Miracle-dz/UniFAR-FTUs huggingface dataset:
Scientometric analysis of BIM-based research in construction engineering and management

Purpose The purpose of this paper is to summarize the latest research of BIM adoption in construction engineering and management (CEM) and propose research directions for future scholarly work. During the recent decade, building information modeling (BIM) has gained increasing applications and research interest in the construction industry. Although there have been review-based studies that summarized BIM-based research in the overall architecture, engineering and construction (AEC) area, there is limited review that evaluates the current stage of BIM-based research specifically in the CEM sub-area. Design/methodology/approach CEM falls into the scope of AEC. It involves construction-related tasks, activities and processes (e.g. scheduling and cost estimates), issues (e.g. constructability), as well as human factors (e.g. collaboration). This study adopted a holistic literature review approach that incorporates bibliometric search and scientometric analysis. A total of 276 articles related to BIM applied in CEM were selected from Scopus as the literature sample for the scientometric analysis. Findings Some key CEM research areas (e.g. CEM pedagogy, integrated project delivery, lean and off-site construction) were identified and evaluated. Research trends in these areas were identified, and analyses were carried out with regard to how they could be integrated with BIM. For example, BIM, as a data repository for ACE facilities, has substantial potential to be integrated with a variety of other digital technologies, project delivery methods and innovative construction techniques throughout the whole process of CEM. Practical implications As BIM is one of the key technologies and digital platforms to improve the construction productivity and collaboration, it is important for industry practitioners to be updated of the latest movement and progress of the academic research. The industry, academics and governmental authorities should work with joint effort to fill the gap by first recognizing the current needs, limitations and trends of applying BIM in the construction industry. For example, it needs more understanding about how to address technical interoperability issues and how to introduce the integrated design and construction delivery approach for BIM implementation under the UK BIM Level 2/3 framework. Originality/value This study contributed to the body of knowledge in BIM by proposing a framework leading to research directions including the differences of BIM effects between design-bid-build and other fast-track project delivery methods; the integration of BIM with off-site construction; and BIM pedagogy in CEM. It also addressed the need to investigate the similarities and differences between academia and industry toward perceiving the movement of BIM in construction field work.
Promoting Young Adults to Perform Energy Saving Behavior through Message Framing: A Lesson Learned from Indonesia

This study examined the effects of message framing in promoting electricity saving behavior among young adults. An integrated model of prospect theory, scarcity theory and individual differences theory was developed. The effects of message framing on participants’ attitudes were analyzed as well as the interaction effects of scarcity information and need for cognition. Laboratory experiments were conducted with 2 (positive and negative framing) x 2 (given scarcity information and not given the scarcity information) x 2 (high NFC and low NFC) between subjects factorial design. Participants were 228 students from 3 universities in Yogyakarta, Indonesia. Stimuli were given in the form of four pages booklet containing electricity saving messages. Based on the insignificant results of hypothesis testing, a focused group discussion research was conducted to find out the explanations of these phenomena in Indonesia.
ULTRAVIOLET AND EXTREME-ULTRAVIOLET EMISSIONS AT THE FLARE FOOTPOINTS OBSERVED BY ATMOSPHERE IMAGING ASSEMBLY

A solar flare is composed of impulsive energy release events by magnetic reconnection, which forms and heats flare loops. Recent studies have revealed a two-phase evolution pattern of UV 1600 Å emission at the feet of these loops: a rapid pulse lasting for a few seconds to a few minutes, followed by a gradual decay on timescales of a few tens of minutes. Multiple band EUV observations by the Atmosphere Imaging Assembly further reveal very similar signatures. These two phases represent different but related signatures of an impulsive energy release in the corona. The rapid pulse is an immediate response of the lower atmosphere to an intense thermal conduction flux resulting from the sudden heating of the corona to high temperatures (we rule out energetic particles due to a lack of significant hard X-ray emission). The gradual phase is associated with the cooling of hot plasma that has been evaporated into the corona. The observed footpoint emission is again powered by thermal conduction (and enthalpy), but now during a period when approximate steady-state conditions are established in the loop. UV and EUV light curves of individual pixels may therefore be separated into contributions from two distinct physical mechanisms to shed light on the nature of energy transport in a flare. We demonstrate this technique using coordinated, spatially resolved observations of UV and EUV emissions from the footpoints of a C3.2 thermal flare.
An Extended Dominating Node Approach to Broadcast and Global Combine in Multi-Port Wormhole-Routed M

