Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of the Upregulated Expression of Fe Regulators IMA1 and bHLH104 in Arabidopsis on the Root Length and Fe Homeostasis Under Pi Starvation

Phosphate (Pi) and iron (Fe) are two essential mineral nutrients for plant growth and development. Pi starvation triggers the Fe local redistribution and over-accumulation, resulting in the reduction of the primary root, while represses the expression of Fe uptake genes. Nevertheless, the antagonistic mechanism between P and Fe nutrition in plant remain not addressed. Here, the effect of the upregulated expression of Fe regulators IMA1 and bHLH104 driven by the different-type promoters (proCaMV 35S, the promoters of Pi-starvation responsive genes proIPS1 and proPHT1;4) in response to Pi starvation was investigated in Arabidopsis. The results showed that the expression of Fe uptake genes IRT1 and FRO2 was successfully upregulated in proIPS1::IMA1, proPHT1;4::IMA1 and proIPS1::bHLH104 under Pi starvation while decreased in pro35S::IMA1, pro35S::bHLH104 and proPHT1;4::bHLH104, compared with that in the corresponding plants under Pi sufficiency. Although the length and Fe distribution in roots of them didn’t have significant difference with wild type under Pi starvation, the Fe distribution and total Fe contents were significantly increased in shoots of proIPS1::IMA1, proPHT1;4::IMA1 and proIPS1::bHLH104 while were decreased in proPHT1;4::bHLH104. The higher Fe concentrations in the Pi-starved transgenic plants also conferred the obviously tolerance to Fe deficiency. Their biomasses and total P concentrations showed no difference with wild type, regardless of Pi sufficiency or deficiency. Therefore, this approach would be a novel manipulation to modify Fe nutrient via coupling with Pi starvation in plants.
Comparison and Evaluation of Charge Equalization Technique for Series Connected Batteries

Charging and discharging of series connected batteries as a whole is associated with charge imbalance problems, which will result in damage to battery cells and reduction of battery life. Various circuits for charge/discharge equalization have been proposed. But so far there is no criterion for comparison and evaluation. In this paper, all the circuits are divided into four groups according to the structure, and each of them is qualitative analyzed and marked with 5-degree marking system. The results are helpful for people to select suitable charge/discharge equalization method. Furthermore, based on experimental results a novel evaluation method with two parameters is proposed, which is very convenient for estimating the equalization effects in static and dynamic equalization. All the results can be used for further study on charging equalization technique.
Historical overview of severe convective storms research

An overview of the history of research related to severe convective storms is presented, with a particular emphasis on the connection between this research and forecasting. Forecasting and basic research in severe convective storms have been intertwined since the very beginnings modern severe convective storms research – that is, since the end of World War II. There are good reasons for this interaction, clearly tied to the large societal impact such storms can have. Several major milestones in severe convective storms research and key field observation campaigns are reviewed and described in terms of the interaction between observations, tools, and models that was first suggested by Tor Bergeron. This interaction continues to the present, and continues to be a useful way to understand how progress in scientific un-derstanding about severe convective storms is developed.
Ion implant requirements for high volume DRAM manufacturing

Samsung sees Ion Implant technologies as a core competency, i.e. it can only negatively impact device performance or fab productivity. Ion Implant is not viewed as a technology driver for mainstream DRAM devices, like Photolithography and the Plasma Etch technologies. As a leader in the very competitive worldwide Memory market, Samsung utilizes proven implant processes whenever possible. All current memory products utilize a twin retrograde well process. The implant requirements for 0.15 to 0.10 micron DRAM products can easily be met by equipment from any of the major Ion Implant equipment suppliers. The differentiator between any of the implant tools from Samsung's perspective is tool uptime, productivity, and reliability. Samsung has a number of internal and external processes to continuously improve these items. This paper will discuss some of the Samsung ion implant requirements and future trends.
Joint optimization of location and inventory decisions for improving supply chain cost performance

