bluuebunny/crossref_metadata_2025_split huggingface dataset:
A relação entre Arquitetura da Informação e experiência do usuário sob a ótica dos pesquisadores da Ciência da Informação brasileira
Authors: Torino Emanuelle , Brito Jean Fernandes , Rodas Cecílio Merlotti , Vidotti Silvana Aparecida Borsetti Gregorio 
Published: January 2023

Objetivo: Identificar a relação entre Arquitetura da Informação e Experiência do Usuário, com o intuito de verificar como essas duas áreas se interseccionam na ótica dos pesquisadores brasileiros da área da Ciência da Informação, por meio da produção acadêmico-científica. Métodos: Realiza revisão sistemática da literatura científica indexada na Base de Dados Referenciais em Ciência da Informação e da produção acadêmica disponível na Biblioteca Digital Brasileira de Teses e Dissertações, com análise qualitativa dos resultados encontrados. Resultado: Como resultados foram identificados 9 trabalhos que tratam da temática, dos quais apenas 4 relacionam a Arquitetura da Informação e a Experiência do Usuário, sendo que somente 1 deles o faz de forma objetiva. Conclusões: Desta forma, ainda que os estudos dessa natureza sejam incipientes, a partir dos dados analisados, é possível afirmar que quando o projeto de construção de um ambiente digital é sistematizado a partir dos aparatos teóricos e práticos da Arquitetura da Informação juntamente com as qualidades objetivas e subjetivas da Experiência do Usuário, maiores serão a eficiência e eficácia, ou seja, a Experiência do Usuário nos ambientes informacionais digitais, cujos benefícios serão perceptíveis para os usuários, os ambientes informacionais e seus mantenedores.
Cost-Based or Learning-Based?
Authors: Yu Xiang , Chai Chengliang , Li Guoliang , Liu Jiabin 
Published: January 2023

Traditional cost-based optimizers are efficient and stable to generate optimal plans for simple SQL queries, but they may not generate high-quality plans for complicated queries. Thus learning-based optimizers have been proposed recently that can learn high-quality plans based on past experiences. However, learning-based optimizers cannot work well for dynamic workloads that have different distributions with training examples.
In this paper, we propose a hybrid optimizer that adopts the advantages and avoids the shortcomings of these two types of optimizers, which first generates high-quality candidate plans from each type of optimizers and then selects the best plan from the candidates. There are two challenges. (1) How to generate high-quality candidates? We propose a hint-based candidate generation method that leverages the learning-based method to generate highly beneficial hints and then uses a cost-based method to supplement the hints to generate complete plans as candidates. (2) How to evaluate different candidate plans and select the best one? We propose an uncertainty-based optimal plan selection model, which predicts the execution time and the uncertainty for each plan. The uncertainty reflects the confidence of the execution time prediction. We select the plan using the uncertainty model. Experiment results on real datasets showed that our method outperformed the state-of-the-art baselines, and reduced the total latency by 25% and the tail latency by 65% compared to PostgreSQL.
Opinion paper on the systematic application of integrated bioinformatic tools to actuate routine precision medicine in poly-treated patients
Authors: Borro Marina , Salerno Gerardo , Gentile Giovanna , Simmaco Maurizio 
Published: January 2023

Abstract
Precision Medicine is a reality in selected medical areas, as oncology, or in excellent healthcare structures, but it is still far to reach million patients who could benefit from this medical concept. Here, we sought to highlight how the time is ripe to achieve horizontal delivery to a significant larger audience of patients, represented by the poly-treated patients. Combination therapies are frequent (especially in the elderly, to treat comorbidities) and are related to decreased drug safety and efficacy, disease’s exacerbation, additional treatments, hospitalization. But the recent development and validation of bioinformatic tools, aimed to automatic evaluation and optimization of poly-therapies, according to the unique individual characteristics (including genotype), is ready to change the daily approach to pharmacological prescription.
A feasibility study on the clinical use of noninvasive tibial nerve stimulation towards neurogenic bladder in spinal cord injured individuals
Authors: Tancredo Janaina , Selegatto Ivan , Dancona Carlos Arturo , Junior Alberto Cliquet 
Published: January 2023

