Prescreening Stage Research Articles

How business angel groups work: Rejection criteria in investment evaluation

In this article, we study the decision-making criteria that business angels (BAs) adopt when screening business opportunities in the different assessment phases (pre-screening, screening and due diligence). We exploit an original dataset of 1942 ventures that sought angel investment from 2008 to 2014 from the members of Italian Angels for Growth (IAG). Results have shown that the emphasis that BAs place on rejection criteria and contact channels varies along the three considered stages of the investment process. In particular, we found that business proposals brought to the attention of BAs by venture capitalists are more likely to get through the pre-screening stage, suggesting an important quality certification role played by venture capitalists. Moreover, at the screening stage (in comparison with the pre-screening stage), proposals are rejected more often for reasons related to the characteristics of the entrepreneur and management team and less often for the lack of business innovativeness. Finally, business proposals showing lower levels of profitability are more likely to be rejected after the due diligence.

The continuing transformation of Acta Crystallographica Section E and the launch of IUCrData.

The continuing transformation of Acta Crystallographica Section E and the launch of IUCrData.

Evaluating Client Selection and Selection Fidelity

The effectiveness of specialized interventions depends in part on the target population and whether those selected for admission to interventions (i.e., specialized programs) and recruited to participate in research evaluations are representative of the target population. This article describes the process by which clients were selected to participate in a specialized mental health caseload (SMHC). The study focuses on the referral and selection process at the program level and the factors influencing acceptance and rejection. Using a mixed methods approach, we found that selection was guided by a three-stage process: The first was a general education phase, followed by an informal pre-screening stage, and finally a formal screening stage. Once clients were referred, client selection was informed principally by the program’s formal criteria. Informal processes appeared consistent with the formal selection criteria. Further research is necessary to assess potential bias prior to the formal referral process.

The Glass Drop Ceiling: Composition Effects or Implicit Discrimination?

We analyze data from the Bank of Italy's most recent recruitment rounds, in an effort to explain why men consistently score better than women. We focus on the pre-screening stage of the hiring process, a multiple-choice test, where men acquire a preliminary advantage. After observing a higher incidence of questions left blank for women, and a negative correlation between the share of unanswered questions and the final score, we run an experiment on scoring formulas to check for implicit discrimination linked to risk aversion; no evidence of such discrimination is found. Based on a follow-up questionnaire, we also study the role of composition effects. Nearly 40 per cent of the gap in test scores depends on the quality of the candidates: male graduates appear to self-select into the applicant pool more frequently than females do. A further 34 per cent is explained by the fact that the same characteristics tend to produce different effects based on gender. The remaining 26 per cent remains unexplained.

A Low Complexity Two-Stage Target Detection Scheme for Resource Limited Radar Systems

A two-stage detector is proposed to accommodate high computational load requirements of modern radar systems. The first stage of the proposed system is a low-complexity detector that operates at an unusually high false alarm probability value around 1/10. This stage is to prescreen and eliminate some of the test cells with relatively few operations. The second stage operates only on the cells passing the prescreening stage and implements a high-complexity detector at a desired system false alarm rate. Due to the detector cascade, the second stage has a large amount of computational load reduction, on the order of 10 folds, in comparison with the single-stage systems. The mathematical analysis of the described two-stage detector is presented, and the relations for the false alarm and detection probability are derived. The numerical results show that it is possible to achieve a significant computational load reduction at a negligible performance loss with the proper selection of detector parameters.

Computer-aided detection of clustered microcalcifications in digital breast tomosynthesis: A 3D approach

To design a computer-aided detection (CADe) system for clustered microcalcifications in reconstructed digital breast tomosynthesis (DBT) volumes and to perform a preliminary evaluation of the CADe system. IRB approval and informed consent were obtained in this study. A data set of two-view DBT of 72 breasts containing microcalcification clusters was collected from 72 subjects who were scheduled to undergo breast biopsy. Based on tissue sampling results, 17 cases had breast cancer and 55 were benign. A separate data set of two-view DBT of 38 breasts free of clustered microcalcifications from 38 subjects was collected to independently estimate the number of false-positives (FPs) generated by the CADe system. A radiologist experienced in breast imaging marked the biopsied cluster of microcalcifications with a 3D bounding box using all available clinical and imaging information. A CADe system was designed to detect microcalcification clusters in the reconstructed volume. The system consisted of prescreening, clustering, and false-positive reduction stages. In the prescreening stage, the conspicuity of microcalcification-like objects was increased by an enhancement-modulated 3D calcification response function. An iterative thresholding and 3D object growing method was used to detect cluster seed objects, which were used as potential centers of microcalcification clusters. In the cluster detection stage, microcalcification candidates were identified using a second iterative thresholding procedure, which was applied to the signal-to-noise ratio (SNR) enhanced image voxels with a positive calcification response. Starting with each cluster seed object as the initial cluster center, a dynamic clustering algorithm formed a cluster candidate by including microcalcification candidates within a 3D neighborhood of the cluster seed object that satisfied the clustering criteria. The number, size, and SNR of the microcalcifications in a cluster candidate and the cluster shape were used to reduce the number of FPs. The prescreening stage detected a cluster seed object in 94% of the biopsied microcalcification clusters at a threshold of 100 cluster seed objects per DBT volume. After clustering, the detection sensitivity was 90% at 15 marks per DBT volume. After FP reduction, at 85% sensitivity, the average number of FPs estimated using the data set containing microcalcification clusters was 3.8 per DBT volume, and that estimated using the data set free of microcalcification clusters was 3.4. The detection performance for malignant microcalcification clusters was superior to that for benign clusters. Our study indicates the feasibility of the 3D approach to the detection of clustered microcalcifications in DBT and that the newly designed enhancement-modulated 3D calcification response function is promising for prescreening. Further work is needed to assess the generalizability of our approach and to improve its performance.

