Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving the Self-Explaining Performance of Czech National Roads

Improving the road network according to the principles of self-explaining roads is a promising way to increase the level of safety; however, there are no universal guidelines on how to measure and improve the self-explaining performance of existing roads. To apply this approach on Czech national roads, the present study was conducted, consisting of five steps: (a) automated segmentation into tangents and horizontal curves; (b) collection of floating car data and calculation of speed; (c) development of multivariate speed models for estimation of speed, including on segments not covered by floating car data; (d) networkwide application of the models and evaluation of speed consistency, such as differences in speeds on tangents and following curves; and (e) identification of substandard curves, and categorization and proposal of optimization for consistent placement of traffic control devices or reconstructions. The paper describes all the steps as well as several checks conducted along the way, such as comparison of profile speed and floating car speed, interpretation of regression models, and validation of predicted speed consistency against long-term average crash frequency. The methodology has been certified for use in practice and will be applied by the Czech national road agency.
Psychometric Properties of the Spanish-language Version of the Interpersonal Mindfulness in Parenting (IM-P) Scale among Mothers of Preschool Children in Chile

DOI: 10.21615/cesp.5820 ISSNe: 2011-3080 Abstract The Interpersonal Mindfulness in Parenting (IM-P) scale is one of the first measures that specifically assesses mindful parenting, a specific application of mindfulness, that has been defined as paying attention to your child and parenting in a particular way, intentionally, in the present moment, and non-judgmentally. Psychometric properties of a Spanish-language version of the IM-P scale were examined in a sample of 111 mothers of preschool-age children living the two measures (r=0.73, p<0.01), and among almost all subscales. In general, the results present sound psychometric properties of the Spanish translation of the IM-P in Chilean mothers of preschool children.
Rate Splitting in the Presence of Untrusted Users: Outage and Secrecy Outage Performances

In this contribution, a thorough investigation of the performance of rate splitting is conducted in terms of outage and secrecy outage for the simultaneous service to a near user and far user, where the latter attempts to overhear the message of the former. The source transmits a linear combination of the users’ common stream and private streams. Once the common stream is retrieved, two decoding strategies can be adopted by each user. In the first strategy, the nodes (near or far) treat the far user’s private stream as noise to retrieve the private stream of the near user, then the far user decodes its own stream. In the second strategy, the nodes decode the far user’s private stream by treating the one of the near user as noise, then the near user retrieves its private stream while the far user decodes the stream of the near user in its attempt to overhear it. Considering the four decoding combinations, we obtain exact closed-form expressions for the outage probability, and provide tight approximations for the secrecy outage probability. Comparative results are also provided. In particular, it is shown that to achieve better outage probability, with no concern about secrecy, once the decoding of the common stream is completed, each user should first retrieve the private stream with lower target data rate by treating the other private stream as noise. To improve the secrecy outage probability, once the common stream is decoded, the near user must first decode the far user’s private stream, and the far user should first retrieve the private stream with lower target data rate.
Performance of Multiuser Downlink Cell-Free Massive MIMO Systems with Hard Deadlines

Cell-free massive MIMO (mMIMO) is expected to be a novel network architecture to support massive connections, ultra-high transmission rate, and ultra-reliability low-latency transmission. Therefore, applications in ultra-reliable low-latency communications (URLLC) can be served by the cell-free mMIMO network in the future. This paper considers a multiuser downlink cell-free massive MIMO communication system and defines two events to evaluate the system’s failure in latency and reliability performance of the transmission. The first kind of event is defined as Transmission Error, where the value of the downlink rate becomes too high to be supported by the channel between the access points (APs) and user equipments (UEs), while the second event is defined as Time Overflow, where the time of packet delivery violates the hard deadline. The probabilities of these events can help evaluate the URLLC performance of the system because the probability of Transmission Error reflects the reliability of the transmission while the probability of Time Overflow reflects the latency of the transmission. We derive the expressions of the probabilities of these two events and the final probability system outage, with maximum ratio transmission (MRT) and zero-forcing (ZF) precoding, based on the properties of Gamma distribution and the approximation for non-isotropic vectors. We finally provide the numerical results by system-level simulations to show that the expressions are accurate and discuss the influence of the noise variance, the number of UEs, and the precoding scheme on the URLLC performance.
Enhancement of fiber attenuation and filtration quality via electrostatic-induction-assisted melt blowing

