bluuebunny/crossref_metadata_2025_split huggingface dataset:
Neurological Predictors of Functional Outcome in Cortical Venous Sinus Thrombosis
Authors: Aarju Gagneja , Birinder Singh Paul , Vipin Kumar , Alisha Saxena , Gunchan Paul 
Published: March 2022

Abstract

Objectives Cerebral venous sinus thrombosis (CVST) has a wide clinical spectrum. Despite favorable prognosis, identifying CVST patients with a possible poor functional outcome can be challenging. This study aims to establish the neurological predictors of outcome in CVST.

Materials and Methods We analyzed 70 patients of CVST and categorized them into three groups: Group I with isolated intracranial hypertension; Group II—focal syndrome of neurological deficit; Group III—subacute encephalopathy. Demographic, disease characteristics, and radiological parameters were also analyzed for prediction of hospital course. Functional outcome was assessed by modified Rankin scale (mRS) dichotomized as good (mRS: 0–2) or poor outcome (mRS ≥ 3).

Statistical Analysis Univariate and multivariate logistic regression analyses were performed to find out the independent effects of prognostic factors to be used for outcome prediction.

Results The mean age was 36.71 ± 14.9 years with 40 (68.8%) males. Most common presenting complaints were headache 35 (50%), hemiparesis 14 (20%), and seizures 12 (17.4%). Group I included 44 (62.9%), group II 17 (24.3%) and group III 12 (12.9%) patients. During hospitalization 28 (40%) patients needed intensive care unit (ICU) care, among them 7 (10%) required ventilation. There were eight times more chances of ICU care (odds ratio [OR]: 7.4; 2.5–24.4) and 23 times more need for ventilation (OR: 23; 2.5–88.9) whenever patients were in group II or III. Good outcome (mRS < 2) was noted in 52 (74.2%) patients. Headache was associated with good functional outcome, whereas hemiparesis with poor outcome. Neurological grouping was the independent predictor of functional outcome; patients with focal neurological deficit (group II) were 20 times more likely to have dependent life at the time of discharge (p < 0.05) with the mortality rate of 2.9%.

Conclusions Neurological grouping is a practical tool for prediction of function outcomes. Early anticipation of prognosis helps in decision-making in the clinical practice.
A New Generation of Osteochondral Autograft Transfer System for the Treatment of Osteochondritis Dissecans of the Femoral Condyle: Clinical Experience in 18 Dogs
Authors: Cinti Filippo , Vezzoni Luca , Vezzoni Aldo 
Published: March 2022

Abstract
Objectives The aim of this study was to describe the clinical application and outcome of osteochondral autograft transfer using the COR system (COR; DePuy Synthes, Warsaw, Indiana, United States) for the treatment of osteochondritis dissecans (OCD) of the femoral condyle in dogs.
Methods Medical records of dogs that were treated for OCD of the femoral condyle using the COR system between February 2013 and March 2020 were retrospectively reviewed. The results of pre- and postoperative clinical and radiographic examinations were evaluated.
Results Twenty stifles (18 dogs; 15 lateral and 5 medial femoral condyles) met the inclusion criteria. A single graft transfer was done in six stifle joints and mosaicplasty in 14 (2 grafts in 9/14 stifles; 3 grafts in 5/14 stifles). Proper anatomic reconstruction was confirmed intraoperatively and radiographically in all dogs. There were no major and three minor postoperative complications. At 3 months, 15 of 20 stifles (14 of 18 dogs) had no lameness or radiographic signs of inflammation. At 6 months, 12 of 13 dogs had no lameness or discomfort, and four of 13 stifles had radiographic evidence of moderate osteoarthritis.
Clinical Significance Treatment of OCD of the femoral condyle using the COR system is feasible in dogs, with low complications and provides a satisfactory short-term outcome.
Tc-99m-PSMA-SPECT/CT Is Superior to Tc-99m-MDP-SPECT/CT in the Staging of Prostatic Cancer with Osseous Metastases after External Beam Radiotherapy
Authors: Liepe Knut , Baehr Marcel 
Published: March 2022

