Miracle-dz/UniFAR-FTUs huggingface dataset:
How We Do the Work Is the Work: Building an Intersectional Queer Praxis for Critical Feminist Scholarship

In this reflection (which is a revised version of a recent keynote address), I invite feminist social work scholars to consider what it might look like to build our scholarship through an intersectional queer praxis. I posit that as critical feminist scholars, it is important that we consider not only the topics we study but also how we do our work. Specifically, I propose an intersectional queer praxis that brings together key tenets of Slow scholarship with queer lived experiences and critical theoretical lens(es) that assert that queer is destabilizing of dominant ideologies and a challenge to normative ways of being. I discuss four interrelated dimensions of intersectional queer praxis that draw upon Slow scholarship and elements of queer life: (1) reimagining time; (2) centering relationships, community care, and collaboration; (3) embracing complexity and disrupting binaries; and (4) attention to embodiment and emotion. I argue that employing this kind of intersectional queer praxis challenges dominant approaches to academic knowledge production and carries with it new possibilities and creative imaginings for how we do our work. This talk is an invitation to think collectively, to reflect, and to raise questions for us as social work scholars as we continue to build a more robust practice of critical feminist scholarship.
On the Kinematical Behavior of Galaxies in Clusters

The sample of 15 galaxy clusters published by Dressler and Shectman (1988) has been analyzed to search for a tendency for spiral and irregular galaxies to have greater velocity dispersion than the ellipticals and lenticulars. It is shown that this trend is highly significant, with a probability of less than 0.05 percent that it may result from statistical fluctuations in the sample of clusters. An analogous but much less significant effect appears also to be present between lenticular and elliptical galaxies. These results are interpreted as evidence that late-type galaxies are still in the process of infalling toward the virialized cluster cores. 34 refs.
A blind watermarking scheme based on structured codebooks

Blind digital watermarking is the communication of information via multimedia host data, where the unmodified host data is not available to the watermark detector. Many watermarking schemes suffer considerably from the remaining host-signal interference. For the additive white Gaussian case, M.H. M. Costa (1983) showed theoretically that interference from the host can be eliminated. However, the proof involves a huge, unstructured, random codebook, which is not feasible in practical systems. We present a suboptimal, practical scheme that employs a lattice-structured codebook to reduce complexity. The performance of the proposed scheme is compared to the information-theoretic limit and similar recent proposals.
Pulse length effects on the transmissivity of bubbly water

The passage of sound through bubbly water is strongly attenuated by scattering and absorption. Such attenuation is most severe around the frequency of resonance of individual bubbles. A bubble takes a finite time to ring up to steady‐state conditions and continues to oscillate for a finite time after the driving pressure erases. Low backscatter for short pulse lengths has been observed in near‐surface seawater [Akulichev et al., Soc. Phys. Acoust. 32, no. 3]. An experiment is described that looked for a corresponding enhancement in transmission. Comparisons were made between the attenuations of brief waveform bursts and longer bursts. The frequency range of this experiment was 50–200 kHz. The bubbles were made by the electrolysis of fresh water in a small laboratory tank. For bursts of 6–20 wavelengths in duration, no difference in the attenuations was discerned in comparison with a 2.7 wavelength duration burst. [Work supported by ONR. ]
Targeting Persistent Changes in Neuroimmune and Epigenetic Signaling in Adolescent Drinking to Treat Alcohol Use Disorder in Adulthood