Joint Optimization of Location and Inventory Decisions for Improving Supply Chain Cost Performance. (December 2007) Burcu Barış Keskin, B.S., Boǧaziçi University, İstanbul, Turkey; M.S., Boǧaziçi University, İstanbul, Turkey Co–Chairs of Advisory Committee: Dr. Halit Üster Dr. Sıla Çetinkaya This dissertation is focused on investigating the integration of inventory and facility location decisions in different supply chain settings. Facility location and inventory decisions are interdependent due to the economies of scale that are inherent in transportation and replenishment costs. The facility location decisions have an impact on the transportation and replenishment costs which, in turn, affect the optimal inventory policy. On the other hand, the inventory policy dictates the frequency of shipments to replenish inventory which, in turn, affects the number of deliveries, and, hence, the transportation costs, between the facilities. Therefore, our main research objectives are to: • compare the optimal facility location, determined by minimizing total transportation costs, to the one determined by the models that also consider the timing and quantity of inventory replenishments and corresponding costs, • investigate the effect of facility location decisions on optimal inventory decisions, and • measure the impact of integrated decision-making on overall supply chain cost
Dual-band metamaterial absorber with stable absorption performance based on fractal structure

In this paper, two kinds of dual-band metamaterial absorbers (MMAs) with stable absorption performance based on fractal structures are proposed. As the key feature, with the increase in fractal order, the fractal MMAs can reduce the weight while keeping the absorption performance. The multi-band absorption property is analyzed by multiple L-C resonances generated by the fractal structure. By virtue of good impedance matching characteristics and the synergy of the circuit and electromagnetic resonance, effective and stable microwave absorption is readily achieved. Finally, two prototypes are fabricated for demonstration, and the measurement result is consistent well with the simulation one. As expected, the proposed fractal MMAs have the advantage of low-cost, light-weight, and dual-effective absorption bands, and have great potential in the application of multi-band radar stealth.
Deep Neural Network Model for Identification of Predictive Variables and Evaluation of Student's Academic Performance

An important concern for students at all levels, from universities to colleges to junior high and high school, is predicting academic achievement and individual performance. Class tests, homework, lab exams, general tests, and final exams all have an impact on a student's academic success or failure. Students' progress can be assessed by looking at their grades in core subjects and electives. The majority of research, on the other hand, says that a student's achievement is best measured by graduation. Researchers set out to develop mathematical models that may be utilized to forecast student academic performance evaluations based on internal and external type predictive indicators. Multiple predictive variables are taken into account for the assessment of student performance while modelling an efficient template for student performance assessment. The proposed model uses Deep Neural Network (DNN) in the process of considering the predictive variables and evaluating student performance using the variables. The proposed model is compared with the traditional models and the results represent that the proposed model accuracy levels are high contrasted to existing models.
Effects of Prosthetic Rehabilitation on Temporomandibular Disorders: Protocol for a Randomized Controlled Trial

