cssi/SciSciGPT-SciSciNet huggingface dataset:
Noncoherent analog network coding using LDPC-coded FSK

Analog network coding (ANC) is a throughput increasing technique for the two-way relay channel (TWRC) whereby two end nodes transmit simultaneously to a relay at the same time and band, followed by the relay broadcasting the received sum of signals to the end nodes. Coherent reception under ANC is challenging due to requiring oscillator synchronization for all nodes, a problem further exacerbated by Doppler shift. This work develops a noncoherent M-ary frequency-shift keyed (FSK) demodulator implementing ANC. The demodulator produces soft outputs suitable for use with capacity-approaching channel codes and supports information feedback from the channel decoder. A unique aspect of the formulation is the presence of an infinite summation in the received symbol probability density function. Detection and channel decoding succeed when the truncated summation contains a sufficient number of terms. Bit error rate performance is investigated by Monte Carlo simulation, considering modulation orders two, four and eight, channel coded and uncoded operation, and with and without information feedback from decoder to demodulator. The channel code considered for simulation is the LDPC code defined by the DVB-S2 standard. To our knowledge this work is the first to develop a noncoherent soft-output demodulator for ANC.
Dental problems and Familismo: social network discussion of oral health issues among adults of Mexican origin living in the Midwest United States.

Objective To examine the influence of collectivist orientation (often called familismo when applied to the Latino sub-group in the United States) in oral health discussion networks. Basic Research Design Through respondent-driven sampling and face-to-face interviews, we identified respondents' (egos) personal social network members (alters). Egos stated whom they talked with about oral health, and how often they discussed dental problems in the preceding 12 months. Participants An urban community of adult Mexican-American immigrants in the Midwest United States. We interviewed 332 egos (90% born in Mexico); egos named an average of 3.9 alters in their networks, 1,299 in total. Method We applied egocentric network methods to examine the ego, alter, and network variables that characterize health discussion networks. Results Kin were most often leveraged when dental problems arose; egos relied on individuals whom they perceive to have better knowledge about dental matters. However, reliance on knowledgeable alters decreased among egos with greater behavioral acculturation. Conclusions This paper developed a network-based conceptualization of familismo. We describe the structure of oral health networks, including kin, fictive kin, peers, and health professionals, and examine how networks and acculturation help shape oral health among these Mexican-Americans.
Giant cell granuloma: Report of a rare location in the hard palate and review of the literature

AbstractGiant cell granulomas (GCG) are rare tumors affecting the head and neck region and other sites of the body. Their occurrence in the hard palate is highly uncommon. We present the case of a 15-year-old female patient who presented with a hard palate mass that was confirmed to be a GCG following surgical excision. A review of all cases of GCG in the hard palate reported in the literature till date is presented with an update on differential diagnosis and treatment modalities.
Separable Commutative Rings in the Stable Module Category of Cyclic Groups

We prove that the only separable commutative ring-objects in the stable module category of a finite cyclic p-group G are the ones corresponding to subgroups of G. We also describe the tensor-closure of the Kelly radical of the module category and of the stable module category of any finite group.
A literature review on individual creativity support systems

Abstract Individual creativity support systems have been developed to facilitate creative work. This article reviews the various design requirements and approaches proposed for supporting individual creative work, as well as relevant creativity theories. Current creativity support systems use many approaches in supporting the collection of relevant information and the creation of ideas or artifacts. However, the designs are typically based on just a few creativity theories. Based on various creativity theories, we propose a new integrated framework for individual creativity support systems. This framework enumerates aspects, components, and features of creativity support systems.
Leveraging the Potential of the Services Sector to Support Accelerated Growth in Senegal

Services play a major role in the Senegalese economy, accounting for 66 percent of economic activity and contributing nearly three-quarters of gross domestic product growth between 2006 and 2013. During the period, the private sector contributed 71 percent of services and accounted for 84 percent of its contribution to growth. The dynamism of private services is driven primarily by telecommunications and financial services: while the two sub-sectors made up 21 percent of private services, they accounted for nearly half (48 percent) of the contributions of private services to growth during the period. These trends are projected to improve in the future. Available data on employment and credit confirm the critical importance of services. In 2013, over 50 percent of credit to the economy was devoted to services, and 55 percent of the labor force was employed in the services sector, including 36 percent of the rural workforce and as much as 80 percent of the urban workforce.
Finite Temperature Induced Fermion Number

The induced fermion number at zero temperature is topological (in the sense that it is only sensitive to global asymptotic properties of the background field), and is a sharp observable (in the sense that it has vanishing rms fluctuations). At finite temperature, it is shown to be generically nontopological, and it is not a sharp observable.
WOUND HEALING PROBLEMS: A KNEE IS NOT A HIP

