Miracle-dz/UniFAR-FTUs huggingface dataset:
Critical success factors for sustainable construction: a literature review

Purpose The purpose of this paper is to synthesize and evaluate the available literature with respect to critical success factors (CSFs) for sustainable construction (SC). Design/methodology/approach A systematic literature review (SLR) was undertaken to assist in the identification of the most pertinent papers from three publishers: Emerald, Elsevier and Wiley. The literature findings were assessed and presented relative to publication, author and contents as determined by review. Findings The SLR was conducted using a number of search criteria. A final set of 31 publications were detected for further examination. The characteristics in terms of publications, authors and contents of the extracted publication set were examined and discussed. A total of 35 factors were identified, distributed in five research categories. The frequency of the extracted factors within the publication set was investigated and enabled valuable quantitative and qualitative observations of current trends for SC. Interestingly, all research categories were represented in the top-counted factors, demonstrating a holistic perception of SC. Given the publication set, in most aspects, the research area examined seems to demonstrate features of an emerging field, which is not yet well established. Research limitations/implications SLR cannot ensure that all pertinent publications were identified, because it was tailored to a number of search criteria, although certain actions were taken to moderate this limitation. However, the outcome adequately identifies trends and offers valuable information and knowledge for SC and its successful implementation. Originality/value The present study presents a broad list of factors for SC, integrated from a variety of disciplines and stakeholders. The findings, therefore, provide a valuable reference for both construction professionals and practitioners attempting to implement SC. Furthermore, the list can be of use to academic scholars for further empirical work and basis for future research.
[Application of modified keystone flap in repairing of skin and soft tissue defect around joint].

Objective To explore the effectiveness of keystone flap in repairing skin and soft tissue defects around joint. Methods Between March 2013 and December 2017, 10 patients of skin and soft tissue defects around the joint were repaired with keystone flaps. There were 6 males and 4 females. The age ranged from 17 to 72 years, with an average age of 57.5 years. The skin and soft tissue defects located around the joints, including 2 cases of hip joints, 4 cases of knee joints, 3 cases of elbow joints, and 1 case of wrist joint. The cause of skin and soft tissue defects included scar contracture in 3 cases, basal cell carcinoma in 3 cases, squamous-cell carcinoma in 3 cases, and dermatofibrosarcoma protuberant in 1 case. The area of defects ranged from 4 cm×3 cm to 11 cm×11 cm. The keystone flap was designed beside the wound, and the V-shaped flap was designed at the longer side of the fan-shaped flap. The area of flap ranged from 7 cm×3 cm to 35 cm×10 cm. The flap was constantly compressed by vacuum assisted closure after operation for 3-6 days. Results Primary wound healing was achieved and the flaps survived. All patients were followed up 6-24 months (mean, 15 months). The texture and color of flap was similar to the adjacent area. The appearance and function of joint were satisfactory. Conclusion The keystone flap is a feasible and efficient way to repair the wound around joint. Furthermore, the skin color and texture is similar to the surrounding tissue after healing.
Serum metabolite profiling of familial adenomatous polyposis using ultra performance liquid chromatography and tandem mass spectrometry

ABSTRACT Familial adenomatous polyposis (FAP) is an autosomal dominantly inherited intestinal polyposis syndrome accounting for about 1% of colorectal cancers (CRC). Despite increasing researches on the molecular pathogenesis of CRC, we are still unclear about metabolic pathways and alterations probably involved in the development of CRC. To obtain new insights into the mechanisms underlying APC mutation and to elucidate the mechanisms of CRC development, we performed to identify the potential metabolites in FAP based on metabolomic strategy. Serum metabolites from FAP patients (n = 30) and healthy individuals (n = 34) were detected and qualified using Ultra Performance Liquid Chromatography and Tandem Mass Spectrometry (UPLC− MS/MS). 118 metabolites were identified with statistical tests of orthogonal partial least-squares-discriminant analysis (OPLS−DA), with the conditions of variable importance in projection (VIP) >1, p < 0.05 using the Mann−Whitney U test, and fold change (FC) ≥2 or ≤0.5. OPLS-DA model was useful for distinguishing FAP patients from healthy controls. Unique metabolic signatures were pooled in FAP patients covering tricarboxylic acid (TCA) cycle, amino acids metabolism, vitamin D, fatty acids metabolism, and bile acids (BAs) metabolism. Our results demonstrated that metabolites alterations in FAP can be helpful for further analysis of metabonomics induced by APC mutation, and these alterations might be involved in the progress of intestinal carcinogenesis.
Intra-Urban Change Analysis Using Sentinel-1 and Nighttime Light Data