Studies universally find early age of drinking onset is linked to lifelong risks of alcohol problems and alcohol use disorder (AUD). Assessment of the lasting effect of drinking during adolescent development in humans is confounded by the diversity of environmental and genetic factors that affect adolescent development, including emerging personality disorders and progressive increases in drinking trajectories into adulthood. Preclinical studies using an adolescent intermittent ethanol (AIE) exposure rat model of underage binge drinking avoid the human confounds and support lifelong changes that increase risks. AIE increases adult alcohol drinking, risky decision-making, reward-seeking, and anxiety as well as reductions in executive function that all increase risks for the development of an AUD. AIE causes persistent increases in brain neuroimmune signaling high-mobility group box 1 (HMGB1), Toll-like receptor, receptor for advanced glycation end products, and innate immune genes that are also found to be increased in human AUD brain. HMGB1 is released from cells by ethanol, both free and within extracellular vesicles, that act on neurons and glia, shifting transcription and cellular phenotype. AIE-induced decreases in adult hippocampal neurogenesis and loss of basal forebrain cholinergic neurons are reviewed as examples of persistent AIE-induced pathology. Both are prevented and reversed by anti-inflammatory and epigenetic drugs. Findings suggest AIE-increased HMGB1 signaling induces the RE-1 silencing transcript blunting cholinergic gene expression, shifting neuronal phenotype. Inhibition of HMGB1 neuroimmune signaling, histone methylation enzymes, and galantamine, the cholinesterase inhibitor, both prevent and reverse AIE pathology. These findings provide new targets that may reverse AUD neuropathology as well as other brain diseases linked to neuroimmune signaling. Significance Statement Adolescent underage binge drinking studies find that earlier adolescent drinking is associated with lifelong alcohol problems including high levels of lifetime alcohol use disorder (AUD). Preclinical studies find the underage binge drinking adolescent intermittent ethanol (AIE) model causes lasting changes in adults that increase risks of developing adult alcohol problems. Loss of hippocampal neurogenesis and loss of basal forebrain cholinergic neurons provide examples of how AIE-induced epigenetic and neuroimmune signaling provide novel therapeutic targets for adult AUD.
Human–Robot Collaboration Using Sequential-Recurrent-Convolution-Network-Based Dynamic Face Emotion and Wireless Speech Command Recognitions

The proposed sequential recurrent convolution network (SRCN) includes two parts: one convolution neural network (CNN) and a sequence of long short-term memory (LSTM) models. The CNN is to achieve the feature vector of face emotion or speech command. Then, a sequence of LSTM models with the shared weight reflects a sequence of inputs provided by a (pre-trained) CNN with a sequence of input sub-images or spectrograms corresponding to face emotion and speech command, respectively. Simply put, one SRCN for dynamic face emotion recognition (SRCN-DFER) and another SRCN for wireless speech command recognition (SRCN-WSCR) are developed. The proposed approach not only effectively tackles the recognitions of dynamic mapping of face emotion and speech command with average generalized recognition rate of 98% and 96.7% but also prevents the overfitting problem in a noisy environment. The comparisons among mono and stereo visions, Deep CNN, and ResNet50 confirm the superiority of the proposed SRCN-DFER. The comparisons among SRCN-WSCR with noise-free data, SRCN-WSCR with noisy data, and multiclass support vector machine validate its robustness. Finally, the human-robot collaboration (HRC) using our developed omnidirectional service robot, including human and face detections, trajectory tracking by the previously designed adaptive stratified finite-time saturated control, face emotion and speech command recognitions, and music play, validates the effectiveness, feasibility, and robustness of the proposed method.
Weighting-Based Deep Ensemble Learning for Recognition of Interventionalists’ Hand Motions During Robot-Assisted Intravascular Catheterization

