cssi/SciSciGPT-SciSciNet huggingface dataset:
Parallel Deep Neural Network Training for Big Data on Blue Gene/Q

Deep Neural Networks (DNNs) have recently been shown to significantly outperform existing machine learning techniques in several pattern recognition tasks. DNNs are the state-of-the-art models used in image recognition, object detection, classification and tracking, and speech and language processing applications. The biggest drawback to DNNs has been the enormous cost in computation and time taken to train the parameters of the networks-often a tenfold increase relative to conventional technologies. Such training time costs can be mitigated by the application of parallel computing algorithms and architectures. However, these algorithms often run into difficulties because of the cost of inter-processor communication bottlenecks. In this paper, we describe how to enable Parallel Deep Neural Network Training on the IBM Blue Gene/Q (BG/Q) computer system. Specifically, we explore DNN training using the data-parallel Hessian-free 2nd order optimization algorithm. Such an algorithm is particularly well-suited to parallelization across a large set of loosely coupled processors. BG/Q, with its excellent inter-processor communication characteristics, is an ideal match for this type of algorithm. The paper discusses how issues regarding programming model and data-dependent imbalances are addressed. Results on large-scale speech tasks show that the performance on BG/Q scales linearly up to 4,096 processes with no loss in accuracy. This allows us to train neural networks using billions of training examples in a few hours.
Power distribution network modeling using block-based approach

A power distribution network (PDN) is a network that provides connection between the voltage source supply and the power/ground terminals of a microprocessor chip. It consists of a voltage regulator module, a printed circuit board, a package substrate, a microprocessor chip as well as decoupling capacitors. For power integrity analysis, the board and package layouts have to be transformed into an electrical network of resistor, inductor and capacitor components which may be expressed using the S-parameters models. This modeling process generally takes from several hours up to a few days for a complete board or package layout. When the board and package layouts change, they need to be re-extracted and the S-parameters models also need to be regenerated for power integrity assessment. This not only consumes a lot of resources such as time and manpower, the task of PDN modeling is also tedious and mundane. In this paper, a block-based PDN modeling is proposed. Here, the board or package layout is partitioned into sub-blocks and each of them is modeled independently. In the event of a change in power rails routing, only the affected sub-blocks will be re-extracted and re-modeled. Simulation results show that the proposed block-based PDN modeling not only can save at least 75% of processing time but it can, at the same time, keep the modeling accuracy on par with the traditional PDN modeling methodology.
Two-Dimensional Phononic Crystals With Acoustic-Band Negative Refraction

A two-dimensional phononic crystal (PC) can exhibit longitudinal-mode negative energy refraction on its lowest (acoustical) frequency pass band. The effective elastodynamic properties of a typical PC are calculated and it is observed that the components of the effective density tensor can achieve negative values at certain low frequencies on the acoustical branches for the longitudinal-mode pass-band, and that negative refraction may be accompanied by either positive or negative effective density. Furthermore, such a PC has a high anisotropy ratio at certain low frequencies, offering potential for application to acoustic cloaking where effective material anisotropy is essential.
Effects of exemestane and letrozole therapy on plasma concentrations of estrogens in a randomized trial of postmenopausal women with breast cancer

Purpose Inter-individual differences in estrogen concentrations during treatment with aromatase inhibitors (AIs) may contribute to therapeutic response and toxicity. The aim of this study was to determine plasma concentrations of estradiol (E2), estrone (E1), and estrone sulfate (E1S) in a large cohort of AI-treated breast cancer patients.
Through A Glass, Darkly: Understanding the Effects of Performance Regimes

While governance increasingly relies on performance regimes, we have relatively limited empirical knowledge of the full effects of these regimes. This article presents a roughly drawn map of such effects, identifying relevant variables and speculating how they interact with performance measures and are reconstituted by performance regimes.
Evaluation of the Simple Safe Site Selection (S4) Hazard Detection Algorithm using Helicopter Field Test Data

Small scale terrain hazards, such as rocks, slopes, and craters, can pose significant risk to landing spacecraft and rover or payload deployment. Onboard Hazard Detection and Avoidance (HDA) systems scan and analyze the landing area for these hazards in real time during descent, and divert the spacecraft to the safest touchdown site. The computationally efficient Simple Safe Site Selection (S4) algorithm combined with a flash LIDAR is an HDA system geared towards small robotic spacecraft. Rather than creating and analyzing a digital elevation map (DEM) from potentially many overlapping range images, S4 operates directly on a single flash LIDAR image. Extending prior work that has analyzed S4 performance for Mars landing using extensive simulations, this paper evaluates S4 performance using actual flash LIDAR images of an artificial hazard field acquired during a 2014 helicopter field test in Death Valley, CA. In particular, we describe LIDAR characterization and calibration, creation of ground truth elevation and safety maps, creation of ground truth sensor poses, actual S4 algorithm processing, and performance analysis. The results show that the safety cost images produced by S4 are remarkably close to the ground truth safety map (computed offline by an HDA algorithm developed under the Autonomous Landing and Hazard Avoidance (ALHAT) project) at significantly reduced computational cost, confirming S4 as a viable candidate algorithm for onboard spacecraft HDA.
A novel technique to enhance low resolution CT and magnetic resonance images

