cssi/SciSciGPT-SciSciNet huggingface dataset:
The what, why, and how of spirituality in the workplace revisited: a 14-year update and extension

ABSTRACTOver the past two decades, conceptual and empirical research on the concept of workplace spirituality has increased and expanded significantly. An early and influential article by Krishnakumar and Neck (2002, Journal of Managerial Psychology 17 (3): 153–164) helped provide direction and structure to the nascent field of workplace spirituality by examining the “what” – the definitions and meanings of multiple views of workplace spirituality, the “why” – the potential benefits for organizations from encouraging such differing views of workplace spirituality among their members, and the “how” – the ways in which spirituality may be encouraged or implemented within organizations. The current paper provides a retrospective update and extension of the Krishnakumar and Neck (2002) “what, why, and how” framework and “spiritual freedom” model. More specifically, the paper reviews the development and expansion of the workplace spirituality literature over the past decade and a half and considers the potenti...
Actor-Partner Interdependence Model Analysis of Sexual Communication and Relationship/Family Planning Factors Among Immigrant Latino Couples in the United States.

ABSTRACTThe Latino population in the United States is quickly growing, and its unintended pregnancy rate is increasing. To decrease unintended pregnancies, couples must mutually agree on family planning. Communication between partners is one key factor identified in successful family planning for couples. Therefore, the purpose of this study was to examine sexual communication and its associations with sexual relationship power, general communication, and views on family planning. The Actor–Partner Interdependence Model was used to analyze dyadic influences of the chosen variables. Forty immigrant Latino couples were recruited from prenatal care clinics. The study results were grouped according to the three types of power structures: exhibition of men’s traditional machismo values, exhibition of women’s increased power in their relationships, and exhibition of men’s and women’s own empowerment with sexual communication. There was a negative association between men’s views on family planning and women’s se...
31. Intraoperative monitoring of motor cranial nerves and cranial nerve nuclei

Intraoperative neurophysiologic monitoring of cranial nerve function is primarily performed in those cranial nerves whose function has a motor component. The rationale, as well as the stimulation and recording techniques employed, is similar to that used in assessing the functional integrity of motor peripheral nerves. The primary difference is in the placement of the recording electrodes and the neural structures that are at risk for injury. In addition, cranial nerve dysfunction is not solely confined to a cranial nerve but can also involve the nucleus of the specific nerve. Thus, a special application of cranial nerve monitoring is the functional assessment and monitoring of cranial nerve nuclei. The goal of this presentation is to review the neurophysiologic techniques, consisting primarily of EMG, used to monitor motor cranial nerves and cranial nerve nuclei, and highlight this with case examples.
Responses and adaptations of citrus trees to environmental stresses

There is concern that world citriculture will be faced with apparent shifts in frequency and intensity of environmental stresses that threaten the economic vitality of citrus production. Problem areas continue to worsen in limited land and water resources, temperature extremes, soil and air pollution, and a changing global climate. Once highly productive citrus areas are experiencing major reevaluation in economic strategies, and competitive forces are at an all-time high between agricultural and nonagricultural interests. Science is slowly forthcoming in developing tolerance/avoidance mechanisms in drought, freeze, and salinity survival of citrus trees. However, such progress may be too late, in some instances, to withstand economic pressures imposed through devastating citrus losses caused by new challenges in environmental stress survival.
Preclinical Modeling in Lymphoid Malignancies

Non-Hodgkin’s lymphoma (NHL) is one of the most common cancers in the United States, accounting for about 4% of all cancers. In spite of aggressive chemotherapy and management, a majority of the patients relapse, making refractory NHL one of the dreaded nightmares for oncologists. Laboratory studies conducted on tumor cell lines, primary tumor cells isolated from cancer patients, and murine models contribute significantly to development of cancer therapeutics. The heterogeneity of the disease, limited availability of the biopsies, and variability of the disease in patients have necessitated the development of animal models to evaluate potential drug therapies. Moreover, the preclinical models also help us to understand the pathogenesis of the disease and the role of immune system in lymphoma. As we enter into an era of targeted therapeutics, these models provide new platforms for designing new anti-lymphoma drugs. In this chapter, we summarize the various tumor cell lines and murine models including tumor xenografts, syngeneic models, genetically engineered mice, and humanized mice used to study the initiation and growth of lymphoma, lymphoma microenvironment, and efficacy of new therapies. Later in the chapter, we also discuss the advantages and disadvantages of each model and explain how each of them aid in understanding of the pathogenesis of lymphoma and interactions between tumors and host environment.
Defibrillation Thresholds For Single And Successive Biphasic Shocks