Robot-assisted intravascular interventions have evolved as unique treatments approach for cardiovascular diseases. However, the technology currently has low potentials for catheterization skill evaluation, slow learning curve, and inability to transfer experience gained from manual interventions. This study proposes a new weighting-based deep ensemble model for recognizing interventionalists' hand motions in manual and robotic intravascular catheterization. The model has a module of neural layers for extracting features in electromyography data, and an ensemble of machine learning methods for classifying interventionalists' hand gestures as one of the six hand motions used during catheterization. A soft-weighting technique is applied to guide the contributions of each base learners. The model is validated with electromyography data recorded during in-vitro and in-vivo trials and labeled as many-to-one sequences. Results obtained show the proposed model could achieve 97.52% and 47.80% recognition performances on test samples in the in-vitro and in-vivo data, respectively. For the latter, transfer learning was applied to update weights from the in-vitro data, and the retrained model was used for recognizing the hand motions in the in-vivo data. The weighting-based ensemble was evaluated against the base learners and the results obtained shows it has a more stable performance across the six hand motion classes. Also, the proposed model was compared with four existing methods used for hand motion recognition in intravascular catheterization. The results obtained show our model has the best recognition performances for both the in-vitro and in-vivo catheterization datasets. This study is developed toward increasing interventionalists' skills in robot-assisted catheterization.
PDMS networks meet barnacles: a complex and often toxic relationship

Abstract The biological impact of chemical formulations used in various coating applications is essential in guiding the development of new materials that directly contact living organisms. To illustrate this point, an investigation addressing the impact of chemical compositions of polydimethylsiloxane networks on a common platform for foul-release biofouling management coatings was conducted. The acute toxicity of network components to barnacle larvae, the impacts of aqueous extracts of crosslinker, silicones and organometallic catalyst on trypsin enzymatic activity, and the impact of assembled networks on barnacle adhesion was evaluated. The outcomes of the study indicate that all components used in the formulation of the silicone network alter trypsin enzymatic activity and have a range of acute toxicity to barnacle larvae. Also, the adhesion strength of barnacles attached to PDMS networks correlates to the network formulation protocol. This information can be used to assess action mechanisms and risk–benefit analysis of PDMS networks.
Interrelationship between the Use of New Agricultural Inputs and Socio-economic Factors

This paper deals with interrelationship between the use of new agricultural technology and socio-economic factors in Dhankuta municipality, eastern hills of Nepal. This area offers a lot of resources; here the researcher examines the role of socio-economic factors to diffuse new technology in this area too. Relevant data were obtained from both primary and secondary sources. Primary data were collected from the interview, key informant survey and field observation. For this, approximately 33 percent sample households (166hhs) were selected out of total 506 households from ward no. 3 of the municipality. Similarly, secondary data were gathered from various books, journals and official records. To identify the mutual relationship between these components, mathematical tools chi-square test and Karl Pearson's correlation were performed. The study reveals that there is a close relationship between the use of new agricultural inputs and socio-economic factors of the study area. The relationship seems highly significant between age, training, farm size, service of agriculture service center and membership of farmers in organization and adoption of new agricultural technologies however; the inter-connection with sex, ethnicity and education of the farmers reveals less significant among these factors. Nowadays, more than 78 percent (130hhs) farmers are using such inputs in the study area and the remarkable change in crop production can easily be seen due to the impact such innovations.
Interventions to Improve Social Climate in Acute Mental Health Inpatient Settings: Systematic Review of Content and Outcomes

Introduction Quantification of the social climate of mental health care environments has received considerable attention. Investigations of the resulting measures indicate that social climate is associated with individual outcomes including patient satisfaction and staff burnout. Interest has grown in developing interventions to improve social climate in anticipation of subsequent related benefits. This study aimed to identify and critically review research about the effectiveness of interventions for improving social climate in inpatient adult acute mental health settings. Methods Systematic review reported in line with the Preferred Reporting Items for Systematic reviews and Meta-Analyses. Comprehensive terms were used to search multiple electronic databases from inception to July 2019. Information about intervention type(s), complexity was extracted and study quality was assessed. Results Twenty-three papers met inclusion criteria of which 20 used a pretest–posttest study design and three employed randomized and/or controlled designs. Interventions were environmental/structural, operational/process-oriented and developmental/person-oriented in nature and they ranged in complexity. The Ward Atmosphere Scale was the most common outcome measure used. Following quality assessment, six studies were judged to be sufficiently robust in terms of quality, theory-base, user-inclusion, and outcomes evaluation to contribute credibly to the evidence base. Of these, four complex person- and process-oriented intervention studies and two less complex structural/environmental intervention studies resulted in positive outcomes. Conclusion There is limited strong evidence that interventions positively influence measures of ward social climate in acute adult mental health settings. Such measures should not be the sole criterion of success when evaluating change. Decisions about implementing change to improve social climate should be informed by meaningful proxy measures including the views and preferences of service users and other stakeholders. Studies using stronger designs are required to establish the ability of interventions to improve social climate.
Pathways between soil moisture and precipitation in southeastern South America