This paper presents a novel method to enhance computerized tomography (CT) and magnetic resonance (MR) images. The proposed algorithm uses three techniques, namely, Domain Transform, Shape-adaptive edge enhancement, and Adaptive histogram equalization to enhance low resolution images. Visually, the proposed method produces better or comparable enhanced images than several state-of-the-art methods [1--4]. In addition, we also test the performance of the proposed method with the method mentioned in [1] using EME [5] and EMEE [6] quality measures.
Fragmentation of Kozai–Lidov Disks

We analyze the gravitational instability (GI) of a locally isothermal inclined disk around one component of a binary system. Such a disk can undergo global Kozai–Lidov (KL) cycles if the initial disk tilt is above the critical KL angle (of about 40◦). During these cycles, an initially circular disk exchanges its inclination for eccentricity, and vice versa. Self-gravity may suppress the cycles under some circumstances. However, with hydrodynamic simulations that include self-gravity, we show that for a sufficiently high initial disk tilts and for certain disk masses, disks can undergo KL oscillations and fragment due to GI, even when the Toomre Q value for an equivalent undisturbed disk is well within the stable regime (). We suggest that KL triggered disk fragmentation provides a mechanism for the efficient formation of giant planets in binary systems and may enhance the fragmentation of disks in massive black hole binaries.
Robust aircraft longitudinal control using model-error control synthesis

In this paper a robust control for aircraft longitudinal motion is presented. The ModelError Control Synthesis (MECS) is developed for this application, which consists of a nominal controller with a model-error predictive filter. The control input is updated directly using the estimated model-error from a predictive filter to cancel the unmodeled dynamics or disturbance inputs. The predictive filter is used only to estimate the model error, whereas an extended Kalman filter is used to provide state estimates from noisy measurements. The nominal control is chosen to be an LQR/dynamic inversion outer/inner loop controller for the longitudinal direction. The control law robustness to unmodeled dynamics and external disturbances is verified when MECS is active and not active. From various simulation results, MECS is shown to have better performance characteristics over the stand-alone nominal control.
PATHOLOGIC FRACTURES: IN A CLASS OF THEIR OWN

The orthopaedic surgeon is often consulted to manage pathologic fractures due to metastatic disease, even though he or she may not be an orthopaedic oncologist. A good understanding of the principles of management of metastatic disease is therefore important. The skeleton remains a common site for metastasis, and certain cancers have a predilection for bone, namely, tumors of the breast, prostate, lung, thyroid, and kidney. Myeloma and lymphoma also often involve bone. The proximal femur and pelvis are most commonly affected, so we will focus on those anatomic sites. The patient may present with pain and impending fracture, or with actual fracture. Careful preoperative medical optimization is recommended. If the lesion is solitary, or the primary is unknown, the diagnosis must be made by a full workup and biopsy before definitive treatment is planned. For patients with known metastasis (the most common situation), the options for treatment of pathologic lesions of the proximal femur generally center on internal fixation versus prosthetic replacement. Patients with breast or prostate metastasis can live for several years after pathologic fracture, so constructs must be relatively durable. If fixation is chosen, it must be stable enough to allow full weight bearing, since the overwhelming majority of pathologic fractures will never heal. In general, long constructs are chosen to protect the entire length of the bone. Nails should protect the femoral neck as well, so cephalomedullary devices are typically chosen. Megaprostheses can be useful in situations where bony destruction precludes stable internal fixation. Postoperative radiation is recommended after wound healing. Acetabular involvement typically requires reinforcement rings or cement augmentation with the Harrington technique. Careful multi-disciplinary medical management is recommended to minimise complications.
Fourier transforms, generic vanishing theorems and polarizations of abelian varieties

The purpose of this paper is to give two applications of Fourier transforms and generic vanishing theorems: – we give a cohomological characterization of principal polarizations – we prove that if X an abelian variety and $\Theta $ a polarization of type (1, ...,1,2), then a general pair $(X,\Theta )$ is log canonical.
Lensless computational imaging through deep learning

Deep learning has been proven to yield reliably generalizable solutions to numerous classification and decision tasks. Here, we demonstrate for the first time to our knowledge that deep neural networks (DNNs) can be trained to solve end-to-end inverse problems in computational imaging. We experimentally built and tested a lensless imaging system where a DNN was trained to recover phase objects given their propagated intensity diffraction patterns.
Performace modeling and optimization for on-chip interconnects in memory arrays

Performance modeling and optimization for on-chip interconnects in DRAM arrays are presented at various technology generations. Multiple interconnect design schemes and novel interconnect technology options are investigated to minimize the overall delay and energy-delay product.
Reactor pressure vessel structural integrity research