To determine the effect of varying the separation between two successive biphasic shocks given over different lead configurations, defibrillation thresholds (DFTs) were obtained in six animals for separations ranging from 0.2 to 125 ms, and were compared with results from a previous study for each of the two biphasic shocks alone[l]. The optimal separation between two successive biphasic shocks is either short (510 ms) or long (between 75 and 125 ms) with improved defibrillation efficacy over either single shock by itself. There is a marked rise in the DFT at a delay of 50 ms, to a value much greater than a single shock alone.
‘Inverse Crime’ and Model Integrity in Lightcurve Inversion applied to unresolved Space Object Identification

This work presents a case wherein the selection of models when producing synthetic light curves affects the estimation of the size of unresolved space objects. Through this case, “inverse crime” (using the same model for the generation of synthetic data and data inversion), is illustrated. This is done by using two models to produce the synthetic light curve and later invert it. It is shown here that the choice of model indeed affects the estimation of the shape/size parameters. When a higher fidelity model (henceforth the one that results in the smallest error residuals after the crime is committed) is used to both create, and invert the light curve model the estimates of the shape/size parameters are significantly better than those obtained when a lower fidelity model (in comparison) is implemented for the estimation. It is therefore of utmost importance to consider the choice of models when producing synthetic data, which later will be inverted, as the results might be misleadingly optimistic.
Bee visitation rates to cultivated sunflowers increase with the amount and accessibility of nectar sugars

Pollinators make foraging decisions based on numerous floral traits, including nectar and pollen rewards, and associated visual and olfactory cues. For insect-pollinated crops, identifying and breeding for attractive floral traits may increase yields. In this study, we examined floral trait variation within cultivated sunflowers and its effects on bee foraging behaviours. Over 2 years, we planted different sunflower inbred lines, including male-fertile and male-sterile lines, and measured nectar volume, nectar sugar concentration and composition, and corolla length. During bloom, we recorded visits by both managed honey bees and wild bees. We then examined consistency in relative nectar production by comparing field results to those from a greenhouse experiment. Sunflower inbred lines varied significantly in all floral traits, including the amount and composition of nectar sugars, and in corolla length. Both wild bee and honey bee visits significantly increased with nectar sugar amount and decreased with corolla length, but appeared unaffected by nectar sugar composition. While wild bees made more visits to sunflowers providing pollen (male-fertile), honey bees preferred plants without pollen (male-sterile). Differences in nectar quantity among greenhouse-grown sunflower lines were similar to those measured in the field, and bumble bees preferentially visited lines with more nectar in greenhouse observations. Our results show that sunflowers with greater quantities of nectar sugar and shorter corollas receive greater pollination services from both managed and wild bees. Selecting for these traits could thus increase sunflower crop yields and provide greater floral resources for bees.
Power analysis and design at system level

Due to increasing use of portable systems, e.g., notebook computers, personal digital assistants (PDAs), and cellular phones, power is rapidly becoming as important a parameter as area and speed in the design of these systems [1]. At the system level, increasing complexity and higher density on boards result in previously unseen levels of power dissipation. At the IC level, larger die sizes and increasing device density along with higher clock frequencies lead to the undesirable effect of escalating power dissipation to levels that can no longer be ignored. In case of mobile CPUs, both the limitation of battery size as well as unavailability of special cooling mechanisms are two major constraints requiring power reduction. Desktops, on other hand, due to increased functionality, dissipate such levels of power that they need new thermal solutions. Hence, there is clearly a need for new technologies and system design techniques that would achieve ultra low power dissipation under performance and cost constraints.
Patent licensing for technology transfer: an integrated structural model for research

Patent licensing or technology licensing has been one of the leading means of international technology transfer for years. Although substantial studies on licensing issues have been conducted in a variety of facets, literature reviews reveal that there is a lack of research to examine the overall impact and the linkage of the issues on the subject. In this paper, the author develops and presents an integrated structural model to embrace most variables of patent licensing for technology transfer. The model consists of seven categorized specific characteristics to determine the effectiveness of patent licensing. The effective patent licensing, each specific characteristic and its variables are discussed in detail, and seven propositions are formed. The model implies that there are causal relationships existing between the variables and the effectiveness of licensing outcomes. Finally, the possible methodology for studying the model is discussed.
Detection of on-aircraft fatigue cracks in a UH-60A planet carrier using spectral averaging.

In this paper, a new method for planet carrier fatigue crack detection is presented. This method begins by time synchronously resampling vibration signals to segment the signals according to shaft crossing times, such that an even number of data points are obtained to compute a spectral average. Then, the result is used to extract features and evaluate numerous condition indicators (CIs) for planet carrier fatigue crack detection. The methodology is validated using data from a number of US Army UH-60A Black Hawk helicopter main transmissions. The results are presented using vibration measurements of faulted and unfaulted transmissions over low-torque levels in on-aircraft conditions
Antifascist Humanism and the Politics of Cultural Renewal in Germany