Abstract
This research assesses the effect of tibial nerve electrical stimulation on urinary incontinence in individuals with spinal cord injury (SCI) being a prospective noncontrolled intervention study. 8 individuals with SCI were recruited from the outpatient clinic. This study demonstrates results of tibial nerve stimulation (TNS) applied to the tibial nerves for 12 weeks. Two questionnaires were applied (Neurogenic Bladder Symptom Score-NBSS and Qualiveen- SF) and presented a tendency to improve symptoms and quality of life, however, without statistical significance. With the urodynamic data: maximum cystometric capacity increased with a mean of 285.6 ml pre, to 314.8 ml post TNS (P-Value: 0.554); compliance increased from 26.38ml/cmH2O pre TNS to 29.88ml/cmH2O post TNS (PValue: 0.461); detrusor hyperactivity in the filling phase occurred in all patients in the pre TNS assessment; the maximum amplitude of the detrusor pressure in mean detrusor overactivity after TNS increased from 62.0 to 66.6 cmH2 (PValue: 0.674); urinary leakage pressure during detrusor overactivity pre TNS were mean of 54.0 and 53.2 after (PValue: 1). The implications for rehabilitation practice and the positive effects of TNS are fundamental to improving the quality of life and reducing urinary incontinence on these individuals. Clinical outcomes, i.e., improvement on urinary incontinence can be achieved within a short period of intervention.
Exploring methods for targeted activation of the sympathetic nervous system without exercise
Authors: Ostermeier Marie , Schmoll Martin 
Published: January 2023

Abstract
When using functional electrical stimulation (FES) for cycling in individuals with spinal cord injury (SCI) during FES-cycling, a rapid onset of muscular fatigue can be observed. Among other reasons, missing neural feedback from the lower extremities might be responsible for a reduced sympathetic response during stimulation. Therefore, this project explores different methods to activate the sympathetic nervous system to increase the heart rate to allow better blood circulation and oxygenation in the working muscles. Six techniques were selected to be tested on 10 healthy participants in the context of pilot measurements. Those were the cold pressor test with both hands, a virtual reality roller-coaster ride, the hot water immersion test with two hands, the Wim Hof breathing method, the Valsalva manoeuvre and the ingestion of Capsaicin through Prik Jinda chilli peppers. The results showed a significant increase in average as well as peak heart rate during all methods performed. From baselines of around 68±1.3 bpm, the strongest increases in both parameters were found for the Valsalva manoeuvre (to 118±20.9 bpm peak, 91±14.2 bpm average), the Wim Hof breathing method (to 112±13.5 bpm peak, 86±11.8 bpm average) and Capsaicin ingestion (to 103±18.9 bpm peak, 80±16.7 bpm average). The methods as they were performed in this project, are not all directly applicable to FES-Cycling but rather serve as exploration how efficiently which stimuli can increase the heart rate. In future research, adaptation or combination of techniques might help to increase performance during FES-Cycling.
Clinical outcomes of neuromuscular electrical stimulation applied to different neurological levels of spinal cord injuries: a pilot study
Authors: Silvestre Orcizo Francisco , Bittar Cintia Kelly , Yaly Aoki Rodrigo Kenji , Zuchatti Bruna Valentina , Ramello Danielly Caroline de Souza , Derycke Sofia de Siervi , Alves Carla Fakih , Buratti Mascarenhas Mariana , Junior Alberto Cliquet 
Published: January 2023

Abstract
Electrical stimulation is a tool that has been used in various ways in the rehabilitation of spinal cord injuries. Surface i.e. electromyography is an effective method for assessing the many conditions in which the patient is. Objective:To evaluate the benefits through neuromuscular electrostimulation in patients with spinal cord injury and possible neuroplasticity gain observed in electromyography. Method:This is a pilot study on the evolution of clinical cases of different neurological levels of spinal cord injury. Conclusion:It was observed that the spinal cord injured patients analyzed in this preliminary study showed possible gain in neuroplasticity.
Electrical imaging of axonal stimulation in the retina
Authors: Corna Andrea , Lausen Timo , Thewes Roland , Zeck Günther 
Published: January 2023