Abstract Development continues on the technology used to assess the safety of irradiation embrittled nuclear reactor pressure vessels (RPVs) containing flaws. Fracture mechanics tests on RPV steel, coupled with detailed elastic-plastic finite element analyses of the crack-tip stress fields, have shown that (1) constraint relaxation at the crack-tip of shallow surface flaws results in increased data scatter but no increase in the lower-bound fracture toughness, (2) the nil-ductility temperature ( NDT ) performs better than the reference temperature for nil-ductility transition ( RT NDT ) as a normalizing parameter for shallow flaw fracture toughness data, (3) biaxial loading can reduce the shallow flaw fracture toughness, (4) stress based dual-parameter fracture toughness correlations cannot predict the effect of biaxial loading on shallow flaw fracture toughness because in-plane stresses at the crack-tip are not influenced by biaxial loading, and (5) an implicit strain based dual-parameter fracture toughness correlation can predict the effect of biaxial loading on shallow flaw fracture toughness. Experimental irradiation investigations have shown that (1) the irradiation induced shift in Charpy V-notch vs. temperature behavior may not be adequate to conservatively assess fracture toughness shifts due to embrittlement, and (2) the wide global variations of initial chemistry and fracture properties of a nominally uniform material within a pressure vessel may confound accurate integrity assessments that require baseline properties.
Identifying best interventions through online importance sampling

Motivated by applications in computational advertising and systems biology, we consider the problem of identifying the best out of several possible soft interventions at a source node V in an acyclic causal directed graph, to maximize the expected value of a target node Y (located downstream of V). Our setting imposes a fixed total budget for sampling under various interventions, along with cost constraints on different types of interventions. We pose this as a best arm identification bandit problem with K arms where each arm is a soft intervention at V, and leverage the information leakage among the arms to provide the first gap dependent error and simple regret bounds for this problem. Our results are a significant improvement over the traditional best arm identification results. We empirically show that our algorithms outperform the state of the art in the Flow Cytometry data-set, and also apply our algorithm for model interpretation of the Inception-v3 deep net that classifies images.
A systematic review of psychosocial interventions for colorectal cancer patients.

Purpose A significant minority of colorectal cancer (CRC) patients experience clinically meaningful distress that may warrant intervention. The goal of this systematic review was to assess the impact of psychosocial interventions on quality-of-life and psychosocial outcomes for CRC patients.
Dietary Methionine Restriction Regulates Liver Protein Synthesis and Gene Expression Independently of Eukaryotic Initiation Factor 2 Phosphorylation in Mice.

Background: The phosphorylation of eukaryotic initiation factor 2 (p-eIF2) during dietary amino acid insufficiency reduces protein synthesis and alters gene expression via the integrated stress response (ISR).Objective: We explored whether a Met-restricted (MR) diet activates the ISR to reduce body fat and regulate protein balance.Methods: Male and female mice aged 3-6 mo with either whole-body deletion of general control nonderepressible 2 (Gcn2) or liver-specific deletion of protein kinase R-like endoplasmic reticulum kinase (Perk) alongside wild-type or floxed control mice were fed an obesogenic diet sufficient in Met (0.86%) or an MR (0.12% Met) diet for ≤5 wk. Ala enrichment with deuterium was measured to calculate protein synthesis rates. The guanine nucleotide exchange factor activity of eIF2B was measured alongside p-eIF2 and hepatic mRNA expression levels at 2 d and 5 wk. Metabolic phenotyping was conducted at 4 wk, and body composition was measured throughout. Results were evaluated with the use of ANOVA (P < 0.05).Results: Feeding an MR diet for 2 d did not increase hepatic p-eIF2 or reduce eIF2B activity in wild-type or Gcn2-/- mice, yet many genes transcriptionally regulated by the ISR were altered in both strains in the same direction and amplitude. Feeding an MR diet for 5 wk increased p-eIF2 and reduced eIF2B activity in wild-type but not Gcn2-/- mice, yet ISR-regulated genes altered in both strains similarly. Furthermore, the MR diet reduced mixed and cytosolic but not mitochondrial protein synthesis in both the liver and skeletal muscle regardless of Gcn2 status. Despite the similarities between strains, the MR diet did not increase energy expenditure or reduce body fat in Gcn2-/- mice. Finally, feeding the MR diet to mice with Perk deleted in the liver increased hepatic p-eIF2 and altered body composition similar to floxed controls.Conclusions: Hepatic activation of the ISR resulting from an MR diet does not require p-eIF2. Gcn2 status influences body fat loss but not protein balance when Met is restricted.
High-Fat Diet Feeding Alters Expression of Hepatic Drug-Metabolizing Enzymes in Mice