Melt-blown nonwovens with smaller fiber diameters and fewer roping defects are good candidates for air filtration. However, there have been few publications of experimental work reducing the fiber diameter and improving the roping defects of melt-blown nonwovens at the same time. Here, we reported an electrostatic-induction-assisted melt-blowing (EIMB) process by introducing an induced electrostatic field to the conventional MB process. The EIMB process is based on a commercial process without interfering or charging the polymer jet before spinning. Therefore, the production efficiency of the EIMB process is the same as the conventional MB process. The numerical simulation method was employed to investigate the effects of the electrode width on the melt-blown airflow field since the electrode width is a critical parameter that affects the stability of the MB airflow field. Benefiting from the introduction of the electrostatic field, melt-blown nonwovens with smaller fiber diameters and fewer roping defects were obtained using the EIMB technology. Compared to the conventional MB process, the EIMB process dramatically improved the filtration performance and reduced the energy consumption.
Watching embryos: exploring the geographies of assisted reproduction through encounters with embryo imaging technologies

ABSTRACT New biomedical imaging technologies, which enable embryologists to observe the development of human embryos, are presenting new possibilities for the lived geographies of assisted reproduction. More specifically, these technologies produce novel visual representations of in vitro embryos that can be shared with fertility patients as a way to involve them in their treatment, and we explore how this imagery circulates in places and relationships beyond the fertility clinic with diverse effects. Drawing on empirical material from interviews with both patients and partners undergoing in vitro fertilisation (IVF) in the UK, this article critically examines how encounters with embryo imagery create spatially and temporally extended as well as intimate relationships between people and a particular kind of reproductive bioinformation. Through this, we advance geographical approaches to embodied encounters with assisted reproductive technologies, biomedicine and bioinformation, as well as social and cultural conceptualisations of the mobilities of extracorporeal embryos and their visual representations. Patients and partners’ engagements with a new form of reproductive bioinformation provide important insights into the making of new reproductive knowledge and experience.
Self-transcendent dispositions and spirituality: the mediating role of believing in a benevolent world

ABSTRACT The considerable connection between religiosity/spirituality and positivity in life in general has been widely demonstrated. However, preliminary evidence has shown that when also a cognitive component is included, the direction of this relationship seems to emerge more clearly. Specifically, the differential pathways linking specific positive self-transcendent (ST) experiences and religiosity/spirituality is still an open issue. In this study, we explored the cognitive pathways linking general ST to spirituality and religiosity, via basic beliefs. The results obtained were partially in line with the existing literature. Notably, being a believer or not did not affect the emotional side but only the cognitive one.
TALENT MANAGEMENT IN THE PERIOD OF RECESSION MANAMENT TALENTOV V OBDOBÍ RECESIE

Papers deals with talent and talent management in the period of recession which is today reality. Pointed out are definitions of crisis, talent and talent management, and consequences of crisis on human resources generally and especially on selected group of employees-talents. Described are methods of staff reduction with aim to minimize negative impact on employees and on the organization. Relation between human resource management and talent management is given. Stated are rules how to keep best employees. Abstrakt. Prispevok sa zaobera problematikou talent a manamentu talentov obdobi recesie, ktora je realitou týchto dni. Uvedena je definicia krizy, talent a manamentu talentov a dopady krizy na ľudske zdroje vseobecne a obzvlasť na specificku skupinu zamestnancov - na talenty. Popisane su metody redukcie stavov s cieľom minimalizacie negativnych dopadov na zamestnancov a organizaciu. Rovnako je uvedený vzťah medzi riadenim ľudských zdrojov a manamentom talentov. Uvedene su aj pravidla pre udranie najlepsich zamestnancov.
Development of a micro-simulation model for motorway roadworks with the use of narrow lanes and lane closure schemes

This study presents a newly developed micro-simulation model for motorway roadwork sections to evaluate the efficiency of different temporary traffic management schemes (TTMSs) such as the use of narrow lanes, offside and inside lane closures. The effect on traffic performance (i.e. capacity and delay) of various parameters (e.g. flow rates, percentage of heavy goods vehicles, roadwork zone lengths and speed limits) has been tested. The reason for building this model from scratch is the inability of an industry standard software package (i.e. S-Paramics), which has been made available for this research, in appropriately presenting traffic behaviour at motorway roadwork sections. The newly developed micro-simulation model was built using the FORTRAN programming language. It was developed based on car-following, lane changing, gap acceptance, lane closure and narrow lanes rules. Data from four sources (taken from different sets of data from UK motorways sites) were collected and analysed. The data was used in developing, calibrating and validating the model. Observations from motorway roadwork sites with narrow lanes scheme show certain prominent drivers’ behaviours, namely avoiding passing HGVs on adjacent lanes and lane repositioning before passing an HGV. The simulation results revealed that, under low traffic demand, the use of narrow lanes scheme seems to perform better in terms of capacity and delay than both offside and inside lane closure schemes, whereas under high traffic demand associated with high HGVs percentage (i.e. ≥ 25%), the use of offside lane closure scheme seems to perform better in terms of capacity and delay than narrow lanes scheme and inside lane closure scheme. The simulation results showed that the presence of HGVs has a large impact on reducing site capacity. The model also suggests that a stricter speed limit compliance should be imposed on motorway roadwork sections with the use of narrow lanes TTMS in order to maintain higher section capacity and reduced delays. Regression analysis was carried out based on the simulation results in order to provide equations for use in estimating section capacity and delay.
DETERMINANTS OF COMMUNITY INTEREST IN TRANSITING IN SHARIA BANKING

