Executive Order Number Fifty Seven, June 28, 1995

Directs Department of Personnel to develop policy that will assist in continuing efforts to maintain a violence-free workplace.

Executive Order Number Fifty Eight, July 1, 1995

Delegates the authority and responsibility for the Job Training Partnership Act to the Workforce Development Department(WDD). Replaces and rescinds Executive Order #24.

Executive Order Number Fifty Nine, September 30, 1996

Assings the responsibility of meeting State's requirement to eastablish a Human Resource Investment Council, in conformance with P.L. 102-367. Rescinds Executive Order #53.

Executive Order Number Sixty, May 19, 1997

Delegates responibility to state agencies for making training available to employees who are responsible for services contracting. Rescind Exectuive Order #50, May 2, 1997. Rescinded Executive Order #25, Vilsack, June 4, 2002.

Executive Order Number Sixty One, 1997

Assigns responsibility to coordinate disparate information technology and to provide enterprise-wide information technology services to the exectutive branch agencies to the Information Technology Services (ITS) director appointed by the Governor.

Executive Order Number Sixty Two, January 9, 1998

Rescinds Executive Order #54 and replaces it with a new team called the Primary Iowa Harzard Mitigation Team to coordinate state response to natural and technological disaters.

Executive Order Number Sixty Three, Februray 10, 1998

Establishes a nine-number committee for the Automated Fingerprint Identification System.

Executive Order Number Sixty Four, May 18, 1998

Amends Executive Order #48 only by changing the name from the Iowa Commission for National and Community Service to the Iowa Commission on Volunteer Service.

Executive Order Number Sixty Five, May 20, 1988

Establish the Iowa Geographic Information Council.

Executive Order Number Sixty Six, May 20, 1988

Establish the Iowa Geographic Information Council.

Executive Order Number Sixty Seven, August 21, 1998

Establishs the Council for continuous improvment in Education to facilitation statewide effort to prepare, recruit, induct, retrain effective educational infrastrucational

Effect of Pcbs (Aroclor 1254) on spermatogenesis In Testis Of Mouse

Polychlorinated biphenyls (PCBs) are a group of halogenated aromatic hydrocarbons, synthetic chemicals which do not occur naturally in the environment. PCBs are considered potential endocrine disruptors. They are estrogen-like and anti-androgenic chemicals in the environment contain potentially hazardous effects on male reproductive axis resulting in infertility and other hormonal dependent reproductive functions. These toxic substance cause alteration of the endocrine systems, mimic natural hormones and inhibit the action of hormones. The aim of this study is to examine the effect of Polychlorinated biphenyls (PCBs) on testicular development of male reproductive system in mice. The male mice were randomly assigned to five groups with each group comprising twenty-one members. In those mice were administered 0 μg/kg (control group) and 0.5, 5, 50, 500 μg/kg Aroclor 1254 (treated group) by gavages three time per week. Treatment was carried out for 50 days after which the mouse was sacrificed and the body weight, testicular weight; epedidymis weight, sperm mortality, sperm count and sperm abnormality were taken. However, there was no significant difference in testicular/body weight and epididymis/body weight ratio in treated group compared with the control group. According to the analysis of sperm quality, Aroclor 1254 treated group demonstrated significant increased in sperm mortality in 500 μg/kg; decreased the sperm count in 0.5 μg/kg, 5 μg/kg, 50 μg/kg and 500 μg/kg; and significantly elevate the sperm abnormality in 50 μg/kg and 500 μg/kg compared to the control in a dose-dependent manner. The sex hormone levels in the testes were detected by radio-immunoassay (RIA) method. The levels of testosterone and 17β-estradiol did not reveal significant alteration (p< 0.05) in PCBs treated groups compared to the control in a dose-dependent manner. The testis were obtained and subjected to routine histopathology following exposure to PCBs in supplement diet. The diameter of the seminiferous tubule and the number of Sertoli cells in the treated group increased significantly (p< 0.05) in comparison to the control group. For the spermatogenic cell, the number of germ cell in high concentration decreased significantly (p< 0.05). However, spermatogonia cells in PCB treated group showed non-significant difference (p< 0.05) compared to the control. vii Western blot analysis was used to determine the level of protein between the control and treated group. The level of Proliferating cell nuclear antigen (PCNA) was determined and the results have shown no significant alteration between the treated groups and the control. the level of sex hormone receptor (ER α/β); Androgen receptor (AR) were identified in the testes to detect the proliferative effect induced by PCBs. Statistical analyses of AR, ER α and ER β did not reveal significant difference between the control and the treated groups. In the present study, we continue to investigate adverse effect of Aroclor 1254 and their mechanism on spermatogenesis. The result of Sperm quality and histopathology showed that Aroclor 1254 at low concentration induce inhibitory effect on testicular function of male mouse.

On the number of independent cultural traits carried by individuals and populations.

In species subject to individual and social learning, each individual is likely to express a certain number of different cultural traits acquired during its lifetime. If the process of trait innovation and transmission reaches a steady state in the population, the number of different cultural traits carried by an individual converges to some stationary distribution. We call this the trait-number distribution. In this paper, we derive the trait-number distributions for both individuals and populations when cultural traits are independent of each other. Our results suggest that as the number of cultural traits becomes large, the trait-number distributions approach Poisson distributions so that their means characterize cultural diversity in the population. We then analyse how the mean trait number varies at both the individual and population levels as a function of various demographic features, such as population size and subdivision, and social learning rules, such as conformism and anti-conformism. Diversity at the individual and population levels, as well as at the level of cultural homogeneity within groups, depends critically on the details of population demography and the individual and social learning rules.