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The making of scientific butter: injecting scientific reasoning into agriculture.

Both Danish and English agriculture underwent fundamental restructuring during the second half of the 19th century, and in both cases the dairy sector made great advances. However, the two agricultural industries differed in aims and strategies, and crucially in the extent to which new technologies and scientific methods were implemented. Economic historical analysis is insufficient to explain why the Danish and English dairy industries developed in different ways, and how Danish butter achieved success in the competitive English market. However, with a focus on the role of science and a scientific understanding of the development of these two dairy industries, all becomes clear.

Animals↗

Chemically resolved imaging of biological cells and thin films by infrared scanning near-field optical microscopy.

The infrared (IR) absorption of a biological system can potentially report on fundamentally important microchemical properties. For example, molecular IR profiles are known to change during increases in metabolic flux, protein phosphorylation, or proteolytic cleavage. However, practical implementation of intracellular IR imaging has been problematic because the diffraction limit of conventional infrared microscopy results in low spatial resolution. We have overcome this limitation by using an IR spectroscopic version of scanning near-field optical microscopy (SNOM), in conjunction with a tunable free-electron laser source. The results presented here clearly reveal different chemical constituents in thin films and biological cells. The space distribution of specific chemical species was obtained by taking SNOM images at IR wavelengths (lambda) corresponding to stretch absorption bands of common biochemical bonds, such as the amide bond. In our SNOM implementation, this chemical sensitivity is combined with a lateral resolution of 0.1 micro m ( approximately lambda/70), well below the diffraction limit of standard infrared microscopy. The potential applications of this approach touch virtually every aspect of the life sciences and medical research, as well as problems in materials science, chemistry, physics, and environmental research.

Animals↗

Global information network on chemicals (GINC) and its Asian component.

The Global Information Network on Chemicals (GINC) is an effort to build a global information network that links international, national, and other organizations working for the safe management of chemicals in order to exchange information and improve communications. The project was originally proposed in 1993 by one of the authors then at the National Institute of Health Sciences (NIHS) of Japan to the International Program on Chemical Safety (IPCS), which is a joint project of World Health Organization (WHO), International Labor Organization (ILO), and United Nations Environment Program (UNEP). The base support system was first implemented at NIHS using the Internet/World Wide Web (WWW) technology in 1995. The project was then endorsed by the Intergovernmental Forum on Chemical Safety (IFCS) and was adopted by the Inter-Organization Program for the Sound Management of Chemicals (IOMC). However, the base system (http://www.nihs.go.jp/GINC/index.html) has been developed and maintained solely by the NIHS group under the support of the Ministry of Health and Welfare (MHW), Japan. Asia, particularly East Asia and the Pacific region, was chosen as the feasibility study region for this project. During the period from December 1994 to July 2002, NIHS hosted eight meetings on this project held in Tokyo.

Asia↗

Using a descriptive model of change when implementing large scale clinical information systems to identify priorities for further research.

In this paper we identify domains for research based on a model that describes the stages of change when designing and implementing large scale information and communication technology throughout a healthcare organization. We use the model in the case of the electronic patient record systems. We suggest that the research agenda should include approaches from the social and business sciences.

Humans↗

Laurence Irving: an appreciation.

Laurence Irving (1895-1979) contributed significantly over five decades to the development of environmentally oriented physiological studies. He is best known for his investigations of the physiology of diving mammals, the respiratory properties of fish blood, and cold adaptation and acclimatization in poikilotherms and homeotherms, including man. Beyond his own research contributions, Irving benefited American comparative physiology through his key roles in the immigration of Per F. Scholander and Knut and Bodil Schmidt-Nielsen to the United States. The Irving-Scholander research collaboration provides a substantial legacy for comparative physiology. Laurence Irving's administrative contributions include service as the first scientific director of the Arctic Research Laboratory at Barrow, Alaska, and as the founding director of the Institute of Arctic Biology at the University of Alaska, Fairbanks. These units have assured the implementation of his philosophy of combining laboratory and field studies in the investigation of environmentally oriented physiological problems. Laurence Irving was an ardent advocate for Alaskan research, and his efforts were an important help in the advancement of science in the state.

