Miracle-dz/UniFAR-FTUs huggingface dataset:
Deep CNN for Wideband Mmwave Massive Mimo Channel Estimation Using Frequency Correlation

For millimeter wave (mmWave) systems with large-scale arrays, hybrid processing structure is usually used at both transmitters and receivers to reduce the complexity and cost, which poses a very challenging issue in channel estimation, especially at the low transmit signal-to-noise ratio regime. In this paper, deep convolutional neural network (CNN) is employed to perform wideband channel estimation for mmWave massive multiple-input multiple-output (MIMO) systems. In addition to exploiting spatial correlation, our joint channel estimation approach also exploits the frequency correlation, where the tentatively estimated channel matrices at multiple adjacent subcarriers are input into the CNN simultaneously. The complexity analysis and numerical results show that the proposed CNN based joint channel estimation outperforms the non-ideal minimum mean-squared error (MMSE) estimator with reduced complexity and achieves the performance close to the ideal MMSE estimator. It is also quite robust to different propagation scenarios.
Technical Note - Dynamic Pricing with Gain-Seeking Reference Price Effects

We study a dynamic pricing problem of a firm facing reference price effects at an aggregate demand level, where demand is more sensitive to gains than losses. We find that even the myopic pricing strategy belongs to one type of discontinuous maps, which can exhibit complex dynamics over time. Our numerical examples show that, in general, the optimal pricing strategies may not admit any simple characterizations and the resulting reference price/price dynamics can be very complicated. We then show for a special case that a cyclic skimming pricing strategy is optimal, and we provide conditions to guarantee the optimality of high-low pricing strategies.
Rosamicin: In Vitro Activity Against Anaerobes and Comparison with Erythromycin

The in vitro activity of rosamicin was determined against 231 strains of anaerobic bacteria and compared with the activity of erythromycin against the same strains. Rosamicin and erythromycin had similar activity against strains of Peptostreptococcus and gram-positive nonsporeforming bacilli. Rosamicin was somewhat more active against strains of Peptococcus, Clostridium, and gram-negative anaerobes. All strains of Bacteroides fragilis tested were inhibited by 4 μg of rosamicin or less per ml, whereas only 76% of them were inhibited by this concentration of erythromycin. Rosamicin was distinctly more active against Fusobacterium nucleatum. Because of its in vitro activity, further investigation of the pharmacology of this drug is warranted.
A Comparison of Three Methods of Hemoglobin Monitoring in Patients Undergoing Spine Surgery

BACKGROUND:Hemoglobin values (Hb) can facilitate decisions regarding perioperative transfusion management. Currently, Hb can be determined invasively by analyzing blood via laboratory Co–Oximetry (tHb) or by point-of-care HemoCue (HCue). Recently, a new noninvasive, continuous spectrophotometric sensor (Masimo SpHb) was introduced into clinical practice. We compared the accuracy of the SpHb and HCue with tHb. METHODS:Twenty patients, ages 40 to 80 years, were studied. They received general anesthesia and underwent spine surgery in the prone position. All blood samples were obtained from a radial artery catheter. SpHb, tHb, and HCue were determined immediately after induction of anesthesia, but before the start of surgery and approximately every hour thereafter. Primary outcomes were defined on the basis of the following differences between measures: SpHb − tHb or HCue − tHb. All patients had 3 to 5 observations taken on each measure. Differences and absolute differences were analyzed by several techniques to assess accuracy. We also investigated the relationship between observed differences and the following variables: tHb level, duration of surgery, age, weight, and perfusion index. RESULTS:Data consisted of 78 measurements of SpHb, tHb, and HCue made on the 20 patients. Absolute differences between SpHb and tHb were <1.5 g/dL for 61% of observations, between 1.6 to 2.0 g/dL for 16% and >2.0 g/dL for 22% of the observations. Observed differences displayed significant decreases with time and higher perfusion index values. No systematic relationships were observed with age or weight. Except for 1 value, all of the HCue values were <1.0 g/dL of tHb. CONCLUSIONS:Although HCue was consistently accurate, our data confirm that SpHb often correlated well with tHb values. Yet our study indicates that SpHb may not be as accurate as clinically necessary in some patients. Improved refinement of continuous, noninvasive technology, such as SpHb, could address important clinical requirements.
Behavioral Parent Training in Infancy: What About the Parent–Infant Relationship?