The financial industry has an important role in a country's economy, the industry referred to in this case is the Islamic banking industry. This study aims to determine the determinants of interest in transactions in Islamic banking through aspects of attitude, subjective norms, perceived behavioral control and religiosity. With BRI Syariah Purwodadi customer subjects using the questionnaire method. The results of this study indicate that the variables that show a significant positive influence on interest are the variables of attitude, subjective norms and religiosity. While the variables that do not have a significant influence are perceived behavior control variables.
New improved three-phase hybrid multilevel inverter with reduced number of components

A new three-phase hybrid multilevel inverter configuration is proposed. The proposed inverter is modular and consists of three single-phase H-bridge inverters, one three-phase H-bridge inverter and auxiliary modules for increasing the number of output voltage levels. The performance of the proposed inverter has been compared with some of the commonly used inverters within the literature in terms of the number of components, blocking voltage and overall losses. The proposed multilevel inverter has lower number of insulated-gate bipolar transistors and gate drivers and subsequently requires a relatively simple control strategy for generating the desired output voltage. Finally, the performance of the proposed inverter has been validated via a laboratory-scale prototype along with numerical simulation.
Psoriasis

Psoriasis is a common chronic inﬂammatory skin disease with a spectrum of clinical phenotypes and results from the interplayof genetic, environmental, and immunological factors. Four decades of clinical and basic research on psoriasis have elucidated many of the pathogenic mechanisms underlying disease and paved the way to effective targeted therapies. Here, we review this progress and identify future directions of study that are supported by a more integrative research approach and aim at further improving the patients’ life. This skin is me, I can’t get out. vivo animal models can be assessed and analyzed using conventional technologies measuring one or few parameters according to a preformed hypothesis, innovative high-throughput platforms, simultaneously measure many parameters according to a non–a priori hypothesis approach. Both strategies can lead to the identiﬁcation of a candidate biomarker, which coincides with one, several, or multiple markers leading to molecular signatures in the case of omics data. Whatever the discovery approach, the clinical translation of a biomarker will then require the successful achievement of the validation, qualiﬁcation, and approval process. Examples in the are from: Suarez-Farinas
The Effect of Thermally Robust Ballistic Mechanisms on Climatic Niche in Salamanders

Synopsis Many organismal functions are temperature-dependent due to the contractile properties of muscle. Spring-based mechanisms offer a thermally robust alternative to temperature-sensitive muscular movements and may correspondingly expand a species’ climatic niche by partially decoupling the relationship between temperature and performance. Using the ballistic tongues of salamanders as a case study, we explore whether the thermal robustness of elastic feeding mechanisms increases climatic niche breadth, expands geographic range size, and alters the dynamics of niche evolution. Combining phylogenetic comparative methods with global climate data, we find that the feeding mechanism imparts no discernable signal on either climatic niche properties or the evolutionary dynamics of most climatic niche parameters. Although biomechanical innovation in feeding influences many features of whole-organism performance, it does not appear to drive macro-climatic niche evolution in salamanders. We recommend that future work incorporate micro-scale environmental data to better capture the conditions that salamanders experience, and we discuss a few outstanding questions in this regard. Overall, this study lays the groundwork for an investigation into the evolutionary relationships between climatic niche and biomechanical traits in ectotherms.
Prevalence of Depression in Diabetes Mellitus and its Determinants

are common diseases. The World Health Or ganization projected that 300 million people will suffer from diabetes mellitus by 2025. India has the largest number of diabetic populations in the world and it is expected that there will be 69.9 million diabetic people in India by 2025. Depression is the most common psychiatric disorder. It is estimated that 340 million people are affected globally with this disorder, which is associated with significant morbidity and health-care cost. Depression is associated with physiological abnormalities, including activation of the hypothalamic–pituitary–adrenal axis, sympathoadrenal system, and proinflammatory cytokines, which can induce insulin resistance. While depression may contribute to poor diabetic-related outcome, diabetes and its complication may also contribute to poor depression outcome.
Precisely controlling the twist angle of epitaxial MoS2/graphene heterostructure by AFM tip manipulation