Background Loss of teeth or occlusal imbalance is one of the proposed dental risk factors for temporomandibular disorders (TMDs). Losing some non–free-end teeth cause the original occluding tooth/teeth to supraerupt from the original upright position and causes neighboring tooth/teeth to shift in an angle, causing biomechanical imbalance on the mandible. Based on these sequelae, rehabilitation of missing teeth is the first step in managing TMD in edentulous patients. Even though the prevalence of TMD in association with edentulism and in rehabilitated patients has been increasing, proper guidelines for the management of such cases have not been established. This study describes the protocol to analyze the effect of prosthetic rehabilitation on patients with TMD. Objective This study aims to determine the effectiveness of prosthetic rehabilitation in the reduction of pain in edentulous patients with TMD and to determine the effect of the span of edentulism, the number of quadrants involved, pathological migration, the type of Kennedy classification, and the prosthetic status on temporomandibular joint dysfunction signs and symptoms. Methods In this randomized controlled trial, 300 patients diagnosed with TMD will be grouped into one of the three interventional groups based on the type of their edentulous state. The interventional groups are (1) partially edentulous arch: Kennedy Class I and II (prosthetic rehabilitation without splint); (2) partially edentulous arch: Kennedy Class III and IV (prosthetic rehabilitation with a splint); and (3) completely edentulous arches (prosthetic rehabilitation without splint). All three of the mentioned interventional groups have corresponding control groups that will receive symptomatic treatment and comprehensive counseling. The measured primary outcomes are pain and electromyogram, and the secondary outcomes include pain drawing, Graded Chronic Pain Scale, Jaw Functional Limitation Scale, Oral Behaviours Checklist, depression, physical symptoms, and anxiety. The outcome measurements will be recorded at baseline and at the end of 24 hours, 7 days, 28 days, and 3 months. Results Ethical approval was obtained from the Institutional Review Board of Amrita Institute of Medical Sciences, Kochi, India. Study participants’ recruitment began in May 2021 and is expected to conclude in March 2023. This clinical trial protocol was developed based on the SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) 2013 Statement. Conclusions The purpose of this study is to gather data on prosthetic rehabilitation as a treatment for TMD. Obtaining this goal will aid in the development of evidence-based therapy protocols for prosthetic rehabilitation in TMD management. Trial Registration Clinical Trials Registry - India CTRI/2020/06/026169; http://ctri.nic. in/Clinicaltrials/pdf_generate. php? trialid=42381 International Registered Report Identifier (IRRID) DERR1-10.2196/33104
Numerical Simulation and Analysis of Hydraulic Torque Converter Base on Finite Element

This article make numerical simulation and analysis to hydraulic torque converter model base on finite element. The model is build by CATIA (model software). Application of ADINA (finite element software) calculate and analysis the single fluid-passage in pump impeller, then use ANSYS Workbench (finite element software) analysis structural strength and modal of hydraulic torque converter. Results showed that the calculation is accordant with hydraulic torque converter working situation that proved the feasibility and the effectiveness of the numerical simulation. So numerical simulation can provide certain theoretical reference for the design of the hydraulic torque converter.
Evaluación de las técnicas de planificación de movimientos, Descomposición exacta trapezoidal y descomposición adaptativa de celdas a través de mallas

Compara el desempeno de dos tecnicas de planificacion de movimientos: la descomposicion exacta trapezoidal y la descomposicion adaptativa de celdas a traves de mallas. Ambas tecnicas se implementaron en robots moviles Lego Mindstorms, bajo el ambiente de desarrollo Java-LeJOS. Su evaluacion se realizo en tres ambientes de prueba, asumiendo la geometria del robot de dos maneras: como un punto y como un circulo en el espacio. Esta evaluacion permitio ver que la descomposicion exacta presenta trayectorias mas cortas que la adaptativa, que su desempeno es similar en cuanto al error generado en la localizacion real final del robot, y que ambas tecnicas permiten hallar caminos con menor distancia cuando se considera la geometria del robot como un circulo, que cuando se considera como un punto, ya que se delimitan opciones de recorridos mas cercanos a la realidad.
Pulmonary function changes after thoracoscopic lobectomy versus intentional thoracoscopic segmentectomy for early-stage non-small cell lung cancer

Background Thoracoscopic segmentectomy is increasingly used in the surgical treatment of early-stage non-small cell lung cancer. However, it remains unclear whether pulmonary function loss after thoracoscopic lung resection is in direct proportion to the number of resected segments, and thus intentional thoracoscopic segmentectomy has the function-preserving advantage over thoracoscopic lobectomy. Methods In this prospective observational study, spirometry tests were performed preoperatively and 6 months postoperatively. The observed functional loss was compared with the expected loss estimated by the segment counting method. Resection extent index was introduced as the number of resected segments to total number of segments in the corresponding lobe. Spirometry changes after thoracoscopic lobectomy and intentional thoracoscopic segmentectomy were compared using propensity score matching. Results There were 338 thoracoscopic lobectomies and 321 thoracoscopic segmentectomies. Overall, the observed pulmonary function loss after segmentectomy was significantly less than after lobectomy. But the observed functional loss was significantly greater than the expected loss after segmentectomy. And pulmonary function loss per segment resected was almost doubled after segmentectomy comparing to lobectomy. For segmentectomies with a resection extent index less than 0.5, especially single segmentectomies, pulmonary function loss was significantly less than after corresponding lobectomies. Otherwise, no significant differences in spirometry changes between lobectomies and segmentectomies were detected. Conclusions Pulmonary function loss after thoracoscopic lung resection cannot be accurately evaluated by the number of resected segments. According to the resection extent index, intentional thoracoscopic segmentectomy may help preserve more pulmonary function than thoracoscopic lobectomy only when less than half of the corresponding lobe are resected.
Generation of four-wave mixing products inside WDM C-band 1 W Er3+/Yb3+ amplifier