Drainage from the knee wound after TKA is an obvious concern for the arthroplasty surgeon. One of the inherent problems with a total knee arthroplasty is there is a focus on obtaining maximum range of motion but at the same time the wound needs to heal in a timely fashion. Consistent knee drainage after a TKA is a source of concern. The quantity and quality of drainage needs to be assessed and there are certain questions that need to be answered including: 1) Is there bloody drainage which suggests fascial dehiscence?; 2) Is the patient too active?; 3) Is the drainage in some way related to DVT prophylaxis?; 4) Is the patient obese and could the drainage be secondary to fat necrosis or seroma? and 5) Is the drainage suggestive of an infection? The work-up can include C-reactive protein and sed rate, and possibly a knee aspiration. In general, C-reactive protein >100mg/L within the first six weeks after surgery suggests the presence of an infection. The sed rate is generally not useful in the early post-operative period. In the first six weeks after surgery if the number of white cells in the aspiration is >10,000 this suggests infection especially if there are 80–90% polymorphonuclear cells. Each day of prolonged wound drainage is noted to increase the risk of infection by 29%. Morbid obesity has been shown to be an independent risk factor for infection. Some anticoagulants (i.e. low molecular weight heparin) have been associated with increased wound drainage. In a retrospective review of 11,785 total joint arthroplasties, 2.9% of joints developed wound drainage, and of these patients, 28% required further surgery. It was noted that patients that were malnourished had a 35% failure rate with respect to controlling the drainage and preventing infection versus 5% in patients that were healthy. The International Consensus Conference on Infection concluded that a wound that has been persistently draining for greater than 5–7 days requires surgical intervention. The available literature provides little guidance regarding the specifics of this procedure. In general, if the wound is draining or is red, rest the leg for a day or two. In some instances a bulky Jones dressing can be helpful. If the drainage persists one could consider using a negative pressure dressing (wound vac) but there is little data on efficacy after TKA. If there is persistent drainage or cellulitis, then operative intervention is probably necessary. Evaluation of CRP and a knee joint aspiration can be helpful. The decision to return to the OR should be made within the first 7 days after the surgery. At the time of the procedure one will need to decide to perform either a superficial washout versus a washout and polyethylene exchange.
Cavity attenuated phase shift Faraday rotation spectroscopy

A cavity attenuated phase shift Faraday rotation spectrometer has been developed for oxygen detection near 762 nm. The system incorporates a high-finesse cavity for sensitivity enhancement and achieves minimum detectible polarization rotation of 2×109 rad/√Hz.
An administrative right to be free from sexual violence? Title IX enforcement in historical and institutional perspective.

Author(s): Tani, Karen M | Abstract: One of the most controversial administrative actions in recent years is the U.S. Department of Education's campaign against sexual assault on college campuses. Using its authority under Title IX of the Education Amendments of 1972 (mandating nondiscrimination on the basis of sex in all educational programs and activities receiving federal funds), the Department's Office for Civil Rights (OCR) has launched an enforcement effort that critics denounce as aggressive, manipulative, and corrosive of individual liberties. Missing from the commentary is a historically informed understanding of why this administrative campaign unfolded as it did. This Article offers crucial context by reminding readers that freedom from sexual violence was once celebrated as a national civil right--upon the enactment of the Violence Against Women Act of 1994--but then lost that status in a 5-4 decision by the U.S. Supreme Court. OCR's recent campaign reflects a legal and political landscape in which at least some potential victims of sexual violence had come to feel rightfully connected to the institutions of the federal government, and then became righteously outraged by the endurance of such violence in their communities. OCR's campaign also reflects the unique role of federal administrative agencies in this landscape. Thanks to the power of the purse and the conditions that Congress has attached to funding streams, agencies enjoy a powerful form of jurisdiction over particular spaces and institutions. Attempts to harness this jurisdiction in service of aspirational rights claims should not surprise us; indeed, we should expect such efforts to continue. Building on this insight, the Article concludes with a research agenda for other scholars seeking to understand and evaluate OCR’s handiwork.
Adaptive Information Gathering via Imitation Learning

In the adaptive information gathering problem, a policy is required to select an informative sensing location using the history of measurements acquired thus far. While there is an extensive amount of prior work investigating effective practical approximations using variants of Shannon’s entropy, the efficacy of such policies heavily depends on the geometric distribution of objects in the world. On the other hand, the principled approach of employing online POMDP solvers is rendered impractical by the need to explicitly sample online from a posterior distribution of world maps. We present a novel data-driven imitation learning framework to efficiently train information gathering policies. The policy imitates a clairvoyant oracle – an oracle that at train time has full knowledge about the world map and can compute maximally informative sensing locations. We analyze the learnt policy by showing that offline imitation of a clairvoyant oracle is implicitly equivalent to online oracle execution in conjunction with posterior sampling. This observation allows us to obtain powerful near-optimality guarantees for information gathering problems possessing an adaptive sub-modularity property. As demonstrated on a spectrum of 2D and 3D exploration problems, the trained policies enjoy the best of both worlds – they adapt to different world map distributions while being computationally inexpensive to evaluate.
Relationship of Penile Brachial Pressure Index to Myocardial Infarction and Cerebrovascular Accidents in Older Men

