Miracle-dz/UniFAR-FTUs huggingface dataset:
Roads Detection and Parametrization in Integrated BIM-GIS Using LiDAR

Building Information Modeling (BIM) has a crucial role in smart road applications, not only limited to the design and construction stages, but also to traffic monitoring, autonomous vehicle navigation, road condition assessment, and real-time data delivery to drivers, among others. Point clouds collected through LiDAR are a powerful solution to capture as-built conditions, notwithstanding the lack of commercial tools able to automatically reconstruct road geometry in a BIM environment. This paper illustrates a two-step procedure in which roads are automatically detected and classified, providing GIS layers with basic road geometry that are turned into parametric BIM objects. The proposed system is an integrated BIM-GIS with a structure based on multiple proposals, in which a single project file can handle different versions of the model using a variable level of detail. The model is also refined by adding parametric elements for buildings and vegetation. Input data for the integrated BIM-GIS can also be existing cartographic layers or outputs generated with algorithms able to handle LiDAR data. This makes the generation of the BIM-GIS more flexible and not limited to the use of specific algorithms for point cloud processing.
Teaching of Biopharmaceutics in a Drug Design Course: Use of GastroPlus as Educational Software

Drug design and development requires collaboration among scientists with diverse expertise. In early-stage drug design, establishment of promising drug candidates requires integration of structure-based molecular design with biopharmaceutics and ADMET (absorption, distribution, metabolism, excretion, and toxicity) principles. Much of this work is increasingly computational. Thus, students in a drug design course should learn the basis for and effects of candidate small molecules binding to therapeutic targets and the importance of simultaneous understanding of ADMET characteristics that will largely determine if the molecule can achieve a therapeutically relevant concentration at the target site and become an orally deliverable drug. This second aspect of education in drug design has been relatively overlooked compared to structure-based design. Here, we describe a course using sophisticated simulation and modeling software, GastroPlus and ADMET Predictor, which are commonly used in the pharmaceutical industry. Our teaching approach has evolved over a decade in early graduate and advanced undergraduate settings. We use a combination of short lectures, software demonstration, and hands-on use, which allows students to “design a drug” with incorporation of structural and ADMET considerations. Student feedback indicated that the use of the software and the course design were helpful in enhancing their understanding of the importance of biopharmaceutics properties and ADMET in drug design. GastroPlus and ADMET Predictor have recently become more accessible to educators, and our experience using this software in an educational setting may be helpful for instructors who wish to develop a similar course.
A Six-Body Potential Energy Surface for the SN2 Reaction ClN-(g) + CH3Cl(g) and a Variational Transition-State-Theory Calculation of the Rate Constant

Correlated calculations (MP2/6-31G**) of the energies and frequencies at the saddle point, ion-dipole complex, and reactants plus additional energy calculations at selected geometries in the strong interaction region are used to parameterize a multidimensional potential energy function for the title reaction. Semiclassical variational transition-state theory is used to calculate the gas-phase rate coefficient and to determine a semiempirical value of the barrier height to reproduce the experimental value of this coefficient at 300 K. The semiempirical gas-phase barrier height is 3.1 kcal/mol. A new potential energy function with this barrier height is created and used to calculate the temperature-dependent rate coefficients and phenomenological activation energies for both CH{sub 3}Cl and CD{sub 3}Cl over the 200-1,000 K temperature range. The activation energy is predicted to show a large temperature dependence. The kinetic isotope effect is predicted to be 1.04 at room temperature.
The Effects of Inventory Management capability on Performance of the Firm- Business Strategies as a Mediating Role

The research aim is to evaluate the mediating aspects of business strategies e.g. differentiation and cost leadership strategy in affecting the aspects of inventory capability e.g. cost-related factors of inventory and techniques of inventory and firm performance e.g. return on asset (ROA) and improve productivity (IMP) of the Bangladeshi garment industry. A survey was utilized to collect information and the questionnaire was dispersed among 385 senior managers in the readymade garment industry of Bangladesh. For the data analysis, AMOS version 24 and SPSS version 23 were used. The findings of the analyzed data revealed that strategies of the business mediate the consequence of inventory materials capability and performance of the firm. The (SEM) results identify that the study model has an appropriate observation fits.
Assessment of Hybrid RANS/LES Models in Heat and Fluid Flows around Staggered Pin-Fin Arrays