This paper is devoted to detect and classify intra-urban changes by jointly exploiting Sentinel-1 (S-1) SAR data and nighttime light data. By extracting urban extents and urban density maps from SAR data, changes in nighttime lights can be used to detect changes related to the level of activity in a specific portion of each urban areas. At the same time, changes in radar backscattering are prone to reveal changes in the two- and three-dimensional structures of the built-up. The combination of these multimodal datasets has already proved to be useful to discriminate urban change patterns at the city level. In this paper, instead, SAR datasets from S-1 are exploited, allowing the recognition of different intra-urban changes. Experimental results focus on fast growing (mega) cities in East Asia, allowing us to understand in a more detailed way how they are changing and evolving in all three dimensions. Examples for Nanjing, Shanghai, and Guangzhou (China), Saigon (Vietnam), and Vientiane (Laos) are discussed to prove this statement.
Testing early warning metrics for drought‐induced tree physiological stress and mortality

Climate change‐driven drought stress has triggered numerous large‐scale tree mortality events in recent decades. Advances in mechanistic understanding and prediction are greatly limited by an inability to detect in situ where trees are likely to die in order to take timely measurements and actions. Thus, algorithms of early warning and detection of drought‐induced tree stress and mortality could have major scientific and societal benefits. Here, we leverage two consecutive droughts in the southwestern United States to develop and test a set of early warning metrics. Using Landsat satellite data, we constructed early warning metrics from the first drought event. We then tested these metrics' ability to predict spatial patterns in tree physiological stress and mortality from the second drought. To test the broader applicability of these metrics, we also examined a separate drought in the Amazon rainforest. The early warning metrics successfully explained subsequent tree mortality in the second drought in the southwestern US, as well as mortality in the independent drought in tropical forests. The metrics also strongly correlated with spatial patterns in tree hydraulic stress underlying mortality, which provides a strong link between tree physiological stress and remote sensing during the severe drought and indicates that the loss of hydraulic function during drought likely mediated subsequent mortality. Thus, early warning metrics provide a critical foundation for elucidating the physiological mechanisms underpinning tree mortality in mature forests and guiding management responses to these climate‐induced disturbances.
A Comparison of Service Quality on Customer Satisfaction towards Music Product Website in Indonesia and India

The development of information technology has opened the eyes of the world to a new world, new interactions, new market place, and an infinite business network. One proof of the development of these technologies is the Internet, which is causing information technology to make a positive impact on the people. Quite much it has changed the lifestyle of primitive Indonesian and Indian society transforming them into modern societies – an evolving parabola. For instance, it has created new types of business opportunities where business transactions are increasingly being made electronically, referred to as click and mortar. There has been an increased awareness about almost everything – from traditional product selling through booking orders to downloading commodities like entertainment (read music), for instant consumption. The growing popularity of such websites shows a rise in their demand but what is not clear is satisfaction customers may have with them. This research places an effort to understand the effect of service quality on customer satisfaction on music product websites with respondents from Indonesia and India, and compares are there any differences in consumer attitudes in these countries. It was observed that responsiveness, assurance, and empathy affect on customer satisfaction of music product website and tangibles, reliability and responsiveness have same impact for both countries, but assurance, empathy and customer satisfaction differ. This is an important milestone in understanding customer's intention in buying music online in both the countries.
Trajectories of School Recovery After a Natural Disaster: Risk and Protective Factors

