Evaluation of contact and non-contact trapping efficiencies of human scent chemical profiles and their stabilities under different environmental conditions

Establishing an association between the scent a perpetrator left at a crime scene to the odor of the suspect of that crime is the basis for the use of human scent identification evidence in a court of law. Law enforcement agencies gather evidence through the collection of scent from the objects that a perpetrator may have handled during the execution of the criminal act. The collected scent evidence is consequently presented to the canines for identification line-up procedures with the apprehended suspects. Presently, canine scent identification is admitted as expert witness testimony, however, the accurate behavior of the dogs and the scent collection methods used are often challenged by the court system. The primary focus of this research project entailed an evaluation of contact and non-contact scent collection techniques with an emphasis on the optimization of collection materials of different fiber chemistries to evaluate the chemical odor profiles obtained using varying environment conditions to provide a better scientific understanding of human scent as a discriminative tool in the identification of suspects. The collection of hand odor from female and male subjects through both contact and non-contact sampling approaches yielded new insights into the types of VOCs collected when different materials are utilized, which had never been instrumentally performed. Furthermore, the collected scent mass was shown to be obtained in the highest amounts for both gender hand odor samples on cotton sorbent materials. Compared to non-contact sampling, the contact sampling methods yielded a higher number of volatiles, an enhancement of up to 3 times, as well as a higher scent mass than non-contact methods by more than an order of magnitude. The evaluation of the STU-100 as a non-contact methodology highlighted strong instrumental drawbacks that need to be targeted for enhanced scientific validation of current field practices. These results demonstrated that an individual's human scent components vary considerably depending on the method used to collect scent from the same body region. This study demonstrated the importance of collection medium selection as well as the collection method employed in providing a reproducible human scent sample that can be used to differentiate individuals.

An evaluation of exchange rate policy and economic adjustment in Nicaragua, 1993--1995

Since the late 1970's, but particularly since the mid-1980s, the economy of Nicaragua has had persistent and large macroeconomic imbalances, while GDP per-capita has declined to 1950s' levels. By the second half of the 1990s, huge fiscal deficits and a reduction of foreign financing resulted in record hyperinflation. The Sandinista government's (1979–1990) harsh stabilization program in 1988–89 had only modest and short-lived success. It was doomed by their inability to lower the public sector deficit due to the war, plus diminishing financial support from abroad. Hyperinflation stopped only after their 1990 electoral defeat ended the war and massive aid began to flow in. Five years later, macroeconomic stability is still very fragile. A sluggish recovery of export agriculture plus import liberalization, have impeded a reduction of huge trade and current account deficits. Facing the prospects of diminished aid flows, the government's strategy has hinged on the achievement of a real devaluation through a crawling-peg adjustment of the nominal rate. However, at the end of 1995 the situation of the external accounts was still critical, and the modest progress achieved was attributable to cyclical terms-of-trade improvement and changes in the political outlook of agricultural producers. Using a Computable General Equilibrium Model and a Social Accounting Matrix constructed for this dissertation, the importance of structural rigidities in production and demand in explaining such outcome is shown. It is shown that under the plausible structural assumptions incorporated in the model, the role of devaluation in the adjustment process is restricted by structural rigidities. Moreover, contrary to the premise of the orthodox economic thinking behind the economic program, it is the contractionary effect of devaluation more than its expenditure-switching effects that provide the basis for is use in solving the external sector's problems. A fixed nominal exchange rate is found to lead to adverse results. The broader conclusion that emerges from the study is that a new social compact and a rapid increase in infrastructure spending plus fiscal support for the traditional agro-export activities is at the center of a successful adjustment towards external viability in Nicaragua. ^

Parent involvement on school advisory councils: A process evaluation at the middle school level