In the present work, the three-dimensional heat and fluid flows around staggered pin-fin arrays are predicted using two hybrid RANS/LES models (an improved delayed detached eddy simulation (IDDES) model and a stress-blended eddy simulation (SBES) model), and one transitional unsteady Reynolds averaged Navier-Stokes (URANS) model, called k-ω SSTLM. The periodic segment geometry with a total of nine pins is considered with a channel height of 2D and a distance of 2.5D between each pin. The corresponding Reynolds number based on the pin diameter and the maximum velocity between pins is 10,000. The two hybrid RANS/LES results show the superior prediction of the mean velocity profiles around the pins, pressure distributions on the pin wall, and Nusselt number distributions. However, the transitional model, k-ω SSTLM, shows large discrepancies except in front of the pins where the flow is not fully developed. The vortical structures are well resolved by the two hybrid RANS/LES models. The SBES model is particularly adept at capturing the 3-D vortex structures after the pins. The effects of the blending function switching between RANS and LES mode of the two hybrid RANS/LES models are also investigated.
Multi-level learning in the governance of adaptation to climate change: the case of Bolivia’s water sector

ABSTRACT The efforts of Bolivia’s water sector to adapt to climate change include the mainstreaming of adaptation in water policy instruments and broad capacity building processes supported by climate funds and international cooperation. These sector-wide adaptation experiences in the country present important learning challenges across different governance levels. This paper analyzes multi-level learning in the governance of adaptation taking place in the water sector in Bolivia, by focusing on changes in the cognitive, normative and relational domains of learning. The analysis is guided by three questions: (i) Which institutional arrangements enable multi-level learning in the governance of adaptation in Bolivia’s water sector? (ii) What are the cognitive, normative and relational dimensions of learning in these arrangements? (iii) What are the implications of multi-level learning for shaping desired outcomes in the governance of adaptation? The case contributes to understanding multi-level learning processes in the governance of adaptation, including the role of national and international climate change policy instruments in these. In addition, the study provides methodological insights for assessing multi-level learning.
The mitogenome of Mileewa margheritae (Hemiptera: Cicadellidae: Mileewinae)

Abstract In this study, the mitochondrial genome of Mileewa margheritae (Hemiptera: Cicadellidae: Mileewinae) was sequenced and annotated. The mitogenome of M. margheritae is 15376 bp in length, containing 13 protein-coding genes (PCGs), 22 tRNA genes, two rRNA genes, and a control region. The A + T content in the mitogenome was 79%. Most of PCGs started with ATN and stopped with TAA while ATP8 and ND5 started with TTG, COX2, ND1 stopped with incomplete T, Cytb stopped with TAG. We further constructed a Bayesian phylogenetic tree among M. margheritae, M. albovittata and other Cicadellidae species. The constructed phylogenetic tree suggests the close evolutionary relationship between M. margheritae and M. albovittata.
Characterization of the complete mitochondrial genome of biocontrol yeast Sporobolomyces sp. (Sporidiobolales: Sporidiobolaceae) with phylogenetic analysis

Abstract In this study, we obtained the complete mitochondrial genome of Sporobolomyces sp. using next-generation sequencing. The complete mitochondrial genome of Sporobolomyces sp. contained 15 protein-coding genes (PCG), two ribosomal RNA (rRNA) genes, and 25 transfer RNA (tRNA) genes. The total length of the Sporobolomyces sp. mitochondrial genome is 26,430 bp, and the GC content of the mitochondrial genome is 39.32%. Phylogenetic analysis based on combined mitochondrial gene dataset indicated that the mitochondrial genome of Sporobolomyces sp. exhibited a close relationship with that of Rhodotorula mucilaginosa.
Revision of the Swedish species of Neoxorides Clément, 1938 (Ichneumonidae: Poemeniinae) with the description of a new species and an illustrated key to species

Neoxorides Clement, 1938 is a small genus of ichneumonid wasps that develop on wood-boring beetles. We here revise the Western Palaearctic species of the genus, with a special focus on Sweden. A new species, N. striatus Johansson sp. nov. is described. Neoxorides opacus (Kokujev, 1903) stat. rev. is excluded from the synonymy with N. nitens (Gravenhorst, 1829) and reinstated as a valid species. The species is redescribed from European material. Neoxorides kissi (Ulbricht, 1911) is confirmed as a junior synonym of N. opacus . A neotype for N. opacus is designated. New characters to distinguish N. varipes (Holmgren, 1860), N. collaris (Gravenhorst, 1829) and N. montanus Oehlke, 1966 are presented. Almost all of the species treated are supported by DNA-barcoding. An illustrated key to the species occurring in the Western Palaearctic is provided, a prerequisite for making the genus accessible for future ecological and conservation studies.
Experimental Media Development for Learning Kinematics Using Jointed Robot Model