Animals↗

Automatic analysis of agarose gel images.

MOTIVATION: Automatic tools to speed up routine biological processes are very much sought after in bio-medical research. Much repetitive work in molecular biology, such as allele calling in genetic analysis, can be made semi-automatic or task specific automatic by using existing techniques from computer science and signal processing. Computerized analysis is reproducible and avoids various forms of human error. Semi-automatic techniques with an interactive check on the results speed up the analysis and reduce the error. RESULTS: We have successfully implemented an image processing software package to automatically analyze agarose gel images of polymorphic DNA markers. We have obtained up to 90% accuracy for the classification of alleles in good quality images and up to 70% accuracy in average quality images. These results are obtained within a few seconds. Even after subsequent interactive checking to increase the accuracy of allele classification to 100%, the overall speed with which the data can be processed is greatly increased, compared to manual allele classification. AVAILABILITY: The IDL source code of the software is available on request from jonathan.flint@well.ox.ac.uk

Animals↗

GLAD: a system for developing and deploying large-scale bioinformatics grid.

MOTIVATION: Grid computing is used to solve large-scale bioinformatics problems with gigabytes database by distributing the computation across multiple platforms. Until now in developing bioinformatics grid applications, it is extremely tedious to design and implement the component algorithms and parallelization techniques for different classes of problems, and to access remotely located sequence database files of varying formats across the grid. In this study, we propose a grid programming toolkit, GLAD (Grid Life sciences Applications Developer), which facilitates the development and deployment of bioinformatics applications on a grid. RESULTS: GLAD has been developed using ALiCE (Adaptive scaLable Internet-based Computing Engine), a Java-based grid middleware, which exploits the task-based parallelism. Two bioinformatics benchmark applications, such as distributed sequence comparison and distributed progressive multiple sequence alignment, have been developed using GLAD.

Computational Biology↗

Financial analysis projects clear returns from electronic medical records.

Implementing an electronic medical record (EMR) is a major initiative that should be undertaken only after a thoughtful analysis of the costs and benefits involved. Unfortunately, demonstrating financial returns on an EMR often is regarded as an inexact science at best, which has caused many healthcare executives to avoid adopting this technology. With the right approach, however, it is possible to demonstrate convincingly that the financial benefits will far outweigh the costs. To do this, it is necessary to involve representatives from operational areas throughout the organization, because they are best able to identify the potential for cost savings and additional revenue opportunities.

Cost Savings↗

Report of the Psychosocial Outcomes Workgroup of the Nursing and Social Sciences Council of the International Society for Heart and Lung Transplantation: present status of research on psychosocial outcomes in cardiothoracic transplantation: review and recommendations for the field.

Cardiothoracic transplantation's success at prolonging life--and its economic costs--must be considered relative to its psychosocial benefits and costs. Moreover, psychosocial outcomes themselves influence long-term post-transplant morbidity and mortality rates. Although psychosocial outcomes--encompassing patients' physical, psychologic and social functioning, their management of their medical regimen and global quality of life--are the focus of many recent studies, these investigations have yet to yield many evidence-based interventions that are routinely applied to improve patient outcomes. Our goals were to summarize existing work on psychosocial outcomes, delineate areas requiring attention, offer recommendations for steps to advance the field, and thereby provide an impetus for the conduct of clinical trials of interventions to improve these outcomes. We concluded that research must generally shift away from descriptive studies and toward prospective and clinical trial designs to: (a) examine a full range of risk factors and clinical sequelae of patients' psychosocial status; and (b) evaluate the effectiveness of psychosocial interventions. In addition, these issues must be considered across all cardiothoracic recipients, including not only heart recipients but the less-studied populations of lung and heart-lung recipients, and must include longer-term (5+ years) outcomes than is typical in most work. The importance of adequately sized samples to ensure statistical power, and the need to construct study samples representative of the larger cardiothoracic transplant population, cannot be overestimated. Implementing these changes in research design and substantive focus will ensure that psychosocial outcomes research will have maximum impact on transplant recipients' clinical care.