Superintendents’ Perceptions about Social Distance, Succession, and “Sunset” Provisions for Asian, Latino, and Native American Candidates Seeking Building-Level Administrator Positions

Research addressing the attraction and selection of individuals for administrator positions is encapsulated in a structural model that depicts different phases of the employee procurement process. Within the present study, attention is devoted to the prescreening stage of the selection process, and screening decisions of superintendents are examined for applicants varying in national origin (Asian, Latino, or Native American), chronological age (29 years old, 49 years old, or control condition), and level of administrator position sought (assistant high school principals or high school principal). Screening decisions of superintendents are cast into a 3 × 3 x 2 factorial design and a MANOVA indicates a significant interaction effect for national origin by focal positional. This finding is interpreted from a social distance perspective and alternative explanations are provided. Results suggest that only certain groups should follow the succession pattern and that a sunset provision fails to exist for these particular groups of job candidates.

Computer‐aided detection of lung nodules: False positive reduction using a 3D gradient field method and 3D ellipsoid fitting

We are developing a computer-aided detection system to assist radiologists in the detection of lung nodules on thoracic computed tomography (CT) images. The purpose of this study was to improve the false-positive (FP) reduction stage of our algorithm by developing features that extract three-dimensional (3D) shape information from volumes of interest identified in the prescreening stage. We formulated 3D gradient field descriptors, and derived 19 gradient field features from their statistics. Six ellipsoid features were obtained by computing the lengths and the length ratios of the principal axes of an ellipsoid fitted to a segmented object. Both the gradient field features and the ellipsoid features were designed to distinguish spherical objects such as lung nodules from elongated objects such as vessels. The FP reduction performance in this new 25-dimensional feature space was compared to the performance in a 19-dimensional space that consisted of features extracted using previously developed methods. The performance in the 44-dimensional combined feature space was also evaluated. Linear discriminant analysis with stepwise feature selection was used for classification. The parameters used for feature selection were optimized using the simplex algorithm. Training and testing were performed using a leave-one-patient-out scheme. The FP reduction performances in different feature spaces were evaluated by using the area Az under the receiver operating characteristic curve and the number of FPs per CT section at a given sensitivity as accuracy measures. Our data set consisted of 82 CT scans (3551 axial sections) from 56 patients with section thickness ranging from 1.0 to 2.5 mm. Our prescreening algorithm detected 111 of the 116 solid nodules (nodule size: 3.0-30.6 mm) marked by experienced thoracic radiologists. The test Az values were 0.95 +/- 0.01, 0.88 +/- 0.02, and 0.94 +/- 0.01 in the new, previous, and combined feature spaces, respectively. The number of FPs per section at 80% sensitivity in these three feature spaces were 0.37, 1.61, and 0.34, respectively. The improvement in the test Az with the 25 new features was statistically significant (p<0.0001) compared to that with the previous 19 features alone.

Testing for BRCA1 mutations: a cost-effectiveness analysis.

Breast carcinoma is the most common type of cancer affecting women in the Western world. The hereditary forms, which amount from 5 to 10% of all the cases of breast cancer, mainly involve BRCA1 or BRCA2 mutations. Due to the diagnostic strategy used by the patent owner, Direct DNA sequencing (DS) may become the only BRCA1/2 test procedure available, although there exist several alternative strategies. A cost-effectiveness study was carried out using BRCA1 testing as a model. The main techniques available for performing mutation searches were assessed: DS, denaturing high performance liquid chromatography (DHPLC), single-strand conformation polymorphism (SSCP), denaturing gradient gel electrophoresis (DGGE), heteroduplex analysis (HA), fluorescent assisted mismatch analysis (FAMA) and the protein truncation test (PTT). Twenty strategies involving the use of one or more techniques were then devised for performing the complete genetic analysis. DS was adopted as the 'gold standard' for effectiveness. All the strategies except for DS involved a two-step procedure. The first step consisted of pre-screening the 22 coding exons of BRCA1. The second step consisted of performing DS only on the variations detected in the coding sequence. The cost of the strategies tested, including a pre-screening stage, turned out to be 30 to 90% lower than that of DS, whatever annual use was made of the equipment. The most cost-effective strategy, ie, that corresponding to the lowest cost per mutation detected, was found to be a combination between PTT on exon 11 (60% of the coding sequence) and HA on the remaining 21 exons (PTT(11)+ HA(21)). However, since a high false negative rate is associated with this strategy, at least four other strategies are worth mentioning: PTT(11)+ DHPLC(21), DHPLC alone, FAMA(11)+ DHPLC(21) and FAMA alone. Our results on genetic testing for breast cancer show that DS is not the most cost-effective method available. The monopolist approach of the firm which owns the patents on the BRCA1/2 genes, may, therefore limit the use of the most cost-effective strategies.