The generation of four-wave mixing (FWM) products inside a +30 dBm output power booster Er/sup 3-//Yb/sup 3+/ amplifier is reported. The corresponding nonlinear Kerr parameter /spl gamma/ was derived by measurement of the FWM efficiency between two co-propagating signal pumps. Experimental and theoretical FWM transmission impairments have been confirmed for a 2.5 Gbit/s eight-channel WDM transmission system.
Infodemiological Examination of Personal and Commercial Tweets About Cannabidiol: Term and Sentiment Analysis

Background In the absence of official clinical trial information, data from social networks can be used by public health and medical researchers to assess public claims about loosely regulated substances such as cannabidiol (CBD). For example, this can be achieved by comparing the medical conditions targeted by those selling CBD against the medical conditions patients commonly treat with CBD. Objective The objective of this study was to provide a framework for public health and medical researchers to use for identifying and analyzing the consumption and marketing of unregulated substances. Specifically, we examined CBD, which is a substance that is often presented to the public as medication despite complete evidence of efficacy and safety. Methods We collected 567,850 tweets by searching Twitter with the Tweepy Python package using the terms “CBD” and “cannabidiol. ” We trained two binary text classifiers to create two corpora of 167,755 personal use and 143,322 commercial/sales tweets. Using medical, standard, and slang dictionaries, we identified and compared the most frequently occurring medical conditions, symptoms, side effects, body parts, and other substances referenced in both corpora. In addition, to assess popular claims about the efficacy of CBD as a medical treatment circulating on Twitter, we performed sentiment analysis via the VADER (Valence Aware Dictionary for Sentiment Reasoning) model on the personal CBD tweets. Results We found references to medically relevant terms that were unique to either personal or commercial CBD tweet classes, as well as medically relevant terms that were common to both classes. When we calculated the average sentiment scores for both personal and commercial CBD tweets referencing at least one of 17 medical conditions/symptoms terms, an overall positive sentiment was observed in both personal and commercial CBD tweets. We observed instances of negative sentiment conveyed in personal CBD tweets referencing autism, whereas CBD was also marketed multiple times as a treatment for autism within commercial tweets. Conclusions Our proposed framework provides a tool for public health and medical researchers to analyze the consumption and marketing of unregulated substances on social networks. Our analysis showed that most users of CBD are satisfied with it in regard to the condition that it is being advertised for, with the exception of autism.
A Case Study of Wireless Integration into an Enterprise Network

Abstract : This report provides a high level recommendation for a wireless roll-out plan with wireless security policy applicable to the Federal Aviation Administration. We describe general information about wireless technology including the different wireless standards and security measures required to protect an entire network from its wireless components. We describe the history of the wireless roll-out process at Naval Postgraduate School with lessons learned. We describe a process to develop a wireless security policy for a major enterprise. We provide suggestions on development of a pertinent plan for wireless implementation. We offer an exemplar design process for implementation of a wireless network.
Potential of Nanocarrier-Based Drug Delivery Systems for Brain Targeting: A Current Review of Literature