Clinical Nursing Research↗

Implementing a performance evaluation system in a correctional managed care pharmacy.

The development and implementation of a departmental performance evaluation system for a correctional managed care pharmacy are described. Health care services for approximately 150,000 offenders within the Texas Department of Criminal Justice are provided through an arrangement with two university systems, the University of Texas Medical Branch (UTMB) and Texas Tech University Health Sciences Center. UTMB provides all distributive pharmacy services through a central pharmacy located in Huntsville, Texas. The pharmacy department distributes 9,000-15,000 medication orders daily to over 140 facilities. Each department within UTMB Correctional Managed Care is evaluated against predetermined quality indicators. This evaluation system is collectively called the operational performance evaluation system (OPES) and is used, in part, to determine pay-for-performance eligibility. Before fiscal year 2001, pharmacy distributive services were provided under a third university system. Joining the UTMB system required the pharmacy department to not only participate in OPES but to develop quality indicators and measurement systems to evaluate departmental performance. Indicators were chosen to reflect a commitment to quality while assuring appropriate productivity in the provision of pharmaceutical care. Seven pharmaceutical care quality indicators were chosen and weighted by perceived importance. A system for data collection, measurement, and reporting was also developed. Implementation of a departmental performance evaluation system provides a means to measure service quality, identify areas of weakness, track performance over time, and lower costs. By setting concrete goals, this system raises awareness and promotes interdependence among department personnel.

Community Pharmacy Services↗

Drugs and driving: when science and policy don't mix.

This commentary briefly looks at the Canadian federal government's proposed legislation to strengthen the enforcement of drug-impaired driving, placing special emphasis on cannabis. After outlining the legislation, three issues are examined. Of primary concern is at what level cannabis use impairs driving ability leading to an increased risk of motor vehicle collision. Current epidemiological evidence is reviewed. Equally important is the government's emphasis on the training and implementation of Drug Recognition Experts (DREs), specially trained police officers whose role is to detect drivers under the influence of drugs. Research on the effectiveness of DREs is discussed, along with a dialogue regarding the potential shortcomings of the DRE program. Finally, a brief surveillance of international policy literature on drugs and driving is offered, along with some sober thoughts on the potential difficulties that may emerge in the enforcement of the proposed legislation.

Automobile Driving↗

Improving efficiency of a small forensic DNA laboratory: validation of robotic assays and evaluation of microcapillary array device.

AIM: To present validation studies performed for the implementation of existing and new technologies to increase the efficiency in the forensic DNA Section of the Palm Beach County Sheriff's Office (PBSO) Crime Laboratory. METHODS: Using federally funded grants, internal support, and an external Process Mapping Team, the PBSO collaborated with forensic vendors, universities, and other forensic laboratories to enhance DNA testing procedures, including validation of the DNA IQ magnetic bead extraction system, robotic DNA extraction using the BioMek2000, the ABI7000 Sequence Detection System, and is currently evaluating a micro Capillary Array Electrophoresis device. RESULTS: The PBSO successfully validated and implemented both manual and automated Promega DNA IQ magnetic bead extractions system, which have increased DNA profile results from samples with low DNA template concentrations. The Beckman BioMek2000 DNA robotic workstation has been validated for blood, tissue, bone, hair, epithelial cells (touch evidence), and mixed stains such as semen. There has been a dramatic increase in the number of samples tested per case since implementation of the robotic extraction protocols. The validation of the ABI7000 real-time quantitative polymerase chain reaction (qPCR) technology and the single multiplex short tandem repeat (STR) PowerPlex16 BIO amplification system has provided both a time and a financial benefit. In addition, the qPCR system allows more accurate DNA concentration data and the PowerPlex 16 BIO multiplex generates DNA profiles data in half the time when compared to PowerPlex1.1 and PowerPlex2.1 STR systems. The PBSO's future efficiency requirements are being addressed through collaboration with the University of California at Berkeley and the Virginia Division of Forensic Science to validate microcapillary array electrophoresis instrumentation. Initial data demonstrated the electrophoresis of 96 samples in less than twenty minutes. CONCLUSION: The PBSO demonstrated, through the validation of more efficient extraction and quantification technology, an increase in the number of evidence samples tested using robotic/DNA IQ magnetic bead DNA extraction, a decrease in the number of negative samples amplified due to qPCR and implementation of a single multiplex amplification system. In addition, initial studies show the microcapillary array electrophoresis device (microCAE) evaluation results provide greater sensitivity and faster STR analysis output than current platforms.

