Miracle-dz/UniFAR-FTUs huggingface dataset:
How Has the Internet Reshaped Human Cognition?

Throughout our evolutionary history, our cognitive systems have been altered by the advent of technological inventions such as primitive tools, spoken language, writing, and arithmetic systems. Thirty years ago, the Internet surfaced as the latest technological invention poised to deeply reshape human cognition. With its multifaceted affordances, the Internet environment has profoundly transformed our thoughts and behaviors. Growing up with Internet technologies, “Digital Natives” gravitate toward “shallow” information processing behaviors characterized by rapid attention shifting and reduced deliberations. They engage in increased multitasking behaviors that are linked to increased distractibility and poor executive control abilities. Digital natives also exhibit higher prevalence of Internet-related addictive behaviors that reflect altered reward-processing and self-control mechanisms. Recent neuroimaging investigations have suggested associations between these Internet-related cognitive impacts and structural changes in the brain. Against mounting apprehension over the Internet’s consequences on our cognitive systems, several researchers have lamented that these concerns were often exaggerated beyond existing scientific evidence. In the present review, we aim to provide an objective overview of the Internet’s impacts on our cognitive systems. We critically discuss current empirical evidence about how the Internet environment has altered the cognitive behaviors and structures involved in information processing, executive control, and reward-processing.
Activin and follistatin interactions in the male reproductive tract: activin expression and morphological abnormalities in mice lacking follistatin 288

Activin A is an important regulator of testicular and epididymal development and function, as well as inflammation and immunity. In the adult murine reproductive tract, activin A mRNA (Inhba) expression levels are highest in the caput epididymis and decrease progressively towards the distal vas deferens. The activin‐binding protein, follistatin (FST), shows the opposite expression pattern, with exceptionally high levels of the Fst288 mRNA variant in the vas deferens. This unique pattern of expression suggests that activin A and follistatin, in particular FST288, play region‐specific roles in regulating the epididymis and vas deferens. The cellular distribution of activin and follistatin and structural organization of the male reproductive tract was examined in wild‐type and transgenic (TghFST315) mice lacking FST288. Compared to wild‐type littermates, TghFST315 mice showed a 50% reduction in serum follistatin and a significant elevation of both activin A and B. Testicular, epididymal and seminal vesicle weights were reduced, but intra‐testicular testosterone was normal. A decrease in the epididymal duct diameter in the corpus and thickening of the peritubular smooth muscle in the cauda, together with increased coiling of the proximal vas deferens, were observed in TghFST315 mice. No immune cell infiltrates were detected. Immunohistochemistry indicated that epithelial cells are the main source of activins and follistatin in the epididymis and vas deferens. Activin A, but not activin B, was also localized to sperm heads in the lumen of the epididymis and vas deferens. Expression of Inhba and another immunoregulatory gene, indoleamine‐2,3‐dioxygenase (Ido‐1), was increased approximately twofold in the TghFST315 caput epididymis, but several other genes associated with immunoregulation, inflammation or fibrosis were unaffected. Our novel data indicate that disruption of follistatin expression has significant effects on the testis and epididymis, and suggest an association between activin A and indoleamine‐2,3‐dioxygenase in the caput epididymis, with implications for the epididymal immunoenvironment.
Determinants, Prevalence, and Trajectory of Long-Term Post-Stroke Cognitive Impairment: Results from a 4-Year Follow-Up of the ARCOS-IV Study