Medical conditions accompanying obesity often require drug therapy, but whether and how obesity alters the expression of drug-metabolizing enzymes and thus drug pharmacokinetics is poorly defined. Previous studies have shown that high-fat diet (HFD) feeding and subsequent obesity in mice lead to altered expression of transcriptional regulators for cytochrome P450 CYP2D6, including hepatocyte nuclear factor 4α (HNF4α, a transcriptional activator of CYP2D6) and small heterodimer partner (SHP, a transcriptional repressor of CYP2D6). The objective of this study was to examine whether diet-induced obesity alters CYP2D6 expression by modulating HNF4α and SHP expression. Male CYP2D6-humanized transgenic (Tg-CYP2D6) mice were fed with HFD or matching control diet for 18 weeks. Hepatic mRNA expression of CYP2D6 decreased to a small extent in the HFD group (by 31%), but the differences in CYP2D6 protein and activity levels in hepatic S9 fractions were found insignificant between the groups. Although hepatic SHP expression did not differ between the groups, HNF4α mRNA and protein levels decreased by ∼30% in the HFD group. Among major mouse endogenous cytochrome P450 genes, Cyp1a2 and Cyp2c37 showed significant decreases in the HFD group, whereas Cyp2e1 expression did not differ between groups. Cyp2b10 and Cyp3a11 expression was higher in the HFD group, with corresponding 2.9-fold increases in hepatic CYP3A activities in HFD-fed mice. Together, these results suggest that obesity has minimal effects on CYP2D6-mediated drug metabolism, although it modulates the expression of mouse endogenous P450s in a gene-specific manner.
Does the demand regime matter over the medium run? Revisiting distributional issues in a portfolio framework under different exchange rate regimes

Is demand in capitalist economies wage‐led or profit‐led, and does this matter over time? Empirical studies have found conflicting results for different countries and periods. Possible reasons may include the endogeneity of distributional shares, differences in the monetary policy/exchange rate regimes across countries, and divergence between macro behavior in the short‐ and medium‐runs. I theoretically explore these possibilities using a portfolio balance framework to keep track of asset stocks and wealth effects over time. With fixed exchange rates, the Central Bank's need to intervene in the asset market via official reserve transactions results in assigning a crucial role to the current account in constraining demand and output. The binding nature of this constraint vanishes with flexible exchange rates. Regardless of the exchange rate regime, the most important message that emerges is that, once we impose plausible constraints on dynamic behavior, the demand regime may cease to determine the effect of redistribution on the steady state levels of utilization, profit rates, capital and wealth.
Modeling Shear Failure in Precast Prestressed Concrete Hollowcore Slabs under Fire Conditions

AbstractPrestressed concrete (PC) hollowcore slabs when exposed to fire are susceptible to failure under shear limit state. However, current approaches do not consider shear limit state in evaluati...
Financial Reporting for Pollution Reduction Programs

We develop a conceptually grounded approach, based on the International Accounting Standards Board’s conceptual framework, to the accounting for the rights and obligations embodied in a cap-and-tra...
Defect luminescence in heavily Mg doped GaN

Behavior of the photoluminescence band at about 2.8 eV in heavily Mg doped GaN has been studied at different temperatures and excitation intensities. The 2.8 eV band is attributed to donor-acceptor transitions involving a Mg acceptor. The large blue shift of the band with increasing excitation intensity is explained by variation in the contribution of close and distant pairs to the luminescence. The red shift of the band with increasing temperature under high excitation intensity conditions results from thermal release of carriers from close pairs. The thermal activation energy of the deep donor, about 0.4 eV, is determined from the quenching of the 2.8 eV luminescence band at high temperatures.
Using Multiple Texts to Teach Critical Reading Skills to Linguistically Diverse Students

Mastery of developmental reading courses offers both an opportunity for academic enrichment and a barrier to college completion. We examine what it means to use multiple texts in college developmental reading courses, the benefits of using them, and considerations that instructors may employ in their instructions. A review of the literature indicates Linguistically Diverse students often lack the required critical thinking skills needed to tackle the rigor and demand of their college level courses. We conducted a study to tests whether using multiple texts improved LDs critical reading skills.
Altitude Scaling of Thermal Ice Protection Systems in Running Wet Operation

A study into the effects of altitude on an aircraft thermal ice protection system (IPS) performance has been conducted by the National Research Council Canada (NRC) in collaboration with the NASA G...
The thermodynamic efficiency of computations made in cells across the range of life

Biological organisms must perform computation as they grow, reproduce and evolve. Moreover, ever since Landauer's bound was proposed, it has been known that all computation has some thermodynamic cost-and that the same computation can be achieved with greater or smaller thermodynamic cost depending on how it is implemented. Accordingly an important issue concerning the evolution of life is assessing the thermodynamic efficiency of the computations performed by organisms. This issue is interesting both from the perspective of how close life has come to maximally efficient computation (presumably under the pressure of natural selection), and from the practical perspective of what efficiencies we might hope that engineered biological computers might achieve, especially in comparison with current computational systems. Here we show that the computational efficiency of translation, defined as free energy expended per amino acid operation, outperforms the best supercomputers by several orders of magnitude, and is only about an order of magnitude worse than the Landauer bound. However, this efficiency depends strongly on the size and architecture of the cell in question. In particular, we show that the useful efficiency of an amino acid operation, defined as the bulk energy per amino acid polymerization, decreases for increasing bacterial size and converges to the polymerization cost of the ribosome. This cost of the largest bacteria does not change in cells as we progress through the major evolutionary shifts to both single- and multicellular eukaryotes. However, the rates of total computation per unit mass are non-monotonic in bacteria with increasing cell size, and also change across different biological architectures, including the shift from unicellular to multicellular eukaryotes.This article is part of the themed issue 'Reconceptualizing the origins of life'.
Cadaveric Renal Transplantation in the Cyclosporine and OKT3 Eras