Vascular disease is a major cause of impotence in patients over the age of 40. In a prospective study of 130 impotent patients followed for 24 to 36 months, patients with a penile brachial pressure index (PBPI) of 0.65 or less had a significantly greater risk of a myocardial infarction or a cerebrovascular accident than patients with higher PBPIs. It is concluded that impotence in association with a low PBPI should be considered an indicator of a future major vascular event.
Human Renal Carcinoma: Characterization of Five New Cell Lines

Abstract Five human renal carcinoma cell lines have been established in long-term tissue culture. Two of the cell lines, UM-RC-2 and UM-RC-3, produced clear cell tumors in athymic nude mice. The cell lines have been characterized by staining with oil red O, doubling time in vitro, and number of chromosomes. Although protein A assay reactivity of autologous combinations of patient's sera and tumor cells were seen with all five cell lines, similar binding was also found with autologous normal kidney cultures. However, the immune adherence assay demonstrated low titer autologous reactivity with two renal carcinoma cell lines but not with the corresponding normal kidney cultures. This strongly suggest host recognition of tumor-associated antigens. Characterization of cell surface antigens with murine monoclonal antibodies demonstrated shared reactivity between normal kidney tubular cells and renal carcinoma cells. Antibody A68.11 reacted strongly with all five cell lines. Antibody A80 bound to only UM-RC-3 and UM-RC-6.
Spindle-Cell Proliferations of the Urinary Tract: An Immunohistochemical Study

In order to define the immunohistochemical features of spindle cell proliferations of the urinary tract, we studied 18 lesions of this type with a panel of antibodies to epithelial and mesenchymal determinants. Histologically, 13 cases showed features that were not conclusively those of either spindle cell carcinoma or sarcoma, three contained overtly epithelial areas, and two were classified as "postoperative spindle cell nodules" (PSCN). Nine tumors in the indeterminate group and three with focally overt carcinomatous growth stained for cytokeratin and epithelial membrane antigen (EMA) and were classified as carcinomas. Eleven of these coexpressed vimentin, but desmin and muscle-specific actin were undetectable. The four remaining indeterminate neoplasms expressed desmin and muscle-specific actin as well as vimentin, but they lacked epithelial markers; these were categorized as leiomyosarcomas. Both PSCN were reactive for cytokeratin with each of three separate monoclonal antibody preparations. Desmin, actin, and vimentin were also observed in such lesions, but EMA was not. Because spindle cell proliferations may be difficult to interpret in routinely stained tissue sections, the additional information provided by immunohistochemical studies is helpful in establishing a diagnosis and separating biologically disparate lesions.
Dirac cone in two dimensional bilayer graphene by intercalation with V, Nb, and Ta transition metals

Bilayer graphene (BLG) is a semiconductor whose band gap and properties can be tuned by various methods such as doping or applying gate voltage. Here, we show how to tune electronic properties of BLG by intercalation of transition metal (TM) atoms between two monolayer graphene (MLG) using a novel dispersion-corrected first-principle density functional theory (DFT) approach. We intercalated V, Nb, and Ta atoms between two MLG. We found that the symmetry, the spin, and the concentration of TM atoms in BLG-intercalated materials are the important parameters to control and to obtain a Dirac cone in their band structures. Our study reveals that the BLG intercalated with one vanadium (V) atom, BLG-1V, has a Dirac cone at the K-point. In all the cases, the present DFT calculations show that the 2pz sub-shells of C atoms in graphene and the 3dyz sub-shells of the TM atoms provide the electron density near the Fermi energy level (EF) which controls the material properties. Thus, we show that out-of-plane atoms can influence in-plane electronic densities in BLG and enumerate the conditions necessary to control the Dirac point. This study offers insight into the physical properties of 2D BLG intercalated materials and presents a new strategy for controlling the electronic properties of BLG through TM intercalation by varying the concentration and spin arrangement of the metals resulting in various conducting properties, which include: metal, semi-metal and semiconducting states.
Rank constrained diffeomorphic density motion estimation for respiratory correlated computed tomography

Motion estimation of organs in a sequence of images is important in numerous medical imaging applications. The focus of this paper is the analysis of 4D Respiratory Correlated Computed Tomography (RCCT) Imaging. It is hypothesized that the quasi-periodic breathing induced motion of organs in the thorax can be represented by deformations spanning a very low dimension subspace of the full infinite dimensional space of diffeomorphic transformations. This paper presents a novel motion estimation algorithm that includes the constraint for low-rank motion between the different phases of the RCCT images. Low-rank deformation solutions are necessary for the efficient statistical analysis and improved treatment planning and delivery. Although the application focus of this paper is RCCT the algorithm is quite general and applicable to various motion estimation problems in medical imaging.
In Vivo Structures of the Helicobacter pylori cag Type IV Secretion System

