Miracle-dz/UniFAR-FTUs huggingface dataset:
The Paradox of Responsive Authoritarianism: How Civic Activism Spurs Environmental Penalties in China

Recognizing the need to better understand institutional change processes in authoritarian states, which play an increasingly prominent role in the world economy, we examine the efficacy of civic activism aimed at spurring governmental action concerning the environmental performance of firms in China. We highlight the paradox of “responsive authoritarianism” on display in China: to avoid needing to rule by coercion alone, the government seeks citizens’ feedback and tolerates pressures for change, but at the same time it resists the associated legitimacy threats regarding its capacity to rule. Local governments and the media play crucial and dual roles in this system: they mitigate change pressures from civic activism that takes place within the state’s systems, but they magnify change pressures from publicly visible civic activism occurring outside those systems. We test our conceptual model using a unique data set of environmental penalties imposed on Chinese publicly listed firms from 2007 to 2011. Our f.
Antibiofilm activity of three Actinomycete strains against Staphylococcus epidermidis

This study sought to identify novel and nontoxic biofilm inhibitors from the Actinomycete library for attenuating biofilm formation by Staphylococcus epidermidis. After investigating the antibiofilm activities of spent media from 185 Actinomycete strains using two S. epidermidis strains (ATCC 35984 and a clinical strain 5‐121‐2) as target bacteria, three strains of tested Actinomycete (TRM 46200, TRM 41337, and TRM 46814) showed a significant inhibition against S. epidermidis biofilm formation without affecting the growth of planktonic cells. The characteristics of three strains of supernatants suggested that hydrophilic compound possibly extracellular peptides or proteins from these three strains, confer the biofilm reduction in S. epidermidis. An attempt was made to assess their effects on biofilm components and cell surface hydrophobicities in order to disclose acting mechanisms. The crude proteins from spent media of three strains degraded not only exopolysaccharides but also extracellular DNA in S. epidermidis biofilm. The active substances in crude proteins caused S. epidermidis cells to become less hydrophobic. Given these results, the metabolites from Actinomycete strains should keep further attention as potential antibiofilm agents against biofilm formation of S. epidermidis, even biofilm infections of the other bacteria.
Fusion of Hyperspectral and LiDAR Data Using Discriminant Correlation Analysis for Land Cover Classification

It is evident that using complementary features from different sensors is effective for land cover classification. Therefore, combining complementary information from hyperspectral (HS) and light detection and ranging (LiDAR) data can greatly assist in such applications. In this paper, we propose a model for land cover classification, which extracts effective features representing different characteristics (e.g., spectral, geometrical/structural) of objects of interest from these two complementary data sources (e.g., HS and LiDAR) and fuse them effectively by incorporating dimensionality reduction technique. The HS bands are first grouped based on their joint entropy and structural similarity for group-wise spatial feature extraction. The spectral and spatial features from HS are then fused in parallel via discriminant correlation analysis (DCA) method for each band group. This is followed by a multisource fusion step between the spatial features extracted from HS and LiDAR data using DCA. The resultant features from both band-group fusion and multisource fusion steps are concatenated with several other features extracted from HS and LiDAR data. In the proposed model, DCA fusion produces discriminative features by eliminating between-class correlations and confining within-class correlations. We compare the performance of our feature extraction and fusion scheme using random forest and support vector machine classifiers. We also compare our approach with several state-of-the-art approaches on two benchmark land cover datasets and show that our approach outperforms the alternatives by a large margin.
Analysis and Control of the Permanent Magnet Synchronous Motor With Auxiliary Modular Design

This paper presents the analysis and the fault-tolerant control strategy for a permanent magnet synchronous motor (PMSM) with auxiliary modular design. Due to the simple structure and the self-starting ability, the single-phase PMSM with U-shaped core got more attentions in early research; however, its development was limited by motor large torque ripple and low efficiency. As one effective solution, the PMSM with auxiliary modular design comes out, which can obtain a smooth operation feature with shifted magnet array and improve the system robustness with fault-tolerant control. Based on the proposed PMSM with auxiliary modular design, the motor mathematical model and control scheme are presented in this paper to illustrate motor characteristics and achieve the fault-tolerant ability. Finally, the motor prototype is tested, and the experimental results are used to verify the proposed steady operation and the fault-tolerant ability.
Qualitative and Quantitative FMECA on 220 kV Power Transformers