A new approach to the design of collective communication operations in wormhole-routed mesh networks is described. The approach extends the concept of dominating sets in graph theory by accounting for the relative distance-insensitivity of the wormhole switching strategy and by taking advantage of a multi-port communication architecture, which allows each node to simultaneously transmit messages on diierent outgoing channels. Collective communication operations are deened in terms of sets of extended dominating nodes (EDNs). The nodes in a set of EDNs can deliver (receive) messages to (from) a diierent, larger set of nodes in a single message-passing step under dimension-ordered wormhole routing and without channel contention among messages. The EDN model can be applied to diierent collective operations in 2D and 3D mesh networks. In this paper, we focus on EDN-based broadcast and global combine operations. Performance evaluation results are presented that connrm the advantage of this approach over other methods.
A Sensitive Survey for Water Maser Emission Toward Bok Globules Using the Robledo 70 m Antenna

We report on the most sensitive water maser survey toward Bok globules to date, performed using NASA's 70 m antenna at Robledo de Chavela (Spain). We observed 207 positions within the Clemens and Barvainis catalog with a higher probability of harboring a young star, using as selection criteria the presence of radio continuum emission (from submillimeter to centimeter wavelengths), geometric centers of molecular outflows, peaks in maps of high-density gas tracers (NH3 or CS), and IRAS point sources. We have obtained seven maser detections, six of which (in CB 34, CB 54, CB 65, CB 101, CB 199, and CB 232) are reported for the first time here. Most of the water masers we detected are likely to be associated with young stellar objects (YSOs), except for CB 101 (probably an evolved object) and CB 65 (uncertain nature). The water maser in CB 199 shows a relatively high shift (≃30 km s-1) of its velocity centroid with respect to the cloud velocity, which is unusual for low-mass YSOs. We speculate that high-velocity masers in this kind of object could be related to episodes of energetic mass loss in close binaries. Alternatively, the maser in CB 199 could be pumped by a protoplanetary or a young planetary nebula. CB 232 is the smallest Bok globule (≃0.6 pc) known to be associated with water maser emission, although it would be superseded by the cases of CB 65 (≃0.3 pc) and CB 199 (≃0.5 pc) if their association with YSOs is confirmed. All our selection criteria have statistically compatible detection rates, except for IRAS sources, which tend to be somewhat worse predictors for the presence of maser emission.
Discovering tasks from search engine query logs

Although Web search engines still answer user queries with lists of ten blue links to webpages, people are increasingly issuing queries to accomplish their daily tasks (e.g., finding a recipe, booking a flight, reading online news, etc.). In this work, we propose a two-step methodology for discovering tasks that users try to perform through search engines. First, we identify user tasks from individual user sessions stored in search engine query logs. In our vision, a user task is a set of possibly noncontiguous queries (within a user search session), which refer to the same need. Second, we discover collective tasks by aggregating similar user tasks, possibly performed by distinct users. To discover user tasks, we propose query similarity functions based on unsupervised and supervised learning approaches. We present a set of query clustering methods that exploit these functions in order to detect user tasks. All the proposed solutions were evaluated on a manually-built ground truth, and two of them performed better than state-of-the-art approaches. To detect collective tasks, we propose four methods that cluster previously discovered user tasks, which in turn are represented by the bag-of-words extracted from their composing queries. These solutions were also evaluated on another manually-built ground truth.
Reconstruction and Visualization of Fiber and Sheet Structure with Regularized Tensor Diffusion MRI in the Human Heart