Antifascism is usually described as either a political ideology of activists and intellectuals confronting the dictatorships of Hitler and Mussolini, or as a cynical tool that justified the Stalinist expansion of communism in Europe. Andreas Agocs widens our understanding of antifascism by placing it in the context of twentieth-century movements of 'cultural renewal'. He explores the concept of 'antifascist humanism', the attempt by communist and liberal intellectuals and artists to heal the divisions of Nazism by reviving the 'other Germany' of classical Weimar. This project took intellectual shape in German exile communities in Europe and Latin America during World War II and found its institutional embodiment in the Cultural League for Democratic Renewal in Soviet-occupied Berlin in 1945. During the emerging Cold War, antifascist humanism's uneasy blend of twentieth-century mass politics and cultural nationalism became the focal point of new divisions in occupied Germany and the early German Democratic Republic. This study traces German traditions of cultural renewal from their beginnings in antifascist activism to their failure in the emerging Cold War.
Characterization of the P and G types and the VP4 and VP7 gene divergence among group A bovine rotaviruses

VI CHAPTER L GENERAL INTRODUCTION CHAPTER 2. LITERATURE REVIEW 6 CHAPTERS. BOVINE ROTAVIRUSES 26 CHAPTER 4. THE VP4 AND VP7 OF BOVINE ROTAVIRUS VMRI ARE ANTIGENICALLY AND GENETICALLY CLOSELY RELATED TO P-TYPE 5, G-TYPE 6 STRAINS 51 CHAPTER 5. RELATIVE FREQUENCY OF P AND G TYPES OF ROTAVIRUSES ASSOCIATED WITH CALF DIARRHEA AS DETERMINED BY NESTED REVERSE TRANSCRIPnON POLYMERASE CHAIN REACTION 78 CHAPTER 6. COMPARATIVE ANALYSIS OF THE VPS* SEQUENCES OF P[5] AND P[11] ROTAVIRUSES ISOLATED FROM CALVES WITH DIARRHEA 95 CHAPTER 7. SEQUENCE AND PHYLOGENETIC ANALYSIS OF THE VP7 GENE OF A BOVINE ROTAVIRUS WTTH G6 SUBTYPE 107 CHAPTERS. GENERAL CONCLUSIONS 112
Difficulty adaptation in a competitive arm rehabilitation game using real-time control of arm electromyogram and respiration

Rehabilitation robots are often combined with serious games that motivate patients and keep them exercising at high intensities. A promising type of game are competitive rehabilitation games, but few difficulty adaptation algorithms have been presented for them. This paper thus presents the adaptation of difficulty in a competitive arm rehabilitation game based on two physiological signals: respiration and electromyography of the posterior deltoid. It consists of three smaller studies: an open-loop respiration study, a closed-loop respiration study (where a controller attempts to maintain respiration rate at preset levels), and a closed-loop electromyogram study (where a controller attempts to keep the electromyogram at preset levels). The studies control two difficulty parameters based on the physiological responses of one of the two exercising participants, though the ultimate goal is to control the physiological responses of both participants. Furthermore, all three studies are done with unimpaired participants. The closed-loop controllers achieved high correlation coefficients between desired and measured levels of respiration rate (r = 0.83) and electromyogram (r = 0.89), demonstrating that it is possible to control the physiological responses of unimpaired participants in a competitive arm rehabilitation game, thus controlling their level of workload and exercise intensity. In the future, the proposed method will be tested with patients undergoing rehabilitation.
Goals of Therapy: Slowing Progression and Dyslipidemias

A 47-year-old man with type 2 diabetes mellitus with no evidence of retinopathy, hypertension, chronic kidney disease (CKD) stage 3, and congestive heart failure (CHF) presents for a follow-up visit at the clinic. Recently, he developed fatigue and shortness of breath with effort. He takes lisinopril 20 mg daily, metoprolol 50 mg twice a day, and a nightly subcutaneous shot of 30 U of insulin glargine. On physical examination, he is afebrile, heart rate is 83 bpm, and BP is 163/89 mmHg. His physical examination is normal other than a S4 and a displaced PMI. His serum creatinine is 1.8 mg/dl (6 months ago it was noted to be 1.5 mg/dl); a hemoglobin A1C is 8.8 %. The rest of his chemistries are within normal range. His hemoglobin is 8.9 g/dl. Both platelet and white cell counts are normal. His urinanalysis reveals 2+ protein with a urine protein:creatinine ratio of 1.8 g/g of creatinine. On ECG, voltage criteria for LVH are met. What are the risk factors for progression of CKD in this patient? How can these risk factors be controlled and what other agents may be added to his medication regimen? What is the optimal blood pressure goal?
The Ontogeny of the Forebrain