The type IV secretion system (T4SS) is a versatile nanomachine that translocates diverse effector molecules between microbes and into eukaryotic cells. Here, using electron cryotomography, we reveal the molecular architecture of the Helicobacter pylori cag T4SS. Although most components are unique to H. pylori, the cag T4SS exhibits remarkable architectural similarity to other T4SSs. Our images revealed that, when H. pylori encounters host cells, the bacterium elaborates membranous tubes perforated by lateral ports. Sub-tomogram averaging of the cag T4SS machinery revealed periplasmic densities associated with the outer membrane, a central stalk, and peripheral wing-like densities. Additionally, we resolved pilus-like rod structures extending from the cag T4SS into the inner membrane, as well as densities within the cytoplasmic apparatus corresponding to a short central barrel surrounded by four longer barrels. Collectively, these studies reveal the structure of a dynamic molecular machine that evolved to function in the human gastric niche.
Minimal Dependency Translation: A Framework for Computer-Assisted Translation for Under-Resourced Languages

This paper introduces Minimal Dependency Translation (MDT), an ongoing project to develop a rule-based framework for the creation of rudimentary bilingual lexicon-grammars for machine translation and computer-assisted translation into and out of under-resourced languages as well as initial steps towards an implementation of MDT for English-to-Amharic translation. The basic units in MDT, called groups, are headed multi-item sequences. In addition to wordforms, groups may contain lexemes, syntactic-semantic categories, and grammatical features. Each group is associated with one or more translations, each of which is a group in a target language. During translation, constraint satisfaction is used to select a set of source-language groups for the input sentence and to sequence the words in the associated target-language groups.
Spectrum of Non-planar Traveling Waves

In this paper we prove that a class of non self-adjoint second order differential operators acting in cylinders $$\Omega \times {\mathbb R}\subseteq {\mathbb R}^{d+1}$$ have only real discrete spectrum located to the right of the right most point of the essential spectrum. We describe the essential spectrum using the limiting properties of the potential. To track the discrete spectrum we use spatial dynamics and bi-semigroups of linear operators to estimate the decay rate of eigenfunctions associated to isolated eigenvalues.
Polycystin-2 is an essential ion channel subunit in the primary cilium of the renal collecting duct epithelium

Mutations in the polycystin genes, PKD1 or PKD2, results in Autosomal Dominant Polycystic Kidney Disease (ADPKD). Although a genetic basis of ADPKD is established, we lack a clear understanding of polycystin proteins' functions as ion channels. This question remains unsolved largely because polycystins localize to the primary cilium - a tiny, antenna-like organelle. Using a new ADPKD mouse model, we observe primary cilia that are abnormally long in cells associated with cysts after conditional ablation of Pkd1 or Pkd2. Using primary cultures of collecting duct cells, we show that polycystin-2, but not polycystin-1, is a required subunit for the ion channel in the primary cilium. The polycystin-2 channel preferentially conducts K+ and Na+; intraciliary Ca2+, enhances its open probability. We introduce a novel method for measuring heterologous polycystin-2 channels in cilia, which will have utility in characterizing PKD2 variants that cause ADPKD.
An Economic Analysis of Product Recommendation in the Presence of Quality and Taste-Match Heterogeneity

Platform-provided recommendation is ubiquitous in online markets. This paper analyzes the equilibrium implications of platform recommendation as an intervention that shifts (a portion of) consumer ...
Looking for the WIMP Next Door

We comprehensively study experimental constraints and prospects for a class of minimal hidden sector dark matter (DM) models, highlighting how the cosmological history of these models informs the experimental signals. We study simple ‘secluded’ models, where the DM freezes out into unstable dark mediator states, and consider the minimal cosmic history of this dark sector, where coupling of the dark mediator to the SM was sufficient to keep the two sectors in thermal equilibrium at early times. In the well-motivated case where the dark mediators couple to the Standard Model (SM) via renormalizable interactions, the requirement of thermal equilibrium provides a minimal, UV-insensitive, and predictive cosmology for hidden sector dark matter. We call DM that freezes out of a dark radiation bath in thermal equilibrium with the SM a WIMP next door, and demonstrate that the parameter space for such WIMPs next door is sharply defined, bounded, and in large part potentially accessible. This parameter space, and the corresponding signals, depend on the leading interaction between the SM and the dark mediator; we establish it for both Higgs and vector portal interactions. In particular, there is a cosmological lower bound on the portal coupling strength necessary to thermalize the two sectors in the early universe. We determine this thermalization floor as a function of equilibration temperature for the first time. We demonstrate that direct detection experiments are currently probing this cosmological lower bound in some regions of parameter space, while indirect detection signals and terrestrial searches for the mediator cut further into the viable parameter space. We present regions of interest for both direct detection and dark mediator searches, including motivated parameter space for the direct detection of sub-GeV DM.
Improved Contrast-Enhanced Ultrasound Imaging With Multiplane-Wave Imaging