Southeastern South America (SESA) is found to be the main hot spot of soil moisture–evapotranspiration coupling of South America during a dry summer. However, only its eastern part is a soil moisture–precipitation hot spot. Pathways between soil moisture and precipitation are evaluated through studying the coupling of soil moisture with surface and boundary layer variables. The outcome suggests that both the moist static energy and its vertical gradient are important for the development of precipitation, as a result of the total surface heat fluxes that are affected by soil moisture only in the eastern part of SESA.
Non-monotonic relationships between cell adhesion and protrusions

Cells probe their environments by extending protrusions: this process is mediated by the polymerization of actin gels at the edge of cells. Although their molecular components have been widely studied, their mesoscopic properties remain to be characterized. In this paper, we show that cell adhesion modulates actin gel dynamics. By changing the grafting density of fibronectin on a surface, we changed the adhesion strength of a cell on this surface. We found that the length of filopodia, the speeds of their growth and the speeds of retrograde flows were non-monotonic functions of the grafting density of fibronectin. The minima of the length and speeds of filopodia and the maximum of the speeds of retrograde flows are found at the same fibronectin density; this implies that there are strong correlations between these parameters. We used a simple model to predict that retrograde flows show non-monotonic behaviors because integrin–fibronectin binding mediates actomyosin and friction forces applied to actin gels. This model also predicts that connectivity of actin gels is responsible for the strong correlations between retrograde flows and filopodial growth. Altogether, our study investigates how actomyosin forces and friction with the substrate influence actin gel dynamics in living cells.
Tracking the Effects of Tumor Treating Fields on Human Breast Cancer Cells in vitro Using a Capacitance Sensing Lab-on-CMOS Microsystem

We report on a novel microsystem for assessing the effects of tumor treating fields on cancer cells. The platform features at its core an integrated capacitance sensor fabricated in a $\mathbf{0.35} \mu \mathbf{m}$ CMOS process. The device also includes a cell culture well and miniaturized electrodes for generating arbitrary TTField spatial patterns. The measured capacitance data show a clear distinction between cell cultures treated with TTFields relative to those that remain unexposed. The proposed approach provides an inexpensive, real-time, and label-free means to conduct mechanistic TTField studies in vitro.
Fibrosis-Associated Signaling Molecules Are Differentially Expressed in Palmar Connective Tissues of Patients with Carpal Tunnel Syndrome and Dupuytren’s Disease

Carpal tunnel syndrome (CTS) and Dupuytren’s disease (DD) are fibrotic conditions that affect the connective tissue of the hand and limit its functionality. The exact molecular mechanism underlying the fibrosis is unknown, and only some profibrotic factors have been investigated. In this cross-sectional study, we analyzed the expression of FGF signaling pathway molecules associated with fibrotic changes in the palmar fascia and the flexor retinaculum of 15 CTS patients and both clinically affected and unaffected palmar fascia of 15 DD patients, using immunofluorescence techniques. The expression of FGFR1, FGFR2, and CTGF in the blood vessel walls and surrounding connective tissue cells differed significantly between the analyzed groups, with changes in expression present even in clinically unremarkable tissues from DD patients. We also found altered expression of the analyzed factors, as well as TGF-β1 and syndecan-1 in DD-associated sweat glands, possibly implicating their role in the pathophysiology of the disease. The increased expression of profibrotic factors in the clinically unaffected palmar fascia of DD patients may indicate that more extensive excision is needed during surgical treatment, while the profibrotic factors could be potential targets for developing pharmacological therapeutic strategies against DD-associated fibrosis.
Recognition and Assessment of Antidotal Effects of Diphenhydramine against Acute Carbaryl Insecticide Poisoning in a Chick Model