Background — The human heart is composed of a helical network of muscle fibers. These fibers are organized to form sheets that are separated by cleavage surfaces. This complex structure of fibers and sheets is responsible for the orthotropic mechanical properties of cardiac muscle. The understanding of the configuration of the 3D fiber and sheet structure is important for modeling the mechanical and electrical properties of the heart and changes in this configuration may be of significant importance to understand the remodeling after myocardial infarction. Methods — Anisotropic least square filtering followed by fiber and sheet tracking techniques were applied to Diffusion Tensor Magnetic Resonance Imaging (DTMRI) data of the excised human heart. The fiber configuration was visualized by using thin tubes to increase 3-dimensional visual perception of the complex structure. The sheet structures were reconstructed from the DTMRI data, obtaining surfaces that span the wall from the endoto the epicardium. All visualizations were performed using the high-quality ray-tracing software POV-Ray. Results — The fibers are shown to lie in sheets that have concave or convex transmural structure which correspond to histological studies published in the literature. The fiber angles varied depending on the position between the epiand endocardium. The sheets had a complex structure that depended on the location within the myocardium. In the apex region the sheets had more curvature. Conclusion — A high-quality visualization algorithm applied to demonstrate high quality DTMRI data is able to elicit the comprehension of the complex 3 dimensional structure of the fibers and sheets in the heart. keywords: Cardiac Imaging, Diffusion Tensor MRI, Fiber Tracking, Laminar Architecture, Anisotropic filtering.
Using clustering to support the migration from static to dynamic web pages

Web sites of the first generation consist typically of a set of purely static Web pages. Content and presentation are not separated, and a same page structure is replicated every time a similar organization of the information is devised. Such a practice poses several problems to the evolution of these sites. It is not easy to update the content, and each time the HTML structure is modified, the same changes have to be propagated to all replications. In this paper, an approach is proposed for the identification of the Web pages that are more amenable to be migrated into a dynamic version, in that they share a similar structure, filled in with a content organized according to a common scheme. Clustering is used for this purpose: a common template is extracted from the pages in the same cluster and the variable information of the pages matching the template is migrated to a database. A server side program extracts the requested information from the data base, and generates dynamically the HTML pages to be displayed in the browser.
Constraints on the Equations of State of stiff anisotropic minerals: rutile, and the implications for rutile elastic barometry

Abstract We present an assessment of the thermo-elastic behaviour of rutile based on X-ray diffraction data and direct elastic measurements available in the literature. The data confirms that the quasi-harmonic approximation is not valid for rutile because rutile exhibits substantial anisotropic thermal pressure, meaning that the unit-cell parameters change significantly along isochors. Simultaneous fitting of both the diffraction and elasticity data yields parameters of KTR0= 205.14(15) GPa, KSR0= 207.30(14) GPa, $K_{TR0}^{\prime} $= 6.9(4) in a 3rd-order Birch-Murnaghan Equation of State for compression, αV0= 2.526(16) × 10–5 K–1, Einstein temperature θE = 328(12) K, Anderson-Grüneisen parameter δT = 7.6(6), with a fixed thermal Grüneisen parameter γ = 1.4 to describe the thermal expansion and variation of bulk modulus with temperature at room pressure. This Equation of State fits all of the available data up to 7.3 GPa at room temperature, and up to 1100 K at room pressure within its uncertainties. We also present a series of formulations and a simple protocol to obtain thermodynamically consistent Equations of State for the volume and the unit-cell parameters for stiff materials, such as rutile. In combination with published data for garnets, the Equation of State for rutile indicates that rutile inclusions trapped inside garnets in metamorphic rocks should exhibit negative residual pressures when measured at room conditions.
Catalytic Nucleation of Amyloid Beta and Hen Egg White Fibrils, and p53 Oligomerization

Scaling theory generates transferable (even universal) algebraic and geometrical relations between the amino acid sequences and the aggregation functions of the three titled radically different proteins. In addition to the two hydropathicity scales and beta strand scales used in earlier p53 work, a second beta strand Hot Spot scale is shown to yield very accurate results for oligomerization of p53, the tumor suppressor. These algebraic and geometrical relations could be caused topologically by the dominance of protein-protein aggregation by interactions in a membrane catalytic surface layer.
CYTOGENETIC STUDY OF THE PURE MYRISTICIN FROM NUTMEG ( MYRISTICA FRAGRANS ) ON RHABDOMYOSARRCOMA CELL LINE ( IN VITRO )

