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In the 1960s thalidomide, a popular new drug considered to be safe and effective, was revealed to cause severe nerve damage and birth defects in newborn infants, prompting health officials to ban the use of the drug and tighten overall restrictions on new drugs and drug use. Twenty years later, after recognizing the positive effects of thalidomide when treating patients with leprosy and its potential role in the treatment of certain types of cancer and cases of HIV/AIDS, the Celgene corporation would be forced to contend with stringent FDA regulations, liability concerns, public skepticism, and poor mass media portrayal in order to secure the drug's approval.

To illustrate how regulators are subject to political pressure, which companies much recognize and consider when making business decisions.

This study contributes to the understanding of the health effects of pesticides exposure and of how pesticides have been and should be regulated.

This study presents literature reviews for the period 2000–2013 on (i) the health effects of pesticides and on (ii) preference valuation of health risks related to pesticides, as well as a discussion of the role of benefit-cost analysis applied to pesticide regulatory measures.

This study indicates that the health literature has focused on individuals with direct exposure to pesticides, i.e. farmers, while the literature on preference valuation has focused on those with indirect exposure, i.e. consumers. The discussion highlights the need to clarify the rationale for regulating pesticides, the role of risk perceptions in benefit-cost analysis, and the importance of inter-disciplinary research in this area.

This study relates findings of different disciplines (health, economics, public policy) regarding pesticides, and identifies gaps for future research.

In this study, a hybrid rough and grey set-based rule model is designed for diagnosis of one type of blood cancer called multiple myeloma (MM). The grey clustering method is used to combine the same condition attributes and to improve the validity of the final model.

Some tools of the rough set theory (RST) and grey incidence analysis (GIA) are used in this research to analyze the serum protein electrophoresis (SPE) test results. An RST-based rule model is extracted based on the laboratory SPE test results of patients. Also, one decision attribute and 15 condition attributes are used to extract the rules. About four rule models are constructed due to the different algorithms of data complement, discretization, reduction and rule generation. In the following phases, the condition attributes are clustered into seven clusters by using a grey clustering method, the value set of the decision attribute is decreased by using manual discretizing and the number of observations is increased in order to improve the accuracy of the model. Cross-validation is used for evaluation of the model results and finally, the best model is chosen with 5,216 rules and 98% accuracy.

In this paper, a new rule model with high accuracy is extracted based on the combination of the grey clustering method and RST modeling for diagnosis of the MM disease. Also, four primary rule models and four improved rule models have been extracted from different decision tables in order to define the result of SPE test of patients. The maximum average accuracy of improved models is equal to 95% and related to the gamma globulins percentage attribute/object-related reducts (GA/ORR) model.

The total number of observations for rule extraction is 115 and the results can be improved by further samples. To make the designed expert system handy in the laboratory, new computer software is under construction to import data automatically from the electrophoresis machine into the resultant rule model system.

The main originality of this paper is to use the RST and GST together to design and create a hybrid rule model to diagnose MM. Although many studies have been carried out on designing expert systems in medicine and cancer diagnosis, no studies have been found in designing systems to diagnose MM. On the other hand, using the grey clustering method for combining the condition attributes is a novel solution for improving the accuracy of the rule model.

This article summarizes and makes the case for the continued relevancy of the scholarly works of the late sociologist Norma Williams. Informed by the multicultural tradition in which Norma Williams and the author both inhabit, and drawing upon their autobiographical experiences as data, the article makes an argument for the relevancy, indeed desirability of multiculturalism (especially as an alternative to assimilation) for clarifying the multiple ways in which diversity and diverse claims promote basic human rights. Drawing extensively from the scholarly works of Herbert Blumer, we highlight how some of the assumptions upon which assimilationist arguments are constructed do not hold up empirically.

There are thousands of web sites about cancer and cancer‐related topics on the internet today; this webography offers an annotated list of selected sites.

The article begins with a brief explanation of how the web sites were evaluated and chosen. The generally accepted rules of authority, currency, purpose, objectivity, accuracy and audience were used in each case.

The sites included cover cancer in general, specific cancers, patient information, clinical trials and medical centers that treat cancer. Information on each site includes the name of the site, the URL and a brief abstract explaining what the site is about.

The information may be used by librarians as a quick reference, by physicians and other health‐care workers and by the patients and their families.

An abstract is not available for this product.

This case looks at an important business task: forecasting a new product. The case can be used to teach finance, marketing (new product introduction), and healthcare strategy. The product is one of Amgen's most important new products: denosumab. On the surface, the case is fairly easy; students simply have to do some simple mathematical calculations. However, the challenges of forecasting quickly become apparent; every forecast depends on some critical assumptions, and the answer can vary dramatically.