Power transformers are considered as one of the most significant parts in the electricity network since their replacement and repair process are costly and time consuming. In this respect, a general qualitative FMECA for outage causes of 220 kV power transformers is presented, including the local and final effects, and recommended actions to avoid these outages. Afterwards, quantitative CA is carried out on a case study, using the Egyptian survey of 220 kV power transformers failures during the period 2002–2009 of 252 (average number). The main target of this work is to provide the power utilities a guide, on identifying failure causes of power transformers, through FMECA technique, and the associated risks to achieve better maintenance strategies.
Nafamostat Mesilate Enhances the Radiosensitivity and Reduces the Radiation-Induced Invasive Ability of Colorectal Cancer Cells

Neoadjuvant chemoradiotherapy followed by radical surgery is the standard treatment for patients with locally advanced low rectal cancer. However, several studies have reported that ionizing radiation (IR) activates nuclear factor kappa B (NF-κB) that causes radioresistance and induces matrix metalloproteinase (MMP)-2/-9, which promote tumor migration and invasion. Nafamostat mesilate (FUT175), a synthetic serine protease inhibitor, enhances the chemosensitivity to cytotoxic agents in digestive system cancer cells by inhibiting NF-κB activation. Therefore, we evaluated the combined effect of IR and FUT175 on cell proliferation, migration and invasion of colorectal cancer (CRC) cells. IR-induced upregulation of intranuclear NF-κB, FUT175 counteracted this effect. Moreover, the combination treatment suppressed cell viability and induced apoptosis. Similar effects were also observed in xenograft tumors. In addition, FUT175 prevented the migration and invasion of cancer cells caused by IR by downregulating the enzymatic activity of MMP-2/-9. In conclusion, FUT175 enhances the anti-tumor effect of radiotherapy through downregulation of NF-κB and reduces IR-induced tumor invasiveness by directly inhibiting MMP-2/-9 in CRC cells. Therefore, the use of FUT175 during radiotherapy might improve the efficacy of radiotherapy in patients with CRC.
“Wear It Loud”

We investigate the role of aesthetic customization in managing sociocultural issues of assistive technology (AT) use. First, we examined an online forum dedicated to customized hearing aids and cochlear implants to understand the breadth of activity occurring in this space. Next, we conducted a series of interviews to understand motivational factors and sociocultural outcomes related to expressive AT. We found that community members discussed customization tools and techniques, shared their customizations, and provided each other with encouragement and support. Community members customized their devices as a means of self-expression that demonstrated the wearer's fashion sense, revealed favorite sports teams and characters, and marked holidays and personal milestones. We also found that aesthetic customization worked on multiple levels to create personal and meaningful relationships with one's AT and with other AT users, and also to manage societal expectations regarding hearing loss. Our findings may inform the design of assistive technologies that better support personalization, customization, and self-expression.
On the Capacity of MIMO Broadband Power Line Communications Channels

Communications over power lines in the frequency range above 2 MHz, commonly referred to as broadband (BB) power line communications (PLC), has been the focus of increasing research attention and standardization efforts in recent years. BB-PLC channels are characterized by a dominant colored non-Gaussian additive noise, as well as by periodic variations of the channel impulse response and of the noise statistics. In this paper, we study the fundamental rate limits for BB-PLC channels by bounding their capacity while accounting for the unique properties of these channels. We obtain explicit expressions for the derived bounds for several BB-PLC noise models, and illustrate the resulting fundamental limits in a numerical analysis.
An Improved Firefly Algorithm for the Unrelated Parallel Machines Scheduling Problem With Sequence-Dependent Setup Times

