la courbe de niveau 0 est l'interface que l'on cherche a decrire. La resolution d'une equation de convection permet de predire les mouvements de l'interface dans un champ de vitesse donne. Cette methode manipule les changements topologiques naturellement, et le calcul des caracteristiques geometriques du probleme est particulierement simple a l'aide du calcul du gradient de la fonction Level Set. Un algorithme est utilise pour reorganiser les lignes de niveau autour de l'interface, et s'assurer que la fonction reste la distance algebrique a l'interface. Le suivi d'interface est couple a une methode de projection pour la resolution directe des equations de Navier Stokes incompressibles. Les derivees spatiales sont approximees par des schemas centres d'ordre 2, exceptes les termes convectifs qui sont discretises avec des schemas WENO5. Les derivees temporelles sont approximees par un schema Adams Bashforth ou Runge-Kutta d'ordre 2 ou 3. L'equation de Poisson obtenue est resolue avec la methode du gradient conjugue, pre conditionne par une methode multigrille. Les discontinuites au passage de l'interface sont prises en compte par une formulation « delta » (lissage sur 2 mailles) ou la methode « ghost fluid » qui prend en compte les sauts par prolongement de chaque cote de l'interface. Les codes sont entierement parallelises sous MPI. Les calculs sur des collisions de gouttes avec coalescence et/ou rupture ou le developpement de jets liquides ou nappes liquide sont tout a fait comparables aux resultas experimentaux de la litterature.
Modestly protective cytomegalovirus vaccination of young children effectively prevents congenital infection at the population level

A vaccine to prevent congenital cytomegalovirus infection (cCMV) is a public health priority. cCMV results from maternal primary or non-primary CMV infection (reinfection or reactivation of chronic infection) during pregnancy. Young children are a major source of transmission to pregnant women because they shed CMV at high viral loads for prolonged periods. CMV vaccines evaluated in clinical trials so far have demonstrated only approximately 50% efficacy against maternal primary infection. None of these have been approved, as higher levels of vaccine-induced immunity are assumed to be required to substantially reduce cCMV prevalence. Here, we designed a mathematical model to capture the relationship between viral shedding by young children and maternal CMV infections during pregnancy. Using this model, we were able to quantify the efficacy of CMV immunity following infection to protect against reinfection and viral shedding. There was a 35% reduction in the risk of infection to a seropositive person (reinfection) versus a seronegative person (primary infection), given the same exposure. Viral shedding following reinfection was only 25% the quantity of that following primary infection. We also found that a vaccine that confers the equivalent of infection-induced immunity, when given to young children, markedly reduces both CMV transmission to pregnant women and rates of cCMV. Thus, we predict that vaccine candidates that have already been shown to be only modestly protective may in fact be highly effective at preventing cCMV by interrupting child-to-mother transmission.
EFFECT OF RAMAN AND RAYLEIGH SUPPRESSION IN WDM SYSTEMS

We have analyzed a WDM system for Raman and Rayleigh scattering effect and their suppression methods. We have transmitted 10 Gbps data to 128 users. To increase the distance, we have employed SOA amplifiers in the channel. The frequency and power of WDM transmitters has been taken at 190 THz and 3.99 dBm respectively. The injection current of 0.5A has been given to the amplifier. The data is transmitted at 1550 nm wavelength to reduce the effect of attenuation.
High‐Spatial‐Resolution Mass Rates From GRACE and GRACE‐FO: Global and Ice Sheet Analyses

GRACE and GRACE‐FO gravimetry data are unique in its ability to observe global water mass variability and has frequently been applied for the determination of global mass rates to quantify the impacts of climate change and human activity on global freshwater availability and land ice evolution. However, its relatively coarse spatial resolution of ∼300‐500 km at monthly intervals precludes its direct use to measure mass changes in smaller drainage basins and individual glacier systems. We present a new global high‐resolution mascon product that improves spatial resolution and signal recovery by estimating trends directly from more than 16 years of Level 1B GRACE and GRACE‐FO data. We compare this product to independent gravimetry spherical harmonic trend estimates and to ice sheet mass rates derived from ICESat and ICESat‐2 laser altimetry. We demonstrate enhanced global signal recovery and improved agreement with ICESat/ICESat‐2 and discuss likely causes for the remaining discrepancies between the gravimetry and laser altimetry solutions.
Binaural Reproduction Over Loudspeakers Using a Modified Target Response