The emergence of the telencephalic vesicles allows us to distinguish the final two major forebrain regions, the telencephalon and the diencephalon, from one another (have a look back at Figs. 8.1 and 8.2). The telencephalic vesicles give rise to the two cerebral hemispheres while the diencephalon remains as the rostral end of the neural tube. In the diencephalon, the lumen of the neural tube forms the tall narrow slit of the third ventricle (see Fig. 9.3). The roof of the third ventricle remains as a thin choroid membrane, which eventually invaginates to form a modest choroid plexus. The sulcus limitans persists in both walls of the third ventricle, where it is called the hypothalamic sulcus and delimits the thalamus above from the hypothalamus below. The hypothalamus grows more modestly than the thalamus during development, and each differentiates into several nuclear groups. Neither, however, expands as exuberantly as the cerebral hemispheres. In fact, the hemispheres are by far the most productive parts of the developing CNS in terms of ultimate volume and morphological differentiation.
MEASURED RESPONSE: STATE VARIABLES FOR COMPOSITE MATERIALS

The present paper examines the concept of state variables for composite materials, and advances the premise that for irreversible processes in composite materials, the state variables are uniquely defined only for specific damage and failure modes, and that the popular “internal variables” typically used in the context of free energy concepts for the creation of constitutive equations can be replaced by a measurable engineering failure function. The paper will begin with a general discussion of the thermodynamic foundations that support the constructs of damage mechanics and continue with an outline of the manner in which strength can be cast as a state variable. Implications of the specific forms that result for evolution equations and rate processes will be discussed. Specific consequences for the case of temperature dependent material properties will be defined and compared to experimental data. The focus of the paper will be observables, i.e., physical quantities that are clearly defined and measurable.
Current overview and treatment of mantle cell lymphoma

Mantle cell lymphoma (MCL) is a B-cell non-Hodgkin lymphoma with historically poor long-term survival compared with other B-cell malignancies. Treatment strategies for this disease are variable and dependent on symptoms and patient fitness. Despite recent advances, MCL remains incurable and patients with high-risk disease have particularly poor outcomes. This review focuses on recent developments that enhance our understanding of the biology of MCL and new treatment approaches that have led to substantial improvements in clinical outcomes. We will outline induction immuno-chemotherapy and maintenance strategies in transplant-eligible patients. In addition, effective strategies for patients unfit for intensive induction will be discussed, with a particular focus on novel molecular therapies with activity in MCL. Lastly, a number of ongoing clinical trials will be presented; the data from these trials are anticipated to redefine standards of care in the near future.
The Ketogenic Diet Alters Endocrine Regulation of Energy Metabolism in Ultra-Endurance Athletes

PurposeThe ketogenic diet induces a profound shift in energy metabolism from carbohydrate oxidation towards fat oxidation, both at rest and during exercise. We compared endocrine regulators of ener...
Psychosocial Identity Development and Perception of Free Time among College-Attending Emerging Adults

Emerging adults who attend residential colleges experience large amounts of unsupervised and unstructured free time while continuing to develop identities surrounding life, work, and worldviews. Th...
Mitochondrial arginine kinase from the heart of the horseshoe crab,Limulus polyphemus

Mitochondria from the heart of the horseshoe crab,Limulus polyphemus, contained two distinct activities of arginine kinase (AK). Approximately 50% of AK activity consisted of a fast electrophoretic form (AKmf) which was easily extractable from mitochondria using hypo-tonic buffers. The remaining AK activity was represented by a slow electrophoretic form (AKms) which was tightly bound and could be solubilized only in the presence of non-ionic detergents. Both AKmf and AKms appear to exist in close proximity to the mitochondrial inter-membrane space. AKmf was identical to cytoplasmic AK (AKc) in terms of native electrophoretic mobility, subunit molecular weight, and cyanogen bromide peptide maps. In contrast, AKms had a slightly higher subunit molecular weight and showed some minor, but clear-cut, differences in cyanogen bromide peptide maps from AKmf and AKc. AKms may represent a similar AK form with a hydrophobic targeting sequence for insertion into the mitochondrion and anchoring in the inner membrane. Unlike vertebrate mitochondrial creatine kinase, which binds electrostatically to the mitochondrion, a significant portion of AK inL. polyphemus mitochondria binds via hydrophobic interactions which seems to be characteristic of mitochondrial activities of phosphagen kinases in other invertebrates.
Examining Coastal Dynamics and Archaeological Site Evidence at a Drowned Cirque Basin Influenced by Earthquakes and Little Ice Age Glaciation

ABSTRACT Maio, C.V.; Crowell, A.L.; Sullivan, R.M.; Buzard, R.M.; Whitley, M.A.; Bogardus, R.C., and de Wit, C.W., 2019. Examining coastal dynamics and archaeological site evidence at a drowned cir...
Single-Cell Omics for Drug Discovery and Development