Disasters may have significant and lasting impacts on educational programs and academic achievement, yet the examination of differing patterns of school recovery after disasters is understudied. This paper focused on two aims: (i) identification of school academic recovery trajectories; and (ii) examination of potential risk factors associated with these trajectories. We used latent class growth analysis to identify school academic recovery trajectories for a cohort of 462 Texas public schools that were in the path of Hurricane Ike in 2008. Using Texas Assessment of Knowledge and Skills (TAKS) data from 2005 to 2011, we found that attendance and percent of economically disadvantaged youth emerged as significant risk factors for two identified academic recovery trajectories (High‐Stable and Low‐Interrupted). Higher levels of economically disadvantaged youth were associated with lower likelihood of falling in the High‐Stable trajectory, relative to the Low‐Interrupted trajectory. Higher levels of attendance were associated with higher likelihood of membership in the High‐Stable trajectory, relative to the Low‐Interrupted trajectory. These findings are consistent with the notion that disasters do not affect all people or communities equally. Findings highlight the need for policy initiatives that focus on low performing schools, as these schools are at highest risk for adverse outcomes post‐disaster.
MiR-202-5p/PTEN mediates doxorubicin-resistance of breast cancer cells via PI3K/Akt signaling pathway

ABSTRACT We intended to explore the effect of miR-202-5p and phosphatase and tensin homolog (PTEN) on doxorubicin (DOX) resistance of breast cancer cells. The result of quantitative reverse transcription-polymerase chain reaction (qRT-PCR) reveals that miR-202-5p was highly expressed in drug-resistant breast cancer tissues, while PTEN was expressed less. MiR-202-5p directly targeted PTEN. Further, it was found that the overexpression of miR-202-5p promoted the DOX resistance and proliferation as well as decreased apoptosis of MCF-7 cells. The lower expression of miR-202-5p inhibited DOX resistance and proliferation as well as increased the apoptosis of MCF-7/DOX cells. In vivo experiments showed that mice with downregulated miR-202-5p had smaller tumor volume and lower Ki67 level. The overexpression of PTEN declined the proliferation of MCF7 cells, while miR-202-5p's overexpression could offset the function of overexpression of PTEN. The knockdown of PTEN promoted MCF7/DOX cell proliferation that could be counteracted by miR-202-5p silence. Moreover, we also revealed that downregulated miR-202-5p expression inhibited PI3k/Akt signaling pathway-related protein by regulating expression of PTEN.
The Knowledge Economy and the Activation of Scientific and Technological Progress: Contemporary Challenges

Abstract This article is dedicated to the problems and processes of the activation of scientific and technological progress in the context of contemporary challenges of the creation of a knowledge-based society and knowledge economy. The main focus here is on activating innovations, scientific and technological progress and creating various preconditions for the development of a knowledge-based society and knowledge economy. The contemporary processes and phenomena of innovations of scientific and technological progress and of its activation are analyzed in a complex manner; the needs for the purposeful activation and acceleration of scientific and technological progress, in particular in response to the aspirations of the knowledge-based society and the creation of a knowledge economy, are investigated in the presented material. The role and importance of innovation activities and the acceleration of scientific and technological advance in the context of the creation of a knowledge-based society and a knowledge economy are revealed and highlighted. New ideas of the search and use of synergetic effects, as well as a new theoretical approach based on the so-called universal principle of the creation of a “new quality,” are described. The results of the presented research can be used for preparing practical recommendations and methodologies that could be applied in the creation and implementation of the managerial and economic instruments and support systems aimed at the purpose of activating the processes of innovations and scientific and technological progress. These recommendations and methodolies could also be utilized in the development of international relations in the context of what is required in the creation of a knowledge-based society and knowledge economy. It is shown that the problems and processes of scientific and technological progress can be appreciated as an extremely important and viable field of scientific research on the creation and development of a knowledge economy.
Shaping the Body Politic: Mass Media Fat-Shaming Affects Implicit Anti-Fat Attitudes