Crosstalk cancellation (XTC) is a technique that can be used to play binaural content, typically meant for headphone playback, over two or more loudspeakers. Though effective at creating a binaural spatial sound field at the listening position, many XTC algorithms introduce spectral coloration, suffer from spatial robustness issues and create filters that are unrealizable in practice. Past approaches to dealing with this issue rely heavily on regularization. In this work we propose a new topology for loudspeaker binaural rendering (LBR) that performs better than conventional techniques without the need for regularization commonly associated with crosstalk cancellation based binaural renderers (XTC-BR). We then explore the use of a proposed LBR in the context of multiple output channels. A method is investigated to further optimize the filter design process by selecting an appropriate modeling delay and filter length using methods practiced in XTC filter design.
Research on Concrete Micro Structure Analysis Based on Intelligent Vision

The quality of concrete plays an important role in assessing the safety and reliability issues of buildings, bridges and roads. At present, quality tests mainly depend on manual labor, through a micro telescope vision to check crossover of concrete sample. It is time-consuming and the test results have low reliability. This paper proposes a new intelligent vision based on analyzing method by implementing fuzzy logic. Base on support vector learning, the fuzzy rules are constructed automatically simulating a human learning and classifying process. This approach improves the productivity, reliability, and degree of automation. Compared with traditional method, this way proves its effectiveness through experimental verification.
A Survey: Energy Efficient Routing Techniques in Mobile Wireless Sensor Network

Energy and reliability of mobile nodes are the two important facets in a wireless sensor network and in real time monitoring applicat ions. Sensor nodes with mobility have sparse energy resource thus achie ving energy efficiency during routing has become a demanding need in Mobile Wireless Sensor Network. The recent advancements in mobile wireless sensor networks (MWSNs) has caught much attention as it offers great advantages in monitoring varied environmental niche by sensing physical processes. In this study, we surveyed the available energy -efficient routing techniques like LEACH with mobility aware, Hybrid mu ltipath routing, Latency and Reliab ility -aware Geographic routing and routing protocol based on dynamic slot reservation protocol. In this paper co mparative study is carried out based on different considerations for routing protocols which can affect specific application requirements and Mobile
Algorithms for design space exploration and high-level synthesis for multi-fpga reconfigurable computers

The Reconfigurable Computer (RC) consists of multiple Field Programmable Gate Array (FPGA) devices, memory banks and interconnection hardware between the FPGAs. The RC, offering a wide variety of hardware resources but limited in quantity, poses a challenge to design automation techniques. The state-of-the-art design automation for RCs direly requires efficient High-Level Synthesis (HLS) and behavioral partitioning techniques that can effectively utilize the rich set of resources. Thus, HLS plays a central role in the design automation of RCs. HLS comprises of a collection of well-established sub-problems, each of which are known to be NP-complete. HLS techniques have gained popularity primarily due to their ability to quickly explore a wide variety of structural implementations, for a given behavioral specification of the design. This thesis presents a high-level synthesis framework consisting of a variety of HLS techniques and models that collectively provide complete synthesis support for the design automation of RCs. Traditional interaction between HLS and spatial partitioning is primarily to obtain a quick estimate on a contemplated solution, using a naive exploration model. This kind of an interaction is inadequate because high-level exploration is performed without any knowledge about the partitioned configuration of the behavior. This thesis presents a novel exploration technique that incorporates a partitioning-based exploration model. In order to provide close interaction between synthesis and partitioning, we provide an exploration framework that can be integrated with any partitioning algorithm. The exploration framework provides an collection of methods that a partitioner can use to control the trade-off between time spent in exploration and the amount of design space explored. Traditional HLS developed for ASICs are not quite suitable for RCS that provide a limited set of resources. This thesis presents two new techniques that efficiently utilize the resources on the Re architecture. We have developed a application-specific macro-based synthesis process that dynamically generates macro components specific to an application and uses these during HLS. This thesis presents a new time-constrained scheduling algorithm that has low-complexity, yet produces good quality schedules. This scheduling algorithm is an ideal candidate for high-level exploration with partitioning since millions of solutions will have to be evaluated. The high-level synthesis system incorporates the widely used resource-constrained Force Directed List Scheduling (FDLS) Algorithm developed by Paulin and Knight. We have developed an improved FDLS technique that significantly reduces the computational intensity of the original FDLS algorithm without degrading the schedule quality. (Abstract shortened by UMI.)
Low Frequency Dispersion in InP HEMTs