Behavioral parent training (BPT) and attachment interventions have demonstrated efficacy in improving outcomes for young children. Despite theoretical overlap in these approaches, the literature has evolved separately, particularly with respect to outcome measurement in BPT. We examined the impact of the Infant Behavior Program (IBP), a brief home-based adaptation of Parent–Child Interaction Therapy, on changes in attachment-based caregiving behaviors (sensitivity, warmth, and intrusiveness) at postintervention and 3- and 6-month follow-ups during a videotaped infant-led play. Sixty mother–infant dyads were randomly assigned to receive the IBP (n = 28) or standard care (n = 30). Infants were an average age of 13.52 months and predominately from ethnic or racial minority backgrounds (98%). We used bivariate correlations to examine the association between attachment-based caregiving behaviors and behaviorally based parenting do and don’t skills and structural equation modeling to examine the direct effect of the IBP on attachment-based caregiving behaviors and the indirect effect of behaviorally based parenting skills on the relation between intervention group and attachment-based caregiving behaviors. Behaviorally based parenting do and don’t skills were moderately correlated with attachment-based caregiving behaviors. Results demonstrated a direct effect of the IBP on warmth and sensitivity at postintervention and 3- and 6-month follow-ups. The direct effect of the IBP on warmth and sensitivity at the 3- and 6-month follow-ups was mediated by increases in parenting do skills at postintervention. Findings suggest that behaviorally based parenting skills targeted in BPT programs have a broader impact on important attachment-based caregiving behaviors during the critical developmental transition from infancy to toddlerhood.
Rips construction and Kazhdan property (T)

We show that for any non-elementary hyperbolic group H and any finitely presented group Q, there exists a short exact sequence 1 ! N ! G ! Q ! 1, where G is a hyperbolic group and N is a quotient group of H. As an application we construct a hyperbolic group that has the same n-dimensional complex representations as a given finitely generated group, show that adding relations of the form x n D 1 to a presentation of a hyperbolic group may drastically change the group even in case n � 1, and prove that some properties (e.g. properties (T) and FA) are not recursively recognizable in the class of hyperbolic groups. A relatively hyperbolic version of this theorem is also used to generalize results of Ollivier-Wise on outer automorphism groups of Kazhdan groups. Mathematics Subject Classification (2000). 20F67, 20F65, 20F28.
“Lots of Questions about ‘Fake News’”: How Public Libraries Have Addressed Media Literacy, 2016–2018

ABSTRACT This exploratory research investigates how American public libraries have addressed the issue of media literacy in their communities from 2016 to 2018, including programs, partnerships, and other initiatives. The authors selected this period because events, such as the 2016 U.S. presidential election, contributed to an increased national concern about media literacy. This study fills a research gap by providing a broader assessment of public library responses to this issue, as most of the published literature thus far stems from academic libraries. An electronic survey solicited data from both a stratified purposive sample and a self-selecting sample of public libraries throughout the United States (U.S.). Analysis of qualitative and quantitative data from sixty-five public libraries revealed several key themes related to media literacy initiatives, including types of initiatives developed, initiatives deemed most successful by staff, community response to initiatives, and reasons for not pursuing initiatives. Findings denote the current state of how public libraries address media literacy and offer practical guidance for those developing media literacy initiatives. Key findings are as follows: lack of staff time is the reason most often cited for not engaging in media literacy initiatives; more effective measurements are needed to assess both community needs and outcomes of library initiatives; “fake news” is a topic of interest in the community and among library staff; and there appears to be a relationship between staff interest in the topic and perceived interest on the part of the public, which may impact efforts to address the issue. Implications for practice resulting from those findings include engaging in initiatives that maximize service while minimizing staff time involvement; measuring and assessing community interests as well as outcomes of initiatives; using trending topics such as “fake news” to increase interest in library services; and continuing to increase staff awareness of and training in issues deemed important by the library community.
Cytomegalovirus Seroprevalence in Pregnant Women and Association with Adverse Pregnancy/Neonatal Outcomes in Jiangsu Province, China