Abstract There has been a rapid boost in the establishment of single-cell omics technologies, especially with the advent of lab-on-chip and microfluidic devices that have not only provided us with alternatives for more conventional and costly methods but have also served in developing new procedures for single-cell studies and their comparative analysis. These single-cell studies have hence opened new research dimensions in which cellular heterogeneity has become the central hallmark of research in single-cell omics procedures. With the emergence of cell-based tools for drug discovery and delivery, and with the advent of high-throughput drug screening platforms, it is now possible to explore new treatment options for diseases with complex biology. In particular, single-cell omics tools have unraveled the heterogeneity in cancer by exploring single-cell dynamics and are being used to hunt for more targeted therapeutic targets for drug discovery and development. This chapter focuses on a review of single-cell omics technologies and their application using microfluidic platforms to create a roadmap towards personalized medicine.
The Use of Deep Learning for Symbolic Integration: A Review of (Lample and Charton, 2019)

Lample and Charton (2019) describe a system that uses deep learning technology to compute symbolic, indefinite integrals, and to find symbolic solutions to first- and second-order ordinary differential equations, when the solutions are elementary functions. They found that, over a particular test set, the system could find solutions more successfully than sophisticated packages for symbolic mathematics such as Mathematica run with a long time-out. This is an impressive accomplishment, as far as it goes. However, the system can handle only a quite limited subset of the problems that Mathematica deals with, and the test set has significant built-in biases. Therefore the claim that this outperforms Mathematica on symbolic integration needs to be very much qualified.
Wave dynamics near Barataria Bay tidal inlets during spring–summer time

Abstract The wave characteristics and wave–current interaction in the six tidal inlets connecting the Barataria Basin and the northern Gulf of Mexico are investigated during spring–summer time period when both cold front passage and persistent southeast wind events exist. A fully-coupled unstructured-grid, three-dimensional, FVCOM-SWAVE model is employed and validated against observational data during April–June 2010. Model simulation results indicate that waves in the shelf side of the inlets are mainly wind seas and swells from the Gulf of Mexico that are modified by ocean currents in the Louisiana Bight. These currents include Mississippi River plume, buoyancy- and wind-driven alongshore current, as well as the tidal jet in the Barataria Pass. The bay side of the inlets, similar to the interior of the Barataria Basin, is dominated by locally generated waves. In the middle of the inlets, both wind seas and swells are presented at times, though different inlets behave differently in terms of contribution from each component. The contribution of local wind seas enhances during cold front passage. Contrastingly, the influence of swells from continental shelf is more pronounced during persistent southeast wind event. FVCOM-SWAVE predicts a decrease in significant wave height inside the Louisiana Bight due to current-induced refraction and wave stretching effect caused by clockwise gyre from Mississippi plume. The modulation of significant wave height at Barataria Pass due to partial wave blocking for the opposing current, and wave stretching for the following current can be up to 20%. The effect of depth-induced breaking and bottom friction overshadows the one from wave–current interaction at other shallower inlets.
A Qualitative Evaluation of Double Up Food Bucks Farmers’ Market Incentive Program Access

Abstract Objective Explore factors affecting access to and use of Double Up Food Bucks (DUFB), a farmers’ market program that doubles Supplemental Nutrition Assistance Program benefits for use toward the purchase of fruits and vegetables (FV). Design Focus groups. Setting Metro and nonmetro counties in Utah and western Upstate New York. Participants Nine groups composed of 62 low-income adults (3–9/group). Phenomena of Interest Satisfaction with, barriers to, and facilitators of program use; suggestions for improvement. Analysis Transcribed verbatim and coded thematically in NVivo 11 software according to template analysis. Results Program satisfaction was high and driven by FV affordability, perceived support of local farmers, positive market experiences, and high-quality FV. Primary barriers to using DUFB were lack of program information and inconvenient accessibility. Insufficient program communication was a consistent problem that elicited numerous suggestions regarding expansion of program marketing. Emergent topics included issues related to the token-based administration of DUFB and debate regarding stigma experienced during DUFB participation. Conclusions and Implications Results suggest that although DUFB elicits many points of satisfaction among users, program reach may be limited owing to insufficient program marketing. Even among satisfied users, discussion of barriers was extensive, indicating that program reach and impact may be bolstered by efforts to improve program accessibility.
Efficacy of Transcranial Direct Current Stimulation-Enhanced Mindfulness-Based Program for Chronic Pain: a Single-Blind Randomized Sham Controlled Pilot Study