The human psyche is profoundly shaped by its cultural milieu; however, few studies have examined the dynamics of cultural influence in everyday life, especially when it comes to shaping people’s automatic, implicit attitudes. In this quasi-experimental field study, we investigated the effect of transient, but salient, cultural messages—the pop-cultural phenomenon of celebrity “fat-shaming”—on implicit anti-fat attitudes in the population. Adopting the “copycat suicide” methodology, we identified 20 fat-shaming events in the media; next, we obtained data from Project Implicit of participants who had completed the Weight Implicit Association Test from 2004 to 2015. As predicted, fat-shaming led to a spike in women’s (N=93,239) implicit anti-fat attitudes, with events of greater notoriety producing greater spikes. We also observed a general increase in implicit anti-fat attitudes over time. Although these passing comments may appear harmless, we show that feedback at the cultural level can be registered by the “body politic. ”
Passivity Sliding Mode Control of Large-Scale Power Systems

In this brief, a sliding mode (SM) decentralized excitation controller for multimachine power systems is designed to stabilize the speed and regulate the terminal voltage of each generator in the system. To achieve the speed stabilization, a sliding manifold is designed using the passivity technique. An integral SM controller is proposed to reject internal and external perturbations, taking advantage of the energy properties of the power systems, in the SM motion on the designed manifold. Then, an SM voltage regulator is included in the control scheme, and a logic control is formulated to manage two proposed control laws for the speed and terminal voltage. Finally, to estimate the unmeasured rotor fluxes a nonlinear observer is designed. The proposed control scheme was tested through simulation on an equivalent of the Western System Coordinating Council under small and large perturbations.
SDN-Based Routing Mechanism for Industrial Wireless Sensor Networks

With the development of industrial network, Industrial Wireless Sensor Networks (IWSNs) outperform traditional wired automation system in terms of flexibility, scalability, and efficiency, etc. And IWSNs have critical demands on reliable and real-time data transmission. To meet these demands and enhance efficiency, a SDN-based routing mechanism for IWSNs is proposed in this paper, to determine the global optimal routing strategy based on the cognition of real-time network status. Firstly, a topology discovery algorithm based on multi-controller collaboration is proposed to improve the efficiency of the SDN controllers' cognition of network status, and each controller in the network can perceive the global network status by synchronizing information. Then, combined with the cognition of controllers for network status, a link quality-aware routing algorithm (LQAR) is proposed, further the global optimal routing is calculated and distributed to the field devices. Additionally, a node failure response strategy and a controller failure response strategy are proposed to enhance the reliability of the network. The simulation results show that the proposed routing mechanism can guarantee real-time data transmission and significantly improve the reliability compared with the traditional industrial wireless network routing mechanisms.
Learning Jumping Skills From Human with a Fast Reinforcement Learning Framework

Dynamic policies of locomotion control, which is one of the key problems for legged robots, remains great challenges, especially for newly arising bionic robots. In this paper, we propose a framework based on reinforcement learning to learn jumping skills from human demonstrations for a single legged robot. This approach adopts guided policy search (GPS)algorithms to apply trajectory optimization to direct strategy learning avoiding falling into the local optimum and uses differential dynamic programming to generate suitable bootstrap samples with the single legged hopping robot. The parameterized joint trajectories are learned from human demonstrations, and optimal control policies are established efficiently in an up to 8-dimensional parameter space, therefore the legged robot is controlled to jump as graceful as human beings do. The proposed algorithm is tested in our physical simulation based single leg platform which includes a completely rigid robot without any compliance mechanisms. Experiments demonstrate this approach works efficiently with relative small samples and the robot can learn to jump pretty well within only a few iterations.
Similar effectiveness of dapagliflozin and GLP‐1 receptor agonists concerning combined endpoints in routine clinical practice: A multicentre retrospective study