AbstractIn the reported patient with advanced prostate cancer, a bone scan showed a false positive finding in thoracic vertebrae bone metastasis after external beam radiotherapy 2 months ago. An additional Tc-99m-prostate-specific membrane antigen scan showed a negative finding, although nonirradiated iliac bone metastasis was concordantly positive in both scans. The decrease in prostate-specific antigen-level from 156.6 ng/mL to 2.3 ng/mL indicates a strong effect of treatment, hence supporting false positivity in bone scan by flare phenomenon.
A reassessment of the association between political interest and electoral participation: adding vote overreporting to the equation
Authors: Goldberg Andreas C. , Sciarini Pascal 
Published: March 2022

AbstractElectoral participation research points to political interest as a strong and consistent predictor of voting, but overlooks the propensity of interested people to overreport in surveys. Vote validation studies demonstrate that vote overreporting exaggerates the association between political interest and turnout, but fails to highlight the pathways through which this bias occurs. To fill this gap and link these two strands of literature, we take a closer look at the relationships between political interest, likelihood of voting (as defined by one's actual voting record), and participation in given vote, while taking care of overreporting. Applying causal mediation models to a unique set of validated vote data, we show that themodus operandiof overreporting is both direct and indirect: A portion of politically interested people overreport their vote regardless of whether they usually vote or not. Yet, the indirect path also matters: Another portion of interested people do vote frequently, which prompts them to overreport if they for once abstain. This is consequential for the commonly found association between political interest and turnout.
Sparsity and stability for minimum-variance portfolios
Authors: Husmann Sven , Shivarova Antoniya , Steinert Rick 
Published: March 2022

AbstractThe popularity of modern portfolio theory has decreased among practitioners because of its unfavorable out-of-sample performance. Estimation risk tends to affect the optimal weight calculation noticeably, especially when a large number of assets are considered. To overcome these issues, many methods have been proposed in recent years, but only a few address practically relevant questions related to portfolio allocation. This study therefore uses different covariance estimation techniques, combines them with sparse model approaches, and includes a turnover constraint that induces stability. We use two datasets of the S&P 500 to create a realistic data foundation for our empirical study. We discover that it is possible to maintain the low-risk profile of efficient estimation methods while automatically selecting only a subset of assets and further inducing low portfolio turnover. Moreover, we find that simply using LASSO is insufficient to lower turnover when the model’s tuning parameter can change over time.
First principles of Fe/Co/Ni doping and the coexistence of O vacancy in the magnetic and optical properties of rutile TiO2(110) surface
Authors: Zhang Zhenduo , Hou Qingyu , Qi Mude , Sha Shulin 
Published: March 2022

Abstract
The research on the photocatalytic properties of TiO2 by doping transition metals (Fe/Co/Ni) has achieved certain progress. However, the effects of Fe/Co/Ni doping and the coexistence of O vacancies on the photocatalytic properties of TiO2 have been rarely reported. Oxygen vacancies are the most common point defects in TiO2 materials, and the precise control of O vacancies in experiments presents difficulty. To solve this problem, this study used first principles under the framework of density functional theory to investigate the effects of Fe/Co/Ni doping and the coexistence of O vacancies on the magnetic and optical properties of rutile TiO2(110) surface. The findings indicated that the formation energy of the (110) surface of rutile TiO2 doped with transition metals Fe, Co, and Ni and coexisting with O vacancies was smaller under Ti-rich conditions than under O-rich conditions. Under Ti-rich conditions, the doping system easily formed and exhibited a high stability. The findings on magnetic properties indicated that the Fe/VO-TiO2, Co/VO-TiO2, and Ni/VO-TiO2 systems all exhibited magnetism on the (110) surface. The Fe/VO-TiO2(110) surface had the largest magnetic moment and the best magnetic properties. The study of optical properties showed that the Fe/VO-TiO2(110) surface had the longest carrier lifetime, strongest surface activity, and most evident red shift in the absorption spectrum. The oxidation capability of the Fe/VO-TiO2(110) surface was relatively the best. Fe doping and the coexistence of O vacancies are the most beneficial to the photocatalysts for the production of O2 by dissociation of water on the surface of rutile TiO2(110).
Effectiveness analysis of Maikuben brown coal combustion in the heating boiler “Kamkor-300”
Authors: Atyaksheva A V , Atyaksheva A D , Ryvkina N V , Yermekov M T , Rozhkova O V , Smagulov A S 
Published: March 2022