Diphenhydramine antagonizes poisoning produced by cholinesterase (ChE) inhibiting insecticides. This study examines the effects of diphenhydramine against acute poisoning induced by the carbamate insecticide carbaryl in a chick model. The effects of diphenhydramine on the 24 h median Lethal Dose (LD50), and acute toxicity of carbaryl were assessed in chicks (7-15 days old). The plasma and whole brain ChE activities were measured electrometrically in vitro and in vivo. Diphenhydramine at 10mg/Kg Body wt. administered intramuscularly 15 min before carbaryl dosing increased the oral LD50 value of carbaryl (207 mg/Kg Body wt.) by 62%. Carbaryl at 250 mg/Kg Body wt. has orally produced toxidrome of cholinergic poisoning with 100% lethality in 24 h. Diphenhydramine (10mg/ Kg Body wt.) used 15 min before carbaryl (250mg/Kg Body wt., orally) was the most effective dose (vs 5 and 20mg/Kg Body wt.) in delaying carbaryl-toxicity and increasing survivals in chicks. The intramuscular median effective dose (ED50) of diphenhydramine which prevented 24 h carbaryl-death in chicks was 8.6mg/ Kg Body wt. The antidotal response to diphenhydramine was similar to that of the standard antidote atropine sulfate. Diphenhydramine at 10mg/Kg Body wt. , given immediately after carbaryl (200mg/Kg Body wt.), reduced the percentages of plasma and whole brain ChE inhibitions in vivo by 12- and 13%, respectively. Carbaryl (10μmol/L) in vitro inhibited ChE activities in the plasma and brain by 53 and 77%, respectively; these inhibitions were reduced by 13- and 14%, respectively, when diphenhydramine (10μmol/L) was added to in vitro reactions. Diphenhydramine exerted antidotal action against a model of acute and lethal carbaryl intoxication in chicks.
Three-order normalized PMI and other lessons in tensor analysis of verbal selectional preferences

We investigate several questions in transitive verb structure representation by decomposing tensors populated with different subject-verb-object association measures, including a novel generalization of normalized pointwise mutual information to the higher-order (>2) case. Which association measure works the best in modeling verb structures? Should we include occurrences with un-ﬁlled arguments in our statistics? We also investigate qualitatively the latent dimensions, and the difference between each noun as a subject versus an object.
Don’t kill the rainbow: A cross-country comparison of LGBT+ violence drivers in Latin America, the cases of Argentina and Colombia.

Following two decades of expansions across the globe, sexual orientation and gender identity (SOGI) rights are now being strongly contested as is evident by growing violent attacks against the LGBT+ community. In this precarious context for this previously neglected minority, Latin America presents a paradoxical situation where favourable SOGI legislations clash with a high rate of violence against the LGBT+ community. Whereas previous research has mainly focused on understanding the uneven development of SOGI rights and how to promote it, very little academic attention has been paid to the analysis of SOGI violence and how to better tackle it. The present country cross-comparison between Argentina and Colombia offers insight into the potential linkage between SOGI rights recognition, national violence trends and selected drivers of violence. The findings suggest that the actors passing favourable SOGI laws, the backlash and religious affiliation appear to affect the increase of violence. However, favourable general opinion towards the LGBT+ community might be a variable overriding backlash and the aspect of religious affinity. Most surprisingly, the findings hint that SOGI rights recognition does not have a definite impact in decreasing SOGI related violence in the short-term. To prevent future recession of rights and increased violence, more empirical research is needed to establish direct causality between these variables and additional drivers of SOGI violence with specific attention to the regional nuances which are at play.