Research in the area of unrelated parallel machine scheduling problem (UPMSP) with sequence-dependent setup times has received little attention from the research community. However, this problem is NP-hard even without considering the setup times, and when sequence-dependent setup times are included, finding optimal solutions becomes very difficult, especially for the problems with large dimension. In this paper, a firefly algorithm (FA) which is refined with a local search solution improvement mechanism is presented to solve this problem, with the objective of reaching a near-optimum solution. Since the classical FA was originally designed for continuous optimization problems, a new solution representation scheme is designed to make the FA suitable for a combinatorial optimization problem such as the UPMSP. Three different popular metaheuristic algorithms are developed in parallel to verify and measure the effectiveness of the proposed algorithm. More so, the success of the novel firefly scheduling method is measured by comparing the quality of its solutions against the best-known methods from the literature. An exhaustive computational and statistical analysis is carried out to show an excellent performance of the new method on a large set of problem instances. The numerical results show that the improved FA is competitive, fast, and efficient and provide good quality solutions for both small and large problem instances.
Frontal network dynamics reflect neurocomputational mechanisms for reducing maladaptive biases in motivated action

Motivation exerts control over behavior by eliciting Pavlovian responses, which can either match or conflict with instrumental action. We can overcome maladaptive motivational influences putatively through frontal cognitive control. However, the neurocomputational mechanisms subserving this control are unclear; does control entail up-regulating instrumental systems, down-regulating Pavlovian systems, or both? We combined electroencephalography (EEG) recordings with a motivational Go/NoGo learning task (N = 34), in which multiple Go options enabled us to disentangle selective action learning from nonselective Pavlovian responses. Midfrontal theta-band (4 Hz–8 Hz) activity covaried with the level of Pavlovian conflict and was associated with reduced Pavlovian biases rather than reduced instrumental learning biases. Motor and lateral prefrontal regions synchronized to the midfrontal cortex, and these network dynamics predicted the reduction of Pavlovian biases over and above local, midfrontal theta activity. This work links midfrontal processing to detecting Pavlovian conflict and highlights the importance of network processing in reducing the impact of maladaptive, Pavlovian biases.
Sexual intimacy and marital relationships in a low-income urban community in India

Abstract Data from a six-year study of married women’s sexual health in a low-income community in Mumbai indicated that almost half the sample of 1125 women reported that they had a negative view of sex with their husbands. Qualitative interviews and quantitative survey data identified several factors that contributed to this diminished interest including: a lack of foreplay, forced sex, the difficulty of achieving privacy in crowded dwellings, poor marital relationships and communication, a lack of facilities for post-sex ablution and a strong desire to avoid conception. Women’s coping strategies to avoid husband’s demands for sex included refusal based on poor health, the presence of family members in the home and non-verbal communication. Factors that contributed to a satisfactory or pleasurable sexual relationship included greater relational equity, willingness on the part of the husband to not have sex if it is not wanted, a more ‘loving’ (pyaar karna) approach, women able to initiate sex and greater communication about sexual and non-sexual issues. This paper examines the ecological, cultural, couple and individual dynamics of intimacy and sexual satisfaction as a basis for the development of effective interventions for risk reduction among married women.
LncRNA‐PCAT1 targeting miR‐145‐5p promotes TLR4‐associated osteogenic differentiation of adipose‐derived stem cells