Increasing parental involvement was made an important goal for all Florida schools in educational reform legislation in the 1990's. A forum for this input was established and became known as the School Advisory Council (SAC). To demonstrate the importance of process and inclusion, a south Florida school district and its local teacher's union agreed on the following five goals for SACs: (a) to foster an environment of professional collaboration among all stakeholders, (b) to assist in the preparation and evaluation of the school improvement plan, (c) to address all state and district goals, (d) to serve as the avenue for authentic and representative input from all stakeholders, and (e) to ensure the continued existence of the consensus-building process on all issues related to the school's instructional program. ^ The purpose of this study was to determine to what extent and in what ways the parent members of one south Florida middle school's SAC achieved the five district goals during its first three years of implementation. The primary participants were 16 parents who served as members of the SAC, while 16 non-parent members provided perspective on parent involvement as “outside sources.” Being qualitative by design, factors such as school climate, leadership styles, and the quality of parental input were described from data collected from four sources: parent interviews, a questionnaire of non-parents, researcher observations, and relevant documents. A cross-case analysis of all data informed a process evaluation that described the similarities and differences of intended and observed outcomes of parent involvement from each source using Stake's descriptive matrix model. A formative evaluation of the process compared the observed outcomes with standards set for successful SACs, such as the district's five goals. ^ The findings indicated that parents elected to the SACs did not meet the intended goals set by the state and district. The school leadership did not foster an environment of professional collaboration and authentic decision-making for parents and other stakeholders. The overall process did not include consensus-building, and there was little if any input by parents on school improvement and other important issues relating to the instructional program. Only two parents gave the SAC a successful rating for involving parents in the decision-making process. Although compliance was met in many of the procedural transactions of the SAC, the reactions of parents to their perceived role and influence often reflected feelings of powerlessness and frustration with a process that many thought lacked meaningfulness and productivity. Two conclusions made from this study are as follows: (a) that the role of the principal in the collaborative process is pivotal, and (b) that the normative-re-educative approach to change would be most appropriate for SACs. ^

Neural network based off-line handwritten text recognition system

This dissertation introduces a new system for handwritten text recognition based on an improved neural network design. Most of the existing neural networks treat mean square error function as the standard error function. The system as proposed in this dissertation utilizes the mean quartic error function, where the third and fourth derivatives are non-zero. Consequently, many improvements on the training methods were achieved. The training results are carefully assessed before and after the update. To evaluate the performance of a training system, there are three essential factors to be considered, and they are from high to low importance priority: (1) error rate on testing set, (2) processing time needed to recognize a segmented character and (3) the total training time and subsequently the total testing time. It is observed that bounded training methods accelerate the training process, while semi-third order training methods, next-minimal training methods, and preprocessing operations reduce the error rate on the testing set. Empirical observations suggest that two combinations of training methods are needed for different case character recognition. Since character segmentation is required for word and sentence recognition, this dissertation provides also an effective rule-based segmentation method, which is different from the conventional adaptive segmentation methods. Dictionary-based correction is utilized to correct mistakes resulting from the recognition and segmentation phases. The integration of the segmentation methods with the handwritten character recognition algorithm yielded an accuracy of 92% for lower case characters and 97% for upper case characters. In the testing phase, the database consists of 20,000 handwritten characters, with 10,000 for each case. The testing phase on the recognition 10,000 handwritten characters required 8.5 seconds in processing time.

Off-line and on-line affective recognition of a computer user through a biosignal processing approach

Physiological signals, which are controlled by the autonomic nervous system (ANS), could be used to detect the affective state of computer users and therefore find applications in medicine and engineering. The Pupil Diameter (PD) seems to provide a strong indication of the affective state, as found by previous research, but it has not been investigated fully yet. ^ In this study, new approaches based on monitoring and processing the PD signal for off-line and on-line affective assessment ("relaxation" vs. "stress") are proposed. Wavelet denoising and Kalman filtering methods are first used to remove abrupt changes in the raw Pupil Diameter (PD) signal. Then three features (PDmean, PDmax and PDWalsh) are extracted from the preprocessed PD signal for the affective state classification. In order to select more relevant and reliable physiological data for further analysis, two types of data selection methods are applied, which are based on the paired t-test and subject self-evaluation, respectively. In addition, five different kinds of the classifiers are implemented on the selected data, which achieve average accuracies up to 86.43% and 87.20%, respectively. Finally, the receiver operating characteristic (ROC) curve is utilized to investigate the discriminating potential of each individual feature by evaluation of the area under the ROC curve, which reaches values above 0.90. ^ For the on-line affective assessment, a hard threshold is implemented first in order to remove the eye blinks from the PD signal and then a moving average window is utilized to obtain the representative value PDr for every one-second time interval of PD. There are three main steps for the on-line affective assessment algorithm, which are preparation, feature-based decision voting and affective determination. The final results show that the accuracies are 72.30% and 73.55% for the data subsets, which were respectively chosen using two types of data selection methods (paired t-test and subject self-evaluation). ^ In order to further analyze the efficiency of affective recognition through the PD signal, the Galvanic Skin Response (GSR) was also monitored and processed. The highest affective assessment classification rate obtained from GSR processing is only 63.57% (based on the off-line processing algorithm). The overall results confirm that the PD signal should be considered as one of the most powerful physiological signals to involve in future automated real-time affective recognition systems, especially for detecting the "relaxation" vs. "stress" states.^