Chronic pain impacts approximately 100 million adults in the USA. Mindfulness-based programs (MBPs) are effective behavioral treatments for chronic pain, yet the effects tend to be small. The current study was designed to assess whether transcranial direct current stimulation (tDCS) could enhance learning of mindfulness skills (primary outcome) in an MBP among adults with chronic pain. We also examined whether MBP + tDCS resulted in improvements in pain acceptance, pain coping, and physical health (secondary outcomes). A single blind randomized controlled trial was used to examine the effectiveness of active tDCS (2.0 mA)-enhanced MBP compared to sham tDCS (0.1 mA)-enhanced MBP for adults with chronic pain. Participants (N = 47) were diagnosed with chronic pain and were recruited from the community. Self-report measures of mindfulness, pain, and physical health were completed at baseline and end of treatment. Participants were randomized to active or sham tDCS of the right dorsolateral prefrontal cortex (dlPFC). Participants were blind to tDCS condition and all participants received a group MBP for eight bi-weekly, 2-hour sessions over 4 weeks. There were no main effects of active tDCS on primary or secondary outcomes. Those who received active tDCS as compared with sham tDCS and who attended more treatment sessions, reported significantly higher rates of mindfulness and greater overall physical health after participating in a group MBP. This study advances our knowledge of behavioral interventions for chronic pain by testing a novel combination intervention that may help those struggling with pain.
Field-deployable molecular diagnostic platform for arbovirus and Wolbachia detection in Aedes aegypti

Background: Surveillance of mosquito infection status is critical for planning and deployment of proper mosquito control initiatives. Concurrently, Wolbachia is being widely used as a control method for arboviral transmission. Point-of-care (POC) detection assays are necessary for monitoring the infection prevalence and geographic range of viruses as well as Wolbachia in mosquito vector populations. We therefore assessed the novel qPCR bCUBE molecular diagnostic system as a tool for virus and Wolbachia detection. Results: We developed a reliable, specific, and sensitive diagnostic assay for detecting Zika virus and dengue virus serotype 2 using the real-time qPCR platform bCUBE. With bCUBE-based qRT-PCR, both Wolbachia bacterium and virus RNA could be reliably detected in individually infected Ae. aegypti mosquitoes and in pools of 5, 10, or 15 mosquitoes. Conclusions: The portable qPCR bCUBE diagnostic platform is capable of detecting Zika and dengue virus as well as Wolbachia in mosquitoes and therefore has potential as a practical field-deployable diagnostic test for vector-borne disease surveillance programs.
Career and professional development services for pharmacy students.

Abstract Introduction As the number of pharmacy programs and graduates continue to rise, pharmacy students are being faced with new challenges in seeking post-graduate positions. A Career Connections program was established as part of the student affairs office to develop, implement, and evaluate career and professional development at the University of Michigan College of Pharmacy. The objective of this paper was to evaluate student perceptions and value of career and professional development services in preparing students for competitive job and residency markets. Methods An electronic survey was administered to second-, third-, and fourth-professional year students and 2017 graduates to evaluate all facets of career and professional development services offered by the college of pharmacy. Results The majority of students (76.8%) were satisfied with their access to career development services. Of all the services and events evaluated, students were most satisfied with the internship panel, fourth-year residency seminars, and third-year professional development elective course. Additional services recommended by students included more networking opportunities with alumni, continued exposure to different careers in pharmacy, and more emphasis on the job searching process. Conclusions Career development services were generally perceived favorably. The college has implemented several changes based on feedback from students, including splitting students into career-based tracks in the professional development elective and adding additional job-searching seminars. Future initiatives will include increasing outreach to college alumni. Career and professional development services at pharmacy programs should be continuously evaluated in a rapidly changing post-graduate landscape.
Parent-Child Conflict Profiles in Chinese American Immigrant Families: Links to Sociocultural Factors and School-Age Children's Psychological Adjustment.

Research suggests that parent-child conflict is a salient family process in Asian immigrant families and often a stressful experience for Asian American youth due to value discrepancies between Asian and Western cultures. The present study examined ratings of parent-child conflict across conflict topics from parents' and children's perspectives in a sample of Chinese American immigrant families with school-age children (N = 239; age = 7.5-11 years). Latent profile analyses identified three parent-rated conflict profiles and four child-rated conflict profiles. Parent and child conflict profiles were unrelated to each other and differentially related to family sociocultural factors and children's psychological adjustment. Parents' moderate conflict profile scored highest on parent-rated child behavior problems and had the highest household density and lower parent Chinese orientation. Children's moderate-specific and high conflict profiles scored higher on child-reported behavior problems than the low conflict profile. These results highlight the need to assess family conflict from both parents' and children's perspectives and target parent-child conflict communication as a pathway to prevent or reduce behavioral problems in Chinese American children of immigrant families.
Hands-On Learning in Computer Organization with a MIPS Microcontroller*: Using the ChipKIT Computer in the Classroom

The MIPS assembly language is a popular choice for teaching assembly programming in Computer Organization courses. While there are emulator programs available for programming and running MIPS assembly language programs, they do not provide the programmer an opportunity to interact with actual computer hardware. In our Computer Organization course, we have used a chipKIT uC32 hobbyist computer to encourage hands-on, active learning in many aspects of our course. The chipKIT features a Microchip PIC32 microcontroller with a MIPS core. It can be programmed in C/C++ or assembly on the Arduino IDE using a Microchip MIPS toolchain. Our students work collaboratively in pairs on programs related to the current course topics. With the chipKIT students can write code to interact with a variety of input/output controllers and devices, program in assembly, learn bit twiddling techniques, explore input with polling techniques and vectored and priority interrupts, and learn firsthand how their programs interact with the hardware components of the computer. This poster introduces the chipKIT platform and some of the resources available for use with the chipKIT. It outlines the application of the chipKIT to our Computer Organization course and presents some plans for evaluating the usefulness and effectiveness of the chipKIT in the course.
Predictors of campus sexual violence perpetration: A systematic review of research, sampling, and study design.