This study was aimed to explore the differential expression of long noncoding RNAs (lncRNA)‐PCAT1, miR‐145‐5p and TLR4 in osteogenic differentiation via the Toll‐like receptor (TLR) signalling pathway and consequently determine the potential molecular mechanism. The mRNAs and pathways related to the osteogenic differentiation in human adipose‐derived stem cells (hADSCs) were analysed by bioinformatics. The MiRanda and TargetScan database were employed to detect the potential binding sites of miRNAs on lncRNAs and mRNAs. The differential expression of lncRNA‐PCAT1, miR‐145‐5p and TLR4 were detected by qRT‐PCR. Rrelated protein expression was analysed by Western blot. The targeted relationships between lncRNA‐PCAT1, miR‐145‐5p and TLR4 were verified by dual‐luciferase reporter assay. Alkaline phosphatase (ALP) activity and ARS staining assays were used to measure the impacts exerted by lncRNA PCAT1, miR‐145‐5p and TLR4 mRNA on osteogenic differentiation. After the induction of osteoblast differentiation, the expression of lncRNA‐PCAT1 and TLR4 increased, while the expression of miR‐145‐5p decreased. Dual‐luciferase reporter assay confirmed the targeted relationship between lncRNA‐PCAT1, miR‐145‐5p, and TLR4. LncRNA‐PCAT1 negatively regulated miR‐145‐5p and positively regulated TLR4. Knockdown of lncRNA‐PCAT1 or TLR4 decreased the expression of osteogenic differentiation‐related proteins, reduced the ALP and ARS levels and the activity of the TLR signalling pathway. MiR‐145‐5p could reverse the effects of PCAT1 and TLR4 in hADSCs osteogenic differentiation. LncRNA‐PCAT1 negatively regulated miR‐145‐5p, which promoted TLR4 expression to promote osteogenic differentiation by activating the TLR signalling pathway.
Effect of exercise modality on markers of insulin sensitivity and blood glucose control in pregnancies complicated with gestational diabetes mellitus: a systematic review

Exercise can be used as a strategy to attenuate hyperglycaemia experienced during gestational diabetes mellitus (GDM). To maximize its use for clinical management, the most effective modality should be identified. The purpose of this review is to elucidate the most effective modality of exercise on insulin sensitivity and blood glucose control in pregnant women with or at risk of GDM.
Adult Perception Toward Videogames and Physical Activity Using Pokémon Go.

Objective: The purpose of the study was to determine perception of videogames and the use Pokémon Go in Costa Rica. Materials and Methods: A national representative sample (n = 1059) of adults aged 18 years and older was chosen to complete a face-to-face survey on videogame perceptions and the use of Pokémon Go. Statistical analyses included 95% confidence intervals (95% CI) around the estimate, multiple regression, cluster, and factor analysis. Results: The 85.2% of the population (n = 866) were familiar with videogames, especially those in the 18- to 29-year age group (96.3%) and college education (94.8%). Perceptions about videogames were negative (Addictive = 89.6%, Violence = 75.5%, Bad for health = 51.3%) and positive (Stimulate mental abilities = 59.6%, Relaxing = 55.2%, Improve family communication = 49.4%); and 28.4% perceived that people without responsibilities played videogames. Perceptions were different by age group and educational level. Age and gender were significant predictors of attitudes toward videogame playing. Pokémon Go was played by 3.9% of those respondents who knew or had heard about videogames, who reported spending 6.7 h/week (95% CI = 3.9-9.5) playing the game, walking 24.7 km (95% CI = 12.5-36.9), and covering 70.4 km (95% CI = 45.3-95.5) by other transportation means. Conclusions: Positive and negative perceptions toward videogames mediated by age and education level were found in a Costa Rican sample. Age and gender predicted attitudes toward videogame playing. A small number of participants played Pokémon Go, which might suggest that this videogame was not engaging in this population.
Innovative MIMO Antennas for 5G Communication Systems

A key element in next generation 5G communication systems is the adopted antenna configuration. Among several possible solutions, particularly interesting for this application are the Multiple-Input Multiple-Output (MIMO) antennas, that allow to improve the channel capability exploiting the spatial properties of the channel itself. In this paper, after some general considerations on MIMO antennas, some preliminary results on an innovative configuration for their realization are presented.
Prognostic Value of ALT, AST, and AAR in Hepatocellular Carcinoma with B-Type Hepatitis-Associated Cirrhosis after Radical Hepatectomy.