Background In this study, we aimed to determine the provincial population-based seroprevalence in pregnant women and to further explore the association of maternal CMV infection status and adverse pregnancy/neonatal/growth outcomes in Jiangsu, China. Methods In this case-control study, the sera from 527 pregnant women with adverse pregnancy/neonatal outcomes and 496 mothers of healthy infants in Jiangsu Province, collected at gestation age of 15–20 weeks, were tested for anti-CMV IgG, IgM and IgG avidity. Adverse pregnancy/neonatal outcomes were identified based on pregnancy/neonatal outcomes. Results The overall seroprevalence of anti-CMV IgG was 98.7%, with 99.4% and 98.0% in the case and control groups, respectively (P = 0.039). The prevalence of anti-CMV IgG+/IgM+, was higher in the case group than that in the control group (3.8% vs. 1.6%, P = 0.033). Anti-CMV IgG avidity assay showed that none in the control group were primarily infected, but five (0.9%) in the case group underwent primary infection (P = 0.084); all five infants of these women presented severe adverse neonatal/growth outcomes. Exact logistic regression analysis showed that anti-CMV IgG+/IgM+ was associated with adverse pregnancy/neonatal/growth outcomes (aOR = 2.44, 95% CI 1.01–6.48, P = 0.047). Maternal low education level and prior abnormal pregnancies also were risk factors for adverse pregnancy/neonatal outcomes. Conclusions In populations with very high prevalence of latent CMV infection, active maternal CMV infection during pregnancy might be a risk factor for adverse pregnancy/neonatal outcomes.
The origins of entrants and the geography of the German laser industry

Entry into an industry often clusters in regions where the industry is already concentrated, which is suggestive of agglomeration economies. Regional public research activities may exert another attracting force on entrants into science-based industries. Empirically these proximity effects are confounded by other influences on where entrants originate and locate. This paper begins to disentangle the effects of agglomeration, public research, and the supply of capable entrants for the German laser industry. Our findings indicate that the industry’s geography was shaped by the local availability of potential entrants rather than localization economies. The impact of public research increased over time.
An exploratory study of health practices of American Catholic nuns.

American Catholic nuns represent a distinct segment of American women, yet little is known about their health practices. Assessment of health-related activities of these women was conducted by means of a self-report survey which was completed by 345 nuns in the midwestern United States. Although 53% had a complete physical examination in the last year, 11% had not had one for more than seven years, and 44% had not had a recent breast or pelvic examination. Thirty-seven percent did monthly breast self-examination (BSE), 37% examined themselves rarely, and 26% never performed BSE. Nuns performing BSE were more likely to have been examined by a health care provider in the past year (p less than .05). Nuns reporting a more positive health status said they got an adequate amount of sleep and participated in regular exercise, yet reported themselves to be overweight (p less than .05). Stress was reported by 74%, and an inverse relationship between perceived relaxation time and perceived stress level was noted (p less than .05). Overall, data reflected certain health educational and behavioral deficits. Because nuns comprise a chronologically older cohort than their secular counterparts, efforts that enable adoption of wellness practices and facilitate improved health care among these women seem to be warranted.
Studying Biodiversity: Is a New Paradigm Really Needed?