Contrast-enhanced ultrasound (CEUS) imaging has great potential for use in new ultrasound clinical applications such as myocardial perfusion imaging and abdominal lesion characterization. In CEUS imaging, contrast agents (i.e., microbubbles) are used to improve contrast between blood and tissue because of their high nonlinearity under low ultrasound pressure. However, the quality of CEUS imaging sometimes suffers from a low signal-to-noise ratio (SNR) in deeper imaging regions when a low mechanical index (MI) is used to avoid microbubble disruption, especially for imaging at off-resonance transmit frequencies. In this paper, we propose a new strategy of combining CEUS sequences with the recently proposed multiplane-wave (MW) compounding method to improve the SNR of CEUS in deeper imaging regions without increasing MI or sacrificing frame rate. The MW-CEUS method emits multiple Hadamard-coded CEUS pulses in each transmission event (i.e., pulse-echo event). The received echo signals first undergo fundamental bandpass filtering (i.e., the filter is centered on the transmit frequency) to eliminate the microbubble’s second-harmonic signals because they cannot be encoded by pulse inversion. The filtered signals are then Hadamard decoded and realigned in fast time to recover the signals as they would have been obtained using classic CEUS pulses, followed by designed recombination to cancel the linear tissue responses. The MW-CEUS method significantly improved contrast-to-tissue ratio and SNR of CEUS imaging by transmitting longer coded pulses. The image resolution was also preserved. The microbubble disruption ratio and motion artifacts in MW-CEUS were similar to those of classic CEUS imaging. In addition, the MW-CEUS sequence can be adapted to other transmission coding formats. These properties of MW-CEUS can potentially facilitate CEUS imaging for many clinical applications, especially assessing deep abdominal organs or the heart.
On mourning and recovery: Integrating stages of grief and change toward a neuroscience-based model of attachment adaptation in addiction treatment

Interpersonal attachment and drug addiction share many attributes across their behavioral and neurobiological domains. Understanding the overlapping brain circuitry of attachment formation and addiction illuminates a deeper understanding of the pathogenesis of trauma-related mental illnesses and comorbid substance use disorders, and the extent to which ending an addiction is complicated by being a sort of mourning process. Attention to the process of addiction recovery-as a form of grieving-in which Kubler-Ross's stages of grief and Prochaska's stages of change are ultimately describing complementary viewpoints on a general process of neural network and attachment remodeling, could lead to more effective and integrative psychotherapy and medication strategies.
Chiral Light Front Perturbation Theory and the Flavor Dependence of the Light-Quark Nucleon Sea

The light-quark flavor dependence of the proton sea has been of great interest for many years because of its close connection with nonperturbative effects. One hypothesis is that this dependence arises from the pion cloud of the proton. We apply light-cone perturbation theory and experimental constraints to a chiral Lagrangian to compute the relevant Fock-space components of the nucleon wave function with well-defined uncertainties. Existing experimental information regarding the light-flavor sea is studied and predictions for future experimental results are provided. Future experiments have the ability to rule out this hypothesis and have profound implications for understanding the nucleon-nucleon force.
The value of a year's general education for reducing the symptoms of dementia

We present a method for estimating the benefits of years of education for reducing dementia symptoms based on the cost savings that would accrue from continuing independent living rather than relyi...
Unity in Diversity? How Intergroup Contact Can Foster Nation Building

Throughout history, many governments have introduced policies to unite diverse groups through a shared sense of national identity. However, intergroup relationships at the local level are often slow to develop and confounded by spatial sorting and segregation. We shed new light on the long-run process of nation building using one of history's largest resettlement programs. Between 1979 and 1988, the Transmigration program in Indonesia relocated two million voluntary migrants from the Inner Islands of Java and Bali to the Outer Islands, in an effort to integrate geographically segregated ethnic groups. Migrants could not choose their destinations, and the unprecedented scale of the program created hundreds of new communities with varying degrees of diversity. We exploit this policy-induced variation to identify how diversity shapes incentives to integrate more than a decade after resettlement. Using rich data on language use at home, marriage, and identity choices, we find stronger integration in diverse communities. To understand why changes in diversity did not lead to social anomie or conflict, we identify mechanisms that influence intergroup relationships, including residential segregation, cultural distance, and perceived economic and political competition from migrants. Overall, our findings contribute lessons for the design of resettlement policies and provide a unique lens into the intergenerational process of integration and nation building.
Neonatal Herpes Simplex Virus Infection

Herpes simplex virus (HSV) is among the most severely debilitating viruses that can infect the neonate, and is associated with significant mortality and morbidity. Neonatal HSV infection generally is acquired in the peripartum period, and can be devastating if not diagnosed appropriately. Studies conducted over several decades have advanced our knowledge of the benefit of antiviral therapy on neonatal HSV disease outcomes. As such, many neonates now are effectively treated and experience no or fewer long-term sequelae of this potentially devastating infection. Clinicians must be astute, because early diagnosis and early treatment are key to a better prognosis.
A spherical hidden Markov model for semantics-rich human mobility modeling