Should I use a computer-assisted career guidance system? It depends on where your career decision-making difficulties lie

The present study examined the pattern of career decision-making difficulties encountered by 417 young adults who used one or more of the computer-assisted career guidance systems (CACGSs) available at one of the Israeli Veteran Administration's counselling centres, and assessed the effectiveness of these CACGSs in reducing their career decision-making difficulties. Career decision-making difficulties were found to be highest for individuals who were prior to the pre-screening stage of the career decision-making process and lowest for those who were at the choice stage. The reduction in difficulties after using the CACGSs was statistically significant in seven of the 10 difficulty categories examined: an especially marked reduction was found for difficulties related to lack of information. No such reduction was observed for difficulties related to external conflicts. Participants' perception of having been assisted through the dialogue with the CACGSs was highest for individuals who used all three systems, and lowest for those who accessed only one of the three CACGSs.

‘Should I use a computer-assisted career guidance system?’ It depends on where your career decision-making difficulties lie

The present study examined the pattern of career decision-making difficulties encountered by 417 young adults who used one or more of the computer-assisted career guidance systems (CACGSs) available at one of the Israeli Veteran Administration's counselling centres, and assessed the effectiveness of these CACGSs in reducing their career decision-making difficulties. Career decision-making difficulties were found to be highest for individuals who were prior to the pre-screening stage of the career decision-making process and lowest for those who were at the choice stage. The reduction in difficulties after using the CACGSs was statistically significant in seven of the 10 difficulty categories examined: an especially marked reduction was found for difficulties related to lack of information. No such reduction was observed for difficulties related to external conflicts. Participants' perception of having been assisted through the dialogue with the CACGSs was highest for individuals who used all three systems...

Target-Accelerated Combinatorial Synthesis and Discovery of Highly Potent Antibiotics Effective Against Vancomycin-Resistant Bacteria.

Biological activity can be predicted at a prescreening stage by using a target-accelerated combinatorial synthesis. The rate of dimerization of vancomycin analogues (see picture, X=CH=CH2, SAc) in the presence of vancomycin's targets Ac-D-Ala-D-Ala and Ac2-L-Lys-D-Ala-D-Ala correlated well with the observed biological activity. From this study three highly potent antibacterial agents effective against both vancomycin-susceptible and vancomycin-resistant bacteria strains were identified.

Counselors' judgments of the quality of the prescreening stage of the career decision-making process.

The first stage of the career decision-making process is prescreening, which aims at locating promising alternatives deserving further exploration. J. L. Holland's (1997) concepts of differentiation, consistency, and coherence were adapted to cases in which an individual's career-related preferences, which serve as guidelines for locating such promising alternatives, are expressed in many work aspects (e.g., length of training, income, work environment) and not merely in terms of vocational interests. The assumption was that, as for interests, the optimal starting point is crystallized preferences. Judgments of 29 career counseling psychologists and 48 counseling graduate students who were presented with information about the career-related preferences of 18 hypothetical clients supported the hypotheses that crystallized preferences are differentiated, that they are consistent, and that they are coherent. The judgments of these experts on 9 lists of occupations supported the hypothesis that the desirable outcome of the prescreening stage is a concise and homogeneous list of promising alternatives.

Counselors' judgments of the quality of the prescreening stage of the career decision-making process.

Counselors' judgments of the quality of the prescreening stage of the career decision-making process.

A multiple-criteria approach to machine selection for flexible manufacturing systems

This paper describes a visual interactive decision support framework designed to aid decision makers in selecting the most appropriate machines for a flexible manufacturing system (FMS). The framework can be used in the preinvestment stage of the planning process, after a decision has been made, in principle, to build an FMS. The framework mainly consists of two parts. The first part is called the prescreening stage, which narrows down all possible configurations by using the analytic hierarchy process (AHP). The second part uses a goal programming (GP) model to find out the satisfactory candidate from the remaining shortlisted configuration. After applying the GP model, AH P is used again for sensitivity analysis. This approach helps managers explore and evaluate costs and benefits of various scenarios for each configuration separately by experimenting with different types of machines and degrees of flexibility of the system.