BACKGROUND Alanine aminotransferase (ALT), aspartate aminotransferase (AST), and AST to ALT ratio (AAR) were shown to be associated with prognosis in some groups of hepatocellular carcinoma (HCC). However, their clinicopathologic and prognostic roles in HCC patients with B-type hepatitis-associated cirrhosis (HBAC) have not been comprehensively investigated. The present study aimed to address the issues. METHODS A total of 125 patients with HCC and HBAC after radical hepatectomy were included. The correlations of ALT, AST, and AAR with clinicopathologic parameters, overall/recurrence-free survival, overall/early recurrence, and post-recurrence survival were evaluated using univariate and multivariate analyses. RESULTS ALT and AST, which positively correlated with each other, had significant relationships with tumornode-metastasis (TNM) stage and Edmondson-Steiner grade. In univariate analyses, ALT and AST were predictive for early recurrence, overall and recurrence-free survival, while ALT and AST was associated with overall recurrence and post-recurrence survival, respectively. However, only AST was marginally significant in multivariate tests for early recurrence and post-recurrence survival. As for AAR, no significant prognostic relevance was found. CONCLUSIONS Our data suggest that ALT and AST, but not AAR, might be potential predictors of post-resectional outcome in HCC with HBAC. These effects might depend on their associations with crucial clinicopathologic variables.
Meta-Analysis of the Alliance–Outcome Relation in Couple and Family Therapy

This article reviews meta-analytic evidence for the alliance–outcome relation in couple and family therapy (CFT), with implications for clinical practice. We begin by describing the unique features of CFT alliances and their measurement, followed by two case descriptions. We explain that due to the systemic context of CFT, each patient’s personal alliance with the therapist affects and is affected by other family members’ levels of collaboration. Because family members often seek help when they are in conflict with one another, “split” alliances are common, as are problematic within-system alliances, defined as the degree to which family members agree on the nature of their problems and value participating in therapy together to achieve shared goals. In our meta-analysis of 48 studies with 40 independent samples, we used a three-level random effects model (Ns = 2,568 families, 1,545 couples, and 491 effect sizes) and found r = . 297. In another analysis with seven independent samples and 31 effect sizes, the split alliance–outcome association was also significant, r = . 316, indicating that the more split or unbalanced the alliance, the poorer the outcome. Moderator analyses showed that alliance–outcome associations did not differ for couple versus family therapy, but correlations were significantly stronger in samples with younger problem children, older adults, proportionally more male youth and adults, and when the families voluntarily sought help (as compared with involuntary or mandated families). The article concludes with research-informed strategies for building and sustaining strong systemic alliances in CFT.
On Opportunistic Energy Harvesting and Information Relaying in Wireless-Powered Communication Networks

This paper studies a new design of a wireless-powered relay network to improve its throughput performance by opportunistic energy harvesting (EH) and information relaying (IR) at the relay node. To enable the relay to implement opportunistic EH and IR, a new protocol, namely, the adaptive harvest-store-forward (AHSF) protocol, is proposed. In the AHSF protocol, the relay is allowed to adaptively switch between an EH mode and a power-splitting (PS)-based IR mode at the beginning of each time frame; moreover, the relay can adaptively determine the amount of energy for IR based on the wireless channel conditions over one finite time horizon, which consists of multiple consecutive time frames. Then, under the proposed protocol, a throughput maximization problem is formulated to optimize the relay operation mode (i.e., EH mode or IR mode) and resource allocation (i.e., time slot, PS ratio, and power allocation) in the IR mode in a finite time horizon. The formulated problem is coupled over time and, thus, is intractable. To address the intractability, dynamic programming is employed to transform the problem into a series of Bellman equations. Based on the Bellman equations, the optimal decision criteria for the relay operation mode is derived, and a time-coupled optimization problem for the resource allocation in the IR mode is addressed by decoupling into two subproblems for two adjacent time frames. By solving the subproblems via convex programming, an optimization policy with causal channel-state information (CSI), which can be implemented online in real time, and an optimization policy with full CSI, which is used to reveal the upper bound of the achieved throughput, are achieved. The simulation results verify that the proposed design can yield significant throughput gains over the existing wireless-powered relaying schemes.