Abstract
Stimulation of axons or its avoidance plays a central role for neuroprosthetics and neural-interfaces research. One peculiar example constitutes retinal implants. Retinal implants aim to artificially activate retinal ganglion cells (RGCs) via electrical stimulation. Such stimulation, however, often generates undesired stimulation of RGC axon bundles, which leads to distorted visual percepts. In order to establish stimulation strategies avoiding axonal stimulation it is necessary to image the evoked activity in single axons. In this work we electrically imaged axonal stimulation in ex vivo mouse retina using a high-density CMOS-based microelectrode array. We demonstrate signal propagation tracking via stimulus triggered average during high frequency (100 Hz) sinusoidal electrical stimulation.
SmartStim: A Recurrent Neural Network Assisted Adaptive Functional Electrical Stimulation for Walking
Authors: Nandakumar Varshini , Swain Ian , Taylor Paul , Merson Earl , Budka Marcin 
Published: January 2023

Abstract
According to the Neuro Patience report of the Neurological Alliance, 1 in 6 people in the UK has a neurological condition. With the growth in technology, rehabilitation for neurological problems is one of the fastgrowing fields. Functional Electrical Stimulation (FES) is one of those neuro-rehabilitation methods that uses electrical nerve stimulation to restore functional muscle movements that are lost due to neurological problems such as stroke and multiple sclerosis. This neuroprosthetic device is frequently used to assist walking by treating a condition called Drop Foot, a result of paralysis of the pretibial muscles. This study proposes a two-channel FES device called the SmartStim, which has the ability to modulate its stimulation levels according to various obstacles such as stairs and ramps. This system employs a sensor-based module with a Recurrent Neural Network to classify these different walking scenarios. The module is built with Inertial Measurement sensors embedded in a pair of shoes, and the Recurrent Neural Network uses data from these sensors to predict various obstacles as the user is walking. These predictions are then used by a Fuzzy Logic Controller to control and regulate the stimulation current in two channels of the SmartStim system. In the two channels of the system, one channel will help aid with drop foot, while the other will be used to stimulate another muscle group to help access stairs and ramps by the user. The Recurrent Neural Network module in this system has been trained and tested using the k-fold cross-validation. The evaluation of this trained model shows that it can predict obstacles from sensor data at 97 percent accuracy. Currently, further testing is being performed to assess the workings of the fuzzy logic controller in combination with the Recurrent Neural Network in healthy individuals. It is expected that the SmartStim system may aid users in accessing various walking scenarios more efficiently.
Properties of sodium molybdate-based compound corrosion inhibitor for hot-dip galvanized steel in marine environment
Authors: Xu Zhenkai , Chen Lian , Han Jingliang , Zhu Chengfei 
Published: January 2023

Abstract
Sodium molybdate (Na2MoO4) was selected as the corrosion inhibitor, compounded with benzimidazole, in order to prolong the service life of the hot-dip galvanized steel (HDGS) in the marine environment in this article. XRD, SEM/FESEM and EDS were used to characterize the micro-morphology and elemental composition of HDGS. Immersion corrosion test, Tafel polarization and EIS test were carried out to study the effect of compound inhibitor on the corrosion resistance of HDGS in the marine environment. The best proportion of compound inhibitor was added to the self-made waterborne polyurethane coating (WPUC), aiming to evaluate its influence on the coating performance in the marine environment by immersion corrosion test and EIS test. The results showed that Na2MoO4, as a passivation type corrosion inhibitor, bounded Zn at the active sites of HDGS coupons and created structural defects. Benzimidazole, as an adsorption type corrosion inhibitor, was attracted by electricity and adsorbed at the structural defects. Under the premise of 1 wt% total content, the optimal ratio of Na2MoO4 & benzimidazole was 9:1 and the corrosion inhibition efficiency was 99.62%. The corrosion current density of HDGS in the simulated seawater with compound inhibitor was 5.650 × 10−8 A/cm2, while that of HDGS in the simulated seawater without compound inhibitor was 1.483 × 10−5 A/cm2. The WPUC containing compound inhibitor had a small decrease in corrosion resistance due to defects created by doping at the beginning of immersion, then the compound inhibitor would play an active role in the corrosion process to make more than double the service life of WPUC.
Crude extract from Euphorbia prostrata extended curative period of glibenclemide in alloxan-induced diabetic rats
Authors: Parvez Mohammad , Hussain Farrukh , Khan Murad 
Published: January 2023

Abstract

Objectives

Euphorbia prostrata is traditionally used alongside antidiabetic agents to manage diabetes. Bioactive ingredients of medicinal herbs may alter the overall pharmacokinetics of antidiabetic agents.