Background: The long-term (>12 months) prevalence, predictors, and trajectory of post-stroke cognitive deficits are not well established, especially at a community level. This study investigated the longitudinal course and prevalence of cognitive impairment in an incidence cohort, identifying factors associated with declining cognition. Methods: Two hundred fifty-seven participants (mean age = 67.93 ± 13.59) of first-ever stroke survivors, completed cognitive assessments within 2 weeks post stroke, and/or 1, 6, 12, and 48-month. Multivariate linear and logistic models were used to identify baseline predictors (reported as OR with 95% CI) and trajectory of cognitive impairment. Results: Cognitive functioning significantly declined by 2.8 points by 4 years post stroke. Eighty-four percent of stroke survivors had cognitive impairment indicative of post-stroke dementia (mean Montreal cognitive assessment = 20 ± 4.7) at 4-year. There were significant associations between progressive cognitive decline and the following factors: male gender (OR 2.9, 95% CI 1.6–5.9, p = 0.0171), coronary artery disease (OR 2.96, 95% CI 1.35–6.49, p = 0.0070), arrhythmia (OR 2.21, 95% CI 1.07–4.57, p = 0.0317), not in a relationship (OR 2.8, 95% CI 1.4–5.50, p < 0.0001), and not employed (OR 4.9, 95% CI 1.9–12.1, p < 0.0001). Conclusions: Cognitive deficits remain highly prevalent at 4-year post stroke. Early identification of those at higher risk of declining cognition is vital to target rehabilitation interventions at the acute stage and improve overall outcomes.
Contractile injection systems of bacteriophages and related systems

Contractile tail bacteriophages, or myobacteriophages, use a sophisticated biomolecular structure to inject their genome into the bacterial host cell. This structure consists of a contractile sheath enveloping a rigid tube that is sharpened by a spike‐shaped protein complex at its tip. The spike complex forms the centerpiece of a baseplate complex that terminates the sheath and the tube. The baseplate anchors the tail to the target cell membrane with the help of fibrous proteins emanating from it and triggers contraction of the sheath. The contracting sheath drives the tube with its spiky tip through the target cell membrane. Subsequently, the bacteriophage genome is injected through the tube. The structural transformation of the bacteriophage T4 baseplate upon binding to the host cell has been recently described in near‐atomic detail. In this review we discuss structural elements and features of this mechanism that are likely to be conserved in all contractile injection systems (systems evolutionary and structurally related to contractile bacteriophage tails). These include the type VI secretion system (T6SS), which is used by bacteria to transfer effectors into other bacteria and into eukaryotic cells, and tailocins, a large family of contractile bacteriophage tail‐like compounds that includes the P. aeruginosa R‐type pyocins.
Confidence sets for optimal factor levels of a response surface

Construction of confidence sets for the optimal factor levels is an important topic in response surfaces methodology. In Wan et al. (2015), an exact (1−α) confidence set has been provided for a maximum or minimum point (i.e., an optimal factor level) of a univariate polynomial function in a given interval. In this article, the method has been extended to construct an exact (1−α) confidence set for the optimal factor levels of response surfaces. The construction method is readily applied to many parametric and semiparametric regression models involving a quadratic function. A conservative confidence set has been provided as an intermediate step in the construction of the exact confidence set. Two examples are given to illustrate the application of the confidence sets. The comparison between confidence sets indicates that our exact confidence set is better than the only other confidence set available in the statistical literature that guarantees the (1−α) confidence level.
Spoken and Written Narratives in Swedish Children and Adolescents With Hearing Impairment

Twenty 10- to 18-year-old children and adolescents with varying degrees of hearing impairment (HI) and hearing aids (HA), ranging from mild-moderate to severe, produced picture-elicited narratives in a spoken and written version. Their performance was compared to that of 63 normally hearing (NH) peers within the same age span. The participants with HI and NH showed similar patterns regarding intragroup correlations between corresponding measures of spoken and written narratives. However, the participants with HI had significantly less diverse language than the NH group. The participants with poorer hearing (higher best ear hearing level [BEHL]) produced spoken and written narratives comprising more content words and they also produced written narratives that were less lexically diverse than the participants with better hearing (lower BEHL). The difference as to lexical skills emphasizes the importance of focusing on these skills in the group of children with HI. However, the results give support for a quite optimistic view on the development of narration in children with HI with HA, at least for picture-elicited narratives.
Expression Profiling of Cytokine, Cholinergic Markers, and Amyloid-β Deposition in the APPSWE/PS1dE9 Mouse Model of Alzheimer’s Disease Pathology