Abstract
This research presents the results of studying the efficiency of Maikuben brown coal combustion in low-power heating boilers using the case of the Kamkor-300 boiler. Improving the combustion efficiency of low-grade fuels is directly related to fuel economy and the decrease of toxic emissions into the atmosphere. The research results show the possibility of adjusting the boiler according to the “fuel-air” ratio in the furnace volume, without violation of its general heat exchange structure and changing the heat-transfer operation in the device. In the research the adjustment of the operation of a long-burning boiler with an upper air supply in order to increase the time of combustion gases dwell in the boiler furnace volume drum is proposed. It is also possible to reduce the excess air coefficient to 0.55 and to operate the boiler under conditions of oxygen deficiency. Under such conditions, in the presented boiler, additional synthesis gases are released during the combustion of low-grade coals, in particular of coal rank “B”, to obtain an additional thermal effect. The resulting thermal effect leads to an increase of the boiler efficiency and its operational and economic indicators.
Numerical analysis of the supply and exhaust ventilation effect on the local working area thermal conditions under radiant heating
Authors: Borisov B V , Maksimov V I , Nagornova T A , Vyatkin A V 
Published: March 2022

Abstract
The analysis of ventilation systems effect on the main parameters of thermal conditions (temperature and velocity of air mass movement) of the working area in the premises heated by a gas infrared heater (GIH) was made by numerical simulation. The specific zones of the working area are considered in detail. The main regularities of temperature field changes in the total volume of the premises and local zones of working area in the case of relatively small air exchange made by ventilation system have been established.
Developing simulation approaches: a simple case of emulation for logic validation using tecnomatix plant simulation
Authors: Delgado Sobrino D R , Ružarovský R , Václav Š , Cagáňová D , Rychtárik V 
Published: March 2022

Abstract
Over the years, simulation and simulation tools have provided industry and many other sectors with an incredible number of options for the improvement of their processes. Together with the development of new technologies and industrial practices, simulation has also evolved leading to the new solution approaches, which are used in the context of the current industrial era or Industry 4.0. The present paper presents a take on the evolution of simulation leading up until Simulation 4.0 and some of its defining elements. Special emphasis is made in some of the approaches in this context as it is the case of the Emulation models or Digital Twins and the Virtual Commissioning ones. The paper also includes a simple application example that presents a developing simulation approach as it is the case of the emulation for logic validation. This is done from the optics of Tecnomatix Plant Simulation, which is a promising fast evolving tool offering not only great 3D capabilities but also sound analytics of the simulated instances.
Setting up new standards in aviation industry with the help of artificial intelligent – machine learning application
Authors: Andrei A G , Balasa R , Semenescu A 
Published: March 2022