Abstract Understanding the research on predictors of campus sexual violence perpetration is critical for primary prevention efforts directed at preventing perpetrators from offending. This study systematically reviewed 28 research articles to understand common predictors of campus sexual violence perpetration as well as the research and study design of these articles. Personality factors, attitudes, and negative life experiences were the most investigated predictors of campus perpetration, while other factors, such as sexual behavior and past perpetration, received less empirical attention. Most of the studies in this review used cross-sectional, observational data with participants at large, public universities. The samples were largely White, undergraduate students. These findings indicate that more research is needed to understand predictors of campus sexual violence perpetration with increased attention to understudied risk factors. Future research should be conducted at more diverse institutions with more diverse samples.
Non-oncogene Addiction to SIRT5 in Acute Myeloid Leukemia

In this issue of Blood Cancer Discovery, Yan and colleagues discovered that mitochondrial deacylase, SIRT5, is required in AML cells to support mitochondrial oxidative phosphorylation, maintain redox homeostasis, and drive glutaminolysis. The new SIRT5 inhibitor, NRD167, can efficiently target SIRT5 in AMLs at micromolar range and may constitute a novel therapeutic approach to improve clinical outcomes of patients with AML. See related article by Yan et al., p. 266.
Realigning Expectations With Reality: A Case Study on Maternal Mental Health During a Difficult Breastfeeding Journey.

Introduction:Many mothers have the goal to breastfeed. However, more than 50% will have breastfeeding difficulty by the 3rd day of life. Mothers who are unable to meet their breastfeeding goals are...
Foreign Aid and Civil Conflict

We focus on the effect of foreign aid on civil conflict because this is a well-trodden path in the conflict literature. We find that net secondary income increases conflict risk only for a specific range for that variable. Our finding suggests that there should be greater theoretical scrutiny for why only a small range of values for net secondary income increases the risk of conflict. We believe a game-theoretic approach models the interaction between donors and recipients to identify such equilibrium switches. Moreover, the sort of aid reflected in the current account may matter more than a broader definition of aid. Last we suggest that neither military aid nor foreign direct investment appears to have a causal impact on civil conflict, with important implications for policy.
Pantothenic Acid: an Organ-Specific Pro-Oxidant Vitamin¶

Pantothenic acid (PA) is an essential vitamin (vit B5) involved in numerous catabolic and synthetic cellular reactions1. This vitamin is a precursor of coenzyme A (CoA) which is required for the initial activation of free fatty acids to fatty acyl-CoA thioesters prior to their oxidation or esterification to complex lipids2,3.PA is also a structural element of acyl carrier protein which is an essential component of the fatty acid synthetase
Bottled Water, Microbiology of

Why Do People Drink Bottled Water? Where Does Bottled Water Come from? Regulation of Bottled Water Growth Media for Bacteria in Bottled Water Types of Bacteria Normally Found in Source Waters Treatment of Water Nomenclature of Waters Bacteria in the Finished Product Plastic and Glass Containers Shelf Storage Pseudomonads in Bottled Water Antibiotic Resistance of Pseudomonads Carbonated and Noncarbonated Water Artificial Inoculation of Waters with Bacteria Aeromonas sp. Viability of Bacteria Without Multiplication Isolation of Amoebae from Mineral Waters Fluoride in Bottled Water Bottled Water Dispensers Use of Bottled Water for Cleaning Contact Lenses Endotoxin in Bottled Water New Techniques in Bottled Water Microbiology Keywords: bottled water; endotoxins in bottled water; regulation of bottled water; shelf storage of bottled water; viable but not culturable (VBNC)
Racial Reparations: Japanese American Redress and African American Claims

In 1991 the United States Office of Redress Administration presented the first $20,000 reparations check to the oldest Hawai'i survivor of the Japanese American internment camps. I attended the stately ceremony. The mood, while serious, was decidedly upbeat. Tears of relief mixed with sighs ofjoy. Freed at last. Amidst the celebration I reflected on the Japanese American redress process and wondered about its impacts over time. The process had .been arduous, with twists and turns. Many Japanese Americans contributed,' and their communities overwhelmingly considered reparations a great victory, as did I. Other racial groups lent support, often in the form of political endorsements. Support also came as ringing oratory-for instance, the moving speech on the floor of the House of Representatives by African American Congressperson Ron Dellums.2 Yet some of the support seemed begrudging. One African American scholar observed,
Artificial intelligence and human brain imaging