Parent involvement on school advisory councils: a process evaluation at the middle school level

Increasing parental involvement was made an important goal for all Florida schools in educational reform legislation in the 1990's. A forum for this input was established and became known as the School Advisory Council (SAC). To demonstrate the importance of process and inclusion, a south Florida school district and its local teacher's union agreed on the following five goals for SACs: (a) to foster an environment of professional collaboration among all stakeholders, (b) to assist in the preparation and evaluation of the school improvement plan, (c) to address all state and district goals, (d) to serve as the avenue for authentic and representative input from all stakeholders, and (e) to ensure the continued existence of the consensus-building process on all issues related to the school's instructional program. The purpose of this study was to determine to what extent and in what ways the parent members of one south Florida middle school's SAC achieved the five district goals during its first three years of implementation. The primary participants were 16 parents who served as members of the SAC, while 16 non-parent members provided perspective on parent involvement as "outside sources." Being qualitative by design, factors such as school climate, leadership styles, and the quality of parental input were described from data collected from four sources: parent interviews, a questionnaire of non-parents, researcher observations, and relevant documents. A cross-case analysis of all data informed a process evaluation that described the similarities and differences of intended and observed outcomes of parent involvement from each source using Stake's descriptive matrix model. A formative evaluation of the process compared the observed outcomes with standards set for successful SACs, such as the district's five goals. The findings indicated that parents elected to the SACs did not meet the intended goals set by the state and district. The school leadership did not foster an environment of professional collaboration and authentic decision-making for parents and other stakeholders. The overall process did not include consensus-building, and there was little if any input by parents on school improvement and other important issues relating to the instructional program. Only two parents gave the SAC a successful rating for involving parents in the decision-making process. Although compliance was met in many of the procedural transactions of the SAC, the reactions of parents to their perceived role and influence often reflected feelings of powerlessness and frustration with a process that many thought lacked meaningfulness and productivity. Two conclusions made from this study are as follows: (a) that the role of the principal in the collaborative process is pivotal, and (b) that the normative-re-educative approach to change would be most appropriate for SACs.

Off-line and On-line Affective Recognition of a Computer User through A Biosignal Processing Approach

Physiological signals, which are controlled by the autonomic nervous system (ANS), could be used to detect the affective state of computer users and therefore find applications in medicine and engineering. The Pupil Diameter (PD) seems to provide a strong indication of the affective state, as found by previous research, but it has not been investigated fully yet. In this study, new approaches based on monitoring and processing the PD signal for off-line and on-line affective assessment (“relaxation” vs. “stress”) are proposed. Wavelet denoising and Kalman filtering methods are first used to remove abrupt changes in the raw Pupil Diameter (PD) signal. Then three features (PDmean, PDmax and PDWalsh) are extracted from the preprocessed PD signal for the affective state classification. In order to select more relevant and reliable physiological data for further analysis, two types of data selection methods are applied, which are based on the paired t-test and subject self-evaluation, respectively. In addition, five different kinds of the classifiers are implemented on the selected data, which achieve average accuracies up to 86.43% and 87.20%, respectively. Finally, the receiver operating characteristic (ROC) curve is utilized to investigate the discriminating potential of each individual feature by evaluation of the area under the ROC curve, which reaches values above 0.90. For the on-line affective assessment, a hard threshold is implemented first in order to remove the eye blinks from the PD signal and then a moving average window is utilized to obtain the representative value PDr for every one-second time interval of PD. There are three main steps for the on-line affective assessment algorithm, which are preparation, feature-based decision voting and affective determination. The final results show that the accuracies are 72.30% and 73.55% for the data subsets, which were respectively chosen using two types of data selection methods (paired t-test and subject self-evaluation). In order to further analyze the efficiency of affective recognition through the PD signal, the Galvanic Skin Response (GSR) was also monitored and processed. The highest affective assessment classification rate obtained from GSR processing is only 63.57% (based on the off-line processing algorithm). The overall results confirm that the PD signal should be considered as one of the most powerful physiological signals to involve in future automated real-time affective recognition systems, especially for detecting the “relaxation” vs. “stress” states.