Highlight the importance of forecasting as a business task. Give students the opportunity to create a forecast, using logical assumptions to generate an answer. Illustrate how dramatically forecasts can vary. Demonstrate why sensitivity analysis and customer understanding are both critical when trying to forecast a new product launch.

The purpose of this study is to discuss recent research on arabinoxylans from rice bran and wheat byproducts and their immunomodulatory potentials. Also, a potential receptor for arabinoxylans is proposed in relation to arabinoxylans structure.

This review summarises recent publications on arabinoxylans from rice bran and wheat, classification of arabinoxylans, a brief background on their method of extraction and their immunomodulatory potentials as they induce pro-inflammatory response in vitro, in vivo and in humans. The mechanism of action in which arabinoxylans modulate the immune activity is yet to be discovered, However, the authors have proposed a potential receptor for arabinoxylans in relation to arabinoxylans structure and molecular weight.

The effects of arabinoxylans from rice bran and wheat on the immune response was found to cause a pro-inflammatory response in vitro, in vivo and in humans. Also, the immune response depends on arabinoxylans structure, the degree of branching and origin.

This review paper focuses on the effects of arabinoxylans from rice bran and wheat on immunomodulatory potentials in vitro, in vivo and in humans. A new mechanism of action has been proposed based on the literature and via linking between arabinoxylans and lipopolysaccharide structure, molecular weight and suggested proposed receptor, which might be activated via both of them.

Ward rounds in hospitals are crucial for decision-making in the context of patient treatment processes. However, these tasks are not systematically managed and are often extended due to missing information or equipment or staff unavailability. This research aims to assess whether ward rounds can be structured more efficiently and effectively from the perspective of patients and staff.

This mixed-method approach examines the ward rounds conducted in three units within a haematology department of a major Danish hospital. Baseline measures were collected to capture the value of the ward round described by patients and staff. The information on patient and equipment flows associated with a typical ward round was mapped with recommendations for improvement.

Staff aspired to deliver a good-quality ward round, but what this meant was never articulated and there were no established standards. The duration of the ward round was unpredictable and could take 6 hours to complete. Improvements identified by the team allow the ward rounds to be completed by mid-day with much more certainty.

This research provides an insight as to how ward rounds are conducted within a Danish haematology department.

The research has implications for those involved in ward rounds to reduce the time taken whilst maintaining quality and safety of patient care.

This research has implications for patients and their families who wish to spend time with consultants.

Previous research has focused on the interactions between doctors and nurses. This research focuses on the operational process of the ward round and presents a structured approach to support multi-disciplinary teams with a focus on value from the patient’s perspective.

The purpose is to offer a critique of the process of decision-making by top university administrators and to analyze how their decisions imposed their preferences and expanded administrative control.

In the fall of 2021, the top administrators at Boston-based Northeastern University required that all members of the university community return to fully on-campus face-to-face work. That decision involved a return to what was labeled “normal operations” and followed a year-and-a-half of adjustments to the COVID-19 pandemic. Building on that case example, the analysis then ranges backward and forward in time. Other decisions – by Northeastern University leaders as well as leaders at other schools – are considered as well.

Leaders impose labels on complex contingencies as a way of constructing meaning. No label is objectively true or indisputable. In the hands of individuals who possess hierarchical power and authority, the application of a label such as “new normal” represents an exercise of power. Through an exploration and analysis of the underlying, unspoken, assumptions behind the application of the “new normal” label, the article suggests how the interests of university leaders were being advanced.

Because of its reliance on labeling, the paper focuses mainly on the words of administrators – at Northeastern University and elsewhere – that are called upon to explain/justify decisions. The multiplicity of interests forwarded by the “new normal” label are explored. No attempt is made – nor would it be possible – to understand what was in the hearts and minds of these administrators.

The article makes a case that any and all pronouncements of leaders should be understood as assertions of power and statements of interests. The practical impact is to suggest a critical analysis to be applied to all such pronouncements.

The approach taken in this article is situated within post-modernist analysis that critiques dominant narratives, disputes epistemological certainty and ontological objectivity and takes cognizance of coded messages contained in language.

Everyone has been through a traumatic period of time with the pandemic. The author has focused on a specific community – university administrators and tenure/tenure track faculty – as a window to help explain how decision-makers shaped their response. The author wants to emphasize the labels imposed by leaders and the assumptions behind the application of those labels.