According to cardiovascular outcome trials, some sodium‐glucose contransporter‐2 inhibitors (SGLT2i) and glucagon‐like peptide‐1 receptor agonists (GLP‐1RA) are recommended for secondary cardiovascular prevention in type 2 diabetes (T2D). In this real‐world study, we compared the simultaneous reductions in HbA1c, body weight and systolic blood pressure after initiation of dapagliflozin or GLP‐1RA as second or a more advanced line of therapy.
Diabetes and Hypertension Differentially Affect Renal Catecholamines and Renal Reactive Oxygen Species

Patients with diabetic hypertensive nephropathy have accelerated disease progression. Diabetes and hypertension have both been associated with changes in renal catecholamines and reactive oxygen species. With a specific focus on renal catecholamines and oxidative stress we examined a combined model of hypertension and diabetes using normotensive BPN/3J and hypertensive BPH/2J Schlager mice. Induction of diabetes (5 × 55 mg/kg streptozotocin i.p.) did not change the hypertensive status of BPH/2J mice (telemetric 24 h avg. MAP, non-diabetic 131 ± 2 vs. diabetic 129 ± 1 mmHg, n.s at 9 weeks of study). Diabetes-associated albuminuria was higher in BPH/2J vs. diabetic BPN/3J (1205 + 196/-169 versus 496 + 67/-59 μg/24 h, p = 0.008). HPLC measurement of renal cortical norepinephrine and dopamine showed significantly greater levels in hypertensive mice whilst diabetes was associated with significantly lower catecholamine levels. Diabetic BPH/2J also had greater renal catecholamine levels than diabetic BPN/3J (diabetic: norepinephrine BPN/3J 40 ± 4, BPH/2J 91 ± 5, p = 0.010; dopamine: BPN/3J 2 ± 1; BPH/2J 3 ± 1 ng/mg total protein, p < 0.001 after 10 weeks of study). Diabetic BPH/2J showed greater cortical tubular immunostaining for monoamine oxidase A and cortical mitochondrial hydrogen peroxide formation was greater in both diabetic and non-diabetic BPH/2J. While cytosolic catalase activity was greater in non-diabetic BPH/2J it was significantly lower in diabetic BPH/2J (cytosolic: BPH/2J 127 ± 12 vs. 63 ± 6 nmol/min/ml, p < 0.001). We conclude that greater levels of renal norepinephrine and dopamine associated with hypertension, together with diabetes-associated compromised anti-oxidant systems, contribute to increased renal oxidative stress in diabetes and hypertension. Elevations in renal cortical catecholamines and reactive oxygen species have important therapeutic implications for hypertensive diabetic patients.
An Improved Process for Generating Uniform PSSMs and Its Application in Protein Subcellular Localization via Various Global Dimension Reduction Techniques

This paper proposes an improved protein feature expression called segmented amino acid composition in position-specific scoring matrix (PSSM-SAA) in the field of subcellular localization prediction. Since there has been sufficient local information in the PSSM-SAA vector with high dimensionality, four global algorithms of dimensional reduction are suggested, including linear discriminant analysis (LDA), median LDA (MDA), generalized Fisher discriminant analysis (GDA), and median–mean line-based discriminant analysis (MMLDA). PSSM-SAA is also compared with three important expressions: PSSM-S, DipCPSSM, and PsePSSM. Numerical experiments involving the overall success rate (OSR) show that PSSM-SAA is much better than PSSM-S and DipCPSSM and slightly better than or equal in performance to PsePSSM regardless of which dimension reduction algorithm is used. LDA is finally recommended for PSSM-SAA through comparison among four techniques of dimensional reduction. Other popular evaluation indexes also confirm the effectiveness of PSSM-SAA with LDA. Next, the suggested model is compared with the state-of-the-art predictors to further evaluate its validity. Finally, a new user-friendly local software for implementing PSSM-SAA is provided, which can be found at https://www.github. com/caozicheng/PSSMSAA-Builder.