Abstract
In these times, dominated by innovation, technology is an important asset in optimizing maintenance, aircraft operations and even the investigation process of aviation accidents, with unprecedented results so far. All the information related to an aircraft, generated over time, can be included in a database, in order to be analyzed for better technical insights. The same approach can be applied in analyzing evidence and reports generated after an aircraft accident occurred. Aircraft investigation involves tones of hard-working hours and evidence analysis. This research aims to identify a new tool to improve the investigation process of aircraft incidents caused by human factors errors. Using artificial intelligence to process the resulted evidence during the aircraft accidents investigation, will shed light on the root cause of the incident much faster. Accelerating an investigation means huge benefits for all parties involved. In this sense, a proof-of-concept software has been developed to emphasize the power of artificial intelligent in the aircraft accidents investigation. Using machine learning algorithms, a program was trained with data, to develop an application capable of automatically determining the root cause of an accident based on witness statements. All data was derived from the Aviation Safety Reporting System database from the U.S, which was queried for incidents, occurred between 2000 and 2020. This application is not only about automating a stage in an aircraft accident investigation, is rather about setting up new standards in aviation industry with the help of artificial intelligence.
Analysis of dynamic effect on the structure of selected construction elements of mobile stage
Authors: Kałaczyński T 
Published: March 2022

Abstract
This paper presents the comparison of experimental analysis results conducted on modal truss, which is corresponding to essential elements of typical mobile stage using in entertainment industry. The analysis of research object’s dynamic properties aims to determine the structure susceptibility to dynamic effect, which in the case of mobile stages mainly occurs during movement. Therefore, determining the dynamic properties will facilitate the assessment of the suitability of a selected modal method in terms of its applicability to predicting the behavior of the entire construction during its normal exploitation.
Investigation of functional characteristics of composites used for brake pads
Authors: Pinca-Bretotean C , Sharma Arun Kumar , Josan A 
Published: March 2022

Abstract
The friction material used for the brake pads should have a low wear rate, outstanding thermal stability to hold the braking properties of the vehicle and coefficient of friction should constant under different operating conditions which include loads which applied, temperature, dry or wet braking environment and speed. Due to this reason, every newly developed friction material’s fabrication should undergo a series of experimental tests to evaluate the friction as well as wear properties. In this article a study of frictional and wear behavior of friction material for ecological brake pads of road vehicles discussed. In the formulation of the friction material shells as a filler, a small amount of metal, silicon carbide, graphite, resin and hexametiltetramine were used. The main objective of the paper refers to the investigation of the impact of the working regime on friction material’s tribological characteristics. In this sense, were studied the evolution of the coefficient of friction and the thermal field at the contact surface between the friction couplings, the influence of load on the friction coefficient at different speeds and the influence of load on wear rate at a constant speed. The knowledge of the functional properties of the newly developed friction material produced in the laboratory provides the possibility of pertinent assessments regarding the durability of the brake pads during operations, as well as on the quantity of wear products released into the atmosphere. The results concluded that as a filler material this species of shells may be used in the fabrication of brake pads for road vehicles.
Developments of discontinuously reinforced aluminium matrix composites: Solving the needs for the matrix
Authors: Bulei C , Stojanovic B , Utu D 
Published: March 2022

Abstract
Metal matrix composites become interesting for use as constructional and functional materials. The development of metal matrix composites was primarily directed to the continuous-fibre reinforced metal matrix composites - such as boron fibre/aluminium-based matrix, continuous alumina fibres /aluminium-based matrix, graphite fibre/aluminium-based matrix or graphite fibre/magnesium-based matrix composites. Despite the successful production of these metal matrix composites, they manufacturing was limited by the concerns related to the technological processes and cost, their availability remaining a significant barrier to their manufacturing. The benefits of metal matrix composites as compared to the unreinforced (monolithic) metals or alloys include superior mechanical and physical properties that deliver improved structural performance. This concept also further implies re-using materials or using recycled materials. Therefore, discontinuously reinforced metal matrix composites are suitable for a wide range of industrial applications. This study aims to investigate the developments in area of solving the needs for the matrix material necessary for the discontinuously reinforced aluminium matrix composites. Aluminium can be recycled directly back into itself over and over again in a true closed loop.
Composite solutions with recycled textile wastes
Authors: Todor M P , Rackov M , Kiss I , Cioata V G 
Published: March 2022