California↗

Evidence into practice: combining the art and science of injury prevention.

OBJECTIVES: To bring together scientific evidence of what works in injury prevention with the knowledge and experience of practitioners, using a case study of smoke alarm installation from England. DESIGN: There is good evidence of strategies to reduce injuries but less is known about the art of translating those strategies to implementation in real-world settings. England's Health Development Agency developed a structured process applicable to many public health fields, which integrates practitioner knowledge into the evidence base and reflects local contexts. The multistep process includes convening structured field meetings with local practitioners and policy makers, which focus on a mapping exercise of strategies, policies, targets, and funding streams related to childhood injury prevention, and barriers and facilitators relating to implementation of specific interventions. SETTING: Meetings were held in six venues across England with 98 participants from a range of professional backgrounds and sectors. RESULTS: The collective knowledge of participants provided many local insights unlikely to emerge in conventional research. Discussion topics covered key partners and sectors to include when planning a program; national policies and programs that could be used to drive the agenda; potential sources of funding; the importance of providing and installing appropriate smoke alarms; targeting of programs; and suggestions for gaining access to hard-to-reach populations. CONCLUSION: This methodology represents an efficient way of gaining insight necessary for successful implementation of evidence based programs. It may be particularly useful in lower and middle income countries, serving to translate evidence into the local contexts and circumstances within which practitioners operate.

Accident Prevention↗

Educators' responsibilities in implementing the ADA.

The Americans with Disabilities Act (ADA) prohibits educational programs from discriminating against academically qualified applicants with disabilities and requires each academic program to develop a list of essential requirements for the program. This article describes how the ADA affects educational programs. It also presents a sample list of essential requirements for radiologic science education programs that supports ADA requirements. Documenting the essential requirements is in the best interests of the program and its students, providing a defensible basis for student admissions and the measurement of academic progress.

Persons with Disabilities↗

Developing, implementing, and evaluating decision support systems for shared decision making in patient care: a conceptual model and case illustration.

The importance of including patient preferences in decisions regarding their care has received increased emphasis over recent years. Medical informatics can play an important role in improving patient-centered care by developing decision support systems to support the inclusion of patient preferences in clinical decision making. However, development of such systems is a complex task that requires the integration of knowledge from four major research areas: (1) the clinical domain, for understanding of the decision problem, (2) decision science and research on shared decision making, to provide the theoretical underpinnings and techniques for eliciting patient preferences; (3) medical informatics, to provide the technology and algorithms for the collection, processing, structure, presentation and integration of patient preferences into patient care; and (4) organizational knowledge, to adapt the decision support system to the practices and work flows of clinicians and the organizational and professional context of the clinical practice settings. This paper describes a conceptual model comprising eight key components that are important to be considered in the development, implementation, and evaluation of decision support systems for shared decision making in patient care. The example of CHOICE, a decision support system to assist nurses in eliciting and integrating rehabilitation patients' preferences for functional performance in patient care is used to illustrate the eight components.