This study was conducted with the aim to extract and purify apolyphenolic compound “Myristicin” from the dried seeds of nutmeg Myristica fragrans available in Iraqi markets. The partial purified myristicin is obtained after column chromatography application which has been detected in the essential oil by TLC and vanillin-H2SO4 reagent. The cytotoxic effect of pure and partial purified myristicin extract concentrations ranging (31.25– 500) μg/ml are used to treat the Rhabdomyosarrcoma (RD) cell line for 24, 48 and 72 hours intervals. The highest percentage of inhibition appears in 500, 250 and 125 μg/ml at 48 h (82.3, 82.1 and 75.9 %) respectively on RD cell line when treated with pure myristicin , While when treated with partial pure myristicin at the same times and with the same concentrations this percentage decreases without any significant difference.
A coverage dominance approach for sensor deployment optimization

A Wireless Sensor Networks (WSN) usually consists of numerous wireless devices deployed in a region of interest, each able to collect and process environmental information and communicate with neighbouring devices. The problem of sensor deployment becomes non-trivial when we consider environmental factors, such as terrain elevation. We propose a Crowd-Out Dominance search (CODS) that makes use of topographic terrain information and inter-sensors relationship information to facilitate the search of the best sensor positions. The proposed method demonstrates better robustness to terrain complexity compared with traditional heuristic methods.
Impact of TiO2-II phase stabilized in anatase matrix by high-pressure torsion on electrocatalytic hydrogen production

ABSTRACT Electrocatalysis using renewable energy sources provides a clean technology to produce hydrogen from water. Titanium oxide is considered as a potential electrocatalyst not only for hydrogen production but also for CO2 conversion. In this study, to enhance the cathodic electrocatalytic activity of TiO2, the phase composition on TiO2 surface is modified by inclusion of high-pressure TiO2-II phase using high-pressure torsion (HPT) straining. Detailed spectroscopic studies revealed that the energy band gap is reduced and the valence band energy increased with increasing the TiO2-II fraction. The highest electrocatalytic activity for hydrogen production was achieved on an anatase-rich nanocomposite containing TiO2-II nanograins. GRAPHICAL ABSTRACT IMPACT STATEMENT The first application of high-pressure TiO2-II phase for electrocatalysis confirm that the inclusion of phase in anatase-based nanocomposites is effective to enhance the electrocatalytic hydrogen production on titanium oxide due to the modification of electronic structure.
The Common and Specific Components of Dynamic Volatility

This paper develops a dynamic approximate factor model in which returns are time-series heteroskedastic. The heteroskedasticity has three components: a factor-related component, a common asset-specific component, and a purely asset-specific component. We develop a new multivariate GARCH model for the factor-related component. We develop a univariate stochastic volatility model linked to a cross-sectional series of individual GARCH models for the common asset-specific component and the purely asset-specific component. We apply the analysis to monthly US equity returns for the period January 1926 to December 2000. We find that all three components contribute to the heteroskedasticity of individual equity returns. Factor volatility and the common component in asset-specific volatility have long-term secular trends as well as short-term autocorrelation. Factor volatility has correlation with interest rates and the business cycle.
THE EFFECT OF DEFINITIONS TOWARD STUDENTS’ VOCABULARY