This paper discusses about developing the learning media of kinematics using jointed robot models. The difficulty of learning kinematics is the high complexity of robot movements, while the number of degrees of freedom (DOF) is high. The DOF determines the movement of the robot joints to be more smooth, so each joint should be controlled accurately. The learning content consists of a theoretical concept of kinematic models and how this concept could be implemented as robot movements in real. In order to be more understandable, developing learning media is needed, which consists of jointed robot model as the practicing tool, practicum module and manual book. The learning content consists of a theoretical concept of kinematic models and how this concept is implemented as robot movements in real. The developing learning media is carried out regarding the learning media development method introduced by the Sugiyono’s model. In order to observe whether the media could be valid for teaching-learning, evaluation of experts is needed. The results show that validation processes of experts are averaged as 91.2%, which indicates the criteria of a product is very valid and suitable to be used as learning media to support learning activities of kinematics study.
The complete mitochondrial genome sequence of Mirabilis himalaica, an endemic plant to Tibet

Abstract The complete mitochondrial genome of the important medicinal plant Mirabilis himalaica has been reported in this study. It was 346,363 bp in size with a GC content of 44.6% and contained 42 protein-coding genes (30 known functional genes, 11 ORF genes and one ycf2 gene of unknown function), 27 tRNA genes, and four rRNA genes. Most of the genes were single-copy genes, only three were duplicated and two were multi-copy. Phylogenetic analysis showed M. himalaica to be closely clustered with Silene latifolia, Spinacia oleracea and Beta vulgaris, all species belong to the order Caryophyllales.
Indicators of Affect Dynamics: Structure, Reliability, and Personality Correlates

Researchers are increasingly interested in the affect dynamics of individuals for describing and explaining personality and psychopathology. Recently, the incremental validity of more complex indicators of affect dynamics (IADs; e.g. autoregression) has been called into question (Dejonckheere et al., 2019), with evidence accumulating that these might convey little unique information beyond mean level and general variability of emotions. Our study extends the evidence for the construct validity of IADs by investigating their redundancy and uniqueness, split–half reliability based on indices from odd–numbered and even–numbered days, and association with big five personality traits. We used three diverse samples that assessed daily and momentary emotions, including community participants, individuals with personality pathology, and their significant others (total N = 1192, total number of occasions = 51 278). Mean and variability of affects had high reliability and distinct nomological patterns to big five personality traits. In contrast, more complex IADs exhibited substantial redundancies with mean level and general variability of emotions. When partialing out these redundancies by using residual variables, some of the more complex IADs had acceptable reliability, but only a few of these showed incremental associations with big five personality traits, indicating that IADs have limited validity using the current assessment practices. © 2020 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology
Orígenes y desarrollo de la teoría de la agenda setting en Comunicación. Tendencias en España (2014-2019)

espanolLa teoria de la agenda setting establece como hipotesis central que existe un fenomeno de transferencia de relevancia desde la agenda de los medios de comunicacion hasta la agenda del publico. Desde su formulacion en los anos 70 del siglo XX, el modelo explicativo de la agenda setting de asuntos (primer nivel) se ha ido ramificando para poder explicar la transmision de la agenda de los atributos (segundo nivel) y la agenda de redes –o relaciones– (tercer nivel). El presente articulo lleva a cabo una revision del modelo y su evolucion teorica y empirica, para acabar acercandose a su utilizacion en la investigacion publicada en Espana en el ultimo quinquenio. A pesar de la amplia repercusion de la agenda setting en la investigacion publicada en este pais, muchos de los trabajos utilizan la teoria como marco general para llevar a cabo analisis de contenido sin llegar a plantear (empiricamente) ningun fenomeno de transferencia de relevancia. EnglishThe core hypothesis of the theory of agenda setting is that there is a process of transfer of salience from the media agenda to the public agenda. Since its original conception in the early 1970s, the explanatory model of ‘issue-agenda setting’ (first level) has been extended to help explain the transfer of the media’s ‘attribute agenda’ (second level) and ‘network agenda’ (third level) to the public agenda. This article provides a review of the agenda-setting model and its theoretical and empirical development, ending with a section that summarizes and discusses research studies published in this area in the last five years in Spain. Despite the broad influence of the agenda-setting theory in communication research in this country, Despite the broad influence of the agenda-setting theory in communication research in this country, many of the studies use the theory as a general framework for conducting a content analysis, withouh empirically testing any process of salience transfer.
CADAVERIC MEASUREMENT AND ANALYSIS OF INTERSCALENE TRIANGLE AND COSTO-CLAVICULAR SPACES IN RELATION TO THORACIC OUTLET SYNDROME