Choice Behavior↗

[Patient education in rheumatology-an overview].

Patients with rheumatic diseases need a comprehensive and interdisciplinary treatment. In this context patient education takes the part to lead patients to a better self-management. The goals of patient education are the increase of knowledge and introspection, the positive influencing of attitudes and self-efficacy and in addition the improvement of disease or health behavior. It is well known that the necessary change of behavior is hard and depends on various conditions. The study group "patient education" of the German Society of Rheumatology had developed several education programs, the methods and topics of which are based on behavioral science. These programs are topic centered and close to patients' needs. Their efficacy has been proved on different levels, economic advantages have been shown. At present these programs are mostly used for inpatients. Since there is no payment to implement these programs for outpatients, alternative ways are necessary.

Germany↗

DeepMASS v.2: An enhanced deep learning platform for large-scale discovery and structural annotation of unknown plant metabolites.

Determining the structures of unknown metabolites remains a fundamental bottleneck in plant metabolomics, as the vast chemical diversity of plant secondary metabolites far exceeds the coverage of existing spectral libraries. Here, we present DeepMASS v.2, a substantially enhanced platform for annotating unknown metabolites from liquid chromatography-tandem mass spectrometry data, designed to address this challenge at scale. DeepMASS v.2 leverages a semantic spectral representation model trained on millions of spectra from GNPS, NIST, and in-house resources. By integrating Spec2Vec-based embeddings with HNSW (hierarchical navigable small world) graph retrieval and a unified chemical space defined by molecular fingerprints, DeepMASS v.2 identifies structurally related neighbors of unknown spectra and ranks candidate structures according to their proximity to the predicted structural neighborhoods within chemical space. Benchmarking against Critical Assessment of Small Molecule Identification datasets and a curated natural product collection demonstrated that DeepMASS v.2 outperforms state-of-the-art in silico annotation tools, including SIRIUS, CFM-ID, MetFrag, and MS-Finder. Importantly, DeepMASS v.2 maintains strong performance for metabolites absent from spectral libraries, highlighting its capacity to annotate genuinely unknown compounds. Application of DeepMASS v.2 to large-scale plant metabolomics datasets demonstrated its ability to expand accessible metabolome coverage. Implemented as an intuitive web platform, DeepMASS v.2 provides the community with a scalable, interpretable, and high-throughput solution for structural annotation, enabling more comprehensive characterization of plant chemical diversity and accelerating natural product discovery in molecular plant science. The DeepMASS v.2 web server is publicly available at http://deepmass.cn.

Metabolomics↗

Using disease-state management as the key to promoting employer sponsorship of medical nutrition therapy (continuing education credit).

The purpose of this project was to design, implement, and improve a nationwide medical nutrition therapy (MNT) intervention program for nutritionally at-risk employees and their dependents and retirees (hereinafter referred to as clients) with a Fortune 100 company (Texas Instruments, Dallas, Tex) with a dispersed population of 80,000. Preferred Nutrition Therapists (PNT), a network of registered dietitians, with the assistance of the Texas Instruments Health Promotion and Benefits Department, identified International Classification of Diseases, 9th ed (ICD-9), codes for which MNT intervention was appropriate. PNT then negotiated a contract with the Texas Instruments Health Promotion and Benefits Department and implemented clients' self-referral process. The main challenge was to promote utilization of a new service from an outside vendor (PNT) and to measure outcomes in meaningful ways. The goal was to use MNT as a tool to prevent the progression of clients' diseases to states that require more costly treatments. PNT used a continuous quality improvement process to refine the system and improve information gathering and reporting, by providing quarterly reports to the Health Promotion and Benefits Department. These reports summarized the outcomes for all clients seen at least 3 times during the quarter. The cost was less than $0.35 per member per month (less than the employer spent on advertising the program), and 0.5% of the population requested MNT during the first year of implementation (about what was expected for a new carveout benefit).

Aged↗