Methods
We assessed hypoglycemic activities of ethanolic plant extract (EPE) singly and its effects on antidiabetic properties of gliclazide, glibenclemide and metformin in allaxonized rats. Varying concentrations of EPE (250 and 500 mg/kg) with or without metformin (10 mg/kg), glibenclemide (2 mg/kg) and gliclazide (5 mg/kg) were orally administered to evaluate herb-drug interaction.

Results
The levels of blood glucose declined significantly after treatment with metformin, glibenclemide and gliclazide singly (p<0.01) or concomitantly with EPE (p<0.001). Concentration dependent mild to moderate reduction (5.2 and 10.0%) was registered in blood glucose for 250 and 500 mg/kg of EPE respectively. The overall reduction in blood glucose due to combined treatment with EPE and standard agents was additive. On the other hand, synergistic herb-drug interaction was registered for insulin levels in rats that received glibenclamide and gliclazide alongside EPE. Extract with metformin had antagonistic insulin outcome. Regarding the duration of hypoglycemic activities, periodical changes were similar in case of glibenclamide and gliclazide separately or in combination with EPE. However, in case of metformin with extract, the blood glucose continued to decline for 14 h and retained at 15.0% below the baseline values even after 24 h of treatment.

Conclusions
In conclusion, the extract itself had weak hypoglycemic effects but prolonged the therapeutic duration of metformin to more than 24 h when administered combinedly.
Evaluation of serum telomerase activity in normal-weight young girls with polycystic ovary syndrome and its relation to metabolic parameters
Authors: Unlu Cemal , Guney Gurhan , Tugrul Ersak Duygu , Kosem Arzu , Tarlan Nurten , Tokmak Aytekin 
Published: January 2023

Abstract

Objectives
This study investigated the discriminative value of serum telomerase levels in polycystic ovary syndrome (PCOS) and its relation to metabolic parameters.

Methods
Patients aged 16–23 years old who visited an adolescent outpatient clinic were included in the study. Our study consisted of 45 non-obese girls with polycystic ovary syndrome (PCOS), while our control group consisted of 45 healthy girls with normal menstrual cycles and no signs of hyperandrogenism. During the early follicular phase, all individuals were analyzed for serum telomerase levels, blood cell count, biochemical parameters, basal hormone levels, lipid profile and homeostatic model assessment of insulin resistance (HOMA-IR) index.

Results
Serum telomerase levels in PCOS patients were considerably lower (80.0 ± 52.8 IU/mL) than in the controls (113.1 ± 54.9 IU/mL) (p=0.004). We observed that blood telomerase levels less than 108.6 distinguished PCOS group from healthy controls with a sensitivity of 73.33% and a specificity of 57.78%. Low-density lipoprotein cholesterol, HOMA-IR index, Ferriman–Gallwey score and dehydroepiandrosterone sulfate values were higher in the study group. Moreover, serum telomerase levels were inversely correlated with body mass index (r=−0.339, p=0.023) and triglycerides (r=−0.511, p=0.002) in this group. Telomerase levels were also considerably lower in patients with metabolic syndrome (p=0.005).

Conclusions
Serum telomerase activity is lower in PCOS patients than in healthy controls. Furthermore, decreased serum telomerase levels may correlate well with the metabolic complications of PCOS.
Ambience and nature in travel writing: An ecostylistic study ofThe Old Patagonian ExpressandEastward to Tartary
Authors: Alarcón-Hermosilla Salvador 
Published: January 2023

AbstractThe present paper explores descriptions of natural landscapes excerpted from two travel books, namely,The Old Patagonian Express: By Train through the Americas, by Paul Theroux, andEastward to Tartary: Travels in the Balkans, the Middle East and the Caucasus, by Robert D. Kaplan. The paper aims at analyzing how certain linguistic choices in a given stretch of text conspire to construe the ambience of descriptive passages of natural landscapes in travel writing. This will be carried out by combining insights from Conceptual Metaphor Theory (CMT) and Frame Semantics (FS). I will be focusing on the ambience of the natural depictions, that is, the sense of the natural world evoked in the reader’s mind by the language of the text. This will be dealt with by examining the lexical choices made by both authors, paying special attention to the adjectives. The excerpts under investigation have been selected since the descriptive language in them evokes frames and conceptual domains, which, in turn, yield a series of metaphors. These metaphors summarize the tone of the travel books, that is, the authorial texture and, especially, the ideological stance of the authors. Paul Theroux displays a more empathetic approach to the surrounding nature and its people, whereas Robert D. Kaplan adopts a more distant, analytical stance.
Data transmission mechanism of vehicle networking based on fuzzy comprehensive evaluation
Authors: Zhang Hongtao , Zhang Liancheng , Guo Yi , Wang Zhenxing 
Published: January 2023