We study the problem of modeling human mobility from semantic trace data, wherein each GPS record in a trace is associated with a text message that describes the user's activity. Existing methods fall short in unveiling human movement regularities, because they either do not model the text data at all or suffer from text sparsity severely. We propose SHMM, a multi-modal spherical hidden Markov model for semantics-rich human mobility modeling. Under the hidden Markov assumption, SHMM models the generation process of a given trace by jointly considering the observed location, time, and text at each step of the trace. The distinguishing characteristic of SHMM is the text modeling part. We use fixed-size vector representations to encode the semantics of the text messages, and model the generation of the l2-normalized text embeddings on a unit sphere with the von Mises-Fisher (vMF) distribution. Compared with other alternatives like multi-variate Gaussian, our choice of the vMF distribution not only incurs much fewer parameters, but also better leverages the discriminative power of text embeddings in a directional metric space. The parameter inference for the vMF distribution is non-trivial since it involves functional inversion of ratios of Bessel functions. We theoretically prove that: 1) the classical Expectation-Maximization algorithm can work with vMF distributions; and 2) while closed-form solutions are hard to be obtained for the M-step, Newton's method is guaranteed to converge to the optimal solution with quadratic convergence rate. We have performed extensive experiments on both synthetic and real-life data. The results on synthetic data verify our theoretical analysis; while the results on real-life data demonstrate that SHMM learns meaningful semantics-rich mobility models, outperforms state-of-the-art mobility models for next location prediction, and incurs lower training cost.
Barbarians at the Gate of the Middle Kingdom: The International Mobility of Financing Contract and Governance:

Focusing on equity ratchet as a practice, we study how foreign private equity (PE) investors interacted with local agents in the process of legitimation and legalization of foreign financing contra...
Enhanced Proofreading Governs CRISPR-Cas9 Targeting Accuracy

The RNA-guided CRISPR-Cas9 nuclease from Streptococcus pyogenes (SpCas9) has been widely repurposed for genome editing. High-fidelity (SpCas9-HF1) and enhanced specificity (eSpCas9(1.1)) variants exhibit substantially reduced off-target cleavage in human cells, but the mechanism of target discrimination and the potential to further improve fidelity were unknown. Using single-molecule Forster resonance energy transfer (smFRET) experiments, we show that both SpCas9-HF1 and eSpCas9(1.1) are trapped in an inactive state when bound to mismatched targets. We find that a non-catalytic domain within Cas9, REC3, recognizes target mismatches and governs the HNH nuclease to regulate overall catalytic competence. Exploiting this observation, we identified residues within REC3 involved in mismatch sensing and designed a new hyper-accurate Cas9 variant (HypaCas9) that retains robust on-target activity in human cells. These results offer a more comprehensive model to rationalize and modify the balance between target recognition and nuclease activation for precision genome editing.
Different presentations of a mathematical concept can support learning in complementary ways

Previous research has found that different presentations of the same concept can result in different patterns of transfer to isomorphic instances of that concept. Much of this work has framed these effects in terms of advantages and disadvantages of concreteness or abstractness. We note that mathematics is a richly structured field, with deeply interconnected concepts and many distinct aspects of understanding of each concept, and we discuss difficulties with the idea that differences among presentations can be ordered on a concrete-abstract dimension. To move beyond this, we explore how different presentations of a concept can affect learning of subsequent concepts and assess several distinct aspects of understanding. Using the domain of elementary group theory, we teach adult participants a group operation using a visuospatial or an arithmetic presentation. We then teach them concepts that build upon this operation. We demonstrate that our presentations differentially support learning complementary aspects of the system presented. We argue that these differences arise from the fact that each presentation supports learning by connecting to different systems of reasoning learners are already familiar with, and that it is these connections to extant knowledge systems, rather than differences in concreteness versus abstractness, that determine whether a presentation will be helpful. Furthermore, we show that presenting both presentations and encouraging participants to recognize the relationship between them improves performance without requiring additional time, at least for some participants. (PsycINFO Database Record (c) 2018 APA, all rights reserved)
Rook Placements and Jordan Forms of Upper-Triangular Nilpotent Matrices

The set of $n$ by $n$ upper-triangular nilpotent matrices with entries in a finite field $\mathbb{F}_q$ has Jordan canonical forms indexed by partitions $\lambda \vdash n$. We present a combinatorial formula for computing the number $F_\lambda(q)$ of matrices of Jordan type $\lambda$ as a weighted sum over standard Young tableaux. We construct a bijection between paths in a modified version of Young's lattice and non-attacking rook placements, which leads to a refinement of the formula for $F_\lambda(q)$.
A High Resolution Coupled Fire–Atmosphere Forecasting System to Minimize the Impacts of Wildland Fires: Applications to the Chimney Tops II Wildland Event