With advances in clinical immunosuppression, results in organ transplantation continue to improve. During a 52-month period, 507 cadaver renal transplants were performed, including 435 primary and 72 nonprimary transplants. All patients were managed with quadruple immunosuppression (prednisone, azathioprine, sequential MALG and cyclosporine). Our experience is divided into pre-OKT3 (n = 228) and OKT3 (n = 279) eras. All kidneys were harvested locally and preserved with pulsatile machine perfusion. The mean duration of preservation was 30.1 hours, with an organ utilization rate of 98.1%. The preservation-related dialysis rate was 13.6%, and primary nonfunction occurred in 8 kidneys (1.6%). Actuarial patient survival in primary and secondary transplant recipients was 90% at 3 years. Overall primary graft survival was 81.6% and nonprimary graft survival, 61.1%. However, the current OKT3 era is characterized by improved patient survival (98% vs 90%, p = 0.001) and primary graft survival (91% vs 80%, p = 0.002) at 1 year when compared with the previous era. Forty-nine patients have received OKT3 therapy, with 31 grafts (63.3%) successfully rescued. Cadaveric renal transplantation with machine preservation, quadruple therapy, and OKT3 rescue is associated with excellent early graft function, reduced acute rejection, and improved patient and allograft survival, even in high-risk recipients.
Perinephric Abscess: Modern Diagnosis and Treatment in 47 Cases

The records of 47 patients with a perinephric abscess diagnosed from 1975 to 1986 at 8 San Francisco Bay Area hospitals were reviewed. The mean age was 51 years. Fifty-five percent were females and 45%, males. The left kidney was affected in 47% of cases, the right kidney in 40%, both in 4%, and a transplanted pelvic kidney in 9%. Fever (55%), chills or diaphoresis (47%), flank pain (40%), abdominal pain (40%), and nausea or vomiting (32%) were the most common presenting symptoms. About half the patients had symptoms for 1 week or less and 12% had no symptoms. Fever was documented before diagnosis in 88% of patients. Abdominal mass (13%) or tenderness (49%), and flank mass (9%) or tenderness (42%) were seen less frequently, and 11% of patients did not have fever, flank, or abdominal findings. The most frequent underlying conditions included previous urologic surgery (45%), previous urinary tract infection (38%), diabetes mellitus (36%), and urinary tract stones (36%). Cultures of perinephric abscesses yielded gram-negative aerobes in 52% of patients, primarily Escherichia coli. Staphylococcus aureus was isolated in 26% of patients and anaerobes in 17%. A single pathogen was isolated in 71% and multiple isolates in 29%. Of interest and great potential therapeutic importance was culture of anaerobes, primarily Bacteroides spp. in 17%, Enterococcus spp. in 7%, and Candida albicans in 7%. Positive blood and urine cultures identified perinephric abscess organisms exactly in 58% and 37% of cases, respectively. Routine laboratory tests such as the white blood cell count and urinalysis were insensitive and non-specific for perinephric abscess. Leukocytosis and anemia at admission were seen in slightly more than half of the patients. For radiologic diagnosis, computerized tomographic scanning was most helpful. Ultrasound and intravenous pyelography were falsely negative in about one-third of cases. Mortality (13%) was low in this series when compared with earlier studies, and probably reflects modern medical care. Six patients (13%) died during hospitalization, 2 of whom had diagnosis of PNA established only at autopsy. Drainage of the perinephric abscess was carried out by open surgical drainage in 64% of patients, percutaneous drainage in 19%, and both in 13%. The initial procedure, whether open surgical drainage or percutaneous catheter drainage, was usually successful. Late complications included nephrocutaneous fistulas in 3 patients and disseminated candidiasis in 1 patient.
Ultrasonic Demonstration of Ectopic Ureterocele

The gray scale ultrasound findings in two children with ectopic ureterocele are presented and correlated with traditional radiographic findings. In one case, the diagnosis was made in utero, utilizing ultrasound. The examination is noninvasive and performed quickly, and it may be able to replace the intravenous pyelogram in the initial evaluation of patients suspected of having such congenital anomalies. Retrograde cystography will still be necessary to detect vesicoureteral reflux.
Tumor Location and Drug Targeting Using a Monoclonal Antibody (Anti-SSEA-1) and Antigen-Binding Fragments

Both murine and heterotransplanted human nonseminomatous germ-cell tumors have been successfully located by external scintigraphy using radioiodinated anti-SSEA-1, a monoclonal IgM, and its pepsin-derived antigen-binding fragment, F(ab')2 mu. Antibody localization in the tumor is mainly due to antigenic specificity, rather than to nonspecific trapping, and depends strongly on the amount of time after injection. The antibody has been used for drug targeting in vitro and in vivo.
Aspiration Flow Cytometry of the Testes in the Evaluation of Spermatogenesis in the Infertile Male