Authors in this journal have recommended a new approach to the conduct of biodiversity science. This data-driven approach requires the organization of large amounts of ecological data, analysis of these data to discover complex patterns, and subsequent development of hypotheses corresponding to detected patterns. This proposed new approach has been contrasted with more-traditional knowledge-based approaches in which investigators deduce consequences of competing hypotheses to be confronted with actual data, providing a basis for discriminating among the hypotheses. We note that one approach is directed at hypothesis generation, whereas the other is also focused on discriminating among competing hypotheses. Here, we argue for the importance of using existing knowledge to the separate issues of (a) hypothesis selection and generation and (b) hypothesis discrimination and testing. In times of limited conservation funding, the relative efficiency of different approaches to learning should be an important consideration in decisions about how to study biodiversity.
Deterministic Gossiping

For the purposes of this paper, “gossiping” is a distributed process whose purpose is to enable the members of a group of autonomous agents to asymptotically determine, in a decentralized manner, the average of the initial values of their scalar gossip variables. This paper discusses several different deterministic protocols for gossiping which avoid deadlocks and achieve consensus under different assumptions. First considered is T-periodic gossiping which is a gossiping protocol which stipulates that each agent must gossip with the same neighbor exactly once every T time units. Among the results discussed is the fact that if the underlying graph characterizing neighbor relations is a tree, convergence is exponential at a worst case rate which is the same for all possible T -periodic gossip sequences associated with the graph. Many gossiping protocols are request based which means simply that a gossip between two agents will occur whenever one of the two agents accepts a request to gossip placed by the other. Three deterministic request-based protocols are discussed. Each is guaranteed to not deadlock and to always generate sequences of gossip vectors which converge exponentially fast. It is shown that worst case convergence rates can be characterized in terms of the second largest singular values of suitably defined doubly stochastic matrices.
The Hypothalamic Neuropeptide Melanin-Concentrating Hormone Acts in the Nucleus Accumbens to Modulate Feeding Behavior and Forced-Swim Performance

Melanin-concentrating hormone (MCH) is a hypothalamic neuropeptide with a prominent role in feeding and energy homeostasis. The rodent MCH receptor (MCH1R) is highly expressed in the nucleus accumbens shell (AcSh), a region that is important in the regulation of appetitive behavior. Here we establish a role for MCH and MCH1R in mediating a hypothalamic-limbic circuit that regulates feeding and related behaviors. Direct delivery of an MCH1R receptor antagonist to the AcSh blocked feeding and produced an antidepressant-like effect in the forced swim test, whereas intra-AcSh injection of MCH had the opposite effect. Expression studies demonstrated that MCH1R is present in both the enkephalin- and dynorphin-positive medium spiny neurons of the AcSh. Biochemical analysis in AcSh explants showed that MCH signaling blocks dopamine-induced phosphorylation of the AMPA glutamate receptor subunit GluR1 at Ser845. Finally, food deprivation, but not other stressors, stimulated cAMP response element-binding protein-dependent pathways selectively in MCH neurons of the hypothalamus, suggesting that these neurons are responsive to a specific set of physiologically relevant conditions. This work identifies a novel hypothalamic-AcSh circuit that influences appetitive behavior and mediates the antidepressant activity of MCH1R antagonists.
Development of freeze-dried biosynthetic Factor VIII: I. A case study in the optimization of formulation

The purpose of this paper was to identify an optimal formulation, free of any human or animal derived protein, which stabilizes biosynthetic Factor VIII (rAHF) during freeze drying and storage. Factor VIII activity in samples stored at temperatures between 25°C and 60°C was determined using the one-stage activated partial thromboplastin time assay. Various formulations containing different combinations of a stabilizer and a bulking agent were screened for acceptable freeze-drying behavior, elegance of the resulting product, and stability during processing and storage. Degradation of freeze-dried rAHF followed the ‘square root of time’ kinetics. Stability of rAHF was found to increase with increasing protein concentration, indicating a self-protection effect. The addition of the antioxidant, glutathione was also shown to enhance storage stability. Given the constraint of high residual levels of NaCl from purification, the lead formulation employed mannitol as a bulking agent and trehalose as the general stabilizer. This formulation allowed an elegant product to be produced which more than met the stability requirements. However, it was also shown that elimination of residual NaCl allowed a much shorter freeze-drying cycle to produce an elegant product with greatly enhanced stability.
Add-On Effect of Probucol in Atherosclerotic, Cholesterol-Fed Rabbits Treated with Atorvastatin