Abstract
Because the communication link connection in the Internet of Vehicles is transient and intermittent, the established connection may be disconnected at any time, which cannot meet the requirements of the data transmission of the Internet of Vehicles. Therefore, based on the traditional data transmission mechanism, the fuzzy comprehensive evaluation method is used to achieve the optimal design of the data transmission mechanism of the Internet of Vehicles. First, according to the operation mechanism of the Internet of Vehicles build the Internet of Vehicles model. Then in this model, the fuzzy comprehensive evaluation is used to analyze the data transmission characteristics of the Internet of Vehicles, and the characteristics evaluation results of data transmission are obtained. Finally, set the data transmission protocol of the Internet of Vehicles, select the appropriate data transmission path, allocate the data transmission load, and realize the data transmission of the Internet of Vehicles. The experimental results show that compared with the traditional data transmission mechanism of the Internet of Vehicles, the speed of the designed transmission mechanism is increased by 3.58 MB/s, and the packet loss rate is reduced by 41%.
Bio-inspired building blocks for all-organic metamaterials from visible to near-infrared
Authors: Holder Samuel Thomas , Estévez-Varela Carla , Pastoriza-Santos Isabel , Lopez-Garcia Martin , Oulton Ruth , Núñez-Sánchez Sara 
Published: January 2023

Abstract
Light-harvesting complexes in natural photosynthetic systems, such as those in purple bacteria, consist of photo-reactive chromophores embedded in densely packed “antenna” systems organized in well-defined nanostructures. In the case of purple bacteria, the chromophore antennas are composed of natural J-aggregates such as bacteriochlorophylls and carotenoids. Inspired by the molecular composition of such biological systems, we create a library of organic materials composed of densely packed J-aggregates in a polymeric matrix, in which the matrix mimics the optical role of a protein scaffold. This library of organic materials shows polaritonic properties which can be tuned from the visible to the infrared by choice of the model molecule. Inspired by the molecular architecture of the light-harvesting complexes of Rhodospirillum molischianum bacteria, we study the light–matter interactions of J-aggregate-based nanorings with similar dimensions to the analogous natural nanoscale architectures. Electromagnetic simulations show that these nanorings of J-aggregates can act as resonators, with subwavelength confinement of light while concentrating the electric field in specific regions. These results open the door to bio-inspired building blocks for metamaterials from visible to infrared in an all-organic platform, while offering a new perspective on light–matter interactions at the nanoscale in densely packed organic matter in biological organisms including photosynthetic organelles.
Packaging Global Warming Products: The CIS Strategy as a Driver of Gen Z’s Satisfaction and Loyalty
Authors: Antoniades Nicos 
Published: January 2023

Abstract
Social marketing is all about creating, communicating, and delivering value to selected target markets; this value benefits society via the solution of major issues such as public health, safety, the environment, etc. Sadly, it seems that political mismanagement has created long-lasting or permanent ecological damage, a major public issue. Ecological environment issues impact future generations and humankind’s quality of life. This study aims to answer a crucial question: What do the political players due to help solve this problem? According to The CIS Model1, a government, a political party, or a politician not only need to create a political product (idea/proposal) but also needs to inform people about the product and support it. Given that The CIS Model is new, no studies were found to examine how a government can use The CIS Model as a strategy to advance Global Warming solutions for the benefit of the young generation (Generation Z). A sample of 205 adults aged 18–25 (Generation Z) from the USA, Europe, Asia, and Africa participated in the current study. According to the results of this study, the more a government uses The CIS Strategy to package global warming products, the higher Generation Z’s satisfaction (SFC), and the higher Generation Z’s loyalty to the government (LYT). The current study provides managerial implications and directions for future research.