Deoxyribonucleic acid (DNA) flow cytometry of testicular tissue has been demonstrated to be a quantitative means of assessing spermatogenesis. This study evaluates testes aspirates and DNA flow cytometry in the evaluation of the infertile male. Testicular tissue obtained from 12 men who underwent bilateral orchiectomy for prostate cancer (group 1) were examined by both flow cytometry and standard histologic technique to assess the correlation between these two modalities. Thirteen men evaluated for infertility (group 2) and requiring histologic evaluation of spermatogenesis underwent both open biopsy and fine needle aspiration of their testes. Histology was independently examined and grouped according to standard nomenclature. Flow cytometric analysis revealed characteristic patterns in the relative numbers of haploid (1C), diploid (2C), and tetraploid (4C) cells. These patterns correlated reproducibly with the histologic diagnoses. DNA flow cytometry of testicular aspirates provides a rapid and reliable quantitative means of assessing spermatogenesis.
Imaging of NW placement for 10 nm and beyond

Understanding of the accuracy of well (here, N-well or NW) placement is a key feature for device characterization and understanding of yield detractors. An analysis technique which provides quick turnaround and allows not only quick examination across large areas but also SEM resolution is needed. Failure analysis of an RX (active) Short in a < 14 nm serpentine/comb test structure indicated a junction problem. A novel yet simple technique for mapping junction profiles based on contrasts observed in low energy e-beam SEM voltage contrast (SEM-VC) was evaluated on carefully delayered samples. The test samples were also characterized by scanning capacitance microscopy (SCM) to correlate with SEM-VC results. The SEM-VC in one case exactly predicted the well image. However, further investigation showed that distinct SEM-VC features on other similarly delayered samples had nothing to do with the underlying junction profiles. For this reason, OBIRCH (Optical Beam Induced Resistance CHange) was used to determine areas of high and low leakage for an SRAM-like test structure.
E-QED: Electrical Bug Localization During Post-Silicon Validation Enabled by Quick Error Detection and Formal Methods

During post-silicon validation, manufactured integrated circuits are extensively tested in actual system environments to detect design bugs. Bug localization involves identification of a bug trace (a sequence of inputs that activates and detects the bug) and a hardware design block where the bug is located. Existing bug localization practices during post-silicon validation are mostly manual and ad hoc, and, hence, extremely expensive and time consuming. This is particularly true for subtle electrical bugs caused by unexpected interactions between a design and its electrical state. We present E-QED, a new approach that automatically localizes electrical bugs during post-silicon validation. Our results on the OpenSPARC T2, an open-source 500-million-transistor multicore chip design, demonstrate the effectiveness and practicality of E-QED: starting with a failed post-silicon test, in a few hours (9 h on average) we can automatically narrow the location of the bug to (the fan-in logic cone of) a handful of candidate flip-flops (18 flip-flops on average for a design with ~1 Million flip-flops) and also obtain the corresponding bug trace. The area impact of E-QED is ~2.5%. In contrast, determining this same information might take weeks (or even months) of mostly manual work using traditional approaches.
Polarized Moller scattering asymmetries

The utility of polarized electron beams for precision electroweak studies is described. Parity violating Moller scattering asymmetries in e-e-→e-e- are discussed. Effects of electroweak radiative corrections and the running sin2θW(Q2) are reviewed. The sensitivity of E158 (a fixed target e-e- experiment at SLAC) and future e-e- collider studies to "new physics" is briefly outlined.
Charge Trapping Centers in Ferroelectric Ceramics

Electron paramagnetic resonance (EPR), photo-thermal deflection spectroscopy (PDS), and electrical measurements have been used to characterize as-received and UV-lluminated lead lanthanum zirconate titanate (PLZT) and PZT ceramics. Following optical illumination we observe the activation of positively charged Pb+3 and negatively charged Ti+3 ions, as well as an increased broad absorption peak around 2.6 eV. The spatial distribution of the induced absorption correlates well with the location of the absorbed UV, suggesting that photo-produced carrier pairs are trapped at Ti+4 and Pb+2 producing the observed paramagnetism. The Ti+3 EPR spectra were successfully fit using the crystal field parameters derived from the PDS spectra. Preliminary results suggest that these charged paramagnetic ions can influence the electrical properties of PZT thin films. We investigated the effects of UV light and dc bias sequences by polarization-electric field (PE) measurements and find that the coercive fields are dependent on the sign of the applied bias during UV exposure. It is reasonable to expect that Pb+3 and/or Ti+3 ions act as the charge trapping sites which cause the threshold voltage shifts in the PE loop.
Faster Information Gathering in Ad-Hoc Radio Tree Networks

We study information gathering in ad-hoc radio networks. Initially, each node of the network has a piece of information called a rumor, and the overall objective is to gather all these rumors in the designated target node. The ad-hoc property refers to the fact that the topology of the network is unknown when the computation starts. Aggregation of rumors is not allowed, which means that each node may transmit at most one rumor in one step. We focus on networks with tree topologies, that is we assume that the network is a tree with all edges directed towards the root, but, being ad-hoc, its actual topology is not known. We provide two deterministic algorithms for this problem. For the model that does not assume any collision detection nor acknowledgement mechanisms, we give an $$O(n\log \log n)$$ -time algorithm, improving the previous upper bound of $$O(n\log n)$$ . We then show that this running time can be reduced to O(n), which is asymptotically optimal, if the model allows for acknowledgements of successful transmissions.
Investor sentiment and management earnings forecast bias