Abstract
Textile waste amounts represent a remarkable issue whether they are produced during production and processing of textile materials, such as production waste and excesses (industrial or pre-consumption), or at the end-of-life of products, once it had been sold and used (post-consumer materials). Whereas pre-consumer textiles can be easier recycled because we know their general composition and sources, post-consumer textiles often consist of different materials that need to be taken apart to be regenerated. Valuable resources held within the waste are also lost. Having in view that 50% of collected clothing is re-wearable, and the rest could be recycled, a particular attention have to be given to recycling processes for both products and waste, aiming at reintroducing them in a new industrial process, through new manufacturing ways, and so, starting a new life-cycle. The textile reuse and recycling, in general, reduce environmental impact compared to incineration and landfilling. There are different approaches to be used and different ways to identify suitable technologies that could lead product manufacturing towards a remarkable reduction of production costs, while considering recyclable materials as a real and efficient alternative. Among them, there are technologies for waste recovery, which transforms textile waste into secondary raw materials, creating circularity and reducing environmental impact. Studies have shown that different textile waste can be used in composite solutions. This type of reinforcements has become a major research subject in recent years. This study aims to investigate the composite solutions with recycled textile waste.
Radioactive source localization using a data driven MVA method
Authors: Kyriakis A. , Karafasoulis K. , Zampetaki O. 
Published: March 2022

Abstract
We present a small form factor (0.5 cm3) static CdZnTe (CZT) sensor network consisted of a number of Non Directional Detectors (NDD) capable to localize a stationary radiation source in 3D. The localization is performed with fusion algorithms based on AI techniques. The algorithms are based on Multilayer Perseptron Neural Network (MLP) and Gradient Boosted Decision Trees (BDTG). A data driven method based on experimental data was used to produce the events for both training and testing of the algorithms. The localization efficiency of the algorithms was verified with a different set of experimental data taken in our laboratory using a 137Cs source of 180 μCi. A localization resolution of a bare radioactive source of the order of 10 cm to 20 cm has been archived in 3D after at least of 40 sec exposure time within a monitored volume of 5 m × 2.8 m × 2 m. The localization of slightly shielded sources in 3D can be also achieved but with a hardly worse resolution.
MiniPIX Timepix3 — a miniaturized radiation camera with onboard data processing for online characterization of wide-intensity mixed-radiation fields
Authors: Granja C. , Jakubek J. , Soukup P. , Jakubek M. , Turecek D. , Marek L. , Oancea C. , Gohl S. , Bergmann B. , Pospisil S. , Malich M. , Vuolo M. , Owens A. , Zach V. , Stursa J. , Chvatil D. , Olsansky V. , Rucinski A. , Gajewski J. , Stasica P. , Vykydal Z. , Solc J. 
Published: March 2022

Abstract
The miniaturized radiation camera MiniPIX TPX3 is designed for detailed and wide-range measurements of mixed-radiation fields present in many applications such as radiotherapy and space radiation in outer orbit. The highly integrated instrumentation utilizes a single connector for control and readout for flexible measurements and quick deployment. The device features an option to process the registered data on the same device with limited resolution and basic particle-type resolving power. A novel readout and data processing technique exploits the detector high granularity and double per-pixel signal electronics to measure and characterize radiation fields of high intensity over a wide range with basic particle-type discrimination.
Developing an accurate and robust tool for pixel module characterization
Authors: Hohov D. , Lounis A. , Falou A. , Gkougkousis E.-L. , Bassalat A. 
Published: March 2022

Abstract
For operation at the High Luminosity Large Hadron Collider
(LHC), the ATLAS experiment is building a new all-silicon inner
tracker (ITk). The production and testing of thousands of silicon
pixel and strip modules is required to cover the estimated
180 m2 of the total surface area. A compact, affordable and
robust module characterization system is required for in-situ
testing prior any test beam campaign or installation. A test bench
setup based on an infrared laser was developed at IJCLab, allowing
also for the use of micro-metric precision scanning with a
radioactive source. A detailed schema of the setup, operating
principles and testing methods are described in this paper, together
with the first results obtained with a FE-I4 silicon pixel module.