Background: Alzheimer’s disease (AD), a neurodegenerative disease, is associated with dysfunction of the olfactory and the entorhinal cortex of the brain that control memory and cognitive functions and other daily activities. Pro-inflammatory cytokines, amyloid-β (Aβ), and the cholinergic system play vital roles in the pathophysiology of AD. However, the role of changes in cholinergic system components, Aβ accumulation, and cytokines in both the olfactory and entorhinal cortex is not known clearly. Objective: The present study is aimed to evaluate the changes of cholinergic system components, Aβ accumulation, and cytokines in both the olfactory bulb (OB) and entorhinal cortex (EC) of young and aged APPSWE/PS1dE9 transgenic (Tg) mice. Methods: We have explored the changes of cholinergic system components, Aβ accumulation, and expression profiling of cytokines in the OB and EC of aged APPswe transgenic mice and age-matched wild type mice using quantitative Real-Time PCR assays and immunohistochemistry techniques. Results: In aged Tg mice, a significant increase of expression of interleukin (IL)-1β, tumor necrosis factor (TNF)-α, and chemokine MCP1 (p < 0.001, p < 0.001, and p = 0.001, respectively) and a significant reduction of nAChRα4 (p = 0.048) and AChE (p = 0.023) was observed when compared with age-matched wild type mice. Higher levels of AChE and BuChE are expressed in OB and EC of the APPSWE/PS1dE9 of Tg mice. Aβ accumulation was observed in OB and EC of the APPSWE/PS1dE9 of Tg mice. Conclusion: The study demonstrates the expression profiling of pro-inflammatory cytokines and cholinergic markers as well as Aβ accumulation in OB and EC of the APPSWE/PS1dE9 Tg mice. Moreover, the study also demonstrated that the APPSWE/PS1dE9 Tg mice can be useful as a mouse model to understand the role of pro-inflammatory cytokines and cholinergic markers in pathophysiology of AD.
Scalable kernel-based variable selection with sparsistency

Variable selection is central to high-dimensional data analysis, and various algorithms have been developed. Ideally, a variable selection algorithm shall be flexible, scalable, and with theoretical guarantee, yet most existing algorithms cannot attain these properties at the same time. In this article, a three-step variable selection algorithm is developed, involving kernel-based estimation of the regression function and its gradient functions as well as a hard thresholding. Its key advantage is that it assumes no explicit model assumption, admits general predictor effects, allows for scalable computation, and attains desirable asymptotic sparsistency. The proposed algorithm can be adapted to any reproducing kernel Hilbert space (RKHS) with different kernel functions, and can be extended to interaction selection with slight modification. Its computational cost is only linear in the data dimension, and can be further improved through parallel computing. The sparsistency of the proposed algorithm is established for general RKHS under mild conditions, including linear and Gaussian kernels as special cases. Its effectiveness is also supported by a variety of simulated and real examples.
Black Tea Source, Production, and Consumption: Assessment of Health Risks of Fluoride Intake in New Zealand

In countries with fluoridation of public water, it is imperative to determine other dietary sources of fluoride intake to reduce the public health risk of chronic exposure. New Zealand has one of the highest per capita consumption rates of black tea internationally and is one of the few countries to artificially fluoridate public water; yet no information is available to consumers on the fluoride levels in tea products. In this study, we determined the contribution of black tea as a source of dietary fluoride intake by measuring the fluoride content in 18 brands of commercially available products in New Zealand. Fluoride concentrations were measured by potentiometric method with a fluoride ion-selective electrode and the contribution of black tea to Adequate Intake (AI) and Tolerable Upper Intake Level (UL) was calculated for a range of consumption scenarios. We examined factors that influence the fluoride content in manufactured tea and tea infusions, as well as temporal changes in fluoride exposure from black tea. We review the international evidence regarding chronic fluoride intake and its association with chronic pain, arthritic disease, and musculoskeletal disorders and provide insights into possible association between fluoride intake and the high prevalence of these disorders in New Zealand.
Multimodal Bio-Inspired Tactile Sensing Module for Surface Characterization †