Objective Lowering the blood concentration of low-density lipoprotein (LDL) cholesterol is the primary strategy employed in treating atherosclerotic disorders; however, most commonly prescribed statins prevent cardiovascular events in just 30% to 40% of treated patients. Therefore, additional treatment is required for patients in whom statins have been ineffective. In this study of atherosclerosis in rabbits, we examined the effect of probucol, a lipid-lowering drug with potent antioxidative effects, added to treatment with atorvastatin. Methods and Results Atherosclerosis was induced by feeding rabbits chow containing 0.5% cholesterol for 8 weeks. Probucol 0.1%, atorvastatin 0.001%, and atorvastatin 0.003% were administered solely or in combination for 6 weeks, beginning 2 weeks after the start of atherosclerosis induction. Atorvastatin decreased the plasma concentration of non-high-density lipoprotein cholesterol (non-HDLC) dose-dependently; atorvastatin 0.003% decreased the plasma concentration of non-HDLC by 25% and the area of atherosclerotic lesions by 21%. Probucol decreased the plasma concentration of non-HDLC to the same extent as atorvastatin (i.e., by 22%) and the area of atherosclerotic lesions by 41%. Probucol with 0.003% atorvastatin decreased the plasma concentration of non-HDLC by 38% and the area of atherosclerotic lesions by 61%. Co-administration of probucol with atorvastatin did not affect the antioxidative effects of probucol, which were not evident on treatment with atorvastatin alone, such as prevention of in vitro LDL-oxidation, increase in paraoxonase-1 activity of HDL, and decreases in plasma and plaque levels of oxidized-LDL in vivo. Conclusions Probucol has significant add-on anti-atherosclerotic effects when combined with atorvastatin treatment; suggesting that this combination might be beneficial for treatment of atherosclerosis.
The Rijksmuseum Challenge: Museum-Centered Visual Recognition

This paper offers a challenge for visual classification and content-based retrieval of artistic content. The challenge is posed from a museum-centric point of view offering a wide range of object types including paintings, photographs, ceramics, furniture, etc. The freely available dataset consists of 112,039 photographic reproductions of the artworks exhibited in the Rijksmuseum in Amsterdam, the Netherlands. We offer four automatic visual recognition challenges consisting of predicting the artist, type, material and creation year. We include a set of baseline results, and make available state-of-the-art image features encoded with the Fisher vector. Progress on this challenge improves the tools of a museum curator while improving content-based exploration by online visitors of the museum collection.
Recurrent Memory Networks for Language Modeling

Recurrent Neural Networks (RNN) have obtained excellent result in many natural language processing (NLP) tasks. However, understanding and interpreting the source of this success remains a challenge. In this paper, we propose Recurrent Memory Network (RMN), a novel RNN architecture, that not only amplifies the power of RNN but also facilitates our understanding of its internal functioning and allows us to discover underlying patterns in data. We demonstrate the power of RMN on language modeling and sentence completion tasks. On language modeling, RMN outperforms Long Short-Term Memory (LSTM) network on three large German, Italian, and English dataset. Additionally we perform in-depth analysis of various linguistic dimensions that RMN captures. On Sentence Completion Challenge, for which it is essential to capture sentence coherence, our RMN obtains 69.2% accuracy, surpassing the previous state-of-the-art by a large margin.
Observation of Feshbach Resonances in the F + H2 → HF + H Reaction

Reaction resonances, or transiently stabilized transition-state structures, have proven highly challenging to capture experimentally. Here, we used the highly sensitive H atom Rydberg tagging time-of-flight method to conduct a crossed molecular beam scattering study of the F + H2 → HF + H reaction with full quantum-state resolution. Pronounced forward-scattered HF products in the v′ = 2 vibrational state were clearly observed at a collision energy of 0.52 kcal/mol; this was attributed to both the ground and the first excited Feshbach resonances trapped in the peculiar HF(v′ = 3)-H′ vibrationally adiabatic potential, with substantial enhancement by constructive interference between the two resonances.