Two-dimensional (2D) moiré materials have attracted a lot of attention and opened a new research frontier of twistronics due to their novel physical properties. Although great progress has been achieved, the inability to precisely and reproducibly manipulate the twist angle hinders the further development of twistronics. Here, we demonstrated an atomic force microscope (AFM) tip manipulation method to control the interlayer twist angle of epitaxial MoS2/graphene heterostructure with an ultra-high accuracy of below 0.1°. Furthermore, conductive AFM and spectroscopic characterizations were conducted to show the effects of twist angle on moiré pattern wavelength, phonons and excitons. Our work provides a technique to precisely control the twist angle of 2D moiré materials, enabling the possibility to establish the phase diagrams of moiré physics with twist angle.
Acute coronary syndrome due to plaque erosion likely triggered by insect bites: a case series of Kounis syndrome

Abstract Background Kounis syndrome is the concurrence of acute coronary syndrome (ACS), including coronary spasm, acute myocardial infarction, and stent thrombosis due to an allergic and/or anaphylactoid insult. Case summary We present two cases of Kounis syndrome likely triggered by insect bites, with plaque erosion demonstrated using optical coherence tomography (OCT). Three common findings were derived from this case series. First, the patients developed a rash after an insect bite followed by ACS. Second, immunoglobulin E levels were increased. Finally, OCT identified the aetiology of ACS in this case series as erosion of the culprit lesions. Discussion Kounis syndrome, which is ACS following allergic reactions due to insect bites, is a rare complication. Kounis syndrome is probably not uncommon, but underdiagnosed. It is important for physicians to consider the treatment of Kounis syndrome in the complex course of ACS associated with allergic reactions. Furthermore, patients with a history of Kounis syndrome should avoid antigen exposure during secondary prophylaxis. In some cases, it may take several days from antigen exposure to the onset of ACS. Considering Kounis syndrome is beneficial for early diagnosis and appropriate treatment.
Limits to the Productivity in Biobased Territorial SMEs

In Latin América there are large exporting companies intensive in natural resources which do not connect with the SMEs in the territories. The aim of this study is to provide elements that explain the limits to the productivity of small and medium enterprises located in bio-based territories, providing inputs for a public policy that enhances local development. The case of sawmills located in the Province of Arauco, Bío-Bío Region, Chile, is studied. The results of a survey applied to 42 companies are analyzed, in the context of an initiative financed by the Regional Government of Biobío, which represent 84% of the total sawmills in the Province of Arauco. Different data science algorithms are used to generate clusters and decision trees. Based on the results, a heterogeneity within the group of companies is verified from the perception of the main problems, the processes that are internalized, the number of sectors it sells to and the cost of raw materials. Public policies recommendations are presented aimed at building support networks, improving quality standards through certifications, attracting, and retaining qualified human capital and promoting collaborative design among companies.
Recurrence- and Malignant Progression-Associated Biomarkers in Low-Grade Gliomas and Their Roles in Immunotherapy

Despite a generally better prognosis than high-grade glioma (HGG), recurrence and malignant progression are the main causes for the poor prognosis and difficulties in the treatment of low-grade glioma (LGG). It is of great importance to learn about the risk factors and underlying mechanisms of LGG recurrence and progression. In this study, the transcriptome characteristics of four groups, namely, normal brain tissue and recurrent LGG (rLGG), normal brain tissue and secondary glioblastoma (sGBM), primary LGG (pLGG) and rLGG, and pLGG and sGBM, were compared using Chinese Glioma Genome Atlas (CGGA) and Genotype-Tissue Expression Project (GTEx) databases. In this study, 296 downregulated and 396 upregulated differentially expressed genes (DEGs) with high consensus were screened out. Univariate Cox regression analysis of data from The Cancer Genome Atlas (TCGA) yielded 86 prognostically relevant DEGs; a prognostic prediction model based on five key genes (HOXA1, KIF18A, FAM133A, HGF, and MN1) was established using the least absolute shrinkage and selection operator (LASSO) regression dimensionality reduction and multivariate Cox regression analysis. LGG was divided into high- and low-risk groups using this prediction model. Gene Set Enrichment Analysis (GSEA) revealed that signaling pathway differences in the high- and low-risk groups were mainly seen in tumor immune regulation and DNA damage-related cell cycle checkpoints. Furthermore, the infiltration of immune cells in the high- and low-risk groups was analyzed, which indicated a stronger infiltration of immune cells in the high-risk group than that in the low-risk group, suggesting that an immune microenvironment more conducive to tumor growth emerged due to the interaction between tumor and immune cells. The tumor mutational burden and tumor methylation burden in the high- and low-risk groups were also analyzed, which indicated higher gene mutation burden and lower DNA methylation level in the high-risk group, suggesting that with the accumulation of genomic mutations and epigenetic changes, tumor cells continued to evolve and led to the progression of LGG to HGG. Finally, the value of potential therapeutic targets for the five key genes was analyzed, and findings demonstrated that KIF18A was the gene most likely to be a potential therapeutic target. In conclusion, the prediction model based on these five key genes can better identify the high- and low-risk groups of LGG and lay a solid foundation for evaluating the risk of LGG recurrence and malignant progression.