Robots are expected to recognize the properties of objects in order to handle them safely and efficiently in a variety of applications, such as health and elder care, manufacturing, or high-risk environments. This paper explores the issue of surface characterization by monitoring the signals acquired by a novel bio-inspired tactile probe in contact with ridged surfaces. The tactile module comprises a nine Degree of Freedom Microelectromechanical Magnetic, Angular Rate, and Gravity system (9-DOF MEMS MARG) and a deep MEMS pressure sensor embedded in a compliant structure that mimics the function and the organization of mechanoreceptors in human skin as well as the hardness of the human skin. When the modules tip slides over a surface, the MARG unit vibrates and the deep pressure sensor captures the overall normal force exerted. The module is evaluated in two experiments. The first experiment compares the frequency content of the data collected in two setups: one when the module is mounted over a linear motion carriage that slides four grating patterns at constant velocities; the second when the module is carried by a robotic finger in contact with the same grating patterns while performing a sliding motion, similar to the exploratory motion employed by humans to detect object roughness. As expected, in the linear setup, the magnitude spectrum of the sensors’ output shows that the module can detect the applied stimuli with frequencies ranging from 3.66 Hz to 11.54 Hz with an overall maximum error of ±0.1 Hz. The second experiment shows how localized features extracted from the data collected by the robotic finger setup over seven synthetic shapes can be used to classify them. The classification method consists on applying multiscale principal components analysis prior to the classification with a multilayer neural network. Achieved accuracies from 85.1% to 98.9% for the various sensor types demonstrate the usefulness of traditional MEMS as tactile sensors embedded into flexible substrates.
Soluble MHC class II‐driven therapy for a systemic lupus erythematosus murine experimental in vitro and in vivo model

Taking into consideration the multiparametric nature of systemic lupus erythematosus (SLE), the severity and variability of symptoms and the lack of effective therapeutic approaches, this study took advantage of the recently described role of soluble major histocompatibility complex class II (sMHCII) molecules in maintaining tolerance to the organism and attempted to apply sMHCII proteins as a treatment to murine SLE experimental models in vitro as well as in vivo. After breaking tolerance to DNA in vitro, which was accompanied by development of specific anti‐dsDNA antibodies, syngeneic or allogeneic sMHCII molecules, purified from healthy mouse serum, could significantly reduce the specific antibody levels and drive the system towards immunosuppression, as assessed by specific marker analysis on T cells and cytokine production by flow cytometry and ELISA, respectively. The in vivo experimental model consisted of pristane‐induced SLE symptoms to BALB/c mice, which developed maximal levels of anti‐dsDNA 2 months after pristane inoculation. Syngeneic or allogeneic sMHCII administration could alleviate pristane‐induced symptoms, significantly decrease specific anti‐dsDNA antibody production and develop immunosuppression to the host, as manifested by increase of CD4 + CTLA‐4 + and CD4 + CD25 + cell populations in the spleen. Thus, the results presented in this study introduced the ability of sMHCII proteins to suppress specific autoantigen response, opening new areas of research and offering novel therapeutic approaches to SLE with expanding features to other autoimmune diseases.
Sexually Transmitted Infections Among HIV-Infected Individuals in the District of Columbia and Estimated HIV Transmission Risk: Data From the DC Cohort

Abstract Background Washington, DC, has one of the highest rates of HIV infection in the United States. Sexual intercourse is the leading mode of HIV transmission, and sexually transmitted infections (STIs) are a risk factor for HIV acquisition and transmission. Methods We evaluated the incidence and demographic factors associated with chlamydia, gonorrhea, and syphilis among HIV-infected persons enrolled at 13 DC Cohort sites from 2011 to 2015. Using Poisson regression, we assessed covariates of risk for incident STIs. We also examined HIV viral loads (VLs) at the time of STI diagnosis as a proxy for HIV transmission risk. Results Six point seven percent (451/6672) developed an incident STI during a median follow-up of 32.5 months (4% chlamydia, 3% gonorrhea, 2% syphilis); 30% of participants had 2 or more STI episodes. The incidence rate of any STIs was 3.8 cases per 100 person-years (95% confidence interval [CI], 3.5–4.1); age 18–34 years, 10.8 (95% CI, 9.7–12.0); transgender women, 9.9 (95% CI, 6.9–14.0); Hispanics, 9.2 (95% CI, 7.2–11.8); and men who have sex with men (MSM), 7.7 (95% CI, 7.1–8.4). Multivariate Poisson regression showed younger age, Hispanic ethnicity, MSM risk, and higher nadir CD4 counts to be strongly associated with STIs. Among those with an STI, 41.8% had a detectable VL within 1 month of STI diagnosis, and 14.6% had a VL ≥1500 copies/mL. Conclusions STIs are highly prevalent among HIV-infected persons receiving care in DC. HIV transmission risk is considerable at the time of STI diagnosis. Interventions toward risk reduction, antiretroviral therapy adherence, and HIV virologic suppression are critical at the time of STI evaluation.
Cognitive, behavioral and psychological functioning in children with metopic synostosis: a meta-analysis examining the impact of surgical status