Objectives: Thoracic outlet syndrome (TOS) is an upper extremity disorder resulting from compression of brachial plexus structures and subclavian vessels within thoracic outlet region at any of the three primary sitesinterscalene triangle, costoclavicular space and retro-pectoralis minor space. This study focused on detailed anatomic exploration and measurement of normal anatomic variability within interscalene triangle and costoclavicular space. Material and Method: We examined 49 cadavers (22 male and 27 female) and dissected both sides to explore and examine 98 dissected areas. We measured the base width, height, angle within interscalene triangle and the vertical distance within costoclavicular space. We also calculated the area of interscalene triangle. Results: The mean values of base width, height, interscalene angulation of interscalene triangle and height of costoclavular space was 10.18±4.31 mm, 45.19±0.07 mm, 10.85±0.06 degrees and 10.22±0.07 mm respectively. The mean area of interscalene triangle was 214.82±5.22sqmm. Conclusion: We have found clinically significant differences between the interscalene and costiclavicular space vertical heights; the height of costoclavicular space was clinically significant lower than the interscalene space (p< 0.001). No clinical significant difference was found between male and female measurements. These ranges of dataset could be useful for planning treatment approaches in TOS.
The Most Psychological Impacts of Coronavirus Epidemics: A Protocol for Systematic Review and Meta-Analysis

Objective: The Coronavirus disease 2019 (COVID-19) is a considerable psychological stressor that has a significant impact on every facet of people’s life. Since 2002 that the first Coronavirus epidemic has emerged, many pieces of researches have indicated several psychological problems during this period. In circumstances such as COVID-19, researchers could deploy previous resources to identify the most prevalent psychological effects of Coronavirus diseases. We aim to systematically review and quantitatively assess the psychological problems during Coronavirus epidemics to identify the most prevalent psychological problems. Method: A systematic review of the literature will be conducted on psychological problems during previous and the new Coronavirus epidemics. Electronic databases, including PubMed/MEDLINE, Web of Science, Cochrane Library, PsycINFO/ProQuest, Scopus, and Google Scholar will be systematically searched using predefined search terms to identify relevant articles published from January 1, 2002 to June 20, 2020. Two authors independently identify papers that reported the prevalence rates of the psychological problems during Coronavirus outbreaks. The outcomes will include the most prevalent psychological problems during Coronavirus outbreaks. To ensure we have gathered all the evidence, we will conduct another search on the specific psychological problems revealed in the previous search. Study selection will follow the Cochrane library guideline. Afterward, data synthesis will be performed via the meta-analysis of the prevalence rates using the random effect model. Conclusion: The findings can allow identifying the most prevalent psychological problems since the first Coronavirus epidemic in 2002. This can help health policymakers and clinicians to be informed of the priorities of the psychological problems related to COVID-19.
Population genetic structure of estuary perch (Percalates colonorum Gunther) in south-eastern Australia

Estuary perch (Percalates colonorum Gunther) is an estuary dependent fish native to south-eastern Australia that is in decline. There is an increasing emphasis on stocking the species. Understanding the genetic structure across its range is important for guiding optimal stocking strategies. A prior study found some evidence of population genetic structure; however, few genetic markers were used in that assessment. Here, we develop 21 novel polymorphic microsatellite markers to reassess population genetics. Analyses indicate three broad genetic clusters, with populations on mainland Australia exhibiting an isolation by distance pattern. The only known population from Tasmania is genetically and geographically isolated from mainland populations and has very low levels of genetic diversity. We provide recommendations for sourcing broodstock from mainland populations, including describing three broad areas for procuring and releasing broodstock and offspring. The markers and results reported here will prove invaluable for guiding and monitoring the outcomes of stocking and conservation activities.
Intraoperative Margin Assessment in Oral and Oropharyngeal Cancer Using Label-Free Fluorescence Lifetime Imaging and Machine Learning

Objective: To demonstrate the diagnostic ability of label-free, point-scanning, fiber-based Fluorescence Lifetime Imaging (FLIm) as a means of intraoperative guidance during oral and oropharyngeal cancer removal surgery. Methods: FLIm point-measurements acquired from 53 patients (n = 67893 pre-resection in vivo, n = 89695 post-resection ex vivo) undergoing oral or oropharyngeal cancer removal surgery were used for analysis. Discrimination of healthy tissue and cancer was investigated using various FLIm-derived parameter sets and classifiers (Support Vector Machine, Random Forests, CNN). Classifier output for the acquired set of point-measurements was visualized through an interpolation-based approach to generate a probabilistic heatmap of cancer within the surgical field. Classifier output for dysplasia at the resection margins was also investigated. Results: Statistically significant change (P $< $ 0.01) between healthy and cancer was observed in vivo for the acquired FLIm signal parameters (e.g., average lifetime) linked with metabolic activity. Superior classification was achieved at the tissue region level using the Random Forests method (ROC-AUC: 0.88). Classifier output for dysplasia (% probability of cancer) was observed to lie between that of cancer and healthy tissue, highlighting FLIm's ability to distinguish various conditions. Conclusion: The developed approach demonstrates the potential of FLIm for fast, reliable intraoperative margin assessment without the need for contrast agents. Significance: Fiber-based FLIm has the potential to be used as a diagnostic tool during cancer resection surgery, including Transoral Robotic Surgery (TORS), helping ensure complete resections and improve the survival rate of oral and oropharyngeal cancer patients.