This study investigates whether investor sentiment is associated with behavioral bias in managers’ annual earnings forecasts that are generally issued early in the year when uncertainty is relatively high. I provide evidence that management earnings forecast optimism increases with investor sentiment. Furthermore, I find that managers’ annual earnings forecasts are more pessimistic during low-sentiment periods than during normal-sentiment periods. Since managers lack incentives to further deflate stock prices during a low-sentiment period, this evidence indicates that sentiment-related management earnings forecast bias is likely to be unintentional. In addition, I find that the relationship between management earnings forecast bias and investor sentiment is stronger for firms with higher uncertainty, consistent with investor sentiment having a greater influence on management earnings forecasts when uncertainty is higher.
The Peculiar Periodic YSO WL 4 in ρ Ophiuchus

We present the discovery of 130.87 day periodic near-infrared flux variability for the Class II T Tauri star WL 4 (=2MASS J16271848–2429059, ISO-Oph 128). Our data are from the 2MASS Calibration Point Source Working Database and constitute 1580 observations in J, H, and K_s of a field in ρ Ophiuchus used to calibrate the 2MASS All-Sky Survey. We identify a light curve for WL 4 with eclipse amplitudes of ~0.4 mag lasting more than one-quarter the period and color variations in J–H and H–Ks of ~0.1 mag. The long period cannot be explained by stellar rotation. We propose that WL 4 is a triple YSO system, with an inner binary orbital period of 130.87 days. We posulate that we are observing each component of the inner binary alternately being eclipsed by a circumbinary disk with respect to our line of sight. This system will be useful in investigating terrestrial-zone YSO disk properties and dynamics at ~1 Myr.
Twelve tips for using applied improvisation in medical education

Future physicians will practice medicine in a more complex environment than ever, where skills of interpersonal communication, collaboration and adaptability to change are critical. Applied improvisation (or AI) is an instructional strategy which adapts the concepts of improvisational theater to teach these types of complex skills in other contexts. Unique to AI is its very active teaching approach, adapting theater games to help learners meet curricular objectives. In medical education, AI is particularly helpful when attempting to build students' comfort with and skills in complex, interpersonal behaviors such as effective listening, person-centeredness, teamwork and communication. This article draws on current evidence and the authors' experiences to present best practices for incorporating AI into teaching medicine. These practical tips help faculty new to AI get started by establishing goals, choosing appropriate games, understanding effective debriefing, considering evaluation strategies and managing resistance within the context of medical education.
Trends in pediatric adjusted shock index predict morbidity and mortality in children with severe blunt injuries

Abstract Purpose The utility of measuring the pediatric adjusted shock index (SIPA) at admission for predicting severity of blunt injury in pediatric patients has been previously reported. However, the utility of following SIPA after admission is not well described. Methods The trauma registry from a level-one pediatric trauma center was queried from January 1, 2010 to December 31, 2015. Patients were included if they were between 4 and 16years old at the time of admission, sustained a blunt injury with an Injury Severity Score≥15, and were admitted less than 12h after their injury (n=286). Each patient's SIPA was then calculated at 0, 12, 24, 36, and 48h after admission and then categorized as elevated or normal at each time frame based upon previously reported values. Trends in outcome variables as a function of time from admission for patients with an abnormal SIPA to normalize as well as patients with a normal admission SIPA to abnormal were analyzed. Results In patients with a normal SIPA at arrival, 18.4% of patients who developed an elevated SIPA at 12h after admission died, whereas 2.4% of patients who maintained a normal SIPA throughout the first 48h of admission died (p Conclusions Patients with a normal SIPA at time of arrival who then have an elevated SIPA in the first 24h of admission are at increased risk for morbidity and mortality compared to those whose SIPA remains normal throughout the first 48h of admission. Similarly, time to normalize an elevated admission SIPA appears to directly correlate with LOS, ICU LOS, and other markers of morbidity across a mixed blunt trauma population. Whether trending SIPA early in the hospital course serves only as a marker for injury severity or if it has utility as a resuscitation metric has not yet been determined. Type of study Prognostic. Level of evidence Level II.
Neural data science: accelerating the experiment-analysis-theory cycle in large-scale neuroscience.