Abstract The advent of nanotechnologies such as nanocarriers and nanotherapeutics has changed the treatment strategy and developed a more efficacious novel drug delivery system. Various drug delivery systems are focused on drug-targeting of brain cells. However, the manifestation of the brain barrier is the main hurdle for the effective delivery of chemotherapeutics, ultimately causing treatment failure of various drugs. To solve this problem, various nanocarrier-based drug delivery system has been developed for brain targeting. This review outlines nanocarrier-based composites for different brain diseases and highlights nanocarriers for drug targeting towards brain cells. It also summarizes the latest developments in nanocarrier-based delivery systems containing liposomal systems, dendrimers, polymeric micelles, polymeric nanocarriers, quantum dots (QDs), and gold nanoparticles. Besides, the optimal properties of nanocarriers and therapeutic implications for brain targeting have been extensively studied. Finally, the potential applications and research opportunities for nanocarriers in brain targeting are discussed.
Yeasts in different types of cheese

Yeasts constitute an important part of cheeses, and especially the artisanal ones. The current study reviews the occurrence of yeasts in different cheese varieties and the role of yeasts in cheesemaking process. The use of molecular methods for identification and strain typing has extended the knowledge for yeast diversity in cheeses. For the study of the occurrence of yeasts in different cheese types, seven categories are used, that is: 1) hard, 2) semi-hard, 3) soft, which includes soft pasta-filata and whey cheeses, 4) white brined cheeses, 5) mould surface ripened, 6) bacterial surface ripened cheeses, and 7) blue cheeses. For some cheese types, yeasts are the main microbial group, at least for some part of their ripening process, while for some other types, yeasts are absent. Differences between industrially manufactured cheeses and artisanal cheeses have specified. Artisanal cheeses possess a diverse assortment of yeast species, mainly belonging to the genera Candida, Clavisporalus, Cryptococcus, Debaryomyces, Geotrichum, Issatchenkia, Kazachstania, Kluyveromyces, Kodemaea, Pichia, Rhodotorula, Saccharomyces, Saturnispora, Torulaspora, Trichosporon, Yarrowia and ZygoSaccharomyces. The role of the yeasts for selected cheeses from the seven cheese categories is discussed.
Closely Related Tree Species with Overlapping Ranges Exhibit Divergent Adaptation to Climate

With global climate change shifting and altering temperature and precipitation regimes, the ability of natural forest stands to persist in their local environments are being challenged. For many taxa, particularly among long lived tree species, the potential to respond is underpinned by genetic and trait diversity and may be limited. We sampled 326 and 366 individuals of two widely distributed and closely-related red gum Eucalyptus species (E. blakelyi and E. tereticornis) from across their entire Australian range. We identified putatively adaptive variants associated within genes of key biological processes for both species. We mapped the change of allele frequencies of two hierarchical gene ontology groups shared by both species across geography and climate and predict genomically vulnerable regions under a projected 2070 climate scenario. Regions of potential vulnerability to decline under future climate differed between species and may be applied to guide conservation and restoration strategies. Our study indicated that some populations may contain the adaptive genomic variation necessary for these species to persist through climate change, while others may benefit from the adaptive variation of those populations to enhance resilience.
Conducted electromagnetic interference analysis and mitigation using zero-current transition soft switching and spread spectrum techniques

Switching power converters cause electromagnetic interference (EMI), which can disturb the normal operation of the converter itself and other adjacent systems. Power converters must comply with electromagnetic compatibility (EMC) standards to guarantee proper operation of converters and nearby systems. Soft switching methods can be employed as EMI mitigation techniques in power converters. Although, soft switching converters are commonly addressed to have lower EMI than hard switching counterparts, they may not satisfy EMC regulations. In this study, spread spectrum by the means of pseudorandom modulation is applied to a zero-current transition (ZCT) flyback converter. By extracting the converter EMI model, the effect of using ZCT soft switching method is simulated and compared to its hard switching counterpart. The reduced amount of conducted electromagnetic emission is demonstrated via the proposed simulation method. To justify the theoretical analysis, the experimental results are presented.