Wildland fires are responsible for large socio-economic impacts. Fires affect the environment, damage structures, threaten lives, cause health issues, and involve large suppression costs. These impacts can be mitigated via accurate fire spread forecast to inform the incident management team. We show that a fire forecast system based on a numerical weather prediction (NWP) model coupled with a wildland fire behavior model can provide this forecast. This was illustrated with the Chimney Tops II wildland fire responsible for large socio-economic impacts. The system was run at high horizontal resolution (111 m) over the region affected by the fire to provide a fine representation of the terrain and fuel heterogeneities and explicitly resolve atmospheric turbulence. Our findings suggest that one can use the high spatial resolution winds, fire spread and smoke forecast to minimize the adverse impacts of wildland fires.
Accounting‐Based Compensation and Debt Contracts*

We examine how accounting‐based compensation plans influence a firm's contracts with its creditors. After granting long‐term accounting‐based compensation plans (LTAPs) to CEOs, firms pay lower spreads and have fewer restrictive covenants in new bank loans. Mechanisms leading to lower borrowing cost include improvements in debt repayment ability, reduced shareholder‐debtholder conflicts, and reduced risk‐taking incentives. Creditors view LTAPs as a substitute for monitoring, adjust covenant design based on LTAP features, and value plans with concave performance‐payout functions and reasonable performance targets. A firm's credit rating improves and CDS spread declines after LTAP grants, suggesting that LTAPs help reduce firms' credit risk. Remuneration fondee sur le rendement et contrats d'emprunt Nous examinons de quelle facon les regimes de remuneration fondee sur le rendement influencent les contrats qui lient une societe et ses creanciers. Une fois qu'elles ont accorde un regime de remuneration fondee sur le rendement a long terme (LTAP) a leur PDG, les societes qui contractent de nouveaux emprunts bancaires profitent de marges plus faibles et d'un nombre moins eleve de clauses restrictives. Les mecanismes entrainant une baisse du cout des emprunts comprennent l'accroissement de la capacite de remboursement, des relations moins conflictuelles entre les actionnaires et les creanciers ainsi qu'une reduction des incitatifs a la prise de risques. Les creanciers considerent les LTAP comme une mesure de remplacement de la surveillance, elaborent les conventions en fonction des caracteristiques des LTAP et apprecient les regimes presentant des fonctions concaves pour la remuneration fondee sur le rendement et des cibles de rendement raisonnables. Apres l'octroi d'un LTAP, la cote de credit des societes s'ameliore et les ecarts lies aux swaps sur defaillance diminuent, ce qui porte a croire que les LTAP contribuent a reduire le risque de credit des societes.
Adult education in Nigeria: The consequence of neglect and agenda for action

In spite of the rich variety of natural resources in Nigeria, the country is still very much underdeveloped. Within and outside Nigeria, analysts are of the view that the country clearly has the potential to be prosperous. As Nigeria attempts without much success to pull itself out of the quagmire of underdevelopment, the inevitably persistent question has been: given the resources at its disposal, why has the country remained mired in poverty? This paper attempts to provide a partial answer by arguing that Nigeria’s inadequate commitment, over the years, to pursue the development of adult education as a strategic objective, as well as an instrument for national development has been one of the major drawbacks to the country’s efforts to pull itself out of poverty. Underscoring the role of education in contemporary society, the paper proposes an adult education agenda for Nigeria. Adult education, adult learning, development education, Nigerian education, entrepreneurship education
The Parallel Persistent Memory Model

We consider a parallel computational model, the Parallel Persistent Memory model, comprised of P processors, each with a fast local ephemeral memory of limited size, and sharing a large persistent memory. The model allows for each processor to fault at any time (with bounded probability), and possibly restart. When a processor faults, all of its state and local ephemeral memory is lost, but the persistent memory remains. This model is motivated by upcoming non-volatile memories that are nearly as fast as existing random access memory, are accessible at the granularity of cache lines, and have the capability of surviving power outages. It is further motivated by the observation that in large parallel systems, failure of processors and their caches is not unusual. We present several results for the model, using an approach that breaks a computation into capsules, each of which can be safely run multiple times. For the single-processor version we describe how to simulate any program in the RAM, the external memory model, or the ideal-cache model with an expected constant factor overhead. For the multiprocessor version we describe how to efficiently implement a work-stealing scheduler within the model such that it handles both soft faults, with a processor restarting, and hard faults, with a processor permanently failing. For any multithreaded fork-join computation that is race free, write-after-read conflict free and has W work, D depth, and C maximum capsule work in the absence of faults, the scheduler guarantees a time bound on the model of $Oleft(\fracW P_A + \fracDP P_A leftlceillog_1/(C\f) W\right\rceil\right)$ in expectation, where P is the maximum number of processors, $P_A$ is the average number, and $\faultprob leq 1/(2C)$ is the probability a processor faults between successive persistent memory accesses. Within the model, and using the proposed methods, we develop efficient algorithms for parallel prefix sums, merging, sorting, and matrix multiply.
Algorithmic Building Blocks for Asymmetric Memories