ABSTRACT Neurodevelopmental delays are known to occur in children with metopic synostosis, but it is presently unclear whether the cognitive, behavioral and psychological outcomes of children with metopic synostosis differ to those of their healthy peers. This meta-analysis consolidated data from 17 studies (published prior to August 2017) that examined the cognitive, behavioral and psychological outcomes of children (n = 666; aged ≤19 yrs) with metopic synostosis. Hedges’g (gw) effect sizes compared the outcomes of samples with metopic synostosis (unoperated, operated) to healthy controls or normative data and, where available, the prevalence of problems/disorders was calculated. Children with unoperated metopic synostosis performed significantly worse than their healthy peers on measures of: general cognition (gw = −.38), motor functioning, (gw = −.81), and verbal (gw = −.82) and visuospatial (gw = −.92) abilities. Children with operated metopic synostosis performed significantly worse on measures of motor functioning (gw = −.45), visuospatial skills (gw = −.32), attention (gw = −.50), executive functioning (gw = −.36), arithmetic ability (gw = −.37), and behavior (gw = −.34). Cognitive, behavioral, and psychological problems were prevalent, but variable. Overall, the cognitive, behavioral, and psychological outcomes of children with metopic synostosis are generally worse than their healthy peers, regardless of surgical status. However, research is sparse, samples small, controls are rarely recruited, and the severity of metopic synostosis often not stated. Nevertheless, the findings suggest that children with metopic synostosis are likely to experience a variety of negative outcomes and should therefore receive ongoing monitoring and support.
Reinforcing Effects of Modified Nanodiamonds on the Physical Properties of Polymer-Based Nanocomposites: A Review

Exceptional mechanical and other physical properties of nanodiamond (ND) have recently attracted much attention. For thermosetting polymers, the reinforcing effects of as-received and amine-functionalized nanodiamonds on the mechanical and tribological properties have been examined and demonstrated the advantages of covalent incorporation of ND into epoxy structure resulting in strong nanofiller-matrix interface. In epoxy matrix composites, the ultimate mechanical reinforcement was achieved using high loadings level of ND powder along with improved thermal conductivity and reduced friction coefficients. In this regard, several complementary mechanical characterization techniques including pin-on-disk, nanoindentation, vickers, tensile, and compression were used to study the reinforcing mechanisms. GRAPHICAL ABSTRACT
Single‐nucleotide polymorphism discovery and panel characterization in the African forest elephant

Abstract The continuing decline in forest elephant (Loxodonta cyclotis) numbers due to poaching and habitat reduction is driving the search for new tools to inform management and conservation. For dense rainforest species, basic ecological data on populations and threats can be challenging and expensive to collect, impeding conservation action in the field. As such, genetic monitoring is being increasingly implemented to complement or replace more burdensome field techniques. Single‐nucleotide polymorphisms (SNPs) are particularly cost‐effective and informative markers that can be used for a range of practical applications, including population census, assessment of human impact on social and genetic structure, and investigation of the illegal wildlife trade. SNP resources for elephants are scarce, but next‐generation sequencing provides the opportunity for rapid, inexpensive generation of SNP markers in nonmodel species. Here, we sourced forest elephant DNA from 23 samples collected from 10 locations within Gabon, Central Africa, and applied double‐digest restriction‐site‐associated DNA (ddRAD) sequencing to discover 31,851 tags containing SNPs that were reduced to a set of 1,365 high‐quality candidate SNP markers. A subset of 115 candidate SNPs was then selected for assay design and validation using 56 additional samples. Genotyping resulted in a high conversion rate (93%) and a low per allele error rate (0.07%). This study provides the first panel of 107 validated SNP markers for forest elephants. This resource presents great potential for new genetic tools to produce reliable data and underpin a step‐change in conservation policies for this elusive species.