The InAlAs/InGaAs/InP HEMT is the state-of-the-art technology for design of ultralow noise amplifiers for radio astronomy and deep space communication. One of the reasons that make this technology very attractive is the outstanding cut-off frequency fT and maximum frequency of oscillation fmax. However, a low frequency dispersion problem has been found for InP HEMTs working at very low temperature. This is a concern for receivers working in cryogenic condition to achieve better noise performance. No study has been published on this phenomenon before. In this thesis, a full study of low frequency dispersion in InP HEMTs is presented. The study is based on different measurement techniques including DC, RF and pulse characterization as well as analyzing spectrum measurements. Moreover, this thesis is focused on the influence of the temperature and device structure on the low frequency dispersion problem. Three mechanisms, traps, odd mode oscillation and impact ionization, have been found closely associated with the observation of low frequency dispersion in InP HEMTs.
A Review of Applications and Potential Applications of UAV

In this review paper, practical experiences of unmanned aerial vehicles (UAVs) in precision agriculture and remote sensing are explored. In two case studies, their use is compared with traditional aircraft or satellite based platforms and UAV provide better results in both cases and at lower cost. Based on this, other potential local uses of UAVs are highlighted that may help expedite their use locally and attract wide research, investment and better policy regulation for their application.
Intra‐ and interspecific plant–soil interactions, soil legacies and priority effects during old‐field succession

1. Legacy effects of plant influences on abiotic and biotic soil properties can result in priority effects that influence the structure and composition of plant communities. To better understand the role of these plant–soil interactions, here we expand the concept of plant–soil feedbacks from a within‐species approach (intraspecific plant–soil feedback) to a between‐species approach (interspecific plant–soil interactions).
Cathode Design for High Energy Molten Salt Lithium-Oxygen Batteries

State of the art commercial lithium ion batteries use cathodes such as lithium cobalt oxide which rely on insertion and removal of lithium ions from a host material. However, insertion cathode materials are limited in their capacity, and replacing them with a cathode that employs growth and dissolution of new phases could significantly increase a battery’s energy density. For example, oxygen and sulfur cathodes have been widely researched to this end, with both cases involving the growth of a lithium-rich compound on a current collector/catalyst support. We begin by describing the effect of using a molten salt electrolyte in a lithium-oxygen battery. In particular, we focus on how the electrochemical performance and discharge product, lithium peroxide, differ from that of a traditional organic electrolyte. In addition, we discuss the enhanced peroxide solubility in a molten salt and its implications for lithium peroxide growth and coulombic efficiency. Finally, we address the cell death of a galvanostatically cycled battery. We then introduce a similar phase-forming conversion chemistry, whereby a molten nitrate salt serves as both an active material and the electrolyte. Molten nitrate salts were previously studied as an active material in a primary lithium battery where lithium oxide irreversibly forms as nitrate reduces to nitrite. We will describe how the use of a nanoparticle heterogeneous catalyst allows the reversible growth and dissolution of micron-scale lithium oxide crystals in this system. After introducing these molten salt lithium batteries, we address the effect of cathode geometry on electrochemical performance. In particular, we note that the growth of such large, solid phase species on the surface of the catalyst support imposes new design restrictions when optimizing a cathode for energy density. As a proof of concept, we design and implement an architected electrode with large pore volume and relatively small surface area, comparing it with the more typical geometries of thin films and nanoparticles.