The future of main memory appears to lie in the direction of new non-volatile memory technologies that provide strong capacity-to-performance ratios, but have write operations that are much more expensive than reads in terms of energy, bandwidth, and latency. This asymmetry can have a significant effect on algorithm design, and in many cases it is possible to reduce writes at the cost of more reads. This paper studies which algorithmic techniques are useful in designing practical write-efficient algorithms. We focus on several fundamental algorithmic building blocks including unordered set/map implemented using hash tables, comparison sort, and graph traversal algorithms including breadth-first search and Dijkstra's algorithm. We introduce new algorithms and implementations that can reduce writes, and analyze the performance experimentally using a software simulator. Finally, we summarize interesting lessons and directions in designing write-efficient algorithms that can be valuable to share.
Ionospheric Density Irregularities, Turbulence, and Wave Disturbances During the Total Solar Eclipse Over North America on 21 August 2017

Data from ionosonde and GPS total electron content (TEC) observations reveal a number of ionospheric phenomena that occurred in response to the total solar eclipse on 21 August 2017 over North America. The eclipse started over the US west coast at ∼16:00 UTC (08:00 LT) and ended over the US east coast at ∼20:00 UTC (15:00 LT). We identify the growth of plasma density irregularities and turbulence on the bottomside ionosphere during the eclipse totality (at ∼10:34 LT over the Idaho station), signified by the distinct appearance of spread-F echoes in the ionosonde data. These spread-F echoes appeared in both O-mode and X-mode traces, and they lasted for approximately 10 minutes. Preceding the appearance of the spread echoes, an uplift of the ionospheric F-layer and steepening of the bottomside ionospheric density gradient were seen in the ionosonde data. In addition, data from the ionosonde observations also show some characteristic signatures of traveling ionospheric disturbances (TIDs) at ∼300 km altitude during the eclipse. The TIDs in the ionosonde observations were observed roughly 30 minutes after the time of maximum eclipse, and they have a wave periodicity of approximately 10 minutes. In other words, these TIDs were in the wake of the eclipse totality (lagging behind the umbra), and the wave period was shorter than the medium-scale or short-scale TIDs typically seen in the GPS TEC data. Finally, large reductions in TEC and ionospheric plasma densities (by 33%–45%) as a response to the eclipse were observed in both the GPS TEC and ionosonde data. The ionospheric density in the ionospheric E-region reached minimum roughly at the same time as the maximum eclipse, while the ionospheric F-region density and GPS TEC reached minimum 20–30 minutes after the maximum eclipse.
Predicting Expressive Speaking Style from Text in End-To-End Speech Synthesis

Global Style Tokens (GSTs) are a recently-proposed method to learn latent disentangled representations of high-dimensional data. GSTs can be used within Tacotron, a state-of-the-art end-to-end text-to-speech synthesis system, to uncover expressive factors of variation in speaking style. In this work, we introduce the Text-Predicting Global Style Token (TP-GST) architecture, which treats GST combination weights or style embeddings as “virtual” speaking style labels within Tacotron. TP-GST learns to predict stylistic renderings from text alone, requiring neither explicit labels during training, nor auxiliary inputs for inference. We show that, when trained on an expressive speech dataset, our system can render text with more pitch and energy variation than two state-of-the-art baseline models. We further demonstrate that TP-GSTs can synthesize speech with background noise removed, and corroborate these analyses with positive results on human-rated listener preference audiobook tasks. Finally, we demonstrate that multi-speaker TP-GST models successfully factorize speaker identity and speaking style. We provide a website with audio samples 1 for each of our findings.
Optimal Control of Markov-Modulated Multiclass Many-Server Queues

We study multiclass many-server queues for which the arrival, service, and abandonment rates are all modulated by a common finite-state Markov process. We assume that the system operates in the “av...
Role of electron inertia and electron/ion finite Larmor radius effects in low-beta, magneto-Rayleigh-Taylor instability

The magneto-Rayleigh-Taylor (MRT) instability has been investigated in great detail in previous work using magnetohydrodynamic and kinetic models for low-beta plasmas. The work presented here extends previous studies of this instability to regimes where finite-Larmor-Radius (FLR) effects may be important. Comparisons of the MRT instability are made using a 5-moment and a 10-moment two-fluid model, the two fluids being ions and electrons. The 5-moment model includes Hall stabilization, whereas the 10-moment model includes Hall and FLR stabilization. Results are presented for these two models using different electron mass to understand the role of electron inertia in the late-time nonlinear evolution of the MRT instability. For the 5-moment model, the late-time nonlinear MRT evolution does not significantly depend on the electron inertia. However, when FLR stabilization is important, the 10-moment results show that a lower ion-to-electron mass ratio (i.e., larger electron inertia) under-predicts the energy in high-wavenumber modes due to larger FLR stabilization.