For many years AI researchers have sought to understand the nature of intelligence primarily by creating artificially intelligent computer systems. Studies of human intelligence have had less influence on AI, partly because of the great difficulty in directly observing human brain activity. In recent years, new methods for observing brain activity have become available, notably functional Magnetic Resonance Imaging (fMRI) which allows us to safely, non-invasively capture images of activity across the brain once per second, at millimeter spatial resolution. The advent of fMRI has already produced dramatic new insights into human brain activity, and how it varies with cognitive task. This breakthrough in instrumentation (and others as well) shifts the balance of utility between building artificial intelligent systems and studying natural intelligence. As a result, we should expect a growing synergy in the future between studies of artificial and natural intelligence. One intriguing open question regarding fMRI is whether it is possible to decode instantaneous cognitive states of human subjects based on their observed fMRI activity. If this were feasible, it would open the possibility of directly observing the sequence of hidden cognitive states a person passes through while performing cognitive tasks such as language comprehension, problem solving, etc. We present initial results showing that it is indeed possible to distinguish among a variety of cognitive states of human subjects based on their observed fMRI data. In particular, we have developed machine learning algorithms that can be trained to discriminate among a variety of cognitive states based on the observed fMRI data of the subject at a particular time or time interval. These machine learning algorithms, including Bayesian classifiers, support vector machines, logistic regression, and other methods, use the training data to discover the spatial-temporal patterns of fMRI activity associated with different cognitive states. They can then classify new fMRI observations to distinguish among these states. This talk will describe results in which our machine learning methods were able to successfully discriminate between states such as "the subject is reading a sentence" versus "the subject is viewing a picture"; "the sentence is ambiguous" versus "the sentence is unambiguous"; and "the word is a noun" versus "the word is a verb." These classifiers are typically trained separately for each human subject, but in one case we were able to train a classifier that applies to new human subjects outside the training set. We will describe these results, the machine learning methods used to achieve them, and a number of directions for future research.
Pain referents used to respond to the Pain Catastrophizing Scale

Background Pain catastrophizing has emerged as a highly important construct in pain research. The Pain Catastrophizing Scale (PCS) is a widely used self-report measure used to determine a person's level of pain catastrophizing, assumed to be associated with an ongoing, recalled or anticipated pain experience. In practice, instructions for self-reporting catastrophizing typically do not provide a specific pain referent, even when assessing patients with chronic pain. Researchers have noted that it is not known what type of pain participants are referring to when responding to a catastrophizing questionnaire. Method In the current study, 182 presumably healthy undergraduate students completed the PCS followed by a query regarding the pain referent used to complete the scale. In addition, they were asked if they have ever experienced chronic pain and to list their worst pain experience. Results The most commonly used primary referents included pain due to acute injury (26.4%), headache (18.0%) and general physical pain (11.5%). The type of primary referent and the number of referents did not influence the catastrophizing scores. However, the catastrophizing scores were influenced by the context of the primary pain referent, i.e., whether the primary pain referent was non-chronic worst pain, both chronic and worst pain, chronic pain or unrelated to either chronic or worst pain. Notably, a larger than expected proportion of participants reported having experienced chronic pain (44.5%; n = 81). Conclusion The examination of pain referents while responding to a catastrophizing measure would add to our understanding of a person's pain experience and related catastrophic cognitions.
GMRES, L-Curves, and Discrete Ill-Posed Problems

The GMRES method is a popular iterative method for the solution of large linear systems of equations with a nonsymmetric nonsingular matrix. This paper discusses application of the GMRES method to the solution of large linear systems of equations that arise from the discretization of linear ill-posed problems. These linear systems are severely ill-conditioned and are referred to as discrete ill-posed problems. We are concerned with the situation when the right-hand side vector is contaminated by measurement errors, and we discuss how a meaningful approximate solution of the discrete ill-posed problem can be determined by early termination of the iterations with the GMRES method. We propose a termination criterion based on the condition number of the projected matrices defined by the GMRES method. Under certain conditions on the linear system, the termination index corresponds to the “vertex” of an L-shaped curve.
The Hamiltonian Seifert Conjecture: Examples and Open Problems

Hamiltonian dynamical systems tend to have infinitely many periodic orbits. For example,for a broad class of symplectic manifolds almost all levels of a proper smooth Hamiltonian carry periodic orbits. The Hamiltonian Seifert conjecture is the existence problem for regular compact energy levels without periodic orbits.
Crime data mining: an overview and case studies

The concern about national security has increased significantly since the 9/11 attacks. However, information overload hinders the effective analysis of criminal and terrorist activities. Data mining applied in the context of law enforcement and intelligence analysis holds the promise of alleviating such problems. In this paper, we review crime data mining techniques and present four case studies done in our ongoing COPLINK project.