Modern large-scale multineuronal recording methodologies, including multielectrode arrays, calcium imaging, and optogenetic techniques, produce single-neuron resolution data of a magnitude and precision that were the realm of science fiction twenty years ago. The major bottlenecks in systems and circuit neuroscience no longer lie in simply collecting data from large neural populations, but also in understanding this data: developing novel scientific questions, with corresponding analysis techniques and experimental designs to fully harness these new capabilities and meaningfully interrogate these questions. Advances in methods for signal processing, network analysis, dimensionality reduction, and optimal control — developed in lockstep with advances in experimental neurotechnology — promise major breakthroughs in multiple fundamental neuroscience problems. These trends are clear in a broad array of subfields of modern neuroscience; this review focuses on recent advances in methods for analyzing neural time-series data with single-neuronal precision.
Feedback of Atmosphere‐Ocean Coupling on Shifts of the Intertropical Convergence Zone

It is well known that the Intertropical Convergence Zone (ITCZ) shifts in response to remote perturbations in the atmospheric energy balance, with shifts roughly in proportion to changes in the cross-equatorial atmospheric energy flux. However, atmospheric and oceanic energy fluxes in low latitudes are mechanically coupled, and the oceanic energy flux dominates the atmospheric energy flux. Here a quantitative framework is derived that shows how Ekman coupling of atmospheric and oceanic energy fluxes damps the perturbation response of the atmospheric energy flux, energy flux equator (EFE), and ITCZ. To first order, Ekman coupling alone mutes the response of EFE and ITCZ in the coupled atmosphere-ocean system by a factor γ = 1+O_0/NEI_0, where O_0 is the ocean energy uptake and NEI0 is the net energy input into the atmosphere at the equator. In the current climate in the zonal and annual mean, this factor is about γ≈3.
A seed mismatch enhances Argonaute2-catalyzed cleavage and partially rescues severely impaired cleavage found in fish.

The RNAi pathway provides both innate immunity and efficient gene-knockdown tools in many eukaryotic species, but curiously not in zebrafish. We discovered that RNAi is less effective in zebrafish at least partly because Argonaute2-catalyzed mRNA slicing is impaired. This defect is due to two mutations that arose in an ancestor of most teleost fish, implying that most fish lack effective RNAi. Despite lacking efficient slicing activity, these fish have retained the ability to produce miR-451, a microRNA generated by a cleavage reaction analogous to slicing. This ability is due to a G-G mismatch within the fish miR-451 precursor, which substantially enhances its cleavage. An analogous G-G mismatch (or sometimes also a G-A mismatch) enhances target slicing, despite disrupting seed pairing important for target binding. These results provide a strategy for restoring RNAi to zebrafish and reveal unanticipated opposing effects of a seed mismatch with implications for mechanism and guide-RNA design.
Posner molecules: from atomic structure to nuclear spins

We investigate “Posner molecules”, calcium phosphate clusters with chemical formula Ca9(PO4)6. Originally identified in hydroxyapatite, Posner molecules have also been observed as free-floating molecules in vitro. The formation and aggregation of Posner molecules have important implications for bone growth, and may also play a role in other biological processes such as the modulation of calcium and phosphate ion concentrations within the mitochondrial matrix. In this work, we use a first-principles computational methodology to study the structure of Posner molecules, their vibrational spectra, their interactions with other cations, and the process of pairwise bonding. Additionally, we show that the Posner molecule provides an ideal environment for the six constituent 31P nuclear spins to obtain very long spin coherence times. In vitro, the spins could provide a platform for liquid-state nuclear magnetic resonance quantum computation. In vivo, the spins may have medical imaging applications. The spins have also been suggested as “neural qubits” in a proposed mechanism for quantum processing in the brain.
Potent and selective antitumor activity of a T cell-engaging bispecific antibody targeting a membrane-proximal epitope of ROR1

T cell-engaging bispecific antibodies (biAbs) present a promising strategy for cancer immunotherapy, and numerous bispecific formats have been developed for retargeting cytolytic T cells toward tumor cells. To explore the therapeutic utility of T cell-engaging biAbs targeting the receptor tyrosine kinase ROR1, which is expressed by tumor cells of various hematologic and solid malignancies, we used a bispecific ROR1 × CD3 scFv-Fc format based on a heterodimeric and aglycosylated Fc domain designed for extended circulatory t1/2 and diminished systemic T cell activation. A diverse panel of ROR1-targeting scFv derived from immune and naive rabbit antibody repertoires was compared in this bispecific format for target-dependent T cell recruitment and activation. An ROR1-targeting scFv with a membrane-proximal epitope, R11, revealed potent and selective antitumor activity in vitro, in vivo, and ex vivo and emerged as a prime candidate for further preclinical and clinical studies. To elucidate the precise location and engagement of this membrane-proximal epitope, which is conserved between human and mouse ROR1, the 3D structure of scFv R11 in complex with the kringle domain of ROR1 was determined by X-ray crystallography at 1.6-A resolution.
Fast readout algorithm for cylindrical beam position monitors providing good accuracy for particle bunches with large offsets.

A simple, analytically correct algorithm is developed for calculating “pencil” relativistic beam coordinates using the signals from an ideal cylindrical particle beam position monitor (BPM) with four pickup electrodes (PUEs) of infinitesimal widths. The algorithm is then applied to simulations of realistic BPMs with finite width PUEs. Surprisingly small deviations are found. Simple empirically determined correction terms reduce the deviations even further. The algorithm is then tested with simulations for non-relativistic beams. As an example of the data acquisition speed advantage, a Field Programmable Gate Array-based BPM readout implementation of the new algorithm has been developed and characterized. Finally, the algorithm is tested with BPM data from the Cornell Preinjector.