This research is aimed to find out the effect of definitions toward students’ vocabulary mastery: it was an experimental study at the second grade student of MTs NW Haqqul Yaqin Sayangsayang. The subject of this research was the second grade of MTs NW Haqqul Yaqin Sayangsayang.The research was used experimental method with quantitative approach. The population of this research consist of 55 students, and the sample is 29 for experimental group while 26 for control group. The technique of collecting data was used definition for experimental group and matching word with antonym for control group. The data was collected by using post-test only and the data was analyzed by t-test formula. Based on data analysis the mean score of experimental group was 76,4 and control group was 69,23, beside of that standard deviation for experimental group was 114,28 and for control group was 113,09 and the value of t-test was 2,44 and t-table was 2,000. Degree of freedom is 53 with significant level 0,05. It means that the value of t-test was higher than t-table (t-test ˃ t-table). The alternative hypothesis (Ha) was accepted and null hypothesis (Ho) was rejected. Thus, the conclusion of this research was there was an effect of definition toward students’ vocabulary mastery: an experimental study at the second grade students of MTs NW Haqqul Yaqin Sayang-sayang.
Tumour-derived exosomes as antigen delivery carriers in dendritic cell-based immunotherapy for malignant mesothelioma

Background In 2001, it was postulated that tumour-derived exosomes could be a potent source of tumour-associated antigens (TAA). Since then, much knowledge is gained on their role in tumorigenesis but only very recently tumour-derived exosomes were used in dendritic cell (DC)-based immunotherapy. For this, DCs were cultured ex-vivo and loaded with exosomes derived from immunogenic tumours such as melanoma or glioma and re-administrated to induce anti-tumour responses in primary and metastatic tumour mouse models. In contrast, malignant mesothelioma (MM) is a non-immunogenic tumour and because only a few mesothelioma-specific TAA are known to date, we investigated whether mesothelioma-derived exosomes could be used as antigen source in DC-based immunotherapy. Methods Mouse MM AB1 cells were used to generate tumour lysate and tumour-derived exosomes. Tumour lysate was generated by 5 cycles of freeze–thawing followed by sonication of AB1 cells. Tumour exosomes were collected from the AB1 cell culture supernatant and followed a stepwise ultracentrifugation. Protein quantification and electron microscopy were performed to determine the protein amount and to characterise their morphology. To test whether MM derived exosomes are immunogenic and able to stimulate an anti-tumoral response, BALB/c mice were injected with a lethal dose of AB1 tumour cells at day 0, followed by intraperitoneal injection of a single dose of DCs loaded with tumour exosomes, DCs loaded with tumour lysate, or phosphate buffered saline (PBS), at day 7. Results Mice which received tumour exosome-loaded DC immunotherapy had an increased median and overall survival compared to mice which received tumour lysate-loaded DC or PBS. Conclusion In this study, we showed that DC immunotherapy loaded with tumour exosomes derived from non-immunogenic tumours improved survival of tumour bearing mice.
DEA 1 Expression on Dog Erythrocytes Analyzed by Immunochromatographic and Flow Cytometric Techniques

Background The Dog erythrocyte antigen (DEA) 1 blood group system was thought to contain types DEA 1.1 and 1.2 (and possibly 1.3 [A3]). However, DEA 1.2+ dogs are very rare and newer typing methods reveal varying degrees of DEA 1 positivity. Objectives To assess if variation in DEA 1 positivity is because of quantitative differences in surface antigen expression. To determine expression patterns in dogs over time and effects of blood storage (4°C). To evaluate DEA 1.2+ samples by DEA 1 typing methods. Animals Anticoagulated blood samples from 66 dogs in a research colony and from a hospital, and 9 previously typed DEA 1.2+ dogs from an animal blood bank. Methods Research study: Samples were analyzed by flow cytometry and immunochromatographic strip using a monoclonal anti‐DEA 1 antibody. Results Twenty dogs were DEA 1−, whereas 46 dogs were weakly to strongly DEA 1+. Antigen quantification revealed excellent correlation between strip and flow cytometry (r = 0.929). Both methods reclassified DEA 1.2+ samples as weakly to moderately DEA 1+, but they were not retyped with the polyclonal anti‐DEA 1.1/1.X antibodies. Dogs and blood samples retained their relative DEA 1 antigen densities over time. Conclusions and Clinical Importance The blood group system DEA 1 is a continuum from negative to strongly positive antigen expression. Previously typed DEA 1.2+ appears to be DEA 1+. These findings further the understanding of the DEA 1 system and suggest that all alleles within the DEA 1 system have a similarly